Zobrazeno 1 - 8
of 8
pro vyhledávání: '"finite locus models"'
Publikováno v:
Genetics Selection Evolution, Vol 36, Iss 4, Pp 395-414 (2004)
Abstract For a finite locus model, Markov chain Monte Carlo (MCMC) methods can be used to estimate the conditional mean of genotypic values given phenotypes, which is also known as the best predictor (BP). When computationally feasible, this type of
Externí odkaz:
https://doaj.org/article/779a2cebb5884107b63841b298acd6d7
Publikováno v:
Genetics Selection Evolution, Vol 35, Iss 7, Pp 585-604 (2003)
Abstract An increased availability of genotypes at marker loci has prompted the development of models that include the effect of individual genes. Selection based on these models is known as marker-assisted selection (MAS). MAS is known to be efficie
Externí odkaz:
https://doaj.org/article/531d385d75bb466585489fe82ae89fc2
Autor:
Rohan L. Fernando, Soledad Fernandez, Jack C. M. Dekkers, Liviu R. Totir, Bernt Guldbrandtsen
Publikováno v:
Genetics, Selection, Evolution : GSE
Totir, L R, Fernando, R L, Dekkers, J C M, Fernandez, S A & Guldbrandtsen, B 2003, ' A comparison of alternative methods to compute conditional genotype probabilities for genetic evaluation with finite locus models ', Genetics Selection Evolution, vol. 35, 585, pp. 585-604 . https://doi.org/10.1051/gse:2003041
Genetics Selection Evolution, Vol 35, Iss 7, Pp 585-604 (2003)
Totir, L R, Fernando, R L, Dekkers, J C M, Fernandez, S A & Guldbrandtsen, B 2003, ' A comparison of alternative methods to compute conditional genotype probabilities for genetic evaluation with finite locus models ', Genetics Selection Evolution, vol. 35, 585, pp. 585-604 . https://doi.org/10.1051/gse:2003041
Genetics Selection Evolution, Vol 35, Iss 7, Pp 585-604 (2003)
An increased availability of genotypes at marker loci has prompted the development of models that include the effect of individual genes. Selection based on these models is known as marker-assisted selection (MAS). MAS is known to be efficient especi
Publikováno v:
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2003, 35 (6), pp.585-604. ⟨10.1051/gse:2003041⟩
Genetics Selection Evolution, BioMed Central, 2003, 35 (6), pp.585-604. ⟨10.1051/gse:2003041⟩
International audience; An increased availability of genotypes at marker loci has prompted the development of models that include the effect of individual genes. Selection based on these models is known as marker-assisted selection (MAS). MAS is know
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b3073593056986cafc82068108aefae2
https://hal.archives-ouvertes.fr/hal-00894464
https://hal.archives-ouvertes.fr/hal-00894464
Publikováno v:
Theoretical and Applied Genetics, 90, 627-635
Theoretical and Applied Genetics 90 (1995)
Theoretical and Applied Genetics 90 (1995)
Selection for production tends to decrease fitness, in particular, major components such as reproductive performance. Under an infinitesimal genetic model restricted index selection can maintain reproductive performance while improving production. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65ccabc74ecfeb37f78ed5cfffbc2e2d
https://research.wur.nl/en/publications/genetic-improvement-of-production-while-maintaining-fitness
https://research.wur.nl/en/publications/genetic-improvement-of-production-while-maintaining-fitness
Publikováno v:
Genetics Selection Evolution, Vol 36, Iss 4, Pp 395-414 (2004)
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2004, 36 (4), pp.395-414. ⟨10.1051/gse:2004008⟩
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2004, 36 (4), pp.395-414. ⟨10.1051/gse:2004008⟩
Genetics, Selection, Evolution : GSE
International audience; For a finite locus model, Markov chain Monte Carlo (MCMC) methods can be used to estimate the conditional mean of genotypic values given phenotypes, which is also known as the best predictor (BP). When computationally feasible
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.