scholarly journals Variability, correlation and path analysis in lablab bean (Lablab purpureus L.)

2014 ◽  
Vol 38 (4) ◽  
pp. 705-717
Author(s):  
M Salim ◽  
S Hossain ◽  
S Alam ◽  
JA Rashid ◽  
S Islam
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Path Coefficient ◽  
Lablab Purpureus ◽  
Positive Direction ◽  
Plant Seed ◽  
Pod Yield ◽  
100 Seed Weight ◽  
Pod Number ◽  
Number Of Seeds

The results of the study carried out during 2009-2010 with lablab bean (Lablab purpureus) are presented in this paper. Data were recorded from all experimental plants on the following characters as number of pods/plant, pod yield/plant (g), number of seeds/pod, number of seeds/plant; seed yield/plant (g), Range, mean, genetic parameter, correlation co-efficient and path coefficient were studied. High heritability coupled with high expected genetic advance in percentage of mean were observed for most of the characters. The coefficients of correlation showed that seed yield/plant was positively and significantly correlated with days to first flowering, days to 50% flowering, days to first pod setting, number of pods/plant, pod yield/plant and seeds/pod, number of seeds/plant, and seed yield. Path coefficient analysis showed that days to first flowering, days to 50% flowering, number of pods/plant, 20 pod weight (g), pod yield/plant, pod length, number of seeds/pod, number of seeds/plant, 100-seed weight influenced seed yield/plant directly in positive direction. Among the characters, number of seeds/plant had high positive correlation with seed yield/plant. Days to first pod setting exhibited negative direct effects on seed yield. From this result, it can be concluded that days to first flowering, days to 50% flowering, number of pods/plant, pod yield/plant, number of seeds/pod, number of seeds/plant, 100-seed weight are the most important yield contributing characters as they influenced pod yield and seed yield directly in positive direction. DOI: http://dx.doi.org/10.3329/bjar.v38i4.19662 Bangladesh J. Agril. Res. 38(4): 705-717, December 2013

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 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.

Devising selection criteria based on variability and association studies in segregating populations derived from an interspecific cross between Cajanus scarabaeoides × C. cajan

2019 ◽  
Author(s):  
Gurjeet Singh ◽  
Inderjit Singh ◽  
Pankaj Sharma ◽  
Mamta Gupta ◽  
Sarvjeet Singh
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Selection Criteria ◽  
Environmental Influence ◽  
Association Studies ◽  
Interspecific Cross ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Plant Seed ◽  
100 Seed Weight

Segregating populations (BC1F3 and F3:4) from an interspecific cross (C. scarabaeoides × C. cajan) were evaluated for variability and association studies for yield and its component traits. In both the generations, high values of PCV and GCV were obtained for pods per plant, seed yield per plant and fruiting branches per plant. High estimates of heritability as well as genetic advance were observed for fruiting branches per plant followed by pods per plant and seed yield per plant. High heritability coupled with high genetic advance revealed the presence of less environmental influence and prevalence of additive gene action. Seed yield per plant had highly significant and positive association with pods per plant, fruiting branches and 100-seed weight. Path coefficient analysis revealed that pods per plant, fruiting branches and 100-seed weight contributing maximum towards seed yield per plant. The study revealed that fruiting branches and pods per plant could be used as selection criteria for improving yield.

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. 

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 Cause and Effect Relationship in Chickpea (Cicer arietinum L.) Genotypes under Temperate Conditions

2020 ◽  
pp. 38-45
Author(s):  
Mohd Aslam Dar ◽  
Noor-ul-Saleem Khuroo ◽  
Reyaz-ul-Rouf Mir ◽  
Zahoor Ahmad Dar ◽  
Bilal Ahmad Lone ◽  
...  
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Seed Weight ◽  
Research Work ◽  
Path Coefficient ◽  
Branch Number ◽  
Weight Number ◽  
100 Seed Weight ◽  
Pod Number

Thirty-five genotypes and 3 varieties of chickpea were undertaken to determine the variability, interrelationship among yield and its components and their primary and secondary impact on seed quantity. The research work performed at FoA, Wadura Sopore, SKUAST-Kashmir in the rabi 2017-18. The treatment differences were statistically highly significant for all the traits along with higher magnitude of genotypic and phenotypic coefficient of variation indicating presence of good amount of variability. The character, plant height showed maximum difference preceding by pod number plant-1, days taken to maturity, 50% flowering, seed yield plant-1, 100 seed weight, number of secondary and primary branches plant-1 and seeds pod-1. Genotypic and phenotypic coefficient of variation have been seen maximum in case of seed yield plant-1 preceding by plant height, pod number plant-1, secondary branch number, seeds pod-1 and 100-seed weight. Pod number plant-1, plant height, days to maturity (99%) exhibited maximum heritability (b.s.) then secondary branches plant-1, days to 50% flowering (98%), 100-seed weight, seed yield plant-1 (96%). Seed yield plant-1 showed maximum genetic advance as mean% (54.17) then plant height (50.93) and pods per    plant-1 (50.02). The seed yield plant-1 exhibited significant and positive correlation with pods plant-1, secondary branches plant-1, seeds pod-1 and 100-seed weight. By comprehending path coefficient maximum primary effect shown by pods plant-1 on seed yield plant-1 then seeds pod-1, 100-seed weight, primary branches plant-1.

scholarly journals Determination of Genetic Association of Yield and Quality Traits in Cicer arietinum L. (chickpea)

2021 ◽  
pp. 75-83
Author(s):  
Binita Xalxo ◽  
Gabrial M. Lal ◽  
Sneha Debnath ◽  
Avneesh M. Tripathi
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Block Design ◽  
Path Coefficient ◽  
Index Number ◽  
Genetic Advance ◽  
Biological Yield ◽  
100 Seed Weight ◽  
Number Of Seeds

The present investigation was carried out at the field Experimentation Centre, Department of genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, U.P. The experiment on 22 genotypes was laid out in Randomised Block Design with three replications. Observations were recorded on five randomly selected plants to each treatment and replication for 13 quantitative characters viz., days to 50 per cent flowering, days to 50 per cent pod setting, days to maturity, plant height, number of primary branches per plant, number of secondary branches per plant, number of pods per plant, number of seeds per pod, number of seeds per plant, 100-seed weight, harvest index, biological yield, seed yield per plant and one qualitative character protein content to estimate the variability, heritability. genetic advance, correlation and path coefficient analysis among yield. Maximum GCV and PCV were recorded for number of pods per plant and 100-seed weight. High genetic advance as percentage of mean recorded for number of pods per plant. High heritability was recorded for 100-seed weight. High genetic advance was recorded for 100-seed weight. Seed yield per plant had showed high positive significant correlation with biological yield per plant, harvest index, number of pods per plant and number of seeds per plant at phenotypic and genotypic levels.

Estimation of correlation coefficient among yield and attributing traits of field pea (Pisum sativum L.)

2017 ◽  
Author(s):  
Sandeep Kumar Singh ◽  
Vinit Pratap Singh ◽  
Seweta Srivastava ◽  
Amresh Kumar Singh ◽  
Brijesh Kumar Chaubey ◽  
...  
Keyword(s):  
Pisum Sativum ◽  
Seed Yield ◽  
Seed Weight ◽  
Positive Association ◽  
Field Pea ◽  
Positive Direction ◽  
Pisum Sativum L ◽  
Days To Maturity ◽  
100 Seed Weight ◽  
Number Of Seeds

In order to best exploit the available genetic wealth in the crop, the information would have paramount important. Therefore, this study was conceived to examine the variability and determines the relative importance of primary and secondary traits as selection criteria to improve productivity. Field pea (Pisum sativum L. var. arvense) is amongst the most important legume crop of India. The experimental material comprised of 120 field pea germplasm including 40 indigenous and 10 exotic collections of pea and 4 check varieties viz., HUDP-15, HFP-4, HUP-2, Rachna. Five competitive plants from each plot were randomly selected for recording observations for all the quantitative characters except days to 50 per cent flowering and days to maturity, which were recorded on line basis. In present study a strong and positive association of seed yield per plant observed with harvest index, biological yield per plant, plant height, number of seeds per pod, number of primary branches per plant, number of pods per plant and 100-seed weight. Days to maturity and number of seeds per pod showed positive correlation with days to 50 per cent flowering and number of primary branches per plant respectively. Days to maturity and 100-seed weight and number of pods per plant showed weak association with seed yield per plant in positive direction. Thus, these characters emerged as most vital component traits and associated positively with seed yield per plant.

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