Data/hora: 14/05/2024 22:40:49

Biblioteca(s): 	Embrapa Acre.	
Data corrente: 	16/06/2020	
Data da última atualização: 	28/06/2021	
Autoria: 	BERGO, C. L.; MIQUELONI, D. P.; LUNZ, A. M. P.; ASSIS, G. M. L. de.	
Afiliação: 	CELSO LUIS BERGO, CPAF-AC; Daniela Popim Miqueloni, Universidade Federal do Acre (Ufac); AURENY MARIA PEREIRA LUNZ, CPAF-AC; GISELLE MARIANO LESSA DE ASSIS, CPAF-AC.	
Título: 	Estimation of genetic parameters and selection of Coffea canephora progenies evaluated in Brazilian Western Amazon.	
Ano de publicação: 	2020	
Fonte/Imprenta: 	Coffee Science, v. 15, e151663, 2020.	
ISSN: 	1984-3909	
Idioma: 	Português	
Conteúdo: 	Coffee 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.	
Palavras-Chave: 	Acre; Amazonia Occidental; Amazônia Ocidental; Análisis estadístico; Café Conilon; Embrapa Acre; Ensayos de variedades; Fitomejoramiento; Método REML/BLUP; Mixed model; Modelo mixto; Prueba de progenie; Rio Branco (AC); Variación genética; Western Amazon.	
Thesagro: 	Análise Estatística; Café; Campo Experimental; Coffea Canephora; Comportamento de Variedade; Melhoramento Genético Vegetal; Parâmetro Genético; Teste de Progênie.	
Thesaurus Nal: 	Genetic variation; Plant breeding; Progeny testing; Statistical analysis; Variety trials.	
Categoria do assunto: 	G Melhoramento Genético	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/214007/1/27007.pdf	
Registro original: 	Embrapa Acre (CPAF-AC)	
Exemplares: 	CPAF-AC - (27007-1) - UPC - AP - DD -  -  -  - DIS