Robot milking and relationship with culling rate in dairy cows

Bugueiro, Ana; Fouz, Ramiro; Camino, F.; Yus, E.; Dieguez, Francisco

doi:10.1017/s1751731118002896

Cited by 14 publications

(14 citation statements)

References 15 publications

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“…Three times per day milking and use of a custom heifer grower led to unfavourable trends in involuntary culling. Dairy farms in Spain that switched from conventional parlours to automated milking systems reported lower risk of death or emergency slaughter, but higher risk of culling due to low production, udder problems, infertility or lameness (Bugueiro et al, 2019). These higher risks are likely due to dairy farmers wanting to have mobile, easy to milk high-producing cows that do not need help in their automated milking systems.…”

Section: Productive Lifespan Of Dairy Cowsmentioning

confidence: 99%

Review: Overview of factors affecting productive lifespan of dairy cows

Vries

Marcondes

2020

Animal

145

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The average productive lifespan is approximately 3 to 4 years in countries with high-producing dairy cows. This is much shorter than the natural life expectancy of dairy cattle. Dairy farmers continue to cull cows primarily for reasons related to poor health, failure to conceive or conformation problems prior to culling. These reasons may indicate reduced welfare leading up to culling. Improvements in health care, housing and nutrition will reduce forced culling related to these welfare reasons. However, productive lifespan has remained similar in decades, despite large improvements in cow comfort and genetic selection for the ability to avoid culling. On the other hand, genetic progress for economically important traits is accelerating within the last decade, which should slightly shorten the average economically optimal productive lifespan. A major driver of productive lifespan is the availability of replacement heifers that force cows out when they calve. The average productive lifespan could be extended by reducing the supply of dairy heifers, which would also have benefits for environmental sustainability. Improvements in culling decision support tools would strengthen economically optimal replacement decisions. In conclusion, major factors of the relatively short productive lifespan of dairy cows are welfare-related, but other economic factors like supply of heifers, genetic progress and non-optimal decision-making also play important roles.

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Section: Productive Lifespan Of Dairy Cowsmentioning

confidence: 99%

Review: Overview of factors affecting productive lifespan of dairy cows

Vries

Marcondes

2020

Animal

145

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“…Before AMS introduction, average herd size was 88.5 cows, producing on average 9,178 kg/cow per year. Following AMS adoption, herd size, milk yield, and culling rate increased on average by 11.3 cows, 441 kg/cow per year, and 1.3%, respectively, and calving interval decreased by 7 d. Bugueiro et al (2019) reported similar results regarding the increase in milk yield and culling rate following AMS transition in Spanish herds. Number of cows per AMS unit averaged 54.4 cows, which is similar to that reported by Castro et al (2012) and less than the typically described AMS capacity of 60 milking cows (Rotz et al, 2003).…”

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confidence: 53%

Performance perception of Canadian dairy producers when transitioning to an automatic milking system

et al. 2021

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A survey was conducted to evaluate the ability of dairy producers to discern changes in cow-average milk yield and somatic cell count (SCC) when transitioning to an automatic milking system. On average, dairy producers were able to discern actual milk yield and SCC changes. Nevertheless, 64% of the respondents perceived an increase in milk yield and 61% perceived a decrease in SCC after the milking system change, whereas it was not the case in reality. These results indicate that some dairy producers either distorted their actual milk yield and SCC changes or were not aware of those changes. Highlights• This study focused on producer perception after adoption of an automated milking system. • A total of 39.4% of dairy producers accurately perceived their actual milk yield changes, and 46.7% of dairy producers accurately perceived their actual SCC changes. • A number of dairy producers distorted their actual performance changes.

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“…As a result of this situation, the number of farms has been reduced [27] and this has given way to the intensification of farms in terms of size and production per animal [26,67]. In this scenario, new developments and technologies appeared to ease the work in the farms and to increase the productivity, as is the case of the AMS (Automatic Milking System) [68,69]. Besides, according to [57] in their studies, it has also brought about a clear tendency to the association of farms into cooperatives in order to be able to meet the demands of the market.…”

Section: Area Of Studymentioning

confidence: 99%

Factors Affecting e-Government Adoption by Dairy Farmers: A Case Study in the North-West of Spain

Vázquez-López

Pérez

2021

Future Internet

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With the objective of assessing the farmers’ situation regarding the use of the ICT and their relations with the electronic government, a case study consisting in the realization of 34 face-to-face surveys was conducted between February and March 2020 in dairy farms in the region of Galicia (Spain). The sample was selected according to one of the most important online journals in the farming sector at a national level. From the census, we chose those farms considered most representative taking into account the main criteria: the level of PAC (Common Agrarian Politics) subsidies and milk production (litres/cow and year). The results show that the majority of the farmers used the internet, but on many an occasion, they were discontented in relation to the poor connection quality in their farms. In regard to the use of the electronic government for procedures related to their farms, many of them were able to perform them through the government website; however, there were procedures which the users defined as “complex” and which had to be outsourced to authorised entities. The results also show that the farmers do want to employ the e-government, mainly because of the time and cost saving; however, the current web pages do not meet the users’ expectations. Finally, this situation, applied to a region placed among the 10 most productive regions of milk, is comparable to what happens in other regions.

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Robot milking and relationship with culling rate in dairy cows

Cited by 14 publications

References 15 publications

Review: Overview of factors affecting productive lifespan of dairy cows

Review: Overview of factors affecting productive lifespan of dairy cows

Performance perception of Canadian dairy producers when transitioning to an automatic milking system

Factors Affecting e-Government Adoption by Dairy Farmers: A Case Study in the North-West of Spain

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