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Title: Genetic progress in upland rice breeding program for grain yield and plant height
Other Titles: Progresso genético em programa de melhoramento de arroz de terras altas para produtividade de grãos e altura de plantas
Keywords: Oryza sativa L
Variance components
Mixed models
Componentes de variância
Modelos mistos
Issue Date: 2021
Publisher: Universidade Federal de Lavras
Citation: MOURA, A. M. de et al. Genetic progress in upland rice breeding program for grain yield and plant height. Ciência e Agrotecnologia, Lavras, 2021.
Abstract: In the context of plant breeding programs, it is necessary to evaluate the efficiency of genotype selection over successive years. However, evaluating the genotype selection efficiency is not an easy task, since there is not just a single way to precede it. Besides that, the programs need to be dynamic; that is, they should be able to track the introduction and discard of genotypes each year. As a result, the available data is quite unbalanced, leading to difficulties in certain analyses. Thus, the present study aims to propose some approaches to verify the genetic progress in the preliminary trial of the Federal University of Lavras (UFLA) upland rice breeding program. We utilized mixed models for grain yield and plant height. Trials were performed with a total of 120 genotypes in seven environments, defined by the interaction between locations and years. Due to the imbalance in the available data, the mixed model approach, i.e., Restricted Maximum Likelihood/ Best Linear Unbiased Prediction (REML/BLUP), was adopted for the joint analysis. Besides the genetic and phenotypic parameters, the expected gains were also obtained with the selection, genetic progress, renewal rate (RR%), and dynamism of preliminary trials. The efficiency of the selection of superior genotypes per year was verified, with genetic progress favorable for reducing the medium-sized plants associated with high yield
Appears in Collections:DAG - Artigos publicados em periódicos

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