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Provedor de dados:  Ciência Rural
País:  Brazil
Título:  Methods of analysis and number of replicates for trials with large numbers of soybean genotypes
Autores:  Matei,Gilvani
Benin,Giovani
Storck,Lindolfo
Milioli,Anderson Simionato
Bozi,Antonio Henrique
Dalló,Samuel Cristian
Lucion,Ricardo Antonio
Data:  2017-01-01
Ano:  2017
Palavras-chave:  Glycine max
Resampling
Experimental precision
Experimental design
Selective accuracy
Resumo:  ABSTRACT: The aim of this study was to evaluate the experimental precision of different methods of statistical analysis for trials with large numbers of soybean genotypes, and their relationship with the number of replicates. Soybean yield data (nine trials; 324 genotypes; 46 cultivars; 278 lines; agricultural harvest of 2014/15) were used. Two of these trials were performed at the same location, side by side, forming a trial with six replicates. Each trial was analyzed by the randomized complete block, triple lattice design, and use of the Papadakis method. The selective accuracy, least significant difference, and Fasoulas differentiation index were estimated, and model assumptions were tested. The resampling method was used to study the influence of the number of replicates, by varying the number of blocks and estimating the precision measurements. The experimental precision indicators of the Papadakis method are more favorable as compared to the randomized complete block design and triple lattice. To obtain selective accuracy above the high experimental precision range in trials with 324 soybean genotypes, two repetitions can be used, and data can be analyzed using the randomized complete block design or Papadakis method.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000400202
Editor:  Universidade Federal de Santa Maria
Relação:  10.1590/0103-8478cr20160629
Formato:  text/html
Fonte:  Ciência Rural v.47 n.4 2017
Direitos:  info:eu-repo/semantics/openAccess
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