Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Hongding, Gao"'
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:
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
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Genotype imputation from BeadChip to whole-genome sequencing (WGS) data is a cost-effective method of obtaining genotypes of WGS variants. Beagle, one of the most popular imputation software programs, has been widely used for genotype inference in hu
Externí odkaz:
https://doaj.org/article/f715856586534cbab18bcfed3a804e59
Autor:
Hongding Gao, Guosheng Su, Just Jensen, Per Madsen, Ole F. Christensen, Birgitte Ask, Bjarke G. Poulsen, Tage Ostersen, Bjarne Nielsen
Publikováno v:
Genetics Selection Evolution, Vol 53, Iss 1, Pp 1-12 (2021)
Abstract Background In breeding programs, recording large-scale feed intake (FI) data routinely at the individual level is costly and difficult compared with other production traits. An alternative approach could be to record FI at the group level si
Externí odkaz:
https://doaj.org/article/0ad144ca41ef4e5faf585b5748465991
Autor:
Hongding Gao, Per Madsen, Gert Pedersen Aamand, Jørn Rind Thomasen, Anders Christian Sørensen, Just Jensen
Publikováno v:
BMC Genomics, Vol 20, Iss 1, Pp 1-8 (2019)
Abstract Background After the extensive implementation of genomic selection (GS), the choice of the statistical model and data used to estimate variance components (VCs) remains unclear. A primary concern is that VCs estimated from a traditional pedi
Externí odkaz:
https://doaj.org/article/aa107512cca34ed5a789fc7f021c69d2
Autor:
Hongding Gao, Bjarne Nielsen, Guosheng Su, Per Madsen, Just Jensen, Ole F. Christensen, Tage Ostersen, Mahmoud Shirali
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 9, Iss 9, Pp 2935-2940 (2019)
The efficiency of feed utilization plays an important role in animal breeding. However, measuring feed intake (FI) is costly on an individual basis under practical conditions. Using group measurements to model FI could be practically feasible and cos
Externí odkaz:
https://doaj.org/article/2e41c75e650b4b4b814f205385f75d4d
Autor:
Jianbin Li, Hongding Gao, Per Madsen, Rongling Li, Wenhao Liu, Peng Bao, Guanghui Xue, Yundong Gao, Xueke Di, Guosheng Su
Publikováno v:
Frontiers in Genetics, Vol 11 (2020)
The random regression test-day model has become the most commonly adopted model for routine genetic evaluations in dairy populations, which allows accurately accounting for genetic and environmental effects over lactation. The objective of this study
Externí odkaz:
https://doaj.org/article/cf5d69f0388941289bd99d8cf9b400d1
Autor:
Peipei Ma, Ju Huang, Weijia Gong, Xiujin Li, Hongding Gao, Qin Zhang, Xiangdong Ding, Chonglong Wang
Publikováno v:
Journal of Animal Science and Biotechnology, Vol 9, Iss 1, Pp 1-6 (2018)
Abstract In genomic selection, prediction accuracy is highly driven by the size of animals in the reference population (RP). Combining related populations from different countries and regions or using a related population with large size of RP has be
Externí odkaz:
https://doaj.org/article/1c3d9d25bfc94ab0975c8243e5fd732d
Autor:
Dan Hao, Jiangsong Bai, Jianyong Du, Xiaoping Wu, Bo Thomsen, Hongding Gao, Guosheng Su, Xiao Wang
Publikováno v:
Metabolites, Vol 11, Iss 11, p 753 (2021)
Metabolomics has been applied to measure the dynamic metabolic responses, to understand the systematic biological networks, to reveal the potential genetic architecture, etc., for human diseases and livestock traits. For example, the current publishe
Externí odkaz:
https://doaj.org/article/0f84621cf3ba4477a18deab78e63a300
Publikováno v:
Animals, Vol 11, Iss 3, p 806 (2021)
The number of teats is related to the nursing ability of sows. In the present study, we conducted genome-wide association studies (GWAS) for traits related to teat number in Duroc pig population. Two mixed models, one for counted and another for bina
Externí odkaz:
https://doaj.org/article/f949bc1c361c478796b58318607a7327