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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Tarbiat Modares University</PublisherName>
				<JournalTitle>Journal of Agricultural Science and Technology</JournalTitle>
				<Issn>1680-7073</Issn>
				<Volume>27</Volume>
				<Issue>6</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>11</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>An Extension Model Compatible with Drought Management in Iran</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1229</FirstPage>
			<LastPage>1247</LastPage>
			<ELocationID EIdType="pii">16817</ELocationID>
			
<ELocationID EIdType="doi">10.48311/jast.2025.16817</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Jalal</FirstName>
					<LastName>Mahmoodzadeh</LastName>
<Affiliation>Department of Agricultural Extension and Education, Ga. C., Islamic Azad University, Garmsar, Islamic Republic of Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Sadeq</FirstName>
					<LastName>Sabouri</LastName>
<Affiliation>Department of Agricultural Extension and Education, Ga. C., Islamic Azad University, Garmsar, Islamic Republic of Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mehrdad</FirstName>
					<LastName>Niknami</LastName>
<Affiliation>Department of Agricultural Extension and Education, Ga. C., Islamic Azad University, Garmsar, Islamic Republic of Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Elham</FirstName>
					<LastName>Danaei</LastName>
<Affiliation>Department of Horticulture, Ga.C., Islamic Azad University, Garmsar, Islamic Republic of Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
		<Abstract>The main purpose of this research was to design an extension model compatible with drought management in Iran. The research utilized a mixed research approach, combining both qualitative and quantitative methods. In the qualitative section, data was collected through semi-structured interviews, observation, and review of relevant sources. The participants in this section were 15 of extension experts with significant experience in drought management, selected through purposeful and snowball sampling methods. The data was analyzed using the systematic grounded theory approach with MAXQUDA10 software, following Strauss and Corbin&#039;s (1998) approach. In the quantitative section, the statistical population included experts, trainers, and professors whose field or organizational post was related to water resources, irrigation and drainage, agricultural extension and development, and drought, working full-time in the Ministry of Agricultural Jihad (N= 6018). The sample size was determined using Cochran&#039;s formula, with a total of 372 participants. Structural Equation Modeling (SEM) and PLS software were used for data analysis. The results showed that the main components of the model were the detailed requirements of drought management (coefficient of &lt;span style=&quot;color: black;&quot;&gt;coefficient&lt;/span&gt; 0.013), extensional methods of drought management (0.033), contextual conditions (0.1011), supporting conditions (0.166), conditions and causes (0.102), and consequences of drought management (0.065). Finally, an extension model compatible with drought management in Iran was presented.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Contextual conditions</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Drought adaptation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Supporting conditions</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jast.modares.ac.ir/article_16817_5eea6fd7b02448c35fd405cfe823d128.pdf</ArchiveCopySource>
</Article>
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