Comparison of some indices for evaluating wide adaptation degree of cultivars on the basis of data from pre-registration trials with winter wheat
Marzena Iwańska
marzena_iwanska@sggw.edu.plKatedra Doświadczalnictwa i Bioinformatyki SGGW w Warszawie (Poland)
Wiesław Mądry
Katedra Doświadczalnictwa i Bioinformatyki SGGW w Warszawie (Poland)
Anna Rajfura
Katedra Doświadczalnictwa i Bioinformatyki SGGW w Warszawie (Poland)
Tadeusz Drzazga
Hodowla Roślin Rolniczych — Nasiona Kobierzyc w Kobierzycach (Poland)
Abstract
In experimental design and plant breeding a wide adaptation degree of the cultivar is understood as the combined information on genotypic mean of yield and Shukla’s stability variance, to serve as a measure of the degree of yield stability of this cultivar in a given region of its cultivation. If both the genotypic yield mean and the degree of yield stability of the cultivar increase, the degree of wide adaptation of this cultivar also increases. The effective measures for wide adaptation degree of cultivars are expected to represent the combined information on a genotypic mean of yield and stability variance. Then, they should be strongly correlated both with a genotypic mean of yield and with stability variance, and ought to put the cultivars in order in a similar way like the measures that are in a balanced way determined by genotypic mean yield and stability variance. The measures that fulfill the above requirements are believed to reflect a relatively large degree of wide adaptation. The aim of the study was to compare the suitability of the measures to be used as criteria for selecting cultivars that show a relatively large degree of wide adaptation. In the analysis, one nonparametric measure (Kang’s yield stability measure, YS) and four parametric measures: 1) reliability index of yield outperforming, R(0), 2) mean value of yield outperforming reliability, MR, 3) superiority index, P, and 4) yield reliability index, I, were applied. The work was performed using data for grain yield obtained in three pre-registration cultivar trials with winter wheat done in the years 1994, 2000 and 2006. The measures Ii(0.90) and Ii(0.95) were found to be the most suitable tools for estimating a relative degree of wide adaptation, as they put in a similar order all the cultivars under study as well as about 40% of cultivars producing the highest yields. The measures YSi, Ri(0), MRi and Pi appeared to be less useful in assessing a degree of wide adaptation of all winter wheat cultivars tested and of 40% of those giving the best yields. However, the measures Ii(0.90) and Ii(0.95) , as compared to the other ones, turned out to be the worse tool in determining a relative degree of wide adaptation in 20% of the cultivars producing the highest yields.
Keywords:
grain yield, pre-registration trials, statistical measures, wide adaptation degree, winter wheatReferences
Allard R. W., Bradshaw A. D. 1964. Implications of genotype-environmental interactions in applied plant breeding. Crop Sci. 4: 503 — 508.
Google Scholar
Annicchiarico P. 2002. Genotype-environment interactions: challenges and opportunities for plant breeding and cultivar recommendations. FAO Plant Production and Protection Paper No. 174. Food and Agriculture Organization, Rome.
Google Scholar
Eskridge K. M., Mumm R. F. 1992. Choosing plant cultivars based on the probability of outperforming a check. Theor. Appl. Genet 84: 494 — 500.
Google Scholar
Eskridge K. M., Smith O. S., Byrne P. F. 1993. Comparing test cultivars using reliability functions of test-check differences from on-farm trials. Theor. Appl. Genet. 87: 60 — 64.
Google Scholar
Flores F., Moreno M. T., Cubero J. I. 1998. A comparison of univariate and multivariate methods to analyze G×E interaction. Field Crops Research 56:271 — 286.
Google Scholar
Gauch H. G. 1992. Statistical analysis of regional yield trials. AMMI analysis of factorial designs. Elsevier, Amsterdam.
Google Scholar
Gauch H. G., Zobel R. W.1996. AMMI analysis of yield trials. In: Kang M. S., Gauch H. G. (Ed), Genotype-by-Environment Interaction, 85-122, CRC Press, Boca Raton, Fl.
Google Scholar
Helgadóttira A., Kristjánsdóttir T. A. 1991. Simple approach to the analysis of G×E interactions in a multilocational spaced plant trial with timothy. Euphytica 54:65-73.
Google Scholar
Iwańska M., Mądry W., Drzazga T., Rajfura A. 2008. Zastosowanie miar statystycznych do oceny stopnia szerokiej adaptacji odmian pszenicy ozimej na podstawie serii doświadczeń przedrejestrowych. Biul. IHAR 250: 67 — 86.
Google Scholar
Kang M. S. 1988. A rank-sum method for selecting high-yielding, stable corn genotypes. Cereal Res. Commun. 16: 113 — 115.
Google Scholar
Kang M. S. 1993. Simultaneous selection for yield and stability in crop performance trials: Consequences for growers. Agron. J. 85: 754 — 757.
Google Scholar
Kang M. S. 1998. Using genotype-by-environment interaction for crop cultivar development. Adv. in Agronomy 62: 200 — 252.
Google Scholar
Kang M. S., Magari R. 1995. STABLE: A BASIC program for calculating stability and yield- stability statistics. Agron. J. 87: 276 — 277.
Google Scholar
Kang M. S., Magari R. 1996. New developments in selecting for phenotypic stability in crop breeding. In: Kang M. S., Gauch H. G (Ed), Genotype-by-Environment Interaction, CRC Press, Boca Raton, Fl.: 1 —14.
Google Scholar
Kang M. S., Pham H. N. 1991. Simultaneous selection for high yielding and stable crop genotypes. Agron. J. 83: 161 — 165.
Google Scholar
Kataoka S. 1963. A stochastic programming model. Econometrika 31: 181 — 196.
Google Scholar
Krajewski P., Kaczmarek Z., Czajka S. 2006. EKSPLAN wersja 2. Planowanie i analiza statystyczna doświadczeń hodowlanych. Instytut Genetyki Roślin PAN, Poznań.
Google Scholar
Lin C. S., Binns M. R. 1988. A superiority measure of cultivar performance for cultivar x location data. Can. J. Plant Sci. 68: 193 — 198.
Google Scholar
Magari R., Kang M. S. 1993. Genotype selection via a new yield-stability statistic in maize yield trials. Euphytica 70: 105 — 111.
Google Scholar
Mądry W. 2002. Skuteczność kryterium YS Kanga, opartego na średniej i stabilności plonu w wyborze genotypów zbóż o szerokiej adaptacji w rejonie uprawnym. Roczn. Nauk Roln. Seria A. 116: 11 — 24.
Google Scholar
Mohammadi R., Amri A. 2008. Comparison of parametric and non-parametric methods for selecting stable and adapted durum wheat genotypes in variable environments. Euphytica 159: 419 — 432.
Google Scholar
Rajfura A., Mądry W. 2001. Metoda wyboru genotypów o szerokiej adaptacji wykorzystująca zarówno ich średnie w rejonie jak i stabilność plonowania. Coll. Biom.: 169 — 182.
Google Scholar
Sabaghnia N., Sabaghpour S. H., Dehghani H. 2008. The use of an AMMI model and its parameters to analyse yield stability in multi-environment trials. J. Agric. Sci. 146: 571 — 581.
Google Scholar
Shukla G. K. 1972. Some statistical aspects of partitioning genotype-environmental components of variability. Heredity 29: 237 — 245.
Google Scholar
Authors
Marzena Iwańskamarzena_iwanska@sggw.edu.pl
Katedra Doświadczalnictwa i Bioinformatyki SGGW w Warszawie Poland
Authors
Wiesław MądryKatedra Doświadczalnictwa i Bioinformatyki SGGW w Warszawie Poland
Authors
Anna RajfuraKatedra Doświadczalnictwa i Bioinformatyki SGGW w Warszawie Poland
Authors
Tadeusz DrzazgaHodowla Roślin Rolniczych — Nasiona Kobierzyc w Kobierzycach Poland
Statistics
Abstract views: 30PDF downloads: 41
License
Copyright (c) 2009 Marzena Iwańska, Wiesław Mądry, Anna Rajfura, Tadeusz Drzazga
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)
- Maciej Majka, Magdalena Gawłowska, Adriana Twardawska, Marek Korbas, Jakub Danielewicz, Tomasz Góral, Bogusława Ługowska, Jolanta Belter, Edward Witkowski, Tadeusz Drzazga, Przemysław Matysik, Urszula Woźna-Pawlak, Halina Wiśniewska, Use of molecular and phenotypic markers to identify wheat eyespot resistance genes caused by Oculimacula yallundae and O. acuformis , Bulletin of Plant Breeding and Acclimatization Institute: No. 288 (2020): Regular issue
- Tomasz Góral, Halina Wiśniewska, Piotr Ochodzki, Dorota Walentyn-Góral, Iga Grzeszczak, Jolanta Belter, Maciej Majka, Jerzy Bogacki, Tadeusz Drzazga, Bogusława Ługowska, Przemysław Matysik, Edward Witkowski, Krzysztof Rubrycki, Urszula Woźna-Pawlak, Fuzarioza kłosów oraz akumulacja toksyn fuzaryjnych w ziarnie rodów hodowlanych pszenicy ozimej , Bulletin of Plant Breeding and Acclimatization Institute: No. 282 (2017): Regular issue
- Wiesław Mądry, Dariusz Gozdowski, A history of the development of statistical methods for designing and analyzing agricultural experiments in the world and in Poland , Bulletin of Plant Breeding and Acclimatization Institute: No. 288 (2020): Regular issue
- Joanna Ukalska, Krzysztof Ukalski, Tadeusz Śmiałowski, Wiesław Mądry, An examination of diversity and interrelationships among traits in a winter wheat (Triticum aestivum L.) germplasm collection by multivariate methods. Part II. Principal component analysis using the phenotypic and genotypic correlation matrix , Bulletin of Plant Breeding and Acclimatization Institute: No. 249 (2008): Regular issue
- Dariusz Gozdowski, Wiesław Mądry, Zdzisław Wyszyński, Analysis of correlation and path coefficients in evaluation of relationships between grain yield and its components of two spring barley cultivars , Bulletin of Plant Breeding and Acclimatization Institute: No. 248 (2008): Regular issue
- Krzysztof Ukalski, Joanna Ukalska, Tadeusz Śmiałowski, Wiesław Mądry, An examination of diversity and interrelationships among traits in a winter wheat (Triticum aestivum L.) germplasm collection by multivariate methods. Part I. Phenotypic and genotypic correlations , Bulletin of Plant Breeding and Acclimatization Institute: No. 249 (2008): Regular issue
- Marcin Studnicki, Wiesław Mądry, Tadeusz Śmiałowski, Multivariate analysis of phenotypic diversity in Polish spring wheat collection , Bulletin of Plant Breeding and Acclimatization Institute: No. 252 (2009): Regular issue
- Adriana Derejko, Wiesław Mądry, Dariusz Gozdowski, Jan Rozbicki, Jan Golba, Mariusz Piechociński, Marcin Studnicki, The influence of cultivar, location, crop management intensities, and their interactions on winter wheat yield in post-registration multi-environment trials (PDO) , Bulletin of Plant Breeding and Acclimatization Institute: No. 259 (2011): Regular issue
- Mirosław Tyrka , Grzegorz Fic , Magdalena Szeliga , Marcin Jaromin , Paweł Krajewski , Paweł Milczarski , Tadeusz Drzazga , Przemysław Matysik , Róża Mazur , Teresa Sikora , Edward Witkowski , Justyna Buczkowicz , Dorota Tyrka , Genomic selection of winter wheat , Bulletin of Plant Breeding and Acclimatization Institute: No. 286 (2019): Special issue
- Anna Rajfura, Wiesław Mądry, Tadeusz Drzazga, Marzena Iwańska, The clustering of locations based on multi-environment trials with different cultivars across years using the SEQRET package. Part II. An example for grain yield from winter wheat pre-registration trials , Bulletin of Plant Breeding and Acclimatization Institute: No. 250 (2008): Regular issue
