Path Coefficient Analysis for Yield and Its Component Traits in Cluster Bean [Cyamopsis tetragonoloba (L.) Taub.] for Vegetable Yield and Seed Yield Traits

An experiment was carried out to study the correlation between yield components and their direct and indirect effects on the vegetable pod yield in cluster bean using 100 accessions. The correlation study revealed significant positive association of vegetable pod yield and characters viz., pod weight, pod length, pod girth, pods per plant, pod clusters per plant, plant height, shelf life and 100 seed weight. Pod length, pods per plant, plant height and pod clusters per plant were the characters responsible for maximum vegetable pod yield by imparting highest direct effect in path coefficient analysis. The correlation was also positive for these characters. The direct effect of the traits indicated its true relationship with pod yield. Hence, emphasis should be given for these characters, while making selection for high yielding genotypes in cluster bean.

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Correlation and path coefficient analysis of seed yield and oil content in mustard (Brassica juncea)

Canadian Journal of Genetics and Cytology ◽

10.1139/g83-049 ◽

1983 ◽

Vol 25 (3) ◽

pp. 312-317 ◽

Cited By ~ 9

Author(s):

B. P. Singh ◽

R. K. Chowdhury

Keyword(s):

Plant Height ◽

Brassica Juncea ◽

Seed Yield ◽

Seed Weight ◽

Oil Content ◽

Path Coefficient ◽

Path Coefficient Analysis ◽

Positive Effects ◽

Path Coefficients ◽

Component Traits

The present study was undertaken to determine the correlations and path coefficients between seed yield and its component traits and to assess the influence of different environments on 37 varieties of Brassica juncea L. Czern &Coss, grown under four different environments. Positive correlation of seed yield appeared with secondary branches, plant height, and seed weight, and only in environment 4 with seeds per pod. However, with oil content, seed yield was negatively correlated in two environments. Based on path analysis, secondary branches showed the maximum direct positive effects on seed yield followed by plant height. Considering these parameters and also the differences between lines having low and high levels of expression of seed yield and its components, it was concluded that for breeding model plant characters to maximise yield in B. juncea we should consider secondary branches, plant height, seed weight, and to some extent seeds per pod.

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Response of cluster bean (Cyamopsis tetragonoloba L. Taub.) cultivars todual inoculation with fixing and phosphorous solubizing bacteria

Legume Research - An International Journal ◽

10.18805/lr.v0i0.7021 ◽

2017 ◽

Author(s):

S. K. Brar ◽

Paramjit Singh

Keyword(s):

Plant Height ◽

Direct Effect ◽

Seed Yield ◽

Path Coefficient ◽

Cyamopsis Tetragonoloba ◽

Farm Yard Manure ◽

Cluster Bean ◽

Fodder Yield ◽

Positive Direct ◽

The Impact

A field experiment was conducted at Regional Station, PAU, Bathinda, to investigate the impact of dual inoculation with N fixing and phosphorous solublizing bacteria with different fertility levels on performance of cluster bean cultivars during Kharif 2013 and 2014. The experiment was laid out in randomized complete block design, keeping combination of four cultivars (RGC 936, HG 563, RGC 1003 and RGC 1066) and three fertility levels (Recommended inorganic nutrition 20 kg N and 47.5 kg P2O5/ha, 75 % recommended inorganic nutrition + Rhizobium + phosphorous solublizing bacteria inoculation and 50 % recommended inorganic nutrition + 50 % N through farm yard manure). Guar cultivar RGC 1066 produced maximum seed and dry fodder yield which was statistically at par with RGC 1003 and HG 363 but significantly superior than RGC 936. Plant height and pods/plant were also maximum in RGC 1066 and at par with RGC 1003 and HG 563 but significantly superior over RGC 936. Among the fertility levels, yield attributes and seed yield did not differ significantly except the 50 % flowering and dry fodder yield. Dry fodder yield was significantly higher in plots where 50 % N was substituted with farm yard manure than 25 % inorganic nutrition substituted with inoculation with Rhizobium + PSB and 100 % recommended inorganic fertilized plots. Path coefficient analysis revealed that days to 50 % flowering (DTFF) and pods/plant (PPP) had positive direct effect on Seed yield (SY) with path coefficient of 2.270 and 1.119 at contribution of 38.48 and 19.77 per cent of the total effects, respectively. The direct effect of plant height (PH) on seed yield (SY) was comparatively larger but negative at coefficient value of -2.459 with 41.66 per cent contribution which resulted in significant correlation (r=0.985).

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Assessment of Genetic Variability and Relationship between Different Quantitative Traits in Field Pea (Pisum sativum var. arvense) Germplasm

Legume Research - An International Journal ◽

10.18805/lr-4610 ◽

2021 ◽

Author(s):

Vijay Pratap ◽

Vijay Sharma ◽

Kamaluddin . ◽

Gaurav Shukla

Keyword(s):

Genetic Variability ◽

Correlation Coefficient ◽

Seed Yield ◽

Harvest Index ◽

Quantitative Traits ◽

Field Pea ◽

Path Coefficient ◽

Genetic Advance ◽

Path Coefficient Analysis ◽

Biological Yield

Background: Assessment of genetic variability and inter-relationship between the characters can be used in the breeding programme to evolve new varieties with wide genetic diversity to maximize the yield potential in crop improvement programmes. Eighty-four field pea genotypes were evaluated in an augmented block design for thirteen quantitative traits to study variance components, heritability, genetic advance and inter-relationship between the yield and yield contributing traits. Methods: The extent of phenotypic and genotypic variation that exist in a character was calculated by the formula suggested by Burton and de Vane (1953). Heritability in broad sense and genetic advance as per cent of mean for each character was computed using the formula suggested by Hanson et al. (1956) and Johnson et al. (1955), respectively. Correlation coefficient was calculated by method suggested by Searle (1961) and path coefficient analysis done as per method of Wright (1921) and elaborated by Dewey and Lu (1959).Result: Significant differences observed among the genotypes tested for the yield characters indicated the presence of variability. High heritability coupled with high genetic advance as percent of mean was observed for the traits viz., plant height, effective pods plant-1, harvest index and seed yield plant-1 were governed by additive gene effects which will aid in effective selection. Correlation coefficient analysis revealed that seed yield plant-1 had highly significant and positive correlation with biological yield plant-1, effective pods plant-1, harvest index, seeds pods-1 and effective nodes plant-1, indicating that these traits are strongly associated with seed yield in field pea. Path coefficient analysis identified biological yield plant-1 followed by harvest index, seed pod-1, effective nodes plant-1, 100-seed weight and day to 50% flowering as highly desirable components with great direct effects on seed yield.

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