scholarly journals Genetic Divergance in F2 Generation of Interspecific Hybrids in Grain and Vegetable Purpose Cowpea

2019 ◽  
pp. 1-5
Author(s):  
Krishnaja R. Nair ◽  
S. S. Desai ◽  
B. L. Thaware
Keyword(s):  
Seed Yield ◽  
Genetic Divergence ◽  
Interspecific Hybrids ◽  
Harvest Index ◽  
Pod Yield ◽  
Days To Maturity ◽  
Donor Parent ◽  
F2 Generation ◽  
Clustering Pattern ◽  
Multilocation Trials

A field experiment was conducted with 25 hybrids and their 14 parents of cowpea to study the diversity among the genotypes which were grouped in to 7 clusters revealing the presence of considerable diversity in the material. The clustering pattern of the varieties usually did not confirm to geographical distribution. Cluster-II got desirable rating in respect of maximum harvest index, seed yield per plant and minimum days to maturity where cluster V got maximum number of pods per plant, green pod yield per plant and dry pod yield per plant where all yield related components that could be directly tested in multilocation trials for their suitability or could be used as a donor parent in breeding programme. The characters like plant height, green pod yield per plant and dry pod yield per plant were found to contribute much to the total genetic divergence in cowpea.

scholarly journals CORRELATION AND PATH COEFFICIENT ANALYSIS OF FOURTEEN DIFFERENT GENOTYPES OF LABLAB BEAN (Lablab purpureus L.)

2015 ◽  
Vol 27 (1) ◽  
pp. 37-44
Author(s):  
Asaduzzaman Zaman ◽  
M. J. H. Bhuiyan ◽  
M. A. Hossain ◽  
Sharif-Ar Raffi
Keyword(s):  
Protein Content ◽  
Seed Yield ◽  
Significant Negative Correlation ◽  
Test Weight ◽  
Path Coefficient ◽  
Lablab Purpureus ◽  
Pod Yield ◽  
Days To Maturity ◽  
Positive Direct ◽  
Pod Length

Fourteen genotypes of Lablab bean were studied for sixteen yield and yield contributing characters. The experiment was conducted at Field Laboratory of Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh. Seed yield per plant showed positive and significant correlation with days to maturity, number of raceme per plant, raceme length, pod length, green pod yield per plant, green test weight and shelling percentage and significant negative correlation with days to maturity, number of seeds per pod and protein content at both phenotypic and genotypic levels. Path analysis revealed that green pod length exhibited high positive direct effect on number of raceme per plant, raceme length, green pod width, dry test weight and shelling percentage. The direct negative effects on seed yield were observed by days to maturity, number of flower buds per raceme, green pod yield per plant, green test weight and protein content and revealed the importance of these traits for simultaneous selection of plant for yield improvement.

scholarly journals Correlation and path analysis for grain yield and yield components in chickpea (Cicer arietinum L.)

Genetika ◽  
2017 ◽  
Vol 49 (1) ◽  
pp. 273-284 ◽  
Author(s):  
Hossein Astereki ◽  
Peyman Sharifi ◽  
Masoumeh Pouresmael
Keyword(s):  
Path Analysis ◽  
Seed Yield ◽  
Yield Components ◽  
Harvest Index ◽  
Correlation Coefficients ◽  
Canopy Height ◽  
Flowering Period ◽  
Days To Flowering ◽  
Days To Maturity ◽  
Positive Direct

Chickpea is the second most important pulse crop in the world after dry bean. The aim of this study was to estimate the correlation coefficients and path analysis between seed yield, morphological traits and yield components. Twenty five chickpea genotypes, including advanced lines and commercial varieties, were grown under dryland condition at Brojerd Agricultural Research Station (west of Iran) during two seasons (2012-2013 and 2013-2014). The field experiment was arranged in a randomized complete block design (RCBD) with four replications. Combined analysis of variance revealed that the studied genotypes differed significantly in seed yield, days to flowering, days to maturity, flowering period, canopy height, number of pods per plant, biological yield and harvest index. The correlation coefficients indicated that there were significant and positive correlations between seed yield and number of pods per plant and harvest index in two years. Path analysis indicated that days to flowering, days to maturity, canopy height and width, number of pods per plant and flowering period directly and indirectly affected seed yield. Therefore, this study suggested that chickpea improvement program could be based on these traits, especially number of pods per plant and canopy height, according to positive direct effect on seed yield over two years, as selection criteria.

Genetic divergence, correlation and path coefficient analysis for the yield components of pigeonpea genotypes

2015 ◽  
Author(s):  
SNCVL Pushpavalli ◽  
C. Sudhakar ◽  
C. Sudha Rani ◽  
R. Raja Rajeswari ◽  
C. Jyothi Rani
Keyword(s):  
Seed Yield ◽  
Genetic Divergence ◽  
Yield Components ◽  
Seed Weight ◽  
Mean Value ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Days To Maturity ◽  
Cluster Distance ◽  
100 Seed Weight

The present investigation was carried out using thirty two pigeonpea genotypes during kharif 2013-14 to obtain the knowledge of correlation, path coefficient analysis for the yield components and genetic divergence. The range of GCV was observed from 9.81 to 40.88% for the traits under study which provides information regarding the extent of variability present among the genotypes. Seed yield was significantly and positively correlated with number of secondary branches/plant, pods/plant and 100-seed weight. Path coefficient analysis indicated that number of secondary branches exhibited maximum direct effect followed by number of pods/plant and 100 seed weight. The genotypes were grouped into eight different clusters based on Mahalonobis D2 statistics. Clusters II and III exhibited maximum inter cluster distance of 8.80. Days to 50% flowering contributed to maximum genetic divergence followed by seed yield. Genotypes in cluster III recorded highest mean value for days to maturity, number of secondary branches and seed yield.

scholarly journals Estimation Of Genetic Divergence In Lablab Bean (Lablab purpureus L.) Genotypes

2013 ◽  
Vol 38 (1) ◽  
pp. 105-114 ◽  
Author(s):  
M Salim ◽  
S Hossain ◽  
S Alam ◽  
JA Rashid ◽  
S Islam
Keyword(s):  
Seed Yield ◽  
Genetic Divergence ◽  
Seed Weight ◽  
Lablab Purpureus ◽  
Plant Seed ◽  
Pod Yield ◽  
Cluster Group ◽  
Cluster Data ◽  
100 Seed Weight ◽  
Number Of Seeds

An experiment for diversity analysis with 66 genotypes of lablab bean (Lablab purpureus L.) was conducted at Department of Genetics and Plant Breeding, Bangladesh Agricultural University (BAU) during 2009-2010. Data were collected from all experimental plants on the following characters: days to first flowering, days to 50% flowering, days to first pod setting, no. of pods per plant, wt. of 20 pods (g), pod yield per plant (g), pod length (cm), number of seeds per pod, number of seeds per plant, 100-seed weight (g), and seed yield per plant (g). As per multivariate analysis, the genotypes were grouped into seven clusters. The highest number of genotypes 15 was included in cluster V followed by cluster II, which contained 13 genotypes. Cluster III, I, VI, IV contained 12, 11, 6, and 5 genotypes, respectively. The cluster VII which included 4 genotypes was the smallest among the 7 clusters. It is important to note that the highest amount of genetic divergence within the cluster group was noticed in the cluster VII having only 4 genotypes. The inter-cluster distances (D2) were higher than the intra-cluster distances. The inter-cluster D2 values varied from 2059.094 to 19302.6. The distances between the cluster VII and V; VII and VI; VII and II and VII and I were comparatively high than the other inter-cluster distances. The genotypes of these clusters were thus more diversified for yield and yield contributing characters. The intracluster distance (8502.795) observed in cluster VII revealed maximum diversity among themselves. While the least variation (625.372) was noticed between genotypes of the cluster II signifying the closeness of the genotypes included in this cluster. Data on the contribution of individual characters towards divergence suggested that no. of pods per plant contributed maximum (34.033%) to the genetic divergence followed by pod yield per plant and 100-seed weight. The genotypes of the cluster VII produced highest pods per plant and those of the cluster II produced lowest pod yield per plant. Seed yield per plant was found to be highest in cluster VII and lowest in cluster II. Results of the study suggested that selection for these traits in climbing genotypes might be effective. By strategically using this diversity, the breeder can develop high yielding varieties of lablab bean. Bangladesh J. Agril. Res. 38(1): 105-114, March 2013 DOI: http://dx.doi.org/10.3329/bjar.v38i1.15195

scholarly journals Heritability and Correlation of Biomass, Growth Rates, Harvest Index, and Phenology to the Yield of Common Beans

1991 ◽  
Vol 116 (1) ◽  
pp. 127-130 ◽  
Author(s):  
B.T. Scully ◽  
D.H. Wallace ◽  
D.R. Viands
Keyword(s):  
Growth Rate ◽  
Seed Yield ◽  
Harvest Index ◽  
Genetic Correlations ◽  
Indirect Selection ◽  
The Other ◽  
Biomass Growth ◽  
Economic Growth Rate ◽  
Seed Growth ◽  
Days To Maturity

One-hundred-twelve common bean (Phaseolus vulgaris L.) lines of diverse origin were grown in three environments in 1986 and two environments in 1987. The purpose was to estimate broad-sense heritabilities of nine yield-related traits and the phenotypic, genetic, and environmental correlations among them. The traits and their heritabilities were seed yield (0.90), biomass (0.93), harvest index (0.92), days to maturity (0.96), days to flower (0.98), days of pod fill (0.94), biomass growth rate (biomass/days to maturity) (0.87), seed growth rate (seed yield/days of pod fill) (0.87), and economic growth rate (seed yield/days to maturity) (0.86). These high heritabilities were attributed to the broad genetic diversity and the comparatively small variances associated with the genotype × environment interactions. Genetic correlations of yield were: with biomass, 0.86; harvest index, 0.42; days to maturity, 0.40; days to flower, 0.33; days of pod fill, 0.24; biomass growth rate, 0.92; seed growth rate, 0.84; and the economic growth rate, 0.85. The concomitant phenotypic correlations were mostly equal to the genetic correlations for biomass and the three growth rates, but lower for the phonological traits (days to maturity, flower, and pod fill). Harvest index had the lowest correlations with yield. Correlations were also reported for the other 28 pairwise combinations among these nine traits. Indirect selection was explored with yield as the primary trait and the other eight as secondary traits. Estimates of relative selection efficiency (p) suggested that indirect selection was not a viable option for increasing common bean yields or identifying superior parents.

Combining ability studies under salinity stress and unstressed condition in chickpea

2016 ◽  
Author(s):  
M. Y. Dudhe ◽  
J. Kumar
Keyword(s):  
Salinity Stress ◽  
Seed Yield ◽  
Harvest Index ◽  
Genetic Basis ◽  
Stress Condition ◽  
Gene Action ◽  
Additive Gene Action ◽  
Days To Maturity ◽  
Additive Gene ◽  
Salinity Stress Tolerance

The present study was carried out to generate some information on the genetic basis for salinity tolerance in chickpea. Results indicated that the additive as well as non-additive gene action was important for all the traits under unstressed as well as salinity stress condition. Parent Pusa 1103 was a good combiner for RWC, MSI, seed yield and harvest index both under unstressed and salinity stress condition. DG 72 was a good combiner for RWC and parent SAKI 9516 for days to maturity both under unstressed and salinity stress. Two crosses Pusa 1103 x DG 72 and cross Pusa 1103 x DG 54 were best among all the crosses studied for seed yield per plant. While selecting best crosses for salinity stress tolerance besides giving more importance to salinity indices the seed yield per plant need to be considered. The present findings will help the chickpea breeder in deciding the breeding program aimed at improvement of salinity stress tolerant varieties in chickpea.

scholarly journals Genetic Diversity for Yield and Its Component Traits in Blackgram (Vigna mungo. L Hepper)

2021 ◽  
pp. 208-214
Author(s):  
Bairi Pallavi ◽  
Gaibriyal M. Lal
Keyword(s):  
Genetic Diversity ◽  
Genetic Divergence ◽  
Harvest Index ◽  
Early Maturity ◽  
Mean Values ◽  
Days To Maturity ◽  
Cluster Distance ◽  
Component Traits ◽  
Biological Yield ◽  
Pod Length

Thirty eight genotypes were subjected to genetic divergence by using D2 statistics. The genotypes were grouped into 7 clusters by D2 analysis. Cluster I consisted of maximum accessions (32) followed by cluster II, III IV, V, VI, VII consisted of only 1 accession. The inter-cluster distances were greater than intra-cluster distances, revealing that considerable amount of genetic diversity existed among the accessions. Maximum intra cluster distance was observed in cluster I (56.58) indicating that some genetic divergence still existed among the genotypes. This could be made use of in the yield improvement through recombination breeding. Highest mean values exhibited no. of seeds per plant in cluster II (198.97), days to maturity in cluster VII (93.11), harvest index in cluster V (76.15) and plant height in cluster IV (69.59). The character contribution maximum towards diversity among the accessions were seed yield per plant (18.40%), followed by harvest index (14.32%), biological yield (11.98%), no. of pods per plant (10.76%), pod length (9.80%) and no. of seeds per plant (7.56%). These characters combining with early maturity were the major traits causing genetic divergence among the accessions. It was assumed that maximum mount of heterosis will be manifested in cross combinations involving the parents belonging to most divergent clusters.

scholarly journals Sesame germplasm evaluation for reproductive period and harvest index

Genetika ◽  
2016 ◽  
Vol 48 (2) ◽  
pp. 665-674
Author(s):  
Bachubhai Monpara
Keyword(s):  
Seed Yield ◽  
Harvest Index ◽  
Block Design ◽  
Reproductive Period ◽  
Breeding Programme ◽  
Randomized Block Design ◽  
Days To Maturity ◽  
Biological Yield ◽  
High Heritability ◽  
Crop Maturity

In sesame, reproductive period is a component of crop maturity and harvest index is a component of seed yield. Both are important traits in applied plant breeding and associated with seed filling process, which helps optimizing crop duration and maximizing sesame yield. The study was focused on genetic control of these traits and to identify potential genotypes to use as parents in breeding programme. Seventy sesame germplasm lines were evaluated in randomized block design replicated thrice. Great variability for reproductive period and harvest index was observed. High heritability accompanied by high genetic gain for reproductive period, harvest index, biological yield and seed yield. Reproductive period was associated positively with days to maturity. Harvest index was associated positively with seed yield and biological yield but negatively with days to maturity. These circumstances suggest that increasing seed yield in sesame is possible through breeding for reproductive period and harvest index. However, performance data of selected genotypes demonstrate that it is wise to select for yield in conjunction with high biological yield and greater proportion of photosynthate partitioning together with optimum length of reproductive period. Use of present genetic variation like MARGO-TALL in manipulating both reproductive period and harvest index may be beneficial in sesame breeding programme.

Study of correlation and path coefficient analysis in germplasm lines of Indian mustard (Brasica juncea L.)

2016 ◽  
Vol 36 (2) ◽  
Author(s):  
Rajeev Kumar ◽  
S. S. Gaurav ◽  
S. Jayasudha ◽  
Hitesh Kumar
Keyword(s):  
Seed Yield ◽  
Harvest Index ◽  
Block Design ◽  
Indian Mustard ◽  
Correlation Study ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Days To Maturity ◽  
Biological Yield ◽  
Positive Direct

An investigation was undertaken to study the correlation and path coefficient analysis of twelve quantitative traits in 30 Indian mustard (<italic>Brassica Juncea</italic> L<italic>.</italic>) germplasm lines. The experimental material was evaluated in a randomized block design with three replications. Correlation study revealed that harvest index and total biological yield per plant exerted high significant positive correlation coefficients with seed yield at both genotypic and phenotypic level. Seed yield is negatively correlated with days to 50 % flowering and days to maturity which promotes early flowering and early maturing genotypes. Path analysis revealed that harvest index showed maximum positive direct effect, followed by total biological yield per plant, days to maturity, siliquae length at the time of maturity and seed yield per plant at both genotypic and phenotypic levels. Based on result it has been concluded that two traits namely harvest index and total biological yield per plant exerted high correlation as well as direct influence on seed yield may be considered for selection and to improve the seed yield of the mustard genotypes.

Genetic variability, mean performance and analysis of variance in Linseed (Linum usitatissimum L.)

2019 ◽  
Vol 4 (01) ◽  
pp. 89-95
Author(s):  
Ravindra Kumar Kasana ◽  
P. K. Singh ◽  
Amit Tomar ◽  
Mahak Singh
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Analysis Of Variance ◽  
Seed Yield ◽  
Linum Usitatissimum ◽  
Harvest Index ◽  
Linum Usitatissimum L ◽  
Days To Maturity ◽  
Biological Yield ◽  
Number Of Seeds

The most promising lines showing highest seed yield with high mean performance for other yield contributing characters were identified as EC-22672, NDLS-164, NDLS-169 and NDLS-205-03-02. The genotypes exhibiting highest mean performance for different characters such as EC-22672 for seed yield per plant, SLS-50, NDL-204, Meera and NDLS-204 for early days to 50% flowering, NDLS-181 for early days to maturity, EC- 41494 for plant height, NDLS-77 for primary branches per plant, NDLS-169 for secondary branches per plant, EC-41404 for number of capsules per plant, EC-41494 for number of seeds per capsule, Shekhar for biological yield, EC-23269 for harvest index and SLS-48 for test weight.

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