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.

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 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 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

STUDY OF EFFECT OF EMS, MMS AND GR ON YIELD CONTRIBUTING TRAITS IN URDBEAN, VIGNA MUNGO

2017 ◽  
Vol 23 (1) ◽  
Author(s):  
A. B. SAGADE
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Inhibitory Effect ◽  
Individual Plant ◽  
Mean Values ◽  
Methane Sulphonate ◽  
Pod Length ◽  
100 Seed Weight ◽  
Number Of Seeds

The study of the effect of three well known mutagens, ethyl methane sulphonate (EMS), methyl methane sulphonate (MMS) and gamma rays (GR) on the yield contributing traits of the urdbean variety TPU-4 were carried out in the M3 generation. Effect of selected mutagenic treatments/doses of EMS (0.02, 0.03 and 0.04 M), MMS (0.0025, 0.05 and 0.01 M) and (GR) (30, 40 and 50 KR) on different yield contributing traits like plant height, plant spread, number of pods per plant, pod length, number of seeds per pod, seed yield per plant and 100 seed weight were analyzed in the M3 populations of the variety TPU-4. Seeds of M2 plants and control were harvested separately and sown to raise M3 population.. Genetic variabilty in the mutagen administered M3 progeny of the urdbean variety TPU-4 was analyzed by employing statistical methods. Data on mean values and shift in the mean of seven quantitative traits was evaluated on individual plant basis. The experimental findings revealed that concentrations / dose of the all these mutagens showed inhibitory effect on plant height, number of pods per plant, pod length and number of seeds per pod. Lower concentrations of mutagens exerted a promotory effect on plant spread, 100 seed weight and seed yield per plant while higher concentrations of these mutagens inhibited them to different extent.

scholarly journals VARIETAL PERFORMANCE AND CORRELATION OF OKRA POD YIELD AND YIELD COMPONENTS

2017 ◽  
Vol 29 (1) ◽  
pp. 11-20
Author(s):  
D. Aminu ◽  
O. B. Bello ◽  
B. A. Gambo ◽  
A. H. Azeez ◽  
J. O. Agbolade ◽  
...  
Keyword(s):  
Plant Height ◽  
Yield Components ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Fresh Weight ◽  
Yield Attributes ◽  
Mean Values ◽  
Pod Yield ◽  
Dry Seasons ◽  
Pod Length

Field irrigation experiments were conducted to assess the varietal performance and correlation of pod yield and yield attributes under irrigation at the Teaching and Research Farm, University of Maiduguri, Nigeria, during 2015 and 2016 dry seasons. The results revealed that the most outstanding for fresh pod yield per plant were okra cultivar Kwadag Y’ar gagure Salkade and, Kwadam in descending order with yield ranging from 580.38-622.67g, while the composite cultivar had the lowest value of pod yield of 428.62g over the two years. The highest mean values for number of pods per plant and number of primary branches per plant were observed for Salkade and Y’ar gagure, respectively. Highest fresh pod length and fresh pod diameter were also exhibited for Salkade and Kwadag, respectively. Genotypic coefficient of variation was higher than the phenotypic variation for all the yield contributing characters. Days to 50% flowering were positive and highly significance difference associated with plant height, number of pods per plant and fresh weight per pod. Path coefficient analysis showed that number of pods per plant exhibited positive and direct effects on pod yield across years. Indirect effect of other yield components through this character also contributed mainly towards pod yield. Therefore, plant height, days to 50% flowering, number of pods per plant, pod length, pod diameter, number of primary branches per plant and fresh weight per pod could be considered for selection and improvement for high pod yielding varieties in okra.

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 

Correlations and path analysis of yield components in synthetic varieties of sunflower ( Helianthus annuus L.)

2007 ◽  
Vol 55 (3) ◽  
pp. 339-345 ◽  
Author(s):  
A. Göksoy ◽  
Z. Turan
Keyword(s):  
Path Analysis ◽  
Plant Height ◽  
Seed Yield ◽  
Yield Components ◽  
Seed Weight ◽  
Field Trials ◽  
Path Coefficient ◽  
Head Diameter ◽  
Synthetic Varieties ◽  
Number Of Seeds

This study was made in order to determine the correlations between seed yield and some yield components, and the direct and indirect effects of these characters on seed yield in sunflower. Four experimental synthetic varieties (Syn 1s), their parental mixtures (Syn Os) and two standard varieties (open pollinated: Vniimk 8931, and commercial hybrid: Sunbred-281) were evaluated in replicated field trials under Turkish conditions in 1995, 1996 and 1997. Agronomic characteristics such as plant height, head diameter, number of seeds per head, 1000-seed weight and seed yield were observed for correlations and path coefficient analysis.According to the results, seed yield gave significant positive correlations with plant height, head diameter, number of seeds per head and 1000-seed weight. The highest positive correlation was observed between seed yield and number of seeds per head (r=0.890**). Path analysis indicated that the number of seeds per head gave the greatest direct effect (+0.7269) on seed yield, followed by 1000-seed weight (+0.3215) and head diameter (+0.1689). The percentage of direct effects on seed yield was 80.8%, 50.6% and 24.0% for number of seeds per head, 1000-seed weight and head diameter, respectively.

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. 

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