Simulation of the soybean yield as a function of water sensitivity in rainfed cultivation using the CROPWAT model

Author:

Moncada Juan Vicente LiendroORCID,de Oliveira Niclene Ponce RodriguesORCID,Freitag Leonardo ViniciusORCID,Oliveira Daiane SilvaORCID,Feletti Rômulo Caíque GonçalvesORCID,da Silva Patrícia FerreiraORCID,de Moraes Milton FerreiraORCID,Bonfim-Silva Edna MariaORCID,Júnior José Holanda CampeloORCID

Publisher

Springer Science and Business Media LLC

Reference35 articles.

1. Adimassu Z, Mul M, Owusu A (2023) Intra-seasonal rainfall variability and crop yield in the Upper East Region of Ghana. Environ Dev Sustain. https://doi.org/10.1007/s10668-023-03861-2

2. Allen R, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop water requirements, vol 56. Food and Agriculture Organization of the United Nations, FAO Irrigation and Drainage Paper, Rome

3. Amin MES, Mohamed ES, Belal AA, Jalhoum MEM, Abdellatif MA, Nady D, Ali AM, Mahmoud AG (2022) Developing spatial model to assess agro-ecological zones for sustainable agriculture development in MENA region: case study Northern Western Coast, Egypt. Egypt J Remote Sens Space Sci 25:301–311. https://doi.org/10.1016/j.ejrs.2022.01.014

4. Battisti R, Sentelhas PC, Pilau FG, Wollmann CA (2013) Eficiência climática para as culturas da soja e do trigo no estado do Rio Grande do sul em diferentes datas de semeadura. Ciência Rural 43:390–396. https://doi.org/10.1590/S0103-84782013000300003(in Portuguese)

5. Battisti RB, Casaroli D, Paixão JS, Alves Júnior J, Evangelista AWP, Mesquita M (2020) Assessment of soybeans crop management strategies using crop growth models for Central Brazil. In: Mirschel W, Terleev VV, Wenkel K-O (eds) Landscape Modelling and decision support. Innovations in Landscape Research. Springer, Cham, pp 525–544

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