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Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis

Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri), Rua XV de Novembro, 525, Pomerode 89107-000, SC, Brazil
Department of Agronomy, Londrina State University, Rodovia Celso Garcia 12 Cid, km 380, Londrina 86051-900, PR, Brazil
Department of Agronomy, Midwestern State University, Alameda Élio Antonio Dalla Vecchia, 838, Guarapuava 85040-080, PR, Brazil
Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri), Rodovia Antônio Heil, 6800, Itajaí 88318-112, SC, Brazil
University of Western Paulista, Presidente Prudente 19050-920, SP, Brazil
Department of Agronomy, Maringá State University, Av. Colombo, 5790, Maringá 87020-900, PR, Brazil
Agricultural Researcher Center, Plant Pathology Research Institute, 9 Gamaa St., Giza 12619, Egypt
Authors to whom correspondence should be addressed.
Agronomy 2020, 10(4), 598;
Received: 8 April 2020 / Revised: 16 April 2020 / Accepted: 17 April 2020 / Published: 22 April 2020
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. View Full-Text
Keywords: plant breeding; hybrids; strawberry; Mulamba and Mock plant breeding; hybrids; strawberry; Mulamba and Mock
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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.; Simões Azeredo Gonçalves, L.; Roberto, S.R.; Youssef, K. Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis. Agronomy 2020, 10, 598.

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