Correlation and Path Coefficient Analysis of Yield and Yield Components in Chickpea (Cicer arietinum L.)

Shedge, P.J.; Patil, D.K.; Dawane, Jayshri Kautikrao

doi:10.20546/ijcmas.2019.807.157

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…Significant and positive correlations of seed yield with PH and NPP have also been established earlier [66]. The number of secondary branches per plant and PH positively correlated with SWP [67]. The seed yield was positively and statistically significantly correlated with biological yield, the harvest index, PH, NB, and NPP, while it was negatively and statistically significantly related to HSW [68].…”

Section: Discussionmentioning

confidence: 56%

SSR Genotyping and Marker–Trait Association with Yield Components in a Kazakh Germplasm Collection of Chickpea (Cicer arietinum L.)

Mazkirat,

Baitarakova,

Kudaybergenov

et al. 2023

Biomolecules

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Genetic diversity and marker–trait association with yield-related components were assessed in 39 chickpea accessions from a germplasm collection with either spring or autumn-sown seeds in South-Eastern Kazakhstan. Chickpea accessions originated from Azerbaijan, Germany, Kazakhstan, Moldova, Russia, Türkiye, Ukraine, Syria, and the International Center for Agricultural Research in the Dry Areas (ICARDA). Eleven SSR markers were used for molecular genotyping. Yield and yield components were evaluated in nine traits in experiments with spring and autumn seed sowing. The number of alleles of polymorphic markers varied from 2 to 11. The greatest polymorphism was found in the studied chickpea genotypes using SSR marker TA22 (11 alleles), while NCPGR6 and NCPGR12 markers were monomorphic. In the studied chickpea accessions, unique alleles of the SSR loci TA14, TA46, TA76s, and TA142 were found that were not previously described by other authors. An analysis of correlation relationships between yield-related traits in chickpea revealed the dependence of yield on plant height, branching, and the setting of a large number of beans. These traits showed maximal values in experiments with chickpea plants from autumn seed sowing. An analysis of the relationship between the SSR markers applied and morphological yield-related traits revealed several informative markers associated with important traits, such as plant height, height to first pod, number of branches, number of productive nodes, number of pods per plant, hundred seed weight, seed weight per plant, and seed yield.

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Section: Discussionmentioning

confidence: 56%

SSR Genotyping and Marker–Trait Association with Yield Components in a Kazakh Germplasm Collection of Chickpea (Cicer arietinum L.)

Mazkirat,

Baitarakova,

Kudaybergenov

et al. 2023

Biomolecules

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“…Information on the variability and correlation studies among the economic characters of the crop. is of great value to plant breeders (Shedge et al, 2019). It will not only, help to understand the desirable and undesirable relationship of economic characters but also help in assessing the scope of simultaneous improvement of two or more attributes (Shanmugam and Kalaimagal, 2019).…”

Section: Resultsmentioning

confidence: 99%

Genetic parameters and association analysis for grain yield and yield attributing traits in rice (Oryza sativa L.) germplasm lines

Mohan,

Krishna,

Krishna

et al. 2023

ECJ

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The intensity of trait association and genetic variability of yield attributing variables in 217 rice genotypes was investigated during kharif 2018. The existence of genetic variability among the genotypes was demonstrated by analysis of variance, which recorded significant differences for all the seven studied parameters. The estimation of variability indicated that The full grain number per panicle (37.2 % and 34.1 %) & single plant yield (24.7 % and 20.55 %) had the highest intensity of phenotypic coefficients of variation (PCV) and genotypic coefficients of variation ( GCV), and High heritability along with high genetic advance as a per cent of mean (GAM) was found in Plant height (98.9 % and 20.8 %), panicle number per plant (95.4 % and 36 %), panicle length(96.8 % and 35.9 %), full grain number per panicle(99.5 % and 61.6 %), thousand seed weight (98.1 % and 40.25 %) and single plant yield (69.2 % and 35.2 %) , depicting additive gene action in inheritance of these parameters. A simple selection procedure can help to enhance these characteristics even further. Correlation and regression coefficient findings indicated that plant height (0.193**) and the full grain number per panicle (0.177**) had a significant impact on single plant yield. The full grain number per panicle (0.265**), followed by thousand seed weight (0.194**) and plant height (0.110**), had the maximum direct positive effect on single plant yield, as per path coefficient analysis. As a result, accessions with a higher full grain number per panicle, thousand seed weight and plant height would be suitable for yield enhancement programme.

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“…Path coefficient analysis measures the direct effect of variable upon another and permits the separation of the correlation coefficient into components of direct and indirect effects (Paneliya et al, 2017;Tiwari et al, 2016;Shengel et al, 2018). Information on the variability and correlation studies among the economic characters of the crop is of great value to plant breeders (Swetha et al, 2019;Shedge et al, 2019). It will not only, help to understand the desirable and undesirable relationship of economic characters but also help in assessing the scope of simultaneous improvement of two or more attributes (Shanmugam and kalaimagal, 2019;Sial et al,2003).…”

Section: Methodsmentioning

confidence: 99%

Association, direct and indirect effects of yield, biochemical and physiological characters on seed yield in chickpea (Cicer arietinum L.)

Saikumar¹,

Yerrabala

Lavanya

et al. 2021

ECJ

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The present research consists of the 25 genotypes of chickpea (Cicer arietinum L.) which was carried out at the field experimentation center, Department of the Genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj during Rabi 2019-20 in Randomized Block Design with three replications with an aim to determine genetic variability, correlation, direct and indirect effects yield, biochemical and physiological characters on seed yield. All the genotypes of chickpea showed significant differences among them, significance variability existed for all the characters. Based on the mean performance, high yield was found for the C-18106 followed by C-18122, C-18103, and C-18101, genotypes C-18123, ICC-15896, C-18102 & GPF-02 showed against pod borer. High heritability (?70%) coupled with high genetic advance (?20%) were being observed for the number of seeds per plant, biological yield. Seed yield per plant exhibited positive and highly significant correlation with biological yield, chlorophyll index, starch content and number of seeds per plant at both genotypic and phenotypic level. Path analysis at phenotypic level identified hundred seed weight followed by chlorophyll index, number of seeds per plant, number of secondary branches, trypsin inhibitor and harvest index important direct components for seed yield per plant. Thus, due consideration should be given to these characters during the selection.

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Correlation and Path Coefficient Analysis of Yield and Yield Components in Chickpea (Cicer arietinum L.)

Cited by 3 publications

References 3 publications

SSR Genotyping and Marker–Trait Association with Yield Components in a Kazakh Germplasm Collection of Chickpea (Cicer arietinum L.)

SSR Genotyping and Marker–Trait Association with Yield Components in a Kazakh Germplasm Collection of Chickpea (Cicer arietinum L.)

Genetic parameters and association analysis for grain yield and yield attributing traits in rice (Oryza sativa L.) germplasm lines

Association, direct and indirect effects of yield, biochemical and physiological characters on seed yield in chickpea (Cicer arietinum L.)

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