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OSTRICH-CROPGRO multi-objective optimization methodology for calibration of the growing dynamics of a second-generation transgenic soybean tolerant to high temperatures and dry growing conditions

Author

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  • Montero Bulacio, Enrique
  • Romagnoli, Martín
  • Otegui, María E.
  • Chan, Raquel L.
  • Portapila, Margarita

Abstract

Current estimates show that the impact of climate change on agriculture will result in yield losses in major crops of 8–43%, mainly due to a combination of drought and heat. Second-generation transgenic crops are expected to mitigate these constraints. Soybean HaHB4 is a second-generation transgenic crop tolerant to high temperatures and dry growing conditions created in Argentina carrying the sunflower HaHB4 gene. Soybean HaHB4 has been approved in Argentina, the United States, Brazil, Paraguay, Canada and China.

Suggested Citation

  • Montero Bulacio, Enrique & Romagnoli, Martín & Otegui, María E. & Chan, Raquel L. & Portapila, Margarita, 2023. "OSTRICH-CROPGRO multi-objective optimization methodology for calibration of the growing dynamics of a second-generation transgenic soybean tolerant to high temperatures and dry growing conditions," Agricultural Systems, Elsevier, vol. 205(C).
    • Handle: RePEc:eee:agisys:v:205:y:2023:i:c:s0308521x22002190
    DOI: 10.1016/j.agsy.2022.103583
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    References listed on IDEAS

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    1. Lamsal, Abhishes & Welch, S.M. & Jones, J.W. & Boote, K.J. & Asebedo, Antonio & Crain, Jared & Wang, Xu & Boyer, Will & Giri, Anju & Frink, Elizabeth & Xu, Xuan & Gundy, Garrison & Ou, Junjun & Arachc, 2017. "Efficient crop model parameter estimation and site characterization using large breeding trial data sets," Agricultural Systems, Elsevier, vol. 157(C), pages 170-184.
    2. Ruiz-Nogueira, B. & Boote, K. J. & Sau, F., 2001. "Calibration and use of CROPGRO-soybean model for improving soybean management under rainfed conditions," Agricultural Systems, Elsevier, vol. 68(2), pages 151-173, May.
    3. Henrique Figueiredo Moura da Silva, Evandro & Boote, Kenneth J. & Hoogenboom, Gerrit & Gonçalves, Alexandre Ortega & Junior, Aderson Soares Andrade & Marin, Fabio Ricardo, 2021. "Performance of the CSM-CROPGRO-soybean in simulating soybean growth and development and the soil water balance for a tropical environment," Agricultural Water Management, Elsevier, vol. 252(C).
    4. Salmerόn, Montserrat & Purcell, Larry C. & Vories, Earl D. & Shannon, Grover, 2017. "Simulation of genotype-by-environment interactions on irrigated soybean yields in the U.S. Midsouth," Agricultural Systems, Elsevier, vol. 150(C), pages 120-129.
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