The study was conducted from 2022 to 2024 at the Polli Horticultural Research Centre in southern Estonia. The adjacent orchards shared the same Albic Luvisol soil type, MM106 rootstock, standard-spindle training system, planting density and ground-cover management, and were separated by about 300 metres. The organic orchard had been managed under its system since 2008 and the IPM orchard since 2010, giving the sites 14 and 12 years of management history when observations began. The study examined the Estonian cultivars “Katre” and “Krista” and the Belarusian cultivar “Alesja,” assessing yield, fruit chemistry, peel colour, firmness, soil chemistry, earthworms and springtails. These were orchard-level observations from two specific sites rather than a randomized comparison of many independent orchards.

The orchards differed chiefly in crop protection and fertilisation. Neither used herbicides. The IPM orchard received registered synthetic insecticides, including deltamethrin and flonicamid, and fungicides including cyprodinil, difenoconazole and dithianon. The organic orchard relied on products permitted in organic production, including azadirachtin and Bacillus thuringiensis, and no fungicides were applied there. In the fertilised years, nitrogen inputs were substantially higher in the IPM orchard: a compound fertiliser in 2022 supplied 36.4 kg N per hectare, while ammonium nitrate in 2024 supplied 41.4 kg N per hectare. The organic orchard received poultry manure-based fertiliser supplying 11.8 kg N per hectare per application. No fertiliser was applied in either orchard in 2023. Because management history, crop protection and fertiliser inputs were not independently manipulated, their separate effects could not be determined.

Yield was evaluated in 2022, the only year for which a representative crop could be compared. Severe frosts in early May 2023 destroyed the crop, and frost during flowering in 2024 produced non-representative crop loads, so yield was not assessed in those years. Total yield was significantly higher under IPM management for “Katre” and “Alesja,” while no significant system difference occurred for “Krista.” Averaged across cultivars, total yield was 42.1 ± 9.1 kg per tree in the IPM orchard and 32.1 ± 18.4 kg per tree in the organic orchard. Fresh-market yield was also higher overall under IPM, at 28.1 ± 7.2 versus 19.7 ± 12.6 kg per tree, but the proportion classified as fresh-market fruit did not differ consistently between systems. The higher fresh-market output therefore reflected greater total production rather than a universal improvement in marketability. “Alesja” was an exception: only 49.3% of organically grown fruit met fresh-market standards, compared with 72.8% under IPM, largely because of greater codling moth damage in the organic orchard.

Because fertilisation was not experimentally separated from the production systems, the study could not determine whether nutrient supply or another aspect of management caused the observed differences. The IPM orchard nevertheless produced fruit with higher average nitrogen concentrations in 2024, while organic apples had higher average phosphorus and potassium. Fruit firmness ranged from 52 to 82 N in 2022 and 40 to 58 N in 2024, but did not differ significantly between cultivation systems for any cultivar in either year. Colour, measured only in 2024, showed a clearer system-level pattern. Averaged across cultivars, organic apples had lower lightness, higher redness and chroma, and lower hue angle, indicating darker, redder and more intensely coloured peel. Cultivar-specific differences were less consistent, with organic “Alesja” showing significantly greater chroma than its IPM counterpart while several other within-cultivar comparisons were not significant. The study associated these patterns with the different nutrient regimes, but it did not establish nitrogen availability as the cause.

Taste-related measures followed no single management pattern. Soluble solids content was lower in IPM-grown “Katre” and “Krista” in 2022, but the reverse occurred for “Alesja”; in 2024, soluble solids were again lower in IPM “Katre” while “Alesja” was lower. Titratable acidity was higher in organic “Katre” and “Alesja” in both sampled years, but the overall ratio of soluble solids to titratable acids was higher under IPM when averaged across cultivars. Some contrasts reached levels that consumers could potentially perceive: the study cited thresholds of more than 1 °Brix for soluble solids and more than 0.08% for titratable acidity. These included 1.1 °Brix for “Krista” in 2022 and acidity differences of 0.10–0.17% for “Katre.” Individual sugars did not show a consistent system effect, and the authors noted that genotype and weather appeared to influence fruit composition more strongly than management history.

Antioxidant measurements produced a similar cultivar-dependent pattern. Organic “Katre” had significantly higher total polyphenol content in both 2022 and 2024, but the same difference was not detected for “Krista” or “Alesja.” “Alesja” had the highest total polyphenol and anthocyanin concentrations regardless of cultivation system, supporting the importance of genotype. Anthocyanins averaged higher in organic fruit in 2022, but the management effect disappeared in 2024, and there was no significant overall difference in ascorbic acid content. The contrast between years coincided with contrasting weather: a cool spring and dry June preceded a warm August in 2022, whereas 2024 brought exceptionally dry May conditions followed by above-average temperatures and wetter late-season conditions. The researchers said these climatic differences could alter pigment and vitamin C accumulation, making it inappropriate to treat the two years as equivalent tests of a stable management effect.

Soil chemistry showed significant differences between the orchards. Organic orchard soil had higher pH, phosphorus and calcium in each sampling year. Its pH in KCl ranged from 5.84 to 6.27, compared with 4.94 to 5.24 in the IPM orchard. Total phosphorus was 109–122 mg per kilogram in the organic soil and 47–55 mg per kilogram in the IPM soil, while calcium ranged from 969 to 1,050 versus 658 to 726 mg per kilogram. Magnesium, total nitrogen and total potassium did not differ significantly. The different fertiliser sources were plausibly involved: the organic orchard’s poultry manure product supplied calcium and organic matter, but fertiliser type could not be isolated from the orchards’ longer management histories or site-specific conditions.

Earthworm results showed contrasting patterns between total abundance and community composition. Six species were recorded in both systems, but total abundance was significantly higher in the IPM orchard in 2024, with mean abundance across the three years reported as 148.0 ± 28.5 individuals per square metre, compared with 96.4 ± 9.1 in the organic orchard. The pattern was not explained by permanent dominance of one ecological group. Instead, the organic orchard consistently had a higher share of anecic earthworms, which occupy deep permanent burrows and feed at the surface, including A. longa. Exploratory ordination associated organic samples with higher pH, phosphorus, calcium, magnesium and microbial-activity indices, while IPM samples were positioned closer to precipitation, moisture and temperature variables. These were visual associations rather than formal causal tests: the analysis used only six orchard-year combinations, and soil microbial respiration and biomass lacked independent within-orchard replication.

Springtails did not show a significant overall abundance response to management. Across the study, total abundance was not significantly affected by year, cultivation system or their interaction, although the organic orchard numerically exceeded IPM in 2022 and 2023 before the order reversed in 2024. Ecological life form did matter: euedaphic springtails living within the soil matrix were significantly more abundant than hemiedaphic forms. The organic orchard generally recorded more species, including 20, 22 and 21 in the three years, compared with 18, 23 and 17 under IPM, while the IPM orchard had a higher share of euedaphic forms in two years. Exploratory correlations linked community differences to soil moisture, precipitation, nitrogen, pH and phosphorus rather than demonstrating a direct effect of cultivation system.

Together, the results offer a nuanced picture of long-term apple production under Nordic and Baltic conditions. IPM management was associated with greater productivity for two cultivars, and organic management with more intense peel colour, higher soil pH, more phosphorus and calcium, and a larger proportion of anecic earthworms. Neither system consistently produced sweeter, more acidic or more antioxidant-rich fruit across cultivars and years. The study’s strongest limitation is also its most important caution: each system was represented by only one orchard, so cultivation method was confounded with orchard identity, microclimate and management history. Trees and soil sampling points were subsamples rather than independent orchard-level replicates. Replicated comparisons across multiple orchards would be needed before these site-specific patterns could be generalized to organic and IPM production systems.

Subject of Research: Comparison of apple quality and soil biological diversity in long-term organic and integrated pest management orchards

Article Title: Apple quality and soil biological diversity in long-term organic and IPM apple orchards

Article References: Moor, U., Kuu, A., Kahu, K., Põldma, P., & Rätsep, R. (2026). Apple quality and soil biological diversity in long-term organic and IPM apple orchards. Frontiers in Sustainable Food Systems, 10, Article 1943487. https://doi.org/10.3389/fsufs.2026.1943487

Image Credits: AI Generated

DOI: 10.3389/fsufs.2026.1943487

Keywords: apple orchards, organic farming, integrated pest management, soil biodiversity, earthworms, springtails, fruit quality, peel colour, antioxidants, Estonia, Apple, quality

The study examined proximate composition, physicochemical properties, antioxidant content, microbial populations and color. Samples were assessed at multiple storage intervals over the 180-day period, enabling the researchers to track changes in dried mango as it remained under ambient conditions. Pre-treated samples generally received better scores for vitamin C content, antioxidant content and color analysis than untreated dried mango.

These measures nevertheless declined as the storage interval increased, showing that quality loss continued during the experiment despite pre-treatment. Comparisons among the treated groups indicated that the herbal pre-treatments preserved vitamin C and antioxidants effectively, with results comparable to those recorded for chemical treatments. Microbial populations were higher in untreated dried mango slices than in the pre-treated samples.

However, the reported microbial population remained below the permissible limit. Taken together, the findings indicate that herbal pre-treatments can help preserve the nutritional, visual and microbial quality of dried mango during ambient storage.

Subject of Research: Effects of chemical and herbal pre-treatments on dried mango quality during 180-day ambient storage

Article Title: Impact of chemical and herbal pre-treatments on shelf life and quality characteristics of dried mango ( Mangifera Indica L.) slices

Article References: Ahmad, S., Khan, M. R., Aadil, R. M., & Israr, B. (2026). Impact of chemical and herbal pre-treatments on shelf life and quality characteristics of dried mango (Mangifera Indica L.) slices. PLOS One, 21(10), e0360666. https://doi.org/10.1371/journal.pone.0360666

Image Credits: AI Generated

DOI: 10.1371/journal.pone.0360666

Keywords: dried mango, food preservation, herbal pre-treatments, chemical pre-treatments, vitamin C, antioxidants, microbial analysis, food storage, ambient conditions, fruit quality, Impact, chemical

X-ray computed tomography enables non-destructive extraction of internal structural features from intact fruit. Applications to apple and pear tissue have demonstrated porosity mapping, cellular-level characterisation, and automated disorder detection via deep learning. However, most CT-based quality studies apply fixed segmentation parameters calibrated on a single cultivar or narrow cultivar range. For example, one study applied a fixed porosity threshold optimised for Fuji apples, while another used uniform grey-value thresholds across bruise detection tasks without cultivar-specific calibration. When tissue density varies substantially across cultivars, such fixed thresholds produce systematic segmentation errors that propagate into all downstream features. This limitation restricts the applicability of CT-derived quality metrics across genetically diverse germplasm. A second gap concerns the interpretation of CT features across experimental contexts: cultivar classification studies have used CT-derived features to distinguish varieties based on shape or internal structure, but without assessing whether the same features also respond to management variation. Conversely, investigations of crop-load or storage effects have quantified structural changes within a single cultivar without evaluating cross-cultivar generalisability. To the authors’ knowledge, no prior work has profiled the same CT feature set across both a multi-cultivar diversity panel and a controlled management trial within a single framework.

The research team, led by Weiqun Wang of McGill University together with Dario Mengoli, Shangpeng Sun, Luigi Manfrini, and Shirin Ghatrehsamani, designed a dual-batch experiment to disentangle these factors. Batch 1 comprised 36 apple fruit from 12 cultivars (three replicates each) grown under identical conditions at the McGill University Macdonald Campus orchard. The cultivars spanned commercial and heritage germplasm: Altas, Ambrosia, Cortland, Empire, Gala, Ginger Gold, Honey Crisp, Liberty, Lobo, McIntosh, Nova Easygro, and Nova Spy. Because all samples shared the same orchard environment, structural differences among cultivars are attributed to genetic background. Batch 2 comprised 27 Gala fruit from a 3 × 3 factorial design with three crop-load levels (high 92 fruits per tree, standard 46, low 23) and three harvest dates spanning 100 to 134 days after full bloom, with three replicates per treatment combination. Crop-load treatments were applied by manual thinning in early July at 20 to 30 mm fruit diameter. Because genetic background was held constant, structural differences are attributed to management-induced physiological variation. All fruit were stored at 4 °C and 40 percent relative humidity pending scanning.

Volumetric scanning was performed on a Canon Aquilion Prime SP system at 80 kV and 50 mA, yielding 339 µm isotropic voxel resolution. Each 10 to 13 second scan generated approximately 1,200 projection images in DICOM format at 0.5 mm inter-slice thickness. A total of 21 sessions acquired complete volumetric data for all 63 samples. DICOM volumes were reconstructed in Python using NumPy and SciPy. Individual fruit were segmented from background by adaptive intensity thresholding followed by three-dimensional morphological operations. Internal structures including seeds, cavities, skin, flesh, and core were classified via intensity-based detection with spatial topology constraints. Tissue porosity was calibrated by linear regression between two reference standards: Gala apple juice (grey value 49, 0 percent porosity) and external air (grey value −1007, 100 percent porosity), yielding an R² of 0.957. Twenty-five features were extracted per sample in three categories: morphological (total volume, flesh volume, core volume, seed count), density (grey-value statistics across flesh, core, and skin compartments), and porosity (whole-fruit, flesh, and core porosity). All features were z-score normalised, and only features measurable in both batches were retained for cross-batch comparison.

The centrepiece of the study is an adaptive flesh-to-core segmentation method the authors call Smart Threshold. Fixed porosity thresholds fail when tissue density varies across cultivars. To address this, the team developed an approach that generates a radial porosity profile from the equatorial cross-section of each sample and smooths it with a Gaussian filter. The core boundary is placed at the inflection point: the minimum radial porosity plus a 0.7 percent offset. This value was selected based on the typical porosity gradient observed at the seed-cavity transition in preliminary scans of structurally contrasting cultivars, where offsets below 0.5 percent failed to exclude seed-adjacent voxels and offsets above 1.5 percent encroached into flesh tissue. Sensitivity analysis across offsets of 0.3 to 2.0 percent confirmed that cultivar discrimination and classification accuracy were invariant to this parameter, indicating that downstream results are robust to the specific offset chosen. The resulting threshold varied from 10.1 percent in Gala to 22.6 percent in Lobo across the 12 cultivars, compared with a fixed threshold of 20 percent that would produce segmentation errors of up to 77 percent relative deviation in dense-tissue cultivars. Validity was confirmed by morphological consistency with CT cross-sections across all 12 cultivars, with core boundaries aligning to visually identifiable seed-cavity transitions in every case.

Adaptive segmentation revealed substantial variation in internal fruit architecture across the 12 cultivars grown under identical conditions. Flesh content ranged from 59.7 percent in Gala and Nova Spy to 85.7 percent in Lobo, a 26-percentage-point span. Flesh porosity (19.1 to 32.8 percent) and core porosity (9.9 to 19.2 percent) varied independently across cultivars. Flesh percentage correlated positively with flesh porosity, indicating that cultivars allocating more tissue to flesh also develop greater intercellular air space. Three descriptive structural groupings emerged from these profiles. Size-prioritising cultivars such as Lobo and Nova Easygro maximised flesh proportion above 74 percent with moderate core porosity. Architecture-balanced cultivars such as Altas and McIntosh maintained intermediate flesh content around 70 percent with simultaneously high flesh porosity above 30 percent and core porosity above 18 percent, a combination absent in other cultivars. Dense-tissue cultivars such as Gala and Honey Crisp exhibited consistently low flesh porosity below 22 percent and the highest core proportions above 29 percent. These strategies are reflected in the adaptive threshold values: dense-tissue cultivars required thresholds near 11 percent, whereas size-prioritising cultivars required thresholds above 20 percent.

Random Forest classification with leave-one-out cross-validation achieved 72.2 percent internal cross-validation accuracy across 12 cultivars, exceeding the 8.3 percent random baseline. Given only three replicates per cultivar, this internal estimate should not be interpreted as external classification performance. The confusion matrix showed that architecture-balanced cultivars reached above 85 percent per-class accuracy under leave-one-out validation, while structurally similar cultivars within the same descriptive group exhibited higher mutual confusion. Together, these results are consistent with CT features carrying cultivar-associated structural information within this dataset. The adaptive threshold correlated strongly with core porosity (r = 0.990) and moderately with flesh porosity (r = 0.841) across all 63 samples from both batches, consistent with the threshold capturing an anatomically interpretable tissue-density gradient rather than an arbitrary segmentation artefact. Within Batch 2, the adaptive threshold responded significantly to crop-load treatment, with low crop-load fruit exhibiting higher thresholds than high crop-load fruit, demonstrating that the same segmentation parameter that distinguishes cultivars also captures management-induced structural modification within a single cultivar.

Gaussian Mixture Model clustering of the two-dimensional signal space, plotting genetic signal from Random Forest importance against physiological signal from Kruskal-Wallis significance, identified four feature categories. Genetic-dominant features, comprising 32 percent of the set, were dominated by density metrics such as grey-value mean, standard deviation, and flesh and whole-fruit porosity that varied strongly across cultivars but showed minimal crop-load sensitivity. Physiology-dominant features, comprising 28 percent, were dominated by size-related metrics such as total volume, flesh volume, core volume, and centre coordinates responsive to crop-load treatment. Dual-sensitive features, comprising 20 percent, showed elevated signal in both dimensions: Smart Threshold, GV Median, GV Core Mean, Porosity Core, and Skin Volume showed significance in both batches. Four of these five features were highly inter-correlated, indicating that the effective dimensionality of the dual-sensitive signal is lower than the feature count. Noise or weak features, comprising the remaining 20 percent, showed minimal signal in either dimension. The dual-sensitive features all exhibited large effect sizes, with Cohen’s d values ranging from 0.70 to 2.10, and six additional features previously reported as crop-load-responsive were confirmed with comparable effect sizes.

Principal component analysis showed that seven components captured 90 percent and nine components captured 95 percent of cumulative variance, indicating that the 25-feature set contains approximately seven to nine independent dimensions of structural information. The authors frame their findings with appropriate caution. Batch 2 used a single cultivar at one site, so genotype-by-environment interactions could alter which features qualify as dual-sensitive under different cultivar-environment combinations. No quantitative boundary metrics such as Dice coefficients against manual annotation were computed, constituting a methodological gap. The small per-cultivar sample size constrains the precision of cultivar-level estimates and the statistical power of the 12-class classification. The study assessed static structural properties at harvest, and developmental sampling across multiple growth stages combined with gene expression data would clarify the temporal sequence of genetic specification and environmental modification. The dual-sensitive features identified here represent candidate structural markers, not validated quality indicators, and any application to postharvest grading or precision quality assessment remains explicitly conditional until tested against functional quality outcomes such as firmness, mealiness, and storage disorders.

The study is best framed as a methodological framework and a set of candidate features that warrant broader validation across cultivar diversity, growing environments, and functional quality endpoints. Cross-cultivar validation across diverse genetic backgrounds, production regions, and seasons is needed to quantify genotype-by-environment interactions and test the stability of the feature sensitivity patterns reported here. Validation against functional quality parameters such as firmness, sugar content, and storage disorder incidence is required before structural markers can be recommended for postharvest use. The development of non-destructive proxies for dual-sensitive features would enable practical field application without CT infrastructure. The adaptive segmentation framework is conceptually applicable to other pome and stone fruits, though empirical validation in those systems would be necessary. For now, the work demonstrates that cultivar-dependent segmentation thresholds can substantially affect CT-derived structural measurements in apple fruit, and that adaptive segmentation offers a potentially useful strategy for reducing such discrepancies across the 12 cultivars and single site examined here.

Subject of Research: Adaptive X-ray CT segmentation (Smart Threshold) profiles apple fruit internal structure across 12 cultivars and a Gala crop-load trial, identifying dual-sensitive structural features.

Article Title: Cultivar-adaptive X-ray CT tissue segmentation and multi-scale structural feature profiling in apple fruit

Article References: Wang, W., Mengoli, D., Sun, S., Manfrini, L., & Ghatrehsamani, S. (2026). Cultivar-adaptive X-ray CT tissue segmentation and multi-scale structural feature profiling in apple fruit. Smart Agricultural Technology, 15, Article 102624. https://doi.org/10.1016/j.atech.2026.102624

Image Credits: AI Generated

DOI: 10.1016/j.atech.2026.102624

Keywords: apple, X-ray computed tomography, fruit quality, segmentation, machine learning, phenotyping, Cultivar-adaptive, X-ray, tissue, multi-scale, structural, feature

A new four-year field experiment conducted by researchers at the Indian Council of Agricultural Research-Central Citrus Research Institute in Nagpur, Maharashtra, together with collaborators from institutions in India, China, and Iran, offers a compelling alternative. Published in Frontiers in Horticulture, the study demonstrates that dividing an orchard into management zones based on tree canopy volume, and then tailoring irrigation and fertilization to each zone, can dramatically improve both water use efficiency and nutrient use efficiency without sacrificing yield or fruit quality. The work was carried out on Typic Ustochrept soil, an Inceptisol characteristic of the hot subhumid tropical climate of central India, in a four-year-old Nagpur mandarin orchard with trees of Citrus reticulata Blanco budded on rough lemon rootstock, Citrus jambhiri Lush.

The experimental plot consisted of 144 Nagpur mandarin plants spaced 6 meters apart in both directions, representing a planting density of 277 plants per hectare. The clay-textured soil had a pH of 7.4, an electrical conductivity of 0.24 dS per meter, and an organic carbon content of 0.67 percent. All 144 plants were treated as georeferenced points for soil fertility evaluation, with initial plant available nutrients varying considerably across the site. KMnO4-extractable nitrogen ranged from 109.3 to 134.6 milligrams per kilogram, Olsen-P from 7.1 to 11.8, and NH4OAc-extractable potassium from 118.4 to 176.3, while DTPA-extractable micronutrients including iron, manganese, copper, and zinc also displayed notable spatial variation.

Rather than relying on soil properties alone, the researchers used tree canopy volume as the decision support metric for delineating management zones. Using GPS and QGIS Version 3.5 combined tools, they developed a canopy-based variogram with canopy volumes ranging from 1.30 to 9.64 cubic meters and a coefficient of variation of 22.3 to 34.8 percent. The median canopy volume of 4.2 cubic meters served as a stable metric for mapping spatial variability, and three contrastingly different management zones were delineated as a manageable spatial grid. The high production management zone included trees with canopy volume greater than 5 cubic meters, the medium production management zone covered trees between 3 and 5 cubic meters, and the low production management zone included trees below 3 cubic meters.

Based on these zones, three treatment modules were fixed. The high production management zone received 60 percent of the recommended dose of fertilizer combined with 80 percent of the irrigation requirement, the medium production management zone received 80 percent of the recommended fertilizer dose with 90 percent of the irrigation requirement, and the low production management zone received the full 100 percent of both. The recommended fertilizer dose for mature Nagpur mandarin trees was previously established as 600 grams of nitrogen, 200 grams of P2O5, and 300 grams of K2O per tree per year. Irrigation was scheduled through a drip system with 8 liters per hour drippers, three per plant, and fertigation was administered using a venturi-based liquid fertilizer injector. Uniform foliar sprays of 0.50 percent FeSO4, 0.50 percent MnSO4, and 0.50 percent ZnSO4 were applied thrice during each season, beginning at fruit set and repeated at 45-day intervals during fruit development.

The irrigation requirement was computed daily using the Penman-Monteith method for reference crop evapotranspiration, combined with phenological stage-wise crop coefficients derived from the shaded area technique and a wetted area factor representing the proportion of the effective root zone. Over the four-year study, the average reference crop evapotranspiration was 1,925.90 millimeters, with daily values ranging from 2.89 to 9.40 millimeters and peaking in May. During that peak summer month, the irrigation requirement reached 165 liters per day per tree. The total quantities of irrigation applied under the high, medium, and low production zones, each based on 48 plants, were computed as 73.38, 82.55, and 91.72 thousand liters per day respectively, with the crop evapotranspiration varying between 2.53 and 5.59 millimeters per day during the corresponding period.

The results following four annual cycles of treatment were striking. Tree canopy volume reached 8.08, 6.28, and 5.88 cubic meters in the high, medium, and low production management zones respectively, with corresponding fruit yields of 35.53, 28.15, and 24.26 kilograms per tree. Expressed per unit of canopy, these yields translated to 4.39, 4.08, and 4.12 kilograms per cubic meter of canopy, with coefficients of variation of 12.6 to 15.5 percent within zones and 11.8 to 13.1 percent across zones. Most remarkably, water use efficiency in the high production management zone, which received only 80 percent of the irrigation requirement, was 1.83-fold higher than in the low production management zone receiving the full irrigation dose. Nutrient use efficiency was even more dramatic, reaching 2.44-fold higher in the high production zone at 592.14 kilograms per kilogram compared with 242.59 kilograms per kilogram in the low production zone, despite the latter receiving 40 percent more fertilizer.

These efficiency gains did not come at the expense of fruit quality. Juice content varied from 41.2 to 44.8 percent, total soluble solids ranged from 9.3 to 10.5 degrees Brix, and juice acidity spanned 0.57 to 0.85 percent, with coefficients of variation of 10.2 to 14.3 percent. The low production zone showed marginally higher juice content and acidity than the high production zone, while total soluble solids showed no discernible changes between zones, indicating more or less uniform fruit quality development despite the differential input regimes. Fruit size distribution, a critical determinant of market returns for Nagpur mandarin sold as fresh fruit, showed a clear gradient across zones, with the high production management zone registering the maximum proportion of A-grade fruits exceeding 75 millimeters, followed by the medium and low production zones in decreasing order.

Soil fertility responses corroborated the agronomic outcomes. Plant available nitrogen, phosphorus, and potassium in the soil varied from 119.4 to 212.4, 9.5 to 16.2, and 138.7 to 207.5 milligrams per kilogram respectively, with the high production management zone continuing to record significantly higher available macronutrients than the other two zones even after four years of continuous variable treatments. Pearson correlation analysis revealed that plant available nutrients within the high production management zone were highly correlated with fruit yield, with correlation coefficients reaching 0.99 for available nitrogen, 0.94 for available phosphorus, and 0.94 for available potassium, compared with weaker or non-significant relationships within the medium and low production zones. These coefficients of variation for soil nutrients ranged from 10.0 to 17.1 percent, and the gradual decline in variation with each fruiting season suggested that the orchard was progressively transforming into a more homogeneous production grid.

The study provides a conceptual basis for rationalizing input use in citriculture by exploiting spatial variability in soil properties rather than applying blanket recommendations across an entire orchard. By delineating management zones through canopy volume-based variograms and treating each zone as a statistically homogeneous production unit, the researchers demonstrated that variable rate application of irrigation and fertilizers can squeeze field spatial variability to the advantage of orchard productivity. The findings arrive at a moment when climate variability, regulatory nutrient management, water conservation policies, and declining water availability compound the challenges facing irrigated crop production worldwide. For citrus growers, the message is clear: over-optimization of irrigation and fertilizer inputs is not only wasteful but counterproductive, and precision zoning offers a practical pathway toward more sustainable and economical citrus production.

Subject of Research: Variable-rate irrigation and fertilization across canopy-based management zones in a Nagpur mandarin orchard on Indian Inceptisol

Article Title: Rationale behind the integrated use of irrigation and fertilization in optimizing citrus production on Indian Inceptisol

Article References: Srivastava, A. K., Shigure, P. S., Meshram, D. T., Huchche, A. D., Utkhede, A., Priyamvada, M., Wu, Q.-S., Mousavi, S. M., Rymbai, H., Baishya, L. K., & Jagannadham, P. T. K. (2026). Rationale behind the integrated use of irrigation and fertilization in optimizing citrus production on Indian Inceptisol. Frontiers in Horticulture, 5, Article 1941837. https://doi.org/10.3389/fhort.2026.1941837

Image Credits: AI Generated

DOI: 10.3389/fhort.2026.1941837

Keywords: citrus, Nagpur mandarin, irrigation, fertilization, management zones, water use efficiency, nutrient use efficiency, precision agriculture, Inceptisol, drip fertigation, canopy volume, fruit quality

The experiment took place in Jingdong Yi Autonomous County in Yunnan Province, China, a plateau mountain region whose large diurnal temperature swings favor sugar accumulation in ripening fruit. The researchers grew seedlings of the highbush blueberry cultivar ’42’ (Vaccinium corymbosum L.) individually in 30-centimeter pots filled with local acidic red soil amended with pine needles to improve structure and aeration. Fourteen fertilization treatments were established in a completely randomized design: twelve combinations of pig manure and rabbit manure applied at 100, 150, and 200 grams per pot on a fresh-weight basis, one conventional NPK compound fertilizer treatment, and an unfertilized control. Each treatment had ten replicate pots, and at fruit maturity three pots per treatment were destructively sampled, yielding 42 fruit samples and 84 soil samples split between rhizosphere and bulk compartments.

The rhizosphere, defined here as the soil tightly adhering to the root surface within roughly two millimeters, is where root activity, microbial communities, and nutrient transformations converge. Bulk soil, by contrast, represents the homogenized pot medium beyond the root’s immediate influence. By brushing rhizosphere soil from roots and separately collecting bulk soil, the team could ask whether fruit quality responds to different chemical cues in these two microenvironments. Nine fruit-quality indicators were measured with standard analytical methods, including gravimetric moisture content, anthrone colorimetry for total soluble sugars, acid-base titration for titratable acidity, digital refractometry for soluble solids, spectrophotometric chlorophyll determination, the pH differential method for total anthocyanins, Folin-Ciocalteu assays for total phenolics, colorimetric flavonoid quantification, and HPLC profiling of the anthocyanidin spectrum. Soil analyses covered organic carbon, pH, available potassium and phosphorus, ammonium and nitrate nitrogen, and moisture.

The first striking result was that not all quality traits respond equally to fertilization. Fruit moisture, total flavonoids, total phenolics, and total soluble sugars showed no statistically significant differences across treatments, remaining remarkably stable. In contrast, anthocyanin content, titratable acidity, soluble solids, and chlorophyll all varied significantly, with the highest anthocyanin values appearing in treatments L9 and L3. Derived composite indices told a nuanced story: the sugar-to-acid ratio, a key driver of blueberry taste, peaked in treatments L14, L12, and L10, while the anthocyanin-to-phenolics ratio, an indicator of antioxidant potential, was highest in L5 and L7. Correlation analysis revealed moderate interdependence among traits, with flavonoids and phenolics positively correlated at r = 0.53 and soluble solids tracking total sugars at r = 0.48, while moisture content correlated negatively with everything else.

To convert this multidimensional trait space into a single verdict, the researchers built an integrated analytical pipeline that is arguably the study’s most innovative contribution. A random forest classifier treated fruit-quality indicators as predictors of fertilization treatment, and SHAP (SHapley Additive exPlanations) analysis, bootstrapped over 1,000 resamples, assigned each indicator a robust importance weight. These normalized mean absolute SHAP values then served as weights in a TOPSIS multi-criteria evaluation, a technique borrowed from operations research that ranks alternatives by their distance to ideal and anti-ideal solutions. Anthocyanin content emerged as the single most influential trait with a weight of 0.179, followed by titratable acidity at 0.146, soluble solids at 0.119, and total chlorophyll at 0.112. The resulting comprehensive scores crowned treatment L3, pig manure alone at the highest application rate, as the overall winner, with a median score of 0.68 and a tightly concentrated distribution signaling both superiority and stability. L9, combining 200 grams of pig manure with compound fertilizer, and L12, pairing rabbit manure with compound fertilizer, took second and third place.

The pattern behind the podium is unambiguous: all three top-ranked treatments received the highest organic input level of 200 grams per pot. The authors attribute this to blueberry physiology. With a shallow root system and limited nutrient uptake capacity, the crop performs best in soils with high organic matter, and the acidic red soil used in the experiment is inherently low in fertility and poorly structured. Under such conditions, modest organic inputs may simply be insufficient to shift soil conditions meaningfully, and the background pine needle amendment alone proved inadequate at low fertilizer levels. Higher organic matter inputs plausibly improve aggregation and water-holding capacity, though the researchers are careful to note that aggregate stability and organic matter fractions were not directly measured, making this an informed interpretation rather than a confirmed mechanism.

The machine learning analysis then turned to the soil side of the equation, fitting separate random forest regression models for rhizosphere and bulk soils with the TOPSIS score as the response. The spatial heterogeneity that emerged is the study’s conceptual centerpiece. In the rhizosphere, soil pH ranked first in SHAP importance, followed by moisture and inorganic nitrogen indicators, meaning that root-zone acidity and water status dominated fruit-quality variation. SHAP dependence curves revealed a nonlinear pH response with a transition region around 4.3 to 4.4, a model-derived change zone rather than a strict ecological threshold, hinting that even an acid-loving crop suffers when soils become too acidic for root activity and nutrient uptake. In bulk soil, by contrast, nitrate nitrogen took the top importance slot, followed by available phosphorus, moisture, available potassium, organic carbon, ammonium, and pH, with basic environmental factors and nutrient availability contributing nearly equal shares of total importance at 36.3 and 35.8 percent respectively.

The nitrate finding carries a practical warning. Blueberries are classic ammonium-preferring plants with limited nitrate reductase activity, giving them a weak capacity to utilize nitrate. The SHAP analysis showed that moderate nitrate levels contributed positively to predicted fruit quality, but at higher concentrations of roughly 38 to 40 milligrams per kilogram the contributions turned consistently negative. Excessive nitrate accumulation in bulk soil may reflect nitrogen imbalance in the root zone, elevated electrical conductivity in the soil solution, impaired water uptake, and disrupted availability of other anions such as chloride and phosphate. In other words, more nitrogen is not better nitrogen, and the form and dose of inorganic nitrogen emerging from organic manure mineralization matter as much as the total supply.

Structural equation modeling added a third layer of evidence, sketching statistical pathways linking bulk soil conditions, rhizosphere properties, and fruit quality. Bulk soil nitrate showed positive associations with rhizosphere ammonium but negative associations with rhizosphere moisture and fruit quality, while bulk soil pH tended to increase rhizosphere moisture, which in turn showed a positive tendency toward fruit quality. The model explained 19 percent of the variation in rhizosphere moisture and 16 percent of comprehensive fruit quality, and because most individual paths were not statistically significant, the authors frame these as exploratory associations rather than causal proof. Still, the overall picture is coherent: fruit quality is associated with coordinated variation in nutrient status, moisture, and nitrogen form across soil compartments, not with any single dominant factor, and the winning L3 treatment likely succeeded by balancing improved soil conditions against excessive nitrogen accumulation.

The study’s limitations are candidly acknowledged. It was a single-season pot experiment, which controls environmental noise but limits extrapolation to field conditions where root growth, hydrology, and nutrient cycling are far more complex. Microbial indicators, soil electrical conductivity, and detailed amendment characterization were not measured, and the pine needle background treatment was held uniform rather than tested as a factor. Future work will need multi-season field trials with microbial, physiological, and soil chemical measurements to validate the associations. Even so, the implications for growers are tangible. In acidic, low-fertility red soils, generous organic inputs, with pig manure at 200 grams per pot standing out, appear to deliver measurably better fruit, provided that rhizosphere pH and moisture stay in the favorable range and nitrate is not allowed to pile up. By fusing multi-trait evaluation, interpretable machine learning, and path modeling, the study offers a template for how agriculture can move beyond single-indicator trials toward genuinely data-driven soil management, turning the invisible geography of the rhizosphere into actionable fertilizer strategy.

Subject of Research: Effects of organic fertilizer ratios on blueberry fruit quality mediated by rhizosphere and bulk soil properties, analyzed with interpretable machine learning

Article Title: Soil-driven mechanisms of organic fertilizer ratios regulating blueberry fruit quality: A comprehensive evaluation based on interpretable machine learning

Article References: Lei, K., Chen, R., Li, C., & Yang, H. (2026). Soil-driven mechanisms of organic fertilizer ratios regulating blueberry fruit quality: A comprehensive evaluation based on interpretable machine learning. Plant and Soil. https://doi.org/10.1007/s11104-026-08913-w

Image Credits: AI Generated

DOI: 10.1007/s11104-026-08913-w

Keywords: blueberries, organic fertilization, fruit quality, rhizosphere, soil pH, nitrate nitrogen, anthocyanins, random forest, SHAP, TOPSIS, structural equation modeling, soil organic matter

The research addresses a pressing challenge in modern horticulture. High-density orchards, which pack dwarfing rootstocks and slender trees into tight rows to maximize early returns, demand intensive inputs of fertilizers and agrochemicals. Input costs have been climbing steadily, while environmental scrutiny of conventional chemical programs has intensified. Growers and scientists alike have been searching for eco-friendly alternatives that can sustain productivity without compromising fruit quality or soil health. Plant biostimulants, substances that modulate plant growth and stress responses rather than simply feeding crops, have emerged as one of the most promising candidates, and weed-derived formulations are an especially attractive class because their raw material is abundant, cheap and otherwise destined for disposal.

What makes weeds chemically interesting, the authors note, is their diverse arsenal of bioactive secondary metabolites. Plants that thrive in harsh, competitive environments often accumulate phenolics, alkaloids, terpenoids and other compounds that, when extracted and applied to crops, can influence hormone signaling, nutrient uptake and stress tolerance. Rather than treating these formulations as a generic tonic, the Indian team hypothesized that timing matters enormously. A tree’s needs shift dramatically across its phenological calendar, from budbreak and flowering through fruit set, cell expansion and ripening, so a spray that helps at one stage may be irrelevant or wasteful at another. Their experiment was designed to test whether matching applications to nine distinct phenological stages would unlock the full potential of the bio-formulations.

The field trials were conducted during 2024 and 2025 at two contrasting orchard sites in the apple-growing hills of Himachal Pradesh. One site, at Nauni, used trees on the dwarfing EMLA9 rootstock, while the other, at Kandaghat, used trees on the more vigorous MM111 rootstock. Both orchards were managed under high-density systems, the very conditions where input costs and tree stress tend to be most acute. The researchers employed a split-plot design with four replications, a statistically robust layout that allowed them to separate treatment effects from site and block variation. Five treatments were compared, each consisting of a different combination of stage-specific bio-formulation applications, alongside a control that received only water sprays.

The standout treatment, designated T1, involved sequential applications of the bio-formulations across all nine phenological stages, effectively accompanying the tree through its entire productive cycle. The results were striking. Fruit set rose from 38.56 percent in the control trees to 44.67 percent in the T1 trees, a meaningful gain in a crop where every percentage point of set translates directly into marketable fruit. More dramatically, yield per tree climbed from 2.81 kilograms to 4.83 kilograms, an increase of roughly 72 percent. For high-density growers calculating returns per hectare, a jump of that magnitude, achieved without synthetic agrochemical inputs, represents a potentially transformative economics shift.

Fruit quality, the attribute that ultimately determines price and consumer acceptance, improved alongside quantity. Apples from treated trees were measurably firmer, registering 7.67 kilograms per square centimeter of flesh resistance compared with 6.58 in controls, a difference that matters for shelf life, transport tolerance and the crisp bite that ‘Gala’ consumers expect. Total soluble solids, the standard proxy for sweetness measured in degrees Brix, rose from 10.83 to 12.44, while total sugar content increased from 9.91 percent to 11.19 percent. Taken together, these figures describe fruit that is not only more abundant but also sweeter, firmer and better suited to the demands of long-distance supply chains.

Beneath the visible improvements in the fruit, the leaf analysis revealed a physiological mechanism at work. Concentrations of the three primary macronutrients in the foliage all rose significantly relative to the control: nitrogen increased by 29.2 percent, phosphorus by 50.0 percent and potassium by 18.6 percent. Phosphorus, often the most limiting nutrient in hill soils, plays central roles in energy transfer and flowering, while potassium governs fruit size, sugar accumulation and firmness. The pattern of nutrient enhancement aligns neatly with the observed gains in fruit set, sweetness and texture, suggesting that the bio-formulations improved the trees’ ability to acquire and mobilize nutrients rather than merely stimulating growth at the expense of quality.

To test whether these improvements were statistically coherent rather than a collection of coincidental effects, the team applied two complementary analytical tools. Pearson’s correlation analysis revealed significant positive associations among vegetative growth, nutrient status, yield and fruit quality traits, indicating that the treatments lifted the entire performance profile of the trees in concert. Principal component analysis then condensed the many measured variables into a few underlying dimensions, and the results were unusually clean: the first two components together explained 97.57 percent of the total variation, with the first component alone accounting for 68.96 percent. When a small number of components capture nearly all the variation in an experiment, it signals that the treatments produced a strong, systematic biological response rather than scattered, noise-driven differences.

The implications extend well beyond one cultivar and one growing season. Because the formulations are derived from weeds, they offer a circular-economy twist: plants that compete with crops for water and nutrients can be harvested, processed and returned to the orchard as a growth-enhancing spray. That could reduce both the labor of weed management and the expenditure on synthetic inputs, a double saving for smallholder growers in the Himalayan apple belt who face some of the steepest production costs in the industry. The phenology-based protocol also gives growers a practical scheduling framework, since the nine application stages correspond to observable milestones such as budbreak, bloom and fruit development that are already part of standard orchard record-keeping.

Cautions remain before the practice can be widely recommended. The study covered two seasons at two sites on a single cultivar, and the published version is an early-release, peer-reviewed accepted manuscript that will be replaced by a final Version of Record. Follow-up work will need to establish how the formulations perform across different rootstocks, climates and cultivars, and to characterize the active compounds responsible for the effects. Nevertheless, the core result stands on firm statistical ground: timed applications of weed-derived bio-formulations increased fruit set, boosted yield by more than 70 percent, improved firmness and sweetness, and elevated leaf nitrogen, phosphorus and potassium in high-density ‘Gala Schniga Schnico’ apple orchards. If those gains hold at scale, the humble weeds at the edge of the orchard may become one of its most valuable assets.

Subject of Research: Phenology-based application of weed-derived plant biostimulants in high-density apple orchards

Article Title: Phenology-based application of weed-derived bio-formulations enhances growth, yield, fruit quality and leaf nutrient status of ‘Gala Schniga Schnico’ apple under high-density orchard systems

Article References: Kumar, P., Ladon, T., Sharma, A., Devi, M., Vikram, A. K., Chauhan, J. K., & Rana, R. K. (2026). Phenology-based application of weed-derived bio-formulations enhances growth, yield, fruit quality and leaf nutrient status of ‘Gala Schniga Schnico’ apple under high-density orchard systems. BMC Plant Biology. https://doi.org/10.1186/s12870-026-09504-8

Image Credits: AI Generated

DOI: 10.1186/s12870-026-09504-8

Keywords: weed-derived bio-formulations, plant biostimulants, phenology, apple production, high-density orchards, fruit quality, fruit set, leaf nutrient status, sustainable horticulture, Gala apple, foliar application, BMC Plant Biology

The experiment took place during the 2023–2024 growing season at the Horticulture Research Centre in Pantnagar, Uttarakhand, a region renowned for producing some of India’s finest mangoes. Researchers from Govind Ballabh Pant University of Agriculture and Technology, working with collaborators in India, China, and Saudi Arabia, set up a randomized block design with three replications to test ten distinct fertilization strategies. These ranged from the full 100 percent recommended fertilizer dose down to just 25 percent, each either applied alone or combined with soil-applied micronutrients, one foliar spray, or two foliar sprays of micronutrients. The goal was to determine whether the standard full-dose prescription is actually the best recipe for both the soil and the fruit.

What makes this study technically significant is the breadth of measurements taken. The team did not simply weigh fruit and call it a day. They assessed soil chemical properties, enumerated microbial populations, measured the activities of key soil enzymes, quantified the density of arbuscular mycorrhizal fungi spores, and tracked nutrient levels in both leaves and fruit. On the quality side, they analyzed total soluble solids, individual sugars, ascorbic acid, carotenoids, flavonoids, total phenols, antioxidant activity, and shelf life. This comprehensive dataset allowed them to move beyond simple treatment comparisons and probe the actual mechanisms connecting soil health to fruit chemistry.

The standout treatments were T8, which combined 75 percent of the recommended fertilizer dose with two foliar micronutrient sprays, and T9, which paired just 50 percent of the recommended dose with the same double spray regimen. Both consistently outperformed the conventional 100 percent fertilizer treatment across nearly every metric the researchers tracked. In other words, cutting synthetic fertilizer inputs by a quarter to a half did not starve the trees—it appeared to unlock a more productive collaboration between the orchard’s soil microbes and the plants themselves.

The soil biology data tell a compelling story. Under the reduced-dose-plus-spray treatments, researchers recorded higher spore densities of arbuscular mycorrhizal fungi, the symbiotic fungi that colonize plant roots and extend their nutrient-gathering reach deep into the soil matrix. Bacterial populations also increased, as did the activities of soil enzymes, which serve as sensitive indicators of microbial community function and nutrient cycling capacity. Reduced fertilizer application likely eased the osmotic and chemical stress that high synthetic inputs can impose on soil organisms, allowing these biological partners to flourish and, in turn, supply the trees with a steadier, more diversified nutrient stream.

Those underground gains translated directly into fruit quality. The best treatments pushed total soluble solids to 20.78 degrees Brix, a measure of sugar concentration that mango buyers and processors watch closely. Alongside the elevated sweetness, the fruit accumulated higher levels of sugars, ascorbic acid, carotenoids, flavonoids, and total phenols, and showed greater antioxidant activity and longer shelf life. For consumers, that means a sweeter, more aromatic mango with a richer payload of health-promoting compounds. For growers and supply chains, extended shelf life carries real economic weight, reducing post-harvest losses in a crop that is notoriously perishable.

The study’s multivariate analyses added statistical muscle to these observations. Principal component analysis and redundancy analysis revealed clear positive associations among soil biological properties, nutrient availability, plant nutrient status, and fruit quality, while correlation and regression analyses traced the same pattern across individual variables. This coherence matters because it suggests the improvements were not isolated flukes but part of a linked chain: healthier soil biology supports better nutrient availability, which lifts the nutritional status of the leaves, which ultimately feeds the biochemical machinery that builds flavor, color, and antioxidants in the developing fruit.

Not every result was uniform, and the authors are careful to note the nuances. Soil organic carbon and several micronutrient responses varied across treatments, with some of the highest values appearing under a different treatment, T5, rather than the two star performers. Soil pH shifts, while statistically significant, were relatively small in magnitude. These details underscore a broader point about orchard management: soil systems are complex, and responses to nutrient inputs are rarely linear. What the data do support is a clear conclusion that within the conditions of this study, applying 50 to 75 percent of the recommended fertilizer dose with two foliar micronutrient sprays improved soil biological functioning, nutrient availability, plant nutrient status, and fruit quality compared with the conventional full dose.

The practical implications extend well beyond a single mango orchard in Uttarakhand. Fertilizer represents one of the largest recurring costs in fruit production, and its overuse carries well-documented environmental consequences, including nutrient runoff, groundwater contamination, and greenhouse gas emissions. If half the recommended dose can deliver superior fruit while rebuilding the soil’s biological engine, the economics and the ecology of mango farming both shift favorably. The findings also align with a growing global interest in integrated nutrient management, an approach that blends reduced synthetic inputs with organic amendments and biological interventions to sustain productivity over the long term.

There are, of course, caveats to keep in mind. The study covers one season, one variety, and one planting system, and the authors note that their findings apply specifically to medium-density tropical mango production under the conditions they tested. The work is part of a broader research framework, with companion preprints examining nutrient dynamics, yield responses, and economic modeling of the same experimental field. Still, the central message is striking enough to resonate far beyond the research community: sometimes the path to better fruit runs not through more inputs, but through letting the soil’s own living machinery do more of the work. For the world’s mango producers, that is a recipe worth testing in their own orchards.

Subject of Research: Integrated nutrient management effects on soil biology and fruit quality in mango orchards

Article Title: Integrated nutrient management, soil biological functions, and their linkages with fruit quality in mango (Mangifera indica L.) under medium-density planting

Article References: Kuldeep, Singh, A. K., Singh, O., Shivran, J. S., Mani, G., Divya, Gaurav, K., Gangola, S., Kumar, P., Manzoor, M. A., Khan, F., & Perveen, K. (2026). Integrated nutrient management, soil biological functions, and their linkages with fruit quality in mango (Mangifera indica L.) under medium-density planting. BMC Plant Biology. https://doi.org/10.1186/s12870-026-09991-9

Image Credits: AI Generated

DOI: 10.1186/s12870-026-09991-9

Keywords: integrated nutrient management, mango, Dashehari, soil microbiology, arbuscular mycorrhizal fungi, soil enzymes, foliar micronutrients, fruit quality, fertilizer reduction, antioxidants, sustainable agriculture, orchard management

The research team, led by Parvin Sharayei and colleagues at the Agricultural Engineering Research Institute in Iran, surveyed 23 orchards, 23 wholesale traders, 14 cold storage facilities, 49 retail fruit shops, and 64 households during the July to September harvest season. At the orchard stage, the researchers went beyond interviews and actually weighed harvested lots on calibrated digital platform scales, separating fruit with visible defects such as bruising, decay, pest damage, and cracking from marketable produce. At later stages, where rapid product turnover made direct weighing impractical, they relied on structured interviews and standardized observational assessments, converting all observations into percentage-based indicators so that stages could be compared on equal footing.

The headline numbers reveal a consistent and striking pattern. Physical losses were modest at every stage: 4.54 percent at orchards, 2.49 percent at the wholesale stage, 2.70 percent in cold storage, 3.35 percent at retail, and just 1.77 percent in households. Economic value decline, however, was higher than physical loss at every stage where it could be measured, reaching 7.85 percent at the orchard, 4.23 percent at wholesale, 3.70 percent during storage, and 4.60 percent at retail. In other words, fruit was losing commercial value faster than it was physically disappearing, a distinction that conventional food loss assessments, which typically count only discarded mass, systematically miss.

The study defines the two measures carefully. Physical loss is the proportion of fruit that becomes non-marketable and is removed from the supply because of bruising, decay, pest damage, or cracking. Economic value decline is the relative reduction in the commercial value of fruit that remains present but has been downgraded, whether through visual defects, softening, physiological disorders, or price markdowns. At each stage, the researchers compared the prevailing price of marketable fruit with the actual price achieved after deterioration. This operational distinction matters because a peach does not need to be thrown away to cost someone money. A soft spot, a skin blemish, or a loss of firmness can push fruit into a lower price grade while it still sits in the crate.

Statistical analysis reinforced the point. At the wholesale stage, linear regression showed a weak association between physical loss and value decline, with physical loss explaining only about nine percent of the variation in economic devaluation. At retail, the relationship was similarly weak, with an R-squared of just 0.16. The magnitude of physical loss simply did not predict how much commercial value was being destroyed. This echoes findings from Spanish persimmon production, where economic depreciation of 38.5 percent of commercialized volume exceeded physical mass loss of 29.5 percent, suggesting that the gap between what is discarded and what is devalued may be a general feature of fresh fruit supply chains rather than a quirk of peaches.

To identify which factors mattered most at each stage, the team applied TOPSIS, the Technique for Order Preference by Similarity to Ideal Solution, a multi-criteria decision-making method that ranks factors by their distance from ideal and worst-case solutions. Stakeholders at each stage rated candidate determinants on a five-point importance scale, and the researchers weighted respondents using attributes such as education, experience, and operational capacity, with orchard weights proportional to production volume. The result was a stage-specific priority ranking of loss drivers, grounded in the practical knowledge of the people who actually handle the fruit.

The rankings tell a coherent story about where the supply chain leaks value. At the orchard stage, water stress emerged as the highest-ranked factor with a priority score of 52.2 percent, followed closely by the absence of pre-cooling systems, which 73.9 percent of surveyed orchards lacked. Without rapid removal of field heat, harvested fruit continues respiring at elevated temperatures, accelerating ethylene production, moisture loss, tissue softening, and senescence. At the wholesale stage, inappropriate harvest timing ranked first at 63 percent, followed by cold chain disruption at 58 percent and harvest-to-market shipment delays at roughly 55 percent. In cold storage, where temperatures were appropriately held between 0 and 1 degrees Celsius but humidity ran slightly below the recommended 90 to 95 percent, the single most influential factor, scoring a perfect 100 percent, was low inbound fruit quality, evidence that storage losses often originate upstream rather than in the storage facility itself.

Retail and household results shifted the focus toward economics and behavior. At retail, where every shop relied on ambient storage with no cooling, high fruit prices received the highest TOPSIS priority score, plausibly because expensive fruit sells more slowly, sits longer on display, and deteriorates further under warm conditions. Failure to sell fruit on time and inadequate cooling ranked second and third. At the household level, where average waste was a remarkably low 1.77 percent, the dominant perceived drivers were low-quality fruit at purchase, buying beyond actual consumption needs, and insufficient personal concern about food waste. Nearly 97 percent of consumers refrigerated their fruit, and average storage lasted 6.8 days, suggesting that Iranian households in the study region were already handling peaches and nectarines relatively carefully.

The authors are appropriately cautious about generalizing. The study was designed as a descriptive, stage-based assessment rather than a probability survey, so the figures represent estimates for the surveyed actors rather than statistically representative values for the entire province. The stage-specific percentages cannot simply be added together into a single supply chain total, because the same fruit batches were not tracked longitudinally from orchard to table. The algebraic sum of the stage averages, 14.90 percent, is reported only as a descriptive indicator. Still, when set against regional production of roughly 9,590 tonnes of peaches and nectarines and a population of 7.1 million, the numbers hint at the scale of value quietly leaking out of the system, equivalent to a descriptive estimate of about 14 kilograms of fruit per capita across the assessed stages.

The practical implications are refreshingly concrete. Growers could benefit from improved irrigation management, better harvest scheduling, effective pest and disease control, and access to pre-cooling facilities. Wholesale distributors would gain from minimizing delays between harvest and market and maintaining cold chain continuity. Storage operators should focus on assessing fruit quality at intake, respecting recommended storage durations, and using packaging that cushions and ventilates. Retailers need cooling infrastructure, careful handling, and pricing strategies that encourage timely turnover rather than slow-moving premium displays. Because the dominant loss factors differ from stage to stage, the authors argue, interventions tailored to each node of the chain will accomplish far more than any one-size-fits-all waste reduction campaign. And perhaps most importantly, anyone measuring food loss should look beyond the bin: the truest accounting of waste in perishable fruit includes every discount, downgrade, and devaluation that happens long before anything is thrown away.

Subject of Research: Postharvest physical loss and economic value decline in peach and nectarine supply chains

Article Title: Physical loss/waste vs. value decline in peaches and nectarines: A multi-stage empirical and TOPSIS based assessment

Article References: Sharayei, P., Einafshar, S., Sabeghi, Y., Azarpazhooh, E., Gandomzadeh, D., & Hassan, H. F. (2026). Physical loss/waste vs. value decline in peaches and nectarines: A multi-stage empirical and TOPSIS based assessment. Journal of Agriculture and Food Research, 31, Article 103338. https://doi.org/10.1016/j.jafr.2026.103338

Image Credits: AI Generated

DOI: 10.1016/j.jafr.2026.103338

Keywords: peaches, nectarines, postharvest losses, food waste, economic value decline, supply chain, TOPSIS, cold chain, Iran, Razavi Khorasan, fruit quality, pre-cooling

Researchers loaded gibberellic acid into biodegradable polymeric nanoparticles and applied the formulation to grapevines in field trials. Compared with conventional applications of the free hormone, the nanoparticle treatment increased grape cluster weight by 104 percent and cluster length by 67 percent. At the level of individual berries, the gains were more modest but still meaningful: berry weight rose by 15 percent, berry length by 4 percent, and berry width by 13 percent. In an industry where cluster size and berry uniformity translate directly into market value, improvements of this magnitude are far from trivial.

The logic behind the approach draws on one of the most active frontiers in agricultural science: controlled-release delivery systems. Nanocarriers, typically built from biodegradable polymers, act as microscopic protective shells that encapsulate active ingredients and release them gradually as the polymer matrix breaks down. This serves two purposes at once. First, it shields sensitive molecules like gibberellic acid from the environmental stressors, principally ultraviolet radiation and elevated temperatures, that would otherwise destroy them. Second, it extends the window of biological activity, so the plant receives a steadier supply of the hormone rather than a single pulse that fades within hours.

As the study’s authors put it, nanocarrier systems ensure more efficient delivery of active substances such as plant growth regulators compared with traditional products. That efficiency matters for reasons that go beyond yield. When a large fraction of an applied agrochemical degrades or drifts before it can act, growers must compensate by applying more, which raises costs and increases the chemical load entering soil and waterways. A delivery system that keeps more of the active ingredient biologically available for longer allows lower doses to achieve the same or better agronomic outcomes, a central goal of sustainable intensification in farming.

Gibberellic acid itself has a storied history in crop science. Identified in the mid-twentieth century as the compound behind the so-called foolish seedling disease of rice, in which infected plants grow abnormally tall, the gibberellin family of hormones was quickly harnessed for agriculture. Today, manufactured gibberellic acid is used worldwide to enlarge grapes, particularly seedless table varieties, to promote malting in barley, to trigger flowering in some crops, and to improve fruit set under unfavorable conditions. In viticulture, its ability to loosen and elongate grape clusters also has a practical side: less densely packed clusters dry faster after rain and are less prone to fungal rot.

What makes the new findings notable is that they were demonstrated under real field conditions rather than in the greenhouse or laboratory, where nano-delivery research often stalls. Translating laboratory formulations into agronomic practice is notoriously difficult. Field environments expose nanoparticles to rain, wind, temperature swings, and microbial communities that can alter their stability and release behavior. Demonstrating that a biodegradable nanocarrier can outperform the conventional formulation in a working vineyard is therefore a significant step toward practical adoption, and it provides a template that could be adapted to other plant growth regulators and crop systems.

The choice of a biodegradable polymer carrier is also significant for the environmental calculus. Unlike some engineered nanomaterials that raise questions about persistence and accumulation in soils, biodegradable polymers are designed to break down into naturally occurring degradation products, limiting long-term residue concerns. This aligns with the broader push in agricultural technology toward materials that perform their function and then disappear. If nano-encapsulation allows growers to use less active ingredient per hectare while achieving larger yield responses, the combined effect could be a genuine reduction in the chemical footprint of high-value horticulture.

The reported effects on berry dimensions and cluster architecture hint at the underlying physiology. Gibberellins promote cell elongation and division, and in grapes this manifests as larger berries and elongated clusters. By maintaining a sustained presence of the hormone at the plant surface and in the vascular system, the nanoparticle formulation appears to have amplified these developmental programs beyond what a single conventional spray can achieve. The study’s authors also report enhancements related to pedicel strength, the structural connection between berry and stem, which influences how well fruit holds on the vine through harvest, an attribute with direct implications for handling and shelf life.

For the grape industry, the implications are immediate and tangible. Table grapes compete in global markets on appearance, size, and uniformity, and growers invest heavily in plant growth regulator programs to meet exacting retail standards. A delivery technology that more than doubles the cluster weight response of the same active ingredient could reshape those programs, reducing both input costs and the number of applications needed through a season. Wine grape production, where cluster compactness and berry size are managed more delicately, could also benefit from the precision that controlled-release systems offer, allowing targeted interventions without the overshoot that conventional sprays sometimes produce.

More broadly, the study adds to a growing body of evidence that nanotechnology, often associated with electronics and medicine, has a serious role to play in feeding a changing world. Encapsulation platforms are being explored for fertilizers that release nutrients on demand, for pesticides that target pests with less collateral exposure, and for the delivery of biologicals such as beneficial microbes and RNA-based crop protection agents. The present work, published with the article title Polymeric Nano-Delivery of Gibberellic Acid Enhances Fruit Quality, Yield, and Pedicel Strength in Grapevine (Vitis vinifera L.), stands out because it pairs a fully biodegradable carrier with a natural plant hormone and validates the combination in the field. As the authors suggest, nanocarrier systems represent a promising and environmentally friendly route to sustainable agricultural production, and if subsequent studies replicate these yield gains across seasons, regions, and crops, the humble nanoparticle may soon become as standard a tool in the orchard and vineyard as the sprayer itself.

Subject of Research: Biodegradable polymeric nanoparticle delivery of gibberellic acid to improve grapevine yield and quality

Article Title: Biodegradable nanoparticle–technology may improve agricultural production

Article References: Biodegradable nanoparticle–technology may improve agricultural production. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: gibberellic acid, nanoparticles, biodegradable polymers, grapevine, plant growth regulators, sustainable agriculture, nano-delivery, crop yield, fruit quality, Vitis vinifera, agricultural nanotechnology, Biodegradable

The research team, led by Rahul Dev of ICAR-NBPGR together with colleagues from ICAR-CSSRI and ICAR-CAZRI, conducted field surveys during February and March 2019 across five talukas of arid Kachchh: Bhuj, Mandvi, Nakhatrana, Bhachau and Rapar. The collection zone stretched across roughly 170 kilometres, mapping the Central and Western Kachchh ber-growing belt, with geographic extremes running from 23.0347 to 23.6881 degrees north latitude and 69.2051 to 70.7156 degrees east longitude. Bhuj taluka contributed the largest share of accessions with 17 samples, followed by Nakhatrana with 8, Mandvi with 4 and Abdasa with a single accession. Each collection was geo-referenced, and passport data on site conditions, associated vegetation and conservation status were recorded in the field.

The Indian jujube, Ziziphus mauritiana, is an evergreen tree of the Rhamnaceae family cultivated for thousands of years across the Indo-Pak subcontinent and much of Asia and Africa. The genus Ziziphus encompasses roughly 50 to 170 species, though only a handful, notably Z. mauritiana, Z. jujuba and Z. nummularia, are grown for their edible drupes. Ber earns its nickname, the poor man’s apple, from its dense nutritional profile: the fruits are rich in carbohydrates, sugars, dietary fibre, vitamins C and A, and minerals such as calcium and phosphorus, while also containing appreciable phenolic compounds, flavonoids and other antioxidants. Its deep taproot and ability to dormant during drought allow the tree to endure scorching temperatures and saline or alkaline soils, making it a staple of arid agriculture in Rajasthan, Gujarat and beyond.

To capture the full phenotypic breadth of the Kachchh germplasm, the researchers measured seventeen morphological and quality traits on each accession, spanning plant height, canopy spread, branch number, stem girth, leaf area, fruit dimensions, fruit weight and total soluble solids. Fruit measurements were taken with digital calipers accurate to 0.01 millimetres, and derived morphometric indices, including a Fruit Size Index calculated as length multiplied by width, a Shape Index of length divided by width, and roundness ratios, quantified fruit geometry. Canopy volume was estimated using the contour method, treating each crown as a geometric solid, while approximate fruit volume and surface area were computed from ellipsoidal formulas. The team then applied principal component analysis, hierarchical clustering with Ward’s minimum variance algorithm and Pearson correlation analysis, using Python-based tools including scikit-learn, SciPy, Matplotlib and Seaborn.

The descriptive statistics alone tell a striking story of phenotypic dispersion. Plant height ranged from 144 centimetres in the compact Ber_Bhuj_1 to 455 centimetres in the towering Ber_Bhuj_30, with a coefficient of variation of 30.36 percent. Canopy volume proved the most variable vegetative trait of all, spanning 0.58 to 8.34 cubic metres with a coefficient of variation of 66.24 percent. Primary branch counts diverged from just 2 to as many as 20 per plant, and leaf area ranged from 1.38 to 9.76 square centimetres, signalling highly diverse photosynthetic capacity across the population. Ber_Abda_20 displayed the widest horizontal footprint, while Ber_Bhuj_30 dominated in height and canopy volume.

Fruit traits revealed equally compelling variation, though with a different structure. Mean fruit length was 10.67 millimetres, ranging from 8.29 to 13.05 millimetres, and mean width was 11.27 millimetres, with both dimensions showing moderate variability of around 10 percent. Weight and volume parameters varied more dramatically: five-fruit weight spanned 1.54 to 7.48 grams, fruit volume ranged from 353.20 to 1332.10 cubic millimetres, and test weight ranged from 308 to 1496 grams, all with coefficients of variation between 29 and 32 percent. Ber_Abda_20 consistently topped every weight and volume parameter. Most striking of all was total soluble solids, the key biochemical marker of sweetness, which ranged from a modest 3.40 degrees Brix to an exceptional 17.50 degrees Brix, a coefficient of variation of nearly 38 percent, with the highest sugar accumulation recorded in accession Ber_Bhuj_21. Fruit roundness, surface area and shape index, by contrast, emerged as the most stable traits across the population.

The multivariate statistics distilled this complexity into an elegant framework. Principal component analysis compressed the seventeen traits into four components with eigenvalues above 1, together explaining 85.55 percent of total variance. The first component alone accounted for 50.14 percent and was heavily loaded with fruit dimensions, five-fruit weight, size index, fruit volume, surface area, test weight and total soluble solids, effectively isolating the high-yielding, high-sugar genotypes Ber_Abda_20 and Ber_Bhuj_30. The second component, explaining 20.50 percent, mathematically contrasted vegetative vigour, captured by plant height, canopy spread, stem girth and branch count, against fruit shape characteristics, cleanly separating large vegetative trees from compact, fruit-dominant plants. The third and fourth components, contributing 8.62 and 6.29 percent respectively, were tied to fruit symmetry parameters and to leaf area and stem girth modifications.

Hierarchical clustering then sorted the 30 accessions into four distinct phenotypic groups. Cluster 1 contained five high-vigour, large-fruited accessions including Ber_Bhuj_21, Ber_Nakh_22, Ber_Bhuj_24, Ber_Bhuj_29 and Ber_Bhuj_30, characterised by tall plants, broad canopies and large fruits. Cluster 2 was a unique single-accession group containing only Ber_Abda_20, an ideotype combining moderate vegetative vigour with exceptionally large fruits and maximum sugar content. Cluster 3 comprised eight compact accessions such as Ber_Bhuj_1 and Ber_Bhuj_2, defined by low vigour and small, round fruits, while the remaining 16 intermediate accessions formed Cluster 4. Correlation analysis reinforced the picture: plant height correlated strongly with canopy volume at r equal to 0.91, fruit weight correlated tightly with size index at r equal to 0.58, and total soluble solids rose with plant spread and canopy volume, confirming that larger architectures favour greater photosynthetic accumulation and sweeter fruit. Notably, stem girth showed no association with fruit weight, hinting that quality traits can be selected independently of tree size.

The implications extend well beyond taxonomy. Four accessions, Ber_Abda_20, Ber_Bhuj_21, Ber_Bhuj_29 and Ber_Bhuj_30, stand out as elite candidates for cultivar development and field trials, with potential roles either as candidate varieties or as robust rootstocks tailored for hyper-arid, saline environments. The strong correlation patterns between structural traits and fruit quality indices also offer reliable selection proxies that could accelerate early-stage seedling culling in future breeding programmes. Just as importantly, the study sounds a conservation alarm: wild ber diversity across India remains poorly characterised and is threatened by habitat loss, overgrazing and the spread of improved cultivars. By demonstrating that Kachchh’s under-studied germplasm ranks among the most resilient and variable ber populations yet reported, the research makes a persuasive case that the genetic resources of India’s harshest landscapes are not a curiosity but a strategic asset for food security in the climate era.

Subject of Research: Agro-morphological and biochemical diversity of wild ber (Ziziphus spp.) germplasm from the Kachchh region of Gujarat, India

Article Title: Multivariate analysis of agro morphological and biochemical variation in ber germplasm from the Kachchh region of Gujarat India

Article References: Dev, R., Singh, T., Kumar, C., Tetarwal, A., & Dayal, D. (2026). Multivariate analysis of agro morphological and biochemical variation in ber germplasm from the Kachchh region of Gujarat India. Discover Plants, 3(1), Article 373. https://doi.org/10.1007/s44372-026-00808-5

Image Credits: AI Generated

DOI: 10.1007/s44372-026-00808-5

Keywords: Ziziphus mauritiana, ber, germplasm diversity, Kachchh, Gujarat, principal component analysis, cluster analysis, fruit quality, total soluble solids, arid horticulture, climate resilience, plant breeding