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P-ISSN: 2618-060X, E-ISSN: 2618-0618   |   NAAS: 5.20

2025, Vol. 8, Special Issue 1

Evaluation of genetic parameters for yield and its components in direct seeded rainfed rice (Oryza sativa L.)


Vivek Chandra, DJ Sharma, AP Agarwal, RB Tiwari, NK Chaure and Roshan Parihar

An experiment was carried out during Kharif season 2023 to estimate the genetic parameters of variation, correlation, direct and indirect effects of yield components on grain yield and genetic divergence in rice under rainfed condition. The experimental material consists fifty-seven rice genotypes including ten checks namely, Samleshwari, Bastar Dhan, Danteshwari, Sahbhagi Dhan-1, Narendra 97, Annada, Vandana, CR-Dhan-310, Protezin and Zinco Rice-MS were evaluated in a randomized block design (RBD) with two replications under direct seeded rainfed upland conditions. The analysis of variance of fifty-seven rice genotypes with nine quantitative characters was carried out and result indicated that there was significant differences present among the genotypes for all the quantitative traits studied. From the study of variability parameters, high to moderate estimates of GCV and PCV were observed for grain yield (q/ha) followed by filled grains per panicle, total number of grains per panicle, test weight (g) and plant height (cm) indicating the importance of selection for improving the grain yield in rice genotypes under rainfed upland condition. High heritability coupled with high genetic advance as percent of mean was observed for grain yield (q/ha), filled grains per panicle, total number of grains per panicle and test weight (g), suggesting that selection of these traits accumulate more additive genes leading to further improvement in their performance. The result of correlation revealed that grain yield (q/ha) had strong positive association with days to 50% flowering, days to maturity, panicle length (cm), filled grains per panicle, total number of grains per panicle, spikelet fertility (%) and test weight (g). The association studied indicated that grain yield of rice can be improved by selecting genotypes having higher performances for the above characters under rainfed upland condition. The path coefficient analysis between grain yield (q/ha) as dependent variable and its related traits indicated that traits viz. days to 50% flowering, days to maturity, panicle length (cm), filled grains per panicle and test weight(g) had high positive direct effect on grain yield (q/ha). On the basis of divergence analysis 57 genotypes were grouped into 11 clusters. The highest numbers of genotypes were present in cluster I which have 34 genotypes. The minimum inter cluster distance occurred between cluster VIIⅠ and cluster XI showing that the genotypes in these clusters were relatively less diverse. Maximum inter-cluster distance was observed between cluster VII and XI. The maximum inter cluster distance revealed that using parents from these clusters in a hybridization programme will result in a higher frequency of better segregants or desired pairings, which is important for the generation of valuable varieties. The contribution of traits to divergence was greatest for test weight(g), filled grain per panicle, grain yield (q/ha) and plant height(cm).Genotypes IR17A2769, R2739-86-1, R2744-119-1, R2744-19-1 and JDP-1212 were found to be the top 5 promising genotypes for yield and yield contributing traits under rainfed upland condition. Hence, these genotypes can be further promoted for advanced trails.
Pages : 224-229 | 88 Views | 37 Downloads
How to cite this article:
Vivek Chandra, DJ Sharma, AP Agarwal, RB Tiwari, NK Chaure, Roshan Parihar. Evaluation of genetic parameters for yield and its components in direct seeded rainfed rice (Oryza sativa L.). Int J Res Agron 2025;8(1S):224-229. DOI: 10.33545/2618060X.2025.v8.i1Sd.2377
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