Publications by authors named "Guosheng Su"

Article Synopsis
  • This research presents a comprehensive pangenome assembly of 27 pig genomes, marking a major milestone in pig genomic data.
  • The analysis highlights how structural variations influence adaptation and breed-specific traits, identifying a crucial gene linked to intramuscular fat and meat quality.
  • These findings emphasize the importance of multi-genome studies in discovering significant genomic traits for agricultural improvement.
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Both selection and mating systems are essential tools for breeders to conserve the genetic variance and improve the performance of livestock animals. How to effectively balance the genetic gain and inbreeding has always been an important issue in quantitative genetics research. In this study, a total of 11 selection methods, including random and truncation selection, six conventional selection methods, three different optimal contribution selection (OCS) methods and three mating strategies including random mating, minimum-coancestry mating based on pedigree (MCPed) and genomic information (MCmarker), were performed using stochastic simulations.

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Litter size is an important trait in pig production. But selection accuracy for this trait is relatively low, compared with production traits. This study, for the first time, investigated the improvement of genetic evaluation of reproduction traits such as litter size in pigs using data of production traits as an additional information source.

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Background: Due to the unfavourable neck-shoulder muscle loads caused by poor posture, the people who use the laptop for a long time may face the risk of neck and shoulder injuries.

Objective: The purpose of this study investigates the impact of the screen height on the muscle activation of head flexion, neck and shoulder, and the cervical spine torque to provide the favorite screen height for laptop user.

Methods: Twelve healthy young participants completed a 15-minute task of the reading at the four different screen heights.

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Article Synopsis
  • * A study examined genetic parameters of semen and conformation traits in Holstein bulls, revealing heritabilities ranging from low (0.06) to moderate (0.69) across various traits.
  • * Strong genetic correlations among semen traits suggest that improving semen quality through selective breeding is possible, with SC serving as a valuable trait for indirect selection in breeding programs.
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  • The FarmGTEx project aims to create a public database of genetic variants in livestock to connect genetic differences with physical traits, benefiting both animal breeding and human health research.
  • The pilot phase, PigGTEx, involved analyzing 5,457 RNA-sequencing and 1,602 whole-genome sequencing samples from pigs, leading to the development of a genotype imputation panel and associations between millions of genetic variants and transcriptomic traits across 34 different tissues.
  • The study highlights the tissue-specific regulatory effects of these variants, revealing molecular mechanisms affecting 207 complex pig traits while also demonstrating the relevance of pigs as models for understanding human gene expression and genetic regulation.
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  • Eurasian pigs have experienced genetic mixing over time, particularly with indigenous breeds from China like the Meishan and Erhualian pigs improving Western breeds such as the French Large White pigs in reproductive performance.
  • This research identified that Danish Large White pigs have also incorporated genetic material from Taihu Lake pigs, specifically showing shared haplotypes that are linked to neurodevelopmental pathways.
  • A specific 115 kb genomic region on chromosome 16 contains a key gene, NDUFS4, which may significantly enhance reproductive performance, indicating its potential as a target for breeding improvements in pigs.
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Disease-related milk losses directly affect dairy herds' profitability and the production efficiency of the dairy industry. Therefore, this study aimed to quantify phenotypic variability in milk fluctuation periods related to diseases and to explore milk fluctuation traits as indicators of disease resilience. By combining high-frequency daily milk yield data with disease records of cows that were treated and recovered from the disease, we estimated milk variability trends within a fixed period around the treatment day of each record for 5 diseases: udder health, reproductive disorders, metabolic disorders, digestive disorders, and hoof health.

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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 from the difference in the mean contribution of loci between breeds, which in turn is caused by differences in allele frequencies between breeds. However, with multiple generations of crossbreeding, how to account for breed segregation in genomic models that split the breeding value of crossbreds based on breed origin of alleles (BOA) is not known.

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  • * The study analyzed and simulated the burr formation mechanisms in traditional micromilling versus ultrasonic vibration-assisted micromilling, revealing that ultrasonic vibration decreases cutting temperature and forces, leading to less burr formation.
  • * Optimal burr suppression was achieved with low cutting speeds, specific feed rates, and a larger amplitude of ultrasonic vibrations; the results showed that a cutting thickness of 6 μm yielded the fewest and smallest burrs.
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  • Reproductive traits in dairy cattle directly impact farm efficiency and economic viability, with service sires significantly influencing reproductive success.
  • The study analyzed data from 2,244 genotyped bulls to predict the genetic effect of service sires (GESS) on various reproductive traits, using two genomic prediction methods (msGBLUP and ssGBLUP).
  • Results showed that while genomic prediction of GESS is feasible, factors like marker density had limited effects, suggesting that genomic selection for service sires can be effective in both theoretical and practical settings.
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  • Nodular cast iron QT700-2 is favored for automobile crankshaft parts because of its strong mechanical properties, but traditional grinding can cause damage.
  • Shape adaptive grinding (SAG) is a new, flexible grinding technology that minimizes heat and damage while effectively machining complex curved surfaces.
  • An experimental study on SAG revealed that grain size significantly impacts grinding performance, leading to optimal parameters for better surface integrity of QT700-2 in future applications.
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Article Synopsis
  • - Combining multinational reference populations, like the Chinese and Nordic Holstein, significantly improves the accuracy of genomic prediction for complex traits such as milk and fat yield, yielding genetic correlation estimates ranging from 0.621 to 0.720.
  • - The study found a notable improvement (2.3 to 8.1 percent) in prediction accuracy for young Chinese Holsteins when utilizing joint reference data compared to single population analysis, while the improvement for Nordic Holsteins was minimal.
  • - Traits with low genetic correlations showed little to no improvement in prediction accuracy with the joint reference populations, indicating that the effectiveness of joint genomic prediction is dependent on the genetic similarity of the traits involved.
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Background: Survival from birth to slaughter is an important economic trait in commercial pig productions. Increasing survival can improve both economic efficiency and animal welfare. The aim of this study is to explore the impact of genotyping strategies and statistical models on the accuracy of genomic prediction for survival in pigs during the total growing period from birth to slaughter.

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Article Synopsis
  • Integrating single-nucleotide polymorphisms (SNPs) from whole-genome sequencing (iWGS) into genomic prediction (GP) models can enhance prediction accuracy for traits like intramuscular fat content (IFC) in pigs.
  • The study analyzed 482 Suhuai pigs, identifying significant regions and functional genes related to IFC through genome-wide association studies (GWAS) and various GP models, including pedigree-based BLUP (PBLUP) and different GBLUP approaches.
  • Findings showed that incorporating iWGS SNPs improved prediction reliability, with the best results seen in the two-component GBLUP and BayesMix models, highlighting the potential for further gene identification related to IFC.
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For genomic prediction of crossbred animals, models that account for the breed origin of alleles (BOA) in marker genotypes can allow the effects of marker alleles to differ depending on their ancestral breed. Previous studies have shown that genomic estimated breeding values for crossbred cows can be calculated using the marker effects that are estimated in the contributing pure breeds and combined based on estimated BOA in the genotypes of the crossbred cows. In the presented study, we further exploit the BOA information for improving the prediction of genomic breeding values of crossbred dairy cows.

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The purpose of this work is to investigate the effect of the WC content on the surface characteristics and nanoindentation behaviors of WC/Ni-based composite laser-clad coatings. Four NiCrSiBC coatings with WC wt% of 30%, 40%, 50%, and 60%, respectively, were clad on carbon steel substrates using a laser. The morphologies and phase compositions of four clad coatings were comparatively observed.

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The preparation of functional coatings on metal substrates is an effective method to enhance the surface of steel structures with good serviceability in applications for engineering parts. The objective of this research is to analyze the surface properties of two sorts of medium-entropy alloy (MEA) coatings prepared by laser cladding. After cladding, the two prepared coatings were strengthened by ultrasonic burnishing (UB) treatment.

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Article Synopsis
  • High mortality rates and culling in dairy cattle lead to significant economic losses, yet there is limited focus on wellness traits in replacement animals during breeding programs.
  • This study aimed to estimate the genetic parameters of wellness traits in replacement dairy cattle, analyzing traits such as birth weight, survival rates, and health conditions using data from nearly 190,000 Holstein cattle.
  • The findings revealed that most genetic correlations among wellness traits were negligible, with low correlations found between these traits and cow longevity and health traits, suggesting a potential need for breeding programs to incorporate wellness traits more effectively.
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  • The study investigated the role of IL-10 in HIV/AIDS patients suffering from cryptococcal meningitis (CM) by comparing four different patient groups.
  • Researchers measured IL-10 levels and analyzed their correlation with various immune indicators in both plasma and cerebrospinal fluid (CSF), finding no significant difference in IL-10 levels across groups.
  • Findings indicated that IL-10 had various correlations with immune factors, suggesting it influences both pro-inflammatory and anti-inflammatory responses in the context of HIV/AIDS with CM.
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  • Genomic predictions have been effective for purebred dairy cattle but are not commonly available for crossbred dairy cows, prompting the need for reliable genomic estimated breeding values (GEBV) for them.
  • A study evaluated 5,467 Danish crossbred dairy cows to determine if combining estimated marker effects from purebred evaluations could yield accurate GEBV, focusing on the breed origin of alleles.
  • The research found that using a breed of origin model resulted in better predictive ability for traits like protein yield compared to a simpler breed proportion model and concluded that integrating marker effects with breed origin considerations leads to reliable genomic predictions for crossbred dairy cows.
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Article Synopsis
  • The study estimates genetic parameters for five milk-related traits in dairy cows, analyzing data from over 9,000 cows in the Yangtze River region using a random regression test-day model.
  • Heritability estimates for traits such as milk yield and protein percentages are presented, with genetic correlations between days in milk showing decreases over time.
  • Genome-wide association studies identified numerous single nucleotide polymorphisms (SNPs) linked to these traits, highlighting potential candidate genes that could guide future genetic improvement in dairy cow populations.
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The dominance effect is considered to be a key factor affecting complex traits. However, previous studies have shown that the improvement of the model, including the dominance effect, is usually less than 1%. This study proposes a novel genomic prediction method called CADM, which combines additive and dominance genetic effects through locus-specific weights on heterozygous genotypes.

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  • This study evaluated the effectiveness of a genomic prediction method that factors in breed origin of alleles (BOA) for predicting milk traits in a genetically diverse population of Nordic Red cattle.
  • The research involved a large dataset of 39,550 animals for reference and 11,786 for validation, using traits like milk, fat, and protein as key performance indicators.
  • Results showed that different modeling approaches (BOA vs. joint model) impacted the reliability of genomic predictions, with the joint model generally providing better results compared to the BOA_uncor model, although incorporating whole-genome sequencing data improved prediction reliability.
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