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- Title
Estimation of repeatability and genotypic superiority of elephant grass half-sib families for energy purposes using mixed models.
- Authors
Faria Vidal, Ana Kesia; Figueiredo Daher, Rogério; Ambrósio, Moises; Silva Santana, Josefa Grasiela; Souza Freitas, Rafael; de Amaral Gravina, Geraldo; Vitório Rodrigues, Erina; Francesconi Stida, Wanessa; Gomes de Souza, Alexandre; Lopes Leite, Cleudiane; Calaça Farias, João Esdras; Heitor Rangel, Leandro; Vander Pereira, Antônio
- Abstract
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.
- Subjects
CENCHRUS purpureus; ENERGY consumption; GENOTYPES; STATISTICAL reliability; GENETIC variation
- Publication
Scientia Agricola, 2023, Vol 80, p1
- ISSN
0103-9016
- Publication type
Article
- DOI
10.1590/1678-992X-2022-0103