Evidence map›Paper›PMID 39409710›Full record

ArticleAnimals : an open access journal from MDPI2024

Estimation of Genetic Parameters for Milk Production Rate and Its Stability in Holstein Population.

Hailiang Zhang, Qing Gao, Ao Wang, Zichen Wang, Yan Liang, Mengling Guo, Yongjiang Mao, Yachun Wang

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Hailiang ZhangLaboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, State Key Laboratory of Farm Animal Biotech Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-8050-2494
Qing GaoLaboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, State Key Laboratory of Farm Animal Biotech Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Ao WangLaboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, State Key Laboratory of Farm Animal Biotech Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Zichen WangCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Yan LiangCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.ORCID 0000-0001-9747-4357
Mengling GuoCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Yongjiang MaoCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Yachun WangLaboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, State Key Laboratory of Farm Animal Biotech Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0003-3629-2802

Funding

China Agriculture Research System of MOF and MARA CARS36Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX23-3588the program for Changjiang Scholar and Innovation Research Team in University IRT1191
6 · The paper itself

Abstract

Milk production rate (MPR) refers to the rate of milk secretion per hour (kg/h), calculated from the harvested milk yield and milking interval, and it is considered an appropriate measure to evaluate the production potential of cows. The objective of this study was to estimate the phenotypic and genetic parameters of milk production rate traits. In this study, the milking records of 4760 Holstein cows were collected, and four milk yield traits and six milk production rate traits were defined. The MIXED procedure was used to detect the impacts of non-genetic effects on milk yield and milk production rate traits, including parity, measured season and lactation stage. Variance and covariance components for milk yield and milk production rate traits were estimated using a univariate linear repeatability model. Parity, measurement season and lactation stage had significant effects (

Indexed as

dairy cattlegenetic analysisheritabilitymilk production ratemilk yield

Identifiers

PMID39409710
PMCPMC11482588

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.