02871naa a2200505 a 450000100080000000500110000800800410001902200140006010000170007424501430009126000090023452014100024365000220165365000190167565000200169465000250171465000190173965000260175865000100178465000230179465000210181765000310183865000350186965000250190465000230192965300090195265300240196165300240198565300270200965300180203665300170205465300260207165300210209765300220211865300160214065300170215665300230217365300200219665300250221665300190224170000210226070000190228170000230230077300420232321233012021-06-28 2020 bl uuuu u00u1 u #d a1984-39091 aBERGO, C. L. aEstimation of genetic parameters and selection of Coffea canephora progenies evaluated in Brazilian Western Amazon.h[electronic resource] c2020 aCoffee has emerged as an economic alternative culture in the State of Acre, Brazil, but without a clonal variety recommended for the state to overcome the unevenness presented by seed crops. Thus, in order to estimate genetic parameters and indicate progenies of Coffea canephora to compose a clonal variety for the State of Acre, yield, vegetative vigor and plant height were evaluated in five harvests of a randomized complete block experiment with 46 progenies, 4 repetitions and 10 plants per plot by mixed model methodology (REML/BLUP). The harvests were evaluated individually, by the model that considers one harvest, one location and the mean of progenies, and joint analysis (all harvests), by repeatability model with stability and temporal adaptability by the harmonic mean of relative performance of genotypic values method (MHPRVG), with genotypic values of progenies grouped by the Tocher method. There was variability, with possibility of selection, only for grain yield. The yield was strongly affected by production bienniality, with high environmental influence and harvests mean ranging from 14.13±4.60 to 46.20±14.94 bags ha-1 and individual heritabilities from 0.10 to 0.44. Sixteen ?Conilon? coffee progenies with selection gains above 23% were selected. The MHPRVG method allows the refinement of progeny selection throughout the harvests, identifying the most adapted and stable. aGenetic variation aPlant breeding aProgeny testing aStatistical analysis aVariety trials aAnálise Estatística aCafé aCampo Experimental aCoffea Canephora aComportamento de Variedade aMelhoramento Genético Vegetal aParâmetro Genético aTeste de Progênie aAcre aAmazonia Occidental aAmazônia Ocidental aAnálisis estadístico aCafé Conilon aEmbrapa Acre aEnsayos de variedades aFitomejoramiento aMétodo REML/BLUP aMixed model aModelo mixto aPrueba de progenie aRio Branco (AC) aVariación genética aWestern Amazon1 aMIQUELONI, D. P.1 aLUNZ, A. M. P.1 aASSIS, G. M. L. de tCoffee Sciencegv. 15, e151663, 2020.