Dimensionamento amostral e associação linear entre caracteres de Crotalaria spectabilis

Toebe, Marcos; Bandeira, Cirineu Tolfo; Fortes, Sabrina Kítina Giordano; Carvalho, Juliana Oliveira de; Tartaglia, Francieli de Lima; Tambara, André Limana; Melo, Patrícia Jesus de

doi:10.1590/1678-4499.653

Cited by 5 publications

(11 citation statements)

References 12 publications

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“…Studies of sample size for crotalaria species have been already carried out for the estimation of the mean and coefficient of variation (Toebe et al, 2017(Toebe et al, , 2018), but we did not find in the literature, studies on sample size for the estimation of correlation coefficients in this genus. It is likely that the sample size varies between species of crotalaria, and between pairs of traits of certain species.…”

Section: Introductioncontrasting

confidence: 56%

Sample size for the estimation of Pearson’s linear correlation in crotalaria species

Toebe

Machado

Tartaglia

et al. 2019

Pesq. agropec. bras.

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The objective of this work was to determine the necessary sample size to estimate Pearson’s linear correlation coefficients of four species of crotalaria at precision levels. The experiment was carried out with Crotalaria juncea, Crotalaria spectabilis, Crotalaria breviflora, and Crotalaria ochroleuca, during the 2014/2015 crop year. Eight crotalaria traits were evaluated in 1,000 randomly collected pods per species. For each species, the correlation coefficients were estimated for the 28 pairs of traits, and the sample size necessary to estimate the correlation coefficients was determined at four precision levels [0.10, 0.20, 0.30, and 0.40 amplitudes of the 95% (CI95%) confidence interval] by resampling with replacement. The sample size varies between crotalaria species and, especially, between pairs of traits, as a function of the magnitude of the correlation coefficient. At a certain precision level, the smallest sample size is required to estimate the correlation coefficients between highly correlated traits and vice-versa. To estimate the correlation coefficients with CI95% of 0.20, 10 to 440 pods are required, depending on the species, pairs of traits, and magnitude of the correlation coefficient.

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Section: Introductioncontrasting

confidence: 56%

Sample size for the estimation of Pearson’s linear correlation in crotalaria species

Toebe

Machado

Tartaglia

et al. 2019

Pesq. agropec. bras.

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“…In this and in other species of crotalaria, variability in the sample size in function of character was observed, being that ACI 95% in a simulated sample size was lower for the character length of pod (Figure 1a shorter variability) in relation to ACI 95% of the mass of seeds per pod (Figure 1b -greater variability). Variability in sample size between characters or pairs of characters has been frequently reported in the literature, as it can be verified in sugar cane (Leite et al 2009), maize (Cargnelutti Filho et al 2010, Toebe et al 2014, 2017b, jack bean and velvet bean (Cargnelutti Filho et al 2012), C. juncea (Teodoro et al 2015) and in C. spectabilis (Teodoro et al 2015, Toebe et al 2017a.…”

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confidence: 89%

Sample size for estimating mean and coefficient of variation in species of crotalarias

Toebe

Machado

Tartaglia

et al. 2018

An. Acad. Bras. Ciênc.

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The objective of this study was to determine the sample size necessary to estimate the mean and coefficient of variation in four species of crotalarias (C. juncea, C. spectabilis, C. breviflora and C. ochroleuca). An experiment was carried out for each species during the season 2014/15. At harvest, 1,000 pods of each species were randomly collected. In each pod were measured: mass of pod with and without seeds, length, width and height of pods, number and mass of seeds per pod, and mass of hundred seeds. Measures of central tendency, variability and distribution were calculated, and the normality was verified. The sample size necessary to estimate the mean and coefficient of variation with amplitudes of the confidence interval of 95% (ACI95%) of 2%, 4%, ..., 20% was determined by resampling with replacement. The sample size varies among species and characters, being necessary a larger sample size to estimate the mean in relation of the necessary for the coefficient of variation.

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“…Thus, there is sample size variability between the productive traits and between the sowing dates. Furthermore, sample size variability in sunn hemp has been found in studies of productive traits of Crotalaria juncea (Teodoro et al, 2015), morphological and productive traits of Crotalaria spectabilis (Toebe et al, 2017), and morphological traits of Crotalaria juncea (Schabarum et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

“…Regarding sunn hemp, sample sizes have been studied for productive traits of Crotalaria juncea (Teodoro et al, 2015), morphological and productive traits of Crotalaria spectabilis (Toebe et al, 2017) and for morphological traits of Crotalaria juncea (Schabarum et al, 2018). The information provided in these studies serve as a reference for the proper sample planning of future experiments with these crops, aiming to improve the precision of the experiments.…”

Section: Introductionmentioning

confidence: 99%

Sample Sufficiency for Mean Estimation of Productive Traits of Sunn Hemp

Schabarum¹,

Filho²,

de³

et al. 2018

JAS

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Sunn hemp (Crotalaria juncea L.) is an annual cycle legume with high potential for biological nitrogen fixation, being widely used in crop rotation for biomass formation and control of nematodes. The objectives of this study were to determine the sample size for the mean estimation of productive traits of sunn hemp and verify the sample size variability between traits and sowing dates. Two uniformity trials were performed in the agricultural year 2014/2015, with sowing in October (trial 1) and December (trial 2). At the crop flowering stage, 300 plants of each trial were harvested and fresh and dry matter of leaves, stem, root, aerial part, and total weight were evaluated. The normality and randomness tests were performed for each trait and the sample size was calculated for the semi-amplitudes of the confidence interval (estimation errors) of 2, 4, 6, 8, 10, 12, 14, 16, 18 and 20% of the mean estimate. There is sample size variability between productive traits and between sowing dates. The assessment of at least 101 plants is required for mean estimation of productive traits with maximum estimation error of 20% of the mean and 95% confidence level.

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Dimensionamento amostral e associação linear entre caracteres de Crotalaria spectabilis

Cited by 5 publications

References 12 publications

Sample size for the estimation of Pearson’s linear correlation in crotalaria species

Sample size for the estimation of Pearson’s linear correlation in crotalaria species

Sample size for estimating mean and coefficient of variation in species of crotalarias

Sample Sufficiency for Mean Estimation of Productive Traits of Sunn Hemp

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