Multivariate analysis for yield and its contributing traits in garden pea (Pisum sativum L.)

Journal Title: Journal of Agricultural and Crop Research - Year 2016, Vol 4, Issue 8

Abstract

An experiment was conducted at the experimental farm of Sher-e-Bangla Agricultural University, Dhaka, during November 2011 to March 2012 to study the multivariate analysis for yield and its contributing traits of 46 genotypes of garden pea (Pisum sativum L.) through principal component analysis and Mohalanobis D2 analysis. Analysis of variance indicated that considerable genetic variability was existed among the 46 genotypes. On the basis of D2 analysis, the genotypes were grouped into 5 clusters. Cluster II had the maximum number of 13 genotypes, while the cluster III had only 4 genotypes and cluster V had only 7 genotypes. The highest inter-cluster distance was observed between cluster III and IV (13.955), while the lowest in the cluster II and IV (3.688). The intra cluster distance was the maximum in cluster III (1.365) and minimum in cluster V (0.843). The characters: days to first flowering, days of 50% flowering, plant height and branches per plant, were found prominent towards the genetic divergence. From the results it can be concluded that the following genotypes: G17 (BD-4153), G9 (BD-4144), G25 (BD-4165), G29 (BD-4169), G34 (BD-4175), G36 (BD-4177), G44 (BD-7217) were identified as potential genotypes for higher seed yield in garden pea through hybridization.

Authors and Affiliations

Krisna Chandra Saha, Md. Maksudul Haque, Md. Mahmudul Hasan Khan, Abu Saleh Mohammad Yousuf Ali, Moshiur Rahman Bhuyin

Keywords

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  • EP ID EP549579
  • DOI -
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How To Cite

Krisna Chandra Saha, Md. Maksudul Haque, Md. Mahmudul Hasan Khan, Abu Saleh Mohammad Yousuf Ali, Moshiur Rahman Bhuyin (2016). Multivariate analysis for yield and its contributing traits in garden pea (Pisum sativum L.). Journal of Agricultural and Crop Research, 4(8), 124-128. https://europub.co.uk/articles/-A-549579