Studies of genetic variability, correlation and path coefficient for various characters in French Bean
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The research was conducted during the Rabi season of 2019-2020 on 32 genotypes of French bean (Phaseolus vulgaris L.) to evaluate genetic variability, correlation coefficient and path coefficient. The genotypes were studied for 13 different characters of growth and yield attributing characters in Randomized Block Design with three replications for each genotype. All characters recorded higher PCV value over GCV thereby indicating the influence of environmental factors in their expression. High heritability observed in all the characters studied and high heritability coupled with high genetic advance found in the parameters viz. number of pods per plant, average pod weight, 100 seed weight and pod yield per plant. Correlation coefficient analysis showed pod yield had significant and positive correlation with number of pods per plant, pod length, average pod weight and 100 seed weight. Path analysis revealed that maximum positive direct effect w.r.t pod yield per plant was brought about by the parameters viz. 100 seed weight, days taken to marketable maturity, number of seeds per pod, number of pods per plant, average pod weight, pod width and pod length hence, should be given more importance for genetic improvement to bring about an increase in overall production of french bean through enhanced pod yield per plant. SAARC J. Agric., 20(2): 83-91 (2022)Keywords:
Path coefficient
Genetic Variability
The present study was conducted to identify the nature and magnitude of genetic variability, correlation and path coefficient analysis among forty eight fenugreek genotypes under normal and moisture stress conditions in a randomized block design with three replications. The pooled analysis of variance indicated a significant interaction between genotypes and environments for majority of the traits. The analysis of variance for individual environments indicated the existence of significant variability for all the characters, justifying the selection of genotypes for the study. The values of phenotypic coefficient of variation were higher than the genotypic coefficient of variation indicated effect of environment on expression of all characters. The satisfactory estimates of coefficients of variation were recorded for pods per plant and seed yield per plant. High heritability coupled with high genetic advance as a percentage of mean was observed for pods per plant in both environments. The correlation and path coefficient analysis showed that pods per plant had a positive correlation with a high direct effect on seed yield. The results indicated that selection may be worthwhile for pods per plant due to lesser influence of environment and predominance of additive gene action in the genotypes for increasing seed yield. Keywords: Correlation, Fenugreek, Genetic Variability, Moisture Stress, Path, Seed Yield
Trigonella
Path coefficient
Genetic Variability
Coefficient of variation
Genetic correlation
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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.
Path coefficient
Dry weight
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In order to study the relationship between pod yield and its correlated characters (including stem high, number of branches and inflorescences and pods, pod length and pod weight), eight cultivars of dwarf French bean (Phaseolus vtilgaris L. var. humilis Alef.) are used with random block design. The main results are as follows. Significant difference existes among these cultivars for all seven characters mentioned above. But no significance of correlation coefficient of phenotype and genotype or environment between pod yield per plant and its seven correlated characters is found. Path coefficient analysis shows that one character which correlates to pod yield closely, indicates a little direct effect to pod yield because of one or more high negative indirect path coefficient. These negative indirect path coefficients cover up the genetic effect of this character to pod yield. Considering the phenotypic and genotypic path coefficient, number of pods and inflorescences are the most important characters to pod yield, number of branches, stem high and pod weight are secondary, and pod length is less important. High pod yield selection method in dwarf French bean is discussed.
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Genotypic correlation coefficient and path-coefficient analyses were carried out in 55 varieties of mung bean (Phaseolus sureus Roxb.). Seed dield das found to be associated with days to flower, plant height, pods per plant and seeds per pod. 100-seed weight was negatively correlated with seed yield, days to flower and plant height but was positively associated with length of pod. Length of pod was strongly associated with 100-seed weight and seeds per pod. Path-coefficient analysis revealed that length of pod, days to flower and plant height, had high positive direct effect on seed yield. Plant height and days to flower had negative indirect effect through length of pod and 100-seed weight. The results indicated that maximum weightage should be given to length of pod, days to flower and plant height while formulating selection indices for seed yield in mung bean.
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Mung bean
Non-invasive ventilation
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The research was conducted during the Rabi season of 2019-2020 on 32 genotypes of French bean (Phaseolus vulgaris L.) to evaluate genetic variability, correlation coefficient and path coefficient. The genotypes were studied for 13 different characters of growth and yield attributing characters in Randomized Block Design with three replications for each genotype. All characters recorded higher PCV value over GCV thereby indicating the influence of environmental factors in their expression. High heritability observed in all the characters studied and high heritability coupled with high genetic advance found in the parameters viz. number of pods per plant, average pod weight, 100 seed weight and pod yield per plant. Correlation coefficient analysis showed pod yield had significant and positive correlation with number of pods per plant, pod length, average pod weight and 100 seed weight. Path analysis revealed that maximum positive direct effect w.r.t pod yield per plant was brought about by the parameters viz. 100 seed weight, days taken to marketable maturity, number of seeds per pod, number of pods per plant, average pod weight, pod width and pod length hence, should be given more importance for genetic improvement to bring about an increase in overall production of french bean through enhanced pod yield per plant. SAARC J. Agric., 20(2): 83-91 (2022)
Path coefficient
Genetic Variability
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The correlation and path analysis on 14 agronomic traits of watermelon were studied.The results of correlation analysis showed that the thickness of skin and lignifications degree of epicarps were significantly related to fruit cracking rate.The gradual regression analysis revealed that 10 traits have direct and indirect effects on fruit cracking.The determine coefficient is 1.000 and the rest path coefficient is 0.001 8.Because of the direct path coefficient reaches 0.796,the lignifications degree of epicarps plays an important role on fruit cracking.So it can be taken as a main selective trait for anti-cracking variety.
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Indirect effect
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Dry bean
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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 R 2 = 68.22% showed their overall contribution towards seed yield. The rest of the variance (R 2 = 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.
Path coefficient
Dry weight
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Genetic variability, heritability, correlation and path analysis were estimated among 28 germplasm for 10 characters in Ajwain (Trachyspermum ammi L.). Analysis of variance revealed significant differences among the germplasm lines for number of secondary branches plant-1, number of umbels plant-1, number of umbellets umbel-1, seed yield plant-1, harvest index and oil content, suggesting sufficient amount of variability in the experimental material. The estimates of genotypic coefficient variation (GCV) and phenotypic coefficient variation (PCV) indicated the existence of fairly high degree of variability for seed yield plant-1, oil content, number of umbels plant-1 and harvest index. Lower values of GCV and PCV were recorded in number of umbellets umbel-1 indicating the important role of environment in the expression of the characters. High heritability associated with moderate genetic advance was recorded in traits like harvest index and seed yield plant-1. The association study among characters revealed that seed yield was positively and significantly correlated with number of umbellets plant-1. Path coefficient analysis revealed that number of umbellets plant-1 had maximum positive direct effect on seed yield plant-1.
Umbel
Path coefficient
Germ plasm
Genetic Variability
Ammi
Coefficient of variation
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Studies were conducted to estimate the direct and indirect effects of four agronomic traits on maize (Zea mays L.) grain yield by the application of simple coefficient correlation and path coefficient analysis in two experimental fields (Kafanchan and Kadawa). Generally, correlation coefficients among the yield component characters were similar in both locations; however path coefficients showed variation in Kafanchan and Kadawa. In the two research sites, plant height, cob length, cob diameter and 1000-grain weight had high positive correlation with maize grain yield and with each other. The path coefficient analysis revealed that plant height made the highest direct contribution (0.653 in Kadawa) to grain yield followed by 1000-grain weight with a direct contribution of 0.4290 in Kafanchan. The path analysis further disclosed these characters to be the most important components of grain yield. Both correlation and path coefficient analyses have established cob diameter as a less reliable agronomic trait than the other three variables included in the maize yield component analysis.
Keywords: Agronomic traits, Correlation coefficients, Path coefficients, Grain yield, Maize
Path coefficient
Trait
Positive correlation
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