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

Document Type : Research Paper

Authors

1 M.Sc. Student, Vali-e-Asr University of Rafsanjan, Iran

2 Professor, Vali-e-Asr University of Rafsanjan, Iran

3 Professor, University College of Agriculture & Natural Resources, University of Tehran, Karaj, Iran

4 Associate 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.

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Main Subjects

References

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Iranian Journal of Field Crop Science
Volume 48, Issue 2 - Serial Number 2
September 2017
Pages 567-578

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History

  • Receive Date: 27 June 2016
  • Revise Date: 01 February 2017
  • Accept Date: 20 February 2017
  • Publish Date: 23 August 2017

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