Coeficientes de variação de algumas características do meloeiro: uma proposta de classificação

Lima, Lonjoré Leocádio de; Nunes, Glauber Henrique de Sousa; Neto, Francisco Bezerra

doi:10.1590/s0102-05362004000100003

Cited by 23 publications

(21 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…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: 95%

Classification of coefficients of variation in experiments with commercial layers

Filho

Dias

Veloso

et al. 2010

Rev. Bras. Cienc. Avic.

View full text Add to dashboard Cite

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.

show abstract

Section: Resultsmentioning

confidence: 95%

Classification of coefficients of variation in experiments with commercial layers

Filho

Dias

Veloso

et al. 2010

Rev. Bras. Cienc. Avic.

View full text Add to dashboard Cite

show abstract

“…In a breeding program, CV ranking can be used, for example, to assess the experimental quality of intermediate and final trials of this crop, where one set of traits is measured to aid the breeder in the description and indication of new cultivars (Carvalho et al, 2003). The lower the CV, the greater the homogeneity, and, consequently, the lower the random variation (Lima et al, 2004). The CV estimates fluctuated between 2.74 and 74.79% for NDM and NP1G, respectively ( Table 1).…”

Section: (Equation 9)mentioning

confidence: 99%

Correlations between traits in soybean (Glycine max L.) naturally infected with Asian rust (Phakopsora pachyrhizi)

Rodrigues¹,

Serafim²,

Nogueira³

et al. 2015

Genet. Mol. Res.

View full text Add to dashboard Cite

ABSTRACT. Soybean (Glycine max L.)-breeding programs aim to develop cultivars with high grain yields and high tolerance to Asian soybean rust (Phakopsora pachyrhizi). Considering that the traits targeted for breeding are mainly quantitative in nature, knowledge of associations between traits allows the breeder to formulate indirect selection strategies. In this study, we investigated phenotypic, genotypic, and environmental correlations between the agronomic traits of soybean plants naturally infected with P. pachyrhizi, and identified agronomic traits that would be useful in indirectly selecting soybean genotypes for high yields. The study was conducted on the Capim Branco Farm, Uberlândia, Brazil, with 15 soybean genotypes, which were cultivated in a completely randomized block design with four replications. Fourteen phenotypic traits were evaluated using the GENES software. The phenotypic and genotypic correlations were positive and of a high magnitude between the total number of pods and the number of 17718-17729 (2015) pods with two or three grains, indicating that the total number of pods is a useful trait for the indirect selection of soybean genotypes for high grain yields. Strong environmental correlations were found between plant height at blooming and maturity and grain yield and yield components.

show abstract

“…Esse critério de classificação foi também utilizado em milho (Scapim et al, 1995), soja (Carvalho et al, 2003) e meloeiro (Lima et al, 2004). Quando os CV não satisfazem a pressuposição de distribuição normal, Costa et al (2002) sugeriram a utilização das estatísticas mediana e pseudo-sigma, em substituição à média e ao desvio padrão, respectivamente.…”

Section: Introductionunclassified

Avaliação do coeficiente de variação experimental para caracteres de frutos de pimenteiras

Silva

Cecon²,

Rêgo³

et al. 2011

Rev. Ceres

View full text Add to dashboard Cite

Evaluation of the experimental coefficient of variation of pepper traitsThe aim of this study was to formulate a classification for coefficients of variation of experiments with Capsicum to be used in six morphological fruit variables. We selected 38 trials with published results using data on morphological characterization of fruit and coefficients of variation (CV) of the following response variables: average fruit weight, fruit length, peduncle length, smallest and largest fruit diameter and pericarp thickness. The CV classification ranges were based on the methodology proposed by Garcia (1989), which considers the property of the normal distribution of CV. All variables met the assumption of normal distribution of CV by the Lilliefors test at 5% probability. The CV classification ranges obtained for these six variables were distinct from those of the general classification proposed by Gomes (2000). Moreover, it was found that ratings of the coefficients of variation of morphological variables of pepper belonging to the genus Capsicum depend on the response variable, and the largest CV classification ranges were for smaller fruit diameter, pericarp thickness and average fruit weight.

show abstract

Coeficientes de variação de algumas características do meloeiro: uma proposta de classificação

Cited by 23 publications

References 3 publications

Classification of coefficients of variation in experiments with commercial layers

Classification of coefficients of variation in experiments with commercial layers

Correlations between traits in soybean (Glycine max L.) naturally infected with Asian rust (Phakopsora pachyrhizi)

Avaliação do coeficiente de variação experimental para caracteres de frutos de pimenteiras

Contact Info

Product

Resources

About