GENERATION MEAN ANALYSIS FOR YIELD AND YIELD ATTRIBUTING TRAITS IN LINSEED (Linum usitatissimum L.)
| dc.contributor.advisor | Ram, Sohan | |
| dc.contributor.author | Kumar, Sanjay | |
| dc.date.accessioned | 2022-05-02T07:48:48Z | |
| dc.date.available | 2022-05-02T07:48:48Z | |
| dc.date.issued | 2019 | |
| dc.description | GENERATION MEAN ANALYSIS FOR YIELD AND YIELD ATTRIBUTING TRAITS IN LINSEED (Linum usitatissimum L.) | en_US |
| dc.description.abstract | An experiment was conducted at departmental research farm, BAU, Kanke, Ranchi and Zonal Research Station, Chianki during Rabi 2017-18 to investigate about variability, nature and magnitude of gene effects, their interactions, heterosis and inbreeding depression for twelve yield and yield attributing traits following five parameter model of generation mean analysis. Twenty five genotypes consisting of five parents, 6F1s, 6F2s, 6F3s, and two checks (T-397 and Parvati) were sown in randomized block design with three replications. The analysis of variance revealed highly significant differences among the treatments for all the characters under study at both the locations. The present investigation revealed high PCV and GCV at both the location for characters like, number of primary branches per plant, number of capsules per plant and seed yield per plant showing the presence of variability for the yield and yield attributing traits. At both the locations high heritability coupled with high genetic advance as percent of mean was seen for traits such as seed yield per plant, 1000-seed weight and oil content whereas, at Ranchi location technical height, plant height and number of capsules per plant and at Chianki location number of primary branches per plant exhibited locations high heritability coupled with high genetic advance as percent of mean indicating preponderance of additive gene action, therefore these traits might be useful in further breeding programme. With the help of scaling and joint scaling test presence or absence of epistasis and adequacy of additive-dominance model respectively were checked and accordingly five parameter model was followed for estimation of gene effect as well as presence of nonallelic interactions. Epistasis was observed in almost all the six crosses for the different traits studied. Duplicate epistasis was more prevalent than complementary epistasis at both the locations. Heterosis revealed that the crosses Himalsi-2 X Meera and Mukta X SLS-61 at Ranchi (L1) location and Himalsi-2 X SLS-61 at Chianki (L2) location were found to be the promising crosses because of its high yield, quality and disease resistance among the six crosses studied and thus could be utilized in future breeding programme. | en_US |
| dc.identifier.uri | https://krishikosh.egranth.ac.in/handle/1/5810184083 | |
| dc.keywords | GENERATION MEAN ANALYSIS FOR YIELD AND YIELD ATTRIBUTING TRAITS IN LINSEED (Linum usitatissimum L.) | en_US |
| dc.language.iso | English | en_US |
| dc.pages | 158 | en_US |
| dc.publisher | Birsa Agricultural University, Ranchi | en_US |
| dc.sub | Genetics and Plant Breeding | en_US |
| dc.theme | GENERATION MEAN ANALYSIS FOR YIELD AND YIELD ATTRIBUTING TRAITS IN LINSEED (Linum usitatissimum L.) | en_US |
| dc.these.type | Ph.D | en_US |
| dc.title | GENERATION MEAN ANALYSIS FOR YIELD AND YIELD ATTRIBUTING TRAITS IN LINSEED (Linum usitatissimum L.) | en_US |
| dc.type | Thesis | en_US |