Sustainable Breeding in Dairy Production: Balancing Welfare, Productivity and Profitability

A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Cattle".

Deadline for manuscript submissions: 29 December 2026 | Viewed by 458

Special Issue Editor


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Guest Editor
Jiangsu Academy of Agricultural Sciences, Nanjing, China
Interests: sustainable breeding

Special Issue Information

Dear Colleagues,

Balancing animal welfare, productivity, and profitability is a central challenge for the global dairy sector. This Special Issue focuses on how breeding strategies and genetic improvement can contribute to this balance and enhance long-term sustainability. It will compile innovative research and reviews that advance dairy cattle breeding beyond traditional output-focused metrics. We invite contributions that explore the genetic basis of traits directly or indirectly related to sustainability, such as health, fertility, robustness, feed efficiency, and environmental impact. Specifically, we encourage submissions on the application of genomic tools to select for improved welfare-associated traits (e.g., disease resistance, longevity), economic evaluations of multi-trait selection indices that incorporate sustainability goals, and ethical frameworks for defining breeding objectives. Ultimately, this Special Issue will foster a holistic dialogue on breeding more resilient and efficient dairy cattle, which can thrive within and support farming systems that are ethically sound, economically viable, and socially responsible.

Prof. Dr. Huili Wang
Guest Editor

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Keywords

  • sustainable breeding
  • dairy cattle
  • animal welfare
  • multi-omics
  • multi-trait selection
  • genomic selection

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Published Papers (1 paper)

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Research

17 pages, 3245 KB  
Article
Estimation of Genetic Parameters of Reproductive Traits in Holstein Cattle from Southern China
by Wenjie Li, Shuwen Xia, Yanming Quan, Yangyang Shen, Weining Li, Kunlin Chen, Zhenjiang An, Yingying Jiang, Zengxiang Pan and Huili Wang
Animals 2026, 16(4), 604; https://doi.org/10.3390/ani16040604 - 14 Feb 2026
Viewed by 300
Abstract
Reproductive performance is a critical determinant of dairy farm productivity and profitability. This study aimed to estimate genetic parameters for key reproductive traits in Holstein cattle from southern China. Phenotypic data comprising 117,514 records from 44,861 cows across eight farms were analyzed. Genetic [...] Read more.
Reproductive performance is a critical determinant of dairy farm productivity and profitability. This study aimed to estimate genetic parameters for key reproductive traits in Holstein cattle from southern China. Phenotypic data comprising 117,514 records from 44,861 cows across eight farms were analyzed. Genetic parameters were estimated separately for heifers and multiparous cows using single-trait animal and repeatability models via the AI-REML module in DMU. Bivariate and multi-trait models were employed to estimate trait correlations within and across parity groups, respectively. The results indicate that heifers generally exhibited superior reproductive efficiency compared to multiparous cows. Heritability estimates ranged from 0.04 to 0.47 in heifers, with age at first service (AFS) being the highest (0.47 ± 0.02), while estimates for multiparous cows were consistently low (0.03–0.14). Strong genetic correlations were observed among functionally related traits, particularly in multiparous cows. For example, high positive genetic correlations were detected between Number of Services (NSc) and Interval from First to Last Service (IFLc, 0.91), NSc and Days Open (DO, 0.87), Interval from First to Last Service (IFLc) and Calving Interval (CI, 0.94), and IFLc and DO (0.96). Multi-trait analysis revealed moderate genetic correlations (0.13–0.85) for the same trait across heifers and different cow parities, with gestation length (GL) showing the strongest correlation (0.99) across all parities. The findings confirm that most reproductive traits in this population, especially in multiparous cows, exhibit low heritability and are strongly influenced by management and environment. This study thereby delivers practical guidance for the genetic improvement of low-heritability traits and for the production management of Holstein cattle in southern China. Full article
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