Diversity Analysis and GMS Hybrid Performance for Carotenoids and Flower Yield in Marigold (Tagetes erecta L.)

dc.contributor.advisorKanwar Pal Singh
dc.contributor.authorSAPNA PANWAR
dc.date.accessioned2016-08-22T09:02:34Z
dc.date.available2016-08-22T09:02:34Z
dc.date.issued2012
dc.descriptionT-8780en_US
dc.description.abstractTwenty-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.en_US
dc.identifier.urihttp://krishikosh.egranth.ac.in/handle/1/73225
dc.publisherIARI, Division of HORTICULTUREen_US
dc.subHorticulture
dc.these.typePh.D
dc.titleDiversity Analysis and GMS Hybrid Performance for Carotenoids and Flower Yield in Marigold (Tagetes erecta L.)en_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Final-Thesis-Sapna.pdf
Size:
14.81 MB
Format:
Adobe Portable Document Format
Description:
T-8780
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.28 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections