Studies on genetic variability, character association and path analysis for yield and its contributing traits in chickpea [Cicer arietinum (L.)]

2017 ◽  
Author(s):  
D. K. Chopdar ◽  
Baudh Bharti ◽  
P. P. Sharma ◽  
R. B. Dubey ◽  
Brajendra Brajendra ◽  
...  
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Gene Action ◽  
Plant Biomass ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Additive Gene Action ◽  
Additive Gene ◽  
100 Seed Weight ◽  
Number Of Seeds

Genetic parameters, variability, heritability and genetic advance were studied among 20 genotypes of chickpea during during Rabi 2012-13. The characters, seed yield per plant and 100-seed weight had high values of GCV, heritability and GAM and were found to be under greater control of additive gene action. While the traits, primary branches per plant, number of seeds per pod and protein content with moderate to low heritability coupled with low genetic advance appear to be more affected by on non-additive gene action. Correlation and path coefficient analysis for seed yield per plant and its components indicated that out of 11 characters, seed yield per plant showed significant and positive correlation with harvest index, number of seeds per pod, primary branches per plant, number of pods per plant, biomass per plant, and 100-seed weight indicating that an intense selection for these characters will improve seed yield in chickpea. Path coefficient analysis revealed that days to maturity, primary branches per plant, biomass per plant, harvest index, protein content and number of seeds per pod were major characters influencing seed yield directly and indirectly. The results indicated that number of seeds per pod should be given greater emphasis for manipulation of seed yield in chickpea.

scholarly journals Heterosis and gene action in okra

2008 ◽  
Vol 32 (3) ◽  
pp. 421-432 ◽  
Author(s):  
Nandan Mehta ◽  
BS Asati ◽  
SR Mamidwar
Keyword(s):  
Plant Height ◽  
Seed Weight ◽  
Gene Action ◽  
Fruit Weight ◽  
Fruit Yield ◽  
Additive Gene Action ◽  
Fruit Length ◽  
Additive Gene ◽  
100 Seed Weight ◽  
Number Of Seeds

Forty two hybrids generated by crossing three testers with fourteen lines were studied along with parents for studying heterosis and gene action for days to first flowering, days to 50 percent flowering, fruit weight, fruit length, plant height, number of seeds per fruit, 100-seed weight and fruit yield per plant during rainy season and summer season of 2002-03 at Department of Horticulture, Indira Gandhi Agricultural University, Raipur, Chhattisgarh, India. The most heterotic combinations were VRO-6 x Parbhani Kranti, VRO-4 x Parbhani Kranti, Daftari-1 x Arka Abhaya and Kaveri Selection x Ankur Abhaya for fruit yield per ptant. The sca variances for days to fruit flower, days to 50 percent flowering, fruit weight, fruit length, plant height, number of seeds per fruit and 100-seed weight were higher than so gca variance so there is a preponderance of non-additive gene action. The gca variances was greater than sca variances for fruit yield per plant indicating preponderance of additive gene action for this trait. Overall, the results discussed above are quite indicative of the fact that hybrid okra has great potentialities of maximizing fruit yield in Chhattisgarh plains.DOI: http://dx.doi.org/10.3329/bjar.v32i3.544Bangladesh J. Agril. Res. 32(3) : 421-432, September 2007

scholarly journals Correlation and path coefficient analysis of seed yield and yield components of French bean (Phaseolus vulgaris L.) genotypes in sub-tropical region.

2020 ◽  
Author(s):  
S. Kalauni
Keyword(s):  
Seed Yield ◽  
Yield Components ◽  
Seed Weight ◽  
French Bean ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Pod Yield ◽  
Pod Length ◽  
100 Seed Weight ◽  
Number Of Seeds

Abstract This research aims to determine the relationship between yield and yield components of French bean using multivariate statistical techniques. The study was conducted at Horticulture Research Station, Dailekh, Nepal for consecutive three year of 2016-2018. In this study, six French bean genotypes were used. The following measurements and observations were made: germination (%), pod length (cm), pod diameter (mm), individual pod weight and number of seeds pod-1, number of dry pods plant-1, dry pod yield plant-1 and dry pod yield (t/ha), 100 seed weight (g) and seed yield (t/ha). Highly significant and positive correlation was recorded between seed yield and individual pod weight (r=0.659***), number of seed pod-1 (r=0.548**) and pod length (0.459*). Conversely, pod diameter showed a negative and non-significant (-0.025) correlation on seed yield. Based on simple regression analysis, linear regression of individual pod weight, number of seed pod-1 and pod length leads to an increase in the seed yield (t/ha) by 0.188, 0.285 and 0.103 units respectively. From the path coefficient analysis maximum positive direct effect on seed yield was recorded by number of seeds pod-1 (0.767) followed by 100 seed weight (0.530) and individual pod weight (0.429). Also, stepwise multiple linear regression analysis revealed that three traits including individual pod weight, 100 seed weight and number of dry pod plant-1 with R2 = 68.22% showed their overall contribution towards seed yield. The rest of the variance (R2 = 31.78%) was contributed by the variables that were not included in the study. Results concerning four statistical methods showed that individual pod weight appeared to be most effective contributor of seed yield followed by the number of seed pod-1, 100 seed weight, and pod length. Therefore, attention should be paid to these characters in any breeding program during the selection criteria for improving the seed yield.

scholarly journals Correlation and Path Coefficient Analysis of Seed Yield and Yield Components of French Bean (Phaseolus vulgaris L.) Genotypes in Sub-tropical Region

2020 ◽  
Vol 8 (9) ◽  
pp. 1928-1934
Author(s):  
Santosh Kalauni ◽  
Deependra Dhakal
Keyword(s):  
Seed Yield ◽  
Yield Components ◽  
Seed Weight ◽  
French Bean ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Pod Yield ◽  
Pod Length ◽  
100 Seed Weight ◽  
Number Of Seeds

This research aims to determine the relationship between yield and yield components of French bean using multivariate statistical techniques. The study was conducted at Horticulture Research Station, Dailekh, Nepal for consecutive three year of 2016-2018. In this study, six French bean genotypes were used. The following measurements and observations were made: germination (%), pod length (cm), pod diameter (mm), individual pod weight and number of seeds pod-1 , number of dry pods plant-1, dry pod yield plant-1 and dry pod yield (t/ha), 100 seed weight (g) and seed yield (t/ha). Highly significant and positive correlation was recorded between seed yield and individual pod weight (r= 0.659***), number of seed pod-1 (r=0.548**) and pod length (0.459*). Conversely, pod diameter showed a negative and non-significant (-0.025) correlation on seed yield. Based on simple regression analysis, linear regression of individual pod weight, number of seed pod-1 and pod length leads to an increase in the seed yield (t/ha) by 0.188, 0.285 and 0.103 units respectively. From the path coefficient analysis maximum positive direct effect on seed yield was recorded by number of seeds pod-1 (0.767) followed by 100 seed weight (0.530) and individual pod weight (0.429). Also, stepwise multiple linear regression analysis revealed that three traits individual pod weight, 100 seed weight and number of dry pod plant-1 account for 68.22% of the total variation in seed yield, while only 31.78% was explained by rest of the variables. Summarizing outcomes of four statistical methods showed that individual pod weight appeared to be the most effective contributor of seed yield followed by the number of seed pod-1, 100 seed weight, and pod length. Therefore, focus should be laid on these characters in future breeding program while selecting genotypes for sub-tropics for improving the seed yield.

scholarly journals Interrelationships and genetic analysis of seed yield and morphological traits in mini core collection of Iranian landrace, breeding lines and improved chickpea (Cicer arietinum L.) cultivars

Genetika ◽  
2015 ◽  
Vol 47 (2) ◽  
pp. 383-393 ◽  
Author(s):  
Khosro Mohammadi ◽  
Reza Talebi
Keyword(s):  
Cicer Arietinum ◽  
Seed Yield ◽  
Seed Weight ◽  
Morphological Traits ◽  
Genetic Parameters ◽  
Plant Biomass ◽  
Breeding Lines ◽  
Cicer Arietinum L ◽  
100 Seed Weight ◽  
Number Of Seeds

To determine the association between genetic parameters and morphological traits in chickpea (Cicer arietinum L.) genotypes, a field experiment was conducted with 49 different landrace, breeding lines and cultivated chickpea genotypes using a 7?7 lattice square design with 2 replications in the 2012-2013 growing season. Genetic parameters including genetic, environmental and phenotypic variances; coefficients of variation; heritability; correlation coefficients; factor analysis and path coefficients were estimated, and cluster analysis was performed. High heritability values observed in measured traits indicating that these traits are controlled mainly by additive genes and that selection of such traits may be effective for improving seed yield. Number of seeds per plant, 100-seed weight and plant biomass had a positive direct effect on seed yield. These traits also had positive and highly significant phenotypic correlations with seed yield. Using principal component (PC) analysis, the first three PCs with eigenvalues more than 1 contributed 70.94% of the variability among accessions. The germplasm were grouped into 3 clusters. Each cluster had some specific characteristics of its own and the cluster I was clearly separated from cluster II and III. Overall the results, it can be concluded that seed yield in chickpea can be improved by selecting an ideotype having greater number of seeds per plant, 100-seed weight and plant biomass.

scholarly journals Heritability, Correlation and Path Coefficient Analysis in Fifty Seven Okra Genotypes

2015 ◽  
Vol 3 (1) ◽  
pp. 127-133 ◽  
Author(s):  
K.U. Ahamed ◽  
B. Akter ◽  
N. Ara ◽  
M.F. Hossain ◽  
M. Moniruzzaman
Keyword(s):  
Plant Height ◽  
Seed Weight ◽  
Fruit Yield ◽  
Path Coefficient ◽  
Moderate Degree ◽  
Path Coefficient Analysis ◽  
Positive Correlation ◽  
Number Of Leaves ◽  
100 Seed Weight ◽  
Number Of Seeds

A study was undertaken to analyses the heritability, correlation and path co-efficient for growth and fruit characteristics in fifty seven okra(Abelmoschus esculentus Lam) genotypes grown at Plant Genetic Resources Centre, Regional Agricultural Research Station, BangladeshAgricultural Research Institute during kharif season of 2013. The highest range of variation was recorded in average fruit weight (18.25-25.41g), followed by yield per plant (98.90 – 1650.00g). The highest GCV (46.70 %) and PCV (47.72 %) were recorded for fruit yield perplant while both were lowest for days to maturity (8.07 % and 8.25 %). High heritability coupled with high or moderate degree of geneticadvance was estimated in plant height (99.82 % and 205.06), number of fruits per plant (99.53% and 203.63%), number of leaves per plant(99.57% and 204.49%), number of seeds per fruit (99.73% and 205.44%), leaf length (98.22% and 198.52%), leaf diameter (98.91% and203.76%), 100-seed weight (98.12% and 202.13%) and yield per plant (95.76 % and 197.26%). The highest positive correlation were observedbetween number of fruits per plant and yield per plant (r = 0.99**) and between number of fruits per plant and 100-seed weight (r = 0.44**).Also results showed that significantly positive correlation were between 100-seed weight and yield per plant (r = 0.44**), 100-seed weight andleaf length (r =0.42**), 100-seed weight and leaf diameter (0.38**), number of leaves per plant and 100-seed weight (r = 0.28*), 100-seedweight and plant height(r =0.40**), 100-seed weight and fruit length (r =0.28*). Significantly positive correlations were also observed for plantheight and number of fruits per plant, number of leaves per plant and yield per plant. The path coefficient analysis was done to determine directand indirect effects of traits on fruit yield. Direct significant positive and negative effect of number of fruits per plant (-0.091), 100-seed weight(0.174), number of seeds per plant (-0.213), average fruit yield (-0.310) towards yield.DOI: http://dx.doi.org/10.3126/ijasbt.v3i1.12142      Int J Appl Sci Biotechnol, Vol. 3(1): 127-133 

MODE OF INHERITANCE AND GENE ACTION FOR YIELD AND ITS COMPONENTS IN PHASEOLUS AUREUS

1972 ◽  
Vol 14 (3) ◽  
pp. 517-525 ◽  
Author(s):  
Tejinder P. Singh ◽  
K. B. Singh
Keyword(s):  
Seed Weight ◽  
Gene Action ◽  
High Yield ◽  
Additive Gene Action ◽  
Components Of Variance ◽  
Partial Dominance ◽  
Graphic Analysis ◽  
Additive Gene ◽  
100 Seed Weight ◽  
Dominant Genes

A diallel study of yield and its components in F1, F2, F3 and backcross generations was used to estimate components of genetic variation and type of gene action. Graphical and components of variance analyses revealed the importance of non-additive gene action for yield, pods per plant and clusters per plant. Additive gene action was important for 100-seed weight. Partial dominance for yield and seed size and partial- to over-dominance for pods per plant, clusters per plant and pods per cluster was evident from the graphic analysis. Dominant genes seem to govern inheritance of high yield and fewer pods per plant. The study indicated the appropriateness of studying one additional generation, either F2 or backcross, to confirm the F1 results. Implication of this study on breeding methodology is discussed.

scholarly journals GENE ACTION AND COMBINING ABILITY STUDY IN SESAME

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mandakini Kabi ◽  
Bhabendra Baisakh ◽  
Manasi Dash ◽  
Swapan K Tripathy ◽  
S. Sahu ◽  
...  
Keyword(s):  
Seed Yield ◽  
Combining Ability ◽  
Seed Weight ◽  
Recurrent Selection ◽  
Gene Action ◽  
Reciprocal Recurrent Selection ◽  
Additive Variance ◽  
Plant Seeds ◽  
Additive Gene ◽  
100 Seed Weight

The study of gene action and combining ability have been conducted in 28 F1 cross combinations along with eight parents in 8x8 half-diallel scheme following Griffing’s Approach for 14 morphoeconomic traits including seed yield and oil content in sesame. The general combining ability (GCA) and specific combining ability (SCA) component of variation were significant for parents and crosses respectively for all characters except internode length for GCA indicating role of both additive and nonadditive gene action. However, higher proportion of SCA variance (?2 sca) than GCA variance (?2 gca) revealed preponderance of non-additive gene action for all characters except capsule length and capsule width under study. Further, variance due to dominance played a significant role than additive variance in all traits except capsule width and 100-seed weight. Nirmala is considered as the best general combiner owing to its higher estimate of gca effects for yield per plant, for days to maturity, plant height, branches per plant, capsules per plant, seeds per capsule, capsule length and 100-seed weight. Among cross combinations; Rama × GT-10, AT-382 × Krishna, AT-382 × Nirmala, Krishna × Nirmala, Krishna × Uma, Nirmala × Prachi and Prachi × Uma showed significantly higher sca effect for seed yield per plant in the desired direction indicating their merit for recovery of transgressive segregants for higher productivity following reciprocal recurrent selection.

scholarly journals Selection criteria of some advance lines of sesame by the study of correlation and path coefficient analysis

2019 ◽  
Vol 6 (3) ◽  
pp. 356-359
Author(s):  
Barnali Roy ◽  
Amit Kumar Pal
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Selection Criteria ◽  
Sesame Seed ◽  
Agricultural System ◽  
Path Coefficient ◽  
100 Seed Weight ◽  
Number Of Seeds ◽  
Selection Of ◽  
Number Of Branches

Sesame (Sesamum indicum L.) is one of the major oil yielding plant in India, but the production of sesame seed is very low. Now it is necessary to establish the selection criteria that directly or indirectly increase the seed yield per sesame plant. In this study, freshly harvested seeds of 21 stable advance lines of sesame and their 8 parents such as R-9, B-14, B-9, B-67, T-12, IDP-51, IET-2, HT-1 were taken to evaluate the selection criteria for higher seed yield. The results indicated that number of branches/plant, number of capsule/plant, number of seeds/capsule and 100 seed weight were strongly related with sesame yield. Thus, selection of advance lines of sesame, that have higher seed yield, can be done on the basis of number of branches/plant, number of seeds/capsule, 100 seed weight and harvest index. Moreover, these traits may be employed as the selection criteria for the betterment of sesame seed yield in future agricultural system.

scholarly journals Variability for agromorphological traits, genetic parameters, correlation and path coefficient analyses in Lentil (Lens culinaris Medik.)

2020 ◽  
pp. 1-7
Author(s):  
Shahida Akter ◽  
Israt Jahan ◽  
Md. Amir Hossain ◽  
Mohammad Anwar Hossain
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Lens Culinaris ◽  
Significant Negative Correlation ◽  
Path Coefficient ◽  
Genetic Advance ◽  
High Heritability ◽  
Positive Direct ◽  
100 Seed Weight ◽  
Number Of Seeds

Understanding phenotypic and genotypic variability of Bangladeshi lentil (Lens culinaris Medik.) in relation to exotic lentil is important in attempting to widen the genetic base of the germplasm in the country. An experiment was conducted using 30 diverse lentil genotypes to study the agromorphological and genetic variability, heritability, expected genetic advance and inter-relationship of ten yield attributing traits. The genotypes showed highly significant (p<0.01) variations for all of the studied traits. These characters also had higher phenotypic co-efficient of variation (PCV) than those of the corresponding genotypic co-efficient of variation (GCV). High heritability (ranged from 66-98%) was found among the traits. Seed yield plant-1 and number of seeds plant-1 showed high heritability accompanied with high genetic advance (as percent mean). Correlation coefficient studies revealed that number of pods plant-1, number of seeds plant-1 and 100-seed weight contributed to highly significant (p<0.01) positive correlation with seed yield plant-1. Days to 50% flowering and days to maturity were showed highly significant negative correlation with seed yield plant-1. Path analysis showed the highest positive direct effects of 100-seed weight followed by the number of secondary branches plant-1 and number of seeds plant-1 on seed yield plant-1. Days to 50% flowering via 100-seed weight contributed the highest negative indirect effect on seed yield plant-1. Maximum negative direct effect of plant height and days to 50% flowering was observed on seed yield plant-1. Results indicated that the exotic accessions could be effective for the improvement of the yield of lentil. 

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.

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