Trends in the yield response to nitrogen of winter wheat in Oklahoma

IF 2.3 4区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Amadeo F. Panyi, B. Wade Brorsen
{"title":"Trends in the yield response to nitrogen of winter wheat in Oklahoma","authors":"Amadeo F. Panyi,&nbsp;B. Wade Brorsen","doi":"10.1002/ael2.20143","DOIUrl":null,"url":null,"abstract":"<div>\n \n <section>\n \n \n <p>This study seeks to explain how the response of winter wheat (<i>Triticum aestivum L</i>.) to nitrogen at Lahoma, OK, has changed over time. This objective was motivated by the need for accurate estimation of optimal nitrogen recommendations and to understand why optimal nitrogen rates have changed over time. Yields increased over time, except at the 0 and 22 kg N ha<sup>−1</sup> rates of applied nitrogen. Bayesian methods were used to estimate linear plateau models where each parameter has its own time trend. Results show no trend in intercept, an increase of 1.3% per year in the slope coefficient, a 1.9% per year increase in the difference between the plateau and intercept, and a 33% increase in the optimal nitrogen rates from 1971 to 2023. These trends suggest the need to update nitrogen recommendations and help explain why the yield goal approach became imprecise over time due to changing yield potential.</p>\n </section>\n \n <section>\n \n <h3> Core Ideas</h3>\n \n <div>\n <ul>\n \n <li>The yield of winter wheat went up over time with nitrogen rates of 45 kg N ha<sup>−1</sup> or higher.</li>\n \n <li>The yield on check plots with no nitrogen did not change.</li>\n \n <li>The slope and plateau of the linear plateau model of wheat yield response went up over 1% per year.</li>\n \n <li>Optimal nitrogen went up over 33% over time based on the estimated linear response stochastic plateau model.</li>\n </ul>\n </div>\n </section>\n </div>","PeriodicalId":48502,"journal":{"name":"Agricultural & Environmental Letters","volume":"9 2","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ael2.20143","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural & Environmental Letters","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ael2.20143","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: 0

Abstract

This study seeks to explain how the response of winter wheat (Triticum aestivum L.) to nitrogen at Lahoma, OK, has changed over time. This objective was motivated by the need for accurate estimation of optimal nitrogen recommendations and to understand why optimal nitrogen rates have changed over time. Yields increased over time, except at the 0 and 22 kg N ha−1 rates of applied nitrogen. Bayesian methods were used to estimate linear plateau models where each parameter has its own time trend. Results show no trend in intercept, an increase of 1.3% per year in the slope coefficient, a 1.9% per year increase in the difference between the plateau and intercept, and a 33% increase in the optimal nitrogen rates from 1971 to 2023. These trends suggest the need to update nitrogen recommendations and help explain why the yield goal approach became imprecise over time due to changing yield potential.

Core Ideas

  • The yield of winter wheat went up over time with nitrogen rates of 45 kg N ha−1 or higher.
  • The yield on check plots with no nitrogen did not change.
  • The slope and plateau of the linear plateau model of wheat yield response went up over 1% per year.
  • Optimal nitrogen went up over 33% over time based on the estimated linear response stochastic plateau model.

Abstract Image

俄克拉荷马州冬小麦产量对氮反应的趋势
本研究旨在解释俄克拉荷马州拉霍马的冬小麦(Triticum aestivum L.)对氮的反应是如何随着时间的推移而变化的。之所以要实现这一目标,是因为需要准确估算最佳氮素推荐量,并了解最佳氮素用量随时间推移发生变化的原因。除了 0 和 22 千克氮公顷-1 的施氮量外,产量随着时间的推移而增加。贝叶斯方法用于估计线性高原模型,其中每个参数都有自己的时间趋势。结果表明,截距没有趋势,斜率系数每年增加 1.3%,高原与截距之差每年增加 1.9%,最佳施氮率从 1971 年到 2023 年增加了 33%。这些趋势表明有必要更新氮肥建议,并有助于解释为什么随着时间的推移,产量目标法会因产量潜力的变化而变得不精确。 核心观点 每公顷 45 千克氮含量或更高时,冬小麦的产量随时间推移而增加。 无氮对照地块的产量没有变化。 小麦产量响应线性高原模型的斜率和高原每年上升超过 1%。 根据估计的线性响应随机高原模型,最佳施氮量随着时间的推移增加了 33%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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