Evidence map›Paper›PMID 37332291›Full record

ArticleJournal of animal science and technology2023

Negative association between high temperature-humidity index and milk performance and quality in Korean dairy system: big data analysis.

Dongseok Lee, Daekyum Yoo, Hyeran Kim, Jakyeom Seo

Open access · goldAbstract read
In one paragraph

Article in Journal of animal science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
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 at 2 institutions in 1 country.

Dongseok LeeDepartment of Animal Science, Life and Industry Convergence Research Institute, Pusan National University, Miryang 50463, Korea.ORCID https://orcid.org/0000-0002-4008-9164
Daekyum YooDepartment of Animal Science, Life and Industry Convergence Research Institute, Pusan National University, Miryang 50463, Korea.ORCID https://orcid.org/0000-0002-6430-9539
Hyeran KimAnimal Nutrition and Physiology Team, National Institute of Animal Science, RDA, Wanju 55365, Korea.ORCID https://orcid.org/0000-0003-2207-3668
Jakyeom SeoDepartment of Animal Science, Life and Industry Convergence Research Institute, Pusan National University, Miryang 50463, Korea.ORCID https://orcid.org/0000-0002-9176-5206
Pusan National University · KRNational Institute of Animal Science · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to investigate the effects of heat stress on milk traits in South Korea using comprehensive data (dairy production and climate). The dataset for this study comprised 1,498,232 test-day records for milk yield, fat- and protein-corrected milk, fat yield, protein yield, milk urea nitrogen (MUN), and somatic cell score (SCS) from 215,276 Holstein cows (primiparous: n = 122,087; multiparous: n = 93,189) in 2,419 South Korean dairy herds. Data were collected from July 2017 to April 2020 through the Dairy Cattle Improvement Program, and merged with meteorological data from 600 automatic weather stations through the Korea Meteorological Administration. The segmented regression model was used to estimate the effects of the temperature-humidity index (THI) on milk traits and elucidate the break point (BP) of the THI. To acquire the least-squares mean of milk traits, the generalized linear model was applied using fixed effects (region, calving year, calving month, parity, days in milk, and THI). For all parameters, the BP of THI was observed; in particular, milk production parameters dramatically decreased after a specific BP of THI (

Indexed as

Big dataHeat stressMilk performanceTemperature-humidity index

Identifiers

PMID37332291
PMCPMC10271930
OpenAlexW4313435973

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.