Data/hora: 04/06/2024 05:20:54

Biblioteca(s): | Embrapa Gado de Leite.
Tipo da produção científica: | Artigo em Periódico Indexado
Circulação/Nível: | A - 2
Data corrente: | 03/06/2023
Data da última atualização: | 03/06/2023
Autoria: | VIDAL, A. K. F.; DAHER, R. F.; AMBRÓSIO, M.; SANTANA, J. G. S.; FREITAS, R. S.; GRAVINA, G. de A.; RODRIGUES, E. V.; STIDA, W. F.; SOUZA, A. G. de; LEITE, C. L.; FARIAS, J. E. C.; RANGEL, L. H.; PEREIRA, A. V.
Afiliação: | ANA KESIA FARIA VIDAL, Universidade Estadual do Norte Fluminense Darcy Ribeiro; ROGÉRIO FIGUEIREDO DAHER, Universidade Estadual do Norte Fluminense Darcy Ribeiro; MOISES AMBRÓSIO, Universidade Estadual do Norte Fluminense Darcy Ribeiro; JOSEFA GRASIELA SILVA SANTANA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; RAFAEL SOUZA FREITAS, Universidade Estadual do Norte Fluminense Darcy Ribeiro; GERALDO DE AMARAL GRAVINA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; ERINA VITÓRIO RODRIGUES, Universidade de Brasília; WANESSA FRANCESCONI STIDA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; ALEXANDRE GOMES DE SOUZA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; CLEUDIANE LOPES LEITE, Universidade Estadual do Norte Fluminense Darcy Ribeiro; JOÃO ESDRAS CALAÇA FARIAS, Universidade Estadual do Norte Fluminense Darcy Ribeiro; LEANDRO HEITOR RANGEL, Universidade Estadual do Norte Fluminense Darcy Ribeiro; ANTONIO VANDER PEREIRA, CNPGL.
Título: | Estimation of repeatability and genotypic superiority of elephant grass half-sib families for energy purposes using mixed models.
Ano de publicação: | 2023
Fonte/Imprenta: | Scientia Agricola, v. 80, e20220103, 2023.
DOI: | http://doi.org/10.1590/1678-992X-2022-0103
Idioma: | Inglês
Conteúdo: | The mixed-model methodology is an alternative to select genotypes for traits highly influenced by the environment. In addition, this method allows FOR estimating the repeatability coefficient and predicting the number of assessments needed for a selection process to increase reliability. This study aimed to determine the minimum number of evaluations necessary for a reliable selection process and to estimate the variance components used for predicting genetic gains between and within half-sib families of elephant grass (Cenchrus purpureus (Schumach.) Morrone) using the mixed-model methodology. Half-sib families were generated using genotypes from the Active Germplasm Bank of Elephant Grass. The experiment was performed in a randomized block design with nine half-sib families, three replicates, and eight plants per plot. We evaluated 216 genotypes (individual plants) of elephant grass. The deviance analysis was carried out, genetic parameters were estimated, gains between and within families were predicted, and repeatability coefficients were obtained using Selegen software. There was genetic variability for selection within the families evaluated. The reliability values found above 60 % for plant height and number of tillers and above 80 % for dry matter yield suggest that only two evaluations are required to select superior genotypes with outstanding reliability. Sixteen genotypes were identified and selected for their productive potential, which can be used as parents in elephant grass breeding programs for bioenergy production.
Palavras-Chave: | Cenchrus purpureus; REML/BLUP.
Thesagro: | Bioenergia; Capim Elefante.
Categoria do assunto: | F Plantas e Produtos de Origem Vegetal
URL: | http://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1154202/1/Estimation-of-repeatability-and-genotypic-superiority-of-elephant-grass.pdf
Registro original: | Embrapa Gado de Leite (CNPGL)
Exemplares: | CNPGL - (26023-1) - UPC - AP - DD -  -  -  - DIS