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Registro Completo |
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
23/04/2020 |
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Data da última atualização: |
23/04/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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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. |
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Título: |
Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Agronomy, Switzerland, v. 10, n. 598, p. 1-19, 2020. |
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Idioma: |
Inglês |
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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. MenosThe 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 pri... Mostrar Tudo |
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Palavras-Chave: |
hybrids; Mulamba and Mock; plant breeding; strawberry. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 02494naa a2200289 a 4500
001 1129592
005 2020-04-23
008 2020 bl uuuu u00u1 u #d
100 1 $aBARTH, E.
245 $aSelection of Experimental Hybrids of Strawberry Using Multivariate Analysis.$h[electronic resource]
260 $c2020
520 $aThe 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.
653 $ahybrids
653 $aMulamba and Mock
653 $aplant breeding
653 $astrawberry
700 1 $aRESENDE, J. T. V.
700 1 $aMOREIRA, A. F. P.
700 1 $aMARIGUELE, K. H.
700 1 $aZEIST, A. R.
700 1 $aSILVA, M. B.
700 1 $aSTULZER, G. C. G.
700 1 $aMAFRA, J. G. M.
700 1 $aGONÇALVES, L. S. A.
700 1 $aROBERTO, S. R.
700 1 $aYOUSSEF, K.
773 $tAgronomy, Switzerland$gv. 10, n. 598, p. 1-19, 2020.
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Epagri-Sede (Epagri-Sede) |
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
01/06/2023 |
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Data da última atualização: |
01/06/2023 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
GIEHL, A. L. |
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Título: |
Suinocultura - Abril 2023. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Boletim Agropecuário, Florianópolis, n. 119, p. 40-45, 2023. |
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Idioma: |
Português |
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Conteúdo: |
O presente documento apresenta a análise conjuntural do mercado e da produção de suínos em Santa Catarina. O mesmo constitui-se em parte integrante do Boletim Agropecuário da Epagri/Cepa referente ao mês de abril/2023 (Boletim n. 119). |
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Thesagro: |
Análise de mercado; carne suína; conjuntura; exportações; preços; suinocultura; suínos. |
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Categoria do assunto: |
E Economia e Indústria Agrícola |
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Marc: |
LEADER 00774naa a2200205 a 4500
001 1133332
005 2023-06-01
008 2023 bl uuuu u00u1 u #d
100 1 $aGIEHL, A. L.
245 $aSuinocultura - Abril 2023.$h[electronic resource]
260 $c2023
520 $aO presente documento apresenta a análise conjuntural do mercado e da produção de suínos em Santa Catarina. O mesmo constitui-se em parte integrante do Boletim Agropecuário da Epagri/Cepa referente ao mês de abril/2023 (Boletim n. 119).
650 $aAnálise de mercado
650 $acarne suína
650 $aconjuntura
650 $aexportações
650 $apreços
650 $asuinocultura
650 $asuínos
773 $tBoletim Agropecuário, Florianópolis$gn. 119, p. 40-45, 2023.
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