RÉSUMÉ
The purpose of the present study was to evaluate the genetic variability and parameters such as genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), heritability, genetic advance, as well as perform correlation and path analyses on 20 different okra genotypes, including one check variety. The experiment was conducted during the kharif season of 2022 at the experimental farm of the Department of Genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences in Prayagraj, Uttar Pradesh. A randomized block design with three replications was employed for the study. Thirteen characteristics were observed and recorded, which includes: days to first flowering, days to 50% flowering, length of mature fruit (cm), diameter of fruit (cm), average fruit weight (gm), internodal length (cm), number of nodes on the main stem, number of primary branches, plant height (cm), number of fruits per plant, number of seeds per fruit, seed index (gm), and fruit yield per plant (gm). Azad Bhindi-1 exhibited the highest mean performance in terms of fruit yield per plant among all the genotypes. The PCV values were consistently higher than the corresponding GCV values for all traits, indicating the influence of environmental factors on trait expression. Fruit yield per plant and number of primary branches displayed the highest GCV and PCV values. The number of primary branches exhibited both high heritability and genetic advance. The correlation analysis revealed a positive and significant association between number of fruits per plant and fruit yield per plant at both the genotypic and phenotypic levels. The traits with the highest positive direct effects on fruit yield per plant were obsereved for average fruit weight and plant height, as determined through genotypic and phenotypic path analysis. These identified traits can serve as effective selection criteria for strategizing an efficient breeding programme to enhance fruit yield in okra.
RÉSUMÉ
Present study was undertaken to estimate the magnitude of genotype × environment interaction (GEI) and to identify stability of improved and high-yielding varieties of Indian mustard (Brassica juncea L. Czerns & coss.). The 57 Indian mustard genotypes were evaluated in RBD along with three replications during Rabi crop seasons in three environments. Analysis of variance on 14 traits was carried out individually as well as pooled over environments. Yield stability was analysed employing Eberhart and Russell’s model [1] which revealed highly significant differences among genotypes and environments. Mean squares due to environment + genotype x environment interactions (E + G x E) indicated that genotypes interacted considerably with environmental conditions. Further, partitioning of E+G x E effects indicated that E (linear), G x E (linear) components were highly significant for grain yield. Genotypes RH-749, DRMR 1165-40 X RH-406, DRMR IJ-31 X RH-749 had high mean than general mean coupled with regression coefficient close to unity bi = 1 and S2di = 0 and are identified as most stable and desirable Indian mustard genotypes.
RÉSUMÉ
The present study was designed to assess the extent of variability, genetic advance, heritability and correlation of different traits of 20 groundnut genotypes using randomized block design with three replications. The observations were recorded on five randomly selected plants from each treatment and replication for 15 different quantitative traits. Based on the mean performance, high pod yield per plant were identified for the genotype SC-28, VG-17 (CHECK). High estimates of GCV and PCV were recorded for number of branches per plant followed by days to germination, number of pegs per plant, plant height. Genetic parameters revealed that high heritability and genetic advance as % mean values were recorded for number of pegs per plant followed by plant height, biological yield per plant and 100 kernel weight. Correlation coefficient analysis revealed that pod yield per plant exhibited positive and significant association with number of branches and days to germination at genotypic and phenotypic levels. Path coefficient analysis revealed that characters viz.. harvest index, biological yield per plant, number of branches per plant, number of pods per plant, kernel yield per plant excetred positive direct effect on pod yield per plant at genotypic and phenotypic levels.