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<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Journal of Plant Physiology and Breeding</JournalTitle>
				<Issn>2008-5168</Issn>
				<Volume>11</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2021</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Path analysis of yield and yield components in super-sweet maize (Zea mays L. var. Saccarata) inbred lines at drought-stress and normal conditions</ArticleTitle>
<VernacularTitle>تجزیه علیت عملکرد و اجزای عملکرد در لاین های اینبرد ذرت فوق شیرین (Zea mays L. var.  Saccarata)  تحت شرایط نرمال و تنش خشکی</VernacularTitle>
			<FirstPage>87</FirstPage>
			<LastPage>96</LastPage>
			<ELocationID EIdType="pii">14560</ELocationID>
			
<ELocationID EIdType="doi">10.22034/jppb.2021.14560</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mohsen</FirstName>
					<LastName>Shahrokhi</LastName>
<Affiliation>Department of Biotechnology and Plant Breeding, Science and Research Branch, Islamic Azad University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Saeed</FirstName>
					<LastName>Khavari Khorasani</LastName>
<Affiliation>Department of Crop and Horticulture Research, Khorasan Razavi Agriculture and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization, Mashhad, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Asa</FirstName>
					<LastName>Ebrahimi</LastName>
<Affiliation>Department of Biotechnology and Plant Breeding, Science and Research Branch, Islamic Azad University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Eslam</FirstName>
					<LastName>Majidi Heravan</LastName>
<Affiliation>Department of Biotechnology and Plant Breeding, Science and Research Branch, Islamic Azad University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mansoure</FirstName>
					<LastName>Kermani</LastName>
<Affiliation>Department of Agricultural Science, Payam Noor University, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2021</Year>
					<Month>04</Month>
					<Day>21</Day>
				</PubDate>
			</History>
		<Abstract>To identify the most effective characteristics on grain yield, 24 super-sweet maize inbred lines were investigated under two moisture conditions (normal and drought stress) during the 2017 growing season. The experiment was carried out as a randomized complete block design with four replications. Analysis of variance for grain yield and eight agronomic characteristics showed significant differences among investigated inbred lines. Phenotypic correlations indicated that grain yield had a significant relationship with kernel number per row, ear diameter, row number per ear, and stem diameter under normal conditions, and with kernel number per row and plant height under drought-stress conditions. Stepwise multiple linear regression showed that kernel number per row, ear diameter, and stem diameter explained 72% of the variation for grain yield at normal conditions. On the other hand, cob present, plant height, ear diameter, and ear length governed 60% of the grain yield variation under drought-stress conditions. Path analysis under normal conditions revealed that kernel number per row had the highest positive direct effect (0.717) on the grain yield followed by the stem diameter (0.292) and ear diameter (0.273). In the drought stress conditions, ear diameter (0.455) and plant height (0.436) showed the highest positive direct effects on grain yield.</Abstract>
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			<Param Name="value">Drought</Param>
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			<Param Name="value">Maize</Param>
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			<Param Name="value">Multiple linear regression</Param>
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			<Object Type="keyword">
			<Param Name="value">Path coefficient</Param>
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			<Object Type="keyword">
			<Param Name="value">Phenotypic correlation</Param>
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<ArchiveCopySource DocType="pdf">https://breeding.tabrizu.ac.ir/article_14560_cb33178b9284c2445bc85973326a022f.pdf</ArchiveCopySource>
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