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 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.

Genetic divergence analysis in chickpea germplasm

2018 ◽  
Author(s):  
Renuka Shivwanshi ◽  
Anita Babbar
Keyword(s):  
Seed Yield ◽  
Genetic Divergence ◽  
Seed Weight ◽  
Quantitative Traits ◽  
Mean Values ◽  
Cluster Distance ◽  
Biological Yield ◽  
Per Se ◽  
Total Divergence ◽  
100 Seed Weight

A total of 434 germplasm lines of chickpea were assessed for 13 quantitative traits during rabi 2015-16 at JNKVV, Jabalpur. Genotypes were grouped into fourteen clusters. Clusters II and cluster XIV and cluster XII and cluster XIV, had maximum inter cluster distance. The characters viz.,effective pods per plant followed by biological yield per plant, plant height and 100-seed weight were main contribution to total divergence. Cluster XIV and cluster XIII had highest mean values for maximum number of characters. Based on the result IC 83812, EC 198729, EC 490027, IC 53245, IC 83827and IC 83889 are recommended for hybridization, as these genotypes showed good per se performance for seed yield and belong to the highly diverse clusters.

Genetic divergence studies on upland rice grown in Nagaland, India

2016 ◽  
Vol 50 (6) ◽  
Author(s):  
Jogendra Singh ◽  
Toshimenla M. Toshimenla ◽  
Sapu Changkija
Keyword(s):  
Seed Yield ◽  
Genetic Divergence ◽  
Seed Weight ◽  
Upland Rice ◽  
Panicle Length ◽  
Genotype 1 ◽  
Cluster Distance ◽  
Minimum Number ◽  
100 Seed Weight ◽  
Panicle Weight

Genetic divergence was studied in a set of seventy four genotypes of upland rice by using Mahalanobis D2 statistics for yield and its contributing characters. All the characters under study showed highly significant differences among genotypes. The genotypes under study were grouped into 15 clusters. The distribution pattern indicated that maximum number of genotypes (35) were found in cluster I, followed by cluster II with 12 genotypes, whereas, minimum number of genotype (1) had cluster XV. The inter-cluster distance was greater than intra-cluster distance indicating wide genetic divergence among genotypes. The highest intra-cluster distance was revealed in cluster XIV followed by cluster XIII and cluster XI. The maximum inter-cluster distance was observed between Cluster XIV and XV, followed by Cluster V and XV. The highest cluster mean was observed for yield/plant in cluster VII; however, contributing characters viz., panicle length, panicle weight, filled grains and 100 seed weight were found in cluster XIV. Seed yield/plant was found major contributing character towards the total genetic divergence which may be utilized in selecting genetically diverse parents, especially for exploitation of heterosis.

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.

Genetic estimates and path coefficient analysis in chickpea (Cicer arietinum L.) under normal and late sown environments

2016 ◽  
Author(s):  
Indu Bala Dehal ◽  
Rama Kalia ◽  
Bhupender Kumar
Keyword(s):  
Cicer Arietinum ◽  
Direct Effect ◽  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Cicer Arietinum L ◽  
Biological Yield ◽  
100 Seed Weight

The research was carried out to determine selection criteria using correlation and path coefficient analysis in 25 chickpea (Cicer arietinum L.) genotypes under two different environments during rabi 2008-09 at Palampur location. The genotypes showed highly significant differences for all the characters studied in both environments. Environment I (normal sowing) exhibited its excellent potential for the traits viz., seed yield per plant, biological yield per plant, pods per plant, primary branches per plant, days to 50% flowering, days to maturity and plant height, whereas environment II (late sowing) exhibited it for harvest index, per cent crude protein and 100-seed weight. High heritability coupled with high genetic advance was observed for seed yield per plant, pods per plant and 100-seed weight in environment I. Seed yield per plant was positively and significantly correlated with pods per plant (E1=0.767 and E2=0.647), harvest index (E1=0.767 and E2=0.745), biological yield per plant (E1=0.612 and E2=0.537) and primary branches per plant (E1=0.422 and E2=0.515) in both the environments. Path coefficient analysis revealed the high direct effect of biological yield and harvest index towards seed yield per plant, whereas primary branches per plant and pods per plant showed negligible direct effect, but their indirect contribution for it through biological yield and harvest index was high. The present study suggests that selection for high seed yield should be based on selecting high biological yield, pod per plant, high test weight and primary branches per plants in chickpea.

Genetic variability, correlation and path coefficient analysis for quantitative traits in chickpea genotypes

2017 ◽  
Vol 51 (05) ◽  
Author(s):  
A. Nishant Bhanu ◽  
M. N. Singh ◽  
Rajendra Tharu ◽  
S. K. Saroj
Keyword(s):  
Seed Yield ◽  
Quantitative Traits ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Rabi Season ◽  
Days To Maturity ◽  
Correlation And Path Analysis ◽  
Selection Parameters ◽  
100 Seed Weight ◽  
Number Of Branches

Fifty three germplasm of chickpea were undertaken to determine relationships among yield and some yield components using direct (variability, heritability, and genetic advance) and indirect selection parameters (correlation and path coefficient analysis). The present investigation was carried out at the Agriculture Research Farm of Institute of Agricultural Sciences, Banaras Hindu University, Varanasi during the rabi season of 2011-12. Significant genetic variations were observed among the genotypes for days to flower, days to maturity, plant height, number of branches plant-1, number of pods plant-1, 100-seed weight and seed yield plant-1. Correlation studies revealed that seed yield was positively and significantly correlated with number of primary branches, number of secondary branches and number of pods plant-1. The path coefficient analysis based on seed yield, as a dependent variable, showed that pods plant-1 had the greatest direct effect on seed yield (0.81) followed by number of secondary branches. Both correlation and path analysis indicated that pods plant-1 and number of secondary branches were the major direct contributors to seed yield.

Genetic diversity analysis and identification of promising lines for hybridization in Chickpea (Cicer arietinum L.)

2018 ◽  
Vol 5 (04) ◽  
Author(s):  
ANAND KUMAR ◽  
SADIA PERWEEN ◽  
MANOJ KUMAR ◽  
SANJEEV KUMAR ◽  
SATYENDRA . ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Grain Yield ◽  
Seed Weight ◽  
Mean Value ◽  
Yield Potential ◽  
Quantitative Characters ◽  
Days To Maturity ◽  
Cluster Distance ◽  
Total Divergence ◽  
100 Seed Weight

Forty genotypes of chickpea were evaluated for assessing genetic divergence for different quantitative characters for improving yield potential of chickpea by using Mahalanobis D2 statistics. The genotypes were grouped into seven clusters suggesting considerable amount of genetic diversity in the material. The intra-cluster D2 value ranged from 0.00 to 9.06 while, intercluster D2 value ranged from 4.07 to 55.71. The maximum intra cluster distance was exhibited by cluster V followed by cluster II and cluster I. Cluster III had mono- genotype and emerged with contained highest cluster mean value grain yield per plot. Cluster II has highest mean value for number of pods per plant and lowest mean value for days to 50% flowering, days to maturity and plant height. Maximum contribution toward the total divergence was exhibited by 100-seed weight followed by number of pods per plant and minimum by days to maturity. Cluster IV and VI showing maximum inter cluster distance and crossing of genotypes Sabour chana-1 (BRC-1), GCP 105, PBC 503, DC 16-2, NBeG 776, RVSSG 42, G2016-43, GL 14042, IPC 2013-21, GNG 2338, GNG 2375 and KWR 108 from cluster VI suggested for improving grain yield per plot, 100-seed weight and earliness in flowering and ultimately enhancing the yield and chances of getting better recombinants in segregating generations.

Character associations between seed yield and its components traits in cowpea [Vigna unguiculata (L.) Walp.]

2015 ◽  
Vol 49 (6) ◽  
Author(s):  
H. K. Meena ◽  
K. Ram Krishna ◽  
Bhuri Singh
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Flowering Plant ◽  
Direct Selection ◽  
Path Coefficient ◽  
Days To Maturity ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
Pod Length ◽  
100 Seed Weight

A field experiment was conducted during <italic>kharif</italic> season 2013 to estimate the correlations and path coefficients for ten quantitative characters among 72 cowpea germplasm. Seed yield per plant had positive significant correlation with days to 50% flowering, plant height, primary branches per plant, pods per plant, pod length, seeds per pod and 100-seed weight at both genotypic and phenotypic levels. Path coefficient analysis revealed that primary branches per plant and 100-seed weight had high direct positive effect on seed yield per plant at both genotypic and phenotypic levels. Pod length, days to maturity, 100 seed weight and pod wall proportion had high positive direct effects on seed yield per plant at only genotypic level. Correlation and path analysis indicated that for increasing seed yield in cowpea direct selection should be carried out for higher values of primary branches per plant, pods length, days to maturity and 100 seed weight.

Combining ability analysis for yield and yield components in mungbean [Vigna radiata (L.) Wilczek]

2019 ◽  
Author(s):  
Rathod Viraj ◽  
M.S. Pithia ◽  
H.V. Solanki
Keyword(s):  
Seed Yield ◽  
Combining Ability ◽  
Vigna Radiata ◽  
Yield Components ◽  
Seed Weight ◽  
Combining Ability Analysis ◽  
Yield And Yield Components ◽  
Days To Maturity ◽  
Pod Length ◽  
100 Seed Weight

Combining ability analysis for yield and yield components of mungbean [Vigna radiata (L.) Wilczek] was attempted using an 8 x 8 diallel mating system both in F1 and F2 generations. Both gca and sca mean squares were significant for all the eleven characters in F1 and F2 generations, former being more pronounced for clusters per plant, pods per cluster, pods per plant, pod length, seeds per pod, 100-seed weight and seed yield per plant in F1 and for all the characters except days to maturity, seeds per pod and 100-seed weight in F2. The parent K 851 was a good general combiner for seed yield per plant, days to maturity, plant height, primary branches per plant, clusters per plant, pods per plant and seeds per pod in both generations, while Pant-M 4 was good general combiner for seed yield per plant, plant height, pods per cluster and pods per plant over generations. Parents RMG 62 and Asha were the best combiners for early flowering. GM 4 had good general combining ability for seed yield in F1, but for pod length and 100-seed weight in F1 and F2. The crosses showing high sca effects for seed yield also had significant and positive effects for at least two important yield components.

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