We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Predictive approach to optimize the number of visual graders for indirect selection of high-yielding Urochloa ruziziensis genotypes.
- Authors
Oliveira Fonseca, Jales Mendes; Rodrigues Nunes, José Airton; Avelar Gonçalves, Flavia Maria; de Souza Sobrinho, Fausto; Gandolfi Benites, Flávio Rodrigo; LimaTeixeira, Davi Henrique
- Abstract
Forage plant breeders often use visual scores to assess agronomic traits because of the costs associated with in-depth phenotyping in the initial stages of breeding cycles. The aim of this study was to investigate the impact of the number of graders on the effectiveness of indirect selection of high-yielding genotypes and determine an optimal number of graders in the early-stage trials of Urochloa ruziziensis. For that purpose, five graders assessed 2.219 U. ruziziensis genotypes in an augmented block design. Biomass production and vigor scores were evaluated in two cuts and were analyzed using a linear mixed model approach. Vigor scores were analyzed considering each grader's score and the combinations of two, three, four, and five graders. Genetic variance was significant for both traits. Visual evaluation was effective in identifying productive genotypes based on the statistical criteria. The optimal number of graders for indirect selection of high-yielding U. ruziziensis genotypes is three.
- Subjects
SIGNALGRASS; GENOTYPES; SEXUAL cycle; BIOMASS production; PLANT breeders; FORAGE plants
- Publication
Crop Breeding & Applied Biotechnology, 2020, Vol 20, Issue 3, p1
- ISSN
1518-7853
- Publication type
Article
- DOI
10.1590/1984-70332020v20n3a48