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Univariate and multivariate nonlinear models in productive traits of the sunn hemp Rev. Ciênc. Agron.
Bem,Cláudia Marques de; Cargnelutti Filho,Alberto; Carini,Fernanda; Pezzini,Rafael Vieira.
ABSTRACT Multivariate analysis helps to understand the relationships between dependent variables; this methodology has great potential in several areas of knowledge. The aim of this study was to adjust and compare the univariate and multivariate Gompertz and Logistic nonlinear models to describe the productive traits of sunn hemp (Crotalaria juncea L.). Two uniformity trials were performed, and the following productive traits were analyzed in 376 sunn hemp plants along 94 days of observations (four plants per day): the fresh mass of leaves (FML), the fresh mass of stem (FMS), and the fresh mass of the aerial parts (FMAP). The Gompertz and Logistic univariate models were adjusted for each productive trait. To adjust the multivariate models, the errors...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Crotalaria juncea L.; Multivariate analysis; Fresh mass; Growth modeling.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000100418
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