Document Type : Research Paper
Authors
1
Post Graduate Student, Department of Agronomy and plant Breeding. Faculty of Agricultural Science, University of Mohaghegh Ardabili, Ardabil – Iran
2
Assistant Professor, Department of Agronomy and plant Breeding, Faculty of Agricultural Science, University of Mohaghegh Ardabili, Ardabil – Iran
3
Assistant Professor, Department of horticulture, Agriculture and natural resource campus, University of Tehran, Karaj - Iran
4
Associated Professor, Department of Agronomy and plant Breeding, Faculty of Agricultural Science, University of Mohaghegh Ardabili, Ardabil - Iran
5
PhD Student of Agricultural Biotechnology, Department of Agronomy and plant Breeding, Faculty of Agricultural Science, University of Mohaghegh Ardabili, Ardabil – Iran
Abstract
In order to evaluation of the relationship among protein markers and traits such as proline content variation, quantum efficiency of photosystem II and field viability index, 20 genotypes of barely were studied in a randomized complete block design in the greenhouse experiment. Plants were transferred to springhouse at the four leaf stage and were located at the temperature of 4°C for three weeks. The leaves were sampled, before and after the adaptation phase, to measure proline amount and quantum efficiency of photosystem II (Fv/Fm). Then freezing treatments were applied by temperatures of -4, -7, -10, -13 and -16. Also, these genotypes were planted in the field to determine the parameters of LT50 and FSI. According to our findings, some significant relations between protein markers and freezing resistance in hordeum vulgar was determined. According to A-PAGE technique, The obtained results showed decreasing trends in quantum efficiency of photosystem II, respectively, during adaptation phase. It was found significantly negative correlations between FSI and LT50 (-0.601). Cluster analysis classified by FSI, LT50, proline, Fv/Fm, the genotypes of F-A1-1, F-A1-2, F-A2-11 and F-GRB-85-5 and cultivars of Sahra, Sahand, Dasht and Makooii were located in group that had a high value of FSI and LT50. In this recearch, Makooii knowened as the most resistant veriety because of LT50= -17.66 and high FSI value. Based on regression analysis, there are relationship among four markers and LT50. Our results showed that we can introduce these markers as selection of the resistant lines.
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