Heterotic Classification of Inbred Lines of Maize Based on Combining Ability for Kernel Yield

I. Sudhir Kumar *

All India Coordinated Research Project on Maize, Agricultural Research Station, Peddapuram-533437, India.

D. Keerthana

PG Student, Genetics and Plant Breeding, Agricultural College, Bapatla, Angrau-522101, India.

V. Sujatha

All India Coordinated Research Project on Maize, Agricultural Research Station, Peddapuram-533437, India.

P. Bharat Chandra

All India Coordinated Research Project on Maize, Agricultural Research Station, Peddapuram-533437, India.

*Author to whom correspondence should be addressed.


Abstract

Grouping of maize inbred lines into heterotic groups is an initial step in exploitation of heterosis. Hence a field study was conducted to classify 27 inbred lines into two heterotic groups by evaluating the performance of 54 crosses along with lines and testers in a simple lattice design. The 27 inbred lines were crossed to two broad based heterotic testers. Highly significant differences were noticed for kernel yield per plant, days to anthesis, days to silking and plant height among all the genotypes. One cross PI 330 × LM 13 was found to be promising among the crosses. Highly significant GCA and SCA effects for kernel yield per plant was recorded. Five inbred lines were identified as good general combiners for kernel yield per plant while nine test crosses were found to be good specific combiners. Out of 27 inbred lines, the testers could classify 15 inbred lines into heterotic groups based on GCA and SCA effects and mean kernel yield per plant. The study demonstrated the applicability of combining ability effects in classifying the inbred lines.

Keywords: Combining ability, heterotic group, tester, maize, kernel yield


How to Cite

Kumar, I. S., Keerthana, D., Sujatha, V., & Chandra, P. B. (2023). Heterotic Classification of Inbred Lines of Maize Based on Combining Ability for Kernel Yield. International Journal of Environment and Climate Change, 13(4), 234–241. https://doi.org/10.9734/ijecc/2023/v13i41732

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