Your browser doesn't support javascript.
loading
Montrer: 20 | 50 | 100
Résultats 1 - 6 de 6
Filtrer
Plus de filtres








Gamme d'année
1.
Article | IMSEAR | ID: sea-230773

RÉSUMÉ

The present experiment was conducted to study the variability, heritability and genetic advance in F2 segregating population derived from the cross, RNR-15048 x Dokra-Dokri, evaluated in augmented design with two checks at ICAR-IIRR, Hyderabad during the Kharif-2022. Analysis of variance revealed the presence of significant differences for all eleven traits examined, indicating the presence of genetic variation between the individuals studied. Higher values of Genotypic Coefficient of Variation (GCV) and Phenotypic Coefficient of Variation (PCV) were observed for panicle weight, number of filled grains, number of unfilled grains, total grains per panicle, and single plant yield. Least difference was observed between PCV and GCV value for almost all the traits indicating the little influence by the environment and possibility for genetic improvement of these traits through selection. The traits plant height, panicle weight, number of filled grains, number of unfilled grains, total grains per panicle, spikelet fertility, thousand grain weight and single plant yield recorded high heritability (>60%) associated with high genetic advance as percent of mean (>20) resulting in no environmental influence on the expression and selection for improvement of such characters could be worthwhile. High heritability coupled with moderate genetic advance as percent of mean was observed for panicle length propounding non-additive gene action in their inheritance suggesting heterosis breeding could be useful for improving these traits. Overall high PCV and GCV coupled with high heritability and high genetic advance as percent of mean was noticed for panicle weight, number of filled grains, number of unfilled grains, total grains per panicle, and single plant yield suggesting significant amount of variability with predominance of additive type of gene action. Hence, direct phenotypic selection.

2.
Article | IMSEAR | ID: sea-230227

RÉSUMÉ

A study on genetic variability of gladiolus (Gladiolus grandifloras L.) varieties under prayagraj agro-climatic conditions was carried out at Departmental research field of Horticulture, Naini Agriculture Institute during the Rabi season of 2021-2022 with ten cultivars in Randomized Block Design (RBD) with three replications viz.,. Punjab Flame, Source Biscuts, Arka Naveen, White Prosperity, Dhanvantri, Phule Neelrekha, Pusa Srijan, Arka Amar, Priscilla, Yellow Stone were evaluated. Out of these ten cultivars, genetic variability, heritability, phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV) and genetic correlation for the characters viz., plant height at (30, 60, 90 DAS), number of leaves per plant at (30,60,90 DAS), no. of shoot per plant, days taken for corm sprouting, rachis length, days taken to spike emergence, days taken colour break stage, no. of floret per spike, no. of spike per plant, no. of days taken for first basal open, no. of days taken for last floret open, spike length, floret diameter, weight of daughter corm, weight of mother corm, corm diameter, corm weight, no. of corm per hectare, and corm yield/ plant were observed. for all characters, the highest GCV and PCV were recorded for the characters viz., weight of daughter corm (g) (33.6786 and 47.569), number of leaves per plant at 30 DAS (25.70 and 37.81), number of leaves per plant at harvest (24.73 and 35.25), number of shoots per plant ( 25.47 and 31.19), weight of mother corm (25.18 and 33.90), corm weight (25.11 and 33.38), days taken for corm sprouting (23.7566 and 23.7566) and the lowest GCV and PCV were recorded for floret diameter (17.50 and 40.95).The genotypes Phule Neelrekha followed by Arka Amar were identified as high corm yielding and no. of cormsper hectare and produced more no. of spikes/ plot and also yield per plotwhich indicated that these genotypes have resultedfor higher yield and indicated good response to selection owing to their high heritability, variability and genetic advance showing additive gene effect. These genotypes can be used for improvement of yield and component traits by selection.

3.
Article | IMSEAR | ID: sea-230078

RÉSUMÉ

The existence of genetic variability within a population is a fundamental requirement for promoting the effectiveness of any breeding operation. The study was carried out at Dr. RPCAU's research farm located in Pusa Samastipur, Bihar, during the kharif season of 2019-20. The objective was to assess the genetic variability among 23 cowpea genotypes (22 genotypes from various locations in the country and 1 check genotype). The study employed a randomised block design, consisting of three replications and a total of fifteen characters were recorded during the study. The analysis of variance (ANOVA) revealed statistically significant mean sum of squares (MSS) values attributed to genotype for all recorded variables, suggesting the existence of a substantial amount of diversity across the cowpea genotypes utilised in the study. In general, the recorded values for the Phenotypic Coefficient of Variation were found to be higher than those for the Genotypic Coefficient of Variation. The study observed high heritability estimates and high genetic advance for various traits, including plant height, number of leaves per plant, stem thickness, leaf-to-stem ratio, dry matter percentage, leaf fresh weight per plant, dry weight of stem per plant, seed yield per plant, and dry matter yield per plant. These findings suggest that the influence of the environment on these phenotypes is minimal. One of the key conclusions drawn from the study is that the direct selection of these traits can be employed to enhance fodder characteristics in cowpea.

4.
Article | IMSEAR | ID: sea-229147

RÉSUMÉ

The experiment was carried out on Genetic variability and character association in eight genotypes of Ridge Gourd with three replications during summer season 2021-22 at the Research Field of Department of Horticulture, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, India. The observations were recorded on various yield and yield contributing characters of ridge gourd. The results from the present investigation revealed that on the basis of Based on mean performance for fruit yield per plant (2.17 kg) and fruit yield (88.35 q/ha), genotypes IET 2021/RIGVAR-6 were considered suitable genotypes in Prayagraj climatic condition. Coefficient of variation revealed that high magnitude of GCV and PCV were recorded for Fruit yield/ ha (q) and Average fruit weight (g). The heritability estimates were found to be high (greater than 60%). The genetic advance and genetic advance as a percentage of mean estimates were found to be significant (more than 20%). Genotypic correlation coefficient analysis revealed that fruit yield /ha (kg) showed positive significant association with Fruit length (cm) (0.024**), Fruit diameter (cm) (0.971**), Number of fruit per plant (0.331**), Average fruit weight (g) (0.940**) at genotypic level. Whereas Phenotypic correlation coefficient analysis revealed that fruit yield /ha (kg) showed positive significant association with Fruit length (cm) (0.347**), Fruit diameter (cm) (0.999**), Number of fruit per plant (0.653**), Average fruit weight (g) (0.999**) at phenotypic level.

5.
Article | IMSEAR | ID: sea-229133

RÉSUMÉ

Genetic variability is a major component which helps in selecting better genotypes under different environmental conditions. Thus, this study was conducted to understand the genetic variability and its components and their trait associations of yield characters from the cross of GKVK-13 and KCG-2 that contribute to the F6 and F7 families. In an augmented block design with three checks, TMV-2, KCG-6, and KCG-2, the study was carried out at the University of Agricultural Sciences, Bangalore, in the 2017 summer and Kharif (rainy seasons). Highly significant differences between the families were found in the analysis of variance for all the characters studied in the F6 and F7 generations, indicating that there is enough variation. Furthermore, medium to high Phenotypic coefficient of variation and Genotypic coefficient of variation values coupled with high heritability and medium to high genetic advance as per cent mean observed in most of the traits showed that the majority of the attributes were controlled by additive gene activity and that there was adequate variability. In addition, phenotypic correlation coefficients depicted significant positive associations for most of the traits studied. The implications of the results are discussed. The study concludes that there was the presence of additive genes controlling most of the traits and early selection of these traits is possible for groundnut improvement in the breeding programme.

6.
Article de Anglais | IMSEAR | ID: sea-167349

RÉSUMÉ

Selection which is the basis of every breeding programme operates only on variation which is of genetic nature. A wide range of variability present in any crop always provides the better chances of selecting desired types. A field experiment was carried out at Vegetable Research Farm, Department of Horticulture, Institute of Agricultural Sciences, Banaras Hindu University during 2012 to evaluate the diverse genotypes of tomato. Analysis of variance indicated highly significant differences among the genotypes for all the characters. The highest GCV and PCV were observed with the character fruit yield per plant followed by number of seeds per fruit. Whereas, the lowest GCV and PCV were recorded by the character days to 50% fruiting followed by days to 50% flowering. The heritability estimates were high for all the characters except number of branches per plant which showed moderate heritability. The maximum heritability was observed for number of seeds per fruit and average fruit weight. High GCV and heritability coupled with high genetic advance was observed for fruit yield per plant followerd by number of seeds per fruit indicating that they are governed by additive genes and could be effectively improved through selection.

SÉLECTION CITATIONS
DÉTAIL DE RECHERCHE