Phenotypic correlation, path coefficient and multivariate analysis for yield and yield-associated traits in groundnut accessions

Mubai, N and Sibiya, J and Mwololo, J and Musvosvi, C and Charlie, H and Munthali, W and Kachulu, L and Okori, P and Tejada Moral, M (2020) Phenotypic correlation, path coefficient and multivariate analysis for yield and yield-associated traits in groundnut accessions. Cogent Food & Agriculture, 6 (1). pp. 1-22. ISSN 2331-1932

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Abstract

Yield is a complex quantitative trait largely influenced by the environment. Direct selection for grain yield is less efficient in improving groundnut productivity. The selection efficiency can be enhanced by exploiting the relationship between yield and its related traits. Moreover, the use of genetically diverse parents is essential to generate genetic variation for successful selection of genotypes in a breeding program. Therefore, the study aimed at analysing the relationship between grain yield and its related traits and determining the morphological diversity among selected groundnut genotypes under natural rosette disease (GRD) infestation. The genotypes were evaluated in a 7 × 4 alpha lattice design with three replications. Data were collected on yield and yield-related traits. Correlation, path coefficient and multivariate analyses were done. The results revealed that yield was directly associated with plant height, number of pods per plant, hundred seed weight, GRD incidence and number of secondary branches. Therefore, these traits should be considered in selection when improving groundnut for yield. Cluster analysis revealed existence of diversity among the evaluated groundnut genotypes with no influence of geographical origin to the clustering pattern. The Principal Components Analysis (PCA) biplot was effective in showing the genetic distance among the genotypes and the results were comparable with those of the cluster analysis. Moreover, Shannon-Weaver diversity indices revealed existence of high diversity among the genotypes, an implication that groundnut improvement for yield is possible through selection in breeding.

Item Type:	Article
Divisions:	Research Program : East & Southern Africa
CRP:	UNSPECIFIED
Uncontrolled Keywords:	Groundnut, Correlation, Path analysis, Diversity, Cluster, Principal component, Analysis
Subjects:	Others > Crop Yield Mandate crops > Groundnut Others > Genetics and Genomics
Depositing User:	Mr Arun S
Date Deposited:	29 Dec 2020 14:15
Last Modified:	29 Dec 2020 14:15
URI:	http://oar.icrisat.org/id/eprint/11682
Official URL:	https://doi.org/10.1080/23311932.2020.1823591
Projects:	UNSPECIFIED
Funders:	Bill and Melinda Gates Foundation
Acknowledgement:	The technical support in execution of field experiments by field technicians at the International Crops Research Institute for the Semi-Arid Tropics is highly appreciated. The logistical support by the administrative country office contributed immensely to the success of the research
Links:	Google Scholar

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