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Artigo de periodico
Improving the CROPGRO Perennial Forage Model for simulating growth and biomass partitioning of guineagrass (2021)
Brunetti, Henrique Bauab; Boote, K. J; Santos, Patricia Menezes; Pezzopane, José Ricardo Macedo ; Pedreira, Carlos Guilherme Silveira ; Lara, M. A. S; Moreno, L. S. B; Hoogenboom, G
Source: Agronomy Journal. Unidade: ESALQ
Subjects: BIOMASSA, CAPIM MOMBAÇA, CAPIM-TANZÂNIA, CRESCIMENTO VEGETAL, FORRAGEM, SIMULAÇÃO
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ABNT
BRUNETTI, Henrique Bauab et al. Improving the CROPGRO Perennial Forage Model for simulating growth and biomass partitioning of guineagrass. Agronomy Journal, p. 1-16, 2021Tradução . . Disponível em: https://doi.org/10.1002/agj2.20766. Acesso em: 05 nov. 2024.
APA
Brunetti, H. B., Boote, K. J., Santos, P. M., Pezzopane, J. R. M., Pedreira, C. G. S., Lara, M. A. S., et al. (2021). Improving the CROPGRO Perennial Forage Model for simulating growth and biomass partitioning of guineagrass. Agronomy Journal, 1-16. doi:10.1002/agj2.20766
NLM
Brunetti HB, Boote KJ, Santos PM, Pezzopane JRM, Pedreira CGS, Lara MAS, Moreno LSB, Hoogenboom G. Improving the CROPGRO Perennial Forage Model for simulating growth and biomass partitioning of guineagrass [Internet]. Agronomy Journal. 2021 ; 1-16.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1002/agj2.20766
Vancouver
Brunetti HB, Boote KJ, Santos PM, Pezzopane JRM, Pedreira CGS, Lara MAS, Moreno LSB, Hoogenboom G. Improving the CROPGRO Perennial Forage Model for simulating growth and biomass partitioning of guineagrass [Internet]. Agronomy Journal. 2021 ; 1-16.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1002/agj2.20766
Artigo de periodico
Physiological responses and forage accumulation of Marandu palisadegrass and Mombaça guineagrass to nitrogen fertilizer in the Brazilian forage-based systems (2020)
Domiciano, L. F; Santos, Mariely Lopes dos ; Boote, K. J; Santos, P. M. dos; Pereira, D. H; Pedreira, B. C
Source: Grassland Science. Unidade: ESALQ
Subjects: CAPIM MARANDU, CAPIM MOMBAÇA, CLOROFILA, FERTILIZANTES NITROGENADOS, FOTOSSÍNTESE, FORRAGEM, NITROGÊNIO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DOMICIANO, L. F et al. Physiological responses and forage accumulation of Marandu palisadegrass and Mombaça guineagrass to nitrogen fertilizer in the Brazilian forage-based systems. Grassland Science, p. 1-9, 2020Tradução . . Disponível em: https://doi.org/10.1111/grs.12291. Acesso em: 05 nov. 2024.
APA
Domiciano, L. F., Santos, M. L. dos, Boote, K. J., Santos, P. M. dos, Pereira, D. H., & Pedreira, B. C. (2020). Physiological responses and forage accumulation of Marandu palisadegrass and Mombaça guineagrass to nitrogen fertilizer in the Brazilian forage-based systems. Grassland Science, 1-9. doi:10.1111/grs.12291
NLM
Domiciano LF, Santos ML dos, Boote KJ, Santos PM dos, Pereira DH, Pedreira BC. Physiological responses and forage accumulation of Marandu palisadegrass and Mombaça guineagrass to nitrogen fertilizer in the Brazilian forage-based systems [Internet]. Grassland Science. 2020 ; 1-9.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1111/grs.12291
Vancouver
Domiciano LF, Santos ML dos, Boote KJ, Santos PM dos, Pereira DH, Pedreira BC. Physiological responses and forage accumulation of Marandu palisadegrass and Mombaça guineagrass to nitrogen fertilizer in the Brazilian forage-based systems [Internet]. Grassland Science. 2020 ; 1-9.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1111/grs.12291
Artigo de periodico
Species-genotypic parameters of the CROPGRO Perennial Forage Model: implications for comparison of three tropical pasture grasses (2018)
Pequeno, D. N. L; Pedreira, Carlos Guilherme Silveira; Boote, K. J; Alderman, P. D; Faria, A. F. G
Source: Grass and Forage Science. Unidade: ESALQ
Subjects: CAPIM BRAQUIÁRIA, CAPIM TIFTON, CAPIM MARANDU, FORRAGEM, PASTAGENS, SIMULAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEQUENO, D. N. L et al. Species-genotypic parameters of the CROPGRO Perennial Forage Model: implications for comparison of three tropical pasture grasses. Grass and Forage Science, v. 73, p. 440-455, 2018Tradução . . Disponível em: https://doi.org/10.1111/gfs.12329. Acesso em: 05 nov. 2024.
APA
Pequeno, D. N. L., Pedreira, C. G. S., Boote, K. J., Alderman, P. D., & Faria, A. F. G. (2018). Species-genotypic parameters of the CROPGRO Perennial Forage Model: implications for comparison of three tropical pasture grasses. Grass and Forage Science, 73, 440-455. doi:10.1111/gfs.12329
NLM
Pequeno DNL, Pedreira CGS, Boote KJ, Alderman PD, Faria AFG. Species-genotypic parameters of the CROPGRO Perennial Forage Model: implications for comparison of three tropical pasture grasses [Internet]. Grass and Forage Science. 2018 ; 73 440-455.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1111/gfs.12329
Vancouver
Pequeno DNL, Pedreira CGS, Boote KJ, Alderman PD, Faria AFG. Species-genotypic parameters of the CROPGRO Perennial Forage Model: implications for comparison of three tropical pasture grasses [Internet]. Grass and Forage Science. 2018 ; 73 440-455.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1111/gfs.12329
Artigo de periodico
Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil (2018)
Battisti, R; Sentelhas, Paulo Cesar; Boote, K. J
Source: International Journal of Biometeorology. Unidade: ESALQ
Subjects: SOJA, MUDANÇA CLIMÁTICA, DIÓXIDO DE CARBONO, RADIAÇÃO SOLAR E TERRESTRE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BATTISTI, R e SENTELHAS, Paulo Cesar e BOOTE, K. J. Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil. International Journal of Biometeorology, v. 62, p. 823-832, 2018Tradução . . Disponível em: https://doi.org/10.1007/s00484-017-1483-1. Acesso em: 05 nov. 2024.
APA
Battisti, R., Sentelhas, P. C., & Boote, K. J. (2018). Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil. International Journal of Biometeorology, 62, 823-832. doi:10.1007/s00484-017-1483-1
NLM
Battisti R, Sentelhas PC, Boote KJ. Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil [Internet]. International Journal of Biometeorology. 2018 ; 62 823-832.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s00484-017-1483-1
Vancouver
Battisti R, Sentelhas PC, Boote KJ. Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil [Internet]. International Journal of Biometeorology. 2018 ; 62 823-832.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s00484-017-1483-1
Artigo de periodico
Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil (2018)
Battisti, R; Sentelhas, Paulo Cesar; Boote, K. J
Source: International Journal of Biometeorology. Unidade: ESALQ
Subjects: SOJA, MUDANÇA CLIMÁTICA, DIÓXIDO DE CARBONO, CHUVA, RADIAÇÃO SOLAR E TERRESTRE, TEMPERATURA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BATTISTI, R e SENTELHAS, Paulo Cesar e BOOTE, K. J. Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil. International Journal of Biometeorology, v. 62, n. 5, p. 823-832, 2018Tradução . . Disponível em: https://doi.org/10.1007/s00484-017-1483-1. Acesso em: 05 nov. 2024.
APA
Battisti, R., Sentelhas, P. C., & Boote, K. J. (2018). Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil. International Journal of Biometeorology, 62( 5), 823-832. doi:10.1007/s00484-017-1483-1
NLM
Battisti R, Sentelhas PC, Boote KJ. Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil [Internet]. International Journal of Biometeorology. 2018 ; 62( 5): 823-832.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s00484-017-1483-1
Vancouver
Battisti R, Sentelhas PC, Boote KJ. Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil [Internet]. International Journal of Biometeorology. 2018 ; 62( 5): 823-832.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s00484-017-1483-1

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