Coffee is one of the most consumed beverages in the world and is crucial in the economy of
many developing countries. The search to improve coffee quality comes from many fronts, as …

In recent years growing volumes of data have made the task of applying various machine
learning algorithms a challenge in a great number of cases. This challenge is posed in two …

The use of resistant cultivars is the most effective strategy for controlling coffee leaf rust
caused by the fungus Hemileia vastatrix. To assist the development of such cultivars …

Brazil stands out worldwide in the production of coffee. The observed increases in its
productivity and morpho agronomic traits are the results of the improvement of several …

This study assessed the efficiency of Genomic selection (GS) or genome‐wide selection
(GWS), based on Regularized Quantile Regression (RQR), in the selection of genotypes to …

Several factors such as genotype, environment, and post-harvest processing can affect the
responses of important traits in the coffee production chain. Determining the influence of …

The evaluation of morphological characters related to the hulled coffee yield subsidizes the
selection of Coffea canephora plants that combine a set of favorable traits. However, the …

The present study aimed to evaluate the applicability and efficiency of the FAI-BLUP index in
the genetic selection of maize hybrids, using 84 maize hybrids that were evaluated for cycle …

Plant breeding aims to develop cultivars with good agronomic traits through gene
recombination and elite genotype selection. To support Coffea arabica breeding programs …

With globalization and easy access to information, a consumer market that is more
conscious and focused on the search for superior quality coffees appears. To meet this …