Principal component analysis of JNPT lines of rice for the important traits responsible for yield and quality

IF 1 4区 生物学 Q3 PLANT SCIENCES Indian Journal of Genetics and Plant Breeding Pub Date : 2021-03-25 DOI:10.31742/ijgpb.81.1.14
S. Rahangdale, Y. Singh, P. K. Upadhyay, G. K. Koutu
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引用次数: 6

Abstract

In present study, 67 JNPT (Jawahar New Plant Type) lines were evaluated for 28 morphological and quality traits planted in RCBD with three replications. Principal Component Analysis (PCA) revealed that out of 28, only eight PCs exhibited more than 1.0 eigen value and showed about 81.84% total variability. For selecting the high yielding genotypes in rice, the characters viz., spikelet density, spikelet fertility, number of tillers plant–1and panicle weight plant–1 may be considered. On the basis of high PC score ten most prominent lines namely JNPT-1059-9, JNPT-1059- 10, JNPT1062-1, JNPT-1062-2, JNPT-1064-9, JNPT-1065-1, JNPT-1065-2, JNPT1065-3, JNPT-1066-52 and JNPT-1068- 65 were identified for yield and quality traits.
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水稻JNPT品系的主成分分析是决定产量和品质的重要性状
本研究对67个JNPT (Jawahar New Plant Type)品系在RCBD上进行了3个重复的28个形态和品质性状的评价。主成分分析(PCA)表明,28个样本中只有8个样本的特征值大于1.0,变异率约为81.84%。在选择水稻高产基因型时,可考虑小穗密度、小穗育性、分蘖数和穗重等性状。在PC得分较高的基础上,鉴定了产量和品质性状最突出的10个品系:JNPT-1059-9、JNPT-1059- 10、JNPT1062-1、JNPT-1062-2、JNPT-1064-9、JNPT-1065-1、JNPT-1065-2、JNPT1065-3、JNPT-1066-52和JNPT-1068- 65。
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来源期刊
CiteScore
1.80
自引率
10.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: Advance the cause of genetics and plant breeding and to encourage and promote study and research in these disciplines in the service of agriculture; to disseminate the knowledge of genetics and plant breeding; provide facilities for association and conference among students of genetics and plant breeding and for encouragement of close relationship between them and those in the related sciences; advocate policies in the interest of the nation in the field of genetics and plant breeding, and facilitate international cooperation in the field of genetics and plant breeding.
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