ELECTRONIC ESTRUS DETECTION IN DAIRY COWS: A REVIEW
Keywords:
Automation, cattle farming, precision animal husbandry, estrous cycleAbstract
Efficiency in detecting estrus is essential to provide viability in animal production, with an effect on the calving interval (IEP), conception rate and fertility in herds subjected to artificial insemination (AI). This condition must be sought, as activities related to reproduction are much more intense and failures would lead to serious management problems, with major economic repercussions. The objective was to present a review of the literature on the electrical detection of estrus in dairy cows, addressing physical activity meters, with the pedometer and the collar; pressure sensitive mount detectors, such as radio telemetry; measurement of electrical impedance of vaginal mucus; video cameras; and method using biosensors to quantify progesterone in milk. It can be concluded that these electronic methods of astro detection are highly effective, especially when they are associated with the visual observation method of estrous detection. Among all the methods, it was found in this study that the pedometer is the most used and most effective. Radio telemetry stands out for monitoring mountain activity, recording the time and duration; It is quite efficient and can be used to indicate the beginning and end of estrus, showing the best time to perform artificial insemination
References
AT-TARAS, E.E.; SPAHR, S.L. Detection
and characterization of estrus in dairy cattle
with an electronic heatmount detector and
an electronic activity tag. Journal Dairy
Science, v.84, n.4, p.792–798, 2001.
AUNGIER, S.P.M.; ROCHE, J.F.;
SHEEHY, M.; CROVE, M.A. Effects of
management and health on the use of
activity monitoring for estrus detection in
dairy cows. Journal Dairy Science, v.95,
n.5, p.2452–2466, 2012.
BREHME, U.; AHLERS, D.; LAUFELD,
P.; SCHEIBL, P.; SCHERPING, E.;
WERNER, D. Brunsterkennung und
Gesundheitsuberwachung mittels
sensorgestutzter Funkdatenlogger. In: Bau,
Technik und Umwelt in der
landwirtschaftlichen Nutztierhaltung,
Beitrage zur 5. Internationalen Tagung in
Hohenheim, 6-7. Marz, 2001. Hrsg.: Institut
fur Agrartechnik der Universitat
Hohenhein, Germany; 2001. p. 44-49.
BREHME, U.; BREHME, A. U.;
STOLLBERGA, U.; HOLZB, R.;
SCHLEUSENER, T. Alt pedometer—new
sensor-aided measurement system for
improvement in oestrus detection.
Computers and electronics in agriculture,
v.62, n.1, p.73–80, 2008.
BRUNASSI, L.A.; MOURA, D.J.; NÄÄS,
I.A.; VALE, M.M.; SOUZA, S.R.L.;
LIMA, K.A.O.; CARVALHO, T.M.R.;
BUENO, L.G.F. Improving detection of
dairy cow estrus using fuzzy logic. Scientia
Agricola, v.67, n.5, p.503-509, 2010.
BRUYÈRE, P.; HÉTREAU, T.;
PONSART, C.; GATIEN, J.; BUFF, S.;
DISENHAUS, C. Can vídeo câmeras
replace visual estrus detection in dairy
cows? Theriogenology, v.77, n.3, p.525-
, 2012.
CAVALIERI, J.; EAGLES, V.; RYAN, M.;
MACMILLAN, K.L. Comparison of four
methods for detection of oestrus in dairy
cows with resynchronised oestrous cycles.
Australian Veterinary Journal, v.81, n. 7,
p.422-425, 2003.
DISKIN, M. G.; SREENAN, J. M.
Expression and detection of oestrus in
cattle. Reprodution Nutrition Development,
v.40, n. 5, p.481–491, 2000.
DRANSFIELD, M.B.; NEBEL, R.L.;
PEARSON, R.E.; WARNICK, L.D. Timing
of insemination for dairy cows identifified
in estrus by a radiotelemetric estrus
detection system. Journal Dairy Science,
v.74, n.2, p.1874-1882, 1998.
FIRK, R.; STAMER, E.; JUNGE, W.;
KRIETER, J. Automation of oestrus
detection in dairy cows: a review. Livestock
Production Science, v.75, n.3 , p.219–232,
FISHER, A.D.R.; MORTON, R.;
DEMPSEY, J.M.A.; HENSHALL, J.M.;
HILL, J.R. Evaluation of a new approach
for the estimation of the time of the LH
surge in dairy cows using vaginal
temperature and electrodeless conductivity
measurements. Theriogenology, v.70, n.7,
p.1065–1074, 2008.
FRIGGENS, N.C.; BJERRING, M.;
RIDDER, C.; HØJSGAARD, S.; LARSEN,
T. Improved detection of reproductive
status in dairy cows using milk
progesterone measurements. Reproduction
in Domestic Animals, v.43, n. Supplement
s2, p.113–121, 2008.
FRIGGENS, N.C.; CHAGUNDA, M.G.G.
Prediction of the reproductive status of
cattle on the basis of milk progesterone
measures: model description.
Theriogenology, v.64, n.1, p.155-190, 2005.
