Classification of the coefficients of variation for sugarcane crops

Couto, Maurício Farias; Peternelli, Luiz Alexandre; Barbosa, Márcio Henrique Pereira

doi:10.1590/s0103-84782013000600003

Cited by 50 publications

(43 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the area of agriculture experimentation, CV values of the experiments vary according to the nature of the trial, to the evaluated crops, and especially, to the character under study (Cruz et al, 2012, Fritsche Neto et al, 2012, Couto et al, 2013, being necessary to establish specific classifications for the reality inherent to each crop. Despite all the concern with the quality of studies, researchers on Agricultural Sciences have compared the results of CV of their experiments with those suggested by Pimentel-Gomes (2009), who classifies the coefficients of variation as follows: low when less than 10%; average, between 10 and 20%; high, when they are between 20 and 30%; and very high, when higher than 30%.…”

Section: Introductionmentioning

confidence: 99%

“…To set limits on the distribution of CV values, Garcia (1989), when working with 146 projects that encompassed species of the genus Pinus and Eucalyptus, proposed to use the relationship between the mean and standard deviation of the CV values of several experiments, involving characters of the diameter at breast height (DBH), total height, cylindrical volume, survival and percentage of failures. This method has been used to determine CV ranges in corn (Scapim et al, 1995;Fritsche et al, 2012), citrus (Amaral et al, 1997), swine ( Judice et al, 1999), legume forage (Clemente & Muniz, 2000), rice (Costa et al, 2002), cattle (Judice et al, 2002), forage grasses (Clemente & Muniz, 2002), mate herb (Storck et al, 2002) banana trees (Ledo et al, 2003), soybean (Carvalho et al, 2003), melon (Lima et al, 2004), beans (Oliveira et al, 2009), popcorn (Arnhold & Milani, 2011), pepper (Silva et al, 2011), sugar cane (Couto et al, 2013). Despite being widely used, the method of Garcia (1989) requires the data to have normal distribution, which does not always occur, making it impossible to study the CV in data distributions different from the normal.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of methods for classification of the coefficient of variation in papaya

Ferreira

Schmildt

et al. 2016

Rev. Ceres

View full text Add to dashboard Cite

RESUMO Comparison of methods for classification of the coefficient of variation in papaya 1The objective of this work was to study the distribution of values of the coefficient of variation (CV) in the experiments of papaya crop (Carica papaya L.) by proposing ranges to guide researchers in their evaluation for different characters in the field. The data used in this study were obtained by bibliographical review in Brazilian journals, dissertations and thesis. This study considered the following characters: diameter of the stalk, insertion height of the first fruit, plant height, number of fruits per plant, fruit biomass, fruit length, equatorial diameter of the fruit, pulp thickness, fruit firmness, soluble solids and internal cavity diameter, from which, value ranges were obtained for the CV values for each character, based on the methodology proposed by Garcia, Costa and by the standard classification of Pimentel-Gomes. The results obtained in this study indicated that ranges of CV values were different among various characters, presenting a large variation, which justifies the necessity of using specific evaluation range for each character. In addition, the use of classification ranges obtained from methodology of Costa is recommended.Objetivou-se com esta pesquisa avaliar a distribuição dos valores de coeficiente de variação (CV) de experimentos com a cultura do mamoeiro (Carica papaya L.), propondo faixas que orientem os pesquisadores na avaliação de seus estudos para diferentes caracteres a campo. Os dados utilizados foram obtidos por revisão bibliográfica em periódicos, dissertações e teses nacionais. Foram considerados os caracteres diâmetro do caule, altura de inserção do primeiro fruto, altura da planta, número de frutos por planta, biomassa de frutos, comprimento de fruto, diâmetro equatorial de fruto, espessura de polpa, firmeza de fruto, sólidos solúveis e diâmetro da cavidade interna, dos quais foram obtidas faixas de valores de CV para cada caractere com base nas metodologias propostas por Garcia, por Costa, e na classificação padrão de Pimentel-Gomes. Os resultados obtidos indicaram que faixas de valores de CV diferiram entre as diversos caracteres apresentando ampla variação, justificando a necessidade de utilizar faixa de avaliação específica para cada caractere e, que se recomenda o uso das faixas de classificação obtidas a partir da metodologia de Costa. Palavras-chaves:Carica papaya L., experimentação, precisão experimental.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparison of methods for classification of the coefficient of variation in papaya

Ferreira

Schmildt

et al. 2016

Rev. Ceres

View full text Add to dashboard Cite

show abstract

“…According to Arnhold and Milani (2011), given that the variables can be more or less influenced by several factors, it is necessary a classification of the CV values per trait. In this sense, several studies have been performed to investigate the rank-ordering classification of CVs in maize (Scapim et al 1995;Arnhold and Milani 2011;Fritsche Neto et al 2012), soybean (Carvalho et al 2003), cotton (Santos et al 1998), rice (Costa et al 2002), bean (Oliveira et al 2009) and sugarcane (Couto et al 2013). In these reports, the distribution of the CV values was classified as low, moderate, high and very high.…”

Section: Introductionmentioning

confidence: 99%

A classification proposal for coefficients of variation in Eucalyptus experiments involving survival, growth and wood quality variables

Mora

Arriagada

2016

Bragantia

View full text Add to dashboard Cite

ABSTRACT:The objective of this study was to present a classification proposal for coefficients of variation (CV) in Eucalyptus experiments, aiming at providing a useful tool for experiments involving growth, survival and wood quality traits. Ninety-four studies were selected from a search for peer-reviewed journals yielding a total of 508 data.The CVs were classified as low, moderate, high and very high. The mean, standard deviation, maximum and minimum values, skewness and kurtosis were estimated to describe the distribution shape. In summary, the classification proposed in this report provides a useful tool for researchers interested in estimating the accuracy of their experiments.

show abstract

“…CV values from 10% to 20% are considered moderate, implying good precision, while those from 20% to 30% are considered high, indicating low precision. Finally, CV values above 30% are considered very high, indicating very low precision 15,16. Listed in order of stability, HPRT1 is a stably expressed gene in the spleen, kidney, cerebrum, cerebellum, ventricle, and femoral muscle; PPIA is stably expressed in the cerebellum, kidney, spleen, cerebrum, and ventricle; YWHAZ , is stably expressed in the cerebellum, kidney, and cerebrum; and GAPDH is stably expressed in the cerebrum, kidney, ventricle, and psoas muscle.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Protein Expression in Housekeeping Genes across Multiple Tissues in Rats

Kim

Min

et al. 2014

Korean J Pathol

View full text Add to dashboard Cite

BackgroundHousekeeping genes, which show constant protein expression patterns between different tissue types, are very important in molecular biological studies as an internal control for protein research.MethodsThe protein expression profiles of seven housekeeping genes (HPRT1, PPIA, GYS1, TBP, YWHAZ, GAPDH and ACTB) in various rat tissues (cerebrum, cerebellum, cardiac ventricle and atrium, psoas muscle, femoral muscle, liver, spleen, kidney, and aorta) were analyzed by Western blot and compared by coefficient of variation (CV).ResultsHPRT1 was stably expressed (CV≤10%) in six tissues (cerebrum, cerebellum, ventricle, femoral muscle, spleen, and kidney), PPIA was stably expressed in five tissues (cerebrum, cerebellum, ventricle, spleen and kidney), YWHAZ was stably expressed in three tissues (cerebrum, cerebellum, and kidney), and GAPDH was stably expressed in four tissues (cerebrum, ventricle, psoas muscle, and kidney). In comparison, GYS1, TBP, and ACTB were found to have CV values over 10% in all tissues. Of the seven genes examined, four (HPRT1, PPIA, YWHAZ, and GAPDH) were found to be stably expressed across multiple organs, with low CV values (≤10%).ConclusionsThese results will provide fundamental information regarding internal controls for protein expression studies and can be used for analysis of postmortem protein degradation patterns in forensic medicine.

show abstract

Classification of the coefficients of variation for sugarcane crops

Abstract: ABSTRACT

Cited by 50 publications

References 5 publications

Comparison of methods for classification of the coefficient of variation in papaya

Comparison of methods for classification of the coefficient of variation in papaya

A classification proposal for coefficients of variation in Eucalyptus experiments involving survival, growth and wood quality variables

Evaluation of Protein Expression in Housekeeping Genes across Multiple Tissues in Rats

Contact Info

Product

Resources

About