Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1166918
Title: Identification of SNP markers and candidate genes associated with major agronomic traits in coffea arabica.
Authors: SILVA, R. A. da
CAIXETA, E. T.
SILVA, L. de F.
SOUSA, T. V.
OLIVEIRA, A. C. B. de
PEREIRA, A. A.
BARRETO, C. A. V. B.
NASCIMENTO, M.
Affiliation: RUANE ALICE DA SILVA, UNIVERSIDADE FEDERAL DE VIÇOSA; EVELINE TEIXEIRA CAIXETA MOURA, CNPCA; LETÍCIA DE FARIA SILVA, UNIVERSIDADE FEDERAL DE VIÇOSA; TIAGO VIEIRA SOUSA, UNIVERSIDADE FEDERAL DO TRIÂNGULO MINEIRO; ANTONIO CARLOS BAIAO DE OLIVEIRA, CNPCA; ANTONIO ALVES PEREIRA, EMPRESA DE PESQUISA AGROPECUÁRIA DE MINAS GERAIS; CYNTHIA APARECIDA VALIATI BARRETO, UNIVERSIDADE FEDERAL DE VIÇOSA; MOYSÉS NASCIMENTO, UNIVERSIDADE FEDERAL DE VIÇOSA.
Date Issued: 2024
Citation: Plants, v. 13, n. 13, 2024.
Pages: 16 p.
Description: Genome-wide association studies (GWASs) allow for inferences about the relationships between genomic variants and phenotypic traits in natural or breeding populations. However, few have used this methodology in Coffea arabica. We aimed to identify chromosomal regions with significant associations between SNP markers and agronomic traits in C. arabica. We used a coffee panel consisting of 195 plants derived from 13 families in F2 generations and backcrosses of crosses between leaf rust-susceptible and -resistant genotypes. The plants were phenotyped for 18 agronomic markers and genotyped for 21,211 SNP markers. A GWAS enabled the identification of 110 SNPs with significant associations (p < 0.05) for several agronomic traits in C. arabica: plant height, plagiotropic branch length, number of vegetative nodes, canopy diameter, fruit size, cercosporiosis incidence, and rust incidence. The effects of each SNP marker associated with the traits were analyzed, such that they can be used for molecular marker-assisted selection. For the first time, a GWAS was used for these important agronomic traits in C. arabica, enabling applications in accelerated coffee breeding through marker-assisted selection and ensuring greater efficiency and time reduction. Furthermore, our findings provide preliminary knowledge to further confirm the genomic loci and potential candidate genes contributing to various structural and disease-related traits of C. arabica.
NAL Thesaurus: Plant breeding
Genetic markers
Agronomic traits
Coffea arabica var. arabica
DOI: https://doi.org/10.3390/plants13131876
Type of Material: Artigo de periódico
Access: openAccess
Appears in Collections:Artigo em periódico indexado (SAPC)

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