Determination of Green Pod Yield Components in French Bean (<i>Phaseolus vulgaris</i>L.) through Correlation and Path Coefficient Analyses

Pandey, VP; Singh, Vivek Kumar; Upadhyay, D. K.

doi:10.5958/j.2229-4473.26.2.108

Cited by 5 publications

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“…This suggested that the direct selection of these traits would likely be effective in increasing seed yield. Similar findings were observed by other researchers such as Asati and Singh (2008) and Pandey et al (2013). The significant positive correlation of NPP with NSP, PL and NBP showed that the selection of any of these traits may favour improvement in other traits also whereas negative correlation with HSW may adversely affect the gain.…”

Section: Correlation Studiessupporting

confidence: 90%

Assessment of Genetic Variability, Diversity and Trait Correlation Analysis in Common Bean (Phaseolus vulgaris L.) Genotypes

Basavaraja

Manjunatha

Chandora

et al. 2020

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The present investigation was undertaken to study the genetic variability, diversity through cluster analysis and correlation among yield attributing traits. The experimental material is comprised of 63 diverse germplasm accessions including three check varieties were evaluated in augmented design during Rabi 2015-16 at IIPR, Kanpur. In this study, totally nine traits, namely, days to fifty per cent flowering (DF), days to maturity (DM), plant height (PH), number of branches per plant (NBP), number of pods per plant (NPP), pod length (PL), seeds per pod (SPP), 100 seeds wt (g) (HSW) and seed yield per plant (g) (SYP) were recorded. The results exhibited that the analysis of variance noticed significant differences among the genotypes for all characters studied. The genetic variability parameter showed that phenotypic coefficient of variation (PCV) were higher than those of genotypic coefficient of variation (GCV) for all the traits studied. Higher GCV coupled with heritability and genetic advance as % mean was recorded for PH, NPP, HSW and SYP. Likewise, high heritability coupled with high genetic advance as % mean was recorded in DF, PH, NPP, PL, HSW and SYP. Trait association study revealed that the seed yield per plant exhibited significant positive correlation with NBP, NPP, NSP and HSW. In the same pattern, Euclidian clustering analysis displays 63 genotypes were grouped to two major clusters. From this investigation, it was observed that all genotypes showed sufficient genetic variability for the traits studied. The genotype such as EC400414, EC400398, ET8415 and EC540173 were superior to check varieties in terms of morphological and other agronomic traits. These genotypes could be utilized in breeding programme for improvement of specific traits.

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Section: Correlation Studiessupporting

confidence: 90%

Assessment of Genetic Variability, Diversity and Trait Correlation Analysis in Common Bean (Phaseolus vulgaris L.) Genotypes

Basavaraja

Manjunatha

Chandora

et al. 2020

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“…Number of pods per plant, pod length, 100-seed weight showed significant positive correlation with seed yield per plant and among themselves indicating that simultaneous selection for this character would result in improvement of high yielding Rajmash bean genotypes. Similar, findings were reported by Asati and Singh (2008), Karasu and Oza (2010), Pandey et al (2013), Sharma and Sridevi (2016) and Patel et al (2021b). Positive correlation between pod length and number of seeds per pod indicates that with longer pods more space is provided for seeds increases yield.…”

Section: Resultssupporting

confidence: 88%

Combining Ability Analysis and Association of Yield and Yield Components among Selected Rajmash (Phaseolus vulgaris L.) Lines

Gandhi,

Sharma,

Patel

et al. 2024

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Background: Rajmash (Phaseolus vulgaris L.) is a significant leguminous crop known for its high protein content and dietary value. As global demand for nutritious food sources rises, enhancing the productivity and nutritional quality of Rajmash has become imperative. This research paper aims to investigate the combining ability and character associations in rajmash to facilitate the development of improved varieties with superior agronomic traits. Methods: An experiment was carried out in Rajmash using line × tester mating design to estimate the gca effect of parents and sca effect of 21 hybrids for yield and its traits using 7 lines and 3 testers. Hybrids along with ten parents were studied for combining ability and phenotypic correlations for seed yield and nine yield related traits. Result: The result indicated that the general combining ability (GCA) and specific combining ability (SCA) were significant for most characters indicating the importance of both additive and non-additive genetic components. This implies that a comprehensive understanding of both types of genetic effects is crucial for effective breeding programs. Among parent TRCR 3, SKAU-R-19, RR-21-01 and RKR 1033 were found to be good general combiners for seed yield per plant. This indicates their potential to consistently impart favorable traits to their progeny. The identification of such strong general combiners is valuable information for breeders aiming to enhance overall seed yield. The most promising specific combiners for seed yield were from crosses including SKAU-R-19 × RKR 1033, IPR-205-19 × HUR, RR-21-01 × RKR 1033, RR-21-12 × GR 1 and RR-21-01 × HUR. Significant desirable phenotypic correlations were observed between seed yield with days to flowering, days maturity, number of pods per plant, pod length and 100 seed weight these characters can act as indirect selection criteria in yield that could be used in rajmash breeding programs. The identification of strong general combiners, promising specific crosses and meaningful phenotypic correlations offers practical guidance for future breeding efforts, contributing to the development of improved varieties with enhanced yield potential and desirable agronomic traits.

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“…Similar findings were also reported by Ahmed and Kamaluddin (2013), Rai et al (2010), Pandey et al (2013) and Kumar et al (2014). Table 2: Estimates of direct and indirect effect of different characters on marketable yield at phenotypic and genotypic level in french bean…”

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confidence: 89%

Inter-characters association studies for morphological, yield and yield attributes in the germplasm of french bean (Phaseolus vulgaris L.) in Tarai region of Uttarakhand, India

Panchbhaiya

Singh

Jain

2017

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The 74 french bean genotypes were evaluated for twenty two quantitative traits to study the character association and path analysis during Jan-May, 2014. Pod yield was highly significant and positive correlated with days to 50% flowering, seed yield per plant, plant height, number of pods per plant, number of pod clusters per plant, number of pods per cluster, number of seeds per pod, pod length and weight of single pod. Path coefficient analysis revealed that single pod weight and number of pods per plant had the highest positive contribution towards the pod yield.Key words: French bean, Genotypic correlation, Phenotypic correlation, Path coefficient analysis, Pod yield.French bean (Phaseolus vulgaris L.), 2n=22 is one of the most popular leguminous vegetable crop in many part of the world. India has about 137.54 thousand ha area under bean cultivation and the production is 1370.21 thousand MT with an annual productivity 9.96 MT/ha green pod (Anonymous, 2015). Study of correlation between different quantitative characters provides an idea of association that could be effectively exploited to formulate selection strategy for improving yield components. The efficiency of selection can be improved by estimating the relative degree of association between different pair of characters. The path coefficient technique helps in estimating the direct and indirect contribution various traits out of the total correlation towards yield. Pleiotropy is the simple property of genes which affects two or more characters. So, it carries simultaneous variation in the characters. Pleiotropy does not necessarily cause a detectable correlation because correlation resulting from it is the overall effects of the gene that affects both the characters. Some genes increase both characters (positive correlation) with other increase one and decrease the other (negative correlation).The present investigation was conducted at Vegetable Research Centre, G.B. Pant University of Agriculture and Technology, Pantnagar, U.S. Nagar (Uttarakhand) during Jan-May, 2014. The experimental material comprised of 74 genotypes. All genotypes were collected from GBPUAT Pantnagar. The experiment was laid out in randomized block design with three replications. Each genotype was sown in three meter row length following plant spacing at 30 x 20 cm apart. The observations were recorded on five randomly selected competitive plants per replication for each entry on twenty two quantitative traits. Correlation and path coefficient analysis were calculated following Searle's (1961) and Dewey and Lu (1959), respectively.Seed yield per plant showed positive and highly significant correlation with days to 50% maturity, 100 seed weight, number of pods per plant, number of seeds per pod, seed length, pod yield per plant and pod yield per hectare (Table 1). Similar findings were also reported by Karasu and Oz (2010), Ahmed (2011), Ahmed andKamaluddin (2013) and Negahi et al. (2014). Pod yield per hectare shows highly significant correlation with pod yield per plant, ...

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Determination of Green Pod Yield Components in French Bean (Phaseolus vulgarisL.) through Correlation and Path Coefficient Analyses

Cited by 5 publications

References 0 publications

Assessment of Genetic Variability, Diversity and Trait Correlation Analysis in Common Bean (Phaseolus vulgaris L.) Genotypes

Assessment of Genetic Variability, Diversity and Trait Correlation Analysis in Common Bean (Phaseolus vulgaris L.) Genotypes

Combining Ability Analysis and Association of Yield and Yield Components among Selected Rajmash (Phaseolus vulgaris L.) Lines

Inter-characters association studies for morphological, yield and yield attributes in the germplasm of french bean (Phaseolus vulgaris L.) in Tarai region of Uttarakhand, India

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