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International Journal of Applied Agricultural & Horticultural Sciences
  • 29 April, 2024
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DOI Prefix : 10.37322
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Vol. 9 (3) : May-June 2018 issue
Green Farming Vol. 9 (3) : 404-408 ; May-June, 2018
Principal component analysis of Indian mustard genotypes for morpho-physiological traits under rainfed condition
KHUSHBOO CHANDRA1*,  ANIL PANDEY2  and  S.B. MISHRA3
Department of Plant Breeding and Genetics, Dr. Rajendra Prasad Central Agricultural University, Pusa – 848 125, Samatipur (Bihar)
Designation :  
1Ph.D. Scholar *(cute.khushi6@gmail.com), 2Chief Scientist (Oil Seeds), 3Chief Scientist (Pulses)
Subject : Crop Genetics and Plant Breeding
Paper No. : P-7249
Total Pages : 5
Received : 07 May 2018
Revised accepted : 17 May 2018
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Citation :

KHUSHBOO CHANDRA, ANIL PANDEY and S.B. MISHRA. 2018. Principal component analysis of Indian mustard genotypes for morpho-physiological traits under rainfed condition. Green Farming Vol. 9 (3) : 404-408 ; May-June, 2018

ABSTRACT
Under rainfed timely- sown condition an experiment was conducted predominantly cultivated crop Brassica species in Indian mustard (Brassica juncea L.Czern & Coss) for Principal Component Analysis and K- mean cluster analysis studies, in Randomized Complete Block Design accommodating 50 genotypes, from various Rapeseed & Mustard centres located across country, randomly in three replications during rabi 2015-16 at Tirhut College of Agriculture, Dholi, Muzaffarpur research farm. In present investigation, only first principal component (PCA1) showed maximum Eigen value and cumulatively showed 84.22% variability. Based on PCA1, PCA2 and PCA3 scores cumulatively accommodating 94.95% variability, 3-D plotted for 50 Indian mustard genotypes, covering most important traits namely AS, AB, DFF, HFS, SS-1, RV, HFPB and RL which contributed maximum towards variability. Amongst the constituted eight clusters, the cluster VIII included four genotypes, Pusa Mahak, Varuna, Pusa Bold and Rajendra suphlam followed by cluster VII with nine genotypes, reflected superiority for oil content and close for various morpho-physiological traits to cluster VIII. Most diverse genetic background was reflected by Cluster VIII (Rajendra Suplam, Varuna, Pusa Bold & Pusa Mahak); followed by Cluster III (TM-2, Divya and RH0406); Cluster V (Kanti); Cluster IV (Kranti) and Cluster VII (RH0819). Divergent cross combinations suggested namely Rajendra Suflam × Divya, Rajendra Suflam × Kanti,Pusa Mahak × Divya, Pusa Mahak × Kanti, Kranti × Divya, Kranti × Kanti, Pusa Bold × Divya, Pusa Bold × Kanti,Varuna × Divya, Varuna × Kanti, Rajendra Suflam × TM-2, Rajendra Suflam × RGN 13, Rajendra Suflam × RH 0406,RH0819× Divya and RH0819× Kanti involved cluster VIII × III,VIII × V,VII×III and VII × V involving divergent genotypes could through recombinants and utilized in hetrotic breeding. Moreover, due to superiority for most of the yield attributing traits such combinations including root parameters also could be utilized for Brassica genetic enhancement under rainfed conditions of Bihar.
Key words :
Brassica juncea, Eigen value, Genetic diversity, K-Mean clustering, Principal component analysis.