Data/hora: 08/06/2024 16:33:21

Provedor de dados: | 65
País: | Brazil
Título: | Calibration and validation of the AquaCrop model for the soybean crop grown under different levels of irrigation in the Motopiba region, Brazil
Autores: | Silva,Vicente de Paulo Rodrigues da; Silva,Roberta Araújo e; Maciel,Girlene Figueiredo; Braga,Célia Campos; Silva Júnior,José Luiz Cabral da; Souza,Enio Pereira de; Almeida,Rafaela Silveira Rodrigues; Silva,Madson Tavares; Holanda,Romildo Morant de.
Data: | 2018-01-01
Ano: | 2018
Palavras-chave: | Biomass production; Evapotranspiration leaf area index; Deficit irrigation yield.
Resumo: | ABSTRACT: The water-driven AquaCrop model to simulate yield response has been calibrated and validated for soybean cultivated under different water levels irrigation in Matopiba region, Brazil. The crop was submitted to seven irrigation treatments during the dry season and a dry treatment in the rainy season. The model was parameterized and calibrated by using soybean yield data collected at field level. Model performance was evaluated by using the following statistical parameters: prediction error (Pe), Nash-Sutcliffe efficiency index (E), coefficient of determination (R2), mean absolute error (MAE), root mean square error normalized (RMSEN) and Willmott’s index (d). The statistical analyses of the AquaCrop model calibrated for the Matopiba region disclosed error acceptable for yield prediction of soybean grown under tropical climate conditions. Results also indicated that the C2 soybean cultivar is more resistant to water stress than the C1 soybean grown in the Matopiba region, Brazil. In the treatments when the crop was well supplied with water, at least in one phase, the yield was greater than those with drought stress at last in one phase.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000100351
Editor: | Universidade Federal de Santa Maria
Relação: | 10.1590/0103-8478cr20161118
Formato: | text/html
Fonte: | Ciência Rural  v.48 n.1 2018
Fonte: | info:eu-repo/semantics/openAccess