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| Registros recuperados : 285 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
12/09/2018 |
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Data da última atualização: |
03/01/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
PEZZOPANE, J. R. M.; SANTOS, P. M.; CRUZ, P. G. da; BOSI, C.; SENTELHAS, P. C. |
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Afiliação: |
JOSE RICARDO MACEDO PEZZOPANE, CPPSE; PATRICIA MENEZES SANTOS, CPPSE; PEDRO GOMES DA CRUZ, CPAF-RO; Cristiam Bosi, USP; Paulo Cesar Sentelhas, USP. |
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Título: |
An integrated agrometeorological model to simulate Marandu palisade grass productivity. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Field Crops Research, v. 224, p. 13-21, 2018. |
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DOI: |
https://doi.org/10.1016/j.fcr.2018.04.015 |
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Idioma: |
Inglês |
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Conteúdo: |
Climate aspects are important for forage production. Therefore, mathematical models that account for such aspects are useful tools to help decision making and improve pasture management. The objective of this study was to develop and parameterize an agrometeorological model based on solar radiation, temperature and soil water availability to estimate Urochloa (syn. Brachiaria) brizantha cv. Marandu production. Such model was parameterized with data from nine growth cycles of an experiment conducted in 2011/2012. For this, base temperature (Tb), radiation use efficiency (RUE) and soil water availability were determined. The model was validated with data from three experiments conducted in 2001/2002, 2009/2010 and 2012 under irrigated and rainfed conditions. Using historical climate data from São Carlos (21°57′S, 47°50′W, 860 m), and Votuporanga (20°30′S, 49°59′W, 430 m), both in the state of São Paulo, Brazil, a sensitivity analysis was performed. During the validation, the biomass estimations presented a R2 of 0.92, D index of 0.98, mean error of −8.1 kg ha−1, and RMSE of 360.7 kg ha−1. Based on the sensitivity analysis, the proposed model was effective to estimate the interannual and seasonal Marandu palisade grass productivity variability, as a function of solar radiation, temperature and rainfall fluctuations. Therefore, this model can be used as a tool to improve pasture management. |
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Palavras-Chave: |
Capim Marandu. |
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Thesagro: |
Balanço Hídrico; Capim Urochloa; Radiação Solar. |
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Thesaurus NAL: |
Urochloa brizantha; Water balance. |
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Categoria do assunto: |
A Sistemas de Cultivo |
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Marc: |
LEADER 02217naa a2200253 a 4500
001 2095476
005 2019-01-03
008 2018 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.fcr.2018.04.015$2DOI
100 1 $aPEZZOPANE, J. R. M.
245 $aAn integrated agrometeorological model to simulate Marandu palisade grass productivity.$h[electronic resource]
260 $c2018
520 $aClimate aspects are important for forage production. Therefore, mathematical models that account for such aspects are useful tools to help decision making and improve pasture management. The objective of this study was to develop and parameterize an agrometeorological model based on solar radiation, temperature and soil water availability to estimate Urochloa (syn. Brachiaria) brizantha cv. Marandu production. Such model was parameterized with data from nine growth cycles of an experiment conducted in 2011/2012. For this, base temperature (Tb), radiation use efficiency (RUE) and soil water availability were determined. The model was validated with data from three experiments conducted in 2001/2002, 2009/2010 and 2012 under irrigated and rainfed conditions. Using historical climate data from São Carlos (21°57′S, 47°50′W, 860 m), and Votuporanga (20°30′S, 49°59′W, 430 m), both in the state of São Paulo, Brazil, a sensitivity analysis was performed. During the validation, the biomass estimations presented a R2 of 0.92, D index of 0.98, mean error of −8.1 kg ha−1, and RMSE of 360.7 kg ha−1. Based on the sensitivity analysis, the proposed model was effective to estimate the interannual and seasonal Marandu palisade grass productivity variability, as a function of solar radiation, temperature and rainfall fluctuations. Therefore, this model can be used as a tool to improve pasture management.
650 $aUrochloa brizantha
650 $aWater balance
650 $aBalanço Hídrico
650 $aCapim Urochloa
650 $aRadiação Solar
653 $aCapim Marandu
700 1 $aSANTOS, P. M.
700 1 $aCRUZ, P. G. da
700 1 $aBOSI, C.
700 1 $aSENTELHAS, P. C.
773 $tField Crops Research$gv. 224, p. 13-21, 2018.
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