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

Authors

  • Marcos Toebe Universidade Federal de Santa Maria, Departamento de Ciências Agronômicas e Ambientais, Linha 7 de Setembro, s/no, BR-386, Km 40, CEP 98400-000 Frederico Westphalen, RS, Brazil.
  • Letícia Nunes Machado Universidade Federal do Pampa, Rua Luiz Joaquim de Sá Britto, s/no, Promorar, CEP 97650-000 Itaqui, RS, Brazil.
  • Francieli de Lima Tartaglia Universidade Federal de Santa Maria, Departamento de Fitotecnia, Avenida Roraima, no 1.000, Camobi, CEP 97105-900 Santa Maria, RS, Brazil.
  • Juliana Oliveira de Carvalho Universidade Federal do Rio Grande do Sul, Departamento de Biociências, Avenida Bento Gonçalves, no 9.500, CEP 91501-970 Porto Alegre, RS, Brazil.
  • Cirineu Tolfo Bandeira Universidade Federal de Santa Maria, Departamento de Fitotecnia, Avenida Roraima, no 1.000, Camobi, CEP 97105-900 Santa Maria, RS, Brazil.
  • Alberto Cargnelutti Filho Universidade Federal de Santa Maria, Departamento de Fitotecnia, Avenida Roraima, no 1.000, Camobi, CEP 97105-900 Santa Maria, RS, Brazil.

DOI:

https://doi.org/10.1590/S1678-3921.pab2019.v54.26602

Keywords:

Crotalaria, linear relationships, resampling, sample precision

Abstract

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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Published

2019-10-14

How to Cite

Toebe, M., Machado, L. N., Tartaglia, F. de L., de Carvalho, J. O., Bandeira, C. T., & Cargnelutti Filho, A. (2019). Sample size for the estimation of Pearson’s linear correlation in crotalaria species. Pesquisa Agropecuaria Brasileira, 54(X), e01027. https://doi.org/10.1590/S1678-3921.pab2019.v54.26602