为美国开发土壤测试相关和校准数据库

IF 2.3 4区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Sarah E. Lyons, Dan K. Arthur, Nathan A. Slaton, Austin W. Pearce, John T. Spargo, Deanna L. Osmond, Peter J. A. Kleinman
{"title":"为美国开发土壤测试相关和校准数据库","authors":"Sarah E. Lyons,&nbsp;Dan K. Arthur,&nbsp;Nathan A. Slaton,&nbsp;Austin W. Pearce,&nbsp;John T. Spargo,&nbsp;Deanna L. Osmond,&nbsp;Peter J. A. Kleinman","doi":"10.1002/ael2.20058","DOIUrl":null,"url":null,"abstract":"<p>As part of the Fertilizer Recommendation Support Tool (FRST) project, the FRST database was developed to consolidate and preserve U.S. soil test correlation and calibration data. Legacy phosphorus (P) and potassium (K) soil test data that met a minimum requirement were included in the database. The FRST database initially included over 1,200 individual trials from a range of years, cropping systems, geographic regions, and management practices. The FRST database is being migrated from a Microsoft Excel spreadsheet to a relational database format housed within the USDA-ARS Agricultural Collaborative Research Outcomes System (AgCROS) to be accessed via the online FRST decision support tool. Data will be continually added to the FRST database through an online submission form following peer review by the FRST team. The FRST database and associated decision support tool will aid researchers, extension associates, consultants, and farmers in improving fertilizer recommendations for crops across the United States.</p>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.20058","citationCount":"1","resultStr":"{\"title\":\"Development of a soil test correlation and calibration database for the USA\",\"authors\":\"Sarah E. Lyons,&nbsp;Dan K. Arthur,&nbsp;Nathan A. Slaton,&nbsp;Austin W. Pearce,&nbsp;John T. Spargo,&nbsp;Deanna L. Osmond,&nbsp;Peter J. A. Kleinman\",\"doi\":\"10.1002/ael2.20058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>As part of the Fertilizer Recommendation Support Tool (FRST) project, the FRST database was developed to consolidate and preserve U.S. soil test correlation and calibration data. Legacy phosphorus (P) and potassium (K) soil test data that met a minimum requirement were included in the database. The FRST database initially included over 1,200 individual trials from a range of years, cropping systems, geographic regions, and management practices. The FRST database is being migrated from a Microsoft Excel spreadsheet to a relational database format housed within the USDA-ARS Agricultural Collaborative Research Outcomes System (AgCROS) to be accessed via the online FRST decision support tool. Data will be continually added to the FRST database through an online submission form following peer review by the FRST team. The FRST database and associated decision support tool will aid researchers, extension associates, consultants, and farmers in improving fertilizer recommendations for crops across the United States.</p>\",\"PeriodicalId\":48502,\"journal\":{\"name\":\"Agricultural & Environmental Letters\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2021-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.20058\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agricultural & Environmental Letters\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/ael2.20058\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural & Environmental Letters","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ael2.20058","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 1

摘要

作为肥料推荐支持工具(FRST)项目的一部分,开发了FRST数据库,以巩固和保存美国土壤测试相关和校准数据。满足最低要求的遗留磷(P)和钾(K)土壤试验数据被纳入数据库。FRST数据库最初包括1200多个单独的试验,涉及不同年份、种植制度、地理区域和管理实践。FRST数据库正在从微软Excel电子表格迁移到USDA-ARS农业合作研究成果系统(AgCROS)内的关系数据库格式,并通过在线FRST决策支持工具进行访问。在FRST团队进行同行评审后,数据将通过在线提交表格不断添加到FRST数据库中。FRST数据库和相关的决策支持工具将帮助研究人员、推广人员、顾问和农民改进美国各地作物的肥料建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a soil test correlation and calibration database for the USA

As part of the Fertilizer Recommendation Support Tool (FRST) project, the FRST database was developed to consolidate and preserve U.S. soil test correlation and calibration data. Legacy phosphorus (P) and potassium (K) soil test data that met a minimum requirement were included in the database. The FRST database initially included over 1,200 individual trials from a range of years, cropping systems, geographic regions, and management practices. The FRST database is being migrated from a Microsoft Excel spreadsheet to a relational database format housed within the USDA-ARS Agricultural Collaborative Research Outcomes System (AgCROS) to be accessed via the online FRST decision support tool. Data will be continually added to the FRST database through an online submission form following peer review by the FRST team. The FRST database and associated decision support tool will aid researchers, extension associates, consultants, and farmers in improving fertilizer recommendations for crops across the United States.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.70
自引率
3.80%
发文量
28
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信