Spatial estimation of water requirement in greengram under changing climates of North Interior Karnataka

Q3 Agricultural and Biological Sciences Journal of Agrometeorology Pub Date : 2023-05-25 DOI:10.54386/jam.v25i2.1954
HEMMAREDDY THIMMAREDDY, R. H. PATIL, K. G. SUMESH, GANAJAXI MATH, MAHANTESH B. NAGANGOUDAR
{"title":"Spatial estimation of water requirement in greengram under changing climates of North Interior Karnataka","authors":"HEMMAREDDY THIMMAREDDY, R. H. PATIL, K. G. SUMESH, GANAJAXI MATH, MAHANTESH B. NAGANGOUDAR","doi":"10.54386/jam.v25i2.1954","DOIUrl":null,"url":null,"abstract":"Greengram is one of the major protein rich grain legumes predominately cultivated in North Interior Karnataka (NIK). The study aimed at determining the water requirement of greengram variety DGGV- 2 using CROPWAT model that helps the farmers of NIK consisting of 12 districts in tapping the potential yields of this crop through proper irrigation management. The decadal analysis for 60 years was done under past (1991-2020) and projected climate (2021-2050) as per the recommended practices of UAS, Dharwad across four dates of sowing from 07th June to 28th June at weekly interval. The average crop evapotranspiration (ETc), effective rainfall (ER) and irrigation requirement (IR) under past climates (1991-2020) for NIK were 246, 269.3 and 37.4 mm, respectively. An increase of 26.8 mm in ETc, 21.6 mm in ER and decrease of 0.3 mm in IR were simulated under projected climates. Sowing late i.e., on 28th June under projected climate (2021-2050) simulated the lowest water requirement and irrigation requirement for all the 12 districts of NIK. The spatial distribution of ETc, ER and IR for all the 12 districts of NIK were interpreted under both past and projected climates using ArcGIS software.","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agrometeorology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54386/jam.v25i2.1954","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

Greengram is one of the major protein rich grain legumes predominately cultivated in North Interior Karnataka (NIK). The study aimed at determining the water requirement of greengram variety DGGV- 2 using CROPWAT model that helps the farmers of NIK consisting of 12 districts in tapping the potential yields of this crop through proper irrigation management. The decadal analysis for 60 years was done under past (1991-2020) and projected climate (2021-2050) as per the recommended practices of UAS, Dharwad across four dates of sowing from 07th June to 28th June at weekly interval. The average crop evapotranspiration (ETc), effective rainfall (ER) and irrigation requirement (IR) under past climates (1991-2020) for NIK were 246, 269.3 and 37.4 mm, respectively. An increase of 26.8 mm in ETc, 21.6 mm in ER and decrease of 0.3 mm in IR were simulated under projected climates. Sowing late i.e., on 28th June under projected climate (2021-2050) simulated the lowest water requirement and irrigation requirement for all the 12 districts of NIK. The spatial distribution of ETc, ER and IR for all the 12 districts of NIK were interpreted under both past and projected climates using ArcGIS software.
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
卡纳塔克邦北部内陆气候变化下绿图需水量的空间估算
绿豆是主要种植在卡纳塔克邦北部内陆地区的富含蛋白质的豆类作物之一。本研究旨在利用CROPWAT模型确定绿绿品种DGGV- 2的需水量,帮助由12个区组成的NIK的农民通过适当的灌溉管理来挖掘该作物的潜在产量。60年的年代际分析是在过去(1991-2020)和预测气候(2021-2050)下进行的,按照UAS的推荐做法,在达尔瓦德播种的四个日期(6月7日至6月28日,每周间隔一次)进行。在过去气候条件下(1991-2020),NIK的平均作物蒸散量(ETc)、有效降雨量(ER)和灌溉需要量(IR)分别为246、269.3和37.4 mm。在预估气候条件下,ETc增加26.8 mm, ER增加21.6 mm, IR减少0.3 mm。在预测气候条件下(2021-2050),6月28日播种较晚,是NIK所有12个区的最低需水量和灌溉需水量。利用ArcGIS软件对12个区在过去和未来气候条件下的ETc、ER和IR空间分布进行了解译。
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
Journal of Agrometeorology
Journal of Agrometeorology 农林科学-农艺学
CiteScore
1.40
自引率
0.00%
发文量
95
审稿时长
>12 weeks
期刊介绍: The Journal of Agrometeorology (ISSN 0972-1665) , is a quarterly publication of Association of Agrometeorologists appearing in March, June, September and December. Since its beginning in 1999 till 2016, it was a half yearly publication appearing in June and December. In addition to regular issues, Association also brings out the special issues of the journal covering selected papers presented in seminar symposia organized by the Association.
期刊最新文献
Development of weather based statistical models for Rhizoctonia aerial blight disease of soybean in Tarai region of Uttarakhand Water use efficiency and water productivity of aerobic rice under drip irrigation and fertigation system by using daily soil water balance Drought severity estimation using NDWI index in Parbhani district of Maharashtra Comparison of machine learning classification algorithms based on weather variables and seed characteristics for the selection of paddy seed Growth performance and agrometeorological indices of rice under different establishment methods
×
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