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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Univrsity of Tehran Press</PublisherName>
				<JournalTitle>Iranian Journal of Field Crop Science</JournalTitle>
				<Issn>2008-4811</Issn>
				<Volume>53</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>09</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Graphic analysis of genotype, environment and genotype × environment interaction on the seed yield of sunflower</ArticleTitle>
<VernacularTitle>Graphic analysis of genotype, environment and genotype × environment interaction on the seed yield of sunflower</VernacularTitle>
			<FirstPage>65</FirstPage>
			<LastPage>75</LastPage>
			<ELocationID EIdType="pii">89729</ELocationID>
			
<ELocationID EIdType="doi">10.22059/ijfcs.2021.324812.654832</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Mehdi</FirstName>
					<LastName>Ghaffari</LastName>
<Affiliation>Seed and Plant Improvement Institute, Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Amir</FirstName>
					<LastName>Gholizadeh</LastName>
<Affiliation>Assistant Professor, Crop and Horticultural Science Research Department, Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gorgan, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-5204-844X</Identifier>

</Author>
<Author>
					<FirstName>Seyyed Abbasali</FirstName>
					<LastName>Andarkhor</LastName>
<Affiliation>Crop and Horticultural Science Research Department, Mazandaran Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Sari, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>َAsadolah</FirstName>
					<LastName>Zareei Siahbidi</LastName>
<Affiliation>Crop and Horticultural Science Research Department, Kermanshah Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Kermanshah, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Seyed Ahmad</FirstName>
					<LastName>Kalantar Ahmadi</LastName>
<Affiliation>Crop and Horticultural Science Research Department, Safiabad Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Dezful, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Farnaz</FirstName>
					<LastName>Shariati</LastName>
<Affiliation>Oil Crops Research Department, Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Abbas</FirstName>
					<LastName>Rezaeizad</LastName>
<Affiliation>Horticulture Crops Research Department, Kermanshah Agricultural and Natural Resources Research and Education center, AREEO, Kermanshah, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2021</Year>
					<Month>06</Month>
					<Day>01</Day>
				</PubDate>
			</History>
		<Abstract>Studying the reaction of the different genotypes under different environmental conditions helps breeders to detect stable and high-yielding genotypes. In this regard, 11 new sunflower hybrids along with four cultivars (Golsa, Ghasem, Shams, and Farrokh) were evaluated in a randomized complete block design with four replications in four experimental field stations (Karaj, Sari, Kermanshah, and Dezful) during two cropping seasons. GGE biplot statistical method (genotype effect + genotype × environment interaction) was used to study the adaptation of genotypes in the studied environments. Results of combined analysis of variance indicated that the effects of environments, genotypes, and genotype × environment interaction were significant, suggesting that the genotypes responded differently in the studied environment conditions. Results of the GGE biplot method showed that the two first and second principal components of the GGE biplot explained 66.4% of the total seed yield variation. Based on the biplot polygon view, the hybrid RGK15×AGK1221 in Sari and Karaj locations and the hybrid RGK25×AGK330 and Shams cultivar in Dezful location were superior genotypes with the high specific adaptation. Besides, all environments had high discriminating ability so that could able to show differences between genotypes. Sari environment was the nearest environment to the ideal environment that had the highest discriminating ability and representativeness.</Abstract>
			<OtherAbstract Language="FA">Studying the reaction of the different genotypes under different environmental conditions helps breeders to detect stable and high-yielding genotypes. In this regard, 11 new sunflower hybrids along with four cultivars (Golsa, Ghasem, Shams, and Farrokh) were evaluated in a randomized complete block design with four replications in four experimental field stations (Karaj, Sari, Kermanshah, and Dezful) during two cropping seasons. GGE biplot statistical method (genotype effect + genotype × environment interaction) was used to study the adaptation of genotypes in the studied environments. Results of combined analysis of variance indicated that the effects of environments, genotypes, and genotype × environment interaction were significant, suggesting that the genotypes responded differently in the studied environment conditions. Results of the GGE biplot method showed that the two first and second principal components of the GGE biplot explained 66.4% of the total seed yield variation. Based on the biplot polygon view, the hybrid RGK15×AGK1221 in Sari and Karaj locations and the hybrid RGK25×AGK330 and Shams cultivar in Dezful location were superior genotypes with the high specific adaptation. Besides, all environments had high discriminating ability so that could able to show differences between genotypes. Sari environment was the nearest environment to the ideal environment that had the highest discriminating ability and representativeness.</OtherAbstract>
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			<Object Type="keyword">
			<Param Name="value">Genotype × environment interaction</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">ideal genotype</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Seed yield</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Specific adaptation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Sunflower</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijfcs.ut.ac.ir/article_89729_f66593bc6d066b607434d8f02cc332b0.pdf</ArchiveCopySource>
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