Author
Elham Fasihfar
Bio: Elham Fasihfar is an academic researcher from Tarbiat Modares University. The author has contributed to research in topics: Regression analysis & Canonical correlation. The author has an hindex of 2, co-authored 2 publications receiving 22 citations.
Papers
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TL;DR: In this paper, a new programing based on SAS-language (IML) was introduced to estimate the genetic parameters rooted from combined ANOVA model (linear mixed model), which is capable of being used in any field study other than the current one.
Abstract: The main objectives of this study were to find the possible structural association between the activity of enzymatic antioxidants and the grain yield of triticale plants as well as identifying the genotypic variability which might be effective on this association. Accordingly, expression levels of superoxide dismutase (SOD) isozymes (Mn-SOD, Cu/Zn-SOD, and Fe-SOD) were appraised to distinguish any possible relationship between SOD expression and drought resistance of triticale. A novel analytical method for distinguishing elite genotypes based on measured features was proposed. Additionally, a new programing based on SAS-language (IML) was introduced to estimate the genetic parameters rooted from combined ANOVA model (linear mixed model), which is capable of being used in any field study other than the current one. Thirty genotypes of triticale were studied under normal and drought stress conditions during 6 years (three different locations). Accordingly, based on the results of genetic variability, heatmap analysis, biplot graph, and clustering technique, two genotypes with the highest genetic distance were selected to appraise the differential expression profiling of three SOD isozyme in shoot and root organs. Field experiments and bioinformatics results showed that superoxide dismutase (SOD) was the most influential antioxidant in resistance of triticale to drought stress; therefore, it could be used as an indirect selection index in early stages to distinguish resistant genotypes to drought stress. Additionally, Mn-SOD and Fe-SOD showed roughly similar expression levels for both genotypes under drought stress. However, Cu/Zn-SOD expression level was higher in root and shoot of the tolerant genotype than the susceptible genotype. Heatmap analysis that is applied for the first time to screen suitable genotypes, showed to be highly capable of distinguishing elite genotypes and pointing out the proper features for selection criteria. Bioinformatics results indicated that SOD is more important than other enzymatic antioxidant for being considered as selection criteria or candidate gene for transgenic purposes. Based on expressional results, Mn-SOD announced as a general isozyme that is probably highly expressed in most of the species, while, Cu/Zn-SOD was introduced as a genotype specific isozyme that is likely more expressed in tolerant genotypes
34 citations
Journal Article•
TL;DR: In this article, a review of multivariate statistical methods to explain relationships among different variables and making decisions for future works with examples relating to the agriculture and plant science is presented. But, the authors do not discuss how to use these methods to make decisions.
Abstract: Most scientists make decisions based on analyzing of the obtained data from researches works. Almost all data in science are abundance and by themselves they are of little help unless they are summarized by some methods and appropriate interpretations have been made. The data set may contain so many observations that stand out and whose presence in the data cannot be justified by any simple explanation. Multivariate statistical technique is a form of statistics encompassing the simultaneous observations and analysis of more than one statistical variable. In this review we are trying to clarify how multivariate statistical methods such as multiple regression analysis, principal component analysis (PCA), factor analysis (FA), clustering analysis, and canonical correlation (CC) can be used as methods to explain relationships among different variables and making decisions for future works with examples relating to the agriculture and plant science.
26 citations
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TL;DR: A gas–chromatography–flash electronic nose technique was combined with chemometric analysis to develop a rapid method for the discrimination of CTKS of various ages to protect the quality and prestige of this product.
Abstract: Chinese kaoliang spirit (CTKS) is a popular liquor within the Yue nation with a history dating back 2500 years. However, fraudulent practices have occurred during its commercialization, including the production and sale of adulterated spirits that have been aged differently. Here, a gas–chromatography–flash electronic nose technique was combined with chemometric analysis to develop a rapid method for the discrimination of CTKS of various ages. Models for discrimination were developed using principal component analysis and discriminant factor analysis. We also investigated the volatile organic compounds in CTKS to determine differences between samples of different ages. The electronic nose technique combined with chemometric methods may be used for fingerprinting to authenticate CTKS and protect the quality and prestige of this product.
22 citations
Journal Article•
13 citations
TL;DR: The overall results of biplot showed that varieties Danesiah, Eram, and Yoosef, which had higher grain yield than average for both conditions, were suitable varieties in order to be screened for both normal and drought stress conditions.
Abstract: With regards to the importance of drought stress and genotype screening under stress conditions, the current study was conducted to evaluate barley varieties in response to drought stress and find ...
10 citations
TL;DR: In this article, the relationship between yield stability index (YSI) and some physiological traits related to plant water status was modeled by using a randomized complete block design with three replications under two different environments (irrigated and rainfed).
Abstract: The objective of the present study was to model the relationship between yield stability index (YSI) and some physiological traits related to plant water status. Fifteen bread wheat (Triticum aestivum L.) genotypes with wide range of sensitivity to drought were used in a randomized complete block design with three replications under two different environments (irrigated and rainfed) in 2012-2013 at the experimental farm of College of Agriculture, Razi University, Kermanshah, Iran. The results showed that YSI had positive and significant relationship with relative water protection (RWP, r = 0.858**), relative water content (RWC, r = 0.594*), canopy temperature depression (CTD, r = 0.669**), stomata resistance (SR, r = 0.643**) and evapotranspiration efficiency (ETE, r = 0.818**), and negative significant correlation with relative water loss (RWL, r = – 0.822**) and excised leaf water loss (ELWL, r = – 0.543*) under drought stress condition. Also ETE (0.46*) and RWP (0.806) had the highest direct and indirect effects on YSI, respectively. Multiple linear regression analysis indicated that the predicting model for YSI explained 97.9% of the total variation within the measured traits. The residual plots analysis indicated no problem in the model with selected variables. On the other hand, t-test showed that some of the variables are not important to be present in this model. The results of path and stepwise multiple linear Original Research Article Annual Research & Review in Biology, 4(5): 778-789, 2014 779 regression analysis indicated that ETE (R = 73.5%), RWP (R = 11.9%), CTD (R = 6.9%) and RWC (R = 3%) were the best physiological traits related to water status for modeling of YSI.
10 citations
TL;DR: In this paper, a genome wide study of SOD gene family was conducted to identify BrSOD genes, their domain-based organization, gene structure analysis, phylogenetic analysis, intron-exon structure of genes and expression analysis.
7 citations