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Biblioteca(s): |
Embrapa Unidades Centrais. |
Data corrente: |
07/02/2020 |
Data da última atualização: |
07/02/2020 |
Autoria: |
ROSA, S. L. K.; SOUZA, J. L. M. de; TSUKAHARA, R. Y. |
Afiliação: |
Stefanie Lais Kreutz Rosa, Universidade Federal do Paraná - UFPR/Departamento de Solos e Engenharia Agrícola; Jorge Luiz Moretti de Souza, Universidade Federal do Paraná - UFPR/Departamento de Solos e Engenharia Agrícola; Rodrigo Yoiti Tsukahara, Fundação ABC. |
Título: |
Performance of the AquaCrop model for the wheat crop in the subtropical zone in Southern Brazil. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, v. 55, e01238, Jan./Dez. 2020. |
Idioma: |
Inglês |
Notas: |
Título em português: Desempenho do modelo AquaCrop para a cultura do trigo na zona subtropical no Sul do Brasil. |
Conteúdo: |
The objective of this work was to calibrate and validate the AquaCrop model for the wheat (Triticum aestivum) crop in the Campos Gerais region, in Southern Brazil. Five cultivars were evaluated in the harvests from 2007 to 2017. The input data for AquaCrop ? related to climate, crop, soil, and soil management ?, collected in the field, were obtained from the database of Fundação ABC and from the literature. From 35 to 43% of total harvests were selected for calibration, and the remaining, for validation. Calibration was performed for the parameters most sensitive to crop potential yield penalty. The simulated yields were compared with those observed in the field through simple linear regression analysis, root mean square error (RMSE), Pearson?s correlation coefficient (r), the index of agreement (d), and the performance index (c). Calibration showed good results (RMSE ≤ 609.78 kg ha-1; r ≥ 0.72; d ≥ 0.80) for all assessed cultivars and locations, but validation did not have the same performance (c ≤ 0.46). The attempted adjustment, considering the range of calibrated parameters in the harvests, indicated ?very good? and ?excellent? performances (Supera and Quartzo, respectively) for the cultivars in Castro and ?tolerable? to ?excellent? in Ponta Grossa. |
Palavras-Chave: |
Mathematical modeling; Modelagem matemática; Produtividade da cultura. |
Thesagro: |
Triticum Aestivum. |
Thesaurus Nal: |
Crop yield. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02085naa a2200217 a 4500 001 2120014 005 2020-02-07 008 2020 bl uuuu u00u1 u #d 100 1 $aROSA, S. L. K. 245 $aPerformance of the AquaCrop model for the wheat crop in the subtropical zone in Southern Brazil.$h[electronic resource] 260 $c2020 500 $aTítulo em português: Desempenho do modelo AquaCrop para a cultura do trigo na zona subtropical no Sul do Brasil. 520 $aThe objective of this work was to calibrate and validate the AquaCrop model for the wheat (Triticum aestivum) crop in the Campos Gerais region, in Southern Brazil. Five cultivars were evaluated in the harvests from 2007 to 2017. The input data for AquaCrop ? related to climate, crop, soil, and soil management ?, collected in the field, were obtained from the database of Fundação ABC and from the literature. From 35 to 43% of total harvests were selected for calibration, and the remaining, for validation. Calibration was performed for the parameters most sensitive to crop potential yield penalty. The simulated yields were compared with those observed in the field through simple linear regression analysis, root mean square error (RMSE), Pearson?s correlation coefficient (r), the index of agreement (d), and the performance index (c). Calibration showed good results (RMSE ≤ 609.78 kg ha-1; r ≥ 0.72; d ≥ 0.80) for all assessed cultivars and locations, but validation did not have the same performance (c ≤ 0.46). The attempted adjustment, considering the range of calibrated parameters in the harvests, indicated ?very good? and ?excellent? performances (Supera and Quartzo, respectively) for the cultivars in Castro and ?tolerable? to ?excellent? in Ponta Grossa. 650 $aCrop yield 650 $aTriticum Aestivum 653 $aMathematical modeling 653 $aModelagem matemática 653 $aProdutividade da cultura 700 1 $aSOUZA, J. L. M. de 700 1 $aTSUKAHARA, R. Y. 773 $tPesquisa Agropecuária Brasileira$gv. 55, e01238, Jan./Dez. 2020.
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