<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>blueberries &#8211; Science</title>
	<atom:link href="https://scienmag.com/tag/blueberries/feed/" rel="self" type="application/rss+xml" />
	<link>https://scienmag.com</link>
	<description></description>
	<lastBuildDate>Fri, 09 Oct 2026 21:47:59 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1.3</generator>

<image>
	<url>https://scienmag.com/wp-content/uploads/2024/07/cropped-scienmag_ico-32x32.jpg</url>
	<title>blueberries &#8211; Science</title>
	<link>https://scienmag.com</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">73899611</site>	<item>
		<title>Machine Learning Reveals How Organic Fertilizer Ratios Shape Blueberry Fruit Quality Through Soil</title>
		<link>https://scienmag.com/machine-learning-reveals-how-organic-fertilizer-ratios-shape-blueberry-fruit-quality-through-soil/</link>
		
		<dc:creator><![CDATA[Teresa Odom]]></dc:creator>
		<pubDate>Fri, 09 Oct 2026 21:47:59 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[anthocyanins]]></category>
		<category><![CDATA[blueberries]]></category>
		<category><![CDATA[Blueberry fruit quality]]></category>
		<category><![CDATA[blueberry soil chemistry]]></category>
		<category><![CDATA[data-driven blueberry cultivation strategies]]></category>
		<category><![CDATA[fruit quality]]></category>
		<category><![CDATA[machine learning in agriculture]]></category>
		<category><![CDATA[nitrate nitrogen]]></category>
		<category><![CDATA[organic amendments and fruit nutrition]]></category>
		<category><![CDATA[Organic fertilization]]></category>
		<category><![CDATA[organic fertilizer optimization]]></category>
		<category><![CDATA[organic fertilizer ratios for superfoods]]></category>
		<category><![CDATA[organic manure effects on berry antioxidants]]></category>
		<category><![CDATA[Random Forest]]></category>
		<category><![CDATA[rhizosphere]]></category>
		<category><![CDATA[ripening sugar accumulation in blueberries]]></category>
		<category><![CDATA[SHAP]]></category>
		<category><![CDATA[soil acidity and blueberry growth]]></category>
		<category><![CDATA[soil microbial activity in blueberry cultivation]]></category>
		<category><![CDATA[soil organic matter]]></category>
		<category><![CDATA[soil organic matter influence]]></category>
		<category><![CDATA[soil pH]]></category>
		<category><![CDATA[structural equation modeling]]></category>
		<category><![CDATA[TOPSIS]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=256086</guid>

					<description><![CDATA[An interpretable machine learning framework shows that high-dose organic fertilization, especially pig manure, improves blueberry fruit quality through rhizosphere pH and moisture while excessive bulk-soil nitrate undermines it.]]></description>
										<content:encoded><![CDATA[<p>Blueberries have become one of the world&#8217;s most coveted superfoods, prized for their dense load of anthocyanins, polyphenols, and flavonoids. Yet the shallow-rooted, acid-loving shrub is notoriously finicky, demanding acidic soils rich in organic matter and exquisitely sensitive to water and salinity stress. Now a team of Chinese researchers has combined a painstaking pot experiment with interpretable machine learning to answer a deceptively simple question: which organic fertilizer recipes actually make blueberries better, and which soil conditions are doing the work? The study, published in Plant and Soil, offers one of the most systematic data-driven assessments to date of how organic amendments regulate fruit quality through the hidden chemistry of the rhizosphere.</p>
<p>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 &#8217;42&#8217; (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.</p>
<p>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&#8217;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.</p>
<p>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.</p>
<p>To convert this multidimensional trait space into a single verdict, the researchers built an integrated analytical pipeline that is arguably the study&#8217;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.</p>
<p>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.</p>
<p>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&#8217;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.</p>
<p>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.</p>
<p>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.</p>
<p>The study&#8217;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.</p>
<p><strong>Subject of Research:</strong> Effects of organic fertilizer ratios on blueberry fruit quality mediated by rhizosphere and bulk soil properties, analyzed with interpretable machine learning</p>
<p><strong>Article Title:</strong> Soil-driven mechanisms of organic fertilizer ratios regulating blueberry fruit quality: A comprehensive evaluation based on interpretable machine learning</p>
<p><strong>Article References:</strong> Lei, K., Chen, R., Li, C., &amp; Yang, H. (2026). Soil-driven mechanisms of organic fertilizer ratios regulating blueberry fruit quality: A comprehensive evaluation based on interpretable machine learning. <em>Plant and Soil</em>. <a href="https://doi.org/10.1007/s11104-026-08913-w" rel="noopener noreferrer">https://doi.org/10.1007/s11104-026-08913-w</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s11104-026-08913-w" rel="noopener noreferrer">10.1007/s11104-026-08913-w</a></p>
<p><strong>Keywords:</strong> blueberries, organic fertilization, fruit quality, rhizosphere, soil pH, nitrate nitrogen, anthocyanins, random forest, SHAP, TOPSIS, structural equation modeling, soil organic matter</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">256086</post-id>	</item>
		<item>
		<title>Zapping Roots and Adding Bacteria Boosts Blueberry Size and Color in Field Trial</title>
		<link>https://scienmag.com/zapping-roots-and-adding-bacteria-boosts-blueberry-size-and-color-in-field-trial/</link>
		
		<dc:creator><![CDATA[Alan Morgan]]></dc:creator>
		<pubDate>Thu, 01 Oct 2026 12:08:41 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[agritech innovations in berry production]]></category>
		<category><![CDATA[anthocyanins]]></category>
		<category><![CDATA[beneficial bacteria in agriculture]]></category>
		<category><![CDATA[biostimulants]]></category>
		<category><![CDATA[blueberries]]></category>
		<category><![CDATA[Blueberry crop enhancement]]></category>
		<category><![CDATA[CIATEJ and CIDETEQ agricultural research]]></category>
		<category><![CDATA[combined microbial and electrical crop treatments]]></category>
		<category><![CDATA[electric field plant stimulation]]></category>
		<category><![CDATA[electrical stimulation]]></category>
		<category><![CDATA[electroculture in fruit cultivation]]></category>
		<category><![CDATA[electromigration]]></category>
		<category><![CDATA[electroosmosis]]></category>
		<category><![CDATA[field trial blueberry size improvement]]></category>
		<category><![CDATA[fruit quality]]></category>
		<category><![CDATA[impact of electric currents on plant color]]></category>
		<category><![CDATA[plant growth-promoting bacteria]]></category>
		<category><![CDATA[plant growth-promoting bacteria strains]]></category>
		<category><![CDATA[Pseudomonas]]></category>
		<category><![CDATA[rhizosphere]]></category>
		<category><![CDATA[semihydroponics]]></category>
		<category><![CDATA[soil microbiome and plant growth]]></category>
		<category><![CDATA[sustainable agriculture]]></category>
		<category><![CDATA[sustainable blueberry farming techniques]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=222570</guid>

					<description><![CDATA[A Mexican field trial found that combining low-intensity electric fields with plant growth-promoting bacteria increased blueberry yields by eleven percent and significantly improved fruit color and size in a semihydroponic system.]]></description>
										<content:encoded><![CDATA[<p>In a commercial greenhouse tunnel in Zapopan, Jalisco, Mexico, rows of two-year-old highbush blueberry plants grew in bags of coconut coir and wood chips, their roots threaded through an acidic, carefully aerated substrate. What made this ordinary-looking crop extraordinary was the hardware: titanium cathodes and mixed-metal-oxide anodes arranged in a triangular lattice around each root crown, delivering a gentle direct-current field of 0.2 volts per centimeter into the growing medium. Alongside the electrodes, a liquid consortium of plant growth-promoting bacteria—strains of Pseudomonas and Shimwellia deposited under ATCC record PTA-122530—was flushed through the irrigation lines at a concentration of 1.2 billion cells per milliliter. The experiment, conducted by researchers from CIATEJ, CIDETEQ, and the commercial grower AgriTrop and published in Discover Agriculture, set out to answer a question that has barely been asked before: what happens when you combine electricity and beneficial microbes in the same crop?</p>
<p>The rationale for pairing the two interventions rests on well-characterized but previously separate bodies of evidence. Electrical stimulation of plants has a long, checkered history, stretching back to nineteenth-century electroculture experiments that produced inconsistent results because power delivery could not be controlled precisely. Modern bioelectronics has changed that picture. When a low-intensity electric field is applied to soil or substrate, three transport phenomena come into play: electromigration, which accelerates the movement of mineral cations and anions toward the root absorption zone; electroosmosis, which alters the hydraulic conductivity of the substrate and evens out moisture and nutrient fluxes; and electrophoresis, which can mobilize charged particles, including bacterial cells. At the cellular level, these forces appear to trigger a mild, controlled stress response. Studies cited by the team report upregulation of antioxidant enzyme cascades, induction of heat-shock proteins, activation of membrane-bound H⁺-ATPases, and increased plasma membrane permeability, all of which can accelerate metabolism, photosynthetic efficiency, and nutrient uptake. In one striking recent demonstration, a bioelectronic cellulose-based growth scaffold delivering low-voltage current to seedling roots increased vegetative dry weight by up to fifty percent within two weeks, apparently by enhancing nitrogen metabolism and transcription factors governing root elongation.</p>
<p>Biological stimulation works through an entirely different but complementary toolkit. Plant growth-promoting bacteria benefit their hosts directly by synthesizing phytohormones, most notably indole-3-acetic acid, which stimulates root hair proliferation and expands the functional surface area available for water and nutrient uptake. They also solubilize recalcitrant mineral forms of phosphorus and potassium, fix atmospheric nitrogen, and produce iron-chelating siderophores. Indirectly, they can induce systemic resistance, priming the plant&#8217;s own biochemical defenses against drought, heat, and pathogens. The Mexican team hypothesized that a precisely calibrated electric field could serve a dual purpose: physically driving the bacterial inoculant toward the root zone through electroosmotic flow and electrophoresis, while simultaneously priming the plant&#8217;s ion transporters to make the most of the microbial nutrient packages once they arrived. If correct, the combination should outperform either intervention alone.</p>
<p>To test this, the researchers ran a unifactorial field design with 125 plants divided into five groups of twenty-five: an untreated control, electrical stimulation alone, biological stimulation alone, and two sequential combinations—electricity followed by bacteria, and bacteria followed by electricity. Treatments were synchronized to three critical phenological stages: pre-flowering in October 2021, fruit set and filling in January 2022, and the onset of commercial harvest in May 2022. Each electrical exposure lasted four hours per stage, delivered through the triangular electrode matrix mirrored on both sides of the root system to guarantee homogeneous field coverage. The bacterial inoculant was applied at a dosage equivalent to just five liters per hectare, a fraction of the ninety to 450 liters per hectare reported in earlier berry trials that relied on microbes alone. Repeated measurements of yield, fruit count, floral buds, structural fruiting twigs, flower-to-fruit conversion, and chlorophyll index were analyzed with generalized linear mixed models, while single-time-point quality metrics were assessed with ANOVA and nonparametric tests.</p>
<p>The headline result came from the sequential treatment in which electricity preceded the bacterial application. Over an eleven-week harvest window, those plants produced a cumulative yield of 1,387 grams per plant, an eleven percent increase over the untreated control&#8217;s 1,249 grams. Electrical stimulation alone, by contrast, yielded the lowest output at 1,173 grams per plant, a six percent reduction against the control—evidence that the current, applied without a biological buffer, may induce localized micro-polarization or small zones of substrate depletion under the stringent acidic conditions, pH 4.5 to 5.5, that blueberries demand. Neither yield difference reached statistical significance, and the models showed that time, not treatment, was the dominant factor driving the measured variables. But the pattern was consistent and mechanistically coherent: the electric field appeared to enhance the electroosmotic transport of the liquid inoculant through the coir and wood-chip substrate, accelerating the chemotaxis and spatial spread of the bacteria through the rhizosphere, where their hormone production and nutrient solubilization could take full advantage of the electromigration-concentrated minerals.</p>
<p>Perhaps the most commercially telling finding concerned fruit size rather than total tonnage. The control and electrically stimulated plants produced mostly smaller berries, with the two smallest diameter categories—under 12 millimeters and 13 to 15 millimeters—accounting for 63 percent of the control yield and 64 percent of the electrically stimulated yield. The sequential electricity-then-bacteria treatment flipped that distribution, achieving the highest proportion of large berries in the premium 16-to-18-millimeter class at 33.7 percent while cutting the small-fruit fraction to 19.3 percent. The reverse-sequencing and bacteria-only groups performed similarly, keeping small berries below 19 percent and concentrating roughly 60 to 64 percent of their yield in the medium and large tiers. All treatments held a stable ten percent of jumbo berries above 19 millimeters, except electricity alone, which slipped to eight percent. The researchers interpret this as a shift in resource allocation: instead of initiating a larger number of smaller, carbohydrate-deficient fruits, the stimulated plants redirected metabolic energy into maximizing the volumetric growth of existing fruits, likely through upregulated membrane transporters that let individual berries accumulate more water and photoassimilates during the critical filling phase.</p>
<p>Color, the quality trait most tightly linked to anthocyanin content and consumer appeal, responded most robustly of all. Using a Konica Minolta spectrophotometer, the team measured lightness, the chromatic index, the Hue angle, and the overall color difference from the control baseline. Electrical stimulation alone produced the brightest fruit, with the highest lightness value of 27.10 and the highest chromatic index at 4.16. The bacteria-then-electricity sequence achieved the highest Hue angle at 256.34 degrees, significantly different from the control&#8217;s 251.20 degrees. Most strikingly, the electricity-then-bacteria treatment posted a total color divergence of 3.53, a statistically significant shift away from the control. Because blueberry color is conferred by anthocyanins—the flavonoid pigments responsible for the fruit&#8217;s celebrated antioxidant activity—these results suggest the mild, controlled stress imposed by the electric field upregulated the phenylpropanoid pathway, accelerating pigment accumulation in the fruit skin and producing berries that are brighter, more uniformly saturated, and potentially richer in health-promoting compounds.</p>
<p>Not every metric moved, and the authors are candid about the boundaries of their results. Sugar accumulation, measured as degrees Brix, stayed within an excellent commercial range of 13.4 to 14.7 across all groups, with the control actually posting the highest value at 14.7, significantly above only the bacteria-then-electricity treatment at 13.5. The team attributes this localized dip to a dilution effect: plants producing larger fruits spread their sugars across a greater tissue volume. Mechanical firmness, measured by compression testing with a TA.XT.plus analyzer, showed no significant differences among treatments, remaining stable at roughly 2.05 to 2.14 newtons for both small and large berries. That stability is good news in itself, because it demonstrates that neither the electrical currents nor the microbial inoculants disrupted the pectin matrix or cell wall integrity that governs shelf life and transport tolerance. Early-season measurements told a similarly nuanced story: bacteria alone achieved the highest flower-to-fruit conversion efficiency at 89.5 percent and the top chlorophyll index at 14.1, while the bacteria-then-electricity group produced an average of 53 fruiting twigs per plant against the control&#8217;s 40 to 47, the only variable significantly modified by treatment alone.</p>
<p>The study&#8217;s limitations are as instructive as its successes. With only four intensively monitored plants per treatment in a single growing season, the statistical power to detect differences in highly variable cumulative traits like yield was inherently limited, even as biochemically regulated traits like colorimetry achieved significance. The authors acknowledge that multi-season trials with expanded plant cohorts are needed before the eleven percent yield trend can be confirmed for commercial deployment, and that no formal sensory evaluations were conducted to verify whether the color and size improvements translate into consumer preference. Still, the efficiency argument is compelling. Earlier berry studies that achieved larger yield gains—55.9 percent in strawberries, 27 to 29 percent in blueberries with mycorrhizal biostimulants—required inoculum volumes of 90 to 450 liters per hectare, whereas this integrated bio-electric approach reached its result with just five. If subsequent trials bear out the trend, the implication is that a modest, precisely timed electric field can dramatically reduce the biological inputs needed for premium berry production, offering growers a zero-residue, physically driven lever in an industry under pressure to abandon chemical-intensive practices. For now, the Zapopan experiment stands as a proof of concept that the rhizosphere can be engineered with electrons as deliberately as with microbes—a small current, in every sense, with potentially outsized consequences for sustainable agriculture.</p>
<p><strong>Subject of Research:</strong> Combined electrical and biological stimulation of blueberry production in a semihydroponic system</p>
<p><strong>Article Title:</strong> Electrical and biological stimulation of blueberry production using semihydroponic system</p>
<p><strong>Article References:</strong> Barrera-Martínez, I., García-García, G., González-Serrano, D. L., Noguerón-Hernández, F. J., Morales-Martinez, J. C., Contreras-Ramos, S. M., &amp; Bustos-Bustos, E. (2026). Electrical and biological stimulation of blueberry production using semihydroponic system. <em>Discover Agriculture, 4</em>(1), Article 300. <a href="https://doi.org/10.1007/s44279-026-00775-1" rel="noopener noreferrer">https://doi.org/10.1007/s44279-026-00775-1</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44279-026-00775-1" rel="noopener noreferrer">10.1007/s44279-026-00775-1</a></p>
<p><strong>Keywords:</strong> blueberries, electrical stimulation, plant growth-promoting bacteria, semihydroponics, electromigration, electroosmosis, anthocyanins, fruit quality, sustainable agriculture, biostimulants, rhizosphere, Pseudomonas</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">222570</post-id>	</item>
	</channel>
</rss>
