Precisão experimental em ensaios com a cultura do feijão

Oliveira, Renato Lunezzo de; Muniz, Joel Augusto; Andrade, Messias José Bastos de; Reis, Ricardo Luis dos

doi:10.1590/s1413-70542009000100016

Cited by 42 publications

(43 citation statements)

References 12 publications

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“…In the classification of Gomes (2000), a CV of 10% is considered as low, whereas in the present study it is considered very high for feed intake, egg production, eggshell thickness, and specific gravity, and very high for the remaining parameters. This stresses the importance of establishing specific CV classifications, as currently proposed for crops (Clemente & Muniz, 2002;Costa et al, 2002;Carvalho et al, 2003;Lima et al, 2004;Oliveira et al, 2009) and animal production (Judice et al, 1999;Judice et al, 2002;Lana et al, 2006;Mohallem et al, 2008), allowing researchers to verify the accuracy of their own results and of those published in literature.…”

Section: Resultsmentioning

confidence: 94%

Classification of coefficients of variation in experiments with commercial layers

Filho

Dias

Veloso

et al. 2010

Rev. Bras. Cienc. Avic.

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This study aimed at determining a specific classification of coefficients of variation in experiments with commercial layers. Coefficients of variation were collected from papers published in Brazilian journals between 2000 and 2009 for performance, internal egg quality, and eggshell quality parameters. The coefficients of variation of each parameter were classified as low, intermediate, high, and very high according to the ratio between the median and the pseudo-sigma. It was concluded that the parameters used in experiments with commercial layers have a specific classification of coefficients of variation, and that this must be considered to evaluate experimental accuracy.

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Section: Resultsmentioning

confidence: 94%

Classification of coefficients of variation in experiments with commercial layers

Filho

Dias

Veloso

et al. 2010

Rev. Bras. Cienc. Avic.

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“…Likewise, Figure 2 does not show whether the increase in the proportion of coincidence of the 10% selected was due to a reduction in the CV or to an increase in repeatability. Oliveira et al (2009), evaluated the influence of CV on the experimental accuracy in common bean and concluded that CV is different among variables, since each variable has different genetic parameters, such as genetic variance and heritability, and consequently the experimental accuracy is different.…”

Section: Resultsmentioning

confidence: 99%

“…Oliveira et al (2009) studied the distribution of CV values of common bean crops and proposed ranges that guide researchers in the experiment evaluation. To this, the authors calculated the CV ranges for yield, number of pods per plant, number of grains per pod, 100-grain weight, final stand, plant height, and harvest index.…”

Section: Introductionmentioning

confidence: 99%

Repeatability reveals to be a useful method to evaluate the quality of an experiment with common beans

Gurgel¹,

Peixoto²,

Bhering³

et al. 2017

Biosci. J.

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Field experiment should be carried out with high accuracy since the discarding of a trial involves waste of time and resources, and can mislead breeders in selecting inferior genotypes. The simulation of a large number of experiments with great variability of traits is the main strategy to assist breeders on how to perform the experiment. Therefore, the objective of this study was to evaluate two criteria to infer the experimental quality: Coefficient of Variation (CV) and repeatability coefficient. Experimental data from evaluations of common bean lines carried out in 104 experiments were used in this study. The simulation of the scenarios used the following parameters: number of cultivars, number of blocks, genetic variance, mean yield, and coefficient of variation. Two thousand replications for each scenario were simulated. Genotypes means were arranged in an order, and the Spearman correlation was obtained between the estimated genotypes mean and the true genotypic values. Results revealed that CV is not a reliable parameter to evaluate the quality of experiment in the field. In conclusion, repeatability coefficient is the parameter that defines the discarding criteria of evaluation experiments and the recommendation of cultivars, as long as the values for each response variable are established.

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“…Os ensaios com CVe alto e muito alto são preocupantes. Assim, segundo os três critérios de classificação dos CVe da produtividade de grãos de feijão (OLIVEIRA et al, 2009), apenas os ensaios 4 e 6 tem CVe alto e muito alto.…”

Section: Resultsunclassified