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Vol. 11, Issue 7 (2022)

Studies on heritability and genetic advance estimates of Maize (Zea mays L.) under diverse ecosystem

Author(s):
Viveka Nand Yadav, RK Yadav, HC Singh, Shweta, Ajay Kumar and Nrendra Kumar
Abstract:
15 diverse inbred lines, 3 testers of Maize and 45 F1s were derived using 15 X 3 Line X Tester design were evaluated in a RBD in three replication in two locations (Kanpur and Aligarh) and two seasons (Kharif and Rabi) along with composite and hybrid checks at Kanpur and Aligarh. The data were collected on five randomely selected plants from each parent and their F1s in each replication for 13 yield attributed traits namely Days to 50% tasseling, Days to 50% silking, Days to 75% dry husk, Plant height (cm), Number of cobs per plant, Cob weight (g), Number of grain rows per cob, Number of grains per row, Grain weight per cob (g), Shelling percentage (%), 100 kernel weight (g), Grain yield per plant and Seed vigour index. The data so generated were subjected for statistical analysis as usual procedure while heritability in narrow sense (Crumpacker and Allard 1962), broad sense as per Burton and de Vane (1953) and simillary genetic advance as per (Robinson et al. 1949). Heritability estimates were high for Cob weight, Number of grain rows per cob, Grain weight per cob and Grain yield per plant while moderate to low for rest of the characters. Results revealed low estimate of heritability for all the characters over the environments. Days to 75% dry husk, Plant height, Cob weight, Number of grain rows per cob, Grain weight per cob, Shelling percentage and Grain yield per plant showed moderate heritability. Estimates of genetic advance revealed low/ moderate estimate for all the thirteen characters over the environments. Therefore, improvement in these characters through selection seems to be very limited as low heritability coupled with low genetic advance reflected that almost all these characters were influenced by non-additive gene action
Pages: 1457-1461  |  249 Views  105 Downloads


The Pharma Innovation Journal
How to cite this article:
Viveka Nand Yadav, RK Yadav, HC Singh, Shweta, Ajay Kumar, Nrendra Kumar. Studies on heritability and genetic advance estimates of Maize (Zea mays L.) under diverse ecosystem. Pharma Innovation 2022;11(7):1457-1461.

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