Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis

Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis

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 fr...

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Bibliographic Details
Published in:Agronomy (Basel) Vol. 10; no. 4; p. 598
Main Authors: Barth, Eneide, Resende, Juliano Tadeu Vilela de, Moreira, Aline Fabiana Paladini, Mariguele, Keny Henrique, Zeist, André Ricardo, Silva, Mayara Barbosa, Stulzer, Gianne Caroline Guidoni, Mafra, João Gabriel Macedo, Simões Azeredo Gonçalves, Leandro, Roberto, Sergio Ruffo, Youssef, Khamis
Format: Journal Article
Language:English
Published: Basel MDPI AG 01-04-2020
Subjects:
Acidity
Acids
Analysis
Anthocyanins
Ascorbic acid
Cluster analysis
Consumption
Cultivars
Design of experiments
Experimental design
Festivals
Fragaria
Fruits
Fruits (Food)
Genotypes
Hybridization
Hybrids
Mulamba and Mock
Multivariate analysis
Organic acids
Pectin
Phenolphthalein
Phenols
plant breeding
Polyethylene
Principal components analysis
Rankings
Strawberries
strawberry
Sugar
Variability
Brazil
United Kingdom
United States > US
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Summary: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.
ISSN:2073-4395
2073-4395
DOI:10.3390/agronomy10040598