Identification of drought tolerant entries based on stress tolerant indices and physiological traits in RIL population of cotton (Gossypium hirsutum)

K. Nandhini , R. Saraswathi , N. Premalatha
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引用次数: 1

Abstract

The present investigation was taken up in a recombinant inbred population of cotton at advanced stage (F10) derived from the cross MCU 5 x TCH 1218 in order to identify drought tolerance lines based on stress tolerant indices and physiological traits. To achieve these objectives, 220 recombinant inbred lines, parents and check KC3 were evaluated across two locations viz., Coimbatore and Aruppukottai in a randomized block design with two replications during Kharif 2018 and stress tolerant indices were estimated from single plant yield under both locations while physiological traits were recorded at rainfed condition alone.

Based on different multivariant analyses, 18 RILs viz., RIL 16, 20, 60, 71, 73, 74, 116, 131, 134, 137, 139, 143, 146, 147, 148, 149, 164 and 168 were identified as best performers under rainfed condition for yield traits which also exhibited lowest mean rank for physiological traits. Among these entries, RIL 74 and RIL 73 had low percentage of injury and high relative water content respectively. Association analysis revealed that tolerance index, yield reduction ratio, stress tolerance index and stress susceptibility index were significant and positively correlated among themselves. Negative correlation was noticed for yield under stress (YS) with tolerance index (TOL), yield reduction ratio (Yr) and stress susceptibility index (SSI). So, these indices are used to identify the susceptible genotypes, while remaining indices exhibit significant and positive association with yield under stress and normal condition. This implies remaining traits are used to discriminate tolerant genotypes.

基于抗旱指标和生理性状的棉花RIL群体抗旱种质鉴定
为从抗旱性指标和生理性状上鉴定棉花抗旱性品系,以mc5与TCH 1218杂交的棉花中后期重组自交系F10为材料进行了研究。为了实现这些目标,在2018年秋季,采用随机区组设计,对220个重组自交系、亲本和检查KC3在两个地点(即哥印拜陀和阿鲁普科泰)进行了评估,并从两个地点的单株产量估计了抗逆性指标,同时记录了单雨养条件下的生理性状。通过不同的多变量分析,发现16、20、60、71、73、74、116、131、134、137、139、143、146、147、148、149、164和168个RIL在旱作条件下产量性状表现最佳,生理性状平均排名最低。其中,RIL 74和RIL 73损伤率低,相对含水量高。相关性分析表明,耐受性指数、减产率、胁迫耐受性指数和胁迫敏感性指数之间呈显著正相关。胁迫下产量(YS)与耐受性指数(TOL)、减产率(Yr)和胁迫敏感性指数(SSI)呈负相关。因此,这些指标用于鉴定易感基因型,其余指标在胁迫和正常条件下均与产量呈显著正相关。这意味着剩余的性状被用来区分耐受性基因型。
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