Data/hora: 01/06/2024 12:56:06

Biblioteca(s): | Epagri-Sede.
Tipo da produção científica: | Artigo em Periódico Indexado
Data corrente: | 03/08/2022
Data da última atualização: | 03/08/2022
Autoria: | BARTH, E.; RESENDE, J. T. V.; MARIGUELE, K. H.; RESENDE, M. D. V.; SILVA, A. L. B. R.; RU, S.
Título: | Multivariate analysis methods improve the selection of strawberry genotypes with low cold requirement.
Ano de publicação: | 2022
Fonte/Imprenta: | Scientific Reports, New York, 2022.
Idioma: | Inglês

Conteúdo:

Methods of multivariate analysis is a powerful approach to assist the initial stages of crops genetic 
improvement, particularly, because it allows many traits to be evaluated simultaneously. In this 
study, heat-tolerant genotypes have been selected by analyzing phenotypic diversity, direct and 
indirect relationships among traits were identifed, and four selection indices compared. Diversity 
was estimated using K-means clustering with the number of clusters determined by the Elbow 
method, and the relationship among traits was quantifed by path analysis. Parametric and nonparametric indices were applied to selected genotypes using the magnitude of genotypic variance, 
heritability, genotypic coefcient of variance, and assigned economic weight as selection criteria. 
The variability among materials led to the formation of two non-overlapping clusters containing 40 
and 154 genotypes. Strong to moderate correlations were found between traits with direct efect of 
the number of commercial fruit on the mass of commercial fruit. The Smith and Hazel index showed 
the greatest total gains for all criteria; however, concerning the biochemical traits, the Mulamba 
and Mock index showed the highest magnitudes of predicted gains. Overall, the K-means clustering, 
correlation analysis, and path analysis complement the use of selection indices, allowing for selection 
of genotypes with better balance among the assessed traits.

Thesagro: | none.
Categoria do assunto: | F Plantas e Produtos de Origem Vegetal
URL: | http://intranetdoc.epagri.sc.gov.br/producao_tecnico_cientifica/DOC_52640.pdf
Registro original: | Epagri-Sede (Epagri-Sede)
Exemplares: | Epagri-Sede - (107100-1) - UPC - AP - DD -  -  -  - DIS