Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Torsten Pook"'
Autor:
Tobias A. M. Niehoff, Jan ten Napel, Piter Bijma, Torsten Pook, Yvonne C. J. Wientjes, Bernadett Hegedűs, Mario P. L. Calus
Publikováno v:
Genetics Selection Evolution, Vol 56, Iss 1, Pp 1-24 (2024)
Abstract Background Breeding programs are judged by the genetic level of animals that are used to disseminate genetic progress. These animals are typically the best ones of the population. To maximise the genetic level of very good animals in the nex
Externí odkaz:
https://doaj.org/article/f1704080656b44319bf5cf9e4719328e
Autor:
Yan-Cheng Lin, Manfred Mayer, Daniel Valle Torres, Torsten Pook, Armin C. Hölker, Thomas Presterl, Milena Ouzunova, Chris-Carolin Schön
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Genomic prediction (GP) using haplotypes is considered advantageous compared to GP solely reliant on single nucleotide polymorphisms (SNPs), owing to haplotypes’ enhanced ability to capture ancestral information and their higher linkage disequilibr
Externí odkaz:
https://doaj.org/article/0f16827375ff4ceb94f6435db6f250e0
Autor:
Henner Simianer, Johannes Heise, Stefan Rensing, Torsten Pook, Johannes Geibel, Christian Reimer
Publikováno v:
Genetics Selection Evolution, Vol 55, Iss 1, Pp 1-12 (2023)
Abstract Background This paper highlights the relationships between economic weights, genetic progress, and phenotypic progress in genomic breeding programs that aim at generating genetic progress in complex, i.e., multi-trait, breeding objectives vi
Externí odkaz:
https://doaj.org/article/7b4ea80433f34f13b21e2efa888cd264
Autor:
Alexander Freudenberg, Jeremie Vandenplas, Martin Schlather, Torsten Pook, Ross Evans, Jan Ten Napel
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
In the last decade, a number of methods have been suggested to deal with large amounts of genetic data in genomic predictions. Yet, steadily growing population sizes and the suboptimal use of computational resources are pushing the practical applicat
Externí odkaz:
https://doaj.org/article/e6092cfa555147debdfb86e45e4ae2bc
Publikováno v:
Genetics Selection Evolution, Vol 54, Iss 1, Pp 1-13 (2022)
Abstract Background Genotype imputation is a cost-effective method to generate sequence-level genotypes for a large number of animals. Its application can improve the power of genomic studies, provided that the accuracy of imputation is sufficiently
Externí odkaz:
https://doaj.org/article/27b2d9d6f0614b34b7bb9bf3aad2c639
Publikováno v:
Animals, Vol 13, Iss 22, p 3476 (2023)
Strong differences between the selection (indoor fattening) and production environment (pasture fattening) are expected to reduce genetic gain due to possible genotype-by-environment interactions (G × E). To investigate how to adapt a sheep breeding
Externí odkaz:
https://doaj.org/article/529a935565ce4263ae12926e6e996814
Autor:
Elaheh Vojgani, Armin C Hölker, Manfred Mayer, Chris-Carolin Schön, Henner Simianer, Torsten Pook
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0282288 (2023)
The importance of accurate genomic prediction of phenotypes in plant breeding is undeniable, as higher prediction accuracy can increase selection responses. In this regard, epistasis models have shown to be capable of increasing the prediction accura
Externí odkaz:
https://doaj.org/article/96826e3b48494beca6715d8afa74a2a9
Publikováno v:
The Plant Genome, Vol 15, Iss 4, Pp n/a-n/a (2022)
Abstract Low‐density genotyping followed by imputation reduces genotyping costs while still providing high‐density marker information. An increased marker density has the potential to improve the outcome of all applications that are based on geno
Externí odkaz:
https://doaj.org/article/e2186ac4b1ff4fda8d3d00135223a65a
Autor:
Johannes Geibel, Christian Reimer, Torsten Pook, Steffen Weigend, Annett Weigend, Henner Simianer
Publikováno v:
BMC Genomics, Vol 22, Iss 1, Pp 1-13 (2021)
Abstract Background Population genetic studies based on genotyped single nucleotide polymorphisms (SNPs) are influenced by a non-random selection of the SNPs included in the used genotyping arrays. The resulting bias in the estimation of allele frequ
Externí odkaz:
https://doaj.org/article/f6e0289ba6514f0e939e14e34b061b1a
Autor:
Giulio Mangino, Andrea Arrones, Mariola Plazas, Torsten Pook, Jaime Prohens, Pietro Gramazio, Santiago Vilanova
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Multi-parent advanced generation inter-cross (MAGIC) populations facilitate the genetic dissection of complex quantitative traits in plants and are valuable breeding materials. We report the development of the first eggplant MAGIC population (S3 Magi
Externí odkaz:
https://doaj.org/article/4b66e40588304b7d86207fdf73acf45a