Precision Technologies to Address Dairy Cattle Welfare: Focus on Lameness, Mastitis and Body Condition

被引:58
作者
Silva, Severiano R. [1 ]
Araujo, Jose P. [2 ,3 ]
Guedes, Cristina [1 ]
Silva, Flavio [1 ]
Almeida, Mariana [1 ]
Cerqueira, Joaquim L. [1 ,2 ]
机构
[1] Univ Tras Os Montes & Alto Douro, Vet & Anim Res Ctr CECAV, Associate Lab Anim & Vet Sci AL4Anim, P-5000801 Vila Real, Portugal
[2] Inst Politecn Viana do Castelo, Escola Super Agr, Rua D Mendo Afonso 147, Refoios Do Lima, Ponte De Lima, Portugal
[3] Inst Politecn Viana do Castelo, Mt Res Ctr CIMO, Rua D Mendo Afonso 147, P-4990706 Refoios Do Lima, Ponte De Lima, Portugal
关键词
dairy cows; welfare; precision livestock farming; lameness; mastitis; body condition score; behavior; infrared thermography; CONDITION SCORE; AUTOMATIC-MEASUREMENT; CLINICAL MASTITIS; UDDER HEALTH; LOCOMOTION SCORE; MILKING SYSTEMS; GAIT VARIABLES; BACK POSTURE; COWS; WEIGHT;
D O I
10.3390/ani11082253
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Simple Summary The welfare of farm animals is a growing concern in the EU and across the world. In milk production, there is a strong need to assess the welfare of dairy cows. One of the most sound assessment initiatives has been practiced using protocols developed by the Welfare Quality project. These protocols mainly support the assessment of cow welfare with animal-based indicators. However, evaluating these indicators is time-consuming and expensive, so using precision livestock farming (PLF) solutions is a way forward and is becoming a reality in the dairy industry. This review presents advances in PLF solutions, particularly in the last five years, and for assessing the animal-based indicators of lameness, mastitis, and body condition in dairy cattle farming. Specific animal-based indicators that can be used to predict animal welfare have been the core of protocols for assessing the welfare of farm animals, such as those produced by the Welfare Quality project. At the same time, the contribution of technological tools for the accurate and real-time assessment of farm animal welfare is also evident. The solutions based on technological tools fit into the precision livestock farming (PLF) concept, which has improved productivity, economic sustainability, and animal welfare in dairy farms. PLF has been adopted recently; nevertheless, the need for technological support on farms is getting more and more attention and has translated into significant scientific contributions in various fields of the dairy industry, but with an emphasis on the health and welfare of the cows. This review aims to present the recent advances of PLF in dairy cow welfare, particularly in the assessment of lameness, mastitis, and body condition, which are among the most relevant animal-based indications for the welfare of cows. Finally, a discussion is presented on the possibility of integrating the information obtained by PLF into a welfare assessment framework.
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页数:17
相关论文
共 154 条
[21]   Animal Welfare Management in a Digital World [J].
Buller, Henry ;
Blokhuis, Harry ;
Lokhorst, Kees ;
Silberberg, Mathieu ;
Veissier, Isabelle .
ANIMALS, 2020, 10 (10) :1-12
[22]   Towards Farm Animal Welfare and Sustainability [J].
Buller, Henry ;
Blokhuis, Harry ;
Jensen, Per ;
Keeling, Linda .
ANIMALS, 2018, 8 (06)
[23]   Reliability of qualitative behavior assessment (QBA) versus methods with predefined behavioral categories to evaluate maternal protective behavior in dairy cows [J].
Ceballos, Maria Camila ;
Rocha Gois, Karen Camille ;
Sant'Anna, Aline Cristina ;
Wemelsfelder, Francoise ;
da Costa, Mateus Paranhos .
APPLIED ANIMAL BEHAVIOUR SCIENCE, 2021, 236
[24]  
Cerqueira JL, 2018, REV MED VET-TOULOUSE, V169, P30
[25]   Validation of an automated method to count steps while cows stand on a weighing platform and its application as a measure to detect lameness [J].
Chapinal, N. ;
Tucker, C. B. .
JOURNAL OF DAIRY SCIENCE, 2012, 95 (11) :6523-6528
[26]   Measurement of acceleration while walking as an automated method for gait assessment in dairy cattle [J].
Chapinal, N. ;
de Passille, A. M. ;
Pastell, M. ;
Hanninen, L. ;
Munksgaard, L. ;
Rushen, J. .
JOURNAL OF DAIRY SCIENCE, 2011, 94 (06) :2895-2901
[27]   Automated methods for detecting lameness and measuring analgesia in dairy cattle [J].
Chapinal, N. ;
de Passille, A. M. ;
Rushen, J. ;
Wagner, S. .
JOURNAL OF DAIRY SCIENCE, 2010, 93 (05) :2007-2013
[28]  
Cook, 2021, J ANIM SCI LIVEST PR, V5
[29]   Assessment of the multi-criteria evaluation system of the Welfare Quality® protocol for growing pigs [J].
Czycholl, I. ;
Kniese, C. ;
Schrader, L. ;
Krieter, J. .
ANIMAL, 2017, 11 (09) :1573-1580
[30]  
D'Eath, 2020, EC FARM ANIMAL WELFA