Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes
The objective of this study was to estimate the genetic parameters and optimal sample size for the lengths of the hypocotyl and epicotyls and to analyze the conversion of quantitative data in multiple categories for soybean genotypes. A total of 85 soybean genotypes were analyzed in four experiments in a completely randomized design under greenhouse conditions at the Federal University of Viçosa, Brazil. The magnitude of the genetic parameter estimates characterized the influence of the genetic components in the phenotypic expression of the length of the hypocotyls and epicotyls of different soybean genotypes. The optimal size of the sample varied between the genotypes and the conversion of the quantitative data in multiple categories provided estimates of correlation coefficients greater than 0.80 and coincidence greater than 81% between the converted data and the original data.
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Editora da Universidade Estadual de Maringá - EDUEM
2012
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oai:scielo:S1807-862120120003000062012-05-31Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypesMatsuo,ÉderSediyama,TuneoCruz,Cosme DamiãoOliveira,Rita de Cássia TeixeiraCadore,Luiz Renato Glycine max soybean improvement hypocotyl length epicotyl length The objective of this study was to estimate the genetic parameters and optimal sample size for the lengths of the hypocotyl and epicotyls and to analyze the conversion of quantitative data in multiple categories for soybean genotypes. A total of 85 soybean genotypes were analyzed in four experiments in a completely randomized design under greenhouse conditions at the Federal University of Viçosa, Brazil. The magnitude of the genetic parameter estimates characterized the influence of the genetic components in the phenotypic expression of the length of the hypocotyls and epicotyls of different soybean genotypes. The optimal size of the sample varied between the genotypes and the conversion of the quantitative data in multiple categories provided estimates of correlation coefficients greater than 0.80 and coincidence greater than 81% between the converted data and the original data.info:eu-repo/semantics/openAccessEditora da Universidade Estadual de Maringá - EDUEMActa Scientiarum. Agronomy v.34 n.3 20122012-09-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1807-86212012000300006en10.1590/S1807-86212012000300006 |
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Matsuo,Éder Sediyama,Tuneo Cruz,Cosme Damião Oliveira,Rita de Cássia Teixeira Cadore,Luiz Renato |
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Matsuo,Éder Sediyama,Tuneo Cruz,Cosme Damião Oliveira,Rita de Cássia Teixeira Cadore,Luiz Renato Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes |
| author_facet |
Matsuo,Éder Sediyama,Tuneo Cruz,Cosme Damião Oliveira,Rita de Cássia Teixeira Cadore,Luiz Renato |
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Matsuo,Éder |
| title |
Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes |
| title_short |
Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes |
| title_full |
Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes |
| title_fullStr |
Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes |
| title_full_unstemmed |
Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes |
| title_sort |
estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes |
| description |
The objective of this study was to estimate the genetic parameters and optimal sample size for the lengths of the hypocotyl and epicotyls and to analyze the conversion of quantitative data in multiple categories for soybean genotypes. A total of 85 soybean genotypes were analyzed in four experiments in a completely randomized design under greenhouse conditions at the Federal University of Viçosa, Brazil. The magnitude of the genetic parameter estimates characterized the influence of the genetic components in the phenotypic expression of the length of the hypocotyls and epicotyls of different soybean genotypes. The optimal size of the sample varied between the genotypes and the conversion of the quantitative data in multiple categories provided estimates of correlation coefficients greater than 0.80 and coincidence greater than 81% between the converted data and the original data. |
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Editora da Universidade Estadual de Maringá - EDUEM |
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2012 |
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1807-86212012000300006 |
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