The genome and population genomics of allopolyploid Coffea arabica reveal the diversification history of modern coffee cultivars.

Coffea arabica, an allotetraploid hybrid of Coffea eugenioides and Coffea canephora, is the source of approximately 60% of coffee products worldwide, and its cultivated accessions have undergone several population bottlenecks. We present chromosome-level assemblies of a di-haploid C. arabica accession and modern representatives of its diploid progenitors, C.

Genome-wide association study for resistance to pv. in .

Bacteria halo blight (BHB), a coffee plant disease caused by pv. , has been gaining importance in producing mountain regions and mild temperatures areas as well as in coffee nurseries. Most cultivars are susceptible to this disease.

Virulence and Reproductive Fitness of Field Populations in Coffee Genotypes.

The aim of this study was to characterize populations collected from infested coffee crops. Methodologies used to characterize the 11 studied populations from municipalities in Paraná and Minas Gerais States involved the morphological analysis of perineal patterns, biochemical analysis by isozyme electrophoresis, sequencing of internal transcribes spacer 1 (ITS-1) and D2/D3 ribosomal DNA (rDNA) regions, reproductive fitness, and virulence characterization in coffee genotypes. Morphological evaluations showed the existence of variation between populations, although the majority of them showed typical perineal patterns.

Correction to: Arabica coffee fruits phenology assessed through degree days, precipitation, and solar radiation exposure on a daily basis.

The article was published with an erroneous rendering of Table 1. The correct rendering of this table is provided below. The original article has been corrected.

Population structure and genetic relationships between Ethiopian and Brazilian Coffea arabica genotypes revealed by SSR markers.

Information about population structure and genetic relationships within and among wild and brazilian Coffea arabica L. genotypes is highly relevant to optimize the use of genetic resources for breeding purposes. In this study, we evaluated genetic diversity, clustering analysis based on Jaccard's coefficient and population structure in 33 genotypes of C.

Arabica coffee fruits phenology assessed through degree days, precipitation, and solar radiation exposure on a daily basis.

Knowledge regarding reproductive cycle duration is important in terms of scheduling harvests and estimating coffee cultivars adaptability. Nine Coffea arabica cultivars were evaluated during two successive reproductive cycles. Dates of occurrence of the major blossoms, and the green and ripe fruits, on 64 branches for each cultivar, were registered during each reproductive cycle.