Vol. 7 (1) : January-February 2016 issue
Green Farming Vol. 7 (1) : 31-34 ; January-February, 2016
Principal component analysis of yield attributing traits in inter subspecific RILs of rice (Oryza sativa L.)
PRABHA R. CHAUDHARIb1*, D.K. MISHRAa2 and G.C. OJHAb3
aDepartment of Genetics & Plant Breeding, Jawaharlal Neharu Krishi Vishwa Vidyalaya, Jabalpur - 482 004 (M.P.), bDepartment of Genetics & Plant Breeding, Indra Gandhi Krishi Vishwavidyalaya, Raipur- 492 012 (Chhattisgarh)
Designation : 1Asstt. Professor *(chau.prabha@gmail.com), 2Professor, 3Res. Associate
Subject : Crop Genetics and Plant Breeding
Paper No. : P-3353
Total Pages : 4
Received : 20 February 2015
Revised accepted : 23 December 2015
Get Access
Citation :
PRABHA R. CHAUDHARI, D.K. MISHRA and G.C. OJHA. 2016. Principal component analysis of yield attributing traits in inter subspecific RILs of rice (Oryza sativa L.). Green Farming Vol. 7 (1) : 31-34 ; January-February, 2016
ABSTRACT
One hundred twenty one rice recombinant inbred lines were evaluated for 14 yield attributing traits. The result of the principal component analysis showed that four principal components (PCs) axes explained 69.74 of the total variations in the rice RILs population. The PC1 showed 25.44%, while PC2, PC3 and PC4 exhibited 16.78%, 12.81 and 9.50% variability respectively, among the RILs for the traits under study. Rotated component matrix revealed that each principal component separately loaded with various yield attributing traits. The PC1 and PC2 was mostly related to yield attributing traits. As PC1 was constituted by most of the yield attributing traits, intensive selection procedures can be designed to bring about rapid improvement of dependent traits for yield by selecting the lines from PC1. Identified RILs may be used as donor to improve the yield traits in varietal development programme and some of the rice RILs may also be used directly for cultivation purposes.
Key words :
Morphological traits, Principal component, Rice genotypes, RILs population, Variation, Yield attributes.