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Thus, it may be concluded that the variance due to gca is by and large more important in a crop like wheat. However, both gca and sea variances were highly influenced by their interaction with environments. The sea variance was more pronounced for grain yield than the other yield components. Most of the sea was retained in the successive generations. This is encouraging because it indicates the fixable nature of non-additive gene effects. In a crop like wheat, this is important because commercial hybrid production is not the objective. But the genie interactions that would be fixable would lead to transgressive segregation wherein some segregants would exceed the limits of their parents.

A perusal of the general combining ability (gca) estimates
(Table 2) showed the transcendency of the parents HD 2204 and Raj 1482 for grain yield as good general combiners (on the basis of F2 analysis) while Brochis was a consistently low combiner for grain yield. The two high combiners for grain yield also showed superior high combining ability for some of the component traits. Parent HD 2204 was also a high combiner for earliness, dwarfness, number of grains per spike, grain weight per spike and 1000 grain weight. Similar results were shown by parent Raj 1482 but it was not a high combiner for 1000 grain weight. It was an average combiner for grain weight per spike and a low combiner for 1000 grain weight.

Apparently, therefore, there is still further scope for improving upon the combining ability for component traits as none of the high combiners for grain yield was a high combiner or at least an average combiner for all the desirable traits. As compared to this, the lowest combiner Brochis was average to low combiner for all the component traits. Almost similar situation was shown by other low combiners, namely, Pavon and Kharchia 65. Other parent Moncho was high combiner only for spike length, number of spikelets per spike, number of grains per spike; WL 711 for spike length; D65 for 1000 grain weight; Raj 821 for earliness, 1000 grain weight and parent Chiroca for number of spikelets per spike, number of grains per spike and grain weight per spike.

It seems feasible, therefore, that the gca rank for grain yield is related to the gca for the useful yield components. It is, therefore, recommended that breeders should breed for superior combining ability for the component traits with an ultimate objective to improve the overall gca for grain yield in wheat. The parents HD 2204 and Raj 1482 could be utilized extensively in hybridization programme to accelerate the pace of genetic improvement of grain yield in bread wheat.

The analysis of specific combining ability (sea) effects revealed that nine crosses showed high sea on the basis of F1 analysis but in the F2 only three crosses seemed to show high sea for grain yield. However, cross WL 711 x Chiroca showed the highest sea effects for grain yield in both F1 and F2 generations. This cross also exhibited maximum heterosis of 89 per cent for grain yield. Apart from this cross, however, there seems to be no correlation between the rank for sea and the rank for heterosis. This could be expected, because heterosis estimates are worked out from the mean values whereas the sea estimates are related to the gca of parents. The most consistent cross for high sea effects was Kharchia 65 x Chiroca which showed high sea under all situations. Other best crosses for grain yield was Brochis x Kharchia 65, Brochis x Raj 821 and Brochia x D 65. All the best crosses for grain yield also showed average to high sea for most of the yield components. It is, therefore, recommended that new materials are used in future breeding programmes for recombining the desirable traits in the envisaged elite genotypes.

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