02317naa a2200301 a 450000100080000000500110000800800410001902400440006010000210010424500790012526000090020430000100021352014830022365000120170665000360171865000230175465000190177770000250179670000170182170000200183870000170185870000240187570000220189970000170192170000190193870000220195777300360197921526282023-07-11 2023 bl uuuu u00u1 u #d7 ahttps://doi.org/10.1002/tpg2.203212DOI1 aFERRAO, M. A. G. aGenomic-assisted breeding for climate-smart coffee.h[electronic resource] c2023 a19 p. aCoffee 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. aClimate aCoffea canephora var. laurentii aDisease resistance aPlant breeding1 aFONSECA, A. F. A. da1 aVOLPI, P. S.1 aSOUZA, L. C. de1 aCOMÉRIO, M.1 aVERDIN FILHO, A. C.1 aRIVA-SOUZA, E. M.1 aMUNOZ, P. R.1 aFERRÃO, R. G.1 aFERRÃO, L. F. V. tThe Plant Genome, e20321, 2023.