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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Tehran Press</PublisherName>
				<JournalTitle>Progress in Biological Sciences</JournalTitle>
				<Issn>1016-1058</Issn>
				<Volume>4</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Genetic worth and stability of selection indices in rice (Oryza sativa L.)</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>153</FirstPage>
			<LastPage>166</LastPage>
			<ELocationID EIdType="pii">52296</ELocationID>
			
<ELocationID EIdType="doi">10.22059/pbs.2014.52296</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mohammad</FirstName>
					<LastName>Fotokian</LastName>
<Affiliation>Crop Science and Plant Breeding Department, College of Agriculture, Shahed University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Kayvan</FirstName>
					<LastName>Agahi</LastName>
<Affiliation>Crop Science and Plant Breeding Department, College of Agriculture, Shahed University, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2013</Year>
					<Month>12</Month>
					<Day>20</Day>
				</PubDate>
			</History>
		<Abstract>Improvement of one trait on its own will affect the performance of other traits because of&lt;br /&gt;genotypic correlations between traits. Index selection is one of the tools used by plant breeders&lt;br /&gt;to overcome this problem. The purpose of this paper is to evaluate selection indices developed&lt;br /&gt;for improving grain yield in rice (Oryza sativa L.). Forty-nine rice genotypes were cultivated at&lt;br /&gt;Tonekabon Rice Research Station, Iran, in 2009 and 2010. Selection indices were developed&lt;br /&gt;based on phenotypic and genotypic correlations, path coefficients, broad-sense heritability of&lt;br /&gt;traits and stepwise multiple linear regression coefficients. Assessment of indices revealed that&lt;br /&gt;the stability decreased concurrently with increase in the genetic worth, and hence an inverse&lt;br /&gt;association existed between stability and genetic worth of indices. The results also suggested&lt;br /&gt;that selection for TP, GW, GP and GL and against PH using their multiple linear regression&lt;br /&gt;parameters as economic weights was an effective criterion for improving grain yield in rice&lt;br /&gt;genotypes. On the other hand, the most stable indices were those that were developed based on&lt;br /&gt;heritability of traits as well as genotypic path coefficients.&lt;br /&gt; </Abstract>
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			<Object Type="keyword">
			<Param Name="value">broad-sense heritability</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">expected genetic advance</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">genotypic correlation
coefficients</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Path analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">rice</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">selection indices</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Smith-Hazel index</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">stepwise
multiple linear</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://pbiosci.ut.ac.ir/article_52296_acdb9527b050046ea55daa1795d2ded4.pdf</ArchiveCopySource>
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