<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Journal of Agricultural Science and Sustainable Production</JournalTitle>
				<Issn>2476-4310</Issn>
				<Volume>32</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>10</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Study of quantitative traits related to grain yield stability in maize using multivariate statistical methods and graphical analysis</ArticleTitle>
<VernacularTitle>Study of quantitative traits related to grain yield stability in maize using multivariate statistical methods and graphical analysis</VernacularTitle>
			<FirstPage>49</FirstPage>
			<LastPage>61</LastPage>
			<ELocationID EIdType="pii">15488</ELocationID>
			
<ELocationID EIdType="doi">10.22034/saps.2021.48063.2736</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Seyedhabib</FirstName>
					<LastName>Shojaei</LastName>
<Affiliation>Department of Agronomy and Plant Breeding, Damavand  Branch, Technical and Vocational University (TVU), Iran</Affiliation>

</Author>
<Author>
					<FirstName>Khodadad</FirstName>
					<LastName>Mostafavi</LastName>
<Affiliation>Department of Agronomy and Plant Breeding, Karaj Branch, Islamic Azad university, Karaj, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mahmoud</FirstName>
					<LastName>Khosroshahli</LastName>
<Affiliation>Department of Biotechnology and Plant Breeding, Science and Research Branch, Islamic Azad Univeristy, Tehran, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Reza</FirstName>
					<LastName>Bihamta</LastName>
<Affiliation>College of Agriculture &amp;amp; Natural Resources (UCAN), University of Tehran, Karaj, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Hossein</FirstName>
					<LastName>Ramshini</LastName>
<Affiliation>College of Agriculture &amp;amp; Natural Resources, University of Tehran, Aboureyhan campus, Pakdasht, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2021</Year>
					<Month>09</Month>
					<Day>20</Day>
				</PubDate>
			</History>
		<Abstract>Background and Objective: This paper was conducted to study the quantitative traits related to grain yield and to investigate the relationship between different traits and to select the most important quantitative traits affecting grain yield in maize hybrids.&lt;br /&gt;&lt;br /&gt;Materials and Methods: The experiment was conducted in a randomized complete block design (RCBD) with three replications in the two cropping years of 2017-2018 in Shiraz region. sampling and taking notes were performed from the two middle rows.&lt;br /&gt;&lt;br /&gt;Results: Based on the combined analysis of variance at the probability level of 0.01, all hybrids had a significant difference. Also, the effect of hybrid year was significant in all traits except ear diameter. Based on the comparison of the mean performed by Duncan method, two genotypes KSC704 and KSC707 were identified as hybrids with superior rank. Based on the correlation analysis, grain yield had a positive and significant correlation with grain width and 1000-grain weight. Also, the results of the correlation diagram showed a positive and significant correlation between grain yield and grain length, 1000-seed weight, plant height, ear length and number of rows per ear. The drawn polygon diagram also showed that KSC705 genotype is more desirable than other genotypes. Based on the ranking chart of genotypes based on the ideal genotype, SC647 hybrid was identified as a hybrid with better desirability. &lt;br /&gt;&lt;br /&gt;Conclusion Based on the studied traits, KSC704 and KSC705 genotypes were identified as better ranked hybrids and SC301 and SC302 genotypes were identified as unfavorable genotypes.</Abstract>
			<OtherAbstract Language="FA">Background and Objective: This paper was conducted to study the quantitative traits related to grain yield and to investigate the relationship between different traits and to select the most important quantitative traits affecting grain yield in maize hybrids.&lt;br /&gt;&lt;br /&gt;Materials and Methods: The experiment was conducted in a randomized complete block design (RCBD) with three replications in the two cropping years of 2017-2018 in Shiraz region. sampling and taking notes were performed from the two middle rows.&lt;br /&gt;&lt;br /&gt;Results: Based on the combined analysis of variance at the probability level of 0.01, all hybrids had a significant difference. Also, the effect of hybrid year was significant in all traits except ear diameter. Based on the comparison of the mean performed by Duncan method, two genotypes KSC704 and KSC707 were identified as hybrids with superior rank. Based on the correlation analysis, grain yield had a positive and significant correlation with grain width and 1000-grain weight. Also, the results of the correlation diagram showed a positive and significant correlation between grain yield and grain length, 1000-seed weight, plant height, ear length and number of rows per ear. The drawn polygon diagram also showed that KSC705 genotype is more desirable than other genotypes. Based on the ranking chart of genotypes based on the ideal genotype, SC647 hybrid was identified as a hybrid with better desirability. &lt;br /&gt;&lt;br /&gt;Conclusion Based on the studied traits, KSC704 and KSC705 genotypes were identified as better ranked hybrids and SC301 and SC302 genotypes were identified as unfavorable genotypes.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Combined analysis of variance</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Maize</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">ideal genotype</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Polygon diagram</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Correlation</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://sustainagriculture.tabrizu.ac.ir/article_15488_f720b6a776e97ea359936d7c00662728.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
