Farm 4.0: innovative smart dairy technologies and their applications as tools for welfare assessment in dairy cattle.

Author(s):  
S. Azarpajouh

Abstract The growing world population has increased the demand for meat and milk products and has led to a rapid growth in the scale of cattle enterprises globally. As a result, livestock production would intensify even more with farmers aiming to maximize output per animal unit and it would lower the stockperson per animal ratio. This will result in less time available to monitor and manage individual animals properly, jeopardizing animal health and welfare. The recent advancement in technological and engineering tools and materials such as advances sensors and sensing devices, and data processing and machine learning methods provide effective tools for the dairy industry to control qualitative and quantitative parameters related to dairy cattle health and welfare. This review paper will (a) explain smart dairy technologies, (b) describe on-farm cattle welfare assessment, and (c) discuss sensors applied in automatic cattle welfare assessment.

2020 ◽  
Vol 21 (2) ◽  
pp. 135-138
Author(s):  
Diana M. Short ◽  
Jason E. Lombard

AbstractIn 1991, USDA's National Animal Health Monitoring System (NAHMS) conducted its first dairy study, a baseline assessment that focused on the health and management of heifer calves. During the study, producers ranked respiratory disease among the top two most common health problems affecting dairy calves. Over the last 25 years, U.S. dairy producers have participated in six NAHMS studies, yielding a rich repository of information that has helped identify needs for research, extension, and education in the dairy industry. NAHMS’ most recent dairy study, conducted in 2014, provides the latest estimates on dairy cattle health and includes another in-depth look at heifer-calf health. While overall mortality in calves has decreased, bovine respiratory disease (BRD) remains an important cause of morbidity in calves. This raises the concern that BRD mitigation may be at a standstill on dairies. Research and on-farm experience have done much to elucidate the challenges associated with detection and perceived impacts of this complex disease. Continued development and implementation of new methods for monitoring health and detecting disease will provide additional tools to upend stalemating factors associated with BRD control, helping the dairy industry ‘turn a corner’ on this important disease.


2020 ◽  
Vol 8 (2) ◽  
pp. 851-857
Author(s):  
C Dutta ◽  
RJ Deka ◽  
TK Amonge ◽  
M Sonowal ◽  
M Bhuyan ◽  
...  

Animals ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 1918
Author(s):  
Sujan Sapkota ◽  
Richard Laven ◽  
Kristina Müller ◽  
Nikki Kells

Despite being a leading producer and exporter of dairy products, New Zealand has no industry-recognised welfare assessment protocol. A New Zealand-specific protocol is essential, as almost all dairy farms in New Zealand are pasture-based and housing is rarely used. Therefore, protocols developed for intensive cows are not suitable. The aim of this study was to develop a simple yet practical welfare assessment protocol that could be used to assess the welfare of a dairy herd during one visit timed to occur around milking. Six welfare assessment protocols and four studies of dairy cattle welfare assessments that had some focus on dairy cattle welfare at pasture were used, along with the New Zealand Dairy Cattle Code of Welfare, to identify potential assessments for inclusion in the protocol. Eighty-four potential assessments (20 record-based and 64 that needed assessing on-farm) were identified by this process of welfare assessments. After screening to exclude on-farm assessments that were not relevant, that had only limited practical application in pasture-based dairy cows or that required more time than available, 28 on-farm assessments remained, which were put together with the 20 record-based assessments and were tested for feasibility, practicality and time on two pasture-based dairy farms. Assessments were then identified as suitable, suitable after modification or not feasible. Suitable and modified assessments were then included in the final protocol alongside additional measures specific to New Zealand dairy farms. The final protocol included 24 on-farm assessments and eight record-based assessments. Further testing of these 32 assessments is needed on more dairy farms across New Zealand before the protocol can be used to routinely assess the welfare of dairy cows in New Zealand.


2005 ◽  
Vol 4 (3) ◽  
pp. 223-231 ◽  
Author(s):  
Fabio Napolitano ◽  
Fernando Grasso ◽  
Aldo Bordi ◽  
Carmela Tripaldi ◽  
Federica Saltalamacchia ◽  
...  

2009 ◽  
Vol 234 (5) ◽  
pp. 673-673
Author(s):  
Hussni O. Mohammed ◽  
Korana Stipetic ◽  
Patrick L. McDonough ◽  
Ruben N. Gonzalez ◽  
Daryl V. Nydam ◽  
...  
Keyword(s):  

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
ERCAN ÇATAK ◽  
Ali ATALAY

By obtaining changes on gene sequences of living things with the applied biotechnological methods; The idea of "Genetically Modified Organisms (GMO)", which aims to bring the living creature in question the original gene combinations with the desired characteristics, came to life in the late twentieth century. Despite the high probability that hunger problems may increase with the increasing world population; It is thought that plant breeding with classical farming methods will be insufficient in solving these problems. With various GMO applications developed all over the world, it aims to produce solutions to these problems. With the presence of GMO, it was possible to increase the shelf life of qualitative and quantitative values of the existing foods. In addition, decreases in agricultural use of pesticides used in agricultural struggle and threatening human health with GMO production are noteworthy. However, some concerns about anomalies that may occur in living things fed GMO products remain on the agenda. Because, in the long term, there is no clear and precise information that GMO will not have negative effects on living things; There are many recorded incidents showing their negative effects.


Antibiotics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 829
Author(s):  
Wim Gorssen ◽  
Dominiek Maes ◽  
Roel Meyermans ◽  
Jürgen Depuydt ◽  
Steven Janssens ◽  
...  

The use of antimicrobials in animal production is under public debate, mainly due to the risk of transfer of resistance to pathogenic bacteria in humans. Therefore, measures have been taken during the last few decades to reduce antibiotic usage in animals, for instance, by national monitoring programmes and by improving animal health management. Although some initiatives exist in molecular genetic selection, quantitative genetic selection of animals towards decreased antibiotic usage is an underexplored area to reduce antibiotic usage. However, this strategy could yield cumulative effects. In this study, we derived new phenotypes from on-farm parenteral antibiotic records from commercially grown crossbred finishing pigs used in the progeny test of Piétrain terminal sires to investigate the heritability of antibiotics usage. Parenteral antibiotic records, production parameters and pedigree records of 2238 full-sib pens from two experimental farms in Belgium between 2014 and 2020 were analysed. Heritability estimates were moderate (18–44%) for phenotypes derived from all antibiotic treatments, and low (1–15%) for phenotypes derived from treatments against respiratory diseases only. Moreover, genetic correlations between these new phenotypes and mortality were low to moderate (0.08–0.60) and no strong adverse genetic correlations with production traits were found. The high heritabilities and favourable genetic correlations suggest these new phenotypes, derived from on-farm antibiotics records, to be promising for inclusion in future pig breeding programs to breed for a decrease in antibiotics usage.


2010 ◽  
Vol 1 (2) ◽  
pp. 398-399
Author(s):  
Edouard K. N’Goran ◽  
Valentine C. Yapi Gnaore ◽  
Agathe T. Fantodji

2006 ◽  
Vol 81 (2) ◽  
pp. 177-184 ◽  
Author(s):  
K. Suzuki ◽  
M. Kanameda ◽  
K. Inui ◽  
T. Ogawa ◽  
V.K. Nguyen ◽  
...  

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