Variation and Statistic Analysis of Agronomic Traits of Recombinant Inbred Lines of Brassica juncea L

Entang Tian, Lufeng Li, Shiyan Jia and Shuchun Lin

Asian Agricultural Research, 2018, vol. 10, issue 08

Abstract: Correlation analysis and principal component analysis (PCA) were conducted for some agronomic traits of 139 recombinant inbred lines of Brassica juncea L. The results showed that under the environmental conditions in Guiyang, the flowering time, number of seeds per silique, plant height and thousand seed weight differed significantly among different lines. The results of principal component analysis showed that the lines could be classified into three groups. The results of Pearson correlation tests showed that the plant height was positively correlated with the flowering time (P<0.05), and the thousand seed weight was negatively correlated with the flowering time and number of seeds per silique (P<0.01).

Keywords: Agribusiness (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:ags:asagre:281636

DOI: 10.22004/ag.econ.281636

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