Evidence map›Paper›PMID 34066009›Full record

ArticleAnimals : an open access journal from MDPI2021

The Ruminant Farm Systems Animal Module: A Biophysical Description of Animal Management.

Tayler L Hansen, Manfei Li, Jinghui Li, Chris J Vankerhove, Militsa A Sotirova, Juan M Tricarico, Victor E Cabrera, Ermias Kebreab, Kristan F Reed

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Artificial intelligence for animal science: from applications to integrated knowledge systems.Animal frontiers : the review magazine of animal agriculture · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Enteric methane mitigation interventions.Translational animal science · 2022
    Article
  7. 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

9 authors.

Tayler L HansenDepartment of Animal Science, Cornell University, Ithaca, NY 14850, USA.
Manfei LiDepartment of Animal and Dairy Sciences, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0002-0880-8448
Jinghui LiDepartment of Animal Science, University of California, Davis, CA 95616, USA.ORCID 0000-0002-4854-2613
Chris J VankerhoveDepartment of Animal Science, Cornell University, Ithaca, NY 14850, USA.
Militsa A SotirovaDepartment of Animal Science, Cornell University, Ithaca, NY 14850, USA.ORCID 0000-0001-8377-755X
Juan M TricaricoSustainability Research, Innovation Center for US Dairy, Rosemont, IL 60018, USA.ORCID 0000-0002-2101-1564
Victor E CabreraDepartment of Animal and Dairy Sciences, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0003-1739-7457
Ermias KebreabDepartment of Animal Science, University of California, Davis, CA 95616, USA.
Kristan F ReedDepartment of Animal Science, Cornell University, Ithaca, NY 14850, USA.

Funding

National Institute of Food and Agriculture 2020-68014-31466
6 · The paper itself

Abstract

Dairy production is an important source of nutrients in the global food supply, but environmental impacts are increasingly a concern of consumers, scientists, and policy-makers. Many decisions must be integrated to support sustainable production-which can be achieved using a simulation model. We provide an example of the Ruminant Farm Systems (RuFaS) model to assess changes in the dairy system related to altered animal feed efficiency. RuFaS is a whole-system farm simulation model that simulates the individual animal life cycle, production, and environmental impacts. We added a stochastic animal-level parameter to represent individual animal feed efficiency as a result of reduced residual feed intake and compared High (intake = 94% of expected) and Very High (intake = 88% of expected) efficiency levels with a Baseline scenario (intake = 100% of expected). As expected, the simulated total feed intake was reduced by 6 and 12% for the High and Very High efficiency scenarios, and the expected impact of these improved efficiencies on the greenhouse gas emissions from enteric methane and manure storage was a decrease of 4.6 and 9.3%, respectively.

Indexed as

dairy managementMonte Carlo simulationRuFaS

Identifiers

PMID34066009
PMCPMC8151839

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.