research data . Dataset . 2020

Beef database for prediction of main environmental challenges to resilience and efficiency in cattle production systems at regional resolution

Quiédeville, Sylvain; Moakes, Simon; Leiber, Florian; Pfeifer, Catherine;
Open Access English
  • Published: 27 May 2020
  • Publisher: Zenodo
Abstract
The beef database comprises average values for a wide range of variables (110 or 119), available in 4 worksheets, and is further differentiated into All Beef, Breeders and Fatteners: BasicFarmType (18 rows), DetailedFarmType (75 rows), ClimateClass+BasicFarmType (270 rows), NUTS+BasicFarmType (2074 rows). Data are omitted when the sample size (n) is below 15, as per the confidentiality agreement under FADN data use rules. A combined farm characterisation database was constructed using two major data sources, the Farm Accountancy Data Network (FADN), and the Gridded Agro-Meteorological Data in Europe (AGRI4CAST). The database initially constructed was further enh...
Subjects
free text keywords: beef, cattle, fadn, climate, climate class, farm type, region, NUTS2, database, efficiency, resilience, EU
Funded by
EC| GenTORE
Project
GenTORE
Genomic management Tools to Optimise Resilience and Efficiency
  • Funder: European Commission (EC)
  • Project Code: 727213
  • Funding stream: H2020 | RIA
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