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Cluster Analysis in Common Bean Genotypes (Phaseolus vulgaris L.)

Year 2014, Volume: 1 Issue: Özel Sayı-1, 1030 - 1035, 01.03.2014

Abstract

Tarla şartlarında yapılan fenotipik gözlemler, bitki ıslahı programlarında önemlidir. Hiyerarşik cluster analizi, farklı genotiplerin değerlendirilmesinde faydalı bir araçtır. Bu çalışmada, Türkiye’de yaygın olarak yetiştirilen kuru fasulye genotiplerinin fenotipik değerlendirmesine dayanarak cluster analizi yapılmıştır. Araştırmada kullanılan 35 farklı ümitvar kuru fasulye genotipinin tarla şartlarındaki performanslarına bağlı olarak yapılan cluster analizi neticesinde3 ana grup ortaya çıkmıştır. Hesaplanan mesafe 0.99 ile 9.05 değerleri arasında değişim göstermiştir. Araştırmada, genotiplerin benzerlik matrikslerine dayanan bir dendrogram oluşturulmuştur. Sonuç olarak, cluster analizinin ıslahçılar için ümitvar genotiplerin seleksiyonunda bilgi vermesi bakımından kullanışlı olduğu söylenebilir

References

  • Anonymous, 2006. Summary of agricultural statistics, Government Statistics Institute Publish, No:12, Ankara, 22-23. Anonymous, 2009. http://www.who.int/research/en/
  • Anonymous, 2011. www.tuik.gov.tr
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  • Bruns, R. E. and Faigle, J. F. G. (1995). Quimiometria. Quı´mica Nova, 8, 84.
  • Bull, J.K., Cooper, M., Delacy, I.H., Basford, K.E. and Woodrufl, D.R., 1992. Utility of repeated checks for hierarchical classification of data from plant breeding trials. Field Crops Research, 30 (1992) 79-95.
  • Byth, D.E., Eisemann, R.L. and DeLacy, I.H., 1976. Two-way pattern analysis of a large data set to evaluate genotypic adaptation. Heredity, 37:215-230.
  • Ceyhan, E., Kahraman, A., Ates, M.K. and Karadas, S., 2012. Stability analysis on seed yield and its components in peas. Bulgarian Journal of Agricultural Science, 18 (6): 905-911.
  • DeLacy, I.H., 1981. Analysis and interpretation of pattern of response in regional variety trials. In: D.E. Byth and V.E. Mungomery (Editors), Interpretation of Plant Response and Adaptation to Agricultural Environments. Aust. Inst. Agric. Sci. (Queensland Branch), Brisbane, pp. 27-50.
  • DeLacy, I.H., 1989. Analysis and interpretation of pattern of response of agricultural adaptation experiments. In: I.H. DeLacy (Editor), Analysis of Data from Agricultural Adaptation Experiments. ACNARP, Bangkok, pp. 50-70.
  • Finlay, K.W. and Wilkinson, G.N., 1963. The analysis of adaptation programme. Aust. J. Agric. Res., 14: 742- 754. plant-breeding
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  • Ghaderi, A., Adams, M.W. and Saettler, A.W., 1982. Environmental commercial classes of common bean (Phaseolus vulgaris L. ). Theor. Appl. Genet., 63:17-22. patterns in
  • Hayward, M.D., DeLacy, I.H., Tyler, B.F. and Drake, D.W., 1982. The application of pattern analysis for the recognition of adaptation in a populations. Euphytica, 31: 383-396.383- 396. multiflorum
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  • Ivory, D.A., Kaewmeechai, S., DeLacy, I.H. and Basford, K.E., 1991. Analysis of the environmental component of genotype × environment interaction in crop adaptation evaluation. Field Crops Research, 28: 71-84.
  • Kahraman, A. and M. Önder, 2009a. Konya Yetiştirilen Bölgesinde (Phaseolus Vulgaris L.) Genotiplerinde Verim Belirlenmesi. Türkiye VIII. Tarla Bitkileri Kongresi, Cilt 1, s. 309-313 (Sözlü Sunum). 19 – 22 Ekim, Hatay, 2009. Kuru Fasulye Ve Bazı Verim Öğelerinin
  • Kahraman, A. and M. Önder, 2009b. Genetic diversity in the dwarf dry bean (Phaseolus vulgaris L.) populations grown in Konya. Science and Technology pp. 13-19 (Oral Presentation). International Symposium on Sustainable Development, 9-10 June 2009. Sarajevo.
  • Kahraman, A., M. Önder and E. Ceyhan, 2012. The Importance Biodiversity in Turkey. International Journal of Bioinformatics, 2(2), 95-99. http://www.ijbbb.org/papers/79-B125.pdf. link: url
  • Kahraman, A., Onder, M., Ceyhan, E., 2013. Cluster analysis in common bean genotypes (Phaseolus vulgaris L.). Book of Abstracts . First Legume Society Conference 2013: A Legume Odyssey . Novi Sad, Serbia, 9-11 May 2013, pp: 88.
  • Köksal, E.S., 2011. Hyperspectral reflectance data processing through cluster and principal component analysis for estimating irrigation and yield related indicators. Agricultural Water Management 98: 1317–1328.
  • Li, T., Dai, L., Li, L., Hu, X., Dong, L., Li, J., Salim, S.K., Fu, J., and Zhong, H., 2011. Typing of unknown quantitative analysis of fatty acids by mass spectrometry and hierarchical clustering. Analytica Chimica Acta 684: 8–16. on
  • Moita Neto, J. M. and Moita, G. C., 1998. Uma introduçao a analise exploratoria de dados multivariados. Quımica Nova, 21, 467–469.
  • Mungomery, V.E., Shorter, R. and Byth, D.E., 1974. Genotype × environment interactions and environmental analysis-application populations. Aust. J. Agric. Res., 25: 59-72. soya bean
  • Önder, M., Ateş, M. K., Kahraman, A. ve Ceyhan, E., 2012. The problems and suggestions to dry bean farming in Konya Region. TABAD (Research Journal of Agricultural Sciences, 5 (1): 143-148.
  • Piaisted, R.L. and Peterson, L.C., 1959. A technique for evaluating the ability of selections to yield consistency in different locations or seasons. Am. Potato J., 36:381-385.
  • Wery, J., Grinac, P., 1983. Use of Legunes an Their Importance. Economic Handbook on Symbiotic Nitrogen Fixation. FAO, Rome, Italy. In: Technical

Cluster Analysis in Common Bean Genotypes (Phaseolus vulgaris L.)

Year 2014, Volume: 1 Issue: Özel Sayı-1, 1030 - 1035, 01.03.2014

Abstract

Phenotypic observations in the real farm conditions have importance for the plant breeding programs. Hierarchical cluster analysis is a useful guide to evaluation of different genotypes. In the present study, the common bean genotypes that are widely grown in Turkey were subjected to cluster analysis according to their phenotypic evaluations. Cluster analysis for the field performance of 35 promising common bean genotypes showed 3 main groups. Distance was ranged from 0.99 to 9.05 values. A dendrogram obtained which was based on the matrix of relationship between the genotypes. It can be concluded that cluster analyze can be useful to give information about selection of the promising genotypes for breeders

References

  • Anonymous, 2006. Summary of agricultural statistics, Government Statistics Institute Publish, No:12, Ankara, 22-23. Anonymous, 2009. http://www.who.int/research/en/
  • Anonymous, 2011. www.tuik.gov.tr
  • Anonymous, 2013. www.fao.org.
  • Bruns, R. E. and Faigle, J. F. G. (1995). Quimiometria. Quı´mica Nova, 8, 84.
  • Bull, J.K., Cooper, M., Delacy, I.H., Basford, K.E. and Woodrufl, D.R., 1992. Utility of repeated checks for hierarchical classification of data from plant breeding trials. Field Crops Research, 30 (1992) 79-95.
  • Byth, D.E., Eisemann, R.L. and DeLacy, I.H., 1976. Two-way pattern analysis of a large data set to evaluate genotypic adaptation. Heredity, 37:215-230.
  • Ceyhan, E., Kahraman, A., Ates, M.K. and Karadas, S., 2012. Stability analysis on seed yield and its components in peas. Bulgarian Journal of Agricultural Science, 18 (6): 905-911.
  • DeLacy, I.H., 1981. Analysis and interpretation of pattern of response in regional variety trials. In: D.E. Byth and V.E. Mungomery (Editors), Interpretation of Plant Response and Adaptation to Agricultural Environments. Aust. Inst. Agric. Sci. (Queensland Branch), Brisbane, pp. 27-50.
  • DeLacy, I.H., 1989. Analysis and interpretation of pattern of response of agricultural adaptation experiments. In: I.H. DeLacy (Editor), Analysis of Data from Agricultural Adaptation Experiments. ACNARP, Bangkok, pp. 50-70.
  • Finlay, K.W. and Wilkinson, G.N., 1963. The analysis of adaptation programme. Aust. J. Agric. Res., 14: 742- 754. plant-breeding
  • Forina, M., & Lanteri, S. (1984). Data analysis in food chemistry. In B. R. Kowalski (Ed.), Chemometrics, mathemathics and statistics in chemistry (pp. 305–349). D. Reidel Publishing company.
  • Ghaderi, A., Adams, M.W. and Saettler, A.W., 1982. Environmental commercial classes of common bean (Phaseolus vulgaris L. ). Theor. Appl. Genet., 63:17-22. patterns in
  • Hayward, M.D., DeLacy, I.H., Tyler, B.F. and Drake, D.W., 1982. The application of pattern analysis for the recognition of adaptation in a populations. Euphytica, 31: 383-396.383- 396. multiflorum
  • Horner, T.W. and Frey, K.J., 1957. Methods for determining natural aree:s for oat varietal recommendations. Agron. J., 49:313-315.
  • Ivory, D.A., Kaewmeechai, S., DeLacy, I.H. and Basford, K.E., 1991. Analysis of the environmental component of genotype × environment interaction in crop adaptation evaluation. Field Crops Research, 28: 71-84.
  • Kahraman, A. and M. Önder, 2009a. Konya Yetiştirilen Bölgesinde (Phaseolus Vulgaris L.) Genotiplerinde Verim Belirlenmesi. Türkiye VIII. Tarla Bitkileri Kongresi, Cilt 1, s. 309-313 (Sözlü Sunum). 19 – 22 Ekim, Hatay, 2009. Kuru Fasulye Ve Bazı Verim Öğelerinin
  • Kahraman, A. and M. Önder, 2009b. Genetic diversity in the dwarf dry bean (Phaseolus vulgaris L.) populations grown in Konya. Science and Technology pp. 13-19 (Oral Presentation). International Symposium on Sustainable Development, 9-10 June 2009. Sarajevo.
  • Kahraman, A., M. Önder and E. Ceyhan, 2012. The Importance Biodiversity in Turkey. International Journal of Bioinformatics, 2(2), 95-99. http://www.ijbbb.org/papers/79-B125.pdf. link: url
  • Kahraman, A., Onder, M., Ceyhan, E., 2013. Cluster analysis in common bean genotypes (Phaseolus vulgaris L.). Book of Abstracts . First Legume Society Conference 2013: A Legume Odyssey . Novi Sad, Serbia, 9-11 May 2013, pp: 88.
  • Köksal, E.S., 2011. Hyperspectral reflectance data processing through cluster and principal component analysis for estimating irrigation and yield related indicators. Agricultural Water Management 98: 1317–1328.
  • Li, T., Dai, L., Li, L., Hu, X., Dong, L., Li, J., Salim, S.K., Fu, J., and Zhong, H., 2011. Typing of unknown quantitative analysis of fatty acids by mass spectrometry and hierarchical clustering. Analytica Chimica Acta 684: 8–16. on
  • Moita Neto, J. M. and Moita, G. C., 1998. Uma introduçao a analise exploratoria de dados multivariados. Quımica Nova, 21, 467–469.
  • Mungomery, V.E., Shorter, R. and Byth, D.E., 1974. Genotype × environment interactions and environmental analysis-application populations. Aust. J. Agric. Res., 25: 59-72. soya bean
  • Önder, M., Ateş, M. K., Kahraman, A. ve Ceyhan, E., 2012. The problems and suggestions to dry bean farming in Konya Region. TABAD (Research Journal of Agricultural Sciences, 5 (1): 143-148.
  • Piaisted, R.L. and Peterson, L.C., 1959. A technique for evaluating the ability of selections to yield consistency in different locations or seasons. Am. Potato J., 36:381-385.
  • Wery, J., Grinac, P., 1983. Use of Legunes an Their Importance. Economic Handbook on Symbiotic Nitrogen Fixation. FAO, Rome, Italy. In: Technical
There are 26 citations in total.

Details

Primary Language Turkish
Journal Section Research Articles
Authors

Ali Kahraman This is me

Mustafa Onder This is me

Ercan Ceyhan This is me

Publication Date March 1, 2014
Submission Date January 26, 2015
Published in Issue Year 2014 Volume: 1 Issue: Özel Sayı-1

Cite

APA Kahraman, A., Onder, M., & Ceyhan, E. (2014). Cluster Analysis in Common Bean Genotypes (Phaseolus vulgaris L.). Turkish Journal of Agricultural and Natural Sciences, 1(Özel Sayı-1), 1030-1035.