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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
24/07/2018 |
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Data da última atualização: |
24/07/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FLÔRES JUNIOR, P. C.; IKEDA, A. C.; SCHUHLI, G. S. e; SILVA, L. D.; HIGA, A. R. |
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Afiliação: |
Paulo César Flôres Junior, UFPR; Angela Cristina Ikeda, UFPR; GUILHERME SCHNELL E SCHUHLI, CNPF; Luciana Duque Silva, ESALQ; Antonio Rioyei Higa, Professor da UFPR. |
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Título: |
Repeatability and genetic dissimilarity using biometric traits of black wattle seeds. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Advances in Forestry Science, v. 5, n. 2, p. 333-337, 2018. |
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Idioma: |
Inglês |
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Conteúdo: |
Selecting superior individuals requires a careful genetic evaluation. For this reason, repeated measurements of biometric traits need to be carried out in the same individual. This index is a strategic tool aimed to assist in providing accurate observations and further selection. The objectives of this study were to estimate the repeatability coefficient in many seed traits for black wattle clones; test the best method to estimate the optimal number of measurements required; and to analyze genetic dissimilarity. Seed weight, longitudinal length, transversal length, thickness and hilum size were evaluated in nine clones measuring 50 seeds per clone The following methods were employed in the evaluation: analysis of variance, principal component analysis (PCA) based on the correlation and covariance matrices, and structural analysis. Mahalanobis distance was calculated and a scatter plot was created to evaluate genetic dissimilarity. The results showed that the most effective method to determine the repeatability coefficient was PCA based on the covariance matrix. Twenty measurements are needed in order to achieve a coefficient of determination of 90%. Based on the measures of genetic dissimilarity, it was possible to differentiate clones and to recognize two genetically distinct groups. |
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Palavras-Chave: |
Black wattle; Coeficiente de repetibilidade; Number of measurements. |
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Thesagro: |
Acácia Mearnsii. |
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Thesaurus Nal: |
Principal component analysis; Repeatability. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/180193/1/2018-G.Schuhli-AFS-Repeatability.pdf
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Marc: |
LEADER 02045naa a2200241 a 4500
001 2093520
005 2018-07-24
008 2018 bl uuuu u00u1 u #d
100 1 $aFLÔRES JUNIOR, P. C.
245 $aRepeatability and genetic dissimilarity using biometric traits of black wattle seeds.$h[electronic resource]
260 $c2018
520 $aSelecting superior individuals requires a careful genetic evaluation. For this reason, repeated measurements of biometric traits need to be carried out in the same individual. This index is a strategic tool aimed to assist in providing accurate observations and further selection. The objectives of this study were to estimate the repeatability coefficient in many seed traits for black wattle clones; test the best method to estimate the optimal number of measurements required; and to analyze genetic dissimilarity. Seed weight, longitudinal length, transversal length, thickness and hilum size were evaluated in nine clones measuring 50 seeds per clone The following methods were employed in the evaluation: analysis of variance, principal component analysis (PCA) based on the correlation and covariance matrices, and structural analysis. Mahalanobis distance was calculated and a scatter plot was created to evaluate genetic dissimilarity. The results showed that the most effective method to determine the repeatability coefficient was PCA based on the covariance matrix. Twenty measurements are needed in order to achieve a coefficient of determination of 90%. Based on the measures of genetic dissimilarity, it was possible to differentiate clones and to recognize two genetically distinct groups.
650 $aPrincipal component analysis
650 $aRepeatability
650 $aAcácia Mearnsii
653 $aBlack wattle
653 $aCoeficiente de repetibilidade
653 $aNumber of measurements
700 1 $aIKEDA, A. C.
700 1 $aSCHUHLI, G. S. e
700 1 $aSILVA, L. D.
700 1 $aHIGA, A. R.
773 $tAdvances in Forestry Science$gv. 5, n. 2, p. 333-337, 2018.
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Embrapa Florestas (CNPF) |
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