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Population size in QTL detection using quantile regression in genome-wide association studies.

Autor: Oliveira GF; Department of Statistics, Federal University of Viçosa, Av. Peter Henry Rolfs, S/N, Campus Universitário, 36570.900, Viçosa, Minas Gerais, Brazil. gabriela.franca@ufv.br., Nascimento ACC; Department of Statistics, Federal University of Viçosa, Av. Peter Henry Rolfs, S/N, Campus Universitário, 36570.900, Viçosa, Minas Gerais, Brazil., Azevedo CF; Department of Statistics, Federal University of Viçosa, Av. Peter Henry Rolfs, S/N, Campus Universitário, 36570.900, Viçosa, Minas Gerais, Brazil., de Oliveira Celeri M; Department of Statistics, Federal University of Viçosa, Av. Peter Henry Rolfs, S/N, Campus Universitário, 36570.900, Viçosa, Minas Gerais, Brazil., Barroso LMA; Federal Institute of Education, Science and Technology of Mato Grosso, Sorriso, Mato Grosso, Brazil., de Castro Sant'Anna I; Rubber Tree and Agroforestry Systems Research Center, Campinas Agronomy Institute (IAC), Votuporanga, São Paulo, Brazil., Viana JMS; Department of General Biology, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil., de Resende MDV; Brazilian Agricultural Research Corporation, Embrapa Coffee, Brasília, DF, Brazil., Nascimento M; Department of Statistics, Federal University of Viçosa, Av. Peter Henry Rolfs, S/N, Campus Universitário, 36570.900, Viçosa, Minas Gerais, Brazil.

Publikováno v: Scientific reports [Sci Rep] 2023 Jun 13; Vol. 13 (1), pp. 9585. Date of Electronic Publication: 2023 Jun 13.