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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Cereal Research</JournalTitle>
				<Issn>2252-0163</Issn>
				<Volume>6</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>12</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Studying the relationships between yield and yield components and stability of some of rice genotypes using biplot method</ArticleTitle>
<VernacularTitle>Studying the relationships between yield and yield components and stability of some of rice genotypes using biplot method</VernacularTitle>
			<FirstPage>411</FirstPage>
			<LastPage>421</LastPage>
			<ELocationID EIdType="pii">2274</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Mohaddesi</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Rahman</FirstName>
					<LastName>Erfani</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Peyman</FirstName>
					<LastName>Sharifi</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Hashem</FirstName>
					<LastName>Aminpanah</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Abouzar</FirstName>
					<LastName>Abbasian</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>12</Month>
					<Day>07</Day>
				</PubDate>
			</History>
		<Abstract>Adequate knowledge of the interrelationships among traits is essential in planning and evaluating breeding programs for rice improvement. The objectives of this research were to study the stability of seven rice genotypes over the studied environments, determining the interrelationships among traits and identifying suitable traits for indirect selection to improve rice grain yield. Six promising rice lines selected from preliminary yield trial in 2011-2012, including Shirodi as control cultivar were evaluated using randomized complete block design with three replications in two locations of Mazandaran province (Tonekabon and Sari) during three growing seasons from 2012-2014. Combined analysis of variance showed significant effects of genotype and genotype × environment interaction for grain yield. The GGE biplot analysis showed that genotype 6 (G6) with the highest grain yield (6218.06 kg.ha&lt;sup&gt;-1&lt;/sup&gt;) was ranked in second place in term of stability. The GT biplot analysis revealed that grain yield was positively correlated with number of filled grain, number of total grain and plant height and negatively correlated with number of tillers per plant and panicle length. Therefore, number of filled grain, number of total grain and plant height were suitable traits for indirect selection to improve rice grain yield. In conclusion, G6 [No. 39 from IR 67015-22-6-2-(A37632) × (Amol3 × Ramzanalitarom)] and G5 [No. 126 from IR 67015-22-6-2-(A37632) × (Amol3 × Ramzanalitarom)] were the best genotypes that can be considered to release the new varieties.</Abstract>
			<OtherAbstract Language="FA">Adequate knowledge of the interrelationships among traits is essential in planning and evaluating breeding programs for rice improvement. The objectives of this research were to study the stability of seven rice genotypes over the studied environments, determining the interrelationships among traits and identifying suitable traits for indirect selection to improve rice grain yield. Six promising rice lines selected from preliminary yield trial in 2011-2012, including Shirodi as control cultivar were evaluated using randomized complete block design with three replications in two locations of Mazandaran province (Tonekabon and Sari) during three growing seasons from 2012-2014. Combined analysis of variance showed significant effects of genotype and genotype × environment interaction for grain yield. The GGE biplot analysis showed that genotype 6 (G6) with the highest grain yield (6218.06 kg.ha&lt;sup&gt;-1&lt;/sup&gt;) was ranked in second place in term of stability. The GT biplot analysis revealed that grain yield was positively correlated with number of filled grain, number of total grain and plant height and negatively correlated with number of tillers per plant and panicle length. Therefore, number of filled grain, number of total grain and plant height were suitable traits for indirect selection to improve rice grain yield. In conclusion, G6 [No. 39 from IR 67015-22-6-2-(A37632) × (Amol3 × Ramzanalitarom)] and G5 [No. 126 from IR 67015-22-6-2-(A37632) × (Amol3 × Ramzanalitarom)] were the best genotypes that can be considered to release the new varieties.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Compatibility</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Correlation coefficient</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">GGE-biplot</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Promising lines</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cr.guilan.ac.ir/article_2274_dc63f0ff82060b860183e9685ad8b260.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
