Dairy Farm Management: Securing Animal Health, Productivity and Profitability

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Farm Animal Production".

Deadline for manuscript submissions: closed (25 April 2025) | Viewed by 1145

Special Issue Editors


E-Mail Website
Guest Editor
Department of Veterinary Medicine and Animal Production, Federico II University, 80137 Naples, Italy
Interests: adaptive physiology; dairy ruminants reproduction; precision livestock farming; animal welfare; resilience; farm profitability
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Via Sondrio 2/a, 33100 Udine, Italy
Interests: HPA axis; allostatic load; resilience; animal welfare; physiology; reproductive physiology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Nowadays, the dairy ruminant livestock sector is facing major concerns, namely farm profitability, productivity and product quality are important when considering animal health status. Moreover, dairy farm management should aim at protecting livestock from poor conditions, improving the quality of animal-derived food and avoiding detrimental carryover effects on the performances of dairy animals. The proper management of sensitive phases of the productive career of the livestock ensures optimal growth performances, reproductive efficiency and accordingly both farm productivity and profitability of the farm. Novel approaches such as sensor-based technologies can serve as tools to address these issues. This Special Issue named "Dairy Farm Management: Securing Animal Health, Productivity and Profitability" aims to strengthen the current knowledge about the interrelationship between farm profitability and the welfare of dairy ruminants through the publication of a selection of research articles focusing on both management practices and animal-based welfare assessment. We solicit original research papers and reviews concerning adaptive physiology measurements on an individual animal or herd level, quality and quantity of productions, and management. We hope that this Special Issue will stimulate a broad discussion between two areas of expertise embracing all different aspects of dairy farm management.

Dr. Alessio Cotticelli
Dr. Tanja Peric
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agriculture is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • animal welfare
  • sensor-based technologies
  • management practices
  • productive efficiency
  • growth performance
  • adaptive physiology
  • precision livestock farming

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

16 pages, 1825 KiB  
Article
Estimation of Genetic Parameters for Milk Urea Nitrogen in Iranian Holstein Cattle Using Random Regression Models
by Mehridokht Mortazavi, Mohammad Bagher Zandi, Rostam Pahlavan, Moradpasha Eskandari Nasab and Hinayah Rojas de Oliveira
Agriculture 2025, 15(4), 357; https://doi.org/10.3390/agriculture15040357 - 7 Feb 2025
Viewed by 668
Abstract
Reducing nitrogen excretion in dairy cattle is a critical factor for improving the environmental sustainability of the livestock industry. This research aimed to estimate the genetic parameters over time for the milk urea nitrogen (MUN) trait in Iranian Holstein dairy cattle. Data from [...] Read more.
Reducing nitrogen excretion in dairy cattle is a critical factor for improving the environmental sustainability of the livestock industry. This research aimed to estimate the genetic parameters over time for the milk urea nitrogen (MUN) trait in Iranian Holstein dairy cattle. Data from 347,639 test-day records of 52,219 first-parity Iranian Holstein dairy cows (spanning 2018 to 2023), were sourced from the Iranian National Animal Breeding Center. A single-trait random regression test-day animal model was used for the genetic evaluation of MUN. Three orders of Legendre orthogonal polynomials (ranging from 1 to 3) were tested to fit the fixed curve, additive genetic effects, and permanent environmental effects. Based on the AIC, BIC, and residual variances to compare the models, the third order was considered as the appropriate order for this dataset. The average heritability and repeatability of the MUN trait were estimated to be 0.027 and 0.081, respectively. The average estimates for additive genetic variance, permanent environmental variance, and phenotypic variance were 0.14, 0.28, and 5.17, respectively. The genetic trend analysis revealed that the MUN trait exhibited fluctuations across birth years (2016–2021), with an overall negative trend. Importantly, the average MUN levels remained within the desirable range of 13–16 mg/dL for Iranian Holstein cows across calving years from 2019 to 2023. Despite the low heritability estimates, the genetic parameters obtained in this study are valuable for improving MUN in Iranian dairy cattle. These findings provide critical insights for designing effective breeding programs aimed at reducing nitrogen excretion and promoting environmental sustainability in the dairy industry. Full article
Show Figures

Figure 1

Back to TopTop