Estimating crop water requirement in Madhya Pradesh's agro-climatic regions: A CROPWAT and CLIMWAT software case study

Venkatesh Gaddikeri, Jitendra Rajput, Dimple, Malkhan Singh Jatav, Arti Kumari, Lalita Rana, Ashish Rai, Anshu Gangwar
{"title":"Estimating crop water requirement in Madhya Pradesh's agro-climatic regions: A CROPWAT and CLIMWAT software case study","authors":"Venkatesh Gaddikeri, Jitendra Rajput, Dimple, Malkhan Singh Jatav, Arti Kumari, Lalita Rana, Ashish Rai, Anshu Gangwar","doi":"10.36953/ecj.26022353","DOIUrl":null,"url":null,"abstract":"Estimating actual crop evapotranspiration is vital in water-scarce environment affected by climate change, particularly for optimizing irrigation and enhancing crop yield. This research focuses on assessing crop water and irrigation requirement for major crops across six districts of Madhya Pradesh, India, spanning diverse agro-climatic regions. Employing CLIMWAT 2.0 and CROPWAT 8.0 software, calculated crop evapotranspiration and devised irrigation strategies tailored to local climatic conditions. The FAO-Penman-Montieth (FAO-PM) equation for reference evapotranspiration (ET0), aiding in crop water requirement computation and irrigation planning. Our findings reveal substantial variations in crop water requirements across crops and districts. For instance, soybean in Indore requires the highest water input at 380 mm, while in Guna, was least at 303 mm. Wheat, on the other hand, register the highest water needs in Khandwa at 510.6 mm and the lowest in the Neemuch district at 370.8 mm, particularly during the rabi season. Besides that, this study underscores the need for district-specific considerations, taking into account climate and soil characteristics when formulating water management strategies. Employing efficient irrigation practices and techniques to manage water stress becomes imperative for optimizing crop yield and achieving economic returns. Implementing customized approaches to enhance water use efficiency and promote sustainability in agricultural production is crucial. These research outcomes provide valuable insights for policymakers, agricultural practitioners, and water resource managers to develop context-specific water management strategies.","PeriodicalId":12035,"journal":{"name":"Environment Conservation Journal","volume":"438 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environment Conservation Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36953/ecj.26022353","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Estimating actual crop evapotranspiration is vital in water-scarce environment affected by climate change, particularly for optimizing irrigation and enhancing crop yield. This research focuses on assessing crop water and irrigation requirement for major crops across six districts of Madhya Pradesh, India, spanning diverse agro-climatic regions. Employing CLIMWAT 2.0 and CROPWAT 8.0 software, calculated crop evapotranspiration and devised irrigation strategies tailored to local climatic conditions. The FAO-Penman-Montieth (FAO-PM) equation for reference evapotranspiration (ET0), aiding in crop water requirement computation and irrigation planning. Our findings reveal substantial variations in crop water requirements across crops and districts. For instance, soybean in Indore requires the highest water input at 380 mm, while in Guna, was least at 303 mm. Wheat, on the other hand, register the highest water needs in Khandwa at 510.6 mm and the lowest in the Neemuch district at 370.8 mm, particularly during the rabi season. Besides that, this study underscores the need for district-specific considerations, taking into account climate and soil characteristics when formulating water management strategies. Employing efficient irrigation practices and techniques to manage water stress becomes imperative for optimizing crop yield and achieving economic returns. Implementing customized approaches to enhance water use efficiency and promote sustainability in agricultural production is crucial. These research outcomes provide valuable insights for policymakers, agricultural practitioners, and water resource managers to develop context-specific water management strategies.
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
估算中央邦农业气候区的作物需水量:CROPWAT 和 CLIMWAT 软件案例研究
在受气候变化影响的缺水环境中,估算作物的实际蒸散量至关重要,尤其是在优化灌溉和提高作物产量方面。这项研究的重点是评估印度中央邦六个地区主要农作物的水分和灌溉需求,这些地区跨越不同的农业气候区域。利用 CLIMWAT 2.0 和 CROPWAT 8.0 软件计算作物蒸散量,并根据当地气候条件制定灌溉策略。粮农组织-彭曼-蒙蒂(FAO-PM)方程用于参考蒸散量(ET0),有助于作物需水量的计算和灌溉规划。我们的研究结果表明,不同作物和地区的作物需水量存在很大差异。例如,印多尔的大豆需水量最高,为 380 毫米,而古纳最少,为 303 毫米。另一方面,小麦在 Khandwa 的需水量最高,为 510.6 毫米,而在 Neemuch 地区则最低,为 370.8 毫米,尤其是在雨季。此外,这项研究还强调,在制定水资源管理战略时,需要考虑到气候和土壤特性,因地制宜。采用高效的灌溉方法和技术来管理用水压力已成为优化作物产量和实现经济收益的当务之急。采用因地制宜的方法提高用水效率和促进农业生产的可持续性至关重要。这些研究成果为政策制定者、农业从业者和水资源管理者提供了宝贵的见解,有助于他们制定针对具体情况的水资源管理策略。
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
自引率
0.00%
发文量
0
期刊最新文献
Gene actions and combining ability effects on grain yield and its constituent traits in inbred lines of quality protein maize Impact of traditional community tanks rejuvenation on groundwater recharge and crop productivity in Yadgir district of Kalyan Karnataka Region, India Indigenous livestock care practices in Kamlah, Mandi District, Himachal Pradesh: A preserving heritage The short-horned grasshoppers (Acrididae and Pyrgomorphidae: Orthoptera) of Karnataka, India: A checklist and distribution data Effect of seed priming on germination parameters of Bael (Aegle marmelos Corr.) under laboratory conditions
×
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