This was an experimental agricultural study rather than a review, protocol, simulation or laboratory model. Researchers synthesized mesoporous nano-silica and reduced graphene oxide materials carrying urea, then evaluated the resulting nanocomposites in a greenhouse rice–wheat pot sequence. The abstract does not report the number of pots or replicates, the greenhouse location, statistical uncertainty or the duration of the sequence, so the scale and generalizability of the findings cannot be assessed from the available information.

According to the abstract, the researchers characterized the nanocomposites using Fourier-transform infrared spectroscopy, energy-dispersive X-ray spectroscopy, scanning and transmission electron microscopy, X-ray diffraction and selected-area electron diffraction. FTIR showed N–H and C=O stretching patterns, which the authors interpreted as evidence that urea had been incorporated into the nanomaterial framework. SEM and TEM indicated interface structures on the silica and graphene surfaces associated with urea engraftment.

Results differed between the two material systems and among nitrogen treatments. The rice–wheat yield, nitrogen-content and nitrogen-uptake results favored the urea–mesoporous nano-silica treatment N120 (Urea-mNS)-P60-K40, while the soil-health measurements reported for N90 (Urea-mNS)-P60-K40 included available nitrogen, phosphorus and potassium, microbial population and dehydrogenase activity. In contrast, reduced-graphene-oxide-based nanocomposites were reported to reduce crop performance, nutrient availability and microbial activity at higher nitrogen levels.

The findings are limited to the tested greenhouse pot conditions and the treatments described in the abstract. The authors characterized the mesoporous nano-silica formulations as promising agricultural nutrient carriers, but said dedicated release studies are needed to confirm controlled nutrient-release behavior. The abstract also indicated that reduced-graphene-oxide formulations require tailored strategies rather than direct transfer of the silica results.

Subject of Research: Greenhouse evaluation of urea-based nanomaterial composites in rice–wheat cropping and soil health

Article Title: Characterization and functional evaluation of urea-mesoporous nano-silica and urea-reduced graphene oxide nanocomposites on rice–wheat and soil health

Article References: V, M. S., Durgude, S. A., Ram, S., Isha, Gorde, N. B., Singh, S. V., Anil, A. S., Maurya, R., Gupta, D., Nakhate, P., Hange, M., Sambare, S. R., Chauhan, A. P. S., Kumar, P., Sharma, R., & Padhan, S. R. (2026). Characterization and functional evaluation of urea-mesoporous nano-silica and urea-reduced graphene oxide nanocomposites on rice–wheat and soil health. Discover Sustainability. https://doi.org/10.1007/s43621-026-04426-9

Image Credits: AI Generated

DOI: 10.1007/s43621-026-04426-9

Keywords: greenhouse pot study, rice–wheat sequence, urea nanocomposites, mesoporous nano-silica, reduced graphene oxide, crop yield, nitrogen uptake, soil nutrients, microbial activity, dehydrogenase activity, Characterization, functional

The study, published in the Journal of Agriculture and Food Research, was led by Curtis B. Adams of the USDA Agricultural Research Service together with Christopher W. Rogers, Juliet M. Marshall, and Kurtis L. Schroeder of the University of Idaho. Rather than comparing the two species as monoliths, the team dissected them into their market classes: three classes of spring barley (feed, food, and malt) and three classes of spring wheat (hard red, hard white, and soft white). These classes exist because selective breeding has pushed each species toward distinct end uses—malt barley must stay below a 13.0 percent grain protein ceiling for premium pricing, while hard red spring wheat is bred to exceed a 14.0 percent protein floor. Those breeding targets, the researchers suspected, might shape not only grain chemistry but also how each class responds to environment.

The experimental scale was formidable. The six crop classes were grown side by side at seven locations across northern and southern Idaho—Aberdeen, Ashton, Craigmont, Genesee, Idaho Falls, Rupert, and Soda Springs—spanning elevations from 823 to 1,760 meters, in the 2018 and 2019 growing seasons. The sites ranged from fully irrigated fields receiving complete evapotranspiration replacement to dryland plots relying solely on precipitation, and soil organic matter ranged from 9 to 40 grams per kilogram. Each class was managed with its own best practices under randomized complete block designs with four replicates, and three varieties per class were selected to create a balanced dataset of 14 distinct environments. At physiological maturity, aboveground biomass was sampled from non-border plots, hand-threshed into grain and residue, and analyzed for carbon, nitrogen, phosphorus, potassium, calcium, magnesium, sulfur, zinc, and manganese using Dumas combustion and ICP-OES at a proficiency-certified laboratory.

The headline yield finding vindicates part of the folk wisdom. When grain yields were regressed against a quantitative modeled estimate of each environment’s productivity, the slopes of the species-level relationships diverged significantly. In the lowest-yielding conditions, barley systems were modeled to produce up to 0.62 megagrams per hectare more grain than wheat. But at the high-yielding end of the spectrum, wheat was modeled to exceed barley by up to 0.36 megagrams per hectare. The pattern echoes a 2024 analysis of Argentine variety trials by Gimenez and colleagues, which found barley out-yielded early-maturing wheat in stressful environments while late-flowering wheat slightly out-yielded barley in productive ones. It contrasts, however, with a 2023 synthesis by Slafer and Savin covering worldwide comparisons, which detected no consistent species advantage at any yield level.

Adams and colleagues argue that these discrepancies resolve once breeding investment is taken into account. In their Idaho data, the species-level yield interaction was actually driven by class-level nuance: food barley trended low while malt barley trended consistently high, and the white wheat classes exhibited greater environmental responsiveness, yielding relatively poorly in lean fields but strongly in productive ones. Malt barley has received extensive breeding attention in Idaho; food barley comparatively little. The researchers suggest that the comparative performance of wheat and barley in any given region depends on the relative breeding investment in the germplasm being compared, the broader non-yield goals of that breeding, and the biochemical traits—like grain protein—that classes are selected to differ in. Regional species differences, they note, may simply offset one another when data are pooled worldwide.

The mineral nutrition results may prove even more consequential than the yield findings. Grain nitrogen concentration differed dramatically and predictably among classes, with hard red wheat highest, feed and malt barley lowest, and soft white wheat the only wheat class overlapping with barley. Beyond nitrogen, wheat grain generally accumulated higher concentrations of phosphorus, magnesium, sulfur, zinc, and manganese than barley, while barley grain carried more potassium. The manganese contrast was the most striking: barley grain Mn was low and nearly steady across environments, increasing only 5.38 milligrams per kilogram from low to high environmental Mn index, while wheat grain Mn was far greater overall and highly responsive, climbing 44.1 milligrams per kilogram across the same range. The species gap widened from roughly 13 to 50 milligrams per kilogram as environmental Mn availability increased. The researchers speculate that differences in rhizosphere acidification—a mechanism underlying luxury Mn uptake in known hyperaccumulator species—might explain the divergence.

These grain chemistry differences carry direct health implications. Mineral bioavailability depends on more than density alone, but the results suggest whole-grain wheat offers a greater source of nutritional minerals than barley, a finding consistent with earlier regional surveys from Finland and Manitoba showing wheat among the highest and barley the lowest in Mn among temperate cereals. The consistently higher grain magnesium in wheat—averaging 0.27 grams per kilogram more—also matches established whole-grain nutritional data. For populations facing mineral deficiencies, the species choice in a cropping system could thus matter for reasons entirely separate from yield or market price.

The residue story, by contrast, is one of remarkable similarity with important exceptions. Wheat and barley produced statistically identical amounts of residue, and their residue nitrogen concentrations and carbon-to-nitrogen ratios were nearly equal across environments. Since residue C/N governs microbial decomposition rates, nitrogen mineralization, and soil carbon sequestration, the findings suggest residue management can be broadly similar between the species. But other residue nutrients diverged sharply. Wheat residue carried about 7.59 grams per kilogram more potassium than barley—potassium being by far the most concentrated nutrient in residue of either crop—while barley residue accumulated more phosphorus, calcium, and zinc, with barley concentrations rising disproportionately as environmental nutrient indices increased. Earlier work by the same team estimated that wheat and barley residues extract averages of 28.4 and 23.9 kilograms of potassium per hectare, respectively, for every megagram of grain yield, underscoring the severe economic cost if residue is harvested and the nutrients within it must be replaced by fertilizer.

Perhaps the most unexpected discovery was a positive covariance between residue productivity and residue nutrient concentrations. This is counter to the well-documented negative tradeoff between grain yield and grain nutrient concentration in small grains, which the study also confirmed in the grain fraction. In the residue, biomass production and nutrient density rose together in the same environments, meaning nutrient extraction through residue is even higher in productive systems than simple averaging would predict. The variance deconstruction analysis showed that residue nutrient concentrations and residue production each contributed substantially—often more than 100 percent combined before a large negative covariance term offset them—while for grain, yield was typically the dominant driver of nutrient uptake, contributing 64 to 84 percent of variance for most nutrients. The exception was grain manganese, for which concentration, not yield, was the largest contributor to uptake variance.

Principal component analysis of whole-crop data revealed further structure in how nutrients associate. In both species, phosphorus, magnesium, and zinc stoichiometries clustered together, as did nitrogen, potassium, and sulfur—patterns the researchers attribute to favorable nutrient balance, nitrogen sufficiency from fertilizer inputs, and the well-known coordination between N and K uptake. Manganese stood negatively related to nearly all other nutrients, especially in barley, hinting at a possible Mn-P antagonism. All carbon-to-nutrient ratios declined as environmental nutrient availability rose, though at different rates. Taken together, the study delivers a dual message: the barley-beats-wheat-in-bad-years perception holds only at the environmental margins and depends heavily on which classes are being compared, while the mineral density advantage of wheat grain—tempered by barley’s potassium edge and its residue phosphorus and zinc accumulation—gives growers, breeders, and nutritionists a far richer basis for deciding which cereal belongs in which field, and for whom.

Subject of Research: Agricultural Science

Article Title: Comparative class-wise wheat and barley system yields, and mineral nutrient concentrations, stoichiometry, and uptake across wide environmental ranges

Article References: Adams, C. B., Rogers, C. W., Marshall, J. M., & Schroeder, K. L. (2026). Comparative class-wise wheat and barley system yields, and mineral nutrient concentrations, stoichiometry, and uptake across wide environmental ranges. Journal of Agriculture and Food Research, Article 103376. https://doi.org/10.1016/j.jafr.2026.103376

Image Credits: AI Generated

DOI: 10.1016/j.jafr.2026.103376

Keywords: wheat, barley, crop yield, mineral nutrients, grain nutrition, stoichiometry, crop residue, agronomy, Comparative, class-wise, system, yields

The research, led by Gulfam Yousaf and colleagues working at the Key Laboratory of Oasis Agricultural Pest Management and Plant Protection Utilization at Shihezi University in Xinjiang, China, took a two-pronged approach. In controlled pot experiments, the team sprayed the herbicide on major broadleaf weeds at different growth stages, both with and without an adjuvant, to measure how efficacy changes as weeds mature. In parallel field plots, they tested early-stage and mid-stage applications across a range of doses, tracking crop injury, weed biomass reduction, growth parameters, yield traits and a suite of oxidative stress markers at multiple time points after treatment.

The pot trials delivered a strikingly clear message about timing. Pyrithiobac sodium achieved complete control of black nightshade, Solanum nigrum, when the weed was at the four-leaf stage. Wait until the five-leaf stage and control dropped slightly but remained high, at between 91 and 95 percent. By the six-leaf stage, however, efficacy had slid to between 80 and 85 percent, a meaningful decline that translates into surviving weeds, replenished seed banks and renewed competition. The pattern underscores a principle weed scientists have long emphasized: herbicides that inhibit acetolactate synthase, the enzyme target of pyrithiobac sodium, are most lethal to young, actively dividing seedlings whose rapidly growing tissues are most dependent on branched-chain amino acid synthesis.

Cotton, remarkably, tolerated the treatment well in most circumstances. Soon after spraying, temporary leaf injury appeared on the crop, but the plants later recovered fully in the pot studies. In the field, more than 80 percent of cotton plants showed noticeable injury within the first week after application, an alarming figure at first glance. Yet the symptoms proved transient: by 42 days after treatment, visible injury had fallen below 5 percent. The crop’s capacity to metabolize the herbicide and outgrow the initial chemical insult is what makes pyrithiobac sodium a selective option for broadleaf weed control in a broadleaf crop, a combination that is botanically tricky to pull off.

Weed suppression in the field was impressive where weeds were still vulnerable. Pyrithiobac sodium reduced the biomass of Solanum nigrum by up to 86.8 percent and that of redroot pigweed, Amaranthus retroflexus, by up to 89.3 percent. For farmers, those numbers mean dramatically less competition during the critical early window when cotton is establishing its root system and canopy. Less weed pressure in the first weeks of the season generally cascades into better stand structure, more uniform boll set and, ultimately, more harvestable seed cotton per hectare.

But the study’s most consequential finding concerns the dose. At the maximum tested rate, 274.2 milliliters per hectare, the herbicide notably suppressed plant height, biomass, chlorophyll content, boll count and seed cotton yield in the crop itself. In other words, the very chemical deployed to protect the yield became, at high doses, a yield limiter in its own right. This dose-dependent trade-off is a classic dilemma in herbicide science: rates high enough to guarantee weed kill can overlap into crop phytotoxicity, especially when environmental conditions slow the crop’s ability to detoxify the compound.

Timing amplified that trade-off. Applications made early in the cotton crop’s development produced significant reductions in growth and yield-related parameters, whereas mid-stage applications showed comparatively smaller effects, some of which were not statistically significant. Young cotton seedlings, it turns out, are far more sensitive to the herbicide than plants that have already built some vegetative resilience. The practical implication is a narrow optimization window: spray late enough to spare the crop, but early enough to catch weeds at their most susceptible, ideally four-leaf stage or younger.

Behind the visible symptoms, the researchers traced a coherent biochemical signature of stress. Treated plants, particularly those receiving the highest dose at the early stage, showed marked increases in the activities of antioxidant enzymes including peroxidase, superoxide dismutase, ascorbate peroxidase and catalase, the plant’s first-line defense against reactive oxygen species. They also accumulated higher levels of hydrogen peroxide and superoxide radicals, together with elevated malondialdehyde, a marker of lipid peroxidation in cell membranes, and increased electrolyte leakage, a sign that membranes had lost some of their integrity. In plain terms, the herbicide pushed cotton plants into oxidative stress, and the plants responded by ramping up their enzymatic firefighting machinery.

This oxidative framing matters because it connects the field observations to underlying physiology. Reactive oxygen species accumulate when photosynthetic and metabolic processes are disrupted faster than the plant can dissipate the excess electrons and intermediates. Chlorophyll loss, stunted growth and reduced boll numbers seen at high doses are the downstream echoes of that molecular damage. Measuring malondialdehyde and electrolyte leakage alongside enzyme activities gives researchers a quantitative readout of how hard the crop is being hit, and by extension, how much margin a given dose and timing regime leaves between weed control and crop harm.

The authors conclude that optimizing both the timing and the dose rate of pyrithiobac sodium is essential to reduce physiological stress in cotton while still ensuring effective weed management. For growers in Xinjiang and other cotton regions battling the same suite of broadleaf weeds, the study offers a data-driven recipe: target weeds young, favor mid-stage application where the crop allows it, and resist the temptation to escalate dose rates as insurance. As herbicide resistance and environmental scrutiny tighten the screws on chemical weed control, this kind of precision, matching chemistry to crop stage and weed phenology, may prove just as important as the discovery of new molecules. The work was supported by the Major Science and Technology Project of Xinjiang Uygur Autonomous Region, reflecting regional investment in green control technologies for major crops.

Subject of Research: Weed control efficacy and crop safety of the herbicide pyrithiobac sodium in cotton

Article Title: Assessment of weed control efficiency of pyrithiobac sodium and its influence on growth, physiology and yield parameters of cotton (Gossypium hirsutum L.)

Article References: Yousaf, G., Sharif, M. M., Zeeshan, M., Ahmed, H., Ting, M., Abbas, K., Yang, D., & Juan, D. (2026). Assessment of weed control efficiency of pyrithiobac sodium and its influence on growth, physiology and yield parameters of cotton (Gossypium hirsutum L.). BMC Plant Biology. https://doi.org/10.1186/s12870-026-10143-2

Image Credits: AI Generated

DOI: 10.1186/s12870-026-10143-2

Keywords: cotton, pyrithiobac sodium, weed control, Solanum nigrum, Amaranthus retroflexus, herbicide timing, oxidative stress, antioxidant enzymes, phytotoxicity, crop yield, broadleaf weeds, plant physiology

The stakes are nutritional as much as agronomic. Vitamin A deficiency remains a serious public health concern across the developing world, causing night blindness, stunted growth, and increased mortality risk, with the heaviest burden falling on young children, pregnant and lactating women, and rural populations living in poverty. Orange-fleshed sweet potato varieties are naturally rich in β-carotene, which the human body converts into vitamin A, offering an affordable and year-round source of the nutrient for low-income households. The varieties officially released in Ethiopia are notably dense in macro- and micronutrients, containing β-carotene at 20.01 milligrams per 100 grams, protein at 7.08 percent, iron at 2.55 milligrams per 100 grams, and zinc at 1.42 milligrams per 100 grams, alongside substantial sugars including fructose, glucose, and sucrose.

Ethiopia’s sweet potato story is one of remarkable recent transformation. For many years the national average yield on farms languished below 9 tonnes per hectare, but expansion of production, adoption of improved varieties, and better agronomic practices have pushed productivity to 36 tonnes per hectare according to national statistics. The crop ranks third among the country’s root crops, after enset and potato, and is an integral part of the cropping system in the eastern, southern, and south-western parts of the nation. Its ability to thrive under poor environmental conditions with low input requirements makes it a critical safety crop in regions where unfavourable weather can cause the failure of staple cereals and legumes.

Yet the adoption of improved technologies by Ethiopian farmers remains limited, largely because of weak connections between farmers and research institutions and insufficient dissemination of research outputs. Erratic and irregular rainfall is a growing problem across the country, and micronutrient deficiency is a serious issue generally and particularly in the Amhara region. To bridge this extension gap, the research team turned to the Farmers–Research–Extension Group approach, an innovation platform that brings together farmers, researchers, and agricultural experts from district to kebele levels for collaborative problem identification, joint planning, implementation, monitoring, and evaluation. In the Sedeni irrigation scheme, a group of 33 farmers was established and actively involved throughout the demonstration, electing a chairperson and a secretary after discussions with a multidisciplinary research and extension team.

The demonstration itself was deliberately practical. Host farmers were purposively selected in collaboration with district and kebele agriculture offices based on land accessibility, willingness to participate, and soil suitability. Before planting, training was provided to agricultural experts and development agents covering the sweet potato production package, disease and pest management, post-harvest handling, and utilization, reaching 43 participants in total, including 33 farmers, two development agents, and eight researchers. The two orange-fleshed varieties were planted on six host farmers’ fields in 10 by 10 metre plots, with recommended spacing of 1 metre between ridges and 0.3 metres within plants. Field days were organized at physiological maturity and during harvesting, including post-harvest sensory evaluation, drawing 47 participants and even promotion through Amhara Television programs and North Wollo communication affairs.

The yield data tell a subtle but significant story. Statistical analysis using a t-test in Gen Stat version 17 revealed that most yield and yield-related traits showed no significant difference between the two varieties, with one striking exception: root number per plant. Birtukanie produced an average of 13 roots per plant, whereas Jari produced only 4, a difference that proved statistically significant and contributed substantially to Birtukanie’s numerically higher total root yield of 33.56 tonnes per hectare compared with Jari’s 31.23 tonnes per hectare. This finding aligns with earlier research showing that a higher number of tuberous roots per plant is a key yield-determining trait and an important criterion for selecting adaptable, high-yielding sweet potato varieties.

The inverse relationship between root number and root size adds an intriguing twist. Jari, with fewer roots per plant, recorded the highest average root weight at 549.1 grams, whereas Birtukanie recorded a much lower 108.9 grams, although this variation was not statistically significant. Jari also produced a higher yield per plant, 1775 grams against Birtukanie’s 1409 grams, attributable to its larger average root size. The two varieties thus embody contrasting yield-component profiles: Birtukanie is characterized by many roots and higher total yield, while Jari produces fewer but larger roots with higher per-plant output. From a practical farming perspective, these differences offer distinct strategic advantages depending on production objectives, whether maximizing bulk yield for household consumption and local markets or meeting market and industrial preferences for large, uniform tubers that may command premium prices.

Farmers’ evaluations, analyzed using a five-point Likert scale and the Relative Importance Index, revealed a clear pattern of preference. Jari was favoured for root size and firmness, corresponding with its higher average root weight and better quality after cooking, while both varieties received similar scores for root shape, color, and easiness for cooking. Birtukanie, however, received a higher preference score for productivity, reflecting its greater total root yield, and was strongly preferred for taste and palatability, indicating superior consumer acceptance despite its smaller individual root size. Feedback gathered from farmers and stakeholders painted a consistent picture: sweet potato was valued as an easy-to-grow, low-cost, drought-tolerant crop with minimal pest and disease problems that performs well on poor soils, and the propagation method using stem cuttings was perceived as simple, efficient, and cost-effective. Farmers particularly appreciated Birtukanie for its many tubers, marketable size, high productivity, and cake-like taste, while Jari’s large root size was seen as a potential market liability that made cooking, consumption, and sale more difficult.

The demonstration’s conclusions point toward scaling up Birtukanie across Habru district and similar agro-ecologies, supported by extension services promoting recommended production practices including planting, disease management, and harvesting. Researchers emphasize that efforts should also focus on ensuring the availability of quality planting materials through strengthened stem cutting propagation systems, and on establishing strong market linkages for the sale of sweet potato tubers and vines. Further on-farm trials in diverse locations are encouraged to validate adaptability under varying management practices, and incorporating farmers’ feedback through participatory approaches remains essential to adoption and sustainability. For a crop that can still produce harvests when drought or unfavourable weather causes the failure of cereals and legumes, the message from North Wollo is unambiguous: matching improved varieties to both yield potential and farmers’ preferences can enhance productivity, income, and household food security in food-insecure regions, one irrigated field at a time.

Subject of Research: Pre-extension demonstration of sweet potato varieties under the Sedeni irrigation scheme in Habru district, North Wollo

Article Title: Pre-extension demonstration of sweet potato ( Ipomoea batatas L.) varieties under the sedeni irrigation scheme in Habru district, North Wollo

Article References: Haile, A., Siyum, N., Gashaw, B., & Zemene, B. (2026). Pre-extension demonstration of sweet potato (Ipomoea batatas L.) varieties under the sedeni irrigation scheme in Habru district, North Wollo. Innovations in Agriculture, 9, Article e180520. https://doi.org/10.3897/ia.2026.180520

Image Credits: AI Generated

DOI: 10.3897/ia.2026.180520

Keywords: sweet potato, Ethiopia, orange-fleshed sweet potato, vitamin A, food security, agriculture, crop yield, farmer preference, North Wollo, irrigation, Pre-extension, demonstration

The research team focused on foxtail millet, a hardy cereal crop well suited to semi-arid conditions, grown in soil collected from farmland near Huairen City. The soil in this basin is classified as soda-type saline-alkali soil, characterized by high concentrations of carbonate and bicarbonate ions that severely restrict food production. Rather than relying on expensive hydraulic engineering, chemical amendments like gypsum, or early-stage halophyte planting, the researchers turned to a physical intervention: blending sand into the surface 20 centimeters of soil at five different volume ratios, ranging from zero to twenty percent.

To understand how sand mixing alters water and nutrient movement, the team conducted one-dimensional vertical ponded-infiltration experiments in laboratory soil columns. Each column, eighty centimeters tall with a ten-centimeter inner diameter, was packed with forty-five centimeters of untreated soil beneath a twenty-centimeter layer of soil-sand mixture. A Mariotte bottle system maintained a constant two-centimeter water head at the surface, while sampling ports at five-centimeter intervals allowed researchers to track moisture, salt, and nutrient distributions at ten depths. Three infiltration-water treatments were tested: deionized water, a low-concentration NPK solution containing five grams per liter of ammonium nitrate and 2.5 grams per liter of potassium dihydrogen phosphate, and a high-concentration version with double those amounts.

The results revealed a striking acceleration of water movement. When the wetting front reached fifty centimeters—the benchmark depth—untreated soil took approximately 650 minutes under deionized water. With twenty percent sand mixed in, that time dropped by twenty-six percent. Fertilizer solutions accelerated infiltration even further: the high-concentration NPK treatment shortened infiltration time by roughly forty percent compared to deionized water alone, and combining that with twenty percent sand mixing reduced the total time by forty-four percent. The mechanism, the researchers explain, involves ionic strength. As strong electrolytes, the fertilizer solutions compress the electrical double layer around soil particles, diminishing electrostatic repulsion and promoting flocculation of fine particles. This improves soil porosity and stabilizes structure, allowing water to move more freely through the profile.

Sand mixing also reshaped the vertical moisture distribution in unexpected ways. Within the top twenty centimeters—the mixed layer itself—soil water content decreased as the sand ratio increased, reflecting the coarse particles’ limited water-holding capacity. But below twenty centimeters, the opposite occurred: sand-mixed treatments consistently retained more moisture than the untreated control, with ten to fifteen percent ratios proving most effective. The underlying soil, with its higher clay content and greater specific surface area, adsorbs and holds water more strongly once it percolates down from the faster-draining surface layer. Meanwhile, higher nutrient concentrations in the infiltration water increased soil water content across all layers, likely because ammonium and potassium ions promote clay flocculation and aggregate formation more effectively than sodium ions native to the soil.

Salt dynamics told an equally compelling story. Under deionized water infiltration, all sand-mixing treatments achieved higher desalination rates than the control in the zero-to-forty-centimeter layer, with improvements ranging from ten percent at five percent sand to forty-three percent at twenty percent sand. However, the researchers observed a critical caveat: salts migrated downward and accumulated sharply in the forty-to-fifty-centimeter layer, forming what they describe as a subsurface salt reservoir. In regions with shallow, highly mineralized groundwater—like the Datong Basin—this stored salt could be remobilized through capillary rise and return to the root zone, causing secondary salinization. The team recommends long-term monitoring of the forty-to-sixty-centimeter layer combined with drip irrigation and plastic mulching to prevent this risk.

Nutrient transport patterns varied considerably depending on the interplay between sand ratio and fertilizer concentration. Ammonium nitrogen declined with increasing sand-mixing ratio in the surface layer, while higher fertilizer concentrations enhanced its vertical mobility, pushing it deeper into the profile. Nitrate nitrogen, a non-adsorbable anion, moved in close synchrony with the wetting front and accumulated at greater depths under higher sand ratios. Available phosphorus and available potassium showed inverse relationships with sand mixing in the top layers but responded positively to fertilizer concentration. Correlation analysis revealed that the relationship between available phosphorus and available potassium strengthened as nutrient concentration increased, suggesting that at high inputs, both ions persist in soil solution as free or weakly bound species co-transported with infiltrating water.

To quantify these complex interactions, the researchers deployed four machine-learning algorithms: multiple linear regression, random forest, XGBoost, and LightGBM. Using sand-mixing ratio, infiltration-water treatment, and soil depth as input features, the models predicted six target variables—water content, salt content, ammonium nitrogen, nitrate nitrogen, available phosphorus, and available potassium. XGBoost emerged as the clear winner, achieving coefficients of determination above 0.93 for water content, salt content, and all nutrient indicators, with the lowest or near-lowest root mean square and mean absolute errors. Linear regression performed worst, confirming that the relationships governing water-salt-nutrient transport are fundamentally nonlinear. The team notes that XGBoost’s regularization terms and efficient split-finding algorithm give it an edge in capturing high-dimensional interactions.

The field experiment, conducted from May to October 2024 in Huairen City, translated these laboratory findings into agronomic reality. Forty-five plots, each two by five meters, combined the same five sand ratios with three compound fertilizer rates: 1,050, 1,500, and 1,950 kilograms per hectare. At maturity, both sand ratio and fertilization rate significantly affected plant height and stem diameter, with highly significant effects on panicle weight—the core indicator of yield potential. Plant height generally increased with fertilization, while moderate sand mixing of ten percent produced the tallest plants and thickest stems under high fertilization. Excessive sand mixing at twenty percent consistently reduced plant height, even under high fertilizer inputs, suggesting a threshold beyond which the benefits of improved permeability are offset by diminished water retention.

Panicle weight told the most nuanced story. Under low and medium fertilization, panicle weight rose and then fell with increasing sand ratio, peaking at ten percent mixing—significantly higher than all other treatments. Under high fertilization, differences among sand ratios diminished, indicating that abundant nutrients can partially compensate for soil texture variations. The optimal combination emerged clearly: ten percent sand mixing paired with 1,500 kilograms per hectare of compound fertilizer produced the greatest panicle weight overall. The researchers conclude that a sand-mixing ratio of ten to fifteen percent, combined with appropriate water and fertilizer management, offers the best balance of surface desalination, deep-layer water storage, and crop productivity for moderately saline-alkali soils in northern Shanxi—turning locally abundant river sand from an underused resource into a practical tool for food security.

Subject of Research: Effects of sand mixing and nutrient management on water, salt, and nutrient transport and foxtail millet growth in moderately saline-alkali soil

Article Title: Impact of sand-mixing and nutrient treatments on the growth of foxtail millet in moderately saline-alkali soil

Article References: Wang, W., Qiu, S., Yang, S., Duan, X., Liu, Z., & Cui, Q. (2026). Impact of sand-mixing and nutrient treatments on the growth of foxtail millet in moderately saline-alkali soil. Frontiers in Agronomy, 8, Article 1850435. https://doi.org/10.3389/fagro.2026.1850435

Image Credits: AI Generated

DOI: 10.3389/fagro.2026.1850435

Keywords: saline-alkali soil, foxtail millet, sand mixing, soil infiltration, nutrient transport, XGBoost, soil salinity, fertilization, Datong Basin, soil water content, machine learning, crop yield

The disease in question, powdery mildew, is caused by the fungus Erysiphe cichoracearum. It announces itself as minute discolored specks on sunflower leaves, from which a powdery white mass radiates outward until entire leaves are coated. Under the warm conditions typical of tropical regions, the infection can escalate to complete defoliation, and the resulting loss of photosynthetic surface translates directly into fewer and lighter seeds. While sunflower is among the world’s most cultivated oil crops, with global production around 40.21 million tons annually across roughly 26.05 million hectares, Ethiopia’s national average yield sits at only about 1.033 tons per hectare, dragged down in part by this and other fungal diseases.

The research team set out to test whether pairing host resistance with chemical control could suppress powdery mildew epidemics more effectively than either strategy alone. They evaluated two sunflower varieties, the improved Russian black and a local variety, in combination with three fungicides: propiconazole 25% EC, a systemic triazole; wettable sulphur 80%, a contact fungicide; and mancozeb 80%, another contact product. Each fungicide was applied either once or twice per season, producing fourteen treatment combinations that were arranged in a randomized complete block design with factorial structure and three replications under field conditions.

The choice of fungicides reflects three distinct modes of action. Propiconazole, as a triazole, moves systemically through the xylem of the plant and blocks the biosynthesis of ergosterol, an essential component of fungal cell membranes; without this sterol, the fungal cell wall is irreversibly damaged and the pathogen dies. Wettable sulphur interferes with cellular respiration in fungal pathogens, while mancozeb reacts with sulfhydryl groups in fungal proteins. Because these chemicals attack the fungus in different ways, the researchers reasoned that their performance under field conditions might differ substantially, and the data confirmed that prediction.

Disease assessments were rigorous. Ten plants per plot were randomly selected from central rows and marked for repeated observation, with incidence calculated as the percentage of plants showing symptoms and severity rated on a 1-to-9 scale that was converted to a percent severity index. From these repeated measurements, the team computed the area under the disease progress curve, or AUDPC, a single value that integrates initial disease intensity, the rate of epidemic development, and the duration of the epidemic, providing a compact signature of how aggressively the pathogen spread in each plot.

The results were striking. At Debub Ari, untreated local variety plots suffered a mean disease severity of 63.7 percent, while plots planted with Russian black and sprayed twice with propiconazole showed only 3.7 percent, a 94.2 percent relative reduction. At Salamago, the corresponding values were 39.25 percent for untreated local plots and 5.92 percent for the best treatment. Plots of the improved variety treated twice with wettable sulphur and plots receiving a single propiconazole spray also performed strongly, reducing severity by 86.3 percent and 81.6 percent respectively compared with the untreated local check. The AUDPC analysis mirrored these patterns: untreated local plots accumulated 778.74 percent-days of disease at Debub Ari and 489.93 percent-days at Salamago, whereas Russian black with two propiconazole applications kept the epidemic to just 102.84 percent-days at the first site, with wettable sulphur treatments close behind at the second.

Correlation analysis revealed how tightly the disease was linked to productivity. At Salamago, percent severity and AUDPC were almost perfectly correlated with each other, and grain yield showed strongly negative associations with both disease measures. Head diameter and thousand seed weight also declined as disease pressure rose. Similar negative relationships between disease parameters and yield emerged at Debub Ari, confirming that every increment of mildew severity translated into measurable losses in the components that determine final harvest weight.

Yield data told the same story from the opposite direction. The highest yields came from Russian black plots treated with propiconazole twice, reaching 2869.8 kilograms per hectare at Salamago, followed by 2841.3 kilograms per hectare with a single sulphur spray and 2834.9 kilograms per hectare with two sulphur applications. Closely similar trends appeared at Debub Ari. Untreated local variety plots, by contrast, yielded just 1289.5 kilograms per hectare at Debub Ari and 1574.6 kilograms per hectare at Salamago. Plant height and head diameter also responded to treatment, with the tallest plants and largest heads generally found in the improved variety under effective fungicide programs.

The economics proved equally persuasive. In a partial budget analysis that accounted for fungicide costs, local market prices, and a 10 percent downward adjustment of experimental yields to reflect realistic farm conditions, the highest net benefits came from Russian black sprayed once with propiconazole, followed by the two-spray propiconazole program and the sulphur treatments on the same variety. Untreated local plots delivered the lowest returns by a wide margin. Gap analysis summarized the practical advantage: treated plots reduced mean disease severity by roughly 91 percent compared with usual agro-pastoral practice and offered a 45.58 percent yield advantage over unsprayed controls.

The authors conclude that integrating the improved Russian black variety with propiconazole 25% EC at 0.1 percent concentration, followed by wettable sulphur 80% where appropriate, offers farming communities in South Omo a reliable and affordable strategy against powdery mildew. Because propiconazole is already available in local markets and provides both curative and protective action, adoption barriers are low. For a crop that anchors edible oil production across the region’s drought-prone landscapes, the study suggests that a modest investment in variety choice and spray timing can transform powdery mildew from a chronic yield thief into a manageable problem.

Subject of Research: Integrated management of sunflower powdery mildew using resistant varieties and fungicides in southern Ethiopia

Article Title: Management of sunflower powdery mildew through varieties and fungicides application in Debub Ari and Salamago districts of South Omo, Southern Ethiopia

Article References: Adila, W., Jerjero, T., & Bekele, F. (2025). Management of sunflower powdery mildew through varieties and fungicides application in Debub Ari and Salamago districts of South Omo, Southern Ethiopia. Innovations in Agriculture, 8, 1-7. https://doi.org/10.3897/ia.2025.143321

Image Credits: AI Generated

DOI: 10.3897/ia.2025.143321

Keywords: sunflower, powdery mildew, Erysiphe cichoracearum, fungicides, propiconazole, wettable sulphur, Ethiopia, South Omo, plant pathology, crop yield, integrated disease management, agronomy

Researchers from Ethiopia set up their trial in Decha district, an area where eucalyptus-based agroforestry is widespread and maize is the dominant food and cash crop. The team planted four Eucalyptus species—river red gum (Eucalyptus camaldulensis), lemon-scented gum (Eucalyptus citriodora), flooded gum (Eucalyptus grandis), and Sydney blue gum (Eucalyptus saligna)—in hedgerows with 10-meter-wide alleys, then intercropped maize between the rows. A control treatment of sole maize mono-cropping allowed the scientists to measure exactly how much yield the trees cost, and how much they might contribute.

The results, published in the journal BioRisk, reveal a striking pattern that unfolded over three consecutive cropping seasons. In the first year, when the trees were still young, maize grain yield did not differ significantly among treatments, and plots under Eucalyptus camaldulensis hedgerows actually showed a yield advantage over mono-cropping. But as the trees grew taller and their canopies expanded, competition intensified. By the second and third seasons, grain yield differences became statistically significant, and maize grown under Eucalyptus hedgerows consistently declined compared with sole cropping.

The severity of that decline depended heavily on which species shaded the alleys. Eucalyptus saligna proved the most aggressive competitor, reducing maize grain yield by 49 percent in the second season and a dramatic 72 percent in the third season relative to mono-cropping. Eucalyptus grandis followed closely, cutting yields by 30.5 percent and then 57 percent across the same period. In contrast, Eucalyptus camaldulensis showed no significant effect on grain or biomass yield in any season, making it by far the most compatible companion for maize intercropping among the four species tested.

The explanation lies in the trees’ own growth performance. Measurements of diameter at breast height and tree height showed that Eucalyptus saligna and Eucalyptus grandis grew significantly faster than the other two species, reaching mean annual diameter increments of 3.48 and 3.44 centimeters and height increments of 3.78 and 3.65 meters respectively. Eucalyptus camaldulensis and Eucalyptus citriodora grew more slowly, with correspondingly gentler impacts on the crops below. The study also found that tree basal area—a simple measure of stand competitiveness—was negatively correlated with maize grain yield, confirming that as the trees thickened, the crops thinned.

Soil moisture measurements near the hedgerows added another layer of nuance. The four Eucalyptus species showed no significant effect on soil moisture content, though relatively higher soil moisture was consistently observed under Eucalyptus camaldulensis over three consecutive years. This finding challenges the widespread belief that eucalyptus trees inevitably dry out surrounding soils, and suggests that water competition may not be the primary driver of yield decline in this system. Instead, shading and above-ground competition for light likely played a larger role as canopies closed.

In a separate pot experiment at the Bonga Agricultural Research Center, the team tested the allelopathic potential of eucalyptus leaf extracts on maize germination and seedling growth. Contrary to expectations, the aqueous extracts of all four species stimulated seed germination, increasing germination percentages by 18 to 39 percent compared with water-only controls. Shoot length and shoot fresh weight also responded positively. However, the extracts of Eucalyptus camaldulensis, Eucalyptus grandis, and Eucalyptus saligna inhibited root length growth, while Eucalyptus saligna and Eucalyptus grandis reduced root fresh weight. These results suggest that allelochemicals from eucalyptus litter may affect below-ground processes differently than above-ground growth, and that low concentrations of certain compounds may even act as plant growth regulators.

The practical implications for smallholder farmers are significant. The study concludes that farmers practicing maize intercropping with Eucalyptus camaldulensis in a hedgerow arrangement with sufficient spacing—around 8 meters between hedgerows—can potentially obtain both wood and food from the same unit of land. For those prioritizing timber production over maize yields, Eucalyptus saligna and Eucalyptus grandis remain viable options, provided that appropriate management practices minimize above- and below-ground competition. After the third year of cropping, however, maize intercropping became impossible under all four species due to canopy closure, meaning the window for profitable intercropping is limited to the early growth phase of the trees.

The findings contribute to a broader scientific debate about the role of Eucalyptus in tropical agroforestry. Previous studies have reported everything from severe nutrient depletion and yield losses to neutral or even beneficial effects, depending on species, climate, soil type, and management. This study adds site-specific evidence from the Ethiopian highlands, showing that the impact of eucalyptus on crops is neither uniformly harmful nor harmless, but rather depends on tree age, size, and species identity. As eucalyptus plantings continue to expand across southern and southwestern Ethiopia, such evidence will be crucial for designing agroforestry systems that balance the livelihood needs of farmers with the ecological realities of tree-crop competition.

Subject of Research: Agroforestry

Article Title: Growth and yield of maize in Eucalyptus tree alley cropping agroforestry practice in Kafa Zone, Ethiopia

Article References: Alemayhu, A., Gizachew, K., Yakob, G., Kidan, B. G., & Tsegaye, H. (2026). Growth and yield of maize in Eucalyptus tree alley cropping agroforestry practice in Kafa Zone, Ethiopia. BioRisk, 24, 39-54. https://doi.org/10.3897/biorisk.24.183097

Image Credits: AI Generated

DOI: 10.3897/biorisk.24.183097

Keywords: agroforestry, Eucalyptus, maize, Ethiopia, alley cropping, crop yield, tree-crop competition, Growth, yield, tree, alley, cropping

The yield numbers are striking. In the study, conducted between 2022 and 2023, ripe berries were manually harvested from 360 branches across six farms supplemented with stingless bee colonies. Branches close to the colonies averaged 0.50 kilograms of coffee each, while branches far from the colonies averaged 0.30 kilograms. The researchers analysed these data with linear mixed-effects models that accounted for the spatial non-independence of sampling sites, nesting plots within farms and treating farm identity as a random effect. The 67 percent gain survived all statistical scrutiny, confirming that supplemental pollination by a native bee can transform productivity in a crop once thought immune to pollinator deficits.

Why would a self-pollinating plant respond so dramatically to bee visits? The answer lies in the subtle biology of arabica coffee. Although the species does not require pollen transfer between different plants to set fruit, decades of research worldwide have shown that flowers isolated from visiting insects form about 28 percent fewer fruits than flowers open to natural pollinators. Bees appear to enhance fruit set even in self-compatible flowers, likely through more efficient pollen deposition on stigmas. Scaptotrigona depilis brings a suite of traits that make it unusually effective at this job: a small body of roughly 5.5 millimeters, short foraging trips of about 4.2 minutes, constant activity from morning to early afternoon, mass-recruitment foraging using scent trails to rapidly mobilize nestmates, and colonies of around 10,000 workers.

There is also a mechanical quirk that may give stingless bees an edge over honeybees. Like Apis mellifera, S. depilis foragers moisten collected coffee pollen with nectar and pack it into their metatibial pollen baskets. But apparently they carry more free pollen grains incidentally attached to their bodies, and those loose grains are the ones most likely to be available for pollination as bees move from flower to flower. Add the fact that stingless bees lack a functional sting, posing less hazard to farm workers, and their well-developed colony management protocols, and the case for renting them out to coffee growers becomes compelling. Bee rental is already routine for apples and melons in Brazil, and the authors expect arabica coffee to follow the same trajectory.

But the study was designed to answer a second, more contentious question: does thiamethoxam, a neonicotinoid insecticide widely used against the coffee leaf miner and coffee leaf rust, harm stingless bee colonies under real farming conditions? Neonicotinoids are systemic, meaning they are absorbed by the treated plant and translocated to all organs, including nectar and pollen in flowers. Laboratory studies have documented lethal and sublethal effects on social bees, including impaired foraging, learning and memory, colony development and disease resistance. Yet field-realistic colony-level studies on stingless bees have been scarce, and most regulatory ecotoxicology relies on honeybees as the model species.

The researchers installed thiamethoxam-based products, Verdadero 600 WG and Actara 250 WG, by soil drenching during the berry expansion stage of the 2021 season, following label recommendations at field rates of 1 kilogram per hectare. Colonies were introduced the following season, roughly 10 to 18 days before coffee blooming in September and October 2022, so that residues from the previous application could be assessed. Three colony strength parameters were tracked according to international standardized protocols: brood production, counted in pre-provisioning and oviposition stages; brood mortality, calculated as the percentage of empty pupal cells; and foraging activity, counted as foragers leaving the colony during 3-minute observation windows. Measurements were taken before and after blooming and again at 45, 75 and 105 days post-exposure, spanning approximately three complete generations of stingless bees.

The residue analysis told a nuanced story. Using liquid chromatography tandem mass spectrometry, the team detected thiamethoxam and its metabolite clothianidin in all coffee leaves sampled at conventional farms, with leaf concentrations ranging from 0.0093 to 0.1071 milligrams per kilogram. Low but detectable residues also appeared in nectar and pollen stored within the stingless bee nests, generally below 0.02 milligrams per kilogram. At the two organic control farms, residues were below the limit of quantification. Critically, these levels sat well beneath thresholds known to affect honeybee colonies: continuous feeding with 100 parts per billion thiamethoxam for six weeks impaired colony development in prior research, with no adverse effects at 50 parts per billion and a no-observed-effect concentration of 37.5 parts per billion, roughly 1.8 to 2-fold higher than the residues found in the stingless bee food stores.

The colony health data matched the residue picture. Brood production and brood mortality were statistically indistinguishable between colonies on conventional and organic farms, with no significant interaction between farming system and sampling period. Foraging activity did differ between farm types, but the lower baseline activity at conventional farms was observed before coffee flowering began, before foragers had any exposure to coffee nectar or pollen, pointing instead to pre-existing differences in floral resource availability in the surrounding landscape. Both systems showed similar proportional increases in foraging activity once blooming started, and the temporary difference normalized in subsequent assessments. The authors argue that thiamethoxam exposure should not be considered the primary cause of the foraging difference, and that transient effects on foraging do not threaten colony viability when they recover without translating into brood impacts.

Why do laboratory findings of neonicotinoid harm so often fail to materialize in the field? The study explores several explanations. Coffee flowers remain open for only 3 to 4 days and open synchronously in brief but intense flowering periods driven by rainfall, which concentrates foraging into narrow windows and limits exposure duration. Stingless bees visit a wide array of flowering plants, mixing pollen and nectar from treated crops with resources from untreated plants and diluting residue levels. Applications made an average of 8 months before blooming, as the label requires, leave systemic residues on flowers very low, a pattern also seen in apple orchards where fall foliar sprays produced no detectable spring residues. Social bee colonies also possess recovery mechanisms and nutritional buffers that can compensate for some sublethal costs of losing foragers.

The implications ripple outward from the farm gate. Introducing stingless bee colonies gives farmers a direct method to increase coffee yield and generate sustainable profit, which the authors suggest can be invested in native forest restoration, creating a synergistic loop between agriculture and conservation. Brazil produces a record forecast of 178.7 million bags of coffee for 2025/26 across 2.25 million hectares, 82 percent of it arabica, so even modest pollination gains scale into enormous volumes. The study is among the first to combine a pollinator abundance manipulation with a higher-tier colony strength assessment for a non-Apis bee under field-realistic pesticide exposure, and the authors caution that different application timings or rates could yield different results. Still, the message is clear: with responsible label-compliant pesticide use, native stingless bees can markedly boost coffee production while remaining healthy themselves, offering a practical template for sustainable intensification in the tropics.

Subject of Research: Crop pollination and pesticide risk assessment in Brazilian arabica coffee

Article Title: Stingless bees in coffee: yield gains and assessing neonicotinoid impact

Article References: Ramos, J. D., Santos, G. S., dos Santos, C. F., De Oliveira Kaminski, T. S., Cione, A. P., Alves, D. A., Quenzer, F. C. L., Campbell, A. J., Pereira, A. M., Thompson, H., Martins de Queiroz, A. C., Bento, J. M. S., & Menezes, C. (2026). Stingless bees in coffee: yield gains and assessing neonicotinoid impact. Frontiers in Bee Science, 3, Article 1644205. https://doi.org/10.3389/frbee.2025.1644205

Image Credits: AI Generated

DOI: 10.3389/frbee.2025.1644205

Keywords: stingless bees, Scaptotrigona depilis, coffee pollination, Coffea arabica, thiamethoxam, neonicotinoids, clothianidin, colony strength, Brazil, sustainable agriculture, crop yield, pesticide residues

The research, conducted during the 2022/2023 main cropping season, took place across two contrasting districts in Eastern Amhara: Dawa Cheffa in the South Wollo Zone and Ambasel in the Oromia Special Zone. These locations represent the major mung bean-growing agro-ecologies of the region, sitting at altitudes of 1,400 to 1,680 meters above sea level on vertisol soils. Cheffa receives roughly 850 millimeters of annual rainfall while Jari receives about 1,204.6 millimeters, providing a natural gradient of moisture conditions under which to test varietal performance. The study employed a participatory varietal selection approach, a methodology that deliberately places farmers at the center of the evaluation process rather than treating them as passive recipients of researcher decisions.

Four mung bean varieties entered the trials: three improved types released by Ethiopian agricultural research centers, namely Rasa (also designated N-26), NVL-01, and Boreda, alongside Shewa Robit, a widely grown local variety that served as the farmers’ familiar benchmark. The experimental design followed what researchers call the mother and baby trial approach. Mother trials, managed under strict scientific protocols at research sites, used a randomized complete block design with four replications, planting each variety in five-row plots of three meters with 0.4-meter row spacing and 5-centimeter plant spacing. Baby trials, conducted on farmers’ own fields with each farmer serving as a replication, used larger 25-square-meter plots of five by five meters. This dual structure allowed researchers to capture both statistically rigorous agronomic data and the messier, more nuanced realities of how varieties perform under actual farm conditions.

The combined analysis of variance revealed statistically significant differences among the varieties for every parameter measured, from days to flowering through days to maturity, plant height, pods per plant, seeds per pod, hundred seed weight, and ultimately grain yield. Rasa emerged as the clear agronomic leader, producing a mean seed yield of 1,731 kilograms per hectare across both locations. Boreda followed closely at 1,690 kilograms per hectare, a difference that, while numerically apparent, did not reach statistical significance. Both varieties substantially outperformed NVL-01, which yielded 1,225 kilograms per hectare, and the local check Shewa Robit, which produced only 1,020 kilograms per hectare. The yield gap between the best improved variety and the local landrace represents a potential 70 percent increase simply from switching varieties, a margin that could fundamentally alter household economics in the region.

Beyond raw yield, the physiological differences between varieties told an important story. Rasa and Boreda both achieved a hundred seed weight of 5.6 grams, significantly heavier than NVL-01 at 5.3 grams and Shewa Robit at just 3.7 grams. Heavier seeds generally correlate with better market acceptance and higher prices. Rasa also produced the most pods per plant at 15.12, followed by Boreda at 14.80, NVL-01 at 11.95, and Shewa Robit at 10.15. Seeds per pod followed the same hierarchy, with Rasa producing 11.70 seeds per pod compared to Shewa Robit’s 9.28. Plant height, which matters to farmers because taller plants produce more straw for animal feed, ranged from 55.27 centimeters in Rasa down to 51.32 centimeters in Shewa Robit, a statistically significant difference that farmers noted during their field evaluations.

Disease pressure emerged as one of the most decisive factors separating the varieties. Cercospora leaf spot and anthracnose, two of the most destructive mung bean pathogens in the region, ravaged the local Shewa Robit variety and, to a lesser extent, NVL-01. Shewa Robit recorded an anthracnose score of 3.5 on a five-point severity scale, the worst of any variety tested, while Rasa scored just 1.875, indicating substantially better tolerance. For farmers who have watched entire seasons decimated by disease, this difference alone justified switching. The study’s authors note that these diseases, along with yellow mosaic virus and dry root rot, continue to severely limit mung bean productivity across the region, making genetic resistance a top priority in any breeding or selection program.

The participatory component of the research revealed fascinating insights into what farmers actually value. A total of 39 farmers participated in the selection process across the two districts, including 19 male-headed and 4 female-headed households in Dawa Cheffa and 16 male-headed households in Ambasel, where no female participants were available. Through extensive group discussions, farmers established their own selection criteria, which included pod number, seed yield, earliness, seed size, seed color, marketability, disease resistance, drought tolerance, uniform maturity, and straw biomass. Using pairwise matrix ranking, farmers then prioritized these criteria. Disease resistance emerged as the single most important trait at both locations, followed by pod number as the second priority. Seed yield and seed color tied for third place, while straw biomass received the lowest ranking, a finding that surprised some researchers who had assumed fodder value would weigh more heavily in farmer decisions.

Direct matrix ranking then allowed farmers to score each variety against each criterion on a scale from one, meaning very good, to five, meaning extremely poor. The results were remarkably consistent across both districts. At Dawa Cheffa, Rasa received the lowest cumulative score of 79, indicating the highest preference, followed by Boreda at 81, Shewa Robit at 105, and NVL-01 at 125. At Ambasel, the pattern repeated almost identically: Rasa scored 65, Boreda 73, NVL-01 114, and Shewa Robit 128. The convergence of scientific yield data and farmer preference rankings on the same two varieties, Rasa and Boreda, represents a powerful validation of both the varieties themselves and the participatory methodology. When farmers and breeders agree, adoption barriers crumble.

Following the selection phase, the research team moved into a pre-scaling-up phase for Rasa, the variety that topped both the yield tables and the farmer preference rankings. Selected farmers received seeds of the chosen variety along with training on recommended seed production and management packages delivered by Sirinka Agricultural Research Center researchers. Development agents and woreda agricultural office experts also participated in the training sessions. A multidisciplinary team of researchers, policymakers, and agricultural experts conducted regular field inspections throughout the growing season, monitoring progress, troubleshooting problems, and advising on everything from land selection through harvest. This phased, hands-on approach to technology dissemination reflects a growing recognition within Ethiopian agricultural research that the gap between variety release and farmer adoption has historically been one of the weakest links in the innovation chain.

The implications of this study extend well beyond the borders of Eastern Amhara. Ethiopia currently produces mung bean on approximately 48,022 hectares nationally, yielding about 51,569 tons, with the Amhara region alone accounting for 68 percent of the national area and 72 percent of national productivity. Yet average yields of 1.073 tons per hectare nationally and 1.133 tons per hectare regionally remain far below the two tons per hectare achievable under experimental conditions. The study demonstrates that closing this gap requires not just better varieties but better processes for getting those varieties into farmers’ hands. By involving farmers directly in evaluation, the researchers accelerated adoption timelines and ensured that the traits farmers actually care about, particularly disease resistance and pod number, were not overlooked in favor of traits that breeders might prioritize in isolation. As climate variability intensifies across the Horn of Africa, the lessons from these Ethiopian mung bean fields offer a template for how participatory approaches can build more resilient and productive agricultural systems from the ground up.

Subject of Research: Participatory varietal selection of mung bean varieties in Eastern Amhara, Ethiopia

Article Title: Participatory selection of mung bean ( Vigna radiata L.) varieties in Eastern Amhara region, Ethiopia

Article References: Tefera, M., Kebede, G., & Haile, A. (2025). Participatory selection of mung bean (Vigna radiata L.) varieties in Eastern Amhara region, Ethiopia. Innovations in Agriculture, 8, 1-8. https://doi.org/10.3897/ia.2025.163481

Image Credits: AI Generated

DOI: 10.3897/ia.2025.163481

Keywords: mung bean, participatory varietal selection, Ethiopia, Amhara region, disease resistance, crop yield, smallholder farmers, Rasa variety, Boreda variety, drought tolerance, pulse crops, agricultural research

The research team, led by Khuram Mubeen of Muhammad Nawaz Shareef University of Agriculture in Multan, conducted field experiments over two winter growing seasons, 2019-20 and 2020-21, at two sites within the Mithawan flashy ephemeral stream-fed area of Punjab. This region belongs to a class of hydrological systems that hydrologists call flashy: flows rise and fall dramatically within hours, delivering pulses of water and fertile sediment that are either captured by fields or lost downstream. Because the water arrives without warning and cannot be stored reliably, farmers in these systems have historically practiced minimal land preparation, waiting for the flood to wet the soil before sowing chickpea, a cool-season legume that anchors food security and soil fertility across South Asia’s drylands.

To test whether pre-flood soil preparation could tip the odds in farmers’ favor, the team set up a randomized complete block design in split plots, replicated three times, comparing five pre-flood tillage treatments: moldboard plough, chisel plough, disc plough, cultivator, and the farmers’ conventional practice of leaving the land fallow. After each flood event, once the soil had drained to field capacity, plots received either a single pass with a cultivator or a combined cultivator and rotavator treatment. The researchers then tracked soil moisture at multiple depths, flood water productivity, chickpea seed yield, and the economic returns of each system across both seasons.

The results pointed unambiguously toward deep, non-inversion tillage. Plots that had been chisel ploughed before the flood and cultivated afterward with a cultivator alone recorded the highest soil moisture content, 23.95 percent in the top 15 centimeters of soil at the flowering stage, the period when chickpea plants are most sensitive to water stress. The same combination delivered the highest flood water productivity, 0.15 kilograms of grain per cubic meter of floodwater in the first year, and the highest seed yield, 1,528 kilograms per hectare, alongside a benefit-cost ratio of 2.2. Across the experiment, fields managed with the chisel plough produced 28.21 percent more chickpea seed than fields under the farmers’ practice.

The mechanism behind these gains is rooted in soil physics. A chisel plough breaks up compacted subsurface layers without inverting the soil profile, creating continuous macropores that act as infiltration highways when floodwater arrives. In contrast, a moldboard plough buries surface residue and creates a smeared plough pan that can impede deep percolation, while shallow cultivator passes leave the surface sealed and prone to crusting. By loosening the soil before the flood pulse, the chisel plough allowed more of the ephemeral flow to infiltrate and be stored within the root zone rather than running off across the field surface. The subsequent post-flood cultivation with a cultivator, or with a cultivator and rotavator combination, then broke the capillary channels near the surface, slowing evaporation and preserving the stored moisture for the developing crop.

Timing proved to be the critical variable. Because the soil was already loosened before the flood, it absorbed water rapidly during the brief window when the stream flowed, reaching field capacity uniformly across the profile. Farmers who waited until after the flood to begin tillage faced a different problem: working wet soil risks compaction and clodding, while delaying cultivation allows moisture to evaporate from an unprepared surface. The study’s split-plot design allowed the researchers to isolate these effects, showing that the pre-flood treatment set the ceiling for how much water the soil could capture, while the post-flood treatment determined how long that water stayed available to the crop.

The economic analysis reinforced the agronomic findings. The chisel plough plus cultivator system achieved a benefit-cost ratio of 2.2 in the first year, meaning every rupee invested returned more than double its value in chickpea grain. For smallholder farmers in semiarid regions, where a single failed crop can push a household into debt, such a margin matters. The researchers also evaluated the marginal rate of return across treatments, confirming that the additional cost of hiring a chisel plough before the flood season was outweighed by the yield gains it unlocked. Notably, the combination of chisel ploughing followed by either a cultivator alone or a cultivator-rotavator sequence produced the maximum chickpea and flood water productivity under the flashy, flood-irrigated conditions of the trial.

Beyond the immediate yield numbers, the authors frame the work as a contribution to climate resilience. Semiarid regions across the Middle East, North Africa, and South Asia face intensifying rainfall variability, with precipitation increasingly concentrated into fewer, more violent events. Ephemeral stream systems, which depend entirely on these sporadic pulses, are among the most vulnerable agricultural niches on Earth. The study suggests that deep tillage paired with strip cropping of legumes such as chickpea could reduce the damage caused by flashy flows, converting what is often a destructive flood event into a productive irrigation event. By improving infiltration, deep tillage also reduces the velocity and erosive energy of floodwater as it crosses a field, offering a secondary benefit for soil conservation.

The findings carry practical weight for extension services and development programs working in flood-fed farming systems from the Sulaiman Range foothills of Pakistan to the wadis of the Arabian Peninsula and the Sahel. Because the recommended practice relies on equipment, a chisel plough and a cultivator, that many smallholders already access through custom-hire services, adoption barriers are relatively low compared with capital-intensive water harvesting infrastructure. The researchers emphasize that the approach fits within the broader framework of climate-smart tillage, a set of practices designed to conserve soil moisture, sustain productivity, and buffer crops against the erratic hydrology that climate change is amplifying across the world’s drylands.

As global demand for chickpea continues to rise and arable water resources grow scarcer, the study offers a reminder that sometimes the most powerful climate adaptation is not a new technology but a change in the order of operations. Preparing the soil before the water arrives, rather than after, transforms a fleeting flood pulse into a season-long water reserve, and turns one of agriculture’s most unpredictable water sources into a more dependable partner for the farmers who depend on it.

Subject of Research: Effect of pre-flood tillage practices on soil water storage and chickpea productivity in ephemeral stream-fed semiarid cropping systems

Article Title: Strategic pre‑flood tillage improves soil water storage and chickpea yield under ephemeral stream influence in semiarid environments

Article References: Mubeen, K., Asif, M., Sarwar, N., Wasaya, A., Yasir, T. A., Ahmad, M., Skalicky, M., Habib-ur-Rahman, M., Al-Ashkar, I., Ahmad, G., Arshad, A., & El Sabagh, A. (2026). Strategic pre‑flood tillage improves soil water storage and chickpea yield under ephemeral stream influence in semiarid environments. BMC Plant Biology. https://doi.org/10.1186/s12870-026-10063-1

Image Credits: AI Generated

DOI: 10.1186/s12870-026-10063-1

Keywords: chickpea, tillage, ephemeral streams, soil water storage, floodwater harvesting, semiarid agriculture, climate-smart agriculture, Pakistan, moisture conservation, flood irrigation, crop yield, drought resilience