Simulating the development and growth of lentil using the CSM-CROPGRO model

IF 2 3区 农林科学 Q2 AGRONOMY Agronomy Journal Pub Date : 2024-08-14 DOI:10.1002/agj2.21654
Qi Jing, Kenneth J. Boote, Kui Liu, Gerrit Hoogenboom, Jeffrey W. White, Ward Smith, Guillaume Jégo, Brian Grant, Marianne Crépeau, Jiali Shang, Jiangui Liu, Aston Chipanshi, Budong Qian
{"title":"Simulating the development and growth of lentil using the CSM-CROPGRO model","authors":"Qi Jing,&nbsp;Kenneth J. Boote,&nbsp;Kui Liu,&nbsp;Gerrit Hoogenboom,&nbsp;Jeffrey W. White,&nbsp;Ward Smith,&nbsp;Guillaume Jégo,&nbsp;Brian Grant,&nbsp;Marianne Crépeau,&nbsp;Jiali Shang,&nbsp;Jiangui Liu,&nbsp;Aston Chipanshi,&nbsp;Budong Qian","doi":"10.1002/agj2.21654","DOIUrl":null,"url":null,"abstract":"<p>The pulse crop lentil (<i>Lens culinaris</i> Medik.) is often grown in crop rotations to provide nitrogen (N) and water benefits for subsequent crops. Lentil yields vary greatly with environmental factors and management. A reliable crop model for lentil could assist efforts to assess the effects of management practices to mitigate environmental stresses and maximize lentil yields. However, few crop models simulate the development and growth of lentil. In this study, we adapted the CSM-CROPGRO model in the Decision Support System for Agrotechnology Transfer to simulate lentil development and growth based on data collected from six experiments conducted from 2001 to 2021 globally. The initial parameter values taken from faba bean (<i>Vicia faba</i> L.) were modified based on reported information and analysis of observed data. Those values were fine-tuned to minimize the gaps between the simulated and observed crop attributes. The model simulated well development stages with root mean square error (RMSE) of 4 days and aboveground biomass with normalized root mean square error (nRMSE ≤ 23%). Seed yields were generally well simulated across experiments in calibration and validation (nRMSE = 19%) datasets, except for overestimation under the humid environment of Quebec in Canada, which may have resulted from excessive vegetative growth. The underlying mechanisms leading to excessive vegetative growth need to be explored further and included in the model for evaluating the adaptability of lentils to specific regions. Overall, the CSM-CROPGRO-Lentil model is ready for simulating lentil production under various scenarios, which may identify ways to improve the productivity and resiliency of cropping systems that include lentil.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"116 5","pages":"2391-2410"},"PeriodicalIF":2.0000,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.21654","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agronomy Journal","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/agj2.21654","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0

Abstract

The pulse crop lentil (Lens culinaris Medik.) is often grown in crop rotations to provide nitrogen (N) and water benefits for subsequent crops. Lentil yields vary greatly with environmental factors and management. A reliable crop model for lentil could assist efforts to assess the effects of management practices to mitigate environmental stresses and maximize lentil yields. However, few crop models simulate the development and growth of lentil. In this study, we adapted the CSM-CROPGRO model in the Decision Support System for Agrotechnology Transfer to simulate lentil development and growth based on data collected from six experiments conducted from 2001 to 2021 globally. The initial parameter values taken from faba bean (Vicia faba L.) were modified based on reported information and analysis of observed data. Those values were fine-tuned to minimize the gaps between the simulated and observed crop attributes. The model simulated well development stages with root mean square error (RMSE) of 4 days and aboveground biomass with normalized root mean square error (nRMSE ≤ 23%). Seed yields were generally well simulated across experiments in calibration and validation (nRMSE = 19%) datasets, except for overestimation under the humid environment of Quebec in Canada, which may have resulted from excessive vegetative growth. The underlying mechanisms leading to excessive vegetative growth need to be explored further and included in the model for evaluating the adaptability of lentils to specific regions. Overall, the CSM-CROPGRO-Lentil model is ready for simulating lentil production under various scenarios, which may identify ways to improve the productivity and resiliency of cropping systems that include lentil.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用 CSM-CROPGRO 模型模拟小扁豆的发育和生长过程
豆类作物小扁豆(Lens culinaris Medik.)通常在轮作中种植,为后茬作物提供氮(N)和水。小扁豆的产量因环境因素和管理而有很大差异。可靠的扁豆作物模型有助于评估管理措施的效果,以减轻环境压力,最大限度地提高扁豆产量。然而,很少有作物模型可以模拟扁豆的发育和生长。在本研究中,我们对农业技术转让决策支持系统中的 CSM-CROPGRO 模型进行了改编,以 2001 年至 2021 年期间在全球范围内进行的六次实验所收集的数据为基础,模拟了扁豆的发育和生长情况。根据报告信息和对观测数据的分析,对取自蚕豆的初始参数值进行了修改。对这些值进行了微调,以尽量缩小模拟作物属性与观测作物属性之间的差距。该模型模拟的生长发育阶段均方根误差 (RMSE) 为 4 天,地上生物量均方根误差 (nRMSE ≤ 23%)。在校准和验证数据集(nRMSE = 19%)中,除了加拿大魁北克潮湿环境下的种子产量估计过高(这可能是无性生长过多造成的)外,其他实验的种子产量模拟结果总体良好。需要进一步探索导致无性生长过快的潜在机制,并将其纳入模型,以评估扁豆对特定地区的适应性。总之,CSM-CROPGRO-Lentil 模型可用于模拟各种情况下的扁豆生产,从而找出提高包括扁豆在内的种植系统的生产率和抗逆性的方法。
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 去求助
来源期刊
Agronomy Journal
Agronomy Journal 农林科学-农艺学
CiteScore
4.70
自引率
9.50%
发文量
265
审稿时长
4.8 months
期刊介绍: After critical review and approval by the editorial board, AJ publishes articles reporting research findings in soil–plant relationships; crop science; soil science; biometry; crop, soil, pasture, and range management; crop, forage, and pasture production and utilization; turfgrass; agroclimatology; agronomic models; integrated pest management; integrated agricultural systems; and various aspects of entomology, weed science, animal science, plant pathology, and agricultural economics as applied to production agriculture. Notes are published about apparatus, observations, and experimental techniques. Observations usually are limited to studies and reports of unrepeatable phenomena or other unique circumstances. Review and interpretation papers are also published, subject to standard review. Contributions to the Forum section deal with current agronomic issues and questions in brief, thought-provoking form. Such papers are reviewed by the editor in consultation with the editorial board.
期刊最新文献
Issue Information Weed management in organic dryland wheat production in the Pacific Northwest Soil health benefits of compost persist two decades after single application to winter wheat Deriving general principles of agroecosystem multifunctionality with the Diverse Rotations Improve Valuable Ecosystem Services (DRIVES) network Multiyear productivity and nitrate-nitrogen loss from corn and prairie bioenergy cropping systems
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1