Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1152628
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dc.contributor.authorFERRAO, M. A. G.
dc.contributor.authorFONSECA, A. F. A. da
dc.contributor.authorVOLPI, P. S.
dc.contributor.authorSOUZA, L. C. de
dc.contributor.authorCOMÉRIO, M.
dc.contributor.authorVERDIN FILHO, A. C.
dc.contributor.authorRIVA-SOUZA, E. M.
dc.contributor.authorMUNOZ, P. R.
dc.contributor.authorFERRÃO, R. G.
dc.contributor.authorFERRÃO, L. F. V.
dc.date.accessioned2023-03-23T14:51:20Z-
dc.date.available2023-03-23T14:51:20Z-
dc.date.created2023-03-23
dc.date.issued2023
dc.identifier.citationThe Plant Genome, e20321, 2023.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1152628-
dc.descriptionCoffee is a universal beverage that drives a multi-industry market on a global basis. Today, the sustainability of coffee production is threatened by accelerated climate changes. In this work, we propose the implementation of genomic-assisted breeding for climate-smart coffee in Coffea canephora. This species is adapted to higher temperatures and is more resilient to biotic and abiotic stresses. After evaluating two populations, over multiple harvests, and under severe drought weather condition, we dissected the genetic architecture of yield, disease resistance, and quality-related traits. By integrating genome-wide association studies and diallel analyses, our contribution is four-fold: (i) we identified a set of molecular markers with major effects associated with disease resistance and post-harvest traits, while yield and plant architecture presented a polygenic background; (ii) we demonstrated the relevance of nonadditive gene actions and projected hybrid vigor when genotypes from diferente geographically botanical groups are crossed; (iii) we computed medium-to-large heritability values for most of the traits, representing potential for fast genetic progress; and (iv) we provided a first step toward implementing molecular breeding to accelerate improvements in C. canephora. Altogether, this work is a blueprint for how quantitative genetics and genomics can assist coffee breeding and support the supply chain in the face of the current global changes.
dc.language.isoeng
dc.rightsopenAccess
dc.titleGenomic-assisted breeding for climate-smart coffee.
dc.typeArtigo de periódico
dc.subject.nalthesaurusPlant breeding
dc.subject.nalthesaurusClimate
dc.subject.nalthesaurusCoffea canephora var. laurentii
dc.subject.nalthesaurusDisease resistance
dc.format.extent219 p.
riaa.ainfo.id1152628
riaa.ainfo.lastupdate2023-03-23
dc.identifier.doihttps://doi.org/10.1002/tpg2.20321
dc.contributor.institutionMARIA AMELIA GAVA FERRAO, CNPCa; AYMBIRE F. A. DA FONSECA, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; PAULO S. VOLPI, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; LUCIMARA C. DE SOUZA, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; MARCONE COMÉRIO, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; ABRAÃO C. VERDIN FILHO, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; ELAINE M. RIVA-SOUZA, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; PATRICIO R. MUNOZ, UNIVERSITY OF FLORIDA; ROMÁRIO G. FERRÃO, MULTIVIX GROUP; LUÍS FELIPE V. FERRÃO, UNIVERSITY OF FLORIDA.
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