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<meta content="In: Bill Fulkerson (Editor) Current Topics in Dairy Production, Volume 12’, Proceedings of the Dairy
Research Foundation Symposium, The University of Sydney, Australia, 74-78 (2007)" name="eprints.note" />
<meta content="Milk yield and reproductive efficiency
are crucial to profitable dairying.
Although, genetic improvement in the
last few decades has led to substantial
increases in milk yield/cow, fertility and
reproductive health have declined
(Dematawewa and Berger, 1998).
 
In a pasture-based system, a 365 day
calving interval is crucial for optimum
profit. Hence the need to increase milk
yield by improving persistence of
lactation rather than peak lactation
which puts increased stress on the
cows at the time when they should be
rebreeding. Peak milk yield,
persistency and lactation length are
the key components of the lactation
profile. Dairy cows with high peak
yields are more prone to metabolic
and physiological disorders (Terkeli et
al 1999). Although estimated breeding
values (EBV) in dairy cows in Australia
incorporates indices of economic
value, such as survival and milking
speed, the impact of the current breeding approach and management
on the shape of the lactation profile is
not clear.
 
Mathematical functions such as those
previously used to describe a series of
milk test day records (Wood, 1967,
Wilmink, 1987), have the advantage of
minimizing random variation while
simultaneously summarising the
lactation profile into biologically
interpretable parameters." name="eprints.abstract" />
<meta content="2007-11-08" name="eprints.date" />
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<meta content="In: Bill Fulkerson (Editor) Current Topics in Dairy Production, Proceedings of the Dairy Research Foundation Symposium, The University of Sydney, Australia." name="eprints.publication" />
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<meta content="Ali, T. E., and Schaeffer, L. R.  (1987) Accounting for covariances among test day milk yields in dairy cows. Can. J. An Sci. 67: 637-644.
 
Beever D.E, Rook, A.J, France, J, Danoa, M.S and Gill, M. (1991). A review of empirical and mechanistic models of lactation performance by the dairy cow. Livest Prod. Sci., 29: 115-130.
 
Dematawewa, C.M.B., Berger, PJ. (1998). Genetic and phenotypic parameter for 305-day yield, fertility and  survival in Hosteins. J. Dairy Sci. 81, 2700-2709.
 
Dijkstra, J, France, J, Dhanoa, M.S, Maas, J.A, Hanigan, M.D, Rook, A.S and Beever, D.E. (1997). A model to describe growth patterns of the mammary gland during pregnancy and lactation. J. Dairy Sci. 80:2340–2354.
 
Ferguson J. D., and Boston, R.  (1993) Lactation curves analysis: Comparison of gamma function, polynomial and exponential methods towards a mechanistic model of milk production. J. Dairy Sci. 76 (Suppl. 1): 268. (Abstr.)
 
Garcia, S.C and Holmes, C.W. (2001). Lactation curves of autumn- and spring-calved cows in pasture-based dairy systems. Livest. Prod. Sci. 68: 189-203.
 
Guo, Z., and Swalve, H. H.  (1995) Modelling of the lactation curve as a sub-model in the evaluation of test day records. Paper presented at  the INTERBULL open meeting, 7-8 September, 1995, Prague, Czech Republic.
 
Jenkins, T. G., and Ferrell, C. L. (1984) A note on lactation curves of crossbred  cows. Anim. Prod. 39: 470-482.
 
Olori, V. E., S. Brotherstone, et al. (1999). Fit of standard models of the lactation curve to weekly records of milk production of cows in a single herd. Livest. Prod. Sci. 58(1).
 
Roche, J. R., Berry, D.P. and Kolver, E.S. (2006). Holstein-Friesian Strain and Feed Effects on Milk Production, Bodyweight and Body Condition Score Profiles in Grazing Dairy Cows J. Dairy Sci. 89: 3532–3543.
 
SAS Institute Inc. (2003) SAS User’s Guide: Statistics. Version 9.1 Edition. SAS Institute Inc.: Cary, NC.
 
Sherchand, L., R. W. McNew, D. W. Kellog, and Z. B. Johnson (1995).Selection of a mathematical model to generate lactation curves using daily milk yields of Holstein cows. J. Dairy Sci. 78:2507–2513
 
Terkeli, M., Akinchi, Z. Dogan I., and Akcan A. (2000). Factors affecting the shape of Lactation Curves of Holstein Cows from the Balikesir Province of Turkey. J. Dairy Sci 83:1381–1386 1381
 
Tozer, P.R; Huffaker; R.G; 1999: Mathematical equations to describe lactation curves for Holstein-Friesian cows in New South Wales. Aust.J.  Agric. Res. 50:431-440
 
Wilmink, J. B. M. (1987) Adjustment of test-day milk, fat and protein yield for age, season and stage of lactation. Livestock Prod. Sci. 16: 335-348.
 
Wood, P. D. P. (1967). Algebraic model of the lactation curve in cattle.Nature 216, 164.5.
 
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<meta content="Milk yield and reproductive efficiency
are crucial to profitable dairying.
Although, genetic improvement in the
last few decades has led to substantial
increases in milk yield/cow, fertility and
reproductive health have declined
(Dematawewa and Berger, 1998).
 
In a pasture-based system, a 365 day
calving interval is crucial for optimum
profit. Hence the need to increase milk
yield by improving persistence of
lactation rather than peak lactation
which puts increased stress on the
cows at the time when they should be
rebreeding. Peak milk yield,
persistency and lactation length are
the key components of the lactation
profile. Dairy cows with high peak
yields are more prone to metabolic
and physiological disorders (Terkeli et
al 1999). Although estimated breeding
values (EBV) in dairy cows in Australia
incorporates indices of economic
value, such as survival and milking
speed, the impact of the current breeding approach and management
on the shape of the lactation profile is
not clear.
 
Mathematical functions such as those
previously used to describe a series of
milk test day records (Wood, 1967,
Wilmink, 1987), have the advantage of
minimizing random variation while
simultaneously summarising the
lactation profile into biologically
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    <h1 class="ep_tm_pagetitle">Using lactation curves as a tool for breeding, nutrition and health management decisions in pasture-based dairy systems</h1>
    <p style="margin-bottom: 1em" class="not_ep_block"><span class="person_name">Adediran, S.A.</span> and <span class="person_name">Malau-Aduli, A.E.O.</span> and <span class="person_name">Roche, J.R.</span> and <span class="person_name">Donaghy, D.J.</span> (2007) <xhtml:em>Using lactation curves as a tool for breeding, nutrition and health management decisions in pasture-based dairy systems.</xhtml:em> In: Dairy Research Foundation Symposium, 8-9 November 2007, Sydney.</p><p style="margin-bottom: 1em" class="not_ep_block"></p><table style="margin-bottom: 1em" class="not_ep_block"><tr><td valign="top" style="text-align:center"><a onmouseover="EPJS_ShowPreview( event, 'doc_preview_3991' );" href="http://eprints.utas.edu.au/2966/1/Malau-Aduli_2007DRFSydney.pdf" onmouseout="EPJS_HidePreview( event, 'doc_preview_3991' );"><img alt="[img]" src="http://eprints.utas.edu.au/style/images/fileicons/application_pdf.png" class="ep_doc_icon" border="0" /></a><div class="ep_preview" id="doc_preview_3991"><table><tr><td><img alt="" src="http://eprints.utas.edu.au/2966/thumbnails/1/preview.png" class="ep_preview_image" border="0" /><div class="ep_preview_title">Preview</div></td></tr></table></div></td><td valign="top"><a href="http://eprints.utas.edu.au/2966/1/Malau-Aduli_2007DRFSydney.pdf"><span class="ep_document_citation">PDF</span></a> - Requires a PDF viewer<br />122Kb</td></tr></table><p style="margin-bottom: 1em" class="not_ep_block">Official URL: <a href="http://www.vetsci.usyd.edu.au/foundations/drf/symposium.shtml">http://www.vetsci.usyd.edu.au/foundations/drf/symposium.shtml</a></p><div class="not_ep_block"><h2>Abstract</h2><p style="padding-bottom: 16px; text-align: left; margin: 1em auto 0em auto">Milk yield and reproductive efficiency&#13;
are crucial to profitable dairying.&#13;
Although, genetic improvement in the&#13;
last few decades has led to substantial&#13;
increases in milk yield/cow, fertility and&#13;
reproductive health have declined&#13;
(Dematawewa and Berger, 1998).&#13;
&#13;
In a pasture-based system, a 365 day&#13;
calving interval is crucial for optimum&#13;
profit. Hence the need to increase milk&#13;
yield by improving persistence of&#13;
lactation rather than peak lactation&#13;
which puts increased stress on the&#13;
cows at the time when they should be&#13;
rebreeding. Peak milk yield,&#13;
persistency and lactation length are&#13;
the key components of the lactation&#13;
profile. Dairy cows with high peak&#13;
yields are more prone to metabolic&#13;
and physiological disorders (Terkeli et&#13;
al 1999). Although estimated breeding&#13;
values (EBV) in dairy cows in Australia&#13;
incorporates indices of economic&#13;
value, such as survival and milking&#13;
speed, the impact of the current breeding approach and management&#13;
on the shape of the lactation profile is&#13;
not clear.&#13;
&#13;
Mathematical functions such as those&#13;
previously used to describe a series of&#13;
milk test day records (Wood, 1967,&#13;
Wilmink, 1987), have the advantage of&#13;
minimizing random variation while&#13;
simultaneously summarising the&#13;
lactation profile into biologically&#13;
interpretable parameters.</p></div><table style="margin-bottom: 1em" cellpadding="3" class="not_ep_block" border="0"><tr><th valign="top" class="ep_row">Item Type:</th><td valign="top" class="ep_row">Conference or Workshop Item (Paper)</td></tr><tr><th valign="top" class="ep_row">Additional Information:</th><td valign="top" class="ep_row">In: Bill Fulkerson (Editor) Current Topics in Dairy Production, Volume 12’, Proceedings of the Dairy&#13;
Research Foundation Symposium, The University of Sydney, Australia, 74-78 (2007)</td></tr><tr><th valign="top" class="ep_row">Keywords:</th><td valign="top" class="ep_row">Lactation curves, pasture-based dairy systems, breeding, nutrition, health management</td></tr><tr><th valign="top" class="ep_row">Subjects:</th><td valign="top" class="ep_row"><a href="http://eprints.utas.edu.au/view/subjects/270207.html">270000 Biological Sciences &gt; 270200 Genetics &gt; 270207 Quantitative Genetics</a><br /><a href="http://eprints.utas.edu.au/view/subjects/300401.html">300000 Agricultural, Veterinary and Environmental Sciences &gt; 300400 Animal Production &gt; 300401 Animal Breeding</a><br /><a href="http://eprints.utas.edu.au/view/subjects/300400.html">300000 Agricultural, Veterinary and Environmental Sciences &gt; 300400 Animal Production</a></td></tr><tr><th valign="top" class="ep_row">Collections:</th><td valign="top" class="ep_row">UNSPECIFIED</td></tr><tr><th valign="top" class="ep_row">ID Code:</th><td valign="top" class="ep_row">2966</td></tr><tr><th valign="top" class="ep_row">Deposited By:</th><td valign="top" class="ep_row"><span class="ep_name_citation"><span class="person_name">Dr Aduli E.O. Malau-Aduli</span></span></td></tr><tr><th valign="top" class="ep_row">Deposited On:</th><td valign="top" class="ep_row">24 Jan 2008 11:27</td></tr><tr><th valign="top" class="ep_row">Last Modified:</th><td valign="top" class="ep_row">24 Jan 2008 11:57</td></tr><tr><th valign="top" class="ep_row">ePrint Statistics:</th><td valign="top" class="ep_row"><a target="ePrintStats" href="/es/index.php?action=show_detail_eprint;id=2966;">View statistics for this ePrint</a></td></tr></table><p align="right">Repository Staff Only: <a href="http://eprints.utas.edu.au/cgi/users/home?screen=EPrint::View&amp;eprintid=2966">item control page</a></p>
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