Diversity Analysis and GMS Hybrid Performance for Carotenoids and Flower Yield in Marigold (Tagetes erecta L.)
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Date
2012
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Publisher
IARI, Division of HORTICULTURE
Abstract
Twenty-two genotypes of marigold (Tagetes erecta L.) were evaluated for 16
quantitative traits to study their genetic parameters such as variability, heritability, genetic
(GCV) and phenotypic (PCV) coefficient of variation, correlation and path analysis.
Analysis of variance showed highly significant differences among genotypes for all the
growth and flowering related traits. The high genotypic and phenotypic coefficient of
variation was observed for flower yield per plant, fresh weight per flower and stalk length.
High heritability (>70%) were recorded for stalk length, stem diameter, flower diameter,
fresh weight per flower, dry weight per flower, flower yield per plant and 1000 seed weight.
High heritability along with high genetic advance as per cent of mean was observed for stalk
length, flower diameter, fresh weight per flower, flower yield per plant and 1000 seed
weight revealing the importance of additive gene effects for these traits. Flower yield per
plant was found to be significant and positively (genotypic and phenotypic) correlated with
duration of flowering, number of flowers per plant, flower diameter, fresh weight per flower
and dry weight per flower. Path coefficient analysis (genotypic) revealed that traits like days
to flowering, stem diameter, number of primary branches, number of secondary branches,
duration of flowering, number of flowers per plant, flower diameter, fresh weight per flower
and harvest index showed positive direct effects on flower yield per plant. Hence, selection
for these traits would be effective for flower yield improvement in marigold. The clustering
pattern based on Mahalanobis D2 statistic indicated the existence of wide genetic divergence
among genotypes for various quantitative traits studied and categorised genotypes into
seven distinct clusters. The highest inter cluster distance was observed between VII and III
(8.98) whereas the lowest was found between V and I (3.10). The genetic diversity observed
within and between the clusters can be utilized in selection of genetically diverse genotypes
which is important for exploitation of heterosis and development of desirable recombinants.
Description
T-8780