Variability and Character Association for Yield and Quantitative Traits under Late Sown Conditions in Chickpea (Cicer arietinum L.)

2020 ◽  
Author(s):  
S.K. Jain ◽  
L.D. Sharma ◽  
K.C. Gupta ◽  
Vipen Kumar ◽  
M.R. Yadav
Keyword(s):  
Grain Yield ◽  
Seed Weight ◽  
Quantitative Traits ◽  
Agricultural Research ◽  
Broad Sense ◽  
Path Coefficient ◽  
Broad Sense Heritability ◽  
Path Coefficient Analysis ◽  
100 Seed Weight ◽  
Number Of Seeds

Background: Among all the pulses, chickpea is the most important rabi crop with high acceptability and wider use in India. More availability of quality seed of improved varieties being made available to the famers is one of the most important factors contributing to better harvest of chickpea in recent years. Therefore, there is urgent need for developing high yielding varieties of chickpea employing sound and effective breeding strategies. The study of variability, correlation and path coefficient analysis for seed yield with other yield contributing characters is of immense importance to get information regarding exercising selections for genetic improvement in chickpea.Methods: A total of 40 genotypes of chickpea were undertaken for present study and these genotypes evaluated in randomized block design (RBD) with three replications at Rajasthan Agricultural Research Institute (SKNAU), Jaipur Rajasthan, India under late sown conditions during rabi 2019-20. The experimental unit was four row plots of 4 m long and spacing between row to row was kept to 30 cm and plant to plant was 10 cm. The genetic parameters viz., mean GCV, PCV, broad sense heritability, genetic advance (GA), correlation coefficient and path analysis were estimated.Result: Genotypes revealed significant wide genetic variation for almost all the quantitative traits. Number of pods plant-1 exhibited highest PCV and GCV. The highest broad sense heritability (h2b) was recorded for days to maturity followed by days to 50% flowering and 100-seed weight. The 100-seed weight, number of pods plant-1, number of seeds pod-1 and primary branches plant-1 had positive genotypic correlation with grain yield. Path coefficient analysis depicted that among the 9 causal (independent) traits; number of seeds pod-1, number of pods plant-1, number of primary branches plant-1, plant height from ground to first pod (cm) and days to 50% flowering had positive and directly influence on grain yield. Therefore these traits can be taken into consideration while exercising selection for grain yield in chickpea.

Path Coefficient Analysis, Character Association and Variability Studies in Selected Maize (Zea mays L.) Genotypes Grown in Southern Nigeria

2019 ◽  
pp. 1-6
Author(s):  
Godwin Michael Ubi ◽  
Maria Bisong Onabe ◽  
Success Eni Kalu
Keyword(s):  
Grain Yield ◽  
Indirect Effects ◽  
Seed Weight ◽  
Block Design ◽  
Selection Index ◽  
Path Coefficient ◽  
Genotypic Correlation ◽  
Genetic Advance ◽  
Path Coefficient Analysis ◽  
100 Seed Weight

The success of any selection process is greatly enhanced by using appropriate selection indices. The knowledge of the relationship among various traits affecting grain yield is imperative to arrive at potentially effective selection index. The study was carried out to unveil the different attributes of genetic variability, the type of interrelationships among the various traits affecting yield. Fifteen local and improved maize inbred lines were crossed to three tester varieties to develop 45 test cross progenies. The parents and crosses (63 entries in all) were evaluated in two different locations with three replications at each location using the Randomized complete block design (RCBD). Data generated was recorded for the quantitative traits evaluated and subjected to statistical analysis for estimation of various variability parameters namely GCV, PCV, heritability and genetic advance alongside computing genotypic correlation coefficients and path coefficient analysis to unveil the direct and indirect effects of the various traits studied. The analysis of variability parameters evaluated revealed the presence of significant variability for all the traits studied. Grain yield, ear length, ear height, 100-seed weight and ear diameter showed high GCV estimates, with high heritability. The genetic advance was higher for plant height, ear length, grain/row and grain yield. The genotypic correlation coefficient revealed that ear diameter, 100 seed weight, ear length, kernel rows/ear and grains/row had highest significant correlation with grain yield. The path coefficient analysis revealed that highest direct effect on grain yield was exhibited by 100 seed weight followed by grains/row, kernel rows/ear, ear length and ear diameter. Most of the traits exerted their positive indirect effects through 100 – seed weight, kernel rows/ear and grains/row. The inferences of the results of the present study and their possible implications in maize breeding have been revealed.

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 

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.

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 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 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.

Estimation of genetic variability for seed yield and its components in chickpea (Cicer arientinum L.) genotypes

2017 ◽  
Author(s):  
Aybegün Ton ◽  
Adem Emin Anlarsal
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Yield Component ◽  
Broad Sense ◽  
Broad Sense Heritability ◽  
Design Data ◽  
Climate Conditions ◽  
100 Seed Weight

The present experiment was conducted to determine magnitude of genetic variability with fifteen kabuli chickpea genotypes in the 2013/2014 and 2014/2015 growing season under Mediterranean climate conditions. In this present study seed yield per plant and yield component were investigated. The experiment was orginazed with three replications in randomized complate blocks design. Data were recorded on plant height, number of branches per plant, height of first podding node, full and total pods number per plant, seeds number per plant, 100-seed weight and seed yield per plant. Analysis of variance for seed yield per plant and its component showed significant differences among all genotypes. Broad-sense heritability ranged from 12.27% (total pod number per plant) to 93.88% (100-seed weight). Moderate and high estimates of broad sense heritability were observed for branches number per plant, harvest index and 100-seed weight. It can be concluded that the seed yield of chickpea can be improved by selecting these characters in breeding chickpea materials.

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.

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