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| 1. |  | MCCOUCH, S.; BAUTE, G. J.; BRADEEN, J.; BRAMEL, P.; BRETTING, P. K.; BUCKLER, E.; BURKE, J. M.; CHAREST, D.; CLOUTIER, S.; COLE, G.; DEMPEWOLF, H.; DINGKUHN, M.; FEUILLET, C.; GEPTS, P.; GRATTAPAGLIA, D.; GUARINO, L.; JACKSON, S.; KNAPP, S.; LANGRIDGE, P.; LAWTON-RAUH, A.; LIJUA, Q.; LUSTY, C.; MICHAEL, T.; MYLES, S.; NAITO, K.; NELSON, R. L.; PONTAROLLO, R.; RICHARDS, C. M.; RIESEBERG, L.; ROSS-IBARRA , J.; ROUNSLEY, S.; HAMILTON, R. S.; SCHURR, U.; STEIN, N.; TOMOOKA, N.; KNAAP, E. van der; TASSEL, d. van; TOLL, J.; VALLS, J. F. M.; VARSHNEY, R. K.; WARD, J.; WAUGH, R.; WENZL, P.; ZAMIR, D. Feeding the future: we must mine the biodiversity in seed banks to help to overcome food shortages, urge Susan McCouch and colleagues. Nature, v. 499, p. 23-24, 2013.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão; Embrapa Clima Temperado. |
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Data corrente: |
31/01/2024 |
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Data da última atualização: |
31/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
POERSCH, A. H.; STRECK, N. A.; HEINEMANN, A. B.; STEINMETZ, S.; ZANON, A. J.; SILVA, M. R. da; ROSSATO, I. G. |
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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. |
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Título: |
Calibration and evaluation of new irrigated rice cultivars in the SimulArroz model. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Revista Brasileira de Engenharia Agrícola e Ambiental, v. 28, n. 5, e272761, maio 2024. |
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ISSN: |
1807-1929 |
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DOI: |
https://doi.org/10.1590/1807-1929/agriambi.v28n5e272761 |
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Idioma: |
Inglês |
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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. |
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Palavras-Chave: |
Calibração; Coeficientes genéticos; SimulArroz. |
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Thesagro: |
Arroz Irrigado; Fenologia; Modelo de Simulação; Oryza Sativa; Variedade. |
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Thesaurus NAL: |
Calibration; Cultivars; Phenology; Rice; Simulation models. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1161496/1/agriambi-2024.pdf
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Marc: |
LEADER 02425naa a2200373 a 4500
001 2161496
005 2024-01-31
008 2024 bl uuuu u00u1 u #d
022 $a1807-1929
024 7 $ahttps://doi.org/10.1590/1807-1929/agriambi.v28n5e272761$2DOI
100 1 $aPOERSCH, A. H.
245 $aCalibration and evaluation of new irrigated rice cultivars in the SimulArroz model.$h[electronic resource]
260 $c2024
520 $aGiven 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.
650 $aCalibration
650 $aCultivars
650 $aPhenology
650 $aRice
650 $aSimulation models
650 $aArroz Irrigado
650 $aFenologia
650 $aModelo de Simulação
650 $aOryza Sativa
650 $aVariedade
653 $aCalibração
653 $aCoeficientes genéticos
653 $aSimulArroz
700 1 $aSTRECK, N. A.
700 1 $aHEINEMANN, A. B.
700 1 $aSTEINMETZ, S.
700 1 $aZANON, A. J.
700 1 $aSILVA, M. R. da
700 1 $aROSSATO, I. G.
773 $tRevista Brasileira de Engenharia Agrícola e Ambiental$gv. 28, n. 5, e272761, maio 2024.
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Embrapa Arroz e Feijão (CNPAF) |
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