Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Arnaud Desbiez"'
Autor:
Fernando Fernandez, Caroline Leuchtenberger, Valquíria Araújo, Antonio Barbosa, Gonzalo Barquero, Christine Bernardo, Arnaud Desbiez, Daniel Felippi, Maron Galliez, Mariane Kaizer, Vanessa Kanaan, Mariana Landis, Fabiana Lopes-Rocha, Camile Lugarini, Paulo Mangini, Joares May-Junior, Fabiano Melo, Everton Miranda, Fabio Nunes, Marcos Oliveira, Rogério Paula, Denise Rambaldi, Lara Renzeti, Carlos Ruiz-Miranda, Elenise Sipinski, Marina Somenzari, Mônica Valença-Montenegro, Marcelo Rheingantz
Publikováno v:
Oryx, Vol 58, Pp 283-283 (2024)
Externí odkaz:
https://doaj.org/article/fdfdfdcf2b274bd59406fc847df4db61
Autor:
Arnaud Desbiez-Piat, Adrienne Ressayre, Elodie Marchadier, Alicia Noly, Aurélie Bourgais, Nathalie Galic, Martine Le Guilloux, Maud I. Tenaillon, Christine Dillmann
Empirical description of phenotypic shifts in selection experiments have nourished quantitative genetics models. These models have shown that long-term selection responses depend both on the initial standing variance as well as the flux of incoming m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04adcfa31ce21d9201047ccc2e23fcf5
https://doi.org/10.1101/2023.01.13.523786
https://doi.org/10.1101/2023.01.13.523786
Publikováno v:
Genetics
Genetics, 2021, 219 (2), pp.iyab123. ⟨10.1093/genetics/iyab123⟩
Genetics, 2021, 219 (2), pp.iyab123. ⟨10.1093/genetics/iyab123⟩
Population and quantitative genetic models provide useful approximations to predict long-term selection responses sustaining phenotypic shifts, and underlying multilocus adaptive dynamics. Valid across a broad range of parameters, their use for under
Autor:
Danilo Kluyber, Arnaud Desbiez, Nina Attias, Gabriel Massocato, Solange Gennari, Herbert Soares, Eduardo Bagagli, Sandra Bosco, Hans Garces, Jessica Ferreira, Amanda Fontes, Philip Suffys, Luciana Meireles, Expedito Luna, Ana Jansen, Andr Roque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab3c05415d9b364c55bb754475af152b
https://doi.org/10.22541/au.159493184.44893872
https://doi.org/10.22541/au.159493184.44893872