Evidence map›Paper›PMID 38055070›Full record

ArticleTropical animal health and production2023

Short milking tube thermogram analysis: an indicator of mastitis in Murrah buffaloes.

S L Gayathri, M Bhakat, T K Mohanty

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In one paragraph

Article in Tropical animal health and production, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

3 authors at 1 institution in 1 country.

S L GayathriArtificial Breeding Research Centre, ICAR-National Dairy Research Institute, Karnal, 132001, Haryana, India.ORCID http://orcid.org/0000-0002-8548-7027
M BhakatArtificial Breeding Research Centre, ICAR-National Dairy Research Institute, Karnal, 132001, Haryana, India. mukesh.bhakat@icar.gov.in.
T K MohantyArtificial Breeding Research Centre, ICAR-National Dairy Research Institute, Karnal, 132001, Haryana, India.
National Dairy Research Institute · IN

Funding

ICAR ICT Unit-3(5)/2021-ICT
6 · The paper itself

Abstract

In the present study, thermal images of the short milking tube of the milking machine representing four udder quarters independently attached to a milking animal, along with pre-milking and post-milking udder and teat thermograms, were taken using a hand-held digital infrared thermal camera (DarviDTL007) during morning milking of lactating Murrah buffaloes (n = 132) to assess the mastitis status. California mastitis test (CMT) and somatic cell count (SCC) of milk samples were carried out to screen the udder quarters as healthy, subclinical (SCM), and clinical mastitis (CM). The thermograms revealed an increase (p < 0.05) of 2.19 and 3.72ºC in the mean values of short milking tube (SMT) surface temperature among SCM and CM quarters compared to healthy quarters, respectively. The mean values of udder skin surface temperature (USST) for pre-milking, milking, and post-milking of SCM and CM compared to healthy quarters showed an increase (p < 0.05) of 2.17, 1.96, and 1.61ºC and 3.11, 2.88, and 2.73ºC, respectively. Similarly, compared to healthy quarters, the mean values of teat skin surface temperature (TSST) for pre-milking and post-milking of SCM and CM showed an increase (p < 0.05) of 2.12 and 1.66ºC and 3.07 and 2.45ºC, respectively. Also, CMT and SCC results showed a strong positive correlation (r = 0.68-0.91, p < 0.01) with all the thermographic parameters. Thus, thermograms of SMT alone can be used as an efficient detection tool in assessing SCM among Murrah buffaloes.

Indexed as

BisonMastitisAnimalsBuffaloesFemaleLactationMilkMurrah buffaloesShort milking tubeThermogramsTSSTUSST

Identifiers

PMID38055070
OpenAlexW4389397231

What OpenQuestion holds

Textmetadata
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.