REML/BLUP methodology for selection intraspecific hybrids of Paspalum notatum Flügge by multivariate analysis

Abstract

The Paspalum genus has potential for further genetic improvement because of its adaptability to different ecosystems and production of high yields for grazing livestock. We estimate the genetic parameters of 195 intraspecific P. notatum hybrids using Restricted Maximum Likelihood (REML), followed by selection based on Best Linear Unbiased Prediction (BLUP) through multivariate analysis. The intraspecific hybrids studied showed considerable genetic variability in the evaluated forage traits, displaying their potential for progression in subsequent stages of the genetic improvement program.Notably, plant height emerged as an important trait for indirect selection to enhance forage production. The use of the REML/BLUP procedure proves to be a robust tool for data analysis, particularly for perennial species. Furthermore, multivariate analysis based on BLUPs should be used in the selection process within breeding programs.Based on the BLUP values, hybrids D3, D16, C17, C2 and B17 were identified as superior for forage production, and they hold promise for future breeding programs for future breeding initiatives aimed at direct selection to improve yield.

Genetic parameters, prediction of selection gains and genetic diversity in Andropogon lateralis Nees ecotypes

“…Studies that can characterize genetic diversity are important for the conservation and use of genetic resources in breeding programs (Oliveira Neto et al, 2021). In native perennial species, when the objective is to select progenitors, the use of mixed models is a strategy to improve selection efficiency (Meier et al, 2021;Silveira et al, 2022;Silveira et al, 2023). The efficiency and success of a breeding program is directly related to the time required to obtain genetic gains (Hernández-Castro et al, 2021) and commercialize an improved cultivar for market release.…”