scholarly journals Türkiye'deki bir süt çiftliğinde Welfare Quality® kriterlerine göre hayvan refahının değerlendirmesi

2020 ◽  
Author(s):  
Nilifer ÇOBAN ◽  
Ekrem LAÇİN ◽  
Ömer COBAN ◽  
Murat GENÇ
Keyword(s):  
Welfare Quality

scholarly journals Navigating the iceberg: reducing the number of parameters within the Welfare Quality® assessment protocol for dairy cows

animal ◽  
2014 ◽  
Vol 8 (12) ◽  
pp. 1978-1986 ◽  
Author(s):  
C.A.E. Heath ◽  
W.J. Browne ◽  
S. Mullan ◽  
D.C.J. Main
Keyword(s):  
Dairy Cows ◽  
Assessment Protocol ◽  
Welfare Quality

scholarly journals Implementation of the Welfare Quality® protocol in dairy farms raised on extensive, semi-intensive and intensive systems in Costa Rica

2017 ◽  
Vol 5 (4) ◽  
pp. 132-138 ◽  
Author(s):  
Adalinda Hernández ◽  
Sandra Estrada König ◽  
Juan Jose Romero Zúñiga ◽  
Carlos Salvador Galina ◽  
Charlotte Berg ◽  
...  
Keyword(s):  
Costa Rica ◽  
Dairy Farms ◽  
Welfare Quality

Relevance and implementation of Welfare Quality® assessment systems

2013 ◽  
pp. 201-214 ◽  
Author(s):  
Andy Butterworth ◽  
Harry Blokhuis ◽  
Bryan Jones ◽  
Isabelle Veissier
Keyword(s):  
Assessment Systems ◽  
Welfare Quality

ADAPTACIÓN DEL PROTOCOLO WELFARE QUALITY® PARA EVALUAR BIENESTAR ANIMAL EN OVINOS

2021 ◽  
pp. 1-17
Author(s):  
Garza Camargo Daniela Montserrat ◽  
Luna Blasio Arturo ◽  
Osorio-Avalos Jorge
Keyword(s):  
Welfare Quality

scholarly journals Test−Retest Reliability of the ‘Welfare Quality® Animal Welfare Assessment Protocol for Sows and Piglets’. Part 1. Assessment of the Welfare Principle of ‘Appropriate Behavior’

Animals ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 398 ◽  
Author(s):  
Friedrich ◽  
Krieter ◽  
Kemper ◽  
Czycholl
Keyword(s):  
Animal Welfare ◽  
Correlation Coefficient ◽  
Retest Reliability ◽  
Welfare Assessment ◽  
Appropriate Behavior ◽  
Assessment Protocol ◽  
Smallest Detectable Change ◽  
Welfare Quality ◽  
Animal Welfare Assessment ◽  
Test Retest Reliability

The present study’s aim was to assess the test−retest reliability (TRR) of the ‘Welfare Quality® animal welfare assessment protocol for sows and piglets’ focusing on the welfare principle ‘appropriate behavior’. TRR was calculated using Spearman’s rank correlation coefficient (RS), intraclass correlation coefficient (ICC), smallest detectable change (SDC), and limits of agreement (LoA). Principal component analysis (PCA) was used for deeper analysis of the Qualitative Behavior Assessment (QBA). The study was conducted on thirteen farms in Northern Germany, which were visited five times by the same observer. Farm visits 1 (F1; day 0) were compared to farm visits 2 to 5 (F2–F5). The QBA indicated no TRR when applying the statistical parameters introduced above (e.g., ‘playful‘ (F1–F4) RS 0.08 ICC 0.00 SDC 0.50 LoA [−0.62, 0.38]). The PCA detected contradictory TRR. Acceptable TRR could be found for parts of the instantaneous scan sampling (e.g., negative social behavior (F1–F3) RS 0.45 ICC 0.37 SDC 0.02 LoA [−0.03, 0.02]). The human−animal relationship test solely achieved poor TRR, whereas scans for stereotypies showed sufficient TRR (e.g., floor licking (F1–F4) RS 0.63 ICC 0.52 SDC 0.05 LoA [−0.08, 0.04]). Concluding, the principle ‘appropriate behavior’ does not represent TRR and further investigation is needed before implementation on-farm.

scholarly journals Welfare Quality® for dairy cows: towards a sensor-based assessment

2020 ◽  
Vol 87 (S1) ◽  
pp. 28-33 ◽  
Author(s):  
Francisco Maroto Molina ◽  
Carlos C. Pérez Marín ◽  
Laura Molina Moreno ◽  
Estrella I. Agüera Buendía ◽  
Dolores C. Pérez Marín
Keyword(s):  
Dairy Cows ◽  
Dairy Farms ◽  
Assessment Method ◽  
Sensor Data ◽  
Objective Data ◽  
Livestock Farming ◽  
Precision Livestock Farming ◽  
Non Invasive ◽  
Social Concerns ◽  
Welfare Quality

AbstractThis Research Reflection addresses the possibilities for Welfare Quality® to evolve from an assessment method based on data gathered on punctual visits to the farm to an assessment method based on sensor data. This approach could provide continuous and objective data, while being less costly and time consuming. Precision Livestock Farming (PLF) technologies enabling the monitorisation of Welfare Quality® measures are reviewed and discussed. For those measures that cannot be assessed by current technologies, some options to be developed are proposed. Picturing future dairy farms, the need for multipurpose and non-invasive PLF technologies is stated, in order to avoid an excessive artificialisation of the production system. Social concerns regarding digitalisation are also discussed.

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