RESUMO: Com o avanço da cafeicultura, múltiplas características devem ser consideradas na seleção de plantas, que devem apresentar um conjunto de atributos favoráveis. O rendimento, definido como a relação de massas entre os frutos maduros e os grãos processados, é um importante componente da produtividade. Este estudo tem como objetivo caracterizar o rendimento ao longo de duas colheitas de 57 clones comercializados em domínio público e 10 cultivares registradas. A análise considera efeitos de genótipos, medições e estimativas de ganhos com a seleção. De acordo com o ciclo de maturação de cada clone, amostras de café cereja foram colhidas considerando um delineamento fatorial inteiramente ao acaso para a caracterização dos efeitos de genótipos, anos e interação genótipo × anos (GA). A secagem, o descascamento e o rendimento foram avaliados individualmente. Apesar dos efeitos significativos da interação GA, os genótipos apresentaram pequenas mudanças no ordenamento de uma medição para a outra. Clones com maior rendimento, entre eles, LB30, BRS1216, LB12, N7, LB10, LB20, BRS3220 e AS5 apresentaram rendimento médio de 25,51% associado a estimativas de ganho de 12,17%. Por outro lado, clones de menor rendimento, como BG180, GJ30, GJ20, AS7, AS10, P42, N1 e P60 tiveram uma média de 19,15% associada a uma redução de 14,02%. A partir da distribuição dos valores, 19,4, 62,7 e 17,9% dos genótipos apresentaram rendimento classificados como alto, médio e baixo, subsidiando o melhor cultivo dos genótipos avaliados. RESUMO cafeicultura plantas favoráveis processados produtividade 5 1 registradas clone GA. GA . (GA) secagem individualmente outra eles LB30 LB BRS1216 BRS LB12 N7 N LB10 LB20 BRS322 AS 2551 25 51 25,51 1217 12 17 12,17% lado BG180 BG GJ30 GJ GJ20 AS7 AS10 P42 P P6 1915 19 15 19,15 1402 14 02 14,02% valores 194 4 19,4 627 62 7 62, 179 9 17,9 alto baixo (GA LB3 BRS121 LB1 LB2 BRS32 255 2 25,5 121 12,17 BG18 GJ3 GJ2 AS1 P4 191 19,1 140 0 14,02 19, 6 17, BRS12 BRS3 25, 12,1 BG1 14,0 BRS1 12, 14,

ABSTRACT: With advancements in coffee cultivation, several traits may be considered in selection of plants, which must exhibit a set of favorable characteristics. The outturn index, defined as the relationship between the mass of mature fruit and processed beans, emerges as a key factor influencing productivity. This study characterized the outturn over two harvests of 57 clones marketed in the public domain and 10 registered cultivars. The analysis considers the effects of genotypes, measurements, and genetic progress achieved through plant selection. According to the maturation cycle of each clone, washed samples of cherry coffee were collected considering a completely randomized factorial design for characterization of the effects of genotypes, years, and the genotype × years (GY) interaction. The drying, peeling, and the outturn index were individually assessed. Despite the significant effects of the GY interaction, genotypes demonstrated minimal alterations in their ranking across measurements. Clones with higher outturn, including LB30, BRS1216, LB12, N7, LB10, LB20, BRS3220, and AS5, exhibited an average outturn of 25.51%, reflecting a gain of 12.17%. Conversely, clones with lower outturn, such as BG180, GJ30, GJ20, AS7, AS10, P42, N1, and P60, had an average of 19.15%, indicating a reduction of 14.02% compared to the general mean. Analyzing the distribution of the outturn values, 19.4%, 62.7%, and 17.9% of genotypes were classified as high, medium, and low outturn, respectively, providing valuable insights for optimal cultivation strategies. ABSTRACT plants characteristics beans productivity 5 1 cultivars measurements clone (GY interaction drying peeling assessed LB30 LB BRS1216 BRS LB12 N7 N LB10 LB20 BRS3220 AS5 AS 2551 25 51 25.51% 1217 12 17 12.17% Conversely BG180 BG GJ30 GJ GJ20 AS7 AS10 P42 P N1 P60 1915 19 15 19.15% 1402 14 02 14.02 mean values 194 4 19.4% 627 62 7 62.7% 179 9 17.9 high medium respectively strategies LB3 BRS121 LB1 LB2 BRS322 255 2 25.51 121 12.17 BG18 GJ3 GJ2 AS1 P4 P6 191 19.15 140 0 14.0 19.4 6 62.7 17. BRS12 BRS32 25.5 12.1 BG1 19.1 14. 19. 62. BRS1 BRS3 25. 12.

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

ABSTRACT This study aimed to evaluate the beverage quality of Coffea canephora genotypes in different environments of the western Amazon to assist plant selection and new cultivar development. To analyze beverage quality, samples of cherry coffee beans were collected separately for each genotype from clonal competition trials installed in the municipalities of Ouro Preto do Oeste, Alta Floresta do Oeste, Porto Velho, and Ariquemes in Rondônia State and Rio Branco in Acre State (Brazil). The beverage quality was assessed using the Robusta Cupping Protocol, which attribute to each genotype a score in a range from 0 to 100, highlighting nuances. Analysis of variance and principal components using reference points were used to quantify genotype x environment interaction (G x E). The analysis of variance indicated that genotypic and G x E interaction effects were significant (p < 0.01). By using a centroid dispersion method, we could identify four clones of low, eight of specific (to favorable or unfavorable environments), and seven of broad adaptability to the environments. The clones BRS 2314, 11, and 17 had average quality scores above 80 in all environments, with potential for specialty coffee production. The clones BRS 1216, BRS 3220, and BRS 3193 presented unstable behavior, with beans of higher quality in some of the evaluated environments. Such inconsistency in clone behavior is caused by unpredictable changes in plant performance in different environments. Our results indicate that both genotypic (clones) and G x E interaction effects are important for the expression of coffee beverage quality. However, the clones BRS 3213, BRS 3210, and BRS 2299 had less prominent nuances, with lower potential for specialty coffee production.

Abstract Amazonian Robustas are ten new clones of high yield potential with characteristics typical of the botanical varieties conilon and robusta. With individual registration, the new cultivars were developed to be grown together with other clones, with flexibility of composition of the crops according to the preference of the producer.

Este trabalho foi realizado para determinar, entre seis índices de vegetação baseados em dados de refletância espectral, aquele que melhor discrimina doses de nitrogênio e que possui maior correlação com leituras de clorofila e massa seca do capim-tanzânia (Panicum maximum Jacq.). Os índices testados foram o NDVI (índice de vegetação por diferença normalizada, calculado utilizando a banda do vermelho e a banda do infravermelho próximo), VARI (índice resistente à atmosfera na região do visível, calculado utilizando a banda de transição do vermelho ao infravermelho e a banda do verde) e WDRVI (índice de vegetação de amplo alcance, calculado utilizando três coeficientes de ponderação, 0,05; 0,1 e 0,2). Foram avaliadas quatro doses de nitrogênio (0, 80, 160 e 320 kg/ha) em delineamento de blocos ao acaso com subamostras, com três repetições e três subamostras por bloco. Os índices VARI utilizando a banda de transição do vermelho ao infravermelho e o WDRVI utilizando os coeficientes 0,05 e 0,1 foram os melhores para discriminar as doses de nitrogênio aplicadas em todos os períodos de avaliação estudados. O índice que apresentou maior correlação com as leituras de clorofila e massa seca foi o VARI com banda de transição do vermelho ao infravermelho.

The objective of this study was to determine, among five vegetation indices, calculated based on spectral reflectance data, the one that best discriminated nitrogen rates, and presented highest correlation with chlorophyll readings and tanzania grass (Panicum maximum Jacq.) dry matter. The tested vegetation indices were NDVI (normalized difference vegetation index), VARI (visible atmospherically resistant index using red edge and green bands), WDRVI (wide dynamic range vegetation index using three weighted coefficients, 0.05, 0.1 and 0.2). Four nitrogen levels (0, 80, 160 and 320 kg/ha) were evaluated in a randomized complete block design with three replications and three subsamplings per block. The indices VARI, using red edge band, and WDRVI, using weighted coefficients 0.05 and 0.1, were the best indices to discriminate nitrogen rates. The index that presented the highest correlation with chlorophyll readings and dry matter was the VARI using red edge band.