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Usefi, M., Dashti, H., Bihamta, M., Madah Hosseini, S. (2017). Analysis of genetic diversity in agronomic traits of Chickpea (Cicer arietinum L.) genotypes using multivariate methods. , 48(2), 567-578. doi: 10.22059/ijfcs.2017.210390.654142
Malihe Usefi; Hossein Dashti; Mohammad Reza Bihamta; Shahab Madah Hosseini. "Analysis of genetic diversity in agronomic traits of Chickpea (Cicer arietinum L.) genotypes using multivariate methods". , 48, 2, 2017, 567-578. doi: 10.22059/ijfcs.2017.210390.654142
Usefi, M., Dashti, H., Bihamta, M., Madah Hosseini, S. (2017). 'Analysis of genetic diversity in agronomic traits of Chickpea (Cicer arietinum L.) genotypes using multivariate methods', , 48(2), pp. 567-578. doi: 10.22059/ijfcs.2017.210390.654142
Usefi, M., Dashti, H., Bihamta, M., Madah Hosseini, S. Analysis of genetic diversity in agronomic traits of Chickpea (Cicer arietinum L.) genotypes using multivariate methods. , 2017; 48(2): 567-578. doi: 10.22059/ijfcs.2017.210390.654142

Analysis of genetic diversity in agronomic traits of Chickpea (Cicer arietinum L.) genotypes using multivariate methods

علوم گیاهان زراعی ایران
Article 24, Volume 48, Issue 2, September 2017, Pages 567-578    PDF (781.67 K)
Document Type: Research Paper
DOI: 10.22059/ijfcs.2017.210390.654142
Authors
Malihe Usefi1; Hossein Dashti* 2; Mohammad Reza Bihamta3; Shahab Madah Hosseini4
1M.Sc. Student, Vali-e-Asr University of Rafsanjan, Iran
2Professor, Vali-e-Asr University of Rafsanjan, Iran
3Professor, University College of Agriculture & Natural Resources, University of Tehran, Karaj, Iran
4Associate Professor, Vali-e-Asr University of Rafsanjan, Iran
Abstract
To study the genetic diversity of chickpea cultivars, 57 chickpea genotypes along with six controls (Jam, Korosh, Hashem, Azad, Arman and local variety) were planted in Shahrbabak during 2014-2015. Agronomic traits including, number of days to flowering, the total number of pod per plant, number of empty pods per plant, number of full pod per plant, number of seeds per plant, biologic dry weight, harvest index and seed weight  was measured. Results indicated that most traits have a wide range of variation, as indicating high variability in genotypes. The highest coefficient of variability for the number of pods per plant (34.8%) and the lowest coefficient of phenotypic variations was observed for the number of days to flowering (7.52%). Genotypes were grouped in three clusters. Five factors extracted in factor analysis explained 89.59 % of total variations. The results of stepwise regression showed that the number of pods per plant, harvest index, biological dry weight per plant and 100KW had the greatest impact on yield. Finally, based on genotypes rank in traits that had most effectiveness on grain yield and yield stability index, the genotypes: Mahan (606), ILC482, Esfahan (478) and Uromyeh (129) were selected to replanting along with local genotype in an experimental desgin in Shahrbabak for selecting the best genotype and  introduce for  shahbabak  region.
Keywords
Chickpea; Cluster; factor; Rank; Stability
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