Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 15 min ago
Peer-reviewedCC BY 4.0Scientifica

Culling Reasons in Industrial Dairy Farms of Western Tehran Province, Iran: A Herd‐Size Stratified Analysis and Management Implications

  1. 1Department of Agriculture Iranian Research Organization for Science and Technology (IROST) Tehran Iran irost.org
  2. 2Department of Agriculture Payame Noor University Tehran Iran pnu.ac.ir

Abstract

This study investigated culling reasons in 27 industrial and semiindustrial dairy farms (15,907 cattle) in western Tehran Province, Iran, using records from 2010–2014 (with detailed analysis for 2012–2014). Herds were stratified by size: 20–100, 101–200, 201–500, and > 500 head. Milk yield increased with herd size (6955 to 8750 kg), while fat (4.06% to 3.86%) and protein (3.28% to 3.20%) decreased, showing strong negative correlations with yield (−0.79 to −0.89 for fat; −0.77 to −0.88 for protein) and positive correlations between fat and protein (0.91–0.94). Involuntary culling predominated (70%–76%), with reproductive disorders (15%–20%), mastitis (13%–15%), lameness (15%), and low milk yield as primary causes. Larger herds exhibited higher involuntary culling for health‐related issues, consistent with findings that high milk yield is associated with deteriorated cow health and fertility. Herds of 201–500 head demonstrated optimal balance between productivity (mean 32 kg/day, 3.1% fat) and lower culling rates for mastitis, udder disorders, and lameness compared to larger herds. These findings indicate that targeted management and breeding strategies—including fertility‐focused selection and proactive health monitoring—could reduce involuntary culling by 10%–15% and enhance herd sustainability in Tehran’s dairy industry.

Related

  1. Recurrent implantation failure: a registry-corroborated, age-stratified definition and pragmatic five-tiered management algorithm.
    Hossam Elzeiny, Alexander M Quaas, Alexandra P Bielfeld +1
    Frontiers in endocrinologyPeer-reviewedCC BYFull textImmunologyEurope PMCCrossref
  2. Source node management in complex water network based on cascading failure and bidirectional risk transmission: The case of Henan Province
    Junhua Zhang, Ran Jing, Jing Dai +3
    PLOS OnePeer-reviewedCC BY 4.0Full textEcologyEnvironmental science & pollutionPLOS
  3. Selective culling and the potential persistence of lumpy skin disease in cattle herds: insights from a mechanistic transmission model
    Clara Delecroix, Gaël Beaunée, Stéphane Bertagnoli +5
    Veterinary ResearchPreprintCC BY 4.0Full textZoology & animal behaviourHAL
  4. A Computational Re-evaluation of Spatial Trials for Zoonotic Tuberculosis Control: Model Misspecification, Diagnostic Miss-classification, and the Illusion of Wildlife Culling Efficacy
    P. R. Torgerson
    bioRxivPreprintCC BY-NCFull text1 citedEcologybioRxiv
  5. Genetic connectivity in US Caribbean queen conch (Aliger gigas):Implications for management and forensic assignment
    D. M. Beltran, R. S. Appeldoorn, C. Prada
    bioRxivPreprintAll rights reservedFull textEcologybioRxiv
BibTeX
@article{advay2026culling,
  title = {{Culling Reasons in Industrial Dairy Farms of Western Tehran Province, Iran: A Herd‐Size Stratified Analysis and Management Implications}},
  author = {Ahlam Advay and Mohammad Reza Sanjabi and Mohammad Zandi and Hamed Mohammadi},
  journal = {Scientifica},
  year = {2026},
  month = nov,
  doi = {10.1155/sci5/9580301},
  url = {https://doi.org/10.1155/sci5/9580301},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Culling Reasons in Industrial Dairy Farms of Western Tehran Province, Iran: A Herd‐Size Stratified Analysis and Management Implications
AU  - Ahlam Advay
AU  - Mohammad Reza Sanjabi
AU  - Mohammad Zandi
AU  - Hamed Mohammadi
PY  - 2026
DA  - 2026/11/04
JO  - Scientifica
DO  - 10.1155/sci5/9580301
UR  - https://doi.org/10.1155/sci5/9580301
AB  - This study investigated culling reasons in 27 industrial and semiindustrial dairy farms (15,907 cattle) in western Tehran Province, Iran, using records from 2010–2014 (with detailed analysis for 2012–2014). Herds were stratified by size: 20–100, 101–200, 201–500, and > 500 head. Milk yield increased with herd size (6955 to 8750 kg), while fat (4.06% to 3.86%) and protein (3.28% to 3.20%) decreased, showing strong negative correlations with yield (−0.79 to −0.89 for fat; −0.77 to −0.88 for protein) and positive correlations between fat and protein (0.91–0.94). Involuntary culling predominated (70%–76%), with reproductive disorders (15%–20%), mastitis (13%–15%), lameness (15%), and low milk yield as primary causes. Larger herds exhibited higher involuntary culling for health‐related issues, consistent with findings that high milk yield is associated with deteriorated cow health and fertility. Herds of 201–500 head demonstrated optimal balance between productivity (mean 32 kg/day, 3.1% fat) and lower culling rates for mastitis, udder disorders, and lameness compared to larger herds. These findings indicate that targeted management and breeding strategies—including fertility‐focused selection and proactive health monitoring—could reduce involuntary culling by 10%–15% and enhance herd sustainability in Tehran’s dairy industry.
SN  - 2090-908X
ER  -