Generation Mean Analysis: A Case study of variance components in KSC 500 generations of maize (Zea mays L.)
Journal Title: International Research Journal of Applied and Basic Sciences - Year 2014, Vol 8, Issue 2
Abstract
The choice of selection and breeding procedures for genetic improvement of maize or any other crop largely depends on the type and relative amount of genetic components and presence of non-allelic interaction. In this study by using generation mean analysis method (Mather and Jinks 1982), six generations (P1, P2, F1, F2, BC1 and BC2) from cross of corn, R59 (P1) × OH43/1-42(P2) was evaluated for several agronomic traits including yield and its components at Torough Agricultural Station of Khorasan-e-Razavi Agriculture and Natural Resources Research Center, Mashhad, Iran, in the 2013 growing season. The experiment was carried out as a randomized complete block design with three replications. The results showed significant differences among generations for all traits. dominance variance was more important than additive variance for most of the traits such as leaves no. ,leaf aria, ear length, kernel no. ,kernel depth, 1000 grain weight and days to anthesis, which justifies the production of hybrid varieties in maize. Broad sense heritability of traits were 0.23-0.88 for this cross. The estimated number of genes controlling grain yield trait ranged from 2 to 4.
Authors and Affiliations
Pariya Dorri*| MSc, Science and Research Branch, Payam nor University, Mashhad,Iran, email: Dorripariya@yahoo.com, Saeed Khavari Khorasani| Assistant Professor, Seed and Plant Improvement Division (SPII), Khorasan Razavi Agriculture and Natural Resources Research Center, Mashhad, Iran, Mohsen Shahrokhi| MSc of Plant Breeding, Science and Research Branch, Islamic Azad University, Tehran, Iran
Keywords
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