Effect of water stress on yield stability, water productivity, and canopy temperature of rice genotypes

IF 2 4区 农林科学 Q2 AGRONOMY International Agrophysics Pub Date : 2022-09-02 DOI:10.31545/intagr/151642
Zeinab Heravizadeh, Morteza Sam Daliri, M. Moballeghi, Amir Abbas Mousavi Mirkalaei
{"title":"Effect of water stress on yield stability, water productivity, and canopy temperature of rice genotypes","authors":"Zeinab Heravizadeh, Morteza Sam Daliri, M. Moballeghi, Amir Abbas Mousavi Mirkalaei","doi":"10.31545/intagr/151642","DOIUrl":null,"url":null,"abstract":". A field experiment was conducted to evaluate the performance and water productivity of 15 rice genotypes under non-stress and drought-stress conditions in a warm-temperate cli - mate. This study was laid out with a randomized complete block design at two research stations (Abbasabad and Katalom, Iran). Water deficit decreased the grain yield and increased the canopy temperature in all genotypes, but the response of water productiv - ity to drought stress was not the same for the different genotypes. The maximum water productivity in non-stress and stress condi - tions (0.50 and 0.53 kg m –3 , respectively) were found in landraces. The canopy temperature was a reliable indicator for identifying drought-tolerant genotypes of rice. With each degree increase in canopy temperature, the grain yield decreased by 1 942 kg ha –1 . The biplot analysis demonstrated that landraces were the most suitable genotypes for cultivation under drought-stress and no-stress conditions. A principal component analysis based on stress tolerance indices showed that Shastak and Sahel were the most tolerant genotypes to drought stress. Overall, Shastak with a max - imum grain yield (4 595 kg ha –1 ), the highest water productivity, and savings of irrigation water by as much as 54% under condi - tions of drought stress may be introduced as a superior genotype for cultivation under water scarcity conditions and used in future breeding programmes.","PeriodicalId":13959,"journal":{"name":"International Agrophysics","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Agrophysics","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.31545/intagr/151642","RegionNum":4,"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

. A field experiment was conducted to evaluate the performance and water productivity of 15 rice genotypes under non-stress and drought-stress conditions in a warm-temperate cli - mate. This study was laid out with a randomized complete block design at two research stations (Abbasabad and Katalom, Iran). Water deficit decreased the grain yield and increased the canopy temperature in all genotypes, but the response of water productiv - ity to drought stress was not the same for the different genotypes. The maximum water productivity in non-stress and stress condi - tions (0.50 and 0.53 kg m –3 , respectively) were found in landraces. The canopy temperature was a reliable indicator for identifying drought-tolerant genotypes of rice. With each degree increase in canopy temperature, the grain yield decreased by 1 942 kg ha –1 . The biplot analysis demonstrated that landraces were the most suitable genotypes for cultivation under drought-stress and no-stress conditions. A principal component analysis based on stress tolerance indices showed that Shastak and Sahel were the most tolerant genotypes to drought stress. Overall, Shastak with a max - imum grain yield (4 595 kg ha –1 ), the highest water productivity, and savings of irrigation water by as much as 54% under condi - tions of drought stress may be introduced as a superior genotype for cultivation under water scarcity conditions and used in future breeding programmes.
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
水分胁迫对水稻基因型产量稳定性、水分生产率和冠层温度的影响
在暖温带气候条件下,对15个水稻基因型在非胁迫和干旱胁迫条件下的表现和水分生产力进行了田间试验。本研究在两个研究站(Abbasabad和Katalom,伊朗)采用随机完全区组设计进行。水分亏缺降低了所有基因型的粮食产量,提高了冠层温度,但不同基因型的水分生产率对干旱胁迫的反应并不相同。在非胁迫和胁迫条件下(分别为0.50和0.53 kg m–3),陆地小种的水分生产率最高。冠层温度是鉴定水稻耐旱基因型的可靠指标。随着冠层温度的每升高一度,粮食产量减少1942kg ha–1。双位点分析表明,在干旱胁迫和无胁迫条件下,地方品种是最适合栽培的基因型。基于胁迫耐受指数的主成分分析表明,Shastak和Sahel是最能耐受干旱胁迫的基因型。总的来说,沙斯塔克具有最高的粮食产量(4955 kg ha–1)、最高的水生产力和在干旱胁迫条件下可节约54%的灌溉用水,可以作为缺水条件下栽培的优良基因型引入,并用于未来的育种计划。
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
International Agrophysics
International Agrophysics 农林科学-农艺学
CiteScore
3.60
自引率
9.10%
发文量
27
审稿时长
3 months
期刊介绍: The journal is focused on the soil-plant-atmosphere system. The journal publishes original research and review papers on any subject regarding soil, plant and atmosphere and the interface in between. Manuscripts on postharvest processing and quality of crops are also welcomed. Particularly the journal is focused on the following areas: implications of agricultural land use, soil management and climate change on production of biomass and renewable energy, soil structure, cycling of carbon, water, heat and nutrients, biota, greenhouse gases and environment, soil-plant-atmosphere continuum and ways of its regulation to increase efficiency of water, energy and chemicals in agriculture, postharvest management and processing of agricultural and horticultural products in relation to food quality and safety, mathematical modeling of physical processes affecting environment quality, plant production and postharvest processing, advances in sensors and communication devices to measure and collect information about physical conditions in agricultural and natural environments. Papers accepted in the International Agrophysics should reveal substantial novelty and include thoughtful physical, biological and chemical interpretation and accurate description of the methods used. All manuscripts are initially checked on topic suitability and linguistic quality.
期刊最新文献
Machine learning-based soil aggregation assessment under four scenarios in northwestern Iran Evaluation of the changes in Bekker's parameters and their use in determining the rolling resistance Study of wheat (Triticum aestivum L.) seed rehydration observed by the Dent generalized model and 1H-NMR relaxometry Investigation of vegetation dynamics with a focus on agricultural land cover and its relation with meteorological parameters based on the remote sensing techniques: a case study of the Gavkhoni watershed Vis/NIR and FTIR spectroscopy supported by machine learning techniques to distinguish pure from impure Iranian rice varieties
×
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