Global sensitivity-based modelling approach to identify suitable Eucalyptus traits for adaptation to climate variability and change

Autor(es)

Elli, Elvis Felipe ^[1] ; Huth, Neil ^[2] ; Sentelhas, Paulo Cesar ^[1] ; Carneiro, Rafaela Lorenzato ^[3] ; Alvares, Clayton Alcarde ^[4]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Luiz de Queiroz Coll Agr ESALQ, Dept Biosyst Engn, BR-13418900 Piracicaba, SP - Brazil

^[2] CSIRO, Toowoomba, Qld 4350 - Australia

^[3] Forestry Sci & Res Inst IPEF, BR-13415000 Piracicaba, SP - Brazil

^[4] Suzano SA Co, BR-13473762 Limeira, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: IN SILICO PLANTS; v. 2, n. 1 2020.
• Citações Web of Science: 4

Resumo

Eucalyptus-breeding efforts have been made to identify clones of superior performance for growth and yield and how they will interact with global climate changes. This study performs a global sensitivity analysis for assessing the impact of genetic traits on Eucalyptus yield across contrasting environments in Brazil under present and future climate scenarios. The APSIM Next Generation Eucalyptus model was used to perform the simulations of stemwood biomass (t ha(-1)) for 7-year rotations across 23 locations in Brazil. Projections for the period from 2020 to 2049 using three global circulation models under intermediate (RCP4.5) and high (RCP8.5) greenhouse gas emission scenarios were performed. The Morris sensitivity method was used to perform a global sensitivity analysis to identify the influence of plant traits on stemwood biomass. Traits for radiation use efficiency, leaf partitioning, canopy light capture and fine root partitioning were the most important, impacting the Eucalyptus yield substantially in all environments under the present climate. Some of the traits targeted now by breeders for current climate will remain important under future climates. However, breeding should place a greater emphasis on photosynthetic temperature response for Eucalyptus in some regions. Global sensitivity analysis was found to be a powerful tool for identifying suitable Eucalyptus traits for adaptation to climate variability and change. This approach can improve breeding strategies by better understanding the gene x environment interactions for forest productivity. (AU)

• Processo FAPESP: 18/00642-6 - Melhoria de simulações baseadas em processos do eucalipto com o modelo APSIM e o seu uso para avaliações florestais em cenários climáticos atuais e futuros
• Beneficiário: Elvis Felipe Elli
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Doutorado
• Processo FAPESP: 16/26014-6 - Intercomparação de modelos de simulação de florestas de eucalipto e seu uso na definição de estratégias para o aumento da resiliência e da produtividade frente às mudanças climáticas
• Beneficiário: Elvis Felipe Elli
• Modalidade de apoio: Bolsas no Brasil - Doutorado