EVALUATION OF GENETIC DIVERSITY OF EINKORN GENOTYPES MAINTAINED IN THE NATIONAL COLLECTION OF BULGARIA BY MULTIVARIATE ANALYSIS

Volume 1, Issue 1, October 2016     |     PP. 1-15      |     PDF (262 K)    |     Pub. Date: September 27, 2016
DOI:    2576 Downloads     17514 Views  

Author(s)

Gergana Desheva, Institute of Plant Genetic Resources “Konstantin Malkov”, 2 Druzhba Str., 4122 Sadovo, Bulgaria
Bozhidar Kyosev, Institute of Plant Genetic Resources “Konstantin Malkov”, 2 Druzhba Str., 4122 Sadovo, Bulgaria

Abstract
The knowledge about of genetic diversity of einkorn wheat (Triticum monococcum L.) genotypes is a key to reliable and sustainable production of the food crops adapted to diverse conditions. Twenty two einkorn accessions from the National genebank of Bulgaria were carried out in the experimental field of IPGR-Sadovo, Bulgaria during 2013-2015 growing seasons. Twelve agronomical traits were included in the study. Significant genotypic differences were observed for all studied traits indicating considerable variations among genotypes for each character. Grain yield per plant correlated positively with thousand kernel weight and grain weight per spike. The results from stepwise regression analysis showed that grain weight per spike and number of productive tillers per plant had justified approximately 72% of grain yield variations. Principal Component analysis was applied to group accessions according to similarity on the basis of twelve traits in five components in the factor plane. The first five components explained 82.32% of total variation in the experiment. Cluster analysis based on the five factors grouped the genotypes into four groups. Genotypes in the fourth cluster had the highest mean with respect to first factor. Members of this group can use for increase in number of grain per spike, thousand grain weight and grain yield per plant in breeding programs.

Keywords
einkorn, genetic diversity, correlation, stepwise regression, PC-analysis

Cite this paper
Gergana Desheva, Bozhidar Kyosev, EVALUATION OF GENETIC DIVERSITY OF EINKORN GENOTYPES MAINTAINED IN THE NATIONAL COLLECTION OF BULGARIA BY MULTIVARIATE ANALYSIS , SCIREA Journal of Agriculture. Volume 1, Issue 1, October 2016 | PP. 1-15.

References

[ 1 ] Hai-Chun J., D. Kornyukhin, K. Kanyuka, S. Orford, A. Zlatska, O.P. Mitrofanova, R. Koebner and K. Hammond-Kosack. 2007. Identification of variation in adaptively important traitsand genome-wide analysis of trait–marker associations in Triticum monococcum. Journal of Experimental Botany, 58 (13), 3749–3764.
[ 2 ] Zohary D., M. Hopf. 2000. Domestication of plants in the Old World. Oxford University Press, Oxford.
[ 3 ] Wieser H., K.J. Mueller, P. Koehler. 2009. Studies on the protein composition and baking quality of einkorn lines. European Food Research Technology, 229: 523-532.
[ 4 ] Zaharieva M. and P. Monneveux. 2014. Cultivated einkorn wheat Triticum monococcum L. subsp. monococcum): the long life of a founder crop of agriculture. Genetic Resources and Crop Evolution, 61(3), 677–706.
[ 5 ] Stagnari F., P. Codianni, M. Pisante. 2008. Agronomic and kernel quality of ancient wheats grown in central and Southern Italy. Cereal Research Communications, 36, 313-326.
[ 6 ] Zaharieva M., N. GeletaAyana, A. Al Hakimi, S.C. Misra, P. Monneveux. 2010. Cultivated emmer wheat (Triticum dicoccon Schrank), an old crop with promising future: a review. Genetic Resources Crop Evolution, 57, 937–962.
[ 7 ] Grausgruber H., B. Preinerstorfer, N. Geleta, L. Leopold, F. Eticha, W. Kandler, R. Schuhmacher, H. Bointner, S. Siebenhandl-Ehn. 2010. Hulled wheats in organic agriculture – Agronomic and nutritional considerations. In: Dzyubenko N.I. (ed) 8th International Wheat Conference, 1–4 Jun, 2010, St. Petersburg, Russia, Abstracts of oral and poster presentations, N.I. Vavilov Research Institute of Plant Industry (VIR), St. Petersburg, 41–42.
[ 8 ] Empilli S., R. Castagna, A. Brandolini. 2000. Morpho-agronomic variability of the diploid wheat Triticum monococcum L. Plant Genetic Resources Newsletter, 124, 36–40.
[ 9 ] Guzman C., L. Caballero, J.B. Alvarez. 2009. Variation in Spanish cultivated einkorn wheat (Triticum monococcum L. subsp. monococcum) as determined by morphological traits and waxy proteins. Genetic Resources Crop Evolution, 56, 601–604.
[ 10 ] Brandolini A., A. Hidalgo, S. Moscaritolo. 2008. Chemical composition and pasting properties of einkorn (Triticum monococcum L. subsp. monococcum) whole meal flour. Journal Cereal Science, 47, 599–609.
[ 11 ] Brandolini A., A. Hidalgo, P. Vaccino, L. Plizzari. 2013. Phenotypic variation of a Triticum monococcum L. core collection. EUCARPIA Genetic Resources section meeting, 11-13 June 2013, Alnarp, Sweden.
[ 12 ] Butnaru G., I. Sarac, A. Blidar, L. Holly, I. Mar. 2003. Morpho-agronomic variability of Triticum monococcum L. landraces in the Timisoara area. ISIRR, Section IV, Hunedoara, Romania, 167–172.
[ 13 ] Konvalina P., I. Capouchova´, Z. Stehno, J. Moudry´, J.Jr. Moudry. 2010. Agronomic characteristics of the spring forms of the wheat landraces (einkorn, emmer, spelt, intermediate bread wheat) grown in organic farming. Journal of Agrobiology, 27(1), 9–17.
[ 14 ] Knupffer H. 2009. Triticeae genetic resources in ex situ genebankcollections. In: Feuillet C, Muehlbauer G (eds), Genetics and Genomics of the Triticeae. Plant Genetics andGenomics: Crops and Models 7, Springer, Berlin, 31–79.
[ 15 ] Franco J., J. Crossa, J.M. Ribaut, J. Betran, M.L. Warburton, M. Khairallah. 2001. A method for combining molecular markers and phenotypic attributes for classifying plant genotypes. Theoretical and Applied Genetics, 103, 944-952.
[ 16 ] Pasandi M., M. Janmohammadi, Z. Movahedi, N. Sabaghnia. 2015. Grouping bread wheat genotypes and linesbased on some morphological traits using multivariate analysis. Cercetări Agronomiceîn MoldovaVol. XLVIII , No. 3 (163) 13-22.
[ 17 ] Saif Ullah Ajmal, Nasir Mahmood Minhas, Anber Hamdani, Ammara Shakir, Muhammad Zubairand Zaheer Ahmad. 2013. Multivariate analysis of genetic divergence in wheat (Triticum aestivum) germplasm. Pakistan Journal of Botany, 45(5): 1643-1648.
[ 18 ] Mohammadi S. A. and B. M. Prasanna. 2003. Analysis of Genetic Diversity in Crop Plants—Salient Statistical Toolsand Considerations.Crop Science, 43,1235–1248.
[ 19 ] Zaharieva M. 1993. Aegilopsspecies in Bulgaria—their ecogeography and distribution. In: Damania AB (ed) Biodiversityand wheat improvement. Wiley, Chichester, 369–374.
[ 20 ] Desheva G., S. Stoyanova, N. Neikov. 2013. National collection of genus Triticum –actually status. Plant science, 50, 3-7.
[ 21 ] Steel R.G.D., J.S. Torrie. 1980. Principles and Procedures of Statistics. A biological approach. Second Edition. McGraw Hill Book Company Inc., New York, USA.
[ 22 ] Lidansky T. 1988. Statistical methods in the biology and in the agriculture - Zemizdat, Sofia.
[ 23 ] Zubair M., S.U. Ajmal, M. Anwar and M. Haqqani. 2007. Multivariate analysis for quantitative traits in mungbean [Vigna radiate (L.) Wilczek]. Pakistan Journal of Botany, 39, 103-113.
[ 24 ] Khodadadi M., M.H. Fotokian, M. Miransari. 2011. Genetic diversity of wheat (Triticum aestivumL.) genotypes based on cluster and principal component analyses for breeding strategies. Australian Journal of Crop Science, 5, 17–24.
[ 25 ] Franco J., J. Crossa, J.M. Ribaut, J. Betran, M.L. Warburton, M. Khairallah. 2001. A method for combining molecular markers and phenotypic attributes for classifying plant genotypes. Theoretical and Applied Genetics, 103: 944-952.
[ 26 ] Habtamu Seboka and Fikreselassie Million. 2013. Multivariate analysis of some Ethiopian field pea (Pisum sativum L.) genotypes. International Journal of Genetics and Molecular Biology, 5(6), 78-87.
[ 27 ] Guzy M.R., B. Ehdaie, J.G. Waines. 1989. Yield and its components in diploids, tetraploid and hexaploid wheats in diverse environments. Annals of Botany, 64, 635–642.
[ 28 ] Yousaf A., B.M. Atta, J. Akhter, P. Monneveux, Z. Lateef. 2008. Genetic variability, association and diversity studies in wheat (Triticum aestivum L.) germplasm. Pakistan Journal of Botany, 40(5), 2087–2097.
[ 29 ] Ahmadizadeh Mostafa, Hossein Shahbazi, Mostafa Valizadeh and Mohammad Zaefizadeh. 2011. Genetic diversity of durum wheat landraces using multivariate analysis under normal irrigation and drought stress conditions. African Journal of Agricultural Research, 6(10), 2294-2302.
[ 30 ] Kalimullah S., J. Khan, M. Irfaq, H.U. Rahman. 2012. Gentetic variability, correlation and diversity studies in bread wheat (Triticum aestivum L.) germplasm. The Journal of Animal and Plant Sciences, 22(2), 330–333.
[ 31 ] Kumar N., Sh. Markar, V. Kumar. 2014. Studies on heritability and genetic advance estimates in timely sown bread wheat (Triticum aestivum L.). Bioscience Discovery, 5(1), 64–69.
[ 32 ] Taghouti M., F. Gaboun, N. Nsarellah, R. Rhrib, M. El-Haila, M. Kamar, F. Abbad-Andaloussi, S.M. Udupa. 2010. Genotype _ environment interaction for quality traits in durum wheat cultivars adapted to different environments. African Journal of Biotechnology, 9, 3054-3062.
[ 33 ] Desheva G. 2016. Effects of genotype, environment and their interaction on quality characteristics of winter bread wheat. Journal of Basic and Applied Research, 2(3), 363-372.
[ 34 ] Armin Saed-Moucheshi, Mohammad Pessarakli and Bahram Heidari. 2013. Comparing Relationships among Yield and Its Related Traits in Mycorrhizal and Nonmycorrhizal Inoculated Wheat Cultivars under Different Water Regimes Using Multivariate Statistics.International Journal of Agronomy,Volume 2013 (2013), Article ID682781, 1-14.
[ 35 ] Hannachi Abderrahmane, Fellahi Zine El Abidine, Bouzerzour Hamenna and Boutekrabt Ammar. 2013. Correlation, Path Analysis and Stepwise Regression in Durum Wheat (Triticum Durum Desf.) under Rainfed Conditions. Journal of Agriculture and Sustainability, 3, 122-131.
[ 36 ] Nasri Reza, Ali Kashani, Farzad Paknejad, SaeedV azan and Mehrshad Barary. 2014. Correlation, path analysis and stepwise regression in yield and yield component in wheat (Triticumaestivum L.) under the temperate climate of ilam province, IRAN. Indian Journal of Fundamental and Applied Life Sciences, 4 (4), 188-198.
[ 37 ] Beheshtizadeh Hajir, Abdolhamid Rezaie, Abdolmajid Rezaie, Akbar Ghandi. 2013. Principal component analysis and determination of the selection criteria in bread wheat (Triticum aestivum L.) genotypes. International Journal of Agriculture and Crop Sciences, 5 (18), 2024-2027.
[ 38 ] Tadesse W. and E. Bekele. 2001. Factor analysis of yield in grass pea (Lathyrus sativusL.) Lathyrus Lathyrism Newsletter, 2, 416-421.
[ 39 ] Golparvar A.R., M.R. Ghanadha, A.A. Zali, A. Ahmadi. 2003 . Determination of the best selection criteria for improvement of yield of bread wheat genotypes under drought stress conditions. J. Seed. Plant. 18, 144-156.
[ 40 ] Leilah A.A., S.A. Al-Khateeb. 2005. Statistical analysis of wheat yield under drought conditions. Journal of Arid Environments, 61, 483-496.
[ 41 ] Golparvar A.R., A. Ghasemi-Pirbalouti, H. Madani. 2006. Genetic control of some physiological attributes in wheat under drought stress conditions. Pakistan Journal of Biological Sciences, 9 (8), 1442-1446.
[ 42 ] Bauer I., S.M. Drinic, G. Drinic, D.I. Micic. 2007. Assessing temporal changes in genetic diversity of maize hybrids using RAPD markers. Cereal Research Communications, 35, 1563–1571.
[ 43 ] Kraic F., J. Mocak, T. Rohacik, J. Sokolovicova. 2009. Chemometric characterization and classification of new wheat genotypes. Nova Biotechnologica, 9, 101-106.
[ 44 ] Desheva G., M. Sabeva, M. Zacharieva. 2016. Variation of agronomic traits among introduced winter bread wheat cultivars. Trakia Journal of Sciences, 2, 171-175.
[ 45 ] Moetamadipoor Seyed Ali, Mohtasham Mohammadi, Gholam Reza Bakhshi Khaniki and Rahmat Allah Karimizadeh. 2015. Relationships between Traits of Wheat Using Multivariate Analysis. Biological Forum – An International Journal 7(1), 994-997.
[ 46 ] Siahbidi Mohammad Mehdi Pour, Alireza Pour Aboughadareh, Gholam Reza Tahmasebi, Manouchehr Teymoori and Maryam Jasemi. 2013. Evaluation of genetic diversity and interrelationships of agromorphological characters in durum wheat (Triticum durum Desf.) lines using multivariate analysis. International Journal of Agriculture: Research and Review, 3(1), 184-194.