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Author Guosheng Su

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Short communication: investigation of the feasibility of genomic selection in Icelandic Cattle.

Egill Gautason, Goutam Sahana, Guosheng Su, Baldur Helgi Benjamínsson, Guðmundur Jóhannesson, Bernt Guldbrandtsen,

Icelandic Cattle is a local dairy cattle breed in Iceland. With about 26,000 breeding females, it is by far the largest among the indigenous Nordic cattle breeds. The objective of this study was to investigate the feasibility of genomic selection in Icelandic Cattle. Pedigree-based best linear unbiased prediction (PBLUP) and ... Read more >>

J Anim Sci (Journal of animal science)
[2021, 99(7):]

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Genetic parameters of semen quality traits and genetic correlations with service sire nonreturn rate in Nordic Holstein bulls.

Grum Gebreyesus, Mogens S Lund, Kasia Kupisiewicz, Guosheng Su,

Despite the importance of the quality of semen used in artificial insemination to the reproductive success of dairy herds, few studies have estimated the extent of genetic variability in semen quality traits. Even fewer studies have quantified the correlation between semen quality traits and male fertility. In this study, records ... Read more >>

J Dairy Sci (Journal of dairy science)
[2021, :]

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Genomic prediction using a reference population of multiple pure breeds and admixed individuals.

Emre Karaman, Guosheng Su, Iola Croue, Mogens S Lund,

<h4>Background</h4>In dairy cattle populations in which crossbreeding has been used, animals show some level of diversity in their origins. In rotational crossbreeding, for instance, crossbred dams are mated with purebred sires from different pure breeds, and the genetic composition of crossbred animals is an admixture of the breeds included in ... Read more >>

Genet Sel Evol (Genetics, selection, evolution : GSE)
[2021, 53(1):46]

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Long-Term Impact of Conventional and Optimal Contribution Conservation Methods on Genetic Diversity and Genetic Gain in Chinese Indigenous Pig Breeds

Qingbo Zhao, Huiming Liu, Qamar Raza Qadri, Qishan Wang, Yuchun Pan, Guosheng Su,

<h4>Background: </h4> China has rich and vast genetic resources of indigenous pig breeds. Currently, great attention is paid to either crossbreeding or conservation of these indigenous pig breeds, and insufficient attention is paid to the combination of conservation and breeding along with their long-term effects on genetic diversity. The genetic ... Read more >>

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Modelling and prediction of cutting temperature in the machining of H13 hard steel of multi-layer coated cutting tools

Jingjie Zhang, Zhanqiang Liu, Chonghai Xu, Jin Du, Guosheng Su, Peirong Zhang, Xiangfei Meng,

The coating effect on the cutting temperature has long been a hot topic in understanding heat transfer mechanism in machining coated tools, and especially the multi-layer coated tools. For multi-layer coated tools, the coating structure, coating thickness and coating material will affect the cutting temperature of the tool. This paper ... Read more >>

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Pig genome functional annotation enhances biological interpretations of complex traits and comparative epigenomics

Huaijun Zhou, Zhangyuan Pan, Yuelin Yao, Hongwei Ying, Zexi Cai, Ying Wang, Lijing Bai, Colin Kern, Michelle Halstead, Kelly Chanthavixay, Nares Trakooljul, Klaus Wimmers, Goutam Sahana, Guosheng Su, Mogens Sandø Lund, Merete Fredholm, Peter Karlskov-Mortensen, Catherine Ernst, Pablo Ross, Christopher Tuggle, Lingzhao Fang,

The functional annotation of livestock genomes is crucial for understanding the molecular mechanisms that underpin complex traits of economic importance, adaptive evolution and comparative genomics. Here, we provide the most comprehensive catalogue to date of regulatory elements in the pig (Sus scrofa) by integrating 223 epigenomic and transcriptomic data sets, ... Read more >>

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Genomic Prediction Using Bayesian Regression Models With Global-Local Prior.

Shaolei Shi, Xiujin Li, Lingzhao Fang, Aoxing Liu, Guosheng Su, Yi Zhang, Basang Luobu, Xiangdong Ding, Shengli Zhang,

Bayesian regression models are widely used in genomic prediction for various species. By introducing the global parameter τ, which can shrink marker effects to zero, and the local parameter λ <sub><i>k</i></sub> , which can allow markers with large effects to escape from the shrinkage, we developed two novel Bayesian models, ... Read more >>

Front Genet (Frontiers in genetics)
[2021, 12:628205]

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Genetic Parameters and Genome-Wide Association Studies of Eight Longevity Traits Representing Either Full or Partial Lifespan in Chinese Holsteins.

Hailiang Zhang, Aoxing Liu, Yachun Wang, Hanpeng Luo, Xinyi Yan, Xiangyu Guo, Xiang Li, Lin Liu, Guosheng Su,

Due to the complexity of longevity trait in dairy cattle, two groups of trait definitions are widely used to measure longevity, either covering the full lifespan or representing only a part of it to achieve an early selection. Usually, only one group of longevity definition is used in breeding program ... Read more >>

Front Genet (Frontiers in genetics)
[2021, 12:634986]

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Genetic parameters and genomic prediction for feed intake recorded at the group and individual level in different production systems for growing pigs.

Hongding Gao, Guosheng Su, Just Jensen, Per Madsen, Ole F Christensen, Birgitte Ask, Bjarke G Poulsen, Tage Ostersen, Bjarne Nielsen,

<h4>Background</h4>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 since animals such as pigs are normally housed in groups and fed by a shared ... Read more >>

Genet Sel Evol (Genetics, selection, evolution : GSE)
[2021, 53(1):33]

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Finite Element Investigation of Cutting Performance of Cr/W-DLC/DLC Composite Coated Cutting Tool

Tianmei Hao, Jin Du, Xue Zhang, Guosheng Su, Peirong Zhang, Yujing Sun, Jingjie Zhang, Chonghai Xu,

Coupled with a thermo-mechanical metal cutting process, rapid tool wear, higher surface roughness and mass heat are caused by the rapid plastic deformation of the workpiece and by the friction along the tool-chip interface. This phenomenon is more predominant in the machining of difficult-to-cut materials. DLC film has been applied ... Read more >>

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Genomic selection in American mink (Neovison vison) using a single-step genomic best linear unbiased prediction model for size and quality traits graded on live mink.

Trine M Villumsen, Guosheng Su, Bernt Guldbrandtsen, Torben Asp, Mogens S Lund,

Genomic selection relies on single-nucleotide polymorphisms (SNPs), which are often collected using medium-density SNP arrays. In mink, no such array is available; instead, genotyping by sequencing (GBS) can be used to generate marker information. Here, we evaluated the effect of genomic selection for mink using GBS. We compared the estimated ... Read more >>

J Anim Sci (Journal of animal science)
[2021, 99(1):]

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Correction: Prediction of breeding values for group-recorded traits including genomic information and an individually recorded correlated trait.

Xiang Ma, Ole F Christensen, Hongding Gao, Ruihua Huang, Bjarne Nielsen, Per Madsen, Just Jensen, Tage Ostersen, Pinghua Li, Mahmoud Shirali, Guosheng Su,

Heredity (Edinb) (Heredity)
[2021, 126(1):218]

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Impact of the Order of Legendre Polynomials in Random Regression Model on Genetic Evaluation for Milk Yield in Dairy Cattle Population.

Jianbin Li, Hongding Gao, Per Madsen, Rongling Li, Wenhao Liu, Peng Bao, Guanghui Xue, Yundong Gao, Xueke Di, Guosheng Su,

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 was to explore appropriate random regression test-day models for genetic evaluation of milk yield in ... Read more >>

Front Genet (Frontiers in genetics)
[2020, 11:586155]

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Phenotypically Selective Genotyping Realizes More Genetic Gains in a Rainbow Trout Breeding Program in the Presence of Genotype-by-Environment Interactions.

Thinh Tuan Chu, Anders Christian Sørensen, Mogens Sandø Lund, Kristian Meier, Torben Nielsen, Guosheng Su,

Selective genotyping of phenotypically superior animals may lead to bias and less accurate genomic breeding values (GEBV). Performing selective genotyping based on phenotypes measured in the breeding environment (B) is not necessarily a good strategy when the aim of a breeding program is to improve animals' performance in the commercial ... Read more >>

Front Genet (Frontiers in genetics)
[2020, 11:866]

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Impact of phenotypic information and composition of reference population on genomic prediction in fish under the presence of genotype by environment interaction

Guosheng Su, A Christian Sørensen, Thinh Tuan Chu, Kristian Meier, Torben Nielsen, Mogens Sandø Lund,

The difficulty or high cost to register pedigree and the presence of genotype by environment interaction (G×E) are the factors limiting conventional selective breeding in aquaculture. The limitation could be overcome by genomic selection. The objective of this study was to investigate the impact of phenotypic information and composition of ... Read more >>

Aquaculture (Aquaculture (Amsterdam, Netherlands))
[2020, 526:Not Available]

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Weighted single-step genomic best linear unbiased prediction integrating variants selected from sequencing data by association and bioinformatics analyses.

Aoxing Liu, Mogens Sandø Lund, Didier Boichard, Emre Karaman, Bernt Guldbrandtsen, Sebastien Fritz, Gert Pedersen Aamand, Ulrik Sander Nielsen, Goutam Sahana, Yachun Wang, Guosheng Su,

<h4>Background</h4>Sequencing data enable the detection of causal loci or single nucleotide polymorphisms (SNPs) highly linked to causal loci to improve genomic prediction. However, until now, studies on integrating such SNPs using a single-step genomic best linear unbiased prediction (ssGBLUP) model are scarce. We investigated the integration of sequencing SNPs selected ... Read more >>

Genet Sel Evol (Genetics, selection, evolution : GSE)
[2020, 52(1):48]

Cited: 3 times

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Prediction of breeding values for group-recorded traits including genomic information and an individually recorded correlated trait.

Xiang Ma, Ole F Christensen, Hongding Gao, Ruihua Huang, Bjarne Nielsen, Per Madsen, Just Jensen, Tage Ostersen, Pinghua Li, Mahmoud Shirali, Guosheng Su,

Records on groups of individuals could be valuable for predicting breeding values when a trait is difficult or costly to measure on single individuals, such as feed intake and egg production. Adding genomic information has shown improvement in the accuracy of genetic evaluation of quantitative traits with individual records. Here, ... Read more >>

Heredity (Edinb) (Heredity)
[2021, 126(1):206-217]

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Imputation for sequencing variants preselected to a customized low-density chip.

Aoxing Liu, Mogens Sandø Lund, Didier Boichard, Xiaowei Mao, Emre Karaman, Sebastien Fritz, Gert Pedersen Aamand, Yachun Wang, Guosheng Su,

The sequencing variants preselected from association analyses and bioinformatics analyses could improve genomic prediction. In this study, the imputation of sequencing SNPs preselected from major dairy breeds in Denmark-Finland-Sweden (DFS) and France (FRA) was investigated for both contemporary animals and old bulls in Danish Jersey. For contemporary animals, a two-step ... Read more >>

Sci Rep (Scientific reports)
[2020, 10(1):9524]

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Novel approach to incorporate information about recessive lethal genes increases the accuracy of genomic prediction for mortality traits.

Grum Gebreyesus, Goutam Sahana, A Christian Sørensen, Mogens S Lund, Guosheng Su,

The genetic underpinnings of calf mortality can be partly polygenic and partly due to deleterious effects of recessive lethal alleles. Prediction of the genetic merits of selection candidates should thus take into account both genetic components contributing to calf mortality. However, simultaneously modeling polygenic risk and recessive lethal allele effects ... Read more >>

Heredity (Edinb) (Heredity)
[2020, 125(3):155-166]

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Correction to: A bivariate genomic model with additive, dominance and inbreeding depression effects for sire line and three-way crossbred pigs.

Ole F Christensen, Bjarne Nielsen, Guosheng Su, Tao Xiang, Per Madsen, Tage Ostersen, Ingela Velander, Anders B Strathe,

An amendment to this paper has been published and can be accessed via the original article. ... Read more >>

Genet Sel Evol (Genetics, selection, evolution : GSE)
[2020, 52(1):23]

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Correction: Multi-trait single-step genomic prediction accounting for heterogeneous (co)variances over the genome.

Emre Karaman, Mogens S Lund, Guosheng Su,

An amendment to this paper has been published and can be accessed via a link at the top of the paper. ... Read more >>

Heredity (Edinb) (Heredity)
[2020, 124(4):618]

Cited: 1 time

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Comparisons of improved genomic predictions generated by different imputation methods for genotyping by sequencing data in livestock populations.

Xiao Wang, Guosheng Su, Dan Hao, Mogens Sandø Lund, Haja N Kadarmideen,

Background:Genotyping by sequencing (GBS) still has problems with missing genotypes. Imputation is important for using GBS for genomic predictions, especially for low depths, due to the large number of missing genotypes. Minor allele frequency (MAF) is widely used as a marker data editing criteria for genomic predictions. In this study, ... Read more >>

J Anim Sci Biotechnol (Journal of animal science and biotechnology)
[2020, 11:3]

Cited: 1 time

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High-Throughput Sequencing With the Preselection of Markers Is a Good Alternative to SNP Chips for Genomic Prediction in Broilers.

Tianfei Liu, Chenglong Luo, Jie Ma, Yan Wang, Dingming Shu, Guosheng Su, Hao Qu,

The choice of a genetic marker genotyping platform is important for genomic prediction in livestock and poultry. High-throughput sequencing can produce more genetic markers, but the genotype quality is lower than that obtained with single nucleotide polymorphism (SNP) chips. The aim of this study was to compare the accuracy of ... Read more >>

Front Genet (Frontiers in genetics)
[2020, 11:108]

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Phenotypically Selective Genotyping Realizes More Genetic Gains in a Rainbow Trout Breeding Program in the Presence of Genotype-by-Environment Interactions

Thinh Tuan Chu, Anders Christian Sørensen, Mogens Sandø Lund, Kristian Meier, Torben Nielsen, Guosheng Su,

Selective genotyping of phenotypically superior animals may lead to bias and less accurate genomic breeding values (GEBV). Performing selective genotyping based on phenotypes measured in the breeding environment (B) is not necessarily a good strategy when the aim of a breeding program is to improve animals’ performance in the commercial ... Read more >>

Front Genet (Frontiers in genetics)
[2020, 11:]

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Genome-wide association studies for the concentrations of insulin, triiodothyronine, and thyroxine in Chinese Holstein cattle.

QianFu Gan, YiRan Li, QingHua Liu, M Lund, GuoSheng Su, XueWu Liang,

To further understand the genetic structure that is associated with insulin (INS) and thyroid hormones (TH), including triiodothyronine (T<sub>3</sub>) and thyroxine (T<sub>4</sub>), in Chinese Holstein cows, we conducted a genome-wide association study (GWAS) of thyroid hormones and insulin in cows. We conducted GWAS analysis on 1217 Chinese Holstein cows raised ... Read more >>

Trop Anim Health Prod (Tropical animal health and production)
[2020, 52(4):1655-1660]

Cited: 1 time

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