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Genomic and molecular tools for genetic characterization and genomic prediction in rubber tree

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Author(s):
Felipe Roberto Francisco
Total Authors: 1
Document type: Doctoral Thesis
Press: Campinas, SP.
Institution: Universidade Estadual de Campinas (UNICAMP). Instituto de Biologia
Defense date:
Examining board members:
Anete Pereira de Souza; Marcelo Falsarella Carazzolle; Renato Vicentini; Américo José Carvalho Viana; Marcelo Mollinari
Advisor: Anete Pereira de Souza; Livia Moura de Souza
Abstract

Hevea brasiliensis, better known as rubber tree, is an emblematic species with a center of origin in the Amazon basin. It is considered the most important species of the genus Hevea as it is the only species capable of producing natural rubber in quantity and quality to supply the world demand for this raw material, an essential component for more than 40,000 products. Despite containing the center of origin of the rubber tree and large areas with a suitable climate for the cultivation of the species, Brazil is today an importer of this raw material, because in areas with optimal climatic conditions for the cultivation of the species, rubber cultivation is impossible due to the presence of the fungus Pseudocercospora ulei that causes leaf blight (SALB). An alternative for cultivation in the country was planting in regions known as escape areas where the dry and cold climate makes it impossible for SALB to proliferate, just as it is an unsuitable climate for the cultivation of the most productive genotypes. In this context, there is a great need for genetic improvement, mainly aiming at cultivation in these regions. Molecular biology can contribute to the genetic improvement of the species, making it possible to use marker-assisted selection (MAS) using tools such as genomic selection (GS) and genomic wide association (GWAS). This thesis presents for the first time the use of genomic selection in rubber trees using single nucleotide polymorphism markers (SNPs) including the genotype x environment interaction in the predictive model. Using such models, it was possible to obtain an expected genetic gain five times higher than that expected in conventional genetic improvement. In addition, we also approach for the first time the integration of genomic wide association with complex biological networks for identification and characterization of the main molecular mechan (AU)

FAPESP's process: 18/18985-7 - Integrated genetic map and wider genomic selection looking at characters of economic impotence in seringueira
Grantee:Felipe Roberto Francisco
Support Opportunities: Scholarships in Brazil - Doctorate (Direct)