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novel approaches to expression and detection of oestrus in dairy cows

novel approaches to expression and detection of oestrus in dairy cows

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fertility <strong>and</strong> oestrous <strong>expression</strong>. However success <strong>of</strong> this type <strong>of</strong> study<br />

depends on the heritability <strong>of</strong> the trait, where heritability <strong>of</strong> oestrous<br />

<strong>expression</strong> is low, but also the number <strong>of</strong> phenotypic records <strong>of</strong> that trait<br />

(Berry et al., 2012). To improve upon this study multiple measurements<br />

for oestrous <strong>expression</strong> could be used such as maximum activity at<br />

<strong>oestrus</strong>, percentage <strong>in</strong>crease <strong>in</strong> activity at <strong>oestrus</strong>, days <strong>to</strong> first episode <strong>of</strong><br />

high activity <strong>and</strong> days <strong>to</strong> commencement <strong>of</strong> luteal activity. Furthermore,<br />

us<strong>in</strong>g physiological measurements <strong>of</strong> <strong>oestrus</strong> gives a more accurate<br />

<strong>in</strong>terpretation <strong>of</strong> <strong>oestrus</strong> that is less affected by management fac<strong>to</strong>rs <strong>and</strong><br />

the environment.<br />

3.4.2 Implications <strong>of</strong> a Genomic Approach<br />

Implications <strong>of</strong> us<strong>in</strong>g genomic selection over traditional genetic selection<br />

are that the improvements <strong>in</strong> genetic ga<strong>in</strong> are realised quicker than us<strong>in</strong>g<br />

traditional selection methods. Therefore identification <strong>of</strong> SNPs for improved<br />

oestrous <strong>expression</strong> could lead <strong>to</strong> <strong>in</strong>clusion <strong>of</strong> SNPs <strong>in</strong> breed<strong>in</strong>g<br />

programmes <strong>and</strong> thus aid reversal <strong>of</strong> the decl<strong>in</strong>e <strong>in</strong> oestrous <strong>detection</strong><br />

rates. Genomic selection is a revolutionary technology enhanc<strong>in</strong>g <strong>dairy</strong><br />

cattle breed<strong>in</strong>g, with the amount <strong>of</strong> <strong>in</strong>formation on a molecular level rapidly<br />

<strong>in</strong>creas<strong>in</strong>g due <strong>to</strong> sequenc<strong>in</strong>g <strong>of</strong> the bov<strong>in</strong>e genome <strong>in</strong> 2003<br />

(http://www.hgsc.bcm.tmc.edu/projects/bov<strong>in</strong>e). Study<strong>in</strong>g SNPs <strong>and</strong> their<br />

variation <strong>and</strong> mak<strong>in</strong>g l<strong>in</strong>ks between physiological data allows this<br />

<strong>in</strong>formation <strong>to</strong> be used <strong>in</strong> selection programs <strong>and</strong> <strong>in</strong>corporation <strong>in</strong><strong>to</strong> the<br />

fertility <strong>in</strong>dex (Berglund, 2008). Because <strong>of</strong> the low heritability <strong>of</strong><br />

reproductive traits, h2=

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