Genome-Wide Association Study of Lactation Traits in Chinese Holstein Cows in Southern China Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.3390/ani13152545
Lactation traits are economically important for dairy cows. Southern China has a high-temperature and high-humidity climate, and environmental and genetic interactions greatly impact dairy cattle performance. The aim of this study was to identify novel single-nucleotide polymorphism sites and novel candidate genes associated with lactation traits in Chinese Holstein cows under high-temperature and humidity conditions in southern China. A genome-wide association study was performed for the lactation traits of 392 Chinese Holstein cows, using GGP Bovine 100 K SNP gene chips. Some 23 single nucleotide polymorphic loci significantly associated with lactation traits were screened. Among them, 16 were associated with milk fat rate, 7 with milk protein rate, and 3 with heat stress. A quantitative trait locus that significantly affects milk fat percentage in Chinese Holstein cows was identified within a window of approximately 0.5 Mb in the region of 0.4–0.9 Mb on Bos taurus autosome 14. According to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses, ten genes (DGAT1, IDH2, CYP11B1, GFUS, CYC1, GPT, PYCR3, OPLAH, ALDH1A3, and NAPRT) associated with lactation fat percentage, milk yield, antioxidant activity, stress resistance, and inflammation and immune response were identified as key candidates for lactation traits. The results of this study will help in the development of an effective selection and breeding program for Chinese Holstein cows in high-temperature and humidity regions.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ani13152545
- https://www.mdpi.com/2076-2615/13/15/2545/pdf?version=1691417797
- OA Status
- gold
- Cited By
- 8
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385655157
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4385655157Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/ani13152545Digital Object Identifier
- Title
-
Genome-Wide Association Study of Lactation Traits in Chinese Holstein Cows in Southern ChinaWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-08-07Full publication date if available
- Authors
-
Minqiang Su, Xiaojue Lin, Zupeng Xiao, Yuanhang She, Ming Deng, Guangbin Liu, Baoli Sun, Yongqing Guo, Dewu Liu, Yaokun LiList of authors in order
- Landing page
-
https://doi.org/10.3390/ani13152545Publisher landing page
- PDF URL
-
https://www.mdpi.com/2076-2615/13/15/2545/pdf?version=1691417797Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2076-2615/13/15/2545/pdf?version=1691417797Direct OA link when available
- Concepts
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Lactation, Biology, Single-nucleotide polymorphism, Candidate gene, Genome-wide association study, Quantitative trait locus, Genetics, Breed, Gene, Animal science, Genotype, PregnancyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 4Per-year citation counts (last 5 years)
- References (count)
-
48Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.high-temperature | 12, 51, 218 |
| abstract_inverted_index.single-nucleotide | 35 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 97 |
| corresponding_author_ids | https://openalex.org/A5064153472, https://openalex.org/A5103234580 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 10 |
| corresponding_institution_ids | https://openalex.org/I101479585 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.75 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.91343394 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |