Integrative multivariate and clustering analysis of field pea in late sown condition

Field pea is an important rabi crop in India. This study evaluated 10 parent varieties and 45 half diallel crosses to understand their genetic diversity under late-sown conditions. Eleven different traits were measured and the D2 Mahalanobis clustering method was employed to analyse the data, revealing that the germplasm could be grouped into six distinct clusters. The largest genetic differences were observed between clusters IV and V. Analysis of traits revealed significant variations among the clusters, with some genotypes from clusters IV and V showing promise for breeding purposes. Principal component analysis identified four key components that explained 83.61 % of the total variation. The highest variation was explained by PC1 (39.43 %) with an eigen value of 4.3, highlighting important traits for future crop improvement efforts.

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Publication Details

Journal
Plant Science Today
Published
2025-07-26
DOI
https://doi.org/10.14719/pst.9339
Primary Topic
Genetic and Environmental Crop Studies
Type
article
Field-Weighted Citation Impact
0.00
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Integrative multivariate and clustering analysis of field pea in late sown condition

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Genetic and Environmental Crop Studies
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Integrative multivariate and clustering analysis of field pea in late sown condition

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article en

Abstract

Field pea is an important rabi crop in India. This study evaluated 10 parent varieties and 45 half diallel crosses to understand their genetic diversity under late-sown conditions. Eleven different traits were measured and the D2 Mahalanobis clustering method was employed to analyse the data, revealing that the germplasm could be grouped into six distinct clusters. The largest genetic differences were observed between clusters IV and V. Analysis of traits revealed significant variations among the clusters, with some genotypes from clusters IV and V showing promise for breeding purposes. Principal component analysis identified four key components that explained 83.61 % of the total variation. The highest variation was explained by PC1 (39.43 %) with an eigen value of 4.3, highlighting important traits for future crop improvement efforts.

Plant Science Today
Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya (IN), Acharya Narendra Deva University of Agriculture and Technology (IN), Institute of Plant Genetics, Polish Academy of Sciences (PL)
Openalex Percentile: Top 87%
Genetic and Environmental Crop Studies
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