Evidence map›Paper›PMID 38800737›Full record

ArticleAnimal nutrition (Zhongguo xu mu shou yi xue hui)2024

Effects of the level and source of dietary physically effective fiber on feed intake, nutrient utilization, heat energy, ruminal fermentation, and milk production by Alpine goats.

Raquel V Lourencon, Amlan K Patra, Luana P S Ribeiro, Ryszard Puchala, Wei Wang, Terry A Gipson, Arthur L Goetsch

Abstract read
In one paragraph

Article in Animal nutrition (Zhongguo xu mu shou yi xue hui), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Supplementation withAnimal nutrition (Zhongguo xu mu shou yi xue hui) · 2025
    Article
  2. Article
  3. Article
  4. 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.

Raquel V LourenconAmerican Institute for Goat Research, Langston University, Langston, OK, USA.
Amlan K PatraAmerican Institute for Goat Research, Langston University, Langston, OK, USA.
Luana P S RibeiroAmerican Institute for Goat Research, Langston University, Langston, OK, USA.
Ryszard PuchalaAmerican Institute for Goat Research, Langston University, Langston, OK, USA.
Wei WangAmerican Institute for Goat Research, Langston University, Langston, OK, USA.
Terry A GipsonAmerican Institute for Goat Research, Langston University, Langston, OK, USA.
Arthur L GoetschAmerican Institute for Goat Research, Langston University, Langston, OK, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thirty-two primiparous and 31 multiparous Alpine goats were used to determine influences of diets varying in level and source of forage on performance in early to mid-lactation for 16 wk. Diets consisted of 40%, 50%, 60%, and 70% forage (designated as 40F, 50F, 60F, and 70F, respectively) with 60F and 70F containing coarsely ground grass hay (primarily orchardgrass) and 40F and 50F containing cottonseed hulls, alfalfa pellets, and coarsely ground wheat hay. Diets contained 15.9% to 16.3% crude protein and 37.8%, 42.1%, 53.5%, and 55.4% neutral detergent fiber (NDF) with 10.0%, 15.8%, 50.1%, and 55.5% particle retention on a 19-mm sieve, and 26.1%, 29.6%, 38.3%, and 40.0% physically effective NDF (peNDF) for 40F, 50F, 60F, and 70F, respectively. Dry matter intake (2.71, 2.75, 1.96, and 1.95 kg/d) and milk yield (2.82, 2.71, 2.23, and 2.10 kg/d for 40F, 50F, 60F, and 70F, respectively) were lower (

Indexed as

Alpine goatFeeding behaviorLactationPhysically effective fiberRuminal fermentation

Identifiers

PMID38800737
PMCPMC11127095

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.