Dryland Agricultural Research Sub Institute
Dryland Agricultural Research Sub Institute
Mehrabi A.M.,Islamic Azad University at Tehran |
Mostafaie A.,Kermanshah University of Medical Sciences |
Harvan E.M.,University of Tehran |
Reza H.,Dryland Agricultural Research Sub Institute |
And 2 more authors.
Ecology, Environment and Conservation | Year: 2013
Drought is one of the major factors limiting the yield of wheat (Triticum aestivum L.) particularly during heading and grain filling. A comparative proteomic analysis conducted utilizing protein pattern of flag leaves of two contrasting wheat cultivars, Azar 2 (Drought tolerant variety) and Marvdasht (Drought susceptible variety) subjected to a range of drought stress (100%, 80% and 60% Field capacity) for five days at heading stage. 289 differentially expressed protein spots (DEPs) were located, 42 spots only showed reproducible significant changes in Azar 2 and 13 of them had a certain procedure in range of drought stress. Twelve spots were up-regulated and one spot was down regulated. Eleven spots only showed significant changes in Marvdasht and six of them had a certain procedure in range of drought stress and two spots were up-regulated and 4 were down-regulated. Copyright © EM International.
Farshadfar E.,Razi University |
Rahmani S.,Islamic Azad University at Kermānshāh |
Jowkar M.M.,Islamic Azad University at Kermānshāh |
Shabani A.,Dryland Agricultural Research Sub Institute
Australian Journal of Crop Science | Year: 2014
In order to locate QTLs controlling agro-physiological indicators of drought tolerance and estimation of genetic parameters, disomic chromosome addition lines of Agropyron elongatum (donor) into the genetic background of Chinese Spring (recipient) were tested in the field under rainfed condition. Analysis of variance exhibited significant differences for seed per plant (SPP), seed per spike (SPS), seed weight (SW), earliness (ERL), grain filling period (GFP), relative water content (RWC) and leaf water potential (LWP) indicating the presence of genetic variability and possible chromosomal localization of QTLs monitoring agro-physiological criteria of drought tolerance in Agropyron. Comparison of means showed that the disomic addition lines 3E, 5E, 5E, 6E, 7E, 7E and 3E had the highest grain yield (GY), SPP, SPS, SW, HI, RWC and LWP respectively, while chromosomes 3E, 4E and 2E revealed the lowest amount of ERL, GFP and RWL, therefore QTLs controlling agro-physiological indicators of drought tolerance in Agropyron are distributed on chromosomes 2E, 3E, 4E, 5E, 6E and 7E among which chromosomes 3E, 5E and 7E are outstanding. High broad sense heritability was observed for all characters except SPP and LWP expressing low genetic potentials, high effect of environment and absence of additive gene action in the inheritance of SPP and LWP. High co-heritability was observed between SPS and RWC (2.953), GFP and RWL (1.925), SPS and GFP (1.813) and SPS, harvest index (HI), ERL and RWC with GY exhibiting that selection of either of the characters would simultaneously affect the others positively.
Pourdad S.S.,Dryland Agricultural Research Sub Institute |
Moghaddam M.J.,Dryland Agricultural Research Sub Institute
Helia | Year: 2013
The evaluation of GE interaction is an important component of the cultivar selection process in multi-environment trials (METs). GGE biplot analysis is an effective method which is based on the principal component analysis (PCA) in order to fully explore METs. The objectives of the present study were first to analyze the GE interaction in the seed yield of 15 sunflower inbred lines through the application of GGE biplot technique, as well as to identify suitable sunflower inbred lines with both mean performance and high stability. Seed yield of 15 sunflower inbred lines which were derived from 5 basic populations was tested in a randomized complete block design with three replications. These inbred lines were tested from 2008 to 2011 at the Sararood agricultural research station in western Iran, which created 6 environments in total. The results of variance analysis showed the significance of environmental variance compared to the genotype and GE interaction variances. The first two principle components (PC1 and PC2) together explained 68.2% of the total variability, so most of the information could be graphically displayed in the PC1 vs PC2 biplot. Polygon view of GGE biplot revealed that G3 was the inbred line with the highest seed yield in four out of six environments. The average environment coordinate (AEC) biplot showed that G3 with the highest mean yield was a highly stable inbred line as it was positioned close to the AEC abscissa. The second highest yielding and most stable inbred line was G10. The biplot of comparison of the sunflower inbred lines with the ideal genotype revealed that G3 was the closest inbred line to the ideal cultivar. Therefore, this inbred line seems to be widely adapted across several environments. According to the biplot of the ideal environment it was concluded that E1 was the closest to ideal environment and therefore the most desirable of all six environments. So, E1 is the most effective for the selection of superior inbred lines.