Characterization of Dutch dairy farms using sensor systems for cow management

被引:59
作者
Steeneveld, W. [1 ]
Hogeveen, H. [1 ,2 ]
机构
[1] Wageningen Univ, Chair Grp Business Econ, NL-6706 KN Wageningen, Netherlands
[2] Univ Utrecht, Fac Vet Med, Dept Farm Anim Hlth, NL-3584 CL Utrecht, Netherlands
关键词
dairy; sensor; survey; investment; AUTOMATIC MILKING SYSTEM; ESTRUS DETECTION; ACTIVITY METERS; DETECTING COWS; MASTITIS; LAMENESS; CATTLE;
D O I
10.3168/jds.2014-8595
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
To improve cow management in large dairy herds, sensors have been developed that can measure physiological, behavioral, and production indicators on individual cows. Recently, the number of dairy farms using sensor systems has increased. It is not known, however, to what extent sensor systems are used on dairy farms, and the reasons why farmers invest or not in sensor systems are unclear. The first objective of this study was to give an overview of the sensor systems currently used in the Netherlands. The second objective was to investigate the reasons for investing or not investing in sensor systems. The third objective was to characterize farms with and without sensor systems. A survey was developed to investigate first, the reasons for investing or not in sensor systems and, then, how the sensor systems are used in daily cow management. The survey was sent to 1,672 Dutch dairy farmers. The final data set consisted of 512 dairy farms (response rate of 30.6%); 202 farms indicated that they had sensor systems and 310 farms indicated that they did not have sensor systems. A wide variety of sensor systems was used on Dutch dairy farms; those for mastitis detection and estrus detection were the most-used sensor systems. The use of sensor systems was different for farms using an automatic milking system (AMS) and a conventional milking system (CMS). Reasons for investing were different for different sensor systems. For sensor systems attached to the AMS, the farmers made no conscious decision to invest: they answered that the sensors were standard in the AMS or were bought for reduced cost with the AMS. The main reasons for investing in estrus detection sensor systems were improving detection rates, gaining insights into the fertility level of the herd, improving profitability of the farm, and reducing labor. Main reasons for not investing in sensor systems were economically related. It was very difficult to characterize farms with and without sensor systems. Farms with CMS and sensor systems had more cows than CMS farms without sensor systems. Furthermore, farms with sensor systems had fewer labor hours per cow compared with farms without sensor systems. Other farm characteristics (age of the farmer, availability of a successor, growth in herd size, milk production per cow, number of cows per hectare, and milk production per hectare) did not differ for farms with and without sensor systems.
引用
收藏
页码:709 / 717
页数:9
相关论文
共 28 条
  • [1] Bar D., 2010, Proceedings of the first North American conference precision dairy management. March 2-5, P214
  • [2] Assessing the potential value for an automated dairy cattle body condition scoring system through stochastic simulation
    Bewley, J. M.
    Boehlje, M. D.
    Gray, A. W.
    Hogeveen, H.
    Kenyon, S. J.
    Eicher, S. D.
    Schutz, M. M.
    [J]. AGRICULTURAL FINANCE REVIEW, 2010, 70 (01) : 126 - +
  • [3] The profitability of automatic milking on Dutch dairy farms
    Bijl, R.
    Kooistra, S. R.
    Hogeveen, H.
    [J]. JOURNAL OF DAIRY SCIENCE, 2007, 90 (01) : 239 - 248
  • [4] Short communication: Decrease in rumination time as an indicator of the onset of calving
    Buecher, S.
    Sundrum, A.
    [J]. JOURNAL OF DAIRY SCIENCE, 2014, 97 (05) : 3120 - 3127
  • [5] Automated methods for detecting lameness and measuring analgesia in dairy cattle
    Chapinal, N.
    de Passille, A. M.
    Rushen, J.
    Wagner, S.
    [J]. JOURNAL OF DAIRY SCIENCE, 2010, 93 (05) : 2007 - 2013
  • [6] CRV, 2013, ANN REP 2013
  • [7] Espada E., 2002, Proceedings Conf. Robotic Milking, P28
  • [8] Automation of oestrus detection in dairy cows: a review
    Firk, R
    Stamer, E
    Junge, W
    Krieter, J
    [J]. LIVESTOCK PRODUCTION SCIENCE, 2002, 75 (03): : 219 - 232
  • [9] Prediction of the reproductive status of cattle on the basis of milk progesterone measures: model description
    Friggens, NC
    Chagunda, MGG
    [J]. THERIOGENOLOGY, 2005, 64 (01) : 155 - 190
  • [10] Evaluation of a Neck Mounted 2-Hourly Activity Meter System for Detecting Cows About to Ovulate in Two Paddock-Based Australian Dairy Herds
    Hockey, C. D.
    Morton, J. M.
    Norman, S. T.
    McGowan, M. R.
    [J]. REPRODUCTION IN DOMESTIC ANIMALS, 2010, 45 (05) : E107 - E117