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| Macedo,Leandro Roberto de; Cecon,Paulo Roberto; Silva,Fabyano Fonseca e; Nascimento,Moysés; Puiatti,Guilherme Alves; Oliveira,Ana Carolina Ribeiro de; Puiatti,Mario. |
| Abstract: The objective of this work was to identify nonlinear regression models that best describe dry matter accumulation curves over time, in garlic (Allium sativum) accessions, using Bayesian and frequentist approaches. Multivariate cluster analyses were made to group similar accessions according to the estimates of the parameters with biological interpretation (β1 and β3). In order to verify if the obtained groups were equal, statistical tests were applied to assess the parameter equality of the representative curves of each group. Thirty garlic accessions were used, which are kept by the vegetable germplasm bank of Universidade Federal de Viçosa, Brazil. The logistic model was the one that fit best to data in both approaches. Parameter estimates of... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Allium sativum; Cluster analysis; Multivariate clustering curves; Nonlinear models. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017000800572 |
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