Evidence map›Paper›PMID 38271985›Full record

ArticleAnimal bioscience2024

Development of an index that decreases birth weight, promotes postnatal growth and yet minimizes selection intensity in beef cattle.

Kenji Togashi, Toshio Watanabe, Atsushi Ogino, Masakazu Shinomiya, Masashi Kinukawa, Kazuhito Kurogi, Shohei Toda

Open access · goldAbstract read
In one paragraph

Article in Animal bioscience, 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
1.7field-weighted citation impact, top 17% 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, 3 citations in OpenAlex.

  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

7 authors at 1 institution in 1 country.

Kenji TogashiLivestock Improvement Association of Japan, Maebashi, Gunma 371-0121, Japan(Retired).
Toshio WatanabeLivestock Improvement Association of Japan, Maebashi, Gunma 371-0121, Japan.
Atsushi OginoLivestock Improvement Association of Japan, Maebashi, Gunma 371-0121, Japan.
Masakazu ShinomiyaLivestock Improvement Association of Japan, Koto-ku, Tokyo 135-0041, Japan.
Masashi KinukawaLivestock Improvement Association of Japan, Maebashi, Gunma 371-0121, Japan.
Kazuhito KurogiLivestock Improvement Association of Japan, Koto-ku, Tokyo 135-0041, Japan.
Shohei TodaLivestock Improvement Association of Japan, Maebashi, Gunma 371-0121, Japan.
Gunma Prefectural Fisheries Experimental Station · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe main goal of our current study was to improve the growth curve of meat animals by decreasing the birth weight while achieving a finishing weight that is the same as that before selection but at younger age.

methodsRandom regression model was developed to derive various selection indices to achieve desired gains in body weight at target time points throughout the fattening process. We considered absolute and proportional gains at specific ages (in weeks) and for various stages (i.e., early, middle, late) during the fattening process.

resultsThe point gain index was particularly easy to use because breeders can assign a specific age (in weeks) as a time point and model either the actual weight gain desired or a scaled percentage gain in body weight.

conclusionThe point gain index we developed can achieve the desired weight gain at any given postnatal week of the growing process and is an easy-to-use and practical option for improving the growth curve.

Indexed as

Birth WeightGrowth CurveIndexRandom RegressionSelection Intensity

Identifiers

PMID38271985
PMCPMC11065704
OpenAlexW4391051935

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.