Ressources génétiques/Légumineuses

Analysis of trait association and principal component of variability in field pea (Pisum sativum L.) genotypes 

Manish Kumar, MS Jeberson, NB Singh, Ranjit Sharma and Raviraj Singh Patel 

The Pharma Innovation Journal 2018; 7(8): 437-441

Abstract: Existing genetic variability and strong trait association among cultivars/germplasm offer great help in enhancing the genetic gain/breeding value in crop plants. The objective of this study was to analyze the traits association and principal components causing genetic variability present in twenty-eight genotypes (Parents + Hybrids) using 12 agro-morphological traits. The experiment was consisted 28 genetically diverse pea genotypes (7 parents and 21 F1 crosses, developed in half diallel fashion) were evaluated under Randomized Block Design (RBD) under recommended agro-practices. The ANOVA analysis revealed that parentage and crosses has genetic variability (among parentage and F1s) for all the traits studied. The no. of pod per plant (r = 0.685 and 0.670, respectively at P≤0.01) has substantial genotypic and phenotypic correlation with seed yield/plant followed by pod length (0.639), no. of nodes to first flowering (0.576) etc. Existence of great genetic variability with comparative value of PCV and GCV reflects that the genotypes have played substantial role rather least environmental effects on these traits suggest selection suitability of these traits. Hence, information generated in the study has immense value in formulation of further breeding strategies and exploitation of maximum genetic gain in field pea 

Keywords: Genetic diversity, PCA, GCV, PCV, correlation coefficient, agro-morphological traits, field pea, Pisum sativum L 

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