Applications of linear mixed models in Cynodon spp. breeding
Arthur Mayrink Elizeu, Marco Antônio Peixoto, Jeniffer Santana Pinto Coelho Evangelista, Saulo Fabrício da Silva Chaves, Emanuel Ferrari Nascimento, Flávio Benites, Paulo Eduardo Teodoro, Kaio Olimpio das Gracas Dias and Leonardo Lopes Bhering
Abstract: Species of the genus Cynodon are among the most cultivated forage crops in the world due to their high yield and nutritional quality, and its use in cattle feeding has been associated with gains in animal weight and increased milk production. The objective of this study was to model covariance structures in Cynodon spp. clones and study the changes in ranking of the selected genotypes, since it is believed that affects the ranking of genotypes. A total of 202 genotypes were evaluated in an experiment conducted in an augmented block design with four replications and four harvests. The genotypes were assessed for plant height, green weight, percentage of dry matter, and plant vigor. Nineteen repeated measures models with different covariance structures were tested. The best-fitted model adopts the CORH covariance structure for the genetic effects. Correct modeling of the covariance structure affected the ranking of genotypes in all variables evaluated.