Título:	Calibration and evaluation of new irrigated rice cultivars in the SimulArroz model.
Autoria:	POERSCH, A. H. STRECK, N. A. HEINEMANN, A. B. STEINMETZ, S. ZANON, A. J. SILVA, M. R. da ROSSATO, I. G.
Afiliação:	ANDERSON H. POERSCH, UNIVERSIDADE FEDERAL DE SANTA MARIA; NEREU A. STRECK, UNIVERSIDADE FEDERAL DE SANTA MARIA; ALEXANDRE BRYAN HEINEMANN, CNPAF; SILVIO STEINMETZ, CPACT; ALENCAR J. ZANON, UNIVERSIDADE FEDERAL DE SANTA MARIA; MICHEL R. DA SILVA, CROPS TEAM, Santa Maria-RS; IORAN G. ROSSATO, UNIVERSIDADE FEDERAL DE SANTA MARIA.
Ano de publicação:	2024
Referência:	Revista Brasileira de Engenharia Agrícola e Ambiental, v. 28, n. 5, e272761, maio 2024.
Conteúdo:	Given genetical coefficients need to be calibrated for the most important cultivars on the market, new cultivars must be added to models such as SimulArroz. Thus, the aim of this study was to calibrate and evaluate the SimulArroz model for two new irrigated rice cultivars. The experiments were conducted in the municipality of Goianira in Goiás state during four growing seasons (2014/15, 2015/16, 2016/17, 2017/18) and in Rio Grande do Sul state in the municipalities of Alegrete (2015/16), Cachoeirinha (2015/ 16), Capão do Leão (2016/17, 2017/18), Santa Vitória do Palmar (2017/18) and Uruguaiana (2014/15, 2015/16). A randomized block design was used, with four replicates in Rio Grande do Sul and sowing plots in Goianira. The BRS Catiana and BRS Pampa cultivars were used and the Haun stage (HS), phenology, shoot dry matter biomass and yield were evaluated. The root mean square error (RMSE) for above-ground dry matter ranged from 51.7 to 577 g m -2, and for yield, the normalized root mean square error (NRMSE) ranged from 24 to 32% and 22 to 35% for the potential and high technological levels, respectively. The SimulArroz model was able to satisfactorily predict the growth, development, and yield of the BRS Catiana and BRS Pampa cultivars, increasing their area of application, including the tropical region of Brazil.
Thesagro:	Oryza Sativa Fenologia Modelo de Simulação Variedade Arroz Irrigado
NAL Thesaurus:	Rice Cultivars Phenology Simulation models Calibration
Palavras-chave:	Coeficientes genéticos Calibração SimulArroz
ISSN:	1807-1929
Digital Object Identifier:	https://doi.org/10.1590/1807-1929/agriambi.v28n5e272761
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CNPAF)