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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Crop Biotechnology</JournalTitle>
				<Issn>2252-0783</Issn>
				<Volume>4</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2015</Year>
					<Month>09</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Mapping QTLs controlling physiological traits of sunflower under salinity stress</ArticleTitle>
<VernacularTitle>Mapping QTLs controlling physiological traits of sunflower under salinity stress</VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>16</LastPage>
			<ELocationID EIdType="pii">2029</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Fariba</FirstName>
					<LastName>Morsali Aghajari</LastName>
<Affiliation>M.Sc. in Plant Breeding, Department of Plant Breeding and Biotechnology, Faculty of Agriculture, Urmia</Affiliation>

</Author>
<Author>
					<FirstName>Reza</FirstName>
					<LastName>Darvishzadeh</LastName>
<Affiliation>Associate Professor, Department of Plant Breeding and Biotechnology, Faculty of Agriculture, Urmia University, Urmia, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Naser</FirstName>
					<LastName>Abbaspour</LastName>
<Affiliation>Associate Professor, Department of Biology, Faculty of Science, Urmia University, Urmia, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>05</Month>
					<Day>30</Day>
				</PubDate>
			</History>
		<Abstract>In order to study the effect of salinity on yield and physiological traits of sunflower and genetic analysis of these traits under salinity conditions, a factorial experiment based on completely randomized design with three replications were performed outside the greenhouse in an open air area under natural environmental conditions. The studied factors were included 2 salinity stress levels (normal and 6 dS/m) and sunflower recombinant inbred lines (102 lines derived from the cross PAC2 ×RHA266 together with parental lines). Traits such as grain yield per plant, chlorophyll content, net photosynthetic rate, leaf relative water content, Na+ and K+ concentrations were measured after flowering. The effect of salinity was significant on grain yield, leaf relative water content, Na+ and K+ concentrations as well as on Na+/K+ and K+/ Na+ ratios. For all traits, significant differences were observed between the genotypes studied. Genetic analysis of studied traits was done using a linkage map comprising 221 molecular markers (210 SSR/11 SNP) with an average distance of 7.44 cM between markers via composite interval mapping (CIM) procedure. Totally, 10 and 8 QTLs were detected for studied traits under normal and salt stress conditions, respectively. The phenotypic variance explained by QTLs (R2) ranged from 10.4%- 34.4%. The results showed the existence of co-localized QTLs for some of the studied traits under normal and salt stress conditions including Na+.S.4.1 with Na+/K+.S.4.1, Chl.NS.6.1 with K+.S.6.1. Using co-localized QTLs in different environmental conditions and different years could enhance the efficiency of marker-assisted selection in plant breeding programs.</Abstract>
			<OtherAbstract Language="FA">In order to study the effect of salinity on yield and physiological traits of sunflower and genetic analysis of these traits under salinity conditions, a factorial experiment based on completely randomized design with three replications were performed outside the greenhouse in an open air area under natural environmental conditions. The studied factors were included 2 salinity stress levels (normal and 6 dS/m) and sunflower recombinant inbred lines (102 lines derived from the cross PAC2 ×RHA266 together with parental lines). Traits such as grain yield per plant, chlorophyll content, net photosynthetic rate, leaf relative water content, Na+ and K+ concentrations were measured after flowering. The effect of salinity was significant on grain yield, leaf relative water content, Na+ and K+ concentrations as well as on Na+/K+ and K+/ Na+ ratios. For all traits, significant differences were observed between the genotypes studied. Genetic analysis of studied traits was done using a linkage map comprising 221 molecular markers (210 SSR/11 SNP) with an average distance of 7.44 cM between markers via composite interval mapping (CIM) procedure. Totally, 10 and 8 QTLs were detected for studied traits under normal and salt stress conditions, respectively. The phenotypic variance explained by QTLs (R2) ranged from 10.4%- 34.4%. The results showed the existence of co-localized QTLs for some of the studied traits under normal and salt stress conditions including Na+.S.4.1 with Na+/K+.S.4.1, Chl.NS.6.1 with K+.S.6.1. Using co-localized QTLs in different environmental conditions and different years could enhance the efficiency of marker-assisted selection in plant breeding programs.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Oily sunflower</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">QTL analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Salt tolerance</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cropbiotech.journals.pnu.ac.ir/article_2029_6c8451d27aa3de8087d61de7f4d7e97b.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Crop Biotechnology</JournalTitle>
				<Issn>2252-0783</Issn>
				<Volume>4</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2015</Year>
					<Month>09</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Induction of sporophytical divisions and formation of embryo structures in microspore culture of tomato (Lycopersicon esculentum Mill.)</ArticleTitle>
<VernacularTitle>Induction of sporophytical divisions and formation of embryo structures in microspore culture of tomato (Lycopersicon esculentum Mill.)</VernacularTitle>
			<FirstPage>17</FirstPage>
			<LastPage>29</LastPage>
			<ELocationID EIdType="pii">2030</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Behzad</FirstName>
					<LastName>Ahmadi</LastName>
<Affiliation>Ph.D. student, Faculty of Agronomy and Plant Breeding, University of Mohaghegh Ardabili, Ardabil, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Rasoul</FirstName>
					<LastName>Asghari Zakaria</LastName>
<Affiliation>Associate Professor,  Faculty of Plant Breeding, University of Mohaghegh Ardabili</Affiliation>

</Author>
<Author>
					<FirstName>Mehran</FirstName>
					<LastName>Enayati Shariat Panahi</LastName>
<Affiliation>researcher and head of Tisue culture and Gene transformation Dep.ABRII, AREEO</Affiliation>

</Author>
<Author>
					<FirstName>Naser</FirstName>
					<LastName>Zare</LastName>
<Affiliation>Assistant Professor, Faculty of Plant Breeding, University of Mohaghegh Ardabili</Affiliation>

</Author>
<Author>
					<FirstName>Pejman</FirstName>
					<LastName>Azadi</LastName>
<Affiliation>1- Assistant Professor, Agricultural Research Institute of Iran (ABRII), Karaj</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>05</Month>
					<Day>24</Day>
				</PubDate>
			</History>
		<Abstract>In this study, the effect of cold treatment (4 °C for 1 to 5 days) in combination with heat shock (30 °C for  1 to 10 days) and also colchicine treatment (25 to 100 mg/l for 24 to 72 h) were assessed on induction of sporophytical divisions in isolated microspore culture in two hybrid tomato cultivars (‘Berlina’ and ‘Petoperide’). Microspore-derived structures with more than 10 nuclei were only observed in cv. ‘Berlina’ and in the cultures incubated for 1 or 2 days at 4 °C and then for 2 days at 30 °C. In addition, cold treatment for 1 or 2 days and then 2 days at 30 °C could efficiently induce formation of microspore-derived structures with 9-10 nuclei in both cultivars tested. No microspore with more than 5 nuclei was observed in the cultures treated at 30°C for 10 days. In the cv. ‘Berlina’, microspore-derived structures with 9-10 nuclei were detected when 25 mg/l colchicine was used for 48 h, while in cv. ‘Petoperide’, microspore-derived structures with more than 8 nuclei were not observed in all treatments tested. Globular embryos were only produced in two-layered culture medium when treated at 4°C for 2 and 5 days and then subjected to 30°C for 2 days. Microspore embryogenesis could be induced in tomato if appropriate duration of cold and heat treatment was selected.</Abstract>
			<OtherAbstract Language="FA">In this study, the effect of cold treatment (4 °C for 1 to 5 days) in combination with heat shock (30 °C for  1 to 10 days) and also colchicine treatment (25 to 100 mg/l for 24 to 72 h) were assessed on induction of sporophytical divisions in isolated microspore culture in two hybrid tomato cultivars (‘Berlina’ and ‘Petoperide’). Microspore-derived structures with more than 10 nuclei were only observed in cv. ‘Berlina’ and in the cultures incubated for 1 or 2 days at 4 °C and then for 2 days at 30 °C. In addition, cold treatment for 1 or 2 days and then 2 days at 30 °C could efficiently induce formation of microspore-derived structures with 9-10 nuclei in both cultivars tested. No microspore with more than 5 nuclei was observed in the cultures treated at 30°C for 10 days. In the cv. ‘Berlina’, microspore-derived structures with 9-10 nuclei were detected when 25 mg/l colchicine was used for 48 h, while in cv. ‘Petoperide’, microspore-derived structures with more than 8 nuclei were not observed in all treatments tested. Globular embryos were only produced in two-layered culture medium when treated at 4°C for 2 and 5 days and then subjected to 30°C for 2 days. Microspore embryogenesis could be induced in tomato if appropriate duration of cold and heat treatment was selected.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Cold stress</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Heat stress</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Colchicine</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">tomato</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Microspore</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cropbiotech.journals.pnu.ac.ir/article_2030_6fff21b905381d612cec45729aa1e955.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Crop Biotechnology</JournalTitle>
				<Issn>2252-0783</Issn>
				<Volume>4</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2015</Year>
					<Month>09</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>DNA barcoding of some local medicinal plants of Ardabil province</ArticleTitle>
<VernacularTitle>DNA barcoding of some local medicinal plants of Ardabil province</VernacularTitle>
			<FirstPage>31</FirstPage>
			<LastPage>40</LastPage>
			<ELocationID EIdType="pii">2051</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Asadi</LastName>
<Affiliation>M.Sc. Agricultural Biotechnology, University of Mohaghegh Ardabili, Ardabil, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Sara</FirstName>
					<LastName>Dezhsetan</LastName>
<Affiliation>Assistant Professor, Department of Agronomy &amp;amp; Plant Breeding, Faculty of Agricultural Sciences, University of Mohaghegh Ardabili, Ardabil, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Robab</FirstName>
					<LastName>Ghahramanzadeh</LastName>
<Affiliation>Plant biotechnology researcher, Plant breeding department, Wageningen UR.</Affiliation>

</Author>
<Author>
					<FirstName>Jabraeil</FirstName>
					<LastName>Razmjou</LastName>
<Affiliation>Associate Professor, Department of Plant Protection, Faculty of Agricultural Sciences, University of Mohaghegh Ardabili, Ardabil, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Taghi</FirstName>
					<LastName>Alebrahim</LastName>
<Affiliation>Associate Professor, Department of Plant Protection, Faculty of Agricultural Sciences, University of Mohaghegh Ardabili, Ardabil, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>05</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>DNA barcoding is a simple way to identify species using a very short genetic sequence from a standard part of the genome. This technique used to identify eight medicinal plants collected from the Ardabil province. DNA extraction was performed by modified CTAB method and PCR was performed with primers designed based on rbcL, trnH-psbA, matK Chloroplast barcodes and ITS nuclear barcode. Then, PCR products purified and sequenced. The percentage of amplification and sequencing success were assumed in samples respectively, 87 and 62, 75 and 37, 62 and 12, 75 and 37. The sequences were blasted with samples existed in NCBI database and Bioinformatics analyses were performed. In phylogenetic tree, the species belonging to the same genus were separated from other genus based on rbcL and trnH-psbA barcode sequences. Also, in ITS barcode only G. glabra organized with plants from same genus. In this study, barcoding of L. ledebourii with rbcL was done for the first time. SNPs were counted for barcodes of rbcL (less than 30), trnH-psbA (less than100), ITS (more than 200) and matK (less than 20). Thus, rbcL barcode due to high separation ability, low number of SNPs and universality in most species, was introduced as the best barcode. However, trnH-psbA and ITS barcodes due to related problem with direct sequencing of PCR products and lack of access to high quality sequences were identified as complementary barcodes. MatK barcode is not recommended for these samples because of the low ability of amplification and sequencing.</Abstract>
			<OtherAbstract Language="FA">DNA barcoding is a simple way to identify species using a very short genetic sequence from a standard part of the genome. This technique used to identify eight medicinal plants collected from the Ardabil province. DNA extraction was performed by modified CTAB method and PCR was performed with primers designed based on rbcL, trnH-psbA, matK Chloroplast barcodes and ITS nuclear barcode. Then, PCR products purified and sequenced. The percentage of amplification and sequencing success were assumed in samples respectively, 87 and 62, 75 and 37, 62 and 12, 75 and 37. The sequences were blasted with samples existed in NCBI database and Bioinformatics analyses were performed. In phylogenetic tree, the species belonging to the same genus were separated from other genus based on rbcL and trnH-psbA barcode sequences. Also, in ITS barcode only G. glabra organized with plants from same genus. In this study, barcoding of L. ledebourii with rbcL was done for the first time. SNPs were counted for barcodes of rbcL (less than 30), trnH-psbA (less than100), ITS (more than 200) and matK (less than 20). Thus, rbcL barcode due to high separation ability, low number of SNPs and universality in most species, was introduced as the best barcode. However, trnH-psbA and ITS barcodes due to related problem with direct sequencing of PCR products and lack of access to high quality sequences were identified as complementary barcodes. MatK barcode is not recommended for these samples because of the low ability of amplification and sequencing.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Bracodes rbcL</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">trnH-psbA</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">matK and ITS</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cropbiotech.journals.pnu.ac.ir/article_2051_6267b11f2ebe701755516a3ba7497ac0.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Crop Biotechnology</JournalTitle>
				<Issn>2252-0783</Issn>
				<Volume>4</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2015</Year>
					<Month>09</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Study on the presence of yellow and stem rust resistance genes in doubled haploid lines of bread wheat using molecular markers</ArticleTitle>
<VernacularTitle>Study on the presence of yellow and stem rust resistance genes in doubled haploid lines of bread wheat using molecular markers</VernacularTitle>
			<FirstPage>41</FirstPage>
			<LastPage>56</LastPage>
			<ELocationID EIdType="pii">2052</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Farshad</FirstName>
					<LastName>Bakhtiar</LastName>
<Affiliation>Ph.D. Student, Department of Crop Production and Plant Breeding, Campus of Agriculture and Natural Resources, Razi University, Kermanshah, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Ezatollah</FirstName>
					<LastName>Farshadfar</LastName>
<Affiliation>Professor, Department of Crop Production and Plant Breeding, Campus of Agriculture and Natural Resources, Razi University, Kermanshah, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mostafa</FirstName>
					<LastName>Aghaee Sarbarzeh</LastName>
<Affiliation>Professor, Cereal Research Department, Seed and Plant Improvement Institute, Karaj, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Habibollah</FirstName>
					<LastName>Ghazvini</LastName>
<Affiliation>Associate Professor, Cereal Research Department, Seed and Plant Improvement Institute, Karaj, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Farzad</FirstName>
					<LastName>Afshari</LastName>
<Affiliation>Professor, Cereal Research Department, Seed and Plant Improvement Institute, Karaj, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>06</Month>
					<Day>10</Day>
				</PubDate>
			</History>
		<Abstract>In this research, 150 wheat doubled haploid lines were produced using chromosome elimination method by crossing between wheat and maize. Resistance of doubled haploid lines, their parents and check cultivars against strip and stem rust was evaluated at seedling and adult plant stages. Accordingly, eight known molecular markers which are tightly linked to resistance genes including Yr5, Sr31/Yr9/Lr26, Yr15, Sr38/Yr17/Lr37, Lr34/Yr18/Pm38, Yr27, Yr36 and Yr48 were screened in parents. Results showed that molecular markers for Yr5, Yr15, Yr27 and Yr36 couldn&#039;t detect polymorphism between parents as well as positive and negative controls. For gene block Sr38/Yr17/Lr37 and locus Yr48 allele sizes were not similar to those which were expected for these genes. Results also showed that MV17 and Flanders have gene block of Sr31/Yr9/Lr26, and only 3 lines of population DH-26: Ghods*3/MV17 had this gene block from which two doubled haploid lines showed resistance reaction to TTSTK and TTKSK of Puccinia graminis pers. f.sp tritici races. Genetic test for the presence or absence of gene block Lr34/Yr18/Pm38 on parents of doubled haploid lines showed that MV17 comprises this gene block. Evaluation of doubled haploid lines for this gene block showed that 6 doubled haploid lines of population DH-26:Ghods*3/MV17 have gene block Lr34/Yr18/Pm38 for which only one doubled haploid line showed resistance reaction to Puccinia striiformis Westend f.sp. tritici race of 7E158A+, Yr27 at both seedling and adult plant stages.</Abstract>
			<OtherAbstract Language="FA">In this research, 150 wheat doubled haploid lines were produced using chromosome elimination method by crossing between wheat and maize. Resistance of doubled haploid lines, their parents and check cultivars against strip and stem rust was evaluated at seedling and adult plant stages. Accordingly, eight known molecular markers which are tightly linked to resistance genes including Yr5, Sr31/Yr9/Lr26, Yr15, Sr38/Yr17/Lr37, Lr34/Yr18/Pm38, Yr27, Yr36 and Yr48 were screened in parents. Results showed that molecular markers for Yr5, Yr15, Yr27 and Yr36 couldn&#039;t detect polymorphism between parents as well as positive and negative controls. For gene block Sr38/Yr17/Lr37 and locus Yr48 allele sizes were not similar to those which were expected for these genes. Results also showed that MV17 and Flanders have gene block of Sr31/Yr9/Lr26, and only 3 lines of population DH-26: Ghods*3/MV17 had this gene block from which two doubled haploid lines showed resistance reaction to TTSTK and TTKSK of Puccinia graminis pers. f.sp tritici races. Genetic test for the presence or absence of gene block Lr34/Yr18/Pm38 on parents of doubled haploid lines showed that MV17 comprises this gene block. Evaluation of doubled haploid lines for this gene block showed that 6 doubled haploid lines of population DH-26:Ghods*3/MV17 have gene block Lr34/Yr18/Pm38 for which only one doubled haploid line showed resistance reaction to Puccinia striiformis Westend f.sp. tritici race of 7E158A+, Yr27 at both seedling and adult plant stages.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Wheat</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Rust disease</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Molecular markers</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Doubled haploid</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cropbiotech.journals.pnu.ac.ir/article_2052_4501d0cd5b29e5198ad937e367ba6183.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Crop Biotechnology</JournalTitle>
				<Issn>2252-0783</Issn>
				<Volume>4</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2015</Year>
					<Month>09</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Validation and association analysis of microsatellite markers related to drought and salinity tolerance in Aerobic and Iranian rice under osmotic stress</ArticleTitle>
<VernacularTitle>Validation and association analysis of microsatellite markers related to drought and salinity tolerance in Aerobic and Iranian rice under osmotic stress</VernacularTitle>
			<FirstPage>57</FirstPage>
			<LastPage>72</LastPage>
			<ELocationID EIdType="pii">2053</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Tayebe</FirstName>
					<LastName>Raiesi</LastName>
<Affiliation>M.Sc. student of Plant Breeding, Department of Agronomy &amp; Plant Breeding, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Atefeh</FirstName>
					<LastName>Sabouri</LastName>
<Affiliation>Assistant Professor, Department of Agronomy &amp; Plant Breeding, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>05</Month>
					<Day>29</Day>
				</PubDate>
			</History>
		<Abstract>The present study was conducted to validate microsatellite markers associated with drought tolerance in rice, in the natural population, including foreign varieties, aerobic rice and Iranian varieties. Plant material under normal and two levels of osmotic stress (-8 and -16 bar using of mannitol) were evaluated by standard germination test in terms of 14 traits. Genotyping was done using 26 pairs of microsatellite markers on 53 genotypes of rice. The results of the structure analysis showed the number of clusters that maximizes ΔK parameter is three. Then association analysis was conducted using the matrix structure of the population by GLM and MLM statistical models. Two MLM models identified, 75 and 30 markers for studied traits at 5% level, respectively. The markers RM11943, RM104, RM190, RM28166, RM231, RM510, RM270, RM19367 and RM431 were identified as markers associated with tolerance to osmotic stress with explain variation of several germination traits. Also the results indicated RM270 with 40.4% of the seed vigor, RM276 with explain variation of 33.9% of the percentage of water content of the seedling, and RM523 with explain variation of 40.6% and 30.7% of the speed of germination coefficient, had highest of coefficient of determination under stress relatively to other markers. That could be a reason for conformation of their relationship with germination traits under osmotic stress. Considering of the obtained results, after verification of results in the other genetic backgrounds we can use these markers in the breeding programs.</Abstract>
			<OtherAbstract Language="FA">The present study was conducted to validate microsatellite markers associated with drought tolerance in rice, in the natural population, including foreign varieties, aerobic rice and Iranian varieties. Plant material under normal and two levels of osmotic stress (-8 and -16 bar using of mannitol) were evaluated by standard germination test in terms of 14 traits. Genotyping was done using 26 pairs of microsatellite markers on 53 genotypes of rice. The results of the structure analysis showed the number of clusters that maximizes ΔK parameter is three. Then association analysis was conducted using the matrix structure of the population by GLM and MLM statistical models. Two MLM models identified, 75 and 30 markers for studied traits at 5% level, respectively. The markers RM11943, RM104, RM190, RM28166, RM231, RM510, RM270, RM19367 and RM431 were identified as markers associated with tolerance to osmotic stress with explain variation of several germination traits. Also the results indicated RM270 with 40.4% of the seed vigor, RM276 with explain variation of 33.9% of the percentage of water content of the seedling, and RM523 with explain variation of 40.6% and 30.7% of the speed of germination coefficient, had highest of coefficient of determination under stress relatively to other markers. That could be a reason for conformation of their relationship with germination traits under osmotic stress. Considering of the obtained results, after verification of results in the other genetic backgrounds we can use these markers in the breeding programs.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Structural Analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Components of germination</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Drought stress</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">SSR markers</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cropbiotech.journals.pnu.ac.ir/article_2053_4b7517fbcfab242d9ba5f53a212396da.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Crop Biotechnology</JournalTitle>
				<Issn>2252-0783</Issn>
				<Volume>4</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2015</Year>
					<Month>09</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Identification of SSR loci related to some important agromorphological traits in different sunflower (Helianthus annus L.) lines using association mapping</ArticleTitle>
<VernacularTitle>Identification of SSR loci related to some important agromorphological traits in different sunflower (Helianthus annus L.) lines using association mapping</VernacularTitle>
			<FirstPage>73</FirstPage>
			<LastPage>87</LastPage>
			<ELocationID EIdType="pii">2054</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Sahranavard Azartamar</LastName>
<Affiliation>M.Sc. in Plant Breeding, Department of Plant Breeding and Biotechnology, Urmia University, Urmia, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Reza</FirstName>
					<LastName>Darvishzadeh</LastName>
<Affiliation>Associate Professor, Department of Plant Breeding and Biotechnology, Urmia University, Urmia, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mortaza</FirstName>
					<LastName>Ghadimzadeh</LastName>
<Affiliation>Associate Professor, Department of Plant Breeding and Biotechnology, Urmia University, Urmia, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Heydar</FirstName>
					<LastName>Azizi</LastName>
<Affiliation>Ph.D. student in Plant Breeding, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Zahra</FirstName>
					<LastName>Aboulghasemi</LastName>
<Affiliation>M.Sc. in Plant Breeding, Department of Agronomy and Plant Breeding, Islamic Azad University, Tabriz Branch</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</History>
		<Abstract>Since the economic value of cultivar depends on different characteristics, thus detailed knowledge on genetic behavior and identification of genomic loci linked to these traits will help to improve plant cultivars. In this investigation, relation and linkage between of 30 microsatellite markers with some of important agromorphological traits in 106 different sunflower lines was evaluated through GLM and MLM association models in Structure and TASSEL software. Based on the 30 microsatellite markers used in this study, population genetic structure subdivided into five subpopulations (K=5) that barplat results also confirmed it. In association analysis based on GLM and MLM models, 9 and 16 loci showed significant relation with assessed traits, respectively, and explained considerable variations of this studied traits. In this study, some co-localized QTLs were identified for studied traits. Common markers between of traits can be due to pleiotropic effects or linkage between of genomic regions involved in these traits. Results of the current study presented useful information about the genetic basis of the studied traits and can be used in different sunflower breeding programs including marker aided selection. In future studies, coding genes of important agronomical traits could be identified by sequencing of loci with highest R2 (ORS1209, ORS822 and ORS649). Markers with highest association to traits can be used for saturating linkage maps.</Abstract>
			<OtherAbstract Language="FA">Since the economic value of cultivar depends on different characteristics, thus detailed knowledge on genetic behavior and identification of genomic loci linked to these traits will help to improve plant cultivars. In this investigation, relation and linkage between of 30 microsatellite markers with some of important agromorphological traits in 106 different sunflower lines was evaluated through GLM and MLM association models in Structure and TASSEL software. Based on the 30 microsatellite markers used in this study, population genetic structure subdivided into five subpopulations (K=5) that barplat results also confirmed it. In association analysis based on GLM and MLM models, 9 and 16 loci showed significant relation with assessed traits, respectively, and explained considerable variations of this studied traits. In this study, some co-localized QTLs were identified for studied traits. Common markers between of traits can be due to pleiotropic effects or linkage between of genomic regions involved in these traits. Results of the current study presented useful information about the genetic basis of the studied traits and can be used in different sunflower breeding programs including marker aided selection. In future studies, coding genes of important agronomical traits could be identified by sequencing of loci with highest R2 (ORS1209, ORS822 and ORS649). Markers with highest association to traits can be used for saturating linkage maps.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">sunflower</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Linkage disequilibrium</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Molecular markers</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cropbiotech.journals.pnu.ac.ir/article_2054_95eb5bf8d3077f10c26450b6b53d7142.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
