VARIABILITY AND EARLY GENERATION SELECTION RESPONSE FOR PRODUCTIVITY RELATED TRAITS IN SAFFLOWER (Carthamus tinctorius L.)
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Date
2001-08-07
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UNIVERSITY OF AGRICULTURAL SCIENCES GKVK BANGALORE
Abstract
Two hundred and ninty six progenies of safflower derived from 10 different segregating
populations were studied for variability and early generation selection response for productivity
related traits. The mean squares due to genotype were significant for majority of the characters in
all the progenies. The highest GCV and PCV were observed for seed yield, test weight and
number of seeds per capitulum. The GCV and PCV in different progenies suggest that, the
variability generated depends to a large extent on the parental genotypes and the trait under
consideration. High heritability coupled with high genetic advance was observed for test weight
and number of seeds per capitulum in all the groups of progenies suggesting the additive gene
action for these traits.
The seed yield had strong and positive association with number of capitula per plant,
number of branches and test weight and negative association with oil content and number of
seeds per capitulum. On the other hand, oil content was positively associated with number of
seeds per capitulum and capitulum diameter. Path analysis indicated that, number of capitula,
test weight, number of seeds per capitulum and capitulum diameter had higher direct effect on
seed yield. Hence, combination of these four characters in optimum proportion would constitute
a desirable plant type for high oil yield.
Intergeneration correlation and heritability estimates revealed that, seed yield is highly
influenced by environmental conditions. Hence, early generation selection for seed yield may be
based on component traits such as test weight, number of seeds per capitulum, capitulum
diameter and number of capitula per plant.
The gaint, bushy and basal branching mutants did not breed true. The spinelessness and
white flower colour appeared to be governed by recessive genes. A few progenies with high oil
yield have been identified for further testing.
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