Abstract Sensory analysis is crucial for assessing food and beverage quality, but discrepancies may arise in some cases and make the quality evaluation imprecise even with statistical analysis. This issue can be mitigated by sensory analysis based on the coffee drink nuanced characteristics. Therefore, in this study, six Q-Graders, following the Specialty Coffee Association of America's sensory analysis method, evaluated various samples and the data was evaluated statistically. The experiment employed a multilevel categorical design, encompassing six evaluator levels, 44 sample levels, and two types of quality assessment. Grades were assigned to the 44 samples using traditional evaluation (no comments) and guided evaluation (prior sample information). It was possible to identify evaluators whose assessments were unbiased across both guided and traditional evaluations. This work introduced a novel strategy to identify biased evaluators, assess the impact of evaluation types, and perform a more accurate assessment of Coffea canephora Pierre ex-Froehner (coffee) quality and assurance assisted with statistical analysis. characteristics Therefore study QGraders, QGraders Q Graders, Graders Q-Graders Americas America s method statistically design levels 4 no comments prior information. information . information) evaluations exFroehner ex Froehner (coffee

Resumo O objetivo deste trabalho foi quantificar a diversidade genética e os ganhos com a seleção quanto às características físicas de frutos e grãos dos 86 clones de cafeeiro Coffea canephora mais cultivados na Amazônia Ocidental. Os clones foram avaliados quanto aos efeitos de genótipos (G), anos (A) e da interação GxA. O progresso genético foi quantificado, tendo-se considerado seleção combinada e seleção direta para peso dos grãos de café. Houve interação GxA, embora pelas estimativas de repetibilidade, as plantas tenham apresentado desempenho similar ao longo do tempo. Observou-se correlação positiva entre peso do fruto e dos grãos, exceto para alguns genótipos, como R22, AS5 e 'BRS 3210', que apresentaram grãos maiores e frutos menores, e BG180, P42, LB60, G20 e N12, com frutos maiores e grãos menores. Com uso da seleção para a característica principal, as estimativas de progresso genético foram semelhantes às obtidas com diferentes índices de seleção, por meio dos quais foram selecionados 14 genótipos com maior peso de grãos. Os clones de C. canephora avaliados apresentam alta diversidade genética para seleção de plantas de maior massa de grãos. 8 Ocidental G, G , (G) A (A GxA quantificado tendose tendo se café repetibilidade tempo Observouse Observou R22 R AS BRS 3210, 3210 3210' menores BG180 BG P42 P LB60 LB G2 N12 N principal 1 C (G R2 321 BG18 P4 LB6 N1 32 BG1 3

Abstract The objective of this work was to quantify the genetic diversity and selection gains regarding the physical traits of the fruits and beans of the 86 Coffea canephora clones most grown in western Amazon. The clones were evaluated as to the effects of genotypes (G), years (Y), and the GxY interaction. Genetic progress was quantified considering combined selection and direct selection for coffee bean weight. Although there was a GxY interaction, based on repeatability estimates the plants presented a similar performance over time. A positive correlation was observed between fruit and bean weight, except for some genotypes, such as R22, AS5, and 'BRS 3210', which presented larger beans and smaller fruit, and as BG180, P42, LB60, G20, and N12, with larger fruit and smaller beans. Using selection for the main trait, the estimates of genetic progress were similar to those obtained through different selection indexes, through which 14 genotypes with a higher bean weight were selected. The evaluated C. canephora clones exhibit high genetic diversity for the selection of plants with higher grain mass. 8 Amazon G, G , (G) Y, Y (Y) interaction time R22 R AS5 AS BRS 3210, 3210 3210' BG180 BG P42 P LB60 LB G20 N12 N trait indexes 1 selected C mass (G (Y R2 321 BG18 P4 LB6 G2 N1 32 BG1 3