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	<title>Comparision of GS Models - Revision history</title>
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	<updated>2026-05-07T15:06:29Z</updated>
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		<title>Raj: 1 revision imported</title>
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		<updated>2016-06-23T08:39:07Z</updated>

		<summary type="html">&lt;p&gt;1 revision imported&lt;/p&gt;
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		<author><name>Raj</name></author>
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	<entry>
		<id>http://horts.in/index.php?title=Comparision_of_GS_Models&amp;diff=877&amp;oldid=prev</id>
		<title>Raj at 11:46, 27 May 2016</title>
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		<updated>2016-05-27T11:46:25Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;[[Category:Readings]] [[Category:Rajkumar]] [[Category:Biology]]&lt;br /&gt;
== The scope == &lt;br /&gt;
* Various GS models such as Bayes B, SPLS, BL, RR_BLUP, PLS have been compared&amp;lt;ref&amp;gt;[http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4592981 Comparison of Genomic Selection Models to Predict Flowering Time and Spike Grain Number in Two Hexaploid Wheat Doubled Haploid Populations]&amp;lt;/ref&amp;gt;&lt;br /&gt;
* Prediction accuracy in Time to young microspore: &amp;#039;&amp;#039;&amp;#039;0.5 to 0.84&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
* Prediction accuracy of grain number under Osmatic stress conditions : &amp;#039;&amp;#039;&amp;#039;0.27 - 0.46&amp;#039;&amp;#039;&amp;#039;  &lt;br /&gt;
* Prediction accuracy of grain number under controlled conditions     : &amp;#039;&amp;#039;&amp;#039;0.1 - 0.42&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
* Accuracies were generally lower in independent validation than cross validation (?!)&lt;br /&gt;
* BayesB and SPLS were turned out to be the best models&lt;br /&gt;
* Hence BayesB and SPLS capture the LD between the markers and traits =&amp;gt; higher accuracy.&lt;br /&gt;
* Excluding markers from QTL mapping reduces the accuracies (?!)&lt;br /&gt;
==&lt;/div&gt;</summary>
		<author><name>Raj</name></author>
	</entry>
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