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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. |
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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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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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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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Biblioteca |
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| Registros recuperados : 12 | |
| 3. |  | TONATO, F.; PEDREIRA, B. C. e; PEDREIRA, C. G. S.; PEQUENO, D. N. L. Aveia preta e azevém anual colhidos por interceptação de luz ou intervalo fixo de tempo em sistemas integrados de agricultura e pecuária no Estado de São Paulo. Ciência Rural, Santa Maria, v. 44, n. 1, p. 104-110, jan, 2014.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Agrossilvipastoril; Embrapa Amazônia Ocidental. |
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| 4. | | MORENO, L. S. B.; BOOTE, K. J.; SOLLENBERGER, L. D.; KOHMANN, M. M.; PEQUENO, D. N. L. Shade and nitrogen effects on regrowth dynamics, partitioning, and herbage production of Jiggs Bermudagrass and Mulato-2 brachiaria hybrid. In: ASA, CSSA-SSSA INTERNATIONAL ANNUAL MEETINGS, 2015, Minneapolis. Synergy in science: partnering for solutions: proceedings. Madison: American Soceity of Agronomy, 2015. Resumo 307-38.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Pesca e Aquicultura. |
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| 5. | | FERNANDES, J. M. C.; PAVAN, W.; PEQUENO, D.; WIEST, R.; HOLBIG, C. A.; OLIVEIRA, F.; HOOGENBOOM, G. Improving crop pest/disease modeling. In: BOOTE, K. (Ed.). Advances in crop modelling for a sustainable agriculture. Cambridge, UK: Burleigh Dodds Science Publishing, 2019.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Trigo. |
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| 6. | | PEREIRA, C. G. S.; SILVA, V. J. da; GUIMARÃES, M. S.; PEQUENO, D. N. L.; TONATO, F. Fixed versus variable rest period effects on herbage accumulation and canopy structure of grazed 'Tifton 85' and 'Jiggs' Bermuda grass. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 53, n. 1, p. 113-120, jan. 2018. Título em português: Efeitos de períodos de descanso fixo e variável no acúmulo de forragem e estrutura do dossel de capim-bermuda 'Jiggs' e 'Tifton 85' sob pastejo.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 7. | | PEQUENO, D. N. L.; FERREIRA, T. B.; FERNANDES, J. M. C.; SINGH, P. K.; PAVAN, W.; SONDER, K.; ROBERTSON, R.; KRUPNIK, T.; ERENSTEIN, O.; ASSENG, S. Production vulnerability to wheat blast disease under climate change. In: INTERNATIONAL WHEAT CONGRESS, 3., 2024, Perth, Australia. Poster presentations abstract book... Perth: Murdoch University, 2024. p. 173.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Trigo. |
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| 8. | | PEQUENO, D. N. L.; FERREIRA, T. B.; FERNANDES, J. M. C.; SINGH, P. K.; PAVAN, W.; SONDER, K.; ROBERTSON, R.; KRUPNIK, T. J.; ERENSTEIN, E.; ASSENG, S. Production vulnerability to wheat blast disease under climate change. Nature Climate Change, v. 14, n. 2, p. 178-183, Feb. 2024.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Trigo. |
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| 9. | | SANTOS, M. L. dos; SANTOS, P. M.; BOOTE, K. J.; PEQUENO, D. N. L.; BARIONI, L. G.; CUADRA, S. V.; HOOGENBOOM, G. Applying the CROPGRO Perennial Forage Model for long-term estimates of Marandu palisadegrass production in livestock management scenarios in Brazil. Field Crops Research, v. 286, 108629, Oct. 2022. 16 p.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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| 10. | | TONATO, F.; PEDREIRA, C. G.; PEQUENO, D. N.; AQUINO, D. C.; CARVALHO, M. S.; FERREIRA, A. S.; GUIMARAES, M. S.; SILVA, V. J.; NGULUVE, D. Total and monthly yield of annual ryegrass and arrowleaf clover grown in pure and mixed stands with or without nitrogen fertilization in Southeastern Brazil. In: ASA-CSSA-SSSA INTERNATIONAL ANNUAL MEETINGS, 2011, San Antonio. Fundamental for life: soil, crop, and environmental sciences: abstracts. Madison: ASA: CSSA: SSSA, 2011.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 11. | | FERREIRA, T. B.; PAVAN, W.; FERNANDES, J. M. C.; ASSENG, S.; OLIVEIRA, F. A. de; HÖLBIG, C. A.; PEQUENO, D. N. L.; DALMAGO, G. A.; ZANATTA, A. L.; HOOGENBOOM, G. Coupling a pest and disease damage module with CSM-NWheat: a wheat crop simulation model. Transactions of the ASABE, v. 64, n. 6, p. 2061-2071, 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Trigo. |
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| 12. | | RAMIREZ-VILLEGAS, J.; MOLERO MILAN, A.; ALEXANDROV, N.; ASSENG, S.; CHALLINOR, A. J.; CROSSA, J.; VAN EEUWIJK, F.; GHANEM, M. E.; GRENIER, C.; HEINEMANN, A. B.; WANG, J.; JULIANA, P.; KEHEL, Z.; KHOLOVA, J; KOO, J.; PEQUENO, D.; QUIROZ, R.; REBOLLEDO, M. C.; SUKUMARAN, S.; VADEZ, V.; WHITE, J. W.; REYNOLDS, M. CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate. Crop Science, 2020. Online Version of Record before inclusion in an issue.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| Registros recuperados : 12 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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