Data/hora: 29/06/2024 09:23:39

Biblioteca(s): | Epagri-Sede.
Data corrente: | 23/04/2020
Data da última atualização: | 23/04/2020
Autoria: | BARTH, E.; RESENDE, J. T. V.; MOREIRA, A. F. P.; MARIGUELE, K. H.; ZEIST, A. R.; SILVA, M. B.; STULZER, G. C. G.; MAFRA, J. G. M.; GONÇALVES, L. S. A.; ROBERTO, S. R.; YOUSSEF, K.
Título: | Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis.
Ano de publicação: | 2020
Fonte/Imprenta: | Agronomy, Switzerland, v. 10, n. 598, p. 1-19, 2020.
Idioma: | Inglês

Conteúdo:

The selection of superior strawberry genotypes is a complex process due to the high
variability after hybridization that is caused by the octoploid nature and the heterozygosis, making
the selection of multiple traits difficult. This study aimed to select strawberry hybrids with the
potential for fresh consumption and/or processing by applying multivariate analysis to obtain traits
of interest simultaneously. Hybrids were obtained from the crossing among seven commercial
cultivars, defining a selection of 10% of them. The experimental design consisted of an augmented
block design, with two commercial cultivars, Camarosa and Camino Real, as the controls. Different
variables, including the number and average mass of commercial fruits, total fruit mass, pH, soluble
solids (SS), titratable acidity (TA), SS/TA ratio, reducing sugars, pectin, ascorbic acid, phenolic
compounds, and anthocyanin?s, were assessed. The selection of hybrids was based on the Mulamba
and Mock rank-summation index, principal component analysis, and Ward?s hierarchical cluster
analysis. The selection index was based on different weights being adopted for fresh market and
processing. The assessed traits had high variability between hybrids. The highest selection gains
were obtained for production traits, but the different weight assignment resulted in different
classifications of hybrids for both fresh consumption and processing. Most of the hybrids selected
by the index remained in the same group in the principal component and hierarchical cluster
analyses, which indicates that multivariate analysis is a valuable tool for assisting in the selection of
superior hybrids in the strawberry crop.

Palavras-Chave: | hybrids; Mulamba and Mock; plant breeding; strawberry.
Categoria do assunto: | G Melhoramento Genético
URL: | http://intranetdoc.epagri.sc.gov.br/producao_tecnico_cientifica/DOC_45149.pdf
Registro original: | Epagri-Sede (Epagri-Sede)
Exemplares: | Epagri-Sede - (104594-1) - UPC - AP - DD -  -  -  - DIS