Evidence map›Paper›PMID 33348834›Full record

ArticleAnimals : an open access journal from MDPI2020

A Decision Support System for Economically Sustainable Sheep and Goat Farming.

Sotiria Vouraki, Ioannis Skourtis, Konstantinos Psichos, Wendy Jones, Carol Davis, Marion Johnson, Leticia Riaguas Rupérez, Alexandros Theodoridis, Georgios Arsenos

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. FarmDain, a Decision Support System for Dairy Sheep and Goat Production.Animals : an open access journal from MDPI · 2023
    Article
  3. 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.

Sotiria VourakiLaboratory of Animal Husbandry, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece.ORCID 0000-0003-4339-2051
Ioannis SkourtisIntegrated Information Technology and Digital Communication, 11525 Athens, Greece.
Konstantinos PsichosIntegrated Information Technology and Digital Communication, 11525 Athens, Greece.
Wendy JonesThe Sheep Centre, National Sheep Association, Malvern, Worcestershire WR13 6PH, UK.
Carol DavisAgriculture and Horticulture Development Board, Kenilworth, Warwickshire CV8 2TL, UK.
Marion JohnsonOrganic Research Centre, Trent Lodge, Stroud Rd, Cirencester GL7 6JN, UK.
Leticia Riaguas RupérezOviaragón Pastores Cooperative Group, 50014 Zaragoza, Spain.
Alexandros TheodoridisLaboratory of Animal Production Economics, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece.ORCID 0000-0001-8524-6218
Georgios ArsenosLaboratory of Animal Husbandry, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece.ORCID 0000-0003-3224-5128

Funding

Horizon 2020 Framework Programme 679302
6 · The paper itself

Abstract

The European sheep and goat sector is characterized by low professionalization and management training. Moreover, it is fragmented in terms of production aims and farming systems. Here, iSAGEDSS, a web-based application allowing dairy and meat small ruminant farmers in different countries to make annual management plans by testing future scenarios, is presented. Data were obtained for the meat sheep (United Kingdom and Spain), dairy sheep (France and Greece) and dairy goat production systems (Greece) from partners of the Innovation for Sustainable Sheep and Goat Production in Europe (iSAGE) project. These were used to set default values and ranges for all important farm parameters in each system and country. An algorithm was developed assessing nutritional management and its impact on production and financial performance. Reports focus on profitability, productivity and environmental sustainability. A case study in three dairy sheep farms in Greece was performed. In each case, an evaluation scenario was created using actual farm data that were compared with the estimated ones. Two scenarios testing management decisions for gross margin maximization and milk pricing fluctuations were created. Application results showed high prediction accuracy for gross margin and production estimation (error of circa 9% and 4%, respectively). Moreover, the ability to promote financial, production and grazing management efficiency was demonstrated.

Indexed as

decision supportefficiencygoatmanagementproduction systemssheepweb application

Identifiers

PMID33348834
PMCPMC7766113

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.