Multivariate analysis of the variability of traits determining technological quality of grains in strains and varieties of winter wheat assessed in pre-registration trials
Tadeusz Śmiałowski
zhsmialo@cyf-kr.edu.plZakład Roślin Zbożowych w Krakowie, Instytut Hodowli i Aklimatyzacji Roślin (Poland)
Maria Stachowicz
Zakład Roślin Zbożowych w Krakowie, Instytut Hodowli i Aklimatyzacji Roślin (Poland)
Abstract
The aim of the work was to distinguish from among 13 traits of grain technological quality one trait or a group of traits exhibiting high discriminatory power to evaluate 102 winter wheat experimental objects, followed by grouping the objects characterized by similar technological quality. Two multivariate methods: factor analysis and cluster analysis were applied. The factor analysis showed that three traits: sedimentation value, falling number and protein content explained altogether 71% of the variability of technological quality coefficients. The cluster analysis allowed to separate four clusters of experimental objects. Group 1 included 47 winter wheat forms showing a great similarity in six qualitative traits, indicating a strong selective pressure towards the qualitative breeding.
Keywords:
cluster analysis, multivariate analysis, technological traits, winter wheatReferences
Akkaya M. S., Buyukunal-Bal E. B. 2004. Assessment of genetic variation of bread wheat varieties using microsatellite markers. Euphytica 135: 179–185.
Google Scholar
Almanza-Pinzon M. I., Khairallah M., Fox P.N., Warburton M. L. 2003. Comparison of molecular markers and coefficients of parentage for the analysis of genetic diversity among spring bread wheat accessions. Euphytica 130: 77 — 86.
Google Scholar
Anderberg M. R. 1973. Cluster Analysis for Applications. New York: Academic Press, Inc.
Google Scholar
Anderson R., Hamalainen M., Aman P. 1994. Predictive modeling of bread–making performance and dough properties of Wheat. J. Cereals Sci. 20: 129 — 138.
Google Scholar
Badea A., Eudes F., Graf R. J., Laroche A. , Gaudet D. A., Sadasivaiah R. S. (2008). Phenotypic and marker-assisted evaluation of spring and winter wheat germplasm for resistance to fusarium head blight. Euphytica 164: 803 — 819
Google Scholar
Banaszak Z. Majchrzycki D. 2006. Pszenica jakościowa- od hodowcy do młynarza. Przegląd Zbożowo- Młynarski: 17 — 19.
Google Scholar
Bichoński A. 1995. Ocena wybranych cech technologicznych z kolekcji pszenicy ozimej. Biul. IHAR. 194. 131 — 138.
Google Scholar
Blashfield R. K., Aldenderfer M. S. 1978. The Literature on Cluster Analysis. Multivariate Behavioral Research. 13: 271 — 295.
Google Scholar
Branlard G., Dardevet, M. Saccomano R., Lagoutte F., Gourdon J. 2001. Genetic diversity of wheat storage proteins and bread wheat quality Euphytica 119: 59 — 67.
Google Scholar
Caliński T., Harabasz J. 1974. A dendrite method for cluster analysis. Comm. Stat. 3: 1 — 27.
Google Scholar
Ceglińska A., Cacak Pietrzak. G., Haber T. 2003. Współzależność pomiędzy cechami jakościowymi rodów pszenicy ozimej. Biul. IHAR 230: 65 — 70.
Google Scholar
Corbellini M., Perenzin M., Accerbi M., Vaccino P., Borghi B. 2002. Genetic diversity in bread wheat, as revealed by coefficient of parentage and molecular markers, and its relationship to hybrid performance. Euphytica 123: 273 — 285.
Google Scholar
Crossa J., Franco J. 2004. Statistical method for classifying genotypes. Euphytica 137: 19 — 37.
Google Scholar
Cygankiewicz A. 1997. Wartość technologiczna ziarna materiałów hodowlanych pszenicy ozimej i jarej na tle badań własnych i światowych. Biul. IHAR 204: 219 — 238.
Google Scholar
Everitt B. S. 1984. An Introduction to Latent Variable Methods. London: Chapman & Hall.
Google Scholar
Fufa H., Baenziger P.S. , Beecher B.S., Dweikat I., Graybosch R.A., Eskridge K. M. 2005. Comparison of phenotypic and molecular marker-based classifications of hard red winter wheat cultivars Euphytica 145: 133 — 146.
Google Scholar
Graybosch R., Paterson C. J., Moore K. J., Steams M., Grant D. J. 1993. Comparative effects of wheat flour protein, lipid and pentosan composition in relation to baking and milling quality. Cereal Chem. 70: 95 — 101.
Google Scholar
Gregorczyk A., Smagacz J., Hury G., Ułasik S. 2008. Zastosowanie metod wielowymiarowych do oceny współzależności cech użytkowych ziarna i mąki wybranych odmian pszenicy ozimej. Coll. Biom. 38: 23 — 31.
Google Scholar
Harman, H. H. 1976. Modern Factor Analysis, Third Edition, Chicago: University of Chicago Press.
Google Scholar
Kolliker R., Boller B., Widmer F. 2005. Marker assisted poliycross breeding to increase diversity and yield in perennial ryegrass (Lolium perenne L.) Euphytica 146: 55 — 65.
Google Scholar
Jackson, J. E. 1980. Principal Components and Factor Analysis: Part I – Principal. Components, Journal of Quality Technology, 12, 201 — 213.
Google Scholar
Johansson E. 2002. Effect of two wheat genotypes and Swedish environment on falling number, amylase activities, and protein concentration and composition. Euphytica 126: 143 — 149.
Google Scholar
Lawley, D. N. and Maxwell, A.E. 1971. Factor Analysis as a Statistical Method. New York: American Elsevier Publishing Company.
Google Scholar
Liu J., Liu L., Hou N., Zhang A., Liu C. 2007. Genetic diversity of wheat gene pool of recurrent selection assessed by microsatellite markers and morphological traits. Euphytica 155: 249 — 258.
Google Scholar
Liu J., He Z., Zhao Z, Pena R., Rajaram S. 2003. Wheat quality traits and quality parameters of cooked dry white Chinese Noodles. Euphytica 131: 147 — 154.
Google Scholar
Mądry W. 1997. Studia statystyczne nad wielowymiarową oceną zróżnicowania cech ilości w kolekcjach zasobów genowych zbóż. Wydawnictwo SGGW: Rozprawy Naukowe i Monografie, Warszawa.
Google Scholar
Pecina M., Gunjaca J. 2000. Multivariate distance and classification of witer wheat breeding program. 22 Int. Conf. Information Technology Interphaces ITI 2000. Pula, Croatia: 232 — 328.
Google Scholar
Santos T. M., Gananca F., Slaski J., Miguel A., Pinheiro de Carvalho A. 2009. Morphological characterization of wheat genetic resources from the Island of Madeira, Portugal. Genet Resour Crop. Vol. 56: 363–375.
Google Scholar
SAS Institute Inc. 2004. SAS/STAT 9.1 users guide. Cary, NC, USA: SAS Publishing. SAS Institute Inc.
Google Scholar
Sarle W. S. 1983, The Cubic Clustering Criterion. SAS Technical Report A-108, Cary, NC: SAS Institute Inc.
Google Scholar
Spath H. 1980. Cluster Analysis Algorithms, Chichester, England: Ellis Horwood.
Google Scholar
Sieczko L. 2003. Kryterium wstępnego przecięcia dendrogramu w hierarchicznej analizie skupień. Coll. Biom. 23: 249 — 258.
Google Scholar
Sieczko L., Mądry W., Zieliński A. 2006. Zastosowanie analizy składowych w badaniach nad wielocechową charakterystyką zmienności genetycznej w kolekcjach zasobów genowych pszenicy twardej (Triticum durum L.) Coll. Biom. 34. 223 — 239.
Google Scholar
Sorrels M.E. 2007. Application of new knowledge, technologies, and strategies to wheat improvement. Euphytica 157: 299 — 306.
Google Scholar
Śmiałowski T. 2004. Ocena rodów pszenicy ozimej z polskiej hodowli w doświadczeniach przed rejestrowych w roku 2004. Biul. IHAR 235: 13 — 22.
Google Scholar
Śmiałowski T., Stachowicz M. 2007. Ocena wartości technologicznej nowych polskich rodów i odmian pszenicy ozimej z doświadczeń wstępnych w latach 2005–2006. Biul. IHAR: 57 — 66.
Google Scholar
Śmiałowski T., Stachowicz M. 2008. Wykorzystanie analizy ścieżek do oceny współzależności pomiędzy cechami technologicznymi pszenicy ozimej. Coll. Biom. 38: 79 — 87.
Google Scholar
Ward J. H. 1963. Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association 58: 236 — 244.
Google Scholar
Wolfe, J. H. 1970. Pattern Cluster by Multivariate Mixture Analysis. Multivariate Behavioral Research 5: 329 — 350.
Google Scholar
Wikstrom K., Bohlin L. 1996. Multivariate analysis as a tool to predict bread volume from mixograph parameters. Cereal Chem. 73 (6): 686 — 690.
Google Scholar
Zhang Y., Zhang Y., He Z., Ye G. 2005. Milling quality and protein properties of autumn-sown Chinese wheat evaluated through multi-location trials. Euphytica 143: 209 — 222.
Google Scholar
Authors
Tadeusz Śmiałowskizhsmialo@cyf-kr.edu.pl
Zakład Roślin Zbożowych w Krakowie, Instytut Hodowli i Aklimatyzacji Roślin Poland
Authors
Maria StachowiczZakład Roślin Zbożowych w Krakowie, Instytut Hodowli i Aklimatyzacji Roślin Poland
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