A multidimensional analysis of variability in agronomic traits for different forms of lucerne (Medicago sativa ssp. media)

Małgorzata Wyrzykowska

iro@uph.edu.pl
Katedra Hodowli Roślin i Nasiennictwa, Akademia Podlaska w Siedlcach (Poland)

Czesław Stankiewicz


Katedra Hodowli Roślin i Nasiennictwa, Akademia Podlaska w Siedlcach (Poland)

Abstract

The genetic lucerne forms included in the studies were characterized by: top-inflorescence, prolonged florescence, branched inflorescence or long clusters. The forms came from the collection maintained at the Department of Genetics, IHAR Radzików. The aim of the paper was to analyze 17 forms of lucerne for seed yielding and phenotypic characters, which were typical of the seed crop. The principal component analysis was applied. In order to divide the accessions into homogeneous groups in respect of the level of 11 traits, the hierarchical cluster analysis was applied (both with the k-mean and the Euclidean distance methods). The agglomeration of the lucerne forms into two distinct phenotypic groups was revealed. The most pronounced differences between the groups were found in the following traits: seed crop, number of seeds in one shoot average number of seeds from a cluster, and average number of seeds from a pod. The statistical characteristic of the distinguished groups was done. Based on the results, an ideotype of the form yielding at a level has been defined.


Keywords:

lucerne, seed yield, principal component analysis, cluster analysis, phenotypic diversity

Baraccia G., Falcinelli M., Papa R., Pellicoro A., Tavoletti S., Veronesi F. 1997. Genomic variability estimation and agronomic evaluation of cultivated lucerne populations of central Italy. Proceedings of the 20th Meeting of EUCARPIA Fodder Crops and Amenity Grasses Section, Radzików, Poland, 7–10 October 1996: 48 — 56.
Google Scholar

Bauchan G. G., Campbell A., Hossain M. A. 2003. Comparative chromosome banding studies of nondormant alfalfa germplasm. Crop Sci. 43: 2037 — 2042. DOI: https://doi.org/10.2135/cropsci2003.2037
Google Scholar

Bena G., Prosperi J.M, Oliveri I., Lejeune B. 1998. Molecular Phylogeny of the Genus Medicago. Taxonomic and Evolutionary Implications. North American Alfalfa Improvement Conference, http:/genes.alfalfa.ksu.edu/98Reports.html.
Google Scholar

James, G., Hastie, T., Sugar, C. 2000. A principal component models for sparse functional data. Biometrika 87: 587 — 602. DOI: https://doi.org/10.1093/biomet/87.3.587
Google Scholar

Jenczewski E., Prosperi J. M., Ronfort J. 1999. Evidence for gene flow between wild and cultivated Medicago sativa (Leguminosae) based on allozyme markers and quantitative traits. Am. J. Bot. 86: 677 — 687. DOI: https://doi.org/10.2307/2656577
Google Scholar

Kesek M., Jernberg T., Lindahl B., Xue J., Englund A., 2004. Principal component analysis of the T wave in patients with chest pain and conduction disturbances. Pacing and Clinical Electrophysiology. 27: 1378 — 1387. DOI: https://doi.org/10.1111/j.1540-8159.2004.00642.x
Google Scholar

Kubicka H., Mądry W., Sieczko L., Komar A., Puchalski J. 2004. Wielowymiarowa analiza różnorodności genotypowej linii wsobnych żyta ozimego (Secale cereale L.) dla cech rolniczych i fenologicznych. Zesz. Probl. Post. Nauk Roln. 497 (2): 375 — 390.
Google Scholar

Kuriata R., Kadłubiec W., Bulińska-Radomska Z., Adamczyk J. 2004. Ocena genetycznego zróżnicowania linii wsobnych kukurydzy. Zesz. Probl. Post. Nauk Roln. 497 (2): 399 — 404.
Google Scholar

Liu L., Kakihara E., Kato M. 2004. Characterization of six varieties of Cucumis melo L. based on morphological and physiological characters, including shelf-life of fruit. Euphytica 135: 305 — 313. DOI: https://doi.org/10.1023/B:EUPH.0000013330.66819.6f
Google Scholar

Marek T. 1989. Analiza skupień w badaniach empirycznych. Metody SAHN. PWN, Warszawa: 23 — 24.
Google Scholar

Mądry W. 1993. Studia statystyczne nad wielowymiarową oceną zróżnicowania cech ilościowych w kolekcji zasobów genowych zbóż. Wyd. SGGW, Warszawa, Rozprawy Naukowe i Monografie.
Google Scholar

Morrison D. F. 1990. Wielowymiarowa analiza statystyczna. PWN, Warszawa.
Google Scholar

Noffsinger S. L., Huyghe Ch., Santen E. 2000. Analysis of grain-yield components and inflorescence levels in winter-type white lupin. Agron. J. 92: 1195 — 1202. DOI: https://doi.org/10.2134/agronj2000.9261195x
Google Scholar

Ostasiewicz W. (red.). 1999. Statystyczne metody analizy danych. Wyd. A. E. im. O. Lange, Wrocław.
Google Scholar

Pietrzykowski R. 2004. Wykorzystanie nowej wielowymiarowej metody statystycznej do badania zmienności somaklonalnej na przykładzie żyta ozimego (Secale cereale L.). Zesz. Probl. Post. Nauk Roln. 497: 495 — 502.
Google Scholar

Puzio-Idźkowska M. 1993. Odziedziczalność niektórych cech determinujących plon nasion lucerny mieszańcowej (Medicago media L.) odmiany Warmińska. Zesz. Nauk. AR we Wrocławiu, Rolnictwo LVIII, 223: 317 — 323.
Google Scholar

Rojas W., Barriga P., Figueroa H. 2000. Multivariate analysis of the genetic diversity of Bolivian quinoa germplasm. Plant Genet. Res. Newsletter 122: 1623 — 1627.
Google Scholar

Ronfort J., Jenczewski E., Bataillon T., Rousset R. 1998. Analysis of population structure in autotetraploid species. Genetics 150: 921 — 930. DOI: https://doi.org/10.1093/genetics/150.2.921
Google Scholar

Sieczko L., Mądry W., Zieliński A., Paderewski J., Urbaś-Szwed K. 2004. Zastosowanie analizy składowych głównych w badaniach nad wielocechową charakterystyką zmienności genetycznej w kolekcji zasobów genowych pszenicy twardej (Triticum durum L.). Colloqiuum Biometryczne 34: 223 — 239.
Google Scholar

Staszewski Z. 1975. Lucerny. PWRiL Warszawa: 354 s.
Google Scholar

Szczepaniak M. 2003. Krytyczne studia taksonomiczne nad Elymus repens (L.) Gold. Zastosowania metod statystycznych w badaniach naukowych. Kraków: http://www.statsoft.pl/czytelnia /badanianaukowe /d1biolmed/krytycznestudia.pdf
Google Scholar

Tyrka M., Mikulski W. 2004. Porównanie zmienności fenotypowej i genotypowej odmian i linii pszenicy zwyczajnej. Zesz. Probl. Post. Nauk Roln. 497: 613 — 620.
Google Scholar

Ukalska J., Skórniak-Pokarowska U., Masny A. 2005. Ocena zróżnicowania wielocechowego w kolekcji odmian truskawki (Fragaria  Ananassa): cechy plonu owoców i jego jakości. Colloqiuum Biometryczne 34 a: 181 — 194.
Google Scholar

Wyrzykowska M. 2004. Analiza zależności między czynnikami plonotwórczymi, plonem nasion i plonem zielonej masy u lucerny (Medicago sp. L.). Zesz. Probl. Post. Nauk Roln. 497: 627 — 635.
Google Scholar

Zeven A. C., Waninge J., Hintum T., Singh S. P. 1999. Phenotypic variation in a core collection of common bean (Phaseolus vulgaris L.) in the Netherlands. Euphytica 109: 93 — 106. DOI: https://doi.org/10.1023/A:1003665408567
Google Scholar


Published
2006-12-31

Cited by

Wyrzykowska, M. and Stankiewicz, C. (2006) “A multidimensional analysis of variability in agronomic traits for different forms of lucerne (Medicago sativa ssp. media)”, Bulletin of Plant Breeding and Acclimatization Institute, (242), pp. 243–251. doi: 10.37317/biul-2006-0023.

Authors

Małgorzata Wyrzykowska 
iro@uph.edu.pl
Katedra Hodowli Roślin i Nasiennictwa, Akademia Podlaska w Siedlcach Poland

Authors

Czesław Stankiewicz 

Katedra Hodowli Roślin i Nasiennictwa, Akademia Podlaska w Siedlcach Poland

Statistics

Abstract views: 10
PDF downloads: 2


License

Copyright (c) 2006 Małgorzata Wyrzykowska, Czesław Stankiewicz

Creative Commons License

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:

  1. Production and reproduction of copies of the article using a specific technique, including printing and digital technology.
  2. Placing on the market, lending or renting the original or copies of the article.
  3. 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.
  4. Including the article in a collective work.
  5. Uploading an article in electronic form to electronic platforms or otherwise introducing an article in electronic form to the Internet or other network.
  6. Dissemination of the article in electronic form on the Internet or other network, in collective work as well as independently.
  7. 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:

  1. They consent to the publication of the article in the journal,
  2. They agree to give the publication a DOI (Digital Object Identifier),
  3. 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),
  4. They consent to the articles being made available in electronic form under the CC BY-SA 4.0 license, in open access,
  5. They agree to send article metadata to commercial and non-commercial journal indexing databases.