Zobrazeno 1 - 10
of 707
pro vyhledávání: '"Strandén, A."'
Publikováno v:
Genetics Selection Evolution, Vol 56, Iss 1, Pp 1-10 (2024)
Abstract Background Methods for estimating variance components (VC) using restricted maximum likelihood (REML) typically require elements from the inverse of the coefficient matrix of the mixed model equations (MME). As genomic information becomes mo
Externí odkaz:
https://doaj.org/article/0986bc48e348498cb5eada06e516a113
Autor:
Ismo Strandén, Janez Jenko
Publikováno v:
Genetics Selection Evolution, Vol 56, Iss 1, Pp 1-10 (2024)
Abstract Background Regions of genome-wide marker data may have differing influences on the evaluated traits. This can be reflected in the genomic models by assigning different weights to the markers, which can enhance the accuracy of genomic predict
Externí odkaz:
https://doaj.org/article/1f5e977367ac47d6aeb90e268291766b
Publikováno v:
Journal of Early Childhood Education Research, Vol 13, Iss 3 (2024)
Tässä tutkimuksessa eritellään varhaiskasvatuksen tutkintokoulutusten tuottamaa osaamista ja osaamiselle jäsentyvää arvoa varhaiskasvatuksen ammattilaisten (N = 63) fokusryhmähaastatteluiden (N = 21) perusteella. Tutkimuksessa selvitetään,
Externí odkaz:
https://doaj.org/article/6e21437439754ca991428bd1333bc397
Publikováno v:
In Cold Regions Science and Technology January 2024 217
Publikováno v:
Genetics Selection Evolution, Vol 55, Iss 1, Pp 1-18 (2023)
Abstract Background The breeding value of a crossbred individual can be expressed as the sum of the contributions from each of the contributing pure breeds. In theory, the breeding value should account for segregation between breeds, which results fr
Externí odkaz:
https://doaj.org/article/757df0a7c52e4c9ebfbad9eb7794f47c
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Jeremie Vandenplas, Jan ten Napel, Saeid Naderi Darbaghshahi, Ross Evans, Mario P. L. Calus, Roel Veerkamp, Andrew Cromie, Esa A. Mäntysaari, Ismo Strandén
Publikováno v:
Genetics Selection Evolution, Vol 55, Iss 1, Pp 1-17 (2023)
Abstract Background Single-step genomic best linear unbiased prediction (ssGBLUP) models allow the combination of genomic, pedigree, and phenotypic data into a single model, which is computationally challenging for large genotyped populations. In pra
Externí odkaz:
https://doaj.org/article/bc05b2feb53840c686a037f33d99ef71
Autor:
Hafedh Ben Zaabza, Curtis P. Van Tassell, Jeremie Vandenplas, Paul VanRaden, Zengting Liu, Herwin Eding, Stephanie McKay, Katrine Haugaard, Martin H. Lidauer, Esa A. Mäntysaari, Ismo Strandén
Publikováno v:
Journal of Dairy Science, Vol 106, Iss 3, Pp 1518-1532 (2023)
ABSTRACT: The calculation of exact reliabilities involving the inversion of mixed model equations poses a heavy computational challenge when the system of equations is large. This has prompted the development of different approximation methods. We gi
Externí odkaz:
https://doaj.org/article/0f232815be8747e28f17efd1d7e26098
Autor:
Hongding Gao, Andrei A. Kudinov, Matti Taskinen, Timo J. Pitkänen, Martin H. Lidauer, Esa A. Mäntysaari, Ismo Strandén
Publikováno v:
Genetics Selection Evolution, Vol 55, Iss 1, Pp 1-14 (2023)
Abstract Background In this study, computationally efficient methods to approximate the reliabilities of genomic estimated breeding values (GEBV) in a single-step genomic prediction model including a residual polygenic (RPG) effect are described. In
Externí odkaz:
https://doaj.org/article/4d29456e682c488aa091ee9dd5f550ff
Autor:
Ben Zaabza, Hafedh *, Van Tassell, Curtis P., Vandenplas, Jeremie, VanRaden, Paul, Liu, Zengting, Eding, Herwin, McKay, Stephanie, Haugaard, Katrine, Lidauer, Martin H., Mäntysaari, Esa A., Strandén, Ismo
Publikováno v:
In Journal of Dairy Science March 2023 106(3):1518-1532