Agricultural & Environmental Letters最新文献_第10页

Agricultural extension and advisory services strategies during COVID-19 lockdown 2019冠状病毒病封锁期间的农业推广和咨询服务战略

IF 2.6 4区农林科学

Agricultural & Environmental Letters Pub Date : 2021-10-22 DOI: 10.1002/ael2.20056

Anthony Baffoe-Bonnie, David Tanner Martin, Frank Mrema

引用次数: 3

The Partnerships for Data Innovations (PDI): Facilitating data stewardship and catalyzing research engagement in the digital age 数据创新伙伴关系(PDI):促进数字时代的数据管理和促进研究参与

IF 2.6 4区农林科学

Agricultural & Environmental Letters Pub Date : 2021-10-07 DOI: 10.1002/ael2.20055

R. Daren Harmel, Peter Kleinman, Marlen Eve, James A. Ippolito, Sarah Beebout, Jorge Delgado, Bruce Vandenberg, Mike Buser

{"title":"The Partnerships for Data Innovations (PDI): Facilitating data stewardship and catalyzing research engagement in the digital age","authors":"R. Daren Harmel, Peter Kleinman, Marlen Eve, James A. Ippolito, Sarah Beebout, Jorge Delgado, Bruce Vandenberg, Mike Buser","doi":"10.1002/ael2.20055","DOIUrl":"10.1002/ael2.20055","url":null,"abstract":"For agricultural research to seize the potential of data-driven technologies, profound changes are needed in the full spectrum of data management, highlighted by a shift of researchers, institutions, and agencies toward a culture of data stewardship. The USDA-ARS established the Partnerships for Data Innovations (PDI) in 2019 to achieve this transformation from within. From the onset, PDI has integrated its customer–partners in developing and implementing state-of-the-art digital tools, leveraging off-the-shelf technologies when advantageous. In its short life, PDI has transformed more than 100 projects, from projects catalyzing collaborative efforts and underpinning information management to those salvaging end-of-life data repositories. Empowered by this active inclusive partnership and through sharing digital solutions on a “Digital Research Workbench” within the ARS Agricultural Collaborative Research Outcomes System infrastructure, PDI hopes to accelerate agricultural research through standardization, automation, and integration and to help usher in a culture of digital age data stewardship.","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":"6 4","pages":""},"PeriodicalIF":2.6,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.20055","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43141679","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}

引用次数: 3

Laboratory and greenhouse evaluation of four iron fertilizer sources 四种铁肥源的实验室和温室评价

IF 2.6 4区农林科学

Agricultural & Environmental Letters Pub Date : 2021-10-05 DOI: 10.1002/ael2.20052

R. Jay Goos

引用次数: 0

The Agricultural Conservation Planning Framework: Opportunities and challenges in the eastern United States 农业保护规划框架:美国东部的机遇与挑战

IF 2.6 4区农林科学

Agricultural & Environmental Letters Pub Date : 2021-09-14 DOI: 10.1002/ael2.20054

Jonathan M. Duncan, Zachary Respess, William Ryan, Robert Austin, Matthew Royer, Deanna Osmond, Peter Kleinman

引用次数: 1

Benefits of alfalfa interseeding include reduced residual soil nitrate following corn production 苜蓿间种的好处包括减少玉米生产后残留的土壤硝酸盐

IF 2.6 4区农林科学

Agricultural & Environmental Letters Pub Date : 2021-09-08 DOI: 10.1002/ael2.20053

William Osterholz, Matthew D. Ruark, Mark Renz, John H. Grabber

引用次数: 6

Rapid and inexpensive assessment of soil total iron using Nix Pro color sensor 快速和廉价的评估土壤总铁使用Nix Pro颜色传感器

IF 2.6 4区农林科学

Agricultural & Environmental Letters Pub Date : 2021-07-12 DOI: 10.1002/ael2.20050

Gaurav Jha, Debjani Sihi, Biswanath Dari, Harpreet Kaur, Mallika Arudi Nocco, April Ulery, Kevin Lombard

{"title":"Rapid and inexpensive assessment of soil total iron using Nix Pro color sensor","authors":"Gaurav Jha, Debjani Sihi, Biswanath Dari, Harpreet Kaur, Mallika Arudi Nocco, April Ulery, Kevin Lombard","doi":"10.1002/ael2.20050","DOIUrl":"10.1002/ael2.20050","url":null,"abstract":"In this study, an inexpensive Nix Pro (Nix Sensor Ltd.) color sensor was used to develop prediction models for soil iron (Fe) content. Thirty-eight soil samples were collected from five agricultural fields across the Animas watershed to develop and validate soil Fe prediction models. We used color space models to develop three different parameter sets for Fe prediction with Nix Pro. The different color space sets were used to develop three new predictive models for Nix Pro-based Fe content against the lab-based inductively coupled plasma analyzed Fe content. The model performances were assessed using the coefficient of determination, root mean square error, and model p-value. Three models (International Commission on Illumination's lightness, ±a axis (redness to greenness), and ± b axis (yellowness to blueness) [CIEL*a*b]; red, green, blue [RGB]; and cyan, magenta, yellow, key [black] [CMYK]) were significant in predicting the Fe content using colorimetric variables with R2 ranging from 0.79 to 0.81. The mean square prediction error (MSPE) and Kling–Gupta efficiency (KGE) Index were calculated to validate models and CMYK was predicted to be a better model (MSPE = 0.13; KGE = 0.601) than CIEL*a*b and RGB models. The results suggest Nix Pro is useful in predicting soil Fe content.","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":"6 3","pages":""},"PeriodicalIF":2.6,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/ael2.20050","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44888619","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}

引用次数: 9

Camera illustration of Indicator of Reduction in Soils (IRIS) reduction dynamics 土壤还原指标(IRIS)还原动态的相机图示

IF 2.6 4区农林科学

Agricultural & Environmental Letters Pub Date : 2021-07-02 DOI: 10.1002/ael2.20051

Olivia Victoria LeFevre, Thorsten Knappenberger, Joey Nathan Shaw, Yaniv Olshansky

引用次数: 0

Soil acidification in a continuous cotton production system 连续棉花生产系统中土壤酸化

IF 2.6 4区农林科学

Agricultural & Environmental Letters Pub Date : 2021-06-17 DOI: 10.1002/ael2.20048

Rajan Ghimire, Megha N. Parajulee, Pramod Acharya, Dol P. Dhakal, Abdul Hakeem, Katie L. Lewis

引用次数: 3

Toward a standardized statistical methodology comparing optimum nitrogen rates among management practices: A bootstrapping approach 在管理实践中比较最佳氮肥率的标准化统计方法:自举方法

IF 2.6 4区农林科学

Agricultural & Environmental Letters Pub Date : 2021-06-15 DOI: 10.1002/ael2.20045

Hannah R. Francis, Ting Fung Ma, Matthew D. Ruark

{"title":"Toward a standardized statistical methodology comparing optimum nitrogen rates among management practices: A bootstrapping approach","authors":"Hannah R. Francis, Ting Fung Ma, Matthew D. Ruark","doi":"10.1002/ael2.20045","DOIUrl":"10.1002/ael2.20045","url":null,"abstract":"There are a range of approaches to compare differences between or among optimum nitrogen (N) fertilizer rates resulting from different management practices; however, this goal lacks statistical standardization. To provide the statistical rigor needed to give clear recommendations for greater or less N need based on specific management practices, we propose a bootstrapping approach that resamples residuals with replacement. While bootstrapping is not new to data processing in agronomic fields, we provide an example of how to conduct residual-resampled bootstrapping with nonlinear regression to identify differences in response curves, optimum N rates, and maximum yields using the FertBoot package in R. Our example dataset provides clear evidence of the value of the bootstrapping approach, as it can aid in determining significant differences between even relatively small differences in optimum N rate. We encourage adoption of this approach as a way to accurately evaluate differences in optimum fertilizer levels between or among treatments to better inform future agronomic decision making.","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":"6 2","pages":""},"PeriodicalIF":2.6,"publicationDate":"2021-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/ael2.20045","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48099683","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}

引用次数: 1

Farmer perspectives on benefits of and barriers to extended crop rotations in Iowa, USA 美国爱荷华州农民对扩大作物轮作的好处和障碍的看法

IF 2.6 4区农林科学

Agricultural & Environmental Letters Pub Date : 2021-06-09 DOI: 10.1002/ael2.20049

David A. Weisberger, Marshall D. McDaniel, J. G. Arbuckle, Matt Liebman

{"title":"Farmer perspectives on benefits of and barriers to extended crop rotations in Iowa, USA","authors":"David A. Weisberger, Marshall D. McDaniel, J. G. Arbuckle, Matt Liebman","doi":"10.1002/ael2.20049","DOIUrl":"10.1002/ael2.20049","url":null,"abstract":"The highly specialized maize (Zea mays L.) and soybean [Glycine max (L.) Merr.] production system that dominates midwestern U.S. agriculture has led to widespread on-farm and off-farm degradation of and damage to natural resources. The practice of extending maize–soybean rotations with small grains and forages has great potential to balance production and environmental goals, but adoption of these practices is low. Because little is known about farmers’ perspectives on extended rotations, we conducted social survey research with Iowa farmers to address this knowledge gap. Results show that farmers understand the potential benefits of extended rotations using small grains, but they perceive major barriers to use. The highest-rated barriers were structural, such as lack of markets. Structural barriers cannot be easily addressed by individual farmers, indicating that efforts to address negative impacts of specialized commodity production through extended rotations with small grains will require transformative changes in agri-food policies, programs, and ultimately markets.","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":"6 2","pages":""},"PeriodicalIF":2.6,"publicationDate":"2021-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/ael2.20049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42272044","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}

引用次数: 7