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Provedor de dados:  Animal Sciences
País:  Brazil
Título:  Leaf area estimate of Pennisetum glaucum by linear dimensions
Autores:  Leite, Mauricio Luiz de Mello Vieira
Lucena, Leandro Ricardo Rodrigues de
Cruz, Manoela Gomes da
Sá Júnior, Eduardo Henrique de
Simões, Vicente José Laamon Pinto
Data:  2019-02-13
Ano:  2019
Palavras-chave:  Leaf blade
Millet
Modeling
Non-destructive method.
Resumo:  Leaf area measurements are of the main parameters used in agronomic studies to evaluate plant growth. The current study used a non-destructive method based on linear leaf dimensions (length and width) to select the regression model to estimate millet (Pennisetum glaucum) leaf area. For two millet genotype (IPA BULK 1 BF and ADR 300) 128 randomly-chosen leaves were measured at different vegetative growth stages. Measures of length and width of each leaf were made using digital calipers. Leaf area was measured using a gravimetric method. The best-fit leaf area estimation model was selected via linear, potential and gamma regression models. Leaf area values varied from 3.02 to 209.21 cm2. The average value was 95.31 cm2. The potential regression model exhibited lower residual sum of squares and Akaike's information criterion and similar determination coefficient and Willmott index. Thus, potential regression was more efficient in explaining the leaf area of millet, independent of the genotype, when compared to other models evaluated in this research. Length (L) and width (W) could be used in the following potential regression model  to estimate millet leaf blade.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/42808

10.4025/actascianimsci.v41i1.42808
Editor:  Editora da Universidade Estadual de Maringá
Relação:  http://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/42808/pdf
http://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/downloadSuppFile/42808/18459
http://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/downloadSuppFile/42808/18460
Formato:  application/pdf
Fonte:  Acta Scientiarum. Animal Sciences; v. 41 (2019): Publicação Contínua; e42808

Acta Scientiarum. Animal Sciences; v. 41 (2019): Publicação Contínua; e42808

1807-8672

1806-2636
Direitos:  Direitos autorais 2019 Acta Scientiarum. Animal Sciences

http://creativecommons.org/licenses/by/4.0
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