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CROPGRO-Perennial Forage model: parameterization of biological nitrogen fixation in Ipyporã brachiariagrass

Grant number: 21/11742-4
Support Opportunities:Scholarships abroad - Research Internship - Post-doctor
Effective date (Start): February 01, 2022
Effective date (End): January 31, 2023
Field of knowledge:Agronomical Sciences - Animal Husbandry - Pastures and Forage Crops
Principal Investigator:Carlos Guilherme Silveira Pedreira
Grantee:Fagner Junior Gomes
Supervisor: Kenneth Jay Boote
Host Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
Research place: University of Florida, Gainesville (UF), United States  
Associated to the scholarship:19/18574-0 - Modeling biological nitrogen fixation in ipyporã brachiariagrass with APSIM and CROPGRO models, BP.PD


The intensification of forage-based animal production systems is often associated with the use of nitrogen (N) which is an essential nutrient for forage grasses. In a scenario of increasing production costs and increasing environmental pressures, biological N fixation through N-fixing bacteria is a sustainable and low-cost option for supplying N to plants. However, there are no culture models to simulate these scenarios with the contribution of bacterial inoculation as a source of N supply for forages. The objective of the present study is to parameterize and test the efficiency of the CROPGRO-Perennial Forage model to simulate the productivity of the Ipyporã brachiariagrass [Brachiaria spp. (syn. Urochloa spp.) cv. BRS331 Ipyporã] under the effect of bacterial inoculation. For this, data from an experiment performed at Embrapa Agrossilvipastoril in Sinop - MT, in a randomized complete block design, with four treatments applied in pastures of Ipyporã brachiariagrass, with three replicates: (1) without nitrogen fertilization (control); 2. fertilized with 80 kg N ha-1 yr-1; (3) inoculation with Azospirillum brasilense; (4) fertilized with 80 kg N ha-1 yr-1 + inoculant. Afterward, calibrations of the model will be carried out to simulate the pasture productivity for all the scenarios. The expected results are to construct parameterizations of the model with good efficiency in estimating the productivity of a hybrid of Brachiaria in monoculture and fertilized, managed under rotational defoliation, and to estimate the effect of the bacterial inoculation in these systems. (AU)

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