publication . Master thesis . 2014

Técnica de agrupamento na seleção de modelos de regressão não lineares para descrição do acúmulo de matéria seca em plantas de alho

Puiatti, Guilherme Alves;
Open Access Portuguese
  • Published: 19 Feb 2014
  • Publisher: Universidade Federal de Viçosa
Abstract
Made available in DSpace on 2015-03-26T13:32:21Z (GMT). No. of bitstreams: 1 texto completo.pdf: 413082 bytes, checksum: dce64ad6522bcef86a27726ef7bb664c (MD5) Previous issue date: 2014-02-19 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Studies of genetic divergence between individuals or populations of plants and its growth path are of great importance in improvement programs, being essential for an appropriate handling through relevant information. Cluster analysis and regression models are techniques largely employed for such. The objective of this study was to identify and to group nonlinear regression models that best describe the dry matter ...
Subjects
free text keywords: Análise de agrupamento, Alho, Análise de regressão, Allium sativum, Cluster analysis, Garlic, Regression analysis, :CIENCIAS AGRARIAS [CNPQ]
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