Improving the precision of genotype selection in wheat performance trials

Benin, Giovani; Storck, Lindolfo; Marchioro, Volmir Sérgio; Franco, Francisco de Assis; Schuster, Ivan; Trevizan, Diego Maciel

doi:10.1590/s1984-70332013000400003

Cited by 10 publications

(10 citation statements)

References 21 publications

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“…Table 1. The great number of environments promotes the choice of genotypes more adapted (Benin et al 2013). Although cultivar CD 1550 was registered in early 2012, it was maintained in the VCU trials of 2012 and 2013.…”

Section: Introductionmentioning

confidence: 99%

CD 1550 - bread wheat cultivar with high gluten strength for the cooler regions of Brazil

Franco¹,

Marchioro²,

Schuster³

et al. 2015

Crop Breed. Appl. Biotechnol.

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Section: Introductionmentioning

confidence: 99%

CD 1550 - bread wheat cultivar with high gluten strength for the cooler regions of Brazil

Franco¹,

Marchioro²,

Schuster³

et al. 2015

Crop Breed. Appl. Biotechnol.

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“…Assim, o método de Papadakis, realizado com base na análise de covariância, em que a covariável é determinada como a média das estimativas dos erros nas parcelas vizinhas (variação espacial), mostrou-se eficiente para a comparação da produtividade de grãos de genótipos de trigo (Benin et al, 2013) e de soja (Storck et al, 2008). Estudos relacionados a métodos de análise espacial (Duarte & Vencovsky, 2005), para as culturas de chá (Peiris et al, 2008), feijoeiro (Souza et al, 2000), feijoeiro e milho (Costa et al, 2005) e laranjeira (Maia et al, 2013) foram realizados e, de maneira geral, relataram a melhoria da eficiência na seleção de genótipos.…”

Section: Introductionunclassified

[No Title Available]

Filho¹,

Storck

Toebe³

et al. 2014

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi determinar a precisão experimental na avaliação da massa de matéria verde de nabo forrageiro, em cenários formados por combinações de tamanhos de parcela e número de tratamentos e de repetições. Utilizaram-se os dados de massa de matéria verde de 3.456 unidades experimentais básicas de 0,5×0,5 m (0,25 m 2 ). Os cenários (1.728) foram planejados e formados pela combinação de seis tamanhos de parcela (0,25, 0,50, 1,00, 1,50, 2,00 e 2,25 m 2 ), i tratamentos (i = 5, 6,..., 20) e r repetições (r = 3, 4,..., 20). Em cada cenário, foram realizadas 2.000 reamostragens, com reposição. Calculou-se a média das 2.000 estimativas, em cada cenário, quanto à diferença mínima significativa pelo teste de Tukey, ao índice de variação e ao coeficiente de variação experimental. Essas estatísticas, nesta ordem, são adequadas para avaliar a precisão experimental. Parcelas com o tamanho de seis unidades experimentais básicas (1,50 m 2 ) são suficientes para identificar diferenças significativas na massa de matéria verde de nabo forrageiro entre tratamentos, menores ou iguais a 36,88% da média geral do experimento, pelo teste de Tukey, a 5% de probabilidade, em experimentos em delineamento inteiramente casualizado, com 5 a 20 tratamentos e cinco repetições.Termos para indexação: Raphanus sativus, coeficiente de variação, diferença mínima significativa, índice de variação, planejamento experimental, reamostragem. Experimental precision related to plot sizes, numbers of treatments and replicates in forage turnipAbstract -The objective of this work was to determine the experimental precision in the evaluation of forage turnip fresh matter weight, in scenarios formed by combinations of plot sizes and number of treatments and replicates. Data from fresh matter weight of 3,456 basic experimental units of 0.5×0.5 m (0.25 m 2 ) were used. The scenarios (1,728) were planned and formed by the combinations of six plot sizes (0.25, 0.50, 1.00, 1.50, 2.00, and 2.25 m 2 ), i treatments (i = 5, 6,..., 20), and r replicates (r = 3, 4,..., 20). For each scenario, 2,000 resamplings were carried out, with replacement. The average of these 2,000 estimates, in each scenario, was calculated for the least significant difference by Tukey's test, the variation index, and the experimental coefficient of variation. These statistics, in that order, are adequate to evaluate the experimental precision. Plots with the size of six basic experimental units (1.50 m 2 ) are sufficient to identify significant differences turnip fresh matter weight between treatments, less than or equal to 36.88% of the overall mean of the experiment, by Tukey's test, at 5% probability, in experiments in a completely randomized design with 5 to 20 treatments and five replicates.

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“…For these cases, most appropriate designs and analysis methods are reported, e.g., single and triple lattice designs (RAMALHO et al, 2000) and the Papadakis spatial analysis method. This was applied in various cases with a smaller number of soybean genotypes (VOLLMAN et al, 2000;STORCK et al, 2008;BENIN et al, 2013), showing significant accuracy gains when compared to the random complete block design. Appropriate measures to assess the experimental precision in bean and soybean genotypes competition assays were studied (CARGNELUTTI FILHO et al, 2009), and they can be used to identify the best planning and data analysis.…”

Section: Introductionmentioning

confidence: 99%

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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Improving the precision of genotype selection in wheat performance trials

Abstract: -The aim of this study was to verify whether using the Papadakis method improves model assumptions and experimental

Cited by 10 publications

References 21 publications

CD 1550 - bread wheat cultivar with high gluten strength for the cooler regions of Brazil

CD 1550 - bread wheat cultivar with high gluten strength for the cooler regions of Brazil

[No Title Available]

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

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