Evidence map›Paper›PMID 39794993›Full record

ArticleAnimals : an open access journal from MDPI2024

Modeling Mastitis Risk Management Effects on Dairy Milk Yield and Global Warming Potential.

Giulia Ferronato, Anna Simonetto, Gianni Gilioli, Alfonso Zecconi

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Antibiotics (Basel, Switzerland) · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Giulia FerronatoDepartment of Civil Engineering, Architecture, Environment, Land Planning and Mathematics (DICATAM), University of Brescia, 25121 Brescia, Italy.ORCID 0000-0001-9153-8540
Anna SimonettoDepartment of Civil Engineering, Architecture, Environment, Land Planning and Mathematics (DICATAM), University of Brescia, 25121 Brescia, Italy.ORCID 0000-0003-1291-5569
Gianni GilioliDepartment of Civil Engineering, Architecture, Environment, Land Planning and Mathematics (DICATAM), University of Brescia, 25121 Brescia, Italy.
Alfonso ZecconiOne Health Unit, Department of Biomedical, Surgical and Dental Sciences, School of Medicine, University of Milan, 20133 Milan, Italy.ORCID 0000-0002-3127-8385

Funding

Fondazione Cariplo 2020-4135
6 · The paper itself

Abstract

Mastitis represents a significant challenge for dairy farming, resulting in economic losses and environmental impacts. This study assesses a model for the evaluation of the impact of mastitis on dairy productivity and Global Warming Potential (GWP) under diverse management scenarios. The model considers a range of factors, including bedding materials, milking systems, health surveillance, and overcrowding. The results of the simulation demonstrate that effective management, encompassing the utilization of sand bedding, and the presence of an annual herd health monitoring plan have the potential to reduce the prevalence of mastitis and enhance milk yield by up to 10% in milking parlors and 7% in automatic milking systems. At the herd level, the GWP ranged from 1.37 to 1.78 kg CO

Indexed as

dairyglobal warming potentialmastitisrisk assessment

Identifiers

PMID39794993
PMCPMC11718989

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.