SAMPLE SIZE AND LINEAR RELATIONS IN SLENDER LEAF RATTLEBOX

Visualizações: 308

Authors

DOI:

https://doi.org/10.32404/rean.v9i2.6834

Keywords:

Crotalaria ochroleuca, sample sizing, Experimental precision, Correlation, Path analysis

Abstract

Objectives of this work were to determine the sample size (number of plants) to estimate the mean of slender leaf rattlebox (Crotalaria ochroleuca) traits and investigate the relations among traits. In an experimental area of 8 m × 20 m (160 m2), at 147 days after sowing, 110 plants were randomly selected. The following traits were evaluated for each plant: plant height, stem diameter, number of nodes, number of leaves, leaf fresh matter, stem fresh matter, shoot fresh matter, leaf dry matter, stem dry matter and shoot dry matter. Measures of central tendency, variability, skewness and kurtosis were calculated. Normality was verified using the Kolmogorov-Smirnov test and the sample size was calculated to estimate the mean of the traits, assuming estimation errors (semi-amplitudes of the 95% confidence interval) equal to 1%, 2%, …, 30% of the mean. The relations among traits were investigated by scatter plots, correlation and path analysis. To estimate the mean of these ten traits, with a maximum error of 10% of the mean and 95% confidence level, 67 plants are needed. In an experiment, to estimate the mean of each treatment with 10% precision, 67 plants per treatment must be evaluated. The number of leaves has a positive linear relation with leaf fresh and dry matter. Number of leaves and stem diameter have a positive linear relation with stem and shoot fresh and dry matter.

Author Biographies

Daniela Lixinski Silveira, Universidade Federal de Santa Maria

Discente do Curso de Doutorado no Programa de Pós-Graduação em Agronomia

Valéria Escaio Bubans, Universidade Federal de Santa Maria

Discente do Curso de Mestrado no Programa de Pós-Graduação em Agronomia

Bruno Fillipin Osmari, Universidade Federal de Santa Maria

Discente do Curso de Agronomia

Felipe Manfio Somavilla, Universidade Federal de Santa Maria

Discente do Curso de Agronomia

Vithória Morena Ortiz, Universidade Federal de Santa Maria

Discente do Curso de Agronomia

Lucas Fillipin Osmari, Universidade Federal de Santa Maria

Discente do Curso de Agronomia

References

(I) Alvares, C.A., Stape, J.L., Sentelhas, P.C., Gonçalves, J.L.M., Sparovek, G. 2013. Köppen’s climate classification map for Brazil. Meteorologische Zeitschrift, 22(6), 711-728. DOI: https://dx.doi.org/10.1127/0941-2948/2013/0507

(II) Burin, C., Cargnelutti Filho, A., Toebe, M., Alves, B.M., Fick, A.L. 2014. Dimensionamento amostral para a estimação da média e da mediana de caracteres de tremoço branco (Lupinus albus L.). Comunicata Scientiae, 5(2), 205-212. https://comunicatascientiae.com.br/comunicata/article/view/317 (acessado 04 de janeiro de 2022).

(III) Bussab, W.O., Morettin, P.A. 2017. Estatística Básica. São Paulo: Saraiva.

(IV) Cargnelutti Filho, A., Alves, B.M., Toebe, M., Burin, C., Wartha, C.A. 2018a. Sample size to estimate the mean of traits in jack bean. Revista Brasileira de Ciências Agrárias, 13(1), e5505. DOI: http://dx.doi.org/10.5039/agraria.v13i1a5505

(V) Cargnelutti Filho, A., Facco, G., Santos, G.O., Alves, B.M., Burin, C., Kleinpaul, J.A. 2017. Linear relations among pigeon pea traits. Comunicata Scientiae, 8(3), 493-502. DOI: http://dx.doi.org/10.14295/CS.v8i3.1420

(VI) Cargnelutti Filho, A., Toebe, M., Alves, B.M., Burin, C., Wartha, C.A. 2018b. Linear relations among traits in jack bean (Canavalia ensiformis). Bioagro, 30(2), 157-162. https://revistas.uclave.org/index.php/bioagro/article/view/1291 (acessado 04 de janeiro de 2022).

(VII) Cargnelutti Filho, A., Toebe, M., Burin, C., Alves, B.M., Facco, G., Casarotto, G. 2014. Relações lineares entre caracteres de nabo forrageiro e de tremoço branco. Ciência Rural, 44(1), 18-24. DOI: https://doi.org/10.1590/S0103-84782014000100004

(VIII) Cruz C.D., Carneiro P.C.S., Regazzi A.J. 2014. Modelos biométricos aplicados ao melhoramento genético: volume 2. 3ª ed. Viçosa: UFV.

(IX) Cruz C.D., Regazzi A.J., Carneiro P.C.S. 2012. Modelos biométricos aplicados ao melhoramento genético: volume 1. 4ª ed. Viçosa: UFV.

(X) Cruz, C.D. 2016. Genes Software - extended and integrated with the R, Matlab and Selegen. Acta Scientiarum Agronomy, v.38(4), 547-552. DOI: https://doi.org/10.4025/actasciagron.v38i4.32629

(XI) Facco, G., Cargnelutti Filho, A., Alves, B.M., Burin, C., Santos, G.O., Kleinpaul, J.A., Neu, I.M.M. 2016. Sample size for estimating average productive traits of pigeon pea. Ciência Rural, 46(4), 619-625. DOI: http://dx.doi.org/10.1590/0103-8478cr20150852

(XII) Facco, G., Cargnelutti Filho, A., Lúcio, A.D., Santos, G.O., Stefanello, R.B., Alves, B.M., Burin, C., Neu, I.M.M., Kleinpaul, J.A. 2015. Sample size for morphological traits of pigeonpea. Semina: Ciências Agrárias, 36(6), 4151-4164. DOI: http://dx.doi.org/10.5433/1679-0359.2015v36n6Supl2p4151

(XIII) Ferreira D.F. 2009. Estatística básica, 2ª ed., Lavras: UFLA.

(XIV) Montgomery D.C., Peck E.A. 1982. Introduction to linear regression analysis. New York: John Wiley & Sons.

(XV) Santos, H.G.; Jacomine, P.K.T.; Anjos, L.H.C.; Oliveira, V.A.; Lumbreras, J.F.; Coelho, M.R.; Almeida, J.A.; Araújo Filho, J.C.; Oliveira, J.B.; Cunha, T.J.F. 2018. Sistema Brasileiro de Classificação de Solos, 5ª ed., Brasília: Embrapa. https://www.embrapa.br/solos/sibcs (acessado 04 de janeiro de 2022).

(XVI) Schabarum, D.E., Cargnelutti Filho, A., Bem, C.M., Facco, G., Kleinpaul, J.A., Wartha, C.A. 2018a. Sample sufficiency for mean estimation of productive traits of sunn hemp. Journal of Agricultural Science; 10(9), 209-216. DOI: https://doi.org/10.5539/jas.v10n9p209

(XVII) Schabarum, D.E., Cargnelutti Filho, A., Lavezo, A., Follmann, D.N., Kleinpaul, J.A., Chaves, G.G., Pezzini, R.V. 2018b. Sample size for morphological traits of sunn hemp. Journal of Agricultural Science; 10(1), 152-161. DOI: https://doi.org/10.5539/jas.v10n1p152

(XVIII) Storck, L., Garcia, D.C. Lopes, S.J. Estefanel, V. 2016. Experimentação vegetal, 3ª ed., Santa Maria: UFSM.

(XIX) Teodoro, P.E., Silva Junior, C.A., Ribeiro, L.P., Silva, F.A., Corrêa, C.C.G., Zanuncio, A.S., Torres, F.E. 2015. Sample dimension for estimation of biomass and yield of sunn (Crotalaria juncea L.) and showy rattlebox (C. spectabilis Roth.). Journal of Agronomy, 14(2), 98-101. DOI: http://dx.doi.org/10.3923/ja.2015.98.101

(XX) Toebe, M., Bandeira, C.T., Fortes, S.K.G., Carvalho, J.O., Tartaglia, F.L., Tambara, A.L., Melo, P.J. 2017. Dimensionamento amostral e associação linear entre caracteres de Crotalaria spectabilis. Bragantia, 76(1), 45-53. DOI: http://dx.doi.org/10.1590/1678-4499.653

(XXI) Toebe, M., Machado, L.N., Tartaglia, F.L., Carvalho, J.O., Bandeira, C.T., Cargnelutti Filho, A. 2018. Sample size for estimating mean and coefficient of variation in species of crotalarias. Anais da Academia Brasileira de Ciências, 90(2), 1705-1715. DOI: http://dx.doi.org/10.1590/0001-3765201820

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Published

2022-06-02

How to Cite

Cargnelutti Filho, A., Silveira, D. L., Bubans, V. E., Osmari, B. F., Somavilla, F. M., Ortiz, V. M., & Osmari, L. F. (2022). SAMPLE SIZE AND LINEAR RELATIONS IN SLENDER LEAF RATTLEBOX. REVISTA DE AGRICULTURA NEOTROPICAL, 9(2), e6834. https://doi.org/10.32404/rean.v9i2.6834

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