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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Modelling the trash blanket effect on sugarcane growth and water use

Texto completo
Autor(es):
Vianna, Murilo dos Santos [1] ; Pinto Nassif, Daniel Silveira [2] ; Carvalho, Kassio dos Santos [3] ; Marin, Fabio Ricardo [4]
Número total de Autores: 4
Afiliação do(s) autor(es):
[1] Univ Leeds, Sch Earth & Environm, Leeds LS2 9JT, W Yorkshire - England
[2] Univ Fed Sao Carlos, Ctr Nat Sci, Buri, SP - Brazil
[3] Fed Inst Mato Grosso, Dept Agr Engn, Sorriso, MS - Brazil
[4] Univ Sao Paulo, Luiz de Queiroz Coll Agr, BR-13418900 Piracicaba, SP - Brazil
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: COMPUTERS AND ELECTRONICS IN AGRICULTURE; v. 172, MAY 2020.
Citações Web of Science: 4
Resumo

The traditional practice of burning at the pre-harvesting of sugarcane has being phased-out in Brazil, resulting in the maintenance of a crop s residue layer on soil surface, namely the Green Cane Trash Blanket (GCTB). New technologies for electricity and second-generation ethanol (2G) production from crop residues have raised the question on what would be the optimum amount of crop residue left on the field to keep the agronomic and environmental benefits of GCTB. To support informed decision making on sugarcane trash management, we updated, evaluated and applied a new version of the SAMUCA model to simulate the sugarcane growth and water use under the GCTB effect. The updated model was calibrated and parameterized for bare soil and GCTB conditions and evaluated across different Brazilian regions. Thirty-year simulations were then conducted with the updated model to quantify the effects of GCTB on sugarcane growth and water use where sugarcane is traditionally grown in Brazil. The updated version of SAMUCA model showed equal or superior performance when compared with widely-used process-based models for sugarcane. Based on our 30-year simulations, the GCTB exhibited a high probability to promote a beneficial effect on sugarcane yields in dry climates ( > 90%), with the potential for increasing, on average, 14 ton ha(-1) of fresh cane yield in Petrolina, Brazil. Although the beneficial effect on yields were not significant in humid regions, the maintenance of 12 ton ha(-1) of GCTB was associated with a high probability (>87%) in reducing the water use of sugarcane cropping system by 89 mm, on average, potentially reducing irrigation demand in the early stages of crop development while protecting crop production under dry spell events. The new version of SAMUCA model offers as a tool for decision making on mulch management in sugarcane plantations. (AU)

Processo FAPESP: 14/05887-6 - Desenvolvimento, aprimoramento, calibração e avaliação de um modelo baseado em processos para a cana-de-açúcar brasileira
Beneficiário:Murilo dos Santos Vianna
Modalidade de apoio: Bolsas no Brasil - Doutorado
Processo FAPESP: 15/16214-5 - Aprimorando a simulação da cultura da cana-de-açúcar baseado em um modelo agro-hidrológico combinado
Beneficiário:Murilo dos Santos Vianna
Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Doutorado
Processo FAPESP: 17/20925-0 - Atlas de eficiência agrícola do Brasil: quantificando o potencial de intensificação sustentável da agropecuária brasileira
Beneficiário:Fabio Ricardo Marin
Modalidade de apoio: Auxílio à Pesquisa - Regular
Processo FAPESP: 17/50445-0 - Brazilian yield-gap atlas: assessing the potential for sustainable intensification of Brazilian agriculture
Beneficiário:Fabio Ricardo Marin
Modalidade de apoio: Auxílio à Pesquisa - Regular