{"title":"Correction to “Machine learning-based prediction of cereal rye cover crop biomass across diverse agroecosystems”","authors":"","doi":"10.1002/ael2.70060","DOIUrl":"https://doi.org/10.1002/ael2.70060","url":null,"abstract":"<p>Ghimire, U., Mitra, A., Fleisher, D., Park, J., Barnaby, J. Y., Kim, Y., & Han, E. (2026). Machine learning-based prediction of cereal rye cover crop biomass across diverse agroecosystems. <i>Agricultural & Environmental Letters</i>, <i>11</i>, e70055. https://doi.org/10.1002/ael2.70055</p><p>The middle initial for co-author Jinyoung Y. Barnaby was incorrectly displayed as Jinyoung E. Barnaby. This has now been corrected in the author byline, Author Contributions, ORCID list, and How to Cite section.</p><p>We apologize for this error.</p>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":"11 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.70060","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146193654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chunhwa Jang, Leo Hoffmann Jr., Maria Villamil, William Rooney, DoKyoung Lee
{"title":"Nitrogen dynamics and physiological N use efficiency in high-biomass sorghum","authors":"Chunhwa Jang, Leo Hoffmann Jr., Maria Villamil, William Rooney, DoKyoung Lee","doi":"10.1002/ael2.70058","DOIUrl":"https://doi.org/10.1002/ael2.70058","url":null,"abstract":"<p>Improving nitrogen (N) efficiency is essential for sustainable high-biomass sorghum (<i>Sorghum bicolor</i> L. Moench) production. This study evaluated leaf and stem N dynamics, canopy N remobilization, and physiological nitrogen use efficiency (pNUE) in two photoperiod-sensitive sorghum hybrids under two N rates (0 and 168 kg-N ha<sup>−1</sup>) across multiple environments in Texas and Illinois. Leaf N concentrations increased with plant height in the canopy with steeper gradients under low-N conditions, indicating enhanced N remobilization when N is limited. Stem tissue showed less variation in N concentration across canopy nodal positions, with within-plant differences ranging from 1.2 to 7.6 g kg<sup>−1</sup>, compared to 3.1 to 16.3 g kg<sup>−1</sup> in leaves. While pNUE was generally higher under unfertilized conditions, it varied largely by site; however, genotypic differences were minimal within the given year. These results highlight the importance of integrating environmental and management factors into breeding and fertilization strategies to enhance N efficiency in high-biomass sorghum.</p>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":"11 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.70058","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146199456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kaitlin Gattoni, Meredith Mann, Christine D. Sprunger
{"title":"Which indicators are most effective at detecting rapid shifts in soil health?","authors":"Kaitlin Gattoni, Meredith Mann, Christine D. Sprunger","doi":"10.1002/ael2.70056","DOIUrl":"https://doi.org/10.1002/ael2.70056","url":null,"abstract":"<p>Farmers are showing a growing interest in soil health. Therefore, it is necessary to understand how and when indicators respond to changes in land management. Measurements of soil carbon (C) and nitrogen can take up to a decade to shift. However, it is unknown how other biotic markers of soil health (i.e., nematode communities) react. Here we use the long-term agroecosystem research trial at the W. K. Kellogg Biological Station to determine which biotic indicators respond first to the implementation of sustainable agricultural management. High-diversity perennial forage and native prairie had higher nematode abundances compared to monoculture crops with perennial forage also being compositionally distinct. Additionally, nematode abundance was higher in the aspirational corn (<i>Zea mays</i>) treatment than conventionally managed corn (<i>p </i>< 0.05). Mineralizable carbon (minC) was marginally greater in high plant diversity treatments (<i>p </i>< 0.1). Overall, nematode abundance, in combination with incremental changes in labile C, are indicators of rapid shifts in soil health.</p>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":"11 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.70056","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146197003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Toward crop variety recommender systems","authors":"David Brown","doi":"10.1002/ael2.70057","DOIUrl":"https://doi.org/10.1002/ael2.70057","url":null,"abstract":"<p>Choosing an optimal crop variety to plant is one of the most important decisions faced by farmers. Nowadays, recommender systems are almost ubiquitous in several human activities, except in agriculture, and more deeply absent in crop variety decision-making. This commentary presents the potential applications of crop variety recommender systems, describing the elements required for their implementation and adoption, and proposing new research areas to address the major research gaps. This work aims to motivate the scientific community at the intersection of agriculture, environmental science, data science, digital technologies, and computer science to work toward the development and application of recommender systems to support crop variety decision-making.</p>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":"11 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.70057","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146096489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Utsab Ghimire, Alakananda Mitra, David Fleisher, John Park, Jinyoung E. Barnaby, Yonghyun Kim, Eunjin Han
{"title":"Machine learning-based prediction of cereal rye cover crop biomass across diverse agroecosystems","authors":"Utsab Ghimire, Alakananda Mitra, David Fleisher, John Park, Jinyoung E. Barnaby, Yonghyun Kim, Eunjin Han","doi":"10.1002/ael2.70055","DOIUrl":"https://doi.org/10.1002/ael2.70055","url":null,"abstract":"<p>Accurate operational predictions of cereal rye (<i>Secale cereale</i> L.) biomass are critical for quantifying the agroecosystem services provided by cover crops and for guiding growers’ management decisions for subsequent cash crops. In this study, we developed machine learning-based biomass prediction models using two advanced gradient-boosted tree algorithms, CatBoost and XGBoost. A comprehensive dataset comprising cereal rye biomass and management information from 24 U.S. states, combined with soil and weather data, were used to train the models. Models relying solely on early spring weather inputs achieved moderate predictive skill (<i>R</i><sup>2</sup> ≈ 0.74). Incorporating later-season weather data modestly improved mid-season fits but led to overfitting in late-spring predictions. Extending CatBoost to quantile regression enabled estimation of 10%–90% prediction intervals with moderate pinball loss. Overall, our findings demonstrate that publicly available soil and weather data, supplemented with limited management inputs, can support interpretable, uncertainty-aware biomass predictions suitable for optimal cover crop management.</p>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":"11 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.70055","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145963947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ellayna J. LaFond, Katherine A. Dynarski, Samia Hamati, Brian J. Darby, Kathryn A. Yurkonis, Ekundayo Adeleke, Ryan C. Hodges, Skye Wills, Tiffany L. Carter
{"title":"Soil physical properties affect nematode counts in the Barnes soil series","authors":"Ellayna J. LaFond, Katherine A. Dynarski, Samia Hamati, Brian J. Darby, Kathryn A. Yurkonis, Ekundayo Adeleke, Ryan C. Hodges, Skye Wills, Tiffany L. Carter","doi":"10.1002/ael2.70052","DOIUrl":"https://doi.org/10.1002/ael2.70052","url":null,"abstract":"<p>Nematodes are important in soil food webs and are being considered in soil health frameworks. We evaluated nematode counts as a potentially rapid measure of land use effects on soil biology in a benchmark Mollisol. We assessed pedons (0–120 cm) from conventional, no-till, and grassland fields in eastern North Dakota in October 2022. Although bulk density was 25% higher at 5–10 cm and aggregate stability was 36% lower (0–5 and 5–10 cm) in conventional versus grassland fields, land use did not affect nematode counts above 20 cm (288–2498 100 g<sup>−1</sup> dry soil). Land use did mitigate nematode responses to soil properties. Nematodes more than doubled with increasing aggregate stability in no-till and grassland samples and were reduced by a third with increasing bulk density in grassland samples. Although nematode counts per se are not useful for assessing land use effects, soil properties can be used to predict nematode numbers in the series.</p>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":"11 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.70052","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145969699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Co-produced agricultural research can provide value for communities while building trust and public support for science","authors":"Alison J. Duff, Hailey Wilmer, Jules Reynolds","doi":"10.1002/ael2.70053","DOIUrl":"https://doi.org/10.1002/ael2.70053","url":null,"abstract":"<p>Agricultural systems are vulnerable to extreme weather, market volatility, and changing socio-cultural contexts. Despite efforts to create transformational solutions in agriculture to ensure economic, social, and environmental sustainability, there is often a disconnect between research findings and real-world experience. Co-production is a collaborative process that engages farmers, ranchers, and other community members as equals in research design and implementation, incorporates diverse knowledges, and includes community members as research decision-makers. While co-production requires more time, trust, and institutional support, it offers greater research impact and increased public support for science as a problem-solving tool. We share three case studies from our own research, and an introduction to the literature featuring best practices, to illustrate pathways for integrating co-production in research programs.</p>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":"11 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.70053","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145842990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kelly R. Wilson, Tanner O. Rankin, Jordon Wade, Timothy Haithcoat, Jenny Melo-Velasco, Olivia Caillouet, Donna Brandt, Catherine Brockert
{"title":"Turning numbers into knowledge: Farmer-preferred approaches for soil health reporting","authors":"Kelly R. Wilson, Tanner O. Rankin, Jordon Wade, Timothy Haithcoat, Jenny Melo-Velasco, Olivia Caillouet, Donna Brandt, Catherine Brockert","doi":"10.1002/ael2.70048","DOIUrl":"10.1002/ael2.70048","url":null,"abstract":"<p>Many soil health indicators have been developed by researchers to aid farmer decision-making yet rarely incorporate farmer preferences in the presentation of that data. To fill this gap, we conducted focus groups with Midwestern row crop farmers to elicit the characteristics they want to translate data from soil health indicators into useable information that inform management decisions. Farmers were interested in the potential economic and conservation benefits of soil health, but current soil health report outputs are difficult to understand and put in practice. Farmers wanted clear management guidance that is tailored to their specific edaphic context. While they expressed ambivalence about specific indicators, they wanted to understand a full picture of their soil health. Moreover, they expressed interest in using the information to both affirm current management practices and adopt future practices. Findings suggest that improved alignment of current research questions with stakeholder needs can help harness the potential of soil health.</p>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":"10 2","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.70048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145824515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rethinking percentage-based approaches for edge-of-field practice design flow rates","authors":"L. E. Christianson, R. D. Christianson, C. H. Hay","doi":"10.1002/ael2.70051","DOIUrl":"10.1002/ael2.70051","url":null,"abstract":"<div>\u0000 \u0000 <section>\u0000 \u0000 \u0000 <p>Additional flexibility in the design of edge-of-field conservation practices may help scale their implementation. Subsurface drainage flow data from fields ranging from 6.9 to 29 ha in Illinois (25 site-years) were used to assess design paradigms for denitrifying bioreactors. Implementing bioreactors at larger areas (e.g., > 20 ha vs. < 10 ha) could facilitate treatment of relatively greater flow volumes, and thus greater nutrient loads, even if a notable portion of the annual flow bypasses treatment. For example, a hypothetical bioreactor design flow rate of approximately 1.8 L/s resulted in mean treatment of 40,600 versus 15,300 m<sup>3</sup>/year at large versus small sites assessed here. This flow rate corresponded to 5% versus 50% non-exceedance probabilities, respectively, meaning the design for the large drainage area would not meet current design expectations of 15%. Treatment of greater flow volumes at relatively larger sites challenges the idea that treating the majority of annual flow is inherently necessary, especially where watershed goals are based on overall load reduction.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Core Ideas</h3>\u0000 \u0000 <div>\u0000 <ul>\u0000 \u0000 <li>Subsurface drainage flow data were used to assess edge-of-field conservation practice design procedures.</li>\u0000 \u0000 <li>Flow volume and flow rate trends differed between small versus large drainage areas.</li>\u0000 \u0000 <li>Using similar design flow rates, more flow could be treated at larger versus smaller sites, despite much bypass flow.</li>\u0000 \u0000 <li>A design proxy flow rate showed bioreactors on larger systems better utilized the full bioreactor capacity.</li>\u0000 \u0000 <li>Practices need to be as effective as practical at the site level while also removing as much load as possible.</li>\u0000 </ul>\u0000 </div>\u0000 </section>\u0000 </div>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":"10 2","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.70051","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145824514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jesen R. Hosch, Steve Levitsky, Taylor Strehl, Pauline Welikhe, Zachary P. Sanders, Charles M. White
{"title":"RhizoSorb active ingredient reduces water-extractable soil phosphorus following poultry litter applications","authors":"Jesen R. Hosch, Steve Levitsky, Taylor Strehl, Pauline Welikhe, Zachary P. Sanders, Charles M. White","doi":"10.1002/ael2.70046","DOIUrl":"https://doi.org/10.1002/ael2.70046","url":null,"abstract":"<p>Manure applications can be a source of phosphorus (P) in runoff. This study evaluated whether RhizoSorb, a modified aluminum oxide soil amendment, could reduce water-extractable P (WEP) in the 0- to 7.5-cm soil depth after poultry litter applications. RhizoSorb was applied once at the beginning of the experiment at three rates followed by 3 years of poultry litter applied at three rates in split-plots of each RhizoSorb rate. Poultry litter applications increased the WEP of soil sampled in the fall of each year, with P concentration increasing as a function of litter application rate and years of application. RhizoSorb decreased WEP between 26% and 53% in the first and second year of the study. These results suggest that RhizoSorb may have potential to reduce soluble P losses from poultry litter applications, but further research to measure P losses from in situ runoff is necessary for confirmation.</p>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":"10 2","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.70046","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145824513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}