Estimation of Genetic Parameters for Six Economic Traits in Beijing Holstein Cows
ABSTRACT Background Chinese Holstein is a dairy cattle breed developed through crossbreeding and long‐term selection. The Beijing Holstein represents a distinct population within the Chinese Holstein breed, specifically bred in the Beijing region. Objectives This study aimed to estimate the genetic...
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Wiley
2025-05-01
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| Series: | Veterinary Medicine and Science |
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| Online Access: | https://doi.org/10.1002/vms3.70340 |
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| author | Yekai Fan Jinxin Wang Qiuling Li Yufang Liu Lv Qiao Wanhai Shi Yuze Yang Wenping Hu Mingxing Chu |
| author_facet | Yekai Fan Jinxin Wang Qiuling Li Yufang Liu Lv Qiao Wanhai Shi Yuze Yang Wenping Hu Mingxing Chu |
| author_sort | Yekai Fan |
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| description | ABSTRACT Background Chinese Holstein is a dairy cattle breed developed through crossbreeding and long‐term selection. The Beijing Holstein represents a distinct population within the Chinese Holstein breed, specifically bred in the Beijing region. Objectives This study aimed to estimate the genetic parameters for six economic traits in Beijing Holstein cows. Methods Data from 5409 Beijing Holstein cows across 13 dairy farms were analysed by MTDFREML and SAS software. The linear univariate and bivariate animal model analyses were employed to estimate heritabilities and genetic correlations, respectively. Results Heritabilities of milk yield in 305 days (d), fat percentage, protein percentage, somatic cell score (SCS), lactose percentage and dry matter percentage were 0.08, 0.17, 0.20, 0.10, 0.16 and 0.26, respectively. Most genetic correlations aligned in direction and magnitude with their phenotypic correlations. Notably, dry matter percentage exhibited strong positive genetic correlations with fat percentage (0.96), protein percentage (0.74) and lactose percentage (0.70). The genetic correlations were moderately significant negative between dry matter percentage and milk yield in 305 d (−0.39), between SCS and dry matter percentage (−0.26), between SCS and lactose percentage (−0.30), and between SCS and fat percentage (−0.38). Conclusions On the basis of the genetic parameters and their economic significance, the milk yield in 305 d, fat percentage, protein percentage and SCS would be selected as breeding goal traits with different direction and extent of weight. A balanced breeding approach targeting these traits is essential to enhance overall production performance. This study provides foundational data for evaluating the production potential of Beijing Holstein cows and supports informed breeding decisions. |
| format | Article |
| id | doaj-art-ea36c58269b443d5a7a6aa175f299c47 |
| institution | Kabale University |
| issn | 2053-1095 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Veterinary Medicine and Science |
| spelling | doaj-art-ea36c58269b443d5a7a6aa175f299c472025-08-20T03:47:58ZengWileyVeterinary Medicine and Science2053-10952025-05-01113n/an/a10.1002/vms3.70340Estimation of Genetic Parameters for Six Economic Traits in Beijing Holstein CowsYekai Fan0Jinxin Wang1Qiuling Li2Yufang Liu3Lv Qiao4Wanhai Shi5Yuze Yang6Wenping Hu7Mingxing Chu8State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS) Beijing P. R. ChinaState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS) Beijing P. R. ChinaHebei Key Laboratory of Animal Diversity, Langfang Key Laboratory of Cell Engineering and Application, College of Life Sciences, Langfang Normal University Langfang P. R. ChinaState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS) Beijing P. R. ChinaBeijing Dairy Cattle Center Beijing P. R. ChinaBeijing Dairy Cattle Center Beijing P. R. ChinaBeijing General Station of Animal Husbandry Beijing P. R. ChinaState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS) Beijing P. R. ChinaState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS) Beijing P. R. ChinaABSTRACT Background Chinese Holstein is a dairy cattle breed developed through crossbreeding and long‐term selection. The Beijing Holstein represents a distinct population within the Chinese Holstein breed, specifically bred in the Beijing region. Objectives This study aimed to estimate the genetic parameters for six economic traits in Beijing Holstein cows. Methods Data from 5409 Beijing Holstein cows across 13 dairy farms were analysed by MTDFREML and SAS software. The linear univariate and bivariate animal model analyses were employed to estimate heritabilities and genetic correlations, respectively. Results Heritabilities of milk yield in 305 days (d), fat percentage, protein percentage, somatic cell score (SCS), lactose percentage and dry matter percentage were 0.08, 0.17, 0.20, 0.10, 0.16 and 0.26, respectively. Most genetic correlations aligned in direction and magnitude with their phenotypic correlations. Notably, dry matter percentage exhibited strong positive genetic correlations with fat percentage (0.96), protein percentage (0.74) and lactose percentage (0.70). The genetic correlations were moderately significant negative between dry matter percentage and milk yield in 305 d (−0.39), between SCS and dry matter percentage (−0.26), between SCS and lactose percentage (−0.30), and between SCS and fat percentage (−0.38). Conclusions On the basis of the genetic parameters and their economic significance, the milk yield in 305 d, fat percentage, protein percentage and SCS would be selected as breeding goal traits with different direction and extent of weight. A balanced breeding approach targeting these traits is essential to enhance overall production performance. This study provides foundational data for evaluating the production potential of Beijing Holstein cows and supports informed breeding decisions.https://doi.org/10.1002/vms3.70340animal modelBeijing Holstein cowgenetic parametersmilk traitssomatic cell score |
| spellingShingle | Yekai Fan Jinxin Wang Qiuling Li Yufang Liu Lv Qiao Wanhai Shi Yuze Yang Wenping Hu Mingxing Chu Estimation of Genetic Parameters for Six Economic Traits in Beijing Holstein Cows Veterinary Medicine and Science animal model Beijing Holstein cow genetic parameters milk traits somatic cell score |
| title | Estimation of Genetic Parameters for Six Economic Traits in Beijing Holstein Cows |
| title_full | Estimation of Genetic Parameters for Six Economic Traits in Beijing Holstein Cows |
| title_fullStr | Estimation of Genetic Parameters for Six Economic Traits in Beijing Holstein Cows |
| title_full_unstemmed | Estimation of Genetic Parameters for Six Economic Traits in Beijing Holstein Cows |
| title_short | Estimation of Genetic Parameters for Six Economic Traits in Beijing Holstein Cows |
| title_sort | estimation of genetic parameters for six economic traits in beijing holstein cows |
| topic | animal model Beijing Holstein cow genetic parameters milk traits somatic cell score |
| url | https://doi.org/10.1002/vms3.70340 |
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