Elucidation of Genetic Parameters, Trait association and Diversity Analysis in Indian mustard (Brassica juncea L. Czern & Coss)
| dc.contributor.author | Shubham Kumar | |
| dc.date.accessioned | 2024-10-09T06:02:02Z | |
| dc.date.available | 2024-10-09T06:02:02Z | |
| dc.date.issued | 2023-07 | |
| dc.description.abstract | ABSTRACT Name : Shubham Kumar Id. No. : 3833 Major : Genetics and Plant Breeding Degree : M.Sc (Ag.) Department : Genetics and Plant Breeding Minor : Ag. Biotechnology Advisor : Dr. Mukesh Kumar Thesis title : “Elucidation of Genetic Parameters, Trait association and Diversity Analysis in Indian mustard (Brassica juncea L. Czern & Coss).” The present investigation was carried out at Crop Research Centre of Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut, U.P during 2021-22 with 44 diverse genotypes of Indian mustard using Randomized Complete Block Design with three replications. The observations were recorded on various characters viz; days to 50% flowering, days to maturity, plant height, number of primary branches per plant, number of secondary branches per plant, number of pod on main shoot, length of main shoot, pod length, number of seeds per pod, test weight, biological yield per plant, harvest index, oil content and grain yield per plant. Analysis of variance revealed substantial amount of variability for all fourteen characters. It indicates the wide spectrum of variability among the genotypes. The phenotypic coefficient of variation (PCV) were greater than the genotypic coefficient of variation (GCV). The phenotypic and genotypic coefficient of variation was found to be high for number of secondary branches per plant, grain yield per plant and biological yield per plant. Moderate (10-20%) GCV and PCV was recorded for number of primary branches per plant, number of pod on main shoot, length of main shoot, pod length, number of seeds per pod, test weight and harvest index. It is interesting to note that the differences between GCV and PCV values were minimum implying least influence of environment. The characters grain yield per plant, number of secondary branches per plant, biological yield per plant, harvest index, plant height, number of seeds per pod and test weight revealed high heritability. Most of the characters viz., grain yield per plant, number of secondary branches per plant, biological yield per plant, harvest index, test weight, number of seeds per pod, number of pod on main shoot and number of primary branches per plant had shown high genetic advance as per cent mean. However, the direct selection of genotypes can be done through these characters for further improvement of genotypes. The characters grain yield per plant, biological yield per plant, number of secondary branches per plant, test weight, number of seeds per pod had shown high heritability coupled with high genetic advance in percent of mean. Highly significant and positive association was displayed by grain yield per plant with biological yield per plant, harvest index, number of secondary branches per plant, test weight, number of seeds per pod, number of pod on main shoot and pod length while positive significant association shown by number of primary branches per plant at both genotypic and phenotypic level. This could be because of linkage of genes determining these characters. The analysis of path emphasized that the characters viz., biological yield per plant, harvest index, number of primary branches per plant, oil content, number of pod on main shoot and days to 50% flowering showed positive and direct effect on seed yield at genotypic level and phenotypic level should be taken into consideration for formulating selection breeding programme in order to bring about improvement in the populations. Based on D2 values 44 genotypes were grouped into 7 clusters, maximum genotypes ten obtained in cluster II followed by cluster VII with nine genotypes, cluster I with seven genotypes, cluster IV and V with five genotypes each. The maximum intra cluster distance was recorded in cluster III while the cluster I showed minimum intra cluster distance. Genotypes belonging to cluster III (RGN-507, PDZ-14, PDZ-1 and PDZ-15) exhibited maximum genetic diversity within the cluster as compared to the genotypes belonging to other clusters. Hence, hybridization might be taken up among these genotypes (RGN-507, PDZ-14, PDZ-1 and PDZ-15) for obtaining desirable segregants for the yield and yield component traits. The maximum inter cluster distance was revealed between cluster II and IV, which shows the greater genetic divergence between the genotypes associated to these clusters and crosses involving genotypes like RH-1934, PM-30, RH-1807, CS- 2005-143, RH- 1975, RH-1706, Varuna, LES-60, JC-36 and CS-54 of cluster II; RB-109, NPJ 252, Baum-21-1, SKM-1744 and SKM-1801 of cluster IV is recommended. Crosses within the above combinations are expected to provide enough genetic variability among the population in the segregating generations. Hence, selection of better plant type might be made for yield and yield component traits. High hybrid vigor for yield also can be obtained by involving genetically diverse genotypes in the crosses which might be useful in the development of hybrids in Mustard. (Mukesh Kumar) (Shubham Kumar) Advisor Author | |
| dc.identifier.uri | https://krishikosh.egranth.ac.in/handle/1/5810215540 | |
| dc.publisher | Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut - 250110 | |
| dc.sub | Genetics and Plant Breeding | |
| dc.theme | Elucidation of Genetic Parameters, Trait association and Diversity Analysis in Indian mustard (Brassica juncea L. Czern & Coss) | |
| dc.these.type | M.Sc | |
| dc.title | Elucidation of Genetic Parameters, Trait association and Diversity Analysis in Indian mustard (Brassica juncea L. Czern & Coss) | |
| dc.type | Thesis |