novel approaches to expression and detection of oestrus in dairy cows
novel approaches to expression and detection of oestrus in dairy cows novel approaches to expression and detection of oestrus in dairy cows
cows in oestrus (Kiddy, 1977). Hence it should be able to greatly improve the accuracy of detection. This method of detection therefore improves upon existing methods by monitoring 2 different behaviours (standing to be mounted and mounting), with the potential to include activity monitoring in future developments to UWB. This follows from research suggesting that detection rates are improved when methods of detection are combined (Peralta et al., 2005;Lovendahl et al., 2008) for use as one complete method. Another previously reported method of oestrous detection, which is similar to UWB in the way it monitors the cows in all dimensions for both primary and secondary oestrous behaviour is 4sight. 4sight monitors cows through an image database containing images of 4 sides of the cow for identification, and is an optical digital surveillance system identifying cows in heat when they break a photosensitive beam. This method has reported 90% heat detection rate in a commercial situation, although conception rate is reportedly poor (Esslemont, 2006). However this method has not succeeded widely in the commercial sector compared to the various methods of activity monitoring available. UWB has the potential to succeed because of its ability to monitor individual cows in 3D with precision. Detection rates are strongly linked to conception rate (Roelofs et al., 2010), thereby improving detection rate enhances the potential to improve conception rate, and provides an opportunity to adhere to strict calving intervals. Furthermore, although the detection rate reported for UWB is comparable with existing methods such as activity monitoring (At-Taras and Spahr, 2001) and current commercial systems of automated online progesterone monitoring (Friggens et al., 2008) it has the advantage of reporting oestrus in real-time. Therefore unlike retrospective reports of 2 hourly activity units and weak correlations with time of ovulation, the onset of oestrus is known and insemination can occur within 4 to 12 hours (Dransfield et al., 1998). In addition UWB monitors mounting and standing to be mounted which are both strongly linked to the timing of ovulation (Roelofs et al., 2005) and the likelihood of UWB improving conception rates via accurate detection is increased. Further development to the UWB prototype is required and future work would be to monitor oestrous detection in several larger herds. This would determine the possible improvements to oestrous detection rate and by using the real-time properties of UWB investigate the effect on conception 158
ate. By using UWB in a commercial situation a true estimation of the efficacy of UWB as a method of oestrous detection will be gained and comparisons can be made between UWB and current detection methods. Further research possibilities using UWB are discussed in Chapter 5 and could be used to measure behaviour as an indicator of cow welfare and health. The novelty of UWB is 3D position recording and relaying of information in real-time. Cows typically spend 11 hours per 24 hours lying down (Ito et al., 2009) which is a strong indicator of cow comfort (Munksgaard et al., 2005). Using 3D positioning we can determine whether cows have an increased lying time which can indicate lameness (Walker et al., 2008b), and particular times when cows spend more time lying down such as feeding time can be identified which can be used as an indicator of moderate lameness (Yunta et al., 2012). Furthermore UWB may be able to alert the farmer to cases of clinical mastitis due to decreased lying times caused by pain and discomfort (Siivonen et al., 2011;Cyples et al., 2012). Therefore UWB can not only be used for research opportunities but also can be used to advise management and veterinary practices resulting in increased productivity and profit. UWB fulfils the criteria described by Senger (1994) for the optimal method of oestrous detection and is both efficient and accurate at detecting oestrus. UWB has the potential to increase the current oestrous detection rate from 50% (DairyCo, 2009). Increasing detection rate benefits the dairy industry by maximising productivity and increasing profit by adhering to desired calving intervals. If oestrus goes undetected then the strict 365 day calving interval, in which the aim is to produce 1 calf per cow per year, is extended, in turn decreasing overall productivity. Moreover extended calving intervals lead to an increase in forced culling; a significant contributor to greenhouse gas emissions as more animals must be reared to deliver the same level of production. It is reported that an increase of just 10% in oestrous detection rate can reduce the calving to conception interval by 4 days, and the incidence of cows culled for failure to conceive by 6% (DairyCo, 2009). Furthermore poor oestrous detection has other associated costs; extra labour for oestrous detection, more inseminations to get cows in calf, extra semen straws and technicians to artificially inseminate, and veterinary costs all reducing the net profit per cow, decreasing herd profitability (Roche, 2006). Importantly the financial implications of improving oestrous detection rates are large; a mere 10% 159
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<strong>cows</strong> <strong>in</strong> <strong>oestrus</strong> (Kiddy, 1977). Hence it should be able <strong>to</strong> greatly improve<br />
the accuracy <strong>of</strong> <strong>detection</strong>. This method <strong>of</strong> <strong>detection</strong> therefore improves<br />
upon exist<strong>in</strong>g methods by moni<strong>to</strong>r<strong>in</strong>g 2 different behaviours (st<strong>and</strong><strong>in</strong>g <strong>to</strong><br />
be mounted <strong>and</strong> mount<strong>in</strong>g), with the potential <strong>to</strong> <strong>in</strong>clude activity<br />
moni<strong>to</strong>r<strong>in</strong>g <strong>in</strong> future developments <strong>to</strong> UWB. This follows from research<br />
suggest<strong>in</strong>g that <strong>detection</strong> rates are improved when methods <strong>of</strong> <strong>detection</strong><br />
are comb<strong>in</strong>ed (Peralta et al., 2005;Lovendahl et al., 2008) for use as one<br />
complete method.<br />
Another previously reported method <strong>of</strong> oestrous <strong>detection</strong>, which is similar<br />
<strong>to</strong> UWB <strong>in</strong> the way it moni<strong>to</strong>rs the <strong>cows</strong> <strong>in</strong> all dimensions for both primary<br />
<strong>and</strong> secondary oestrous behaviour is 4sight. 4sight moni<strong>to</strong>rs <strong>cows</strong> through<br />
an image database conta<strong>in</strong><strong>in</strong>g images <strong>of</strong> 4 sides <strong>of</strong> the cow for<br />
identification, <strong>and</strong> is an optical digital surveillance system identify<strong>in</strong>g <strong>cows</strong><br />
<strong>in</strong> heat when they break a pho<strong>to</strong>sensitive beam. This method has reported<br />
90% heat <strong>detection</strong> rate <strong>in</strong> a commercial situation, although conception<br />
rate is reportedly poor (Esslemont, 2006). However this method has not<br />
succeeded widely <strong>in</strong> the commercial sec<strong>to</strong>r compared <strong>to</strong> the various<br />
methods <strong>of</strong> activity moni<strong>to</strong>r<strong>in</strong>g available. UWB has the potential <strong>to</strong> succeed<br />
because <strong>of</strong> its ability <strong>to</strong> moni<strong>to</strong>r <strong>in</strong>dividual <strong>cows</strong> <strong>in</strong> 3D with precision.<br />
Detection rates are strongly l<strong>in</strong>ked <strong>to</strong> conception rate (Roel<strong>of</strong>s et al.,<br />
2010), thereby improv<strong>in</strong>g <strong>detection</strong> rate enhances the potential <strong>to</strong> improve<br />
conception rate, <strong>and</strong> provides an opportunity <strong>to</strong> adhere <strong>to</strong> strict calv<strong>in</strong>g<br />
<strong>in</strong>tervals. Furthermore, although the <strong>detection</strong> rate reported for UWB is<br />
comparable with exist<strong>in</strong>g methods such as activity moni<strong>to</strong>r<strong>in</strong>g (At-Taras<br />
<strong>and</strong> Spahr, 2001) <strong>and</strong> current commercial systems <strong>of</strong> au<strong>to</strong>mated onl<strong>in</strong>e<br />
progesterone moni<strong>to</strong>r<strong>in</strong>g (Friggens et al., 2008) it has the advantage <strong>of</strong><br />
report<strong>in</strong>g <strong>oestrus</strong> <strong>in</strong> real-time. Therefore unlike retrospective reports <strong>of</strong> 2<br />
hourly activity units <strong>and</strong> weak correlations with time <strong>of</strong> ovulation, the onset<br />
<strong>of</strong> <strong>oestrus</strong> is known <strong>and</strong> <strong>in</strong>sem<strong>in</strong>ation can occur with<strong>in</strong> 4 <strong>to</strong> 12 hours<br />
(Dransfield et al., 1998). In addition UWB moni<strong>to</strong>rs mount<strong>in</strong>g <strong>and</strong> st<strong>and</strong><strong>in</strong>g<br />
<strong>to</strong> be mounted which are both strongly l<strong>in</strong>ked <strong>to</strong> the tim<strong>in</strong>g <strong>of</strong> ovulation<br />
(Roel<strong>of</strong>s et al., 2005) <strong>and</strong> the likelihood <strong>of</strong> UWB improv<strong>in</strong>g conception rates<br />
via accurate <strong>detection</strong> is <strong>in</strong>creased.<br />
Further development <strong>to</strong> the UWB pro<strong>to</strong>type is required <strong>and</strong> future work<br />
would be <strong>to</strong> moni<strong>to</strong>r oestrous <strong>detection</strong> <strong>in</strong> several larger herds. This would<br />
determ<strong>in</strong>e the possible improvements <strong>to</strong> oestrous <strong>detection</strong> rate <strong>and</strong> by<br />
us<strong>in</strong>g the real-time properties <strong>of</strong> UWB <strong>in</strong>vestigate the effect on conception<br />
158