Vol. 9 (6) : November-December 2018 issue
Green Farming Vol. 9 (6) : 934-938 ; November-December, 2018
Combining ability studies for yield, yield components and nutritional traits in greengram (Vigna radiata (L.) Wilczek)
S. KALPANA1*, N.V. NAIDU2 and D.M. REDDY3
Department of Genetics and Plant Breeding, S.V. Agricultural College, Tirupati - 517 502 (Andhra Pradesh)
Designation : 1Research Scholar *(skalpanaag@gmail.com), 2Director of Research, 3Professor
Subject : Crop Genetics and Plant Breeding
Paper No. : P-7466
Total Pages : 5
Received : 26 October 2018
Revised accepted : 01 December 2018
First Page
Citation :
S. KALPANA, N.V. NAIDU and D.M. REDDY. 2018. Combining ability studies for yield, yield components and nutritional traits in greengram (Vigna radiata (L.) Wilczek). Green Farming Vol. 9 (6) : 934-938 ; November-December, 2018
ABSTRACT
Five lines were crossed with four testers in L x T fashion to assess the general combining ability (GCA) of parents, specific combining ability (SCA) of crosses and to determine the mode of gene action involved in the inheritance of yield attributes and nutritional traits. The analysis of variance for combining ability revealed higher magnitude of sca variances than gca variances denotes the predominance of non-additive gene action for most of the yield contributing traits and nutritional traits. Further the ratio of variance due to general and specific combining ability was less than unity for all the traits also confirmed the role of non-additive gene action in governing these traits. LGG-407, LGG-460, LGG-574, Pusa Vishal, IPM-2-14, and PM-5 were identified as best combiners for most of the yield and nutritional traits. Based on the per se performance and sca effects the crosses LGG-574 × Pusa Vishal, LGG-574 × PM-5, LGG-460 × Pusa Vishal, LGG-460 × IPM-2-14 and LGG-407 × PM-5 were identified as superior crosses that could be exploited for developing high yielding lines with improved nutritional traits in greengram.
Key words :
Combining ability, GCA, Mungbean, Quality traits, SCA, Yield components.