干旱区生态环境知识资源中心(Arid): Predictive models of drought tolerance indices based on physiological, morphological and biochemical markers for the selection of cotton (Gossypium hirsutum L.) varieties

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DOI	10.1016/S2095-3119(20)63596-1
	Predictive models of drought tolerance indices based on physiological, morphological and biochemical markers for the selection of cotton (Gossypium hirsutum L.) varieties
	Quevedo, Yeison M.; Moreno, Liz P.; Barragan, Eduardo
通讯作者	Quevedo, YM
来源期刊	JOURNAL OF INTEGRATIVE AGRICULTURE
ISSN	2095-3119
出版年	2022
卷号	21 期号:5 页码:1310-1320
英文摘要	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.
英文关键词	drought tolerance tolerance index proline chlorophyll stomatal conductance malondialdehyde yield multivariate analysis
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000792150300007
WOS关键词	PHOTOSYNTHETIC TOLERANCE ; WATER-STRESS ; GROWTH ; YIELD ; GENOTYPES ; OXYGEN ; MECHANISMS ; RESPONSES ; PIGMENTS ; PROLINE
WOS类目	Agriculture, Multidisciplinary
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393539
推荐引用方式 GB/T 7714	Quevedo, Yeison M.,Moreno, Liz P.,Barragan, Eduardo. Predictive models of drought tolerance indices based on physiological, morphological and biochemical markers for the selection of cotton (Gossypium hirsutum L.) varieties[J],2022,21(5):1310-1320.
APA	Quevedo, Yeison M.,Moreno, Liz P.,&Barragan, Eduardo.(2022).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,21(5),1310-1320.
MLA	Quevedo, Yeison M.,et al."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 21.5(2022):1310-1320.