Avaluation nutritional of forage peanut (Arachis pintoi) genotypes by multivariate techniques

Authors

DOI:

https://doi.org/10.33448/rsd-v9i8.6039

Keywords:

Multivariate analysis; In Vitro; Bicompartmental logistics; Non-linear models.

Abstract

In order to evaluate if the period (rainy season) interferes in the nutritional value and select the best model that describes the accumulated gas values in ten genotypes of fodder peanuts (Arachis pintoi): 13251, 15121, 15598, 30333, 31135, 31496, 31534, 31828, cv. Itabela and cv. RIO in two seasons (dry season and rainy season). The experimental design used was that of random blocks, with ten treatments (genotypes) and three repetitions. It was evaluated: the production of dry matter kg ha-1; the contents of crude protein, fiber in neutral detergent, fiber in acid detergent, insoluble protein in acid detergent and accumulated production of gases adjusted to the models: Gompertz, Logístico, Brody, Von Bertalanffy and Logístico Bicompartimental. The fitting quality of the models was measured by means of the mean square of the residue (QMR), Akaike information criterion (AIC), Bayesian information criterion (BIC) and adjusted determination coefficient . The multivariate analysis used was the analysis of groupings with cofenetic correlation coefficient and the Rand index to check the quality of the fit and the quantity of groups. In the period of greater rainfall the genotypes 15121, 15598, 30333 and 31496 were considered those of better productivity and nutritional value. In the period of lower rainfall, genotypes 31828 and Itabela stood out as the best genotypes. The best adjusted model for both genotypes was the Logistic Bicomportamental model, for presenting lower AIC and BIC.

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Published

19/07/2020

How to Cite

GONDIM FILHO, A. G. C.; MOREIRA, G. R.; GOMES-SILVA, F.; CUNHA FILHO, M.; GOMES, D. A.; FERREIRA, A. L.; COSTA, M. L. L. da; FERREIRA, D. S. de A.; GONÇALVES, N. C.; GOMES, S. P.; PIMENTEL, P. G.; SANTOS, A. L. P. dos; AMARAL, L. S. Avaluation nutritional of forage peanut (Arachis pintoi) genotypes by multivariate techniques. Research, Society and Development, [S. l.], v. 9, n. 8, p. e758986039, 2020. DOI: 10.33448/rsd-v9i8.6039. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/6039. Acesso em: 13 nov. 2024.

Issue

Vol. 9 No. 8

Section

Agrarian and Biological Sciences

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Copyright (c) 2020 Antônio Guedes Correa Gondim Filho, Guilherme Rocha Moreira, Frank Gomes-Silva, Moacyr Cunha Filho, Diego Alves Gomes, Alexandre Lima Ferreira, Maria Lindomárcia Leonardo da Costa, Denise Stéphanie de Almeida Ferreira, Nélio Cunha Gonçalves, Silas Primola Gomes, Patrícia Guimarães Pimentel, André Luiz Pinto dos Santos, Lucas Silva Amaral

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