Vol. 7 (6) : November-December 2016 issue
Green Farming Vol. 7 (6) : 1331-1335 ; November-December, 2016
Genetic divergence and cluster analysis for yield and its contributing traits in soybean (Glycine max L. Merrill)
SUNIL CHAUDHARI1*, DHIRENDRA KHARE2 and MADHU PRAKASH3
Deptt. of Plant Breeding and Genetics, J.N. Krishi Vishwavidhyalaya, Jabalpur - 482 004 (Madhya Pradesh)
Designation : 1Ph.D. Scholar *(schoudhary612@gmail.com), 2Principal Scientist & Director Inst., 3P.G. Student
Subject : Crop Genetics and Plant Breeding
Paper No. : P-4757
Total Pages : 5
Received : 28 January 2016
Revised accepted : 08 November 2016
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Citation :
SUNIL CHAUDHARI, DHIRENDRA KHARE and MADHU PRAKASH. 2016. Genetic divergence and cluster analysis for yield and its contributing traits in soybean (Glycine max L. Merrill). Green Farming Vol. 7 (6) : 1331-1335 ; November-December, 2016
ABSTRACT
Genetic divergence or the presence of substantial genetic variation in the breeding population is one of the prerequisite for genetic gain in any crop improvement program. Therefore, the present study was attempted to assess the genetic variation present in advance soybean genotypes for different agronomic traits which can be used to decide a sound breeding program for genetic improvement in this crop. A set of fifty advance genotypes of soybean were evaluated in completely Randomized block design with three replications at College of Agriculture, Jabalpur, India during rainy 2014-15. The results revealed significant genotypic variation for all the traits under study except number of primary branches per plant, pod length and seeds per pod. Diversity study among the genotypes revealed that 50 genotypes were grouped into 10 clusters. Cluster I having highest number of genotypes (14) followed by cluster II (12) and III (10). Maximum contribution towards divergence was reported for growing degree days followed by seed yield per plant and days to maturity. High heritability coupled with high genetic advance as per cent of mean was observed for number of pods per plants, hundred seed weight, seed yield per plant and harvest index indicates that improvement in these traits can be done by selecting superior plants. The diversity in early flowering, maturity and yield can be exploited for breeding early maturing varieties with higher yield.
Key words :
Correlation Co-efficient, Diversity, GCV, Genetic divergence, PCV, Soybean genotypes, Yield attributes.