Evidence map›Paper›PMID 35369442›Full record

ArticleFrontiers in microbiology2022

Effect of Long-Term Supplementation With Silkworm Pupae Oil on the Methane Yield, Ruminal Protozoa, and Archaea Community in Sheep.

Govindasamy Thirumalaisamy, Pradeep Kumar Malik, Shraddha Trivedi, Atul Purushottam Kolte, Raghavendra Bhatta

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Potential uses of silkworm pupae (Frontiers in insect science · 2024
    Pooled it
  3. Review
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  8. Effect ofFrontiers in microbiology · 2024
    Article
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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

5 authors at 1 institution in 1 country.

Govindasamy ThirumalaisamyICAR-National Institute of Animal Nutrition and Physiology, Bengaluru, India.
Pradeep Kumar MalikICAR-National Institute of Animal Nutrition and Physiology, Bengaluru, India.
Shraddha TrivediICAR-National Institute of Animal Nutrition and Physiology, Bengaluru, India.
Atul Purushottam KolteICAR-National Institute of Animal Nutrition and Physiology, Bengaluru, India.
Raghavendra BhattaICAR-National Institute of Animal Nutrition and Physiology, Bengaluru, India.
National Institute of Animal Nutrition and Physiology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supplementation with lipids and oils is one of the most efficient strategies for reducing enteric methane emission. However, high costs and adverse impacts on fiber degradation restrict the use of conventional oils. Silkworm pupae, a non-conventional oil source rarely used for human consumption in India, could be one of the cheaper alternatives for methane mitigation. The objective of this study was to investigate the effect on sheep of long-term supplementation (180 days) of silkworm pupae oil (SWPO) with two distinct supplementation regimes (daily and biweekly) on daily enteric methane emission, methane yield, nutrient digestibility, rumen fermentation, ruminal archaea community composition, and protozoal population. The effect of the discontinuation of oil supplementation on enteric methane emission was also investigated. Eighteen adult male sheep, randomly divided into three groups (

Indexed as

archaealong-term feedingmethane yieldsheepsilkworm pupae oil

Identifiers

PMID35369442
PMCPMC8964344
OpenAlexW4221092974

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.