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
Abstract views: 356PDF downloads: 17
License
Copyright (c) 2009 Marcin Studnicki, Wiesław Mądry, Tadeusz Śmiałowski
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Upon submitting the article, the Authors grant the Publisher a non-exclusive and free license to use the article for an indefinite period of time throughout the world in the following fields of use:
- Production and reproduction of copies of the article using a specific technique, including printing and digital technology.
- Placing on the market, lending or renting the original or copies of the article.
- Public performance, exhibition, display, reproduction, broadcasting and re-broadcasting, as well as making the article publicly available in such a way that everyone can access it at a place and time of their choice.
- Including the article in a collective work.
- Uploading an article in electronic form to electronic platforms or otherwise introducing an article in electronic form to the Internet or other network.
- Dissemination of the article in electronic form on the Internet or other network, in collective work as well as independently.
- Making the article available in an electronic version in such a way that everyone can access it at a place and time of their choice, in particular via the Internet.
Authors by sending a request for publication:
- They consent to the publication of the article in the journal,
- They agree to give the publication a DOI (Digital Object Identifier),
- They undertake to comply with the publishing house's code of ethics in accordance with the guidelines of the Committee on Publication Ethics (COPE), (http://ihar.edu.pl/biblioteka_i_wydawnictwa.php),
- They consent to the articles being made available in electronic form under the CC BY-SA 4.0 license, in open access,
- They agree to send article metadata to commercial and non-commercial journal indexing databases.
Most read articles by the same author(s)
- Krystyna Witkowska, Tadeusz Śmiałowski, Edward Witkowski, Dependence of yield of winter wheat strains on the degree of infection by Stagonospora nodorum and Puccinia triticina in different conditions of field experiments , Bulletin of Plant Breeding and Acclimatization Institute: No. 262 (2011): Regular issue
- Edward Witkowski, Krystyna Witkowska, Urszula Woźna-Pawlak, Krzysztof Rubrycki, Przemysław Matysik, Maria Bogacka, Helena Bielerzewska, Marcin Konieczny, Małgorzata Łagodzka-Gola, Tadeusz Drzazga, Tadeusz Śmiałowski, Usefulness of frost resistance assessments for prediction of winter hardiness of winter wheat cultivars , Bulletin of Plant Breeding and Acclimatization Institute: No. 268 (2013): Regular issue
- Marcin Studnicki, Wiesław Mądry, Jan Schmidt, Multivariate analysis of genotypic diversity of agronomic traits in orchardgrass (Dactylis glomerata L.) germplasm collection , Bulletin of Plant Breeding and Acclimatization Institute: No. 263 (2012): Regular issue
- Krystyna Witkowska, Edward Witkowski, Tadeusz Śmiałowski, Jacek Waga, Relationship between wheat storage proteins and winter hardiness in chosen hybrids of winter wheat , Bulletin of Plant Breeding and Acclimatization Institute: No. 268 (2013): Regular issue
- Tadeusz Drzazga, Marcin Studnicki, Evaluation of adaptability to environments of varieties in multiple annual trials: a case study of winter wheat , Bulletin of Plant Breeding and Acclimatization Institute: No. 275 (2015): Regular issue
- Wiesław Mądry, Marzena Iwańska, Usefulness of statistical methods and measures for evaluating cultivar stability and adaptation: an overview of research , Bulletin of Plant Breeding and Acclimatization Institute: No. 260/261 (2011): Regular issue
- Jakub Paderewski, Wiesław Mądry, Use of AMMI model in the analysis of cultivar responses to environments , Bulletin of Plant Breeding and Acclimatization Institute: No. 263 (2012): Regular issue
- Tadeusz Śmiałowski, Maria Stachowicz, Multivariate analysis of the variability of traits determining technological quality of grains in strains and varieties of winter wheat assessed in pre-registration trials , Bulletin of Plant Breeding and Acclimatization Institute: No. 253 (2009): Regular issue
- Adriana Derejko, Wiesław Mądry, Overview of applications of statistical methods in the analysis of data from a series of experiments , Bulletin of Plant Breeding and Acclimatization Institute: No. 273 (2014): Regular issue
- Wiesław Mądry, Marzena Iwańska, Quantitative measures of the cultivar wide adaptation degree and their using in preliminary yield trials for winter wheat , Bulletin of Plant Breeding and Acclimatization Institute: No. 260/261 (2011): Regular issue
