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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| Format: | Article |
| Language: | English |
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MDPI AG
2020-04-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/10/4/598 |
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| author | Eneide Barth Juliano Tadeu Vilela de Resende Aline Fabiana Paladini Moreira Keny Henrique Mariguele André Ricardo Zeist Mayara Barbosa Silva Gianne Caroline Guidoni Stulzer João Gabriel Macedo Mafra Leandro Simões Azeredo Gonçalves Sergio Ruffo Roberto Khamis Youssef |
| author_facet | Eneide Barth Juliano Tadeu Vilela de Resende Aline Fabiana Paladini Moreira Keny Henrique Mariguele André Ricardo Zeist Mayara Barbosa Silva Gianne Caroline Guidoni Stulzer João Gabriel Macedo Mafra Leandro Simões Azeredo Gonçalves Sergio Ruffo Roberto Khamis Youssef |
| author_sort | Eneide Barth |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T20:18:22Z |
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| id | doaj.art-6600515f05a041eb92737acc04b72eeb |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T20:18:22Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-6600515f05a041eb92737acc04b72eeb2023-11-19T22:23:58ZengMDPI AGAgronomy2073-43952020-04-0110459810.3390/agronomy10040598Selection of Experimental Hybrids of Strawberry Using Multivariate AnalysisEneide Barth0Juliano Tadeu Vilela de Resende1Aline Fabiana Paladini Moreira2Keny Henrique Mariguele3André Ricardo Zeist4Mayara Barbosa Silva5Gianne Caroline Guidoni Stulzer6João Gabriel Macedo Mafra7Leandro Simões Azeredo Gonçalves8Sergio Ruffo Roberto9Khamis Youssef10Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri), Rua XV de Novembro, 525, Pomerode 89107-000, SC, BrazilDepartment of Agronomy, Londrina State University, Rodovia Celso Garcia 12 Cid, km 380, Londrina 86051-900, PR, BrazilDepartment of Agronomy, Londrina State University, Rodovia Celso Garcia 12 Cid, km 380, Londrina 86051-900, PR, BrazilEmpresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri), Rodovia Antônio Heil, 6800, Itajaí 88318-112, SC, BrazilUniversity of Western Paulista, Presidente Prudente 19050-920, SP, BrazilDepartment of Agronomy, Maringá State University, Av. Colombo, 5790, Maringá 87020-900, PR, BrazilDepartment of Agronomy, Londrina State University, Rodovia Celso Garcia 12 Cid, km 380, Londrina 86051-900, PR, BrazilDepartment of Agronomy, Londrina State University, Rodovia Celso Garcia 12 Cid, km 380, Londrina 86051-900, PR, BrazilDepartment of Agronomy, Londrina State University, Rodovia Celso Garcia 12 Cid, km 380, Londrina 86051-900, PR, BrazilDepartment of Agronomy, Londrina State University, Rodovia Celso Garcia 12 Cid, km 380, Londrina 86051-900, PR, BrazilAgricultural Researcher Center, Plant Pathology Research Institute, 9 Gamaa St., Giza 12619, EgyptThe 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.https://www.mdpi.com/2073-4395/10/4/598plant breedinghybridsstrawberryMulamba and Mock |
| spellingShingle | Eneide Barth Juliano Tadeu Vilela de Resende Aline Fabiana Paladini Moreira Keny Henrique Mariguele André Ricardo Zeist Mayara Barbosa Silva Gianne Caroline Guidoni Stulzer João Gabriel Macedo Mafra Leandro Simões Azeredo Gonçalves Sergio Ruffo Roberto Khamis Youssef Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis Agronomy plant breeding hybrids strawberry Mulamba and Mock |
| title | Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis |
| title_full | Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis |
| title_fullStr | Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis |
| title_full_unstemmed | Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis |
| title_short | Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis |
| title_sort | selection of experimental hybrids of strawberry using multivariate analysis |
| topic | plant breeding hybrids strawberry Mulamba and Mock |
| url | https://www.mdpi.com/2073-4395/10/4/598 |
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