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Filtros : "Battisti, R" Removido: "Boote, K. J" Limpar

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  • Artigo de periodico

    Characterizing Brazilian soybean-growing regions by water deficit patterns (2019)

    Battisti, R; Sentelhas, Paulo Cesar

    Source: Field Crops Research. Unidade: ESALQ

    Subjects: DEFICIT HÍDRICO, SOJA

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    • ABNT

      BATTISTI, R e SENTELHAS, Paulo Cesar. Characterizing Brazilian soybean-growing regions by water deficit patterns. Field Crops Research, v. 240, p. 95-105, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.fcr.2019.06.007. Acesso em: 05 nov. 2024.

    • APA

      Battisti, R., & Sentelhas, P. C. (2019). Characterizing Brazilian soybean-growing regions by water deficit patterns. Field Crops Research, 240, 95-105. doi:10.1016/j.fcr.2019.06.007

    • NLM

      Battisti R, Sentelhas PC. Characterizing Brazilian soybean-growing regions by water deficit patterns [Internet]. Field Crops Research. 2019 ; 240 95-105.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.fcr.2019.06.007

    • Vancouver

      Battisti R, Sentelhas PC. Characterizing Brazilian soybean-growing regions by water deficit patterns [Internet]. Field Crops Research. 2019 ; 240 95-105.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.fcr.2019.06.007

  • Artigo de periodico

    Assessment of different gridded weather data for soybean yield simulations in Brazil (2019)

    Battisti, R; Bender, F. D; Sentelhas, Paulo Cesar

    Source: Theoretical and Applied Climatology. Unidade: ESALQ

    Subjects: SOJA, AGROCLIMATOLOGIA, MODELOS MATEMÁTICOS, SIMULAÇÃO

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    • ABNT

      BATTISTI, R e BENDER, F. D e SENTELHAS, Paulo Cesar. Assessment of different gridded weather data for soybean yield simulations in Brazil. Theoretical and Applied Climatology, v. 135, n. 1/2, p. 237-247, 2019Tradução . . Disponível em: https://doi.org/10.1007/s00704-018-2383-y. Acesso em: 05 nov. 2024.

    • APA

      Battisti, R., Bender, F. D., & Sentelhas, P. C. (2019). Assessment of different gridded weather data for soybean yield simulations in Brazil. Theoretical and Applied Climatology, 135( 1/2), 237-247. doi:10.1007/s00704-018-2383-y

    • NLM

      Battisti R, Bender FD, Sentelhas PC. Assessment of different gridded weather data for soybean yield simulations in Brazil [Internet]. Theoretical and Applied Climatology. 2019 ; 135( 1/2): 237-247.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s00704-018-2383-y

    • Vancouver

      Battisti R, Bender FD, Sentelhas PC. Assessment of different gridded weather data for soybean yield simulations in Brazil [Internet]. Theoretical and Applied Climatology. 2019 ; 135( 1/2): 237-247.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s00704-018-2383-y

  • Artigo de periodico

    Drought tolerance of brazilian soybean cultivars simulated by a simple agrometeorological yield model (2015)

    Battisti, R; Sentelhas, Paulo Cesar

    Source: Experimental Agriculture. Unidade: ESALQ

    Subjects: SOJA, AGROMETEOROLOGIA, SECA

    PrivadoAcesso à fonteAcesso à fonteDOIHow to cite
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    • ABNT

      BATTISTI, R e SENTELHAS, Paulo Cesar. Drought tolerance of brazilian soybean cultivars simulated by a simple agrometeorological yield model. Experimental Agriculture, v. 51, p. 2. 285-298, 2015Tradução . . Disponível em: https://doi.org/10.1017/S0014479714000283. Acesso em: 05 nov. 2024.

    • APA

      Battisti, R., & Sentelhas, P. C. (2015). Drought tolerance of brazilian soybean cultivars simulated by a simple agrometeorological yield model. Experimental Agriculture, 51, 2. 285-298. doi:10.1017/S0014479714000283

    • NLM

      Battisti R, Sentelhas PC. Drought tolerance of brazilian soybean cultivars simulated by a simple agrometeorological yield model [Internet]. Experimental Agriculture. 2015 ; 51 2. 285-298.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1017/S0014479714000283

    • Vancouver

      Battisti R, Sentelhas PC. Drought tolerance of brazilian soybean cultivars simulated by a simple agrometeorological yield model [Internet]. Experimental Agriculture. 2015 ; 51 2. 285-298.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1017/S0014479714000283
  • 1

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