Data/hora: 03/06/2024 02:42:03

Provedor de dados: | 2
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

Fonte:

Direitos autorais 2019 Acta Scientiarum. Animal Sciences

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