Browsing by Author "Yogendra Prasad"
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ThesisItem Open Access GENETIC DIVERSITY STUDIES IN OAT (Avena sativa L.) FOR FORAGE YIELD AND QUALITY PARAMETERS(Birsa Agricultural University, Ranchi, 2023) Swati; Yogendra PrasadThe present investigation was carried out at Forage Research Farm, RVC, Birsa Agriculture University, Ranchi during Rabi 2021-22. The experimental material for the present study comprised of thirty-four oat genotypes including three checks. The field experiment was laid out in Randomized Block Design (RBD) in three replications and data were recorded for fourteen morphological, quality and yield attributing traits. Data were analysed to find out the estimate of variability, heritability (broad sense), genetic advance, correlation coefficient and path coefficient. The analysis of variance revealed highly significant difference among the genotypes for all the yield attributing traits. Wide range of variability was found in days to 50% flowering (89.3-101.7), plant height (91.7-112.3 cm) and number of tillers per meter length (111-213.3). The highest genotypic variance was observed in number of tillers per meter length (908.3). The highest phenotypic variance was recorded in number of tillers per meter length (1197.7). The character which showed higher GCV was crude protein % (20.34) and the characters which showed higher PCV was no. of tillers/meter length (21.10) and crude protein % (20.70). High heritability coupled with high genetic advance expressed in percentage of mean was observed for two characters viz., crude protein % and number of tillers per meter length. In the present experiment green fodder yield showed a positive significant correlation with days to 50% flowering, leaf /stem ratio and crude protein. All the genotypes were grouped into thirteen clusters. Cluster-I having the largest number of genotypes i.e., twelve genotypes followed by cluster-II having six genotypes, cluster-IX and cluster-XI having three genotypes each and rest are having one genotype each in clusters-III, IV, V, VI, VII, VIII, X, XII & XIII. The maximum contribution towards divergence was observed for Crude protein (41.1 %) followed by days to 50 % flowering (20.9%), dry matter yield (14.4 %) and ADF (13.01 %). The genotypes HFO-904, HFO-619 and SKO-240 were the most promising ones and they may be adapted to the agro-ecological condition of Jharkhand. This can bring substantial increase in green fodder yield and crude protein (%). Besides this some of the germplasm can be selected for use as donors for many favorable traits in future breeding programme.ThesisItem Open Access Study of Variability, Correlation And Path Analysis In Some Fastigiata Genotypes of Groundnut ( Arachis hypogaea L.)(69, 2000) Yogendra Prasad; D.K. GanguliThe present investigation was carried out on thirty groundnut (Arachis hypogaea L.) genotypes belonging to fastigiata group. The material was sown in three replications in randomized block design during Kharif season of 1999. The plant character studied were days to first flowering days to 50 percent flowering, height of the main axis number of primary branches, number of pods per plant , shelling percentage, percentage of sound mature Kernel , 100- Kernal weight , pod yield per plant and harvest index. The observed data were analysed and genetic parameters viz. variability, heritability (broad sense) genetic advance, correlation coefficient and path coefficient were estimated. Analysis of variance for all the above quantitative characters revealed highly significant differences among the thirty genotypes. High phenotypic and genotypic coefficient of variability could be recorded for height of main axis , number of primary branches, number of pods per plant ,100-Kernel weight, pod yield per plant and harvest index, pod yield per plant, height of main axis and number of pod per plant. Pod yield per plant was found to be positively and significantly correlated with number of primary branches , number of pods per pant and harvest index. However, its association was significantly negative with height of main axis both at phenotypic as well as genotypic levels. Path coefficient analysis indicated high positive direct effect of number of