scholarly journals Genetic Variability, Association and Path Coefficient Analyses in Segregating Populations of Black Gram (Vigna mungo (L.) Hepper)

2021 ◽  
Vol 108 ◽  
Author(s):  
Sathya P ◽  
◽  
Manivannan N ◽  
Viswanathan P L ◽  
Ganapathy N ◽  
...  

The experiment was conducted at the National Pulses Research Centre, Vamban, during Kharif 2020. F2 generation of four crosses was utilized in this study. Around 150-200 single plants per cross were used for observation. The traits viz., plant height, number of branches per plant, number of cluster per plant, number of pods per cluster, number of pods per plant, 100 - seed weight and seed yield per plant recorded high PCV, GCV, high heritability along with high genetic advance as per cent of the mean. It indicated that these traits were less influenced by the environment and possessed high genetic variability. Also, these traits had a positive and significant correlation with seed yield in most of the crosses. The trait number pods per plant recorded positive and high direct effects on seed yield. Hence, based on correlation and path analyses, the number of pods per plant can be considered as a selection index for seed yield improvement programme in blackgram. However, population-specific selection indices are preferred as the association of traits varies with the populations

2017 ◽  
Vol 4 (04) ◽  
Author(s):  
R. S. MEENA ◽  
LAD DHAKAR

To know the extent and pattern of genetic variability exist in fennel (FoeniculumvulgareMill.), a studywere undertaken for at ICAR-National Research Centre on Seed Spices, Ajmer (Rajasthan) India. Analysis of variance wasworked out and it was recorded that most of trait understudy were found significant whereas test weight (g), seed yield per plot (kg) and essential oil were found non-significant. Results revealed that maximum PCV along with GCV were found fornumber of umbels per plant (24.65), seed yield per plot (21.74) and number of secondary branches (20.93). Very high heritability was observed for seed yield per plot (96.1) and number of umbels per plant (94.9). Likewise genetic advance was recorded highest for number of umbels per plant (24.25) and seed yield per plot (0.53). Seed yield was significantly and positively correlated with number of umbellets per umbel (0.329*), test weight (0.371*) and essential oil (0.371*) at genotypic and phenotypic level. Path coefficient analysis exhibit that number of umbels per plant (7.09) had highest positive direct effect on funnel seed yield.


Author(s):  
Mohd Abdus Subhan Salman ◽  
Ch. Anuradha ◽  
V. Sridhar ◽  
E. Ram Babu ◽  
SNCVL Pushpavalli

Background: Green gram [Vigna radiata (L.) Wilczek] is an ancient and well known pulse crop of Asian countries. Specific traits should be considered for high yield in green gram as selection criteria in future breeding program.Methods: The investigation material comprised of 128 F6 RIL (Recombinant Inbred LINE) population sown at college farm, Professor Jayashankar Telangana State Agricultural University during Rabi-2019-20. The yield and yield attributes were recorded to conduct genetic variability, heritability broad sense (h2), genetic advance (GA) and genetic advance as % of mean (GAM).Result: Analysis of variance revealed significant differences among the RILs, indicating the presence of genetic variability for almost all the traits studied. High PCV and GCV estimates was noticed for number of pods per plant, seed yield per plant, number of cluster per plant and number of pods per cluster. High heritability along with high genetic advance as per cent of mean was observed for number of pods per plant, seed yield per plant, number of cluster per plant, number of pods per cluster, number of branches per plant, number of seeds per pod and plant height indicating the role of additive genes in governing the inheritance of these traits and could be improved through selection. The traits viz. seed yield per plant, number of pods per plant, number of clusters per plant and number of pods per cluster had recorded high PCV, GCV, high heritability along with high genetic advance as per cent of mean indicated these traits were less influenced by environment and possess high genetic variability. Hence these RILs would be suitable for green gram breeding programmes to develop improved varieties. The present findings of the RIL population will be useful for development of high seed yielding variety in green gram.


Genetika ◽  
2004 ◽  
Vol 36 (1) ◽  
pp. 69-81 ◽  
Author(s):  
S.P. Singh ◽  
S. Shukla ◽  
H.K. Yadav

The extent of genetic variability, heritability, correlation coefficient and path analysis were analyzed for opium yield, seed yield and eight component traits in a group of 101 germplasm lines of different ecogeographical origin. Heritability was high for all the characters except capsules/plant. High heritability coupled with high genetic advance and coefficient of variability was noticed for capsule weight/plant, capsule area, husk yield/plant, seed yield/plant, opium yield/plant and leaves/plant. Opium yield, seed yield, husk yield and capsule weight exhibited positively significant correlation among themselves and these four characters had also positive significant genotypic correlation with plant height, branches/plant, capsules/plant, capsule area and leaves/plant. Path coefficient analysis indicated that capsule weight/plant had highest direct path towards opium yield (2.267) followed by capsules/plant (0.291), capsule area (0.203), plant height (0.155) and leaves/plant (0.101). Considering the direct and indirect selection of major contributors, a plant type in opium poppy (Papaver somniferum L.) based on multiple selection index has been discussed to enhance opium yield on one hand and dual purpose varieties (opium and seed yield) on the other hand.


2019 ◽  
Vol 48 (2) ◽  
pp. 253-263
Author(s):  
Vivek K Singh ◽  
RK Sheoran ◽  
Subhash Chander ◽  
Bunty Sharma

Fifty accessions of sunflower germplasm were characterized and evaluated for seed yield and its components traits to study the variability present among different germplasm lines. Significant amount of genetic variability was observed for all the characters under study. Seed yield and hull content were identified for highest genotypic (27.08 and 20.14%, respectively) and phenotypic coefficients of variation (27.89 and 20.64%, respectively) and also for high heritability (97.46 and 97.28%, respectively) coupled with high genetic advance (52.19 and 40.49%, respectively) over mean followed by duration of reproductive phase, oil content, 100-seed weight and plant height. Qualitative traits also showed wide variation among the accessions. Majority of the accessions were early in flowering, medium in maturity and medium in head diameter. Among all the accessions, ten lines were observed with short height and ten lines showed high oil content (> 40%). Maximum genetic distance was observed between the accessions EC-601800 and EC- 512687 and utilization of these accessions has been advocated in breeding programme. The results of the present study can be useful for the formation of data base and reference lines, genotype identification and will also be helpful in amplification of future sunflower improvement programme.


Author(s):  
Vijay Pratap ◽  
Vijay Sharma ◽  
Kamaluddin . ◽  
Gaurav Shukla

Background: Assessment of genetic variability and inter-relationship between the characters can be used in the breeding programme to evolve new varieties with wide genetic diversity to maximize the yield potential in crop improvement programmes. Eighty-four field pea genotypes were evaluated in an augmented block design for thirteen quantitative traits to study variance components, heritability, genetic advance and inter-relationship between the yield and yield contributing traits. Methods: The extent of phenotypic and genotypic variation that exist in a character was calculated by the formula suggested by Burton and de Vane (1953). Heritability in broad sense and genetic advance as per cent of mean for each character was computed using the formula suggested by Hanson et al. (1956) and Johnson et al. (1955), respectively. Correlation coefficient was calculated by method suggested by Searle (1961) and path coefficient analysis done as per method of Wright (1921) and elaborated by Dewey and Lu (1959).Result: Significant differences observed among the genotypes tested for the yield characters indicated the presence of variability. High heritability coupled with high genetic advance as percent of mean was observed for the traits viz., plant height, effective pods plant-1, harvest index and seed yield plant-1 were governed by additive gene effects which will aid in effective selection. Correlation coefficient analysis revealed that seed yield plant-1 had highly significant and positive correlation with biological yield plant-1, effective pods plant-1, harvest index, seeds pods-1 and effective nodes plant-1, indicating that these traits are strongly associated with seed yield in field pea. Path coefficient analysis identified biological yield plant-1 followed by harvest index, seed pod-1, effective nodes plant-1, 100-seed weight and day to 50% flowering as highly desirable components with great direct effects on seed yield. 


1989 ◽  
Vol 37 (2) ◽  
pp. 119-127 ◽  
Author(s):  
A. Elgersma ◽  
A.P.M. Den Nijs ◽  
F.A. Van Eeuwijk

Genetic variation for seed yield components was studied in 4 diploid varieties of Westerwold ryegrass, and 19 genotypes from each variety were grown in the field in 2 clonal replicate rows (minirows). The number of inflorescences/minirow, the numbers of spikelets/inflorescence and florets and seeds/spikelet, 1000-grain weight and seed yield/minirow were determined. Floret site utilization (FSU) was calculated as (seeds/floret) x 100%. Genotypic variation and heritabilities were calculated. Correlation studies and path analyses were carried out in each variety separately. Among varieties, no significant differences occurred for seed yield. However, within varieties large genetic variation was present for both seed yield and yield components. Path analyses revealed that relationships between seed yield components differed to a great extent among varieties. FSU was the major yield component in 3 varieties, but in one variety inflorescence number was the most important yield component. There was ample scope for genetic improvement of seed yield. FSU had a very high heritability and was not correlated with any of the other seed yield components. (Abstract retrieved from CAB Abstracts by CABI’s permission)


2019 ◽  
Vol 81 (2) ◽  
pp. 87-104
Author(s):  
Sabrin Sultana ◽  
Firoz Mahmud ◽  
Md Abdur Rahim

Sesame (Sesamum indicum L.) is one of the oldest oilseed crops and important for high nutritional quality as well as medicinal value. Fifty diverse sesame genotypes were evaluated to study genetic variability. The results revealed that the genotypes were a significant variation in most of the studied characters. In all cases, the phenotypic variances were much higher than genotypic variances suggests a higher level of the environmental effect on the expression of these characters. The highest genotypic coefficient of variations (GCV) was observed in seed yield per plant while the highest heritability was exhibited by hundred seed weight followed by days to 80% maturity, pods per plant, number of branches per plant and seed yield per plant. The genotypic correlation with seed yield per plant showed a significantly strong positive with days to 50% flowering, plant height and number of pods per plant at both the genotypic and phenotypic level. The path coefficient analysis showed that pods per plant and seeds per pod were the most important contributing traits to seed yield. The 50 sesame genotypes were grouped into five clusters. The highest inter-cluster distance was observed between the cluster III and V while the lowest inter-cluster distance was observed between the cluster III and IV. Among 50 sesame genotypes G7, G36, G38 and G46 might be suggested for future hybridization program for the improvement of sesame yield.


2016 ◽  
Vol 1 (02) ◽  
pp. 194-200
Author(s):  
Pooran Chand ◽  
Akash Singh ◽  
S. K. Singh

Estimates of genetic parameters for ten genotypes of barley (Hordeum vulgare L.) revealed significant variability for all the traits under study, indicated wide spectrum of variability among the genotypes. The estimates of genotypic and phenotypic coefficient of variation were high for plant height, number of seeds per ear and seed yield per plant. High heritability coupled with high genetic advance was observed for plant height, number of seeds per ear and seed yield per plant. Improvement in yield can be made by selecting these yield contributed traits having high heritability coupled with high genetic advance. Genotypic correlations were of higher magnitude as compare to their corresponding phenotypic correlation in most of the character combination, indicating the existence of strong influenced of inherent association for the various characters. Seed yield per plant exhibited significant stable and positive correlation with number of tillers per plant and 100 weight at genotypic and phenotypic level. Thus, it can be inferred that selection based on any one of these characters either alone or in combination, will result in identifying high yielding strains. Path coefficient analysis of genotypic and phenotypic level exhibited high positive and direct effect of number of tillers per plant, number of ear per plant, number of spikelet per ear, length of ear and 100 seed weight on seed yield per plant. Thus any selection based on these characters will enhance performance and improvement seed yield in barley.


Genetika ◽  
2013 ◽  
Vol 45 (2) ◽  
pp. 459-466 ◽  
Author(s):  
Velimir Radic ◽  
Jelena Mrdja ◽  
Sreten Terzic ◽  
Bosko Dedic ◽  
Aleksandra Dimitrijevic ◽  
...  

Ten sunflower commercial female parental lines were evaluated for various parameters under field conditions to estimate genetic parameters, correlation coefficient, and path analyses. Interactions of seed germination, 1000 seed weight, oil and protein content with seed yield were examined. After three years of observations, positive significant correlations were found while comparing seed yield with 1000 seed weight. Negative significant correlations were found by comparing seed yield and seed germination. Positive but not significant correlation was found while comparing seed yield with oil content in sunflower seed. Path coefficient analysis indicates that 1000 seed weight has maximum positive and seed germination maximum negative direct effect on yield.


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