Comparison of methods for selection of spring barley genotypes based on non-replicated experiments
Katarzyna Ambroży-Deręgowska
katarzyna.ambrozy-deregowska@up.poznan.plKatedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu (Poland)
Tadeusz Łuczkiewicz
Katedra Genetyki i Hodowli Roślin, Uniwersytet Przyrodniczy w Poznaniu (Poland)
Katarzyna Marczyńska
Katedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu (Poland)
Iwona Mejza
Katedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu (Poland)
Stanisław Mejza
Katedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu (Poland)
Abstract
The paper deals with the methodology of inference from non-replicated breeding experiments using standard treatments (check plots). The selection of genotypes for further breeding is one of the important problems of this methodology. In the literature, there are many proposals of genotype selection methods. It is impossible to compare analytically those methods. Hence, we propose to compare six selection methods known from a literature with the method proposed by the authors. The last method is based on the theory of response surface. We compare the rankings of genotypes obtained by the all methods on the basis of the experiment with spring barley. We can see that the rankings are completely different. In the paper we recommend the selection methods based on the response surface methodology with proper using check plots.
Supporting Agencies
Keywords:
breeding field expermients, check plots, genotypes selection, non-replicated experiments, response survey methodologyReferences
Adamska E., Kaczmarek Z., Woś H. 2012. Estimates of winter rapeseed hybrids on the basis of series unreplicated experiments with standards. Plant Breeding for Future Generations Proceedings of the 19th EUCARPIA General Congress 2012, Zoltán Bedő and László Láng (Eds), Hungary: 323.
Google Scholar
Ambroży K., Bakinowska E., Bocianowski J., Budka A., Pilarczyk W., Zawieja B. 2008 a. Statystyczne wspomaganie decyzji selekcyjnych na wczesnych etapach hodowli zbóż. Część I. Metody oceny efektów obiektowych. Biul. IHAR 250: 21 — 28.
Google Scholar
Ambroży K., Bakinowska E., Bocianowski J., Budka A., Pilarczyk W., Zawieja B. 2008 b. Statystyczne wspomaganie decyzji selekcyjnych na wczesnych etapach hodowli zbóż. Część II. Empiryczne porównanie metod oceny efektów obiektowych. Biul. IHAR 250: 29 — 39.
Google Scholar
Box G. E. P., Draper N. 2007. Response surfaces, mixtures, and ridge analyses. Second Edition, Wiley, New York.
Google Scholar
Kaczmarek Z., Adamska E., Mejza I., Wos H., Trzeciak R. 2013. Evaluation of parental forms on the basis of series of unreplicated experiments with their hybrids and standard varietes. Applied Statistics 2013, Abstracts, p. 70. (http://conferences.nib.si/AS2013/AS2013-Abstracts.pdf).
Google Scholar
Kempton R. A. 1981. Adjustment for competition between varieties in plant breeding trials. J. Agric. Sci., Camb. 98: 599 — 611.
Google Scholar
Kempton R. A., Fox P. N. 1997. Statistical methods for plant variety evaluation. Chapman & Hall.
Google Scholar
Khuri A. I. 2006. Response surface methodology and related topics. World Scientific, Singapore.
Google Scholar
Marczyńska K., Mejza S., Mikulski W. 2010. Doświadczenia jednopowtórzeniowe we wczesnych stadiach hodowlanych. Colloquium Biometricum, 40: 63 — 72.
Google Scholar
Mejza S., Marczyńska K. 2011. Check plot density in estimation of soil fertility. Proceedings: Biometric Methods and Models in Current Science and Research, D. Hampel, J. Hartmann, J. Michalek, (eds) Central Institute of Supervising and Testing in Agriculture, Brno: 167 — 172.
Google Scholar
Mejza S., Mejza I. 2013. Check plots in field breeding experiments. Biometrical Letters Vol. 50, No 2: 137 — 149.
Google Scholar
Montgomery D. C. 2005. Design and Analysis of Experiments: Response surface method and designs. New Jersey: John Wiley and Sons, Inc.
Google Scholar
Sebolai B., Pedersen J. F., Marx D. B., Boykin D. L. 2005. Effect of control plot density, control plot arrangements, and assumption of random or fixed effects on nonreplicated experiments for germplasm screening using spatial models. Crop Sci.: 1978 — 1980.
Google Scholar
Utz H. F.1997. A computer program for statistical analysis of plant breeding experiments. Version 2N. Institute of Plant Breeding, Seed Science and Population Genetics. University of Hohenheim. Germany.
Google Scholar
Woś H., Adamska E., Kaczmarek Z. 2010. Metody statystyczne dla oceny mieszańców i ich linii rodzicielskich na podstawie serii doświadczeń jednopowtórzeniowych z wzorcami. Rośliny Oleiste: 243 — 256.
Google Scholar
Authors
Katarzyna Ambroży-Deręgowskakatarzyna.ambrozy-deregowska@up.poznan.pl
Katedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu Poland
Authors
Tadeusz ŁuczkiewiczKatedra Genetyki i Hodowli Roślin, Uniwersytet Przyrodniczy w Poznaniu Poland
Authors
Katarzyna MarczyńskaKatedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu Poland
Authors
Iwona MejzaKatedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu Poland
Authors
Stanisław MejzaKatedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu Poland
Statistics
Abstract views: 69PDF downloads: 36
License
Copyright (c) 2014 Katarzyna Ambroży-Deręgowska, Tadeusz Łuczkiewicz, Katarzyna Marczyńska, Iwona Mejza, Stanisław Mejza
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)
- Tadeusz Łuczkiewicz, Jerzy Nawracała, Jan Bocianowski, Genetic analysis of quantitative traits of F1 generation of spring rape (Brassica napus L.) , Bulletin of Plant Breeding and Acclimatization Institute: No. 250 (2008): Regular issue
