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Provedor de dados:  PAB
País:  Brazil
Título:  An update of new flood-irrigated rice cultivars in the SimulArroz model
Autores:  Ribas,Giovana Ghisleni
Streck,Nereu Augusto
Duarte Junior,Ary José
Ribeiro,Bruna San Martin Rolin
Pilecco,Isabela Bulegon
Rossato,Ioran Guedes
Richter,Gean Leonardo
Bexaira,Kelin Pribs
Pereira,Vladison Fogliato
Zanon,Alencar Junior
Data:  2020-01-01
Ano:  2020
Palavras-chave:  Oryza sativa
Mathematical model
Yield
Resumo:  Abstract: The objective of this work was to model, in the SimulArroz model, the three flood-irrigated rice (Oryza sativa) cultivars currently most grown in the state of Rio Grande do Sul, Brazil. The experiments to calibrate and validate the model were conducted in the municipalities of Cachoeirinha, Santa Maria, Uruguaiana, Santa Vitória do Palmar, and Cachoeira do Sul during four crop seasons. The number of leaves, phenology, aboveground dry matter biomass, and yield of each cultivar were evaluated. The results showed a slight overestimate of the R1, R4, and R9 stages; however, overall, the SimulArroz model had a good performance in simulating rice phenology for the three studied genotypes. Furthermore, the model had a reasonable accuracy in simulating aboveground dry matter and yield. The root-mean-square error (RMSE) for aboveground dry matter (leaves, stems, panicles, and grains) ranged from 0.5 to 3.0 Mg ha-1. For yield, the RMSE ranged from 0.8 to 1.3 Mg ha-1. The calibration of the SimulArroz model is efficient in simulating the growth, development, and grain yield of the most important flood-irrigated rice cultivars in Southern Brazil and can be used to estimate harvest forecast and yield potential, as well for yield gap studies.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2020000101001
Editor:  Embrapa Secretaria de Pesquisa e Desenvolvimento

Pesquisa Agropecuária Brasileira
Relação:  10.1590/s1678-3921.pab2020.v55.00865
Formato:  text/html
Fonte:  Pesquisa Agropecuária Brasileira v.55 2020
Direitos:  info:eu-repo/semantics/openAccess
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