Multivariate analysis of phenotypic diversity in Polish spring wheat collection
Marcin Studnicki
marcin_studnicki@sggw.edu.plKatedra Doświadczalnictwa i Bioinformatyki, SGGW w Warszawie (Poland)
Wiesław Mądry
Katedra Doświadczalnictwa i Bioinformatyki, SGGW w Warszawie (Poland)
Tadeusz Śmiałowski
Instytut Hodowli i Aklimatyzacji Roślin, Zakład Roślin Zbożowych w Krakowie (Poland)
Abstract
The success of crop improvement programs depends among others on the knowledge of both phenotypic and genetic diversity within the maintained plant genetic resources and from the degree of their utilization. The use of multivariate statistical methods is an important strategy for assessment of within- collection diversity, classification and typology of accessions. The purpose of the paper was to evaluate phenotypic diversity for selected quantitative agronomic traits in a spring wheat collection (so-called “working” collection) maintained by the Department Unit of Cereal Breeding and Quality Evaluation of the Plant Breeding and Acclimatization Institute in Kraków. A field trial including 149 accessions (released cultivars and advanced breeding lines) was conducted across three seasons (1996–1999) in Kończewice, Kujawy-Pomerania province. In each year 12 agronomic quantitative traits were evaluated. The data were put into incomplete two-way accession × year classification for each trait. Two complementary multivariate methods including cluster analysis and principal component analysis were used. The first four principal components captured 67% of the total multivariate variability among the accessions. The first principal component accounted for 24% of the total variability and it was mostly correlated with grain yield and weight of grain per ear as the traits with the largest contribution to the multivariate variability among the accessions. The accessions were grouped into nine clusters based on Ward’s clustering method. The clusters (groups) were then characterized with regard to all the studied traits, and multivariate similarities among the groups were described using the biplot in principal component analysis.
Keywords:
BLUP, agronomic traits, cluster analysis, genetic resources, phenotypic diversity, principal component analysis, spring wheatReferences
Assefa K., Tefera H., Merker A., Kefyalew T., Hundera F. 2001. Quantitative trait diversity in tef (Eragrostis tef (Zucc.) Trotter) germplasm from Central and Northern Ethiopia. Genetic Resources and Crop Evolution 48: 53 — 61.
Google Scholar
Bennett S. J. 2000. Genetic variation of five species of Trifolium L. from south-west Turkey. Genetic Resources and Crop Evolution 47: 81 — 91.
Google Scholar
Brown-Guedira G. L., Thompson J. A., Nelson R. L., Warburton M. L. 2000. Evaluation of genetic diversity of soybean introductions and North American Ancestors using RAPD and SSR markers. Crop Sci. 40: 815 — 823.
Google Scholar
Casler M. D., van Santen E. 2000. Patterns of variation in a collection of meadow fescue accessions. Crop Sci. 40: 248 — 255.
Google Scholar
Crossa J., Franco J. 2004. Statistical methods for classifying genotypes. Euphytica 153: 19 — 37.
Google Scholar
Damania A. D. 2008. History, achievements, and current status of genetic resources conservation. Agron. J. 100: 9 — 21.
Google Scholar
DeLacy J.H., Skovmand B., Huerta J. 2000. Characterization of Mexican wheat landraces using agronomically useful attributes. Genetic Resources and Crop Evolution 47:591 — 602.
Google Scholar
Hailu F., Merker A., Harjit-Singh., Belay G., Johansson E. (2006) Multivariate analysis of diversity of tetraploid wheat germplasm from Ethiopia. Genetic Resources and Crop Evolution 53: 1089 — 1098
Google Scholar
Hartung K., Piepho H. P. 2005. A threshold model for multiyear genebank data based on different rating scales. Crop Sci. 45: 1045 — 1051.
Google Scholar
Hartung K., Piepho H. P., Knupffer H. 2006. Analysis of genebank evaluation data by using geostatistical methods. Genetic Resources and Crop Evolution 53: 737 — 751.
Google Scholar
Jahufer M. Z. Z., Cooper M., Harch B. D. 1997. Pattern analysis of the diversity of morphological plant attributes and herbage yield in a world collection of white clover (Trifolium repens L.) germplasm characterised in a summer moisture stress environment of Australia. Genetic resources and crop evolution 44: 289 — 300.
Google Scholar
Johnson R. A., Wichern D. W. 2002. Applied multivariate statistical analysis. Prentice – Hall, Inc. Upper Saddle River, NJ.
Google Scholar
Kubicka H., Mądry W., Sieczko L., Komar L., Puchalski J. 2004. Wielowymiarowa analiza różnorodności genotypowej linii wsobnych żyta ozimego (Secale cereale L.) dla cech rolniczych i fenologicznych. Zesz. Probl. Post. Nauk Rol. Seria A 497: 375 — 389.
Google Scholar
Littell R. C., Milligan G.A., Stroup W. W., Wolfinger R.D., Schabenberger O. 2006. SAS for mixed models. SAS Institute Inc. Cary, NC.
Google Scholar
Manjunatha T., Bisht I. S., Bhat K. V., Singh B. P. 2007. Genetic diversity in barley (Hordeum vulgare L. ssp. vulgare) landraces from Uttaranchal Himalaya of India. Genetic resources and crop evolution 54: 55 — 65.
Google Scholar
Mapes C., Caballero J., Espitia E., Bye R.A. (1996) Morphophysiological variation in some Mexican species of vegetable Amaranthus: evolutionary tendencies under domestication. Genetic resources and crop evolution 43: 283 — 290.
Google Scholar
Martinez-Calvo J., Gisbert A. D., Carmen Alamar M., Hernandorena R., Romeo C. 2007. Study of a germplasm collection of loquat (Eriobotrya japonica Lindl.) by multivariate analysis. Genetic Resources and Crop Evolution 55: 695 — 703.
Google Scholar
Mazurkiewicz B., Struś M. (1997) Kolekcje robocze pszenicy ozimej jako czynnik postępu hodowlanego. Biuletyn IHAR 204: 81 — 87.
Google Scholar
Mądry W. 2007. Metody statystyczne do oceny różnorodności fenotypowej dla cech ilościowych w kolekcjach roślinnych zasobów genowych. Zesz. Probl. Post. Nauk Rol. 517:21 — 41.
Google Scholar
Mohammadi S. A., Prasanna B. M. 2003. Analysis of genetic diversity in crop plants — salient statistical tools and considerations. Crop Sci. 43: 1235 — 1248.
Google Scholar
Okpul T., Singh D., Gunua T., Wagih M. E. 2004. Assessment of diversity using agro-morphological traits for selecting a core sample of Papua New Guinea taro (Colocasia esculenta (L.) Schott) collection. Genetic Resources and Crop Evolution 51: 671 — 678.
Google Scholar
Piepho H. P., Mohring J. 2005. Best Linear Unbiased Prediction of cultivar effects for subdivided target regions. Crop Sci. 45:1151 — 1159.
Google Scholar
Robinson G. K. 1991. That BLUP is a good thing: the estimation of random effects Statistical Science 6:15 — 51.
Google Scholar
Ruiz M., Ravela F., Carrillo J. M. 1997. Analysis of the discriminating power of agro-morphological and biochemical descriptors in a sample of the Spanish collection of barley (Hordeum vulgare L.). Genetic Resources and Crop Evolution 44: 247 — 255.
Google Scholar
SAS Institute Inc. (2004) SAS OnlineDoc® 9.1.3. Cary, NC.
Google Scholar
Sorrells M. E. 2007. Application of new knowledge, technologies, and strategies to wheat improvement. Euphytica 157: 299 — 306.
Google Scholar
Upadhyaya H. D., Ortiz R., Bramel P. J., Singh S. 2003. Development of a groundnut core collection using taxonomical, geographical and morphological descriptors. Genetic Resources and Crop Evolution 50:139 — 148.
Google Scholar
Žáková M., Benková M. 2006. Characterization of spring barley accessions based on multivariate analysis. Commun. Biometry Crop Sci. 1 (2): 124 — 134.
Google Scholar
Authors
Marcin Studnickimarcin_studnicki@sggw.edu.pl
Katedra Doświadczalnictwa i Bioinformatyki, SGGW w Warszawie Poland
Authors
Wiesław MądryKatedra Doświadczalnictwa i Bioinformatyki, SGGW w Warszawie Poland
Authors
Tadeusz ŚmiałowskiInstytut Hodowli i Aklimatyzacji Roślin, Zakład Roślin Zbożowych w Krakowie Poland
Statistics
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Copyright (c) 2009 Marcin Studnicki, Wiesław Mądry, Tadeusz Śmiałowski
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