According to the classification of plants tolerance to salinity sorghum is a moderately tolerant plant and it’s salt tolerance threshold is 4.9 to 6.8 dS-1 m. Sorghum is very sensitive to salinity at the early vegetative and reproductive growth stages, while less sensitive at grain filling stage. In order to identify salt tolerant varieties of sorghum at seedling stage and to finding SSR molecular marker associated with salt tolerance characteristics, this study was conducted in two separate experiments. The first experiment was conducted in factorial based on completely randomized design with three replications. The first factor consisted of four levels of salinity including control (Hoagland solution), 5, 10 and 20 dS-1m and the second factorconsisted 10sorghum genotypes (Sor834, Sor1003, Sor1009, Sor1011, Sor857, Sor808, Sor1006, MTS, LTS and HTS). 20 days after the salinity treatments application root dry weight, leaf dry weight, stem length, leaf area, leaf proline content, leaf soluble sugar, leaf sodium, potassium, magnesium and calcium contents were measured. results showed that salinity and genotype interaction was significant for all measured traits at 1% probability level. Leaf dry weight showed positive and significant phenotypic correlation with potassium content in salinity strees condition. Genetic correlation was negative and significant between leaf calcium and potassium content while calcium content showed positive and significant genetic correlation with proline and soluble sugar content. The most significant and positive genetic and phenotypic correlations was obsorved for leaf dry weight and leaf potassium in content salt stress condition. on three-dimensional plot of Yp, Ys and STI Sor834, Sor1011, Sor1006 and Sor857 were suitable genotypes for salinity and non-stress conditions. In general sor834 genotype showed more salt tolerance at seedling growth stage. The results of stress intensity showed that salinity affected the sodium to potassium ratio with SI=0.96 more than other traits. In the second experiment, 10 microsatellite primer pairs were used to study the genetic diversity among above mentioned sorghum genotypes. After DNA extraction and amplification by SSR primers, the resulting bands were scored and subjected to statistical analysis. The average polymorphic information content for accessed primers was 0.48 and the mean observed and expected heterozygosity for all primers, were 0.29 and 0.39 respectively. Cluster analysis based on molecular data using Jaccard’s similarity coefficient and UPGMA method, classified the genotypes of sorghum into four major groups. Based on principal component analysis results, the first two components PCA1 and PCA2 explained, 50.08 and 10.08 (total 60.15 %) of the total variance expressed respectively, indicating that SSR markers distribution have been relatively good across the genome. The results of binary logistic regression suggests a possible linkage between alleles ALL2-P8 and ALL1-P6 with salt tolerance index (STI) and leaf dry weight respectively, recommended to be used for screening of salt tolerant cultivars after final confirmation.

Keywords: Logistic Regression, Salinity,Sorghum, SSR Marker

Evaluation of salt tolerance of different sorghum cultivars at seedling stage and its relationships with SSR molecular markers

By
Soghera Khoramipoor

A thesis submitted to the office of the post-Graduate, in partial fulfillment of the requirement for the degree of

M. Sc.
In

Plant Breeding

1- Supervisor:……………………………..Dr. Masoud Dedari

2- Advisor:…………………………………Dr. Reza Amiri Fahliani

3- Internal Examiner…………………….Dr. Asad Masoumiasl

4- External Examiner:……………………Dr. Mohsen Movahhedi Dehnavi

5- Representative of the Post- Graduate office…….Dr. Ebrahim Adhami

Septamber 2014

Yasouj University
Faculty of Agriculture
Department of Agronomy and Plant Breeding

M. Sc. Thesis

Evaluation of salt tolerance of different sorghum cultivars at seedling stage and its relationships with SSR molecular markers

Supervisors:
Dr. Masoud Dedari
Dr. Foad Moradi

Advisor:
Dr. Reza Amiri Fahliani

By:
Soghera Khoramipoor

Septamber 2014

1-Dogget
2-Flower
3-Abrol
4- Comba
5-Taylor

1- Arif
2- Acharya

8- Ottman and Olsen
9-Levitt
10- Mass and Grieve
11 -Netonda
12- Mass and Hafman
13-Ashraf and MacNielly
3- Shanon
1 -Chen and Plant

1-Jeschke and Wolf
2-Cramer
3-Kawasaki and Moritsugu
4- Delgado

1- Orrcut and Nilsen
2- Ahmad and Hellebust
3- Greenway and Munns
4- Hurry

1- Parvaiz and Satyawati
2- Dubey and Singh
3- Wang and Zhang

1- Munns and Termaat
2- Parida and Das
3- Yeo
4- Bharadwag

1-Lavi
2- Pearce
3- Nandakumer
4- Delseny
5- Kingsbury and Epestein
6- Zhang
7- Naghavi

1- Alwala
2-Tamnykh
3-Sharopova

1-Fritz
1-Johnson
2-Virk
3- Dje
4- Polymerase Chain Reaction
5-Foisset
6- Simple Sequence Repeat

1- Simple Sequence Length Polymorphisms
2- Short Tandem Reaction repeats
3- Simple Sequence Motifs
4- Sequence Tagged Microsatelite Sites

1-Shanon index
2-Dean
3-Ji
4- Senior
5- Matus and Hayes
6- Mango

1-Hogland and Arnon
1-Paquine and Lechasseur
1-L-Proline
1-Total Soluble Sugar
2- Irigoyen

1-Patterson
1-Stress intensity
2- Stress Tolerance Index
3- Frnandez

1-Sum of Square and Cross Product Variety
2-Sum of Square and Cross Product Error

1-Tris Borate Ethylene Di-amin Tetra Acetate (TBE)
2- Gel Tray
3-Loading dye
4- Williams
5- Shehzad

1-Master mix
2-Hecker and Roux
1- Scoring
2- Numerical Taxonomy and Multivariance Analysis System
3- Population Genetic Analysis
4- Mantel Test
5- Botstein
1- Kimura and Craw
2- Leven
3- Lewontin
4- Cluster analysis
5- Dandrogram

1- Rosiel and Hamblin
1- Estilai
2-Garcia
1-Bohnert and Tensen
1-Tiwari
2-Bassil and Kaffka
3- Sepaskhah and Boersma
4-Redmann
5-Wignarajah
1ndulkar and More
2- Rawson
3-Leuchli and Epesten
4-Deamirkaya and Ipek
5-Yang
1- Bajji
2- Girija
3- Badzinski and Stewart
4- Chu
5- Strpagonov
6- Girma and Krieg

1- Weimberg
2- Silva

1-Blacke
2- Van Horn
3- Ashraf and Oleary
1- Delgado and Sanchez-Raya
2-Devitt
3-Tiwar
4- Francois
1- Meneguzzo
2- Chen
3- Clarc
1- Vonarx
2- Rolf
3-Vigoruroux
4-Kimani

1- Hugo
2- Celucia

124 -Ethylenediaminetetraacetic acid
125- Tris Borate EDTA
126 -Boric Acid
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