Estatísticas de avaliação da precisão experimental em ensaios de cultivares de milho

Filho, Alberto Cargnelutti; Storck, Lindolfo

doi:10.1590/s0100-204x2007000100003

Cited by 62 publications

(65 citation statements)

References 8 publications

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“…The revealed determination coefficients can be considered as high, especially for the genotypic -(0.940), indicating good adjustment of the data to the model used in this research -and phenotypic (0.679) effects. The statistics of the determination coefficient has favorable properties for the classification of the quality of the experiment, along with statistics such as selective accuracy, of the relationship between the coefficients of genetic and experimental variation, heritability (CARGNELUTTI FILHO & STORCK, 2007), where even greater magnitudes of the statistics heritability and coefficient of determination are associated with lower residual variances (CARGNELUTTI FILHO & STORCK, 2009). …”

Section: Resultsmentioning

confidence: 99%

Association of secondary traits with yield in maize F 1 's

et al. 2016

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Section: Resultsmentioning

confidence: 99%

Association of secondary traits with yield in maize F 1 's

et al. 2016

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“…In a study of 175 competition trials of irrigated rice in RCBD, with number of genotypes in the range of 5-36, SA was suitable to evaluate experimental precision in the trials and use of more than five replicates was of little contribution to precision gains (CARGNELUTTI FILHO et al, 2012). In another study with 101 maize yield trials, in RCBD, FDI was also suitable to classify the experimental precision (CARGNELUTTI FILHO & STORCK, 2007). In this study, it was observed that FDI values in RCBD are smaller than those obtained using the Papadakis method with any number of replicates.…”

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Methods of analysis and number of replicates for trials with large numbers of soybean genotypes

et al. 2017

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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.

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“…As estatísticas acurácia seletiva, coefi ciente de herdabilidade, coefi ciente de determinação e valor do teste F para cultivares têm relação algébrica entre si, são mais adequadas do que o coefi ciente de variação e a diferença mínima signifi cativa para se avaliar a precisão experimental em ensaios de competição de híbridos de milho (CARGNELUTTI FILHO & STORCK, 2007e 2009. Usando os dados da produtividade dos ensaios de competição de cultivares de feijão e de soja, CARGNELUTTI concluíram que os limites de classe de precisão estabelecidos, a partir das medidas de acurácia seletiva, do coefi ciente de herdabilidade, do coefi ciente de determinação e do valor do teste F para cultivares são adequados.…”

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Precisão experimental de ensaios de trigo analisados pelo método de Papadakis

Storck

Silva

2014

Cienc. Rural

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O objetivo deste trabalho foi verificar se o uso da análise dos resultados dos ensaios de valor de cultivo e uso (VCU) de trigo pelo método de Papadakis modifica os pressupostos do modelo matemático e as medidas de precisão experimental. Para isso, foram usados os dados de produtividade de grãos de trigo de 48 ensaios de VCU, conduzidos sob delineamento de blocos ao acaso, entre 2008 e 2011. Para cada ensaio, sem e com o uso do método de Papadakis, foram realizados a verificação dos pressupostos, a análise de variância, os testes de hipóteses e calculadas as estatísticas para a identificação da precisão experimental. Esses pressupostos não foram violados para os dois métodos de análise (sem e com Papadakis). Com o uso do método de Papadakis (parcelas vizinhas), aumenta o índice de diferenciação de Fasoulas, 29,7 contra 15,5 sem o uso do método e a acurácia seletiva, 0,95 contra 0,90 sem o uso do método. Ensaios com três repetições, analisados com o método de Papadakis, possibilitam a identificação de cultivares de trigo com superioridade na produtividade de grãos com 90% de precisão. Para manter a precisão de 90% na análise sem o uso de Papadakis, seriam necessárias seis repetições.

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Estatísticas de avaliação da precisão experimental em ensaios de cultivares de milho

Cited by 62 publications

References 8 publications

Association of secondary traits with yield in maize F 1 's

Association of secondary traits with yield in maize F 1 's

Methods of analysis and number of replicates for trials with large numbers of soybean genotypes

Precisão experimental de ensaios de trigo analisados pelo método de Papadakis

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