Ti-Jean-l’Intrépide (French Edition)


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No change in locomotion was seen one month after AM installation. The scores in Denmark and UK increased slightly by 3 months after installation, but not significant. In the UK the average score increased on seven farms whilst unchanged on 6 farms. Scoring was continued on 12 of the UK farms.

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Twelve months after installation of AMS the lameness has increased significantly. Prior to installation eleven of fourteen UK herds were grazed but only six after installation. The poorer locomotion may reflect the increase in constant housing Hillerton et al, The overall impact of conversion to AM was assessed by comparing how each individual farm handled the main indicators of animal health during and after the transition to automatic milking. Comparing 12 Dutch farms only one farm improved in locomotion, body condition as well as cell counts.

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Overall, little change was apparent. Locomotion improved in five herds and deteriorated in five herds. Body condition score decreased in eight herds but only by a small amount. It increased in two herds but not making the cows any fatter, just more typical. The only major deterioration found was an increase in somatic cell count and the proportion of cows with a cell count above a threshold, where only two of the herds produced better quality milk.

Overall there was little evidence of major changes occurring in the common measures of fertility. None of the changes were statistically significant but all suggestive of poorer fertility, at least in the transition period from conventional milking to AM. Hillerton et al conclude that no major problems in converting from conventional milking to AM could be identified but equally none of the 44 farms has been found to achieve a substantial improvement in any aspect of cow health.

The transition period to AMS comprises a period of higher risk to health that extends from weeks before installation when resources start to be diverted from cow management. The length of the transition will vary on individual farms related to many unique factors. Several potential problems may develop in the longer term and anticipation of these is necessary. A large study to risk factors related with automatic milking in The Netherlands Neijenhuis et al, showed that risk factors for mastitis are more or less comparable with those found at conventional milking. However the udder health status in the period just before the transition to automatic milking showed a large correlation with the udder health status afterwards.

Other factors are mainly related to management strategies and the use of information and data from the AM-system. Investment required for AM-systems are much higher than for conventional milking systems and thus the fixed costs of milking are higher. However more milk with less labour means that the costs of milking per kg of milk will decrease.

Theoretically, with an AM-system more cows can be kept with the same labor force than with conventional milking, but this may involve additional investments in buildings, land or feed and perhaps in milk quota. On a farm with more than one full time worker the possibility exists to reduce labor input and thus costs. Quite often that does not happen and the time saved as a result of lower labor requirement is used for personal activities. Meskens and Mathijs found that two third of AM-farmers state social reasons for investing in automatic milking, such as increased labor flexibility, improved social life and health concerns.

In parts of North America, with large-size herds and numerous milkers, it may turn out that savings on labor costs may become a decisive motive to implement automatic milking.

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Several simulation models have been developed to calculate the pure economic effect of investment in automated milking. The RFI-value calculates the annual accumulated return from increased milk yield, savings in labor, and savings in not investing in a milking parlor and divides this by the annual costs of the AM-system. The model can use farm specific factors and circumstances to calculate the RFI-value. Figure 3 shows the results of a combined sensitivity analysis illustrating that increased milk yield and labor savings are essential factors regarding the economy of automatic milking.

American models Rodenburg, ; Rotz et al, suggest that on large farms, as the hours of use of large automated milking parlors increase, their relative economic advantage over AM-systems increases.

These studies showed that on farms with 60 to cows, capital investment in automatic milking is only slightly higher than in conventional milking systems, in part because of smaller space requirements than for parlors with large holding areas. Lower labor input for AM-systems makes them competitive in this herd size range.

For herds with more than — cows, extending the hours of use of conventional parlors, without additional capital investment made parlor milking much more efficient.


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It follows that in the central and western United States, where herds of to several thousand cows predominate, widespread adoption of automatic milking will not occur unless capital cost of these systems decrease or labor costs increase substantially. Since both of these parameters are highly likely to trend in this direction, more widespread adoption of automatic milking in nearly all areas of the developed world would appear to be only a matter of time.

Economic results from commercial farms show that the use of AM-systems in general is profitable, although highly depending on the extra milk yield and labor savings. A Dutch case control study Bijl et al, between farms with AM-systems and farms with conventional milking systems showed no differences in margin, although fixed costs for the AM-farms were higher. So when deciding between investment in an AM-system or in a conventional milking system, dairy farmers must weigh decreased labor needs for the AM-system against the increased fixed costs of milking with an AM-system.

Therefore in many cases adoption of an AM-system is for many dairy farmers a socio-economic decision, rather than just a purely economic decision Mathijs, ; Bijl et al, The number of farms milking with automatic milking has increased significantly since In areas where labor is expensive or in short supply automatic milking is a valid alternative to traditional parlor milking. However if labor is available, and particularly where herd sizes are large conventional milking, often with rotary or rapid exit parlors equipped with features to increase throughput per man hour will remain popular.

The introduction of automatic milking has a large impact on the farm and affects all aspects of dairy farming. Because milking is voluntarily there is large variation in milking intervals. Both farm management and the lifestyle of the farmer is altered by automatic milking. AM-systems require a higher investment than conventional milking systems but increased milk yields and reduced labor may lead to lower fixed costs per kg milk and increased margins per FTE.

Successful adoption of automatic milking depends on the management skills of the farmer and the barn layout and farming conditions. Animal health and well-being is not negatively affected by automatic milking, but till now no particular benefits for the health of the cows have been found. Grazing is a common routine in many countries and although grazing with automatic milking requires extra attention from the herdsman, grazing is still profitable.

New solutions like mobile milking systems might be an alternative for large herds. Improved sensor technology will help farmers to manage the individual cow within the herd. A better understanding of the characteristics of automatic milking systems will help farmers to make the right decision. Both conventional and automatic milking will be used on dairy farms in modern dairy countries in the foreseeable future. Ouweltjes, R. Zom, E. Increasing economic profit of dairy production utilizing individual real time process data. Cox , pp. Berentsen, B. Engel, C. Oude Lansink, Accepted for publication J.

Dairy Sci. Arendzen I, A. J van Scheppingen, , Economical sensitivity of four main parameters defining the room for investement of AM-systems on dairy farms, in: Robotic Milking, Proceedings of the international symposium held in Lelystad, pp Bach, A. Devant, C. Igleasias, and A.

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Ferrer, , Forced traffic in automatic milking systems effectively reduces the need to get cows, but alters eating behavior and does not improve milk yield of dairy cattle, Journal of Dairy Science — Bijl, R. Kooistra, and H. De Haan, M. De Koning C. Ouweltjes, , Maximising the milking capacity of an automatic milking system, in: Robotic Milking, Proceedings of the international symposium held in Lelystad, pp De Koning, C.

Slaghuis, Y. In: A. Meijering, H. Hogeveen C. Erdman, R. Fixed yield responses to increased milking frequency.


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Journal of Dairy Science Harms, J. Untersuchungen zum Einsatz verschiedener Varianten des Tierumtriebs bei automatischen Melksystemen Einboxenanlagen. Automatic milking — A better understanding. Hogeveen, H. Jagtenberg Free and one-way cow traffic in combination with automatic milking, in J. Lenssinck, A. Philipsen, R. Ipema, A. Free fatty acids; influence of milking frequency. ISO, , Automatic milking installations -- Requirements and testing.

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