Evidence map›Paper›PMID 31077274›Full record

ArticleJournal of animal science2019

Description, evaluation, and validation of the Teagasc Pig Production Model1.

Julia Adriana Calderón Díaz, Laurence Shalloo, Jarkko K Niemi, Ilias Kyriazakis, Michael McKeon, Gerard McCutcheon, Alan Bohan, Edgar G Manzanilla

Abstract readValidation Study
In one paragraph

Article in Journal of animal science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Freedom to Grow: Improving Sow Welfare also Benefits Piglets.Animals : an open access journal from MDPI · 2021
    Article
  7. Article
  8. 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

8 authors.

Julia Adriana Calderón DíazPig Development Department, Teagasc Animal and Grassland Research and Innovation Centre, Fermoy, Co. Cork, Ireland.
Laurence ShallooLivestock Systems Department, Teagasc Animal and Grassland Research and Innovation Centre, Fermoy, Co. Cork, Ireland.
Jarkko K NiemiNatural Resources Institute Finland (Luke), Kampusranta, Seinäjoki, Finland.
Ilias KyriazakisAgriculture, School of Natural and Environmental Science, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
Michael McKeonPig Development Department, Teagasc Animal and Grassland Research and Innovation Centre, Fermoy, Co. Cork, Ireland.
Gerard McCutcheonPig Development Department, Teagasc Oak Park, Co. Carlow, Ireland.
Alan BohanTeagasc Animal and Grassland Research and Innovation Centre, Athenry, Co. Galway, Ireland.
Edgar G ManzanillaPig Development Department, Teagasc Animal and Grassland Research and Innovation Centre, Fermoy, Co. Cork, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Teagasc Pig Production Model (TPPM), a stochastic simulation model of a farrow-to-finish pig farm, was developed to investigate effects of changes in production systems on farm profitability. The model simulates, on a weekly basis, the annual production of a farm. Biological [e.g., herd size, number of litters/sow/year, and mortality rates (%)], physical (e.g., infrastructure), and technical (e.g., feeding practices) variables and their associated costs are included as components of the model. These inputs are used to calculate physical (e.g., feed usage and number of pigs slaughtered) and financial (e.g., annual cash flow, profit and loss account, and balance sheet) outputs. The model was validated using the Delphi method and by comparing the TPPM outputs to data recorded on 20 Irish pig farms through the Teagasc e-Profit monitor system and with complete receipts for the year 2016. Results showed that the TPPM closely simulates physical and financial performance of pig farms indicating that the TPPM can be used with confidence to study pig production systems under Irish conditions. Model applicability was demonstrated by investigating the impact of 2 changes in technical performance: 1) building of extra accommodation to increase body weight (BW) at sale by 15 kg (EXTRA ROOM) and 2) a change in feeding practices by providing finisher feed from 28 kg of BW (EARLY FINISHER) compared with over 38 kg of BW. In both scenarios, the same biological parameters were used. Mortality rates, feed ingredients costs, and price per kg of meat produced were included as stochastic variables with the input distributions derived based on historical data simulated using Monte Carlo sampling using the Microsoft Excel add-in @Risk. Annual mean net profit was €198,101 (90% confidence interval [CI]: €119,606-€275,539) for the TPPM base farm, €337,078 (90% CI: €246,320-€426,809) for the EXTRA ROOM, and €225,598 (90% CI: €146,685-€303,590) for the EARLY FINISHER. EXTRA ROOM was associated with higher costs and required higher income to cover the additional costs. The 90% CI of the EARLY FINISHER was similar to the TPPM base farm while the EXTRA ROOM scenario resulted in a wider confidence interval, suggesting that a change in feeding practices could be a better option for farmers looking to improve profit with minimum investment. Thus, the TPPM could be used to facilitate decision making in farrow-to-finish pig farms.

Indexed as

Models, BiologicalModels, EconomicAnimalsBody WeightComputer SimulationCosts and Cost AnalysisFarmsFemaleLactationMaleMonte Carlo MethodRed MeatStochastic ProcessesSwinebio-economic modelMonte Carlo simulationpig production systemswhole-farm stochastic budgeting

Identifiers

PMID31077274
PMCPMC6606519

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.