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In dry land areas of the western half of Iran, chickpea due to exposure to rotation with wheat and barley play an important role in maintaining survival of agriculture in these regions. Seed priming is a simple and cheap method and is highly efficient and acceptable, especially in areas with low fertility. In this study, effects of different times of hydropriming on yield, yield components, phenological characteristics and percentage of protein of chickpea (Cicer arietinum L.) were examined in a randomized complete block design with three replicates in 2010. Seeds of chickpea were exposed at six different hydropriming times (2 h, 4 h, 6 h, 8 h, 10 h and control). The results of this experiment showed that the effect of hydropriming treatments for main branch and lateral branch number, number of pod per plant, biological yield, grain yield, time from planting to emergence, emergence to flowering, flowering to bloom and pod forming and growth length was significant. However, there was no significant difference between treatments in terms of plant height, number of seed per pod, number of empty pod, seed thousand weight, harvesting index, pod forming to seed pods and blooming to maturity, and percentage of seed protein.Key words: Chickpea, yield, phenological characteristics, hydropriming.

Proteomics is a powerful technique to study proteomes extracted from biological sources. Proteome analysis classically is based on two-dimensional electrophoresis (2D-E) for protein separation and mass spectrometry (MS) for the protein identification. The serum protein analysis is a useful diagnosis that can be used as an indicator of the physiological or clinical status of a patient. One of the central and critical steps is sample application, therefore this method should be considered and optimized for 2-DE with immobilized pH gradient. The aim of this study was focused on comparative application of ingel (rehydration loading) and in-cup (cup loading) sample application for 2-DE of human serum analysis. The results indicate that the number of spots detected with the rehydration loading was higher than the number obtained by cup-loading sample application. Also in this work, in order to obtain the best result with high resolution, a 2-DE procedure was optimized.Key words: Proteomics, 2D-E, proteome, sample application.