Indian Society of Genetics & Plant Breeding

Identification of maize (Zea mays L.) genotypes for rainfed condition based on modeling of plant traits

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Nine maize (Zea mays L.) genotypes were evaluated in 8
field experiments during
khari' (June to October) seasons
of 1994 to 2001 under rainfed conditions in a semi-arid
alfisol. Performance of these cultivars was analyzed based
on grain yield, dry weight, fresh weight, days to 75%
silking, anthesis to silking interval, and cob/plant height
ratio under above and below normal rainfall conditions.
When other plant traits were taken into account in addition
to grain yield, performance of some genotypes was
comparatively better. These included African Tall (fresh
weight, anthesis to silking interval and cob/plant height
ratio); DHM-105 (dry and fresh weight); HGT-3 (days to
75% silking); and Trishulata (fresh weight). Correlation
and regression analysis of plant traits with grain yield
indicated positive and significant relations between grain
yield, fresh and dry weights for all the genotypes. African
Tall was found to have a maximum yield predictability
2) of 0.97, while HGT-3 had the lowest predictability of
0.89. On the basis of estimates of sustainability measured
over different seasons DHM-105 and Trishulata were found
to be highly sustainable with an index of 0.96 and were
the potential maize cultivars suitable for rainfed conditions
in semi-arid alfisols.


Year: 2005
Volume: 65
Issue: 2
Article DOI: NA
Print ISSN: 0019-5200
Online ISSN: 0975-6906



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