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Quinoa is a self-pollinating species with very small flowers, which hinders efficiency in crossbreeding. Therefore, developing an efficient crossbreeding method should be considered an important step for breeding programs. In this regard, the objective of this study was to obtain hybrids, estimate the rate of natural hybridization, and estimate genetic parameters and agronomic characteristics of the F2 generation. Crossbreeding assays were set up in three environments with four parents, using two methodologies, pot planting and field planting. Morphological markers were used to identify the hybrids, which were self-pollinated to obtain the F2 generation. The results indicated that cross-pollination ranged from 3.81% to 19.88% depending on the planting methodology. The presence of pigmentation was dominant compared to its absence. The most prominent hybrid was obtained from the cross P88 x BX4, showing grain yield of 3000 kg ha-1. Broad-sense heritability was identified with values exceeding 81.27% for all variables. [ABSTRACT FROM AUTHOR]

Eighty-five Coffea canephora genotypes were evaluated for three crop seasons under irrigation in the Cerrado of the Distrito Federal, Brazil, to characterize the population regarding phenotype, yield and maturation cycle. The experiment was conducted through the Basic Model of Repeatability without Design methodology. Regarding the cycles, genotypes were divided into four groups with the following periods, in days, from resumption of irrigation to the cherry stage: very early (243-255), early (256-267), medium (268-280), and semilate (281-293). For yield, the repeatability obtained was approximately 33%, a medium value that represents the proportion of the permanent phenotypic variance in relation to the total phenotypic variance. The average repeatability obtained surpassed 59%, and accuracy, with three crop seasons, reached 77%. The selection gains obtained may be higher than 38%. There are promising genotypes for cultivation in the region under study. The mean repeatability and the accuracy obtained favor selection based on phenotypes. [ABSTRACT FROM AUTHOR]