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Registro Completo |
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Biblioteca(s): |
Embrapa Agropecuária Oeste. |
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Data corrente: |
12/01/2024 |
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Data da última atualização: |
12/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
GOMES, L. D.; FLUMIGNAN, D. L.; COMUNELLO, E.; GARCIA, R. A. |
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Afiliação: |
LIDIANE D. GOMES, UNIVERSIDADE FEDERAL DA GRANDE DOURADOS, DOURADOS; DANILTON LUIZ FLUMIGNAN, CPAO; EDER COMUNELLO, CPAO; RODRIGO ARROYO GARCIA, CPAO. |
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Título: |
Calibration of the cropwat model for the study of soybean production systems. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Engenharia Agrícola, Jaboticabal, v.43, n.1, e20220059, 2023. |
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DOI: |
10.1590/1809-4430 |
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Idioma: |
Inglês |
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Conteúdo: |
CROPWAT is a model that uses water balance to study the water factor and productivity in production systems. In this sense, this study aimed to calibrate the CROPWAT for modeling rainfed and irrigated soybean production systems. Climate and soil data from a soybean-producing region in the south of Mato Grosso do Sul, Brazil, were used to implementing simulations in nine agricultural years, and crop shortfalls were calculated and compared with reference data. Statistical indices were applied to evaluate the performance of the model in its calibration. For validation, two field trials with 12 cultivars were implemented under irrigation and rainfed and the mean productivity in each water management was compared with the CROPWAT estimate by Student’s t-test. Accuracy (r) was 0.976 (“very strong”), precision (r2 ) was equivalent to 95.3%, and the indices of agreement (d) and performance (c) were considered excellent (0.95 and 0.93, respectively) in the calibration. Validation demonstrated that the hypothesis that CROPWAT correctly estimated soybean productivity under irrigated and rainfed systems cannot be rejected at 1 or 5% significance levels. |
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Thesagro: |
Evapotranspiração; Soja. |
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Categoria do assunto: |
A Sistemas de Cultivo |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1160794/1/download-8.pdf
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Marc: |
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001 2160794
005 2024-01-12
008 2023 bl uuuu u00u1 u #d
024 7 $a10.1590/1809-4430$2DOI
100 1 $aGOMES, L. D.
245 $aCalibration of the cropwat model for the study of soybean production systems.$h[electronic resource]
260 $c2023
520 $aCROPWAT is a model that uses water balance to study the water factor and productivity in production systems. In this sense, this study aimed to calibrate the CROPWAT for modeling rainfed and irrigated soybean production systems. Climate and soil data from a soybean-producing region in the south of Mato Grosso do Sul, Brazil, were used to implementing simulations in nine agricultural years, and crop shortfalls were calculated and compared with reference data. Statistical indices were applied to evaluate the performance of the model in its calibration. For validation, two field trials with 12 cultivars were implemented under irrigation and rainfed and the mean productivity in each water management was compared with the CROPWAT estimate by Student’s t-test. Accuracy (r) was 0.976 (“very strong”), precision (r2 ) was equivalent to 95.3%, and the indices of agreement (d) and performance (c) were considered excellent (0.95 and 0.93, respectively) in the calibration. Validation demonstrated that the hypothesis that CROPWAT correctly estimated soybean productivity under irrigated and rainfed systems cannot be rejected at 1 or 5% significance levels.
650 $aEvapotranspiração
650 $aSoja
700 1 $aFLUMIGNAN, D. L.
700 1 $aCOMUNELLO, E.
700 1 $aGARCIA, R. A.
773 $tEngenharia Agrícola, Jaboticabal$gv.43, n.1, e20220059, 2023.
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Registro original: |
Embrapa Agropecuária Oeste (CPAO) |
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| Registros recuperados : 134 | |
| 2. |  | GEISENHOFF, L. O.; FLUMIGNAN, D. L. Irrigação na agricultura familiar. In: PEZARICO, C. R.; RETORE, M. (Ed.). Tecnologias para a agricultura familiar. 3. ed. rev. e atual. Dourados: Embrapa Agropecuária Oeste, 2018. il. color. (Embrapa Agropecuária Oeste. Documentos, 122). p. 181-184| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Agropecuária Oeste. |
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| Registros recuperados : 134 | |
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