A Decision Support System for Economically Sustainable Sheep and Goat Farming

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 an...

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Published inAnimals (Basel) Vol. 10; no. 12; p. 2421
Main Authors Vouraki, Sotiria, Skourtis, Ioannis, Psichos, Konstantinos, Jones, Wendy, Davis, Carol, Johnson, Marion, Rupérez, Leticia Riaguas, Theodoridis, Alexandros, Arsenos, Georgios
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 17.12.2020
MDPI
Subjects
Agriculture
Algorithms
Birth weight
case studies
Common Agricultural Policy
dairy goats
dairy sheep
Decision making
decision support
Decision support systems
economic sustainability
efficiency
Energy
environmental sustainability
Farm management
Farmers
Farms
finance
France
goat
Goats
Greece
Internet
management
Management decisions
meat
milk
Milk production
prediction
production systems
profitability
profits and margins
Proteins
Sheep
Spain
United Kingdom
Greece
United Kingdom > UK
Europe
United Kingdom
France
Spain
efficiency
web application
management
production systems
decision support
goat
sheep
Online AccessGet full text
ISSN2076-2615
2076-2615
DOI10.3390/ani10122421

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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.
AbstractList 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.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.
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.
Simple SummaryThe viability of the European sheep and goat sector is threatened by market, policy, social and technical challenges. To address such challenges, innovations for efficient farm management, especially with decision support capabilities, are considered a strategic priority. The iSAGEDSS is a web application, based on the Happy GoatS solution, which allows dairy and meat small ruminant farmers to make annual management plans by testing future what-if scenarios. It is designed for the meat sheep production system in the United Kingdom and Spain, the dairy sheep production system in France and Greece and the dairy goat production system in Greece. Moreover, it addresses all important farm parameters (flock size, production, processing, grazing, feeding, income and costs and farm prices) and utilizing an energy and protein-based algorithm for nutritional management assessment it produces reports, which are focused on profitability and productivity. Environmental-related figures are also estimated. Results are illustrated with simple and easily understood charts and plots. Case study application results showed high prediction accuracy and demonstrated the ability of the system to promote efficient farm management. In this regard, iSAGEDSS is expected to help farmers to adjust to the challenges faced by the sector and remain sustainable.AbstractThe 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.
Author Rupérez, Leticia Riaguas
Arsenos, Georgios
Psichos, Konstantinos
Jones, Wendy
Skourtis, Ioannis
Theodoridis, Alexandros
Vouraki, Sotiria
Johnson, Marion
Davis, Carol
AuthorAffiliation 3 The Sheep Centre, National Sheep Association, Malvern, Worcestershire WR13 6PH, UK; wendyjones640@gmail.com or
5 Organic Research Centre, Trent Lodge, Stroud Rd, Cirencester GL7 6JN, UK; marion.j@organicresearchcentre.com
6 Oviaragón Pastores Cooperative Group, 50014 Zaragoza, Spain; lriaguas@oviaragon.com
7 Laboratory of Animal Production Economics, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece; alextheod@vet.auth.gr
1 Laboratory of Animal Husbandry, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece; arsenosg@vet.auth.gr
2 Integrated Information Technology and Digital Communication, 11525 Athens, Greece; yannis@integrated.gr (I.S.); dinospsichos@gmail.com (K.P.)
4 Agriculture and Horticulture Development Board, Kenilworth, Warwickshire CV8 2TL, UK; Carol.Davis@ahdb.org.uk
AuthorAffiliation_xml – name: 5 Organic Research Centre, Trent Lodge, Stroud Rd, Cirencester GL7 6JN, UK; marion.j@organicresearchcentre.com
– name: 3 The Sheep Centre, National Sheep Association, Malvern, Worcestershire WR13 6PH, UK; wendyjones640@gmail.com or
– name: 6 Oviaragón Pastores Cooperative Group, 50014 Zaragoza, Spain; lriaguas@oviaragon.com
– name: 2 Integrated Information Technology and Digital Communication, 11525 Athens, Greece; yannis@integrated.gr (I.S.); dinospsichos@gmail.com (K.P.)
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– name: 7 Laboratory of Animal Production Economics, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece; alextheod@vet.auth.gr
– name: 4 Agriculture and Horticulture Development Board, Kenilworth, Warwickshire CV8 2TL, UK; Carol.Davis@ahdb.org.uk
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Issue 12
Keywords efficiency
web application
management
production systems
decision support
goat
sheep
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Snippet The European sheep and goat sector is characterized by low professionalization and management training. Moreover, it is fragmented in terms of production aims...
Simple SummaryThe viability of the European sheep and goat sector is threatened by market, policy, social and technical challenges. To address such challenges,...
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SubjectTerms Agriculture
Algorithms
Birth weight
case studies
Common Agricultural Policy
dairy goats
dairy sheep
Decision making
decision support
Decision support systems
economic sustainability
efficiency
Energy
environmental sustainability
Farm management
Farmers
Farms
finance
France
goat
Goats
Greece
Internet
management
Management decisions
meat
milk
Milk production
prediction
production systems
profitability
profits and margins
Proteins
Sheep
Spain
United Kingdom
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Title A Decision Support System for Economically Sustainable Sheep and Goat Farming
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