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    STUDIES ON CHARACTER ASSOCIATION AND PATH CO-EFFICIENT ANALYSIS IN COWPEA (Vigna unguiculata (L.) Walp.)
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    Abstract:
    Seed yield in cowpea exhibited significant and positive association with days to maturity, plant height, number of branches, clusters and pods per plant, pod length and seeds per pod. However, days to 50 per cent flowering and 100 grain weight exhibited negative association with yield. The path analysis revealed that number of primary branches per plant, days to 50 per cent flowering and pods per plant had high positive direct effect on seed yield.
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    Path coefficient
    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
    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.
    Path coefficient
    Citations (0)
    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.
    Path coefficient
    Mung bean
    Non-invasive ventilation
    Citations (7)
    This study evaluates yield formation and breeding efforts in durum wheat grown in Morocco by the mean of path coefficient techniques based on plant ontogeny. A field experiment was conducted during 2008-2009 growing season with six Moroccan durum wheat varieties released between 1984 and 2007. Results obtained showed an increased grain yield from old to moderns varieties that was mainly due to longer vegetative period and heavy grains. Path coefficient analysis elucidates the correlation studies, and showed that grain yield was dependent on their three main components from old to modern varieties. Absolute and relative genetic gains in grain yield was 23 kg ha
    Path coefficient
    Growing season
    Citations (7)
    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
    Citations (1)
    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