中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > Predictive models of drought tolerance indices based on physiological, morphological and biochemical markers for the selection of cotton (Gossypium hirsutum L.) varieties 农业科学学报 (英文) 2022,21 (5)
Position: Home > Articles > Predictive models of drought tolerance indices based on physiological, morphological and biochemical markers for the selection of cotton (Gossypium hirsutum L.) varieties Journal of Integrative Agriculture 2022,21 (5)

Predictive models of drought tolerance indices based on physiological, morphological and biochemical markers for the selection of cotton (Gossypium hirsutum L.) varieties

作  者：
Quevedo, Yeison M.;Moreno, Liz P.;Barragan, Eduardo
单  位：
Univ Nacl Colombia, Fac Agr Sci, Bogota 111321, DC, Colombia;AGROSAVIA, Colombian Corp Agr Res, El Espinal 733529, Colombia
关键词：
drought tolerance;tolerance index;proline;chlorophyll;stomatal conductance;malondialdehyde;yield;multivariate analysis
摘  要：
The use of tolerant crop varieties is a strategy that mitigates the water deficit effect in a sustainable way. The generation of these varieties is more efficient when variables associated with this tolerance have been identified, since they can facilitate the breeding processes. This study aimed to establish the relationships between water deficit tolerance of four cotton varieties (Nevada-123, Oasis-129, Guatapuri, and Festivalle) and morphological variables (monopodial branches, boll weight, root/shoot ratio, and leaf and root dry matter), physiological variables (relative water content, net photosynthesis, stomatal conductance, electron transport rate, photochemical quenching, photochemical efficiency of PSII, chlorophyll a/b ratio (Chl a/b), C12/C13 isotope ratio, and electrolyte leakage), and biochemical variables (contents of sugars, proline, carotenoids, and malondialdehyde). Furthermore, calibrated predictive models of the drought tolerance indices were developed based on the key variables identified. For this purpose, a pot experiment was established where plants were subjected to a moderate or severe water deficit during the blooming stage for 12 days. The stress tolerance index (STI) and mean productivity (MP) were calculated. For the evaluated variables, the differences between well-watered and water deficit plants (Delta) were calculated and ANOVA, partial least squares, Pearson's correlation, and multiple linear regression analyzes were performed. A model was generated that explained 95% of the STI and was composed of Delta malondialdehyde, Delta proline, and Delta boll weight. For MP, the model was comprised of Delta stomatal conductance, Delta root/shoot ratio, and Delta Chl a/b, and explained 89% of the MP. The analysis of the assessed variables allowed the identification of key variables and the development of calibrated predictive models that can be used in screening to obtain cotton varieties with different levels of water deficit tolerance.

相似文章

PDF下载 PDF预览
导出引用
计量
文章访问数: 10
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46