Mapping genomic regions of Morphological and Physiological Traits of wheat under salinity stress in Greenhouse Conditions

Khosravi, H. (2013) Mapping genomic regions of Morphological and Physiological Traits of wheat under salinity stress in Greenhouse Conditions. Masters thesis, University of Zabol.

Mapping genomic regions of.pdf

Download (159kB) | Preview


Many of the traits involved in drought resistance in plants are controlled by multiple genes, so QTL detection and its application in marker-assisted selection (MAS) to improve plants plays an important role. In order to map the Genes/QTLS for Salinity resistance in wheat, and to determine the portion of each QTL in the phenotypic variation of the related traits, 167 RIL derived from greenhouse of Zabol University in 2012. The experiments were arranged as to completely randomized block design, with two replicates and two treatments normal and saline. The studied traits were phonologic traits, morphologic traits and physiologic traits including: chlorophyll contents, chlorophyll florescence, Plant height, Seed yield, SCW, RWC, Praline, After measuring traits, statistical analysis achieved for phenotypic surveys such as analysis of variance, correlation between traits, Stepwise regression, cluster analysis, principal component analysis and factor analysis. Analysis of variance result showed significant difference among the lines and different salinity levels for most of the traits. The maximum correlation observed between Plant height and Seed yield (r= 0.84**). In stepwise regression of traits Plant height, Fm,, Days to germination, chlorophyll contents first traits that entire to model respectively and explained 66% of variation in normal condition and Plant height, Days to germination, Fm, Number of nodes, Fo and Fv/Fm were first traits that entered the model in stress condition respectively and explained 78/8% of total variation. In PCA analysis, the first tree principal components explained 51% of the total variability in normal condition and the first four principal components explained More than 50% of the total variability in stress condition. Factor analysis extracted characters taken into consideration and named as physiological factor, Phonological factor, Morphological factors respectively. Using cluster analysis grouped genotypes to salinity stress in normal conditions 4 and 5, respectively, were identified. QTL analysis was carried out using genetic linkage map derived from 249 markers of AFLP marker, 74 SSR and 264 of DART marker and QTL cartographer software with composite interval mapping method. In total 44 QTL was found for the traits (15 QTL for free drought condition, 15 QTL for Salinity condition, 14 QTL for the mean of these two conditions). Phenotypic variation that were explained by these QTLs, varied from 3.00-23.25%. The highest and lowest phenotypic variances were related to Days to tiller in normal condition and Days to germination in Salinity condition. LOD ranged between 2.51 and 4.44. The highest and lowest LOD were attained for the QTLs of Days to tiller in normal condition and Plant height in Salinity condition.

Item Type: Thesis (Masters)
Uncontrolled Keywords: QTL, Salinity stress, recombinant inbred line, wheat
Subjects: S Agriculture > SB Plant culture
Depositing User: admin admin1 admin2
Date Deposited: 23 Feb 2016 05:44
Last Modified: 23 Feb 2016 05:44

Actions (login required)

View Item View Item