{"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}