Principal Components Analysis for Yield and Quality Contributing Traits in Field Pea (Pisum Sativum L.) Genotypes

Author: Neelesh Patel, J.P. Lakhani, Sanjay Kumar Singh, Pankaj Chauhan and Dhuruv Dangi

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Abstract

The study involved the examination of 43 field pea genotypes, focusing on their yield, and quality traits, and employed Principal Component Analysis. Field pea genotypes were evaluated in Randomized Complete Block Design (RCBD) in three replications along with three different dates of sowing at BSP Soybean Unit, Department of Genetics & Plant Breeding, College of Agriculture, JNKVV, Jabalpur during Rabi Season 2022-2023. The Principal Components Analysis was applied on 19 different yield and quality traits pooled under various environmental conditions. Out of nineteen, only 7 principal components (PCs) exhibited more than 1 eigen value and showed 79.34 % variability among the traits studied. The PC1 accounted the highest of total variability 24.548%, whereas, PC2, PC3, PC4, PC5, PC6 and PC7 exhibited 15.31%, 11.13%, 9.65%, 7.36%, 5.94% & 5.44% respectively. Rotated component matrix revealed that the PC1, PC2 and PC3 accounted for yield related traits. PC4, PC5 and PC7 contributed yield and quality with traits. Highest PC score was recorded in PC1 HFP 94-12 (4.268) & in PC2 Kalamatar (4.582), PC3 Tall Green (Hybrid) (2.560), PC4 HUP 2 (2.908), PC5 Batana Moolchand (2.63) and PC7 KFP 151 (2.398). The identified genotypes IPFD 99-25, Kalasona, Batana Moolchand and Gol Batra Tenduna showed their presence in two or more than two principal components. The genotypes contributing to the higher PC value will be of great importance as parental lines for the transfer of these traits to the recipients. The genotypes contributing high PC scores with sharing their presence in more than one component will be utilized as breeding line for hybridization programme to identify the transgressive segregation in the population.

Keywords

PCA, Yield and Quality, Variability, Field Pea

Conclusion

Genotypes posses high PC scores in the pooled environments will have great potential for the selection of desired genotypes dominated with particular traits. The finding revealed that the genotypes viz. HFP 94-12, Kalamatar, IPDF 99-25, KPMR 485, Tall Green (Hybrid), Tall White (Hybrid), HUP 2, Batana Moolchand and Gol Batra Tenduna reported highest positive PC values and also IPFD 99-25, Kalasona, Batana Moolchand and Gol Batra Tenduna genotypes showed their presence in two or more than two principal components. These genotypes with high PC values are crucial for transferring traits to recipients, and those genotypes present in multiple principal components will be utilized as breeding lines for hybridization programs to identify transgressive segregation in the population. The genotypes found to be more promising as per the standard checks will be utilized in breeding programme to transfer the desired traits after hybridization. The lines showed good performance will be tested under AICRP-MULLaRP for the release as a variety.

References

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How to cite this article

Neelesh Patel, J.P. Lakhani, Sanjay Kumar Singh, Pankaj Chauhan and Dhuruv Dangi (2023). Principal Components Analysis for Yield and Quality Contributing Traits in Field Pea (Pisum sativum L.) Genotypes. Biological Forum – An International Journal, 15(10): 502-507.