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 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.

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.

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.

scholarly journals CHARACTER ASSOCIATION OF SOYBEAN (Glycine max) LINES FOR YIELD CONTRIBUTING TRAITS

2015 ◽  
Vol 26 (2) ◽  
pp. 33-38 ◽  
Author(s):  
A. K. M. S. Islam ◽  
P. K. Rai
Keyword(s):  
Plant Height ◽  
Seed Weight ◽  
Residual Effect ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Soybean Genotype ◽  
Plant Seeds ◽  
Days To Maturity ◽  
Positive Effect ◽  
100 Seed Weight

The present study was conducted with ten soybean genotype on correlation, path coefficient and genetic component of some important traits. Ten characters were studied to find out the suitable traits for the improvement of soybean yield. It was observed that yield per plot was positively correlated with pods per plant, seeds per pod, branches per plant, harvest index, days to maturity and plant height which revealed that selection based on these traits could significantly improved the grain yield of soybean. From the path coefficient analysis, it was observed that among the different yield contributing characters pods per plant, seeds per pod, plant height, 100 seed weight contributed maximum direct positive effect to yield per plot. Negative direct effect was observed for days to flowering and days to maturity, but its correlation with yield was positive. It was due to its positive indirect effect. The residual effect was found 0.175 which indicated that 82.50% of the variability was accounted for 10 yield and yield contributing traits included in the present study. Rest 17.50% variability might be controlled by other yield contributed traits that was not included in the present investigation.

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.

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.

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 Correlation and Path Coefficient Analysis in Tuberose Cultivars Single

2020 ◽  
Author(s):  
D. Priyanka Gandhi ◽  
T. Usha Bharathi
Keyword(s):  
Plant Height ◽  
Direct Effect ◽  
Spike Length ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Quantitative Characters ◽  
Number Of Leaves ◽  
Positive Direct ◽  
Very High

A study was carried out to determine the association between different quantitative characters of eighteen genotypes of tuberose cultivars single. The highest positive and significant association was recorded for spike yield with plant height (0.33), rachis length (0.30), number of florets per spike (0.34), weight of single floret (0.63), matured bud weight (0.66), duration of flowering (0.52). The results of path coefficient analysis indicated that the weight of the floret (1.48) had very high positive direct effect on spike yield per plant followed by length of the floret (0.84) number of florets per spike (0.45) and duration of flowering (0.41). Spike length (0.27) had moderate positive direct effect. Plant height (0.16) and number of leaves (0.17) showed low positive direct effect and rest of the characters had negligible positive direct effect on spike yield per plant. The results of the study indicates that the above mentioned characters can be used for the improvement of tuberose.

scholarly journals Correlation and path-coefficient analysis in Ramnad Mundu chilli (Capsicum annuum L.) for yield and quality traits

2021 ◽  
Vol 16 (1) ◽  
pp. 1-6
Author(s):  
J. Phani Kumar ◽  
P. Paramaguru ◽  
T. Arumugam ◽  
N. Manikanda Boopathi ◽  
K. Venkatesan
Keyword(s):  
Capsicum Annuum ◽  
Seed Weight ◽  
Block Design ◽  
Crop Improvement ◽  
Fruit Yield ◽  
Direct Selection ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Capsicum Annuum L ◽  
Positive Direct

The present investigation was conducted to find the correlation and path-coefficient analysis for yield and yield contributing characters in Ramnad Mundu chilli (Capsicum annuum L.) during Kharif 2018-19. The experiment was conducted on Forty-seven Mundu chilli genotypes for 15 characters, which was laid out in Randomized Complete Block Design with two replications. From correlation study dry fruit yield per plant showed highly positive correlation with number of fruits per plant (0.971 G, 0.894 P), ripened fruit yield per plant (0.991 G, 0.949 P), number of seeds per fruits (0.383 G, 0.32 P), 1000 seed weight (0.369 G, 0.332 P), capsaicin % (0.302 G, 0.256 P) and number of primary branches per plant (0.267 G, 0.251 P) at both genotypic and phenotypic level. Path-coefficient analysis of different characters contributing towards the highest positive direct effect via number of fruits per plant (0.973), ripened fruit yield per plant (0.991), no. of seeds per fruit (0.383), 1000 seed weight (0.364), capsaicin % (0.302) and number of primary branches per plant (0.267). Hence, direct selection based on these characters would be effective in crop improvement through plant breeding in Mundu chilli.

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