Evidence map›Paper›PMID 42602769›Full record

ArticleAnimal nutrition (Zhongguo xu mu shou yi xue hui)2026

Using intelligent behavioral monitoring to assess the impact of dietary energy and protein on growth, digestion, metabolism, and behavior of young female yaks.

Duoting Wu, Lushun Huo, Jiajun Wang, Zhisheng Wang, Rui Hu, Liyuan Shi, Yingqi Peng, Huawei Zou, Fali Wu, Yahui Jiang and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animal nutrition (Zhongguo xu mu shou yi xue hui), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Duoting WuAnimal Nutrition Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China.
Lushun HuoAnimal Nutrition Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China.
Jiajun WangAnimal Nutrition Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China.
Zhisheng WangAnimal Nutrition Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China.
Rui HuAnimal Nutrition Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China.
Liyuan ShiAnimal Nutrition Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China.
Yingqi PengCollege of Mechanical and Electrical Engineering, Sichuan Agricultural University, Chengdu 611130, Sichuan, China.
Huawei ZouAnimal Nutrition Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China.
Fali WuAnimal Nutrition Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China.
Yahui JiangAnimal Nutrition Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China.
Quanhui PengAnimal Nutrition Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China.
Jianxin XiaoAnimal Nutrition Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China.
Yiping TangAnimal Nutrition Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the effects of graded dietary energy and protein levels on growth, nutrient utilization, and behavior in housed young female yaks, integrating automated behavior monitoring via a YOLO-based computer vision system. Twenty-four 17-month-old Maiwa yaks (160.43 ± 14.54 kg) were randomly assigned to three dietary treatments (

Indexed as

Behavioral monitoringEnergy-protein levelGrowth performanceYoung female yak

Identifiers

PMID42602769
PMCPMC13474638

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.