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Comparison of different selection methods in the seedling stage of sugarcane breeding
Author(s) -
Cursi Danilo Eduardo,
Cox Mike C.,
de Oliveira Ai Carina,
Hoffmann Hermann Paulo,
Gazaffi Rodrigo,
Garcia Antonio Augusto Franco
Publication year - 2020
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.1002/agj2.20431
Subject(s) - best linear unbiased prediction , selection (genetic algorithm) , genetic gain , hectare , biology , microbiology and biotechnology , progeny testing , breeding program , saccharum , statistics , genetic variation , mathematics , agronomy , computer science , genetics , ecology , machine learning , cultivar , gene , agriculture
Family selection is an important procedure to be considered in the early stage of sugarcane ( Saccharum spp.) breeding. Different approaches are available, but few comparative studies are performed in practice. The aim of this study was to evaluate the potential genetic gain when different selection strategies at early sugarcane breeding stages are considered. Two experiments involving the first and second selection stages of the Sugarcane Breeding Program of RIDESA/UFSCar were performed. In the first stage, three selection methods based on the concept of selection between and within families were applied to predict the highest genetic gain, that is, BLUPi: simultaneously contemplates family and individual information for selection; BLUPis: promotes the dynamic allocation of individuals to be selected in each family; BLUP AUS : identifies high potential families and establishes differentiated selection intensities; additionally, mass and random selection methods were also performed. In the second stage, the selected clones were evaluated to compare the realized genetic gain. In the first stage, BLUP AUS had the highest predicted gain from selection ( P GS; 12.7%) in tonnes of Pol per hectare (TPH). The BLUPis was highly correlated with BLUP AUS and was efficient. Moreover, BLUPi proved to be economically impracticable since phenotypic evaluations must be performed at the individual level. Family selection via BLUP AUS was equivalent to mass selection probably due to the low coefficient of genetic variation (CV g ≤ 15) among the families. However, the family selection strategy provides extra information for breeders that cannot be ignored; the possibility of studying the combining ability of genotypes for identifying promising parents for future cross combinations.