Yielding stability and adaptation of spring barley cultivars to the conditions of Poland
Tadeusz Oleksiak
t.oleksiak@ihar.edu.plPracownia Ekonomiki Nasiennictwa i Hodowli Roślin, Zakład Nasiennictwa i Nasionoznawstwa, Instytut Hodowli i Aklimatyzacji Roślin w Radzikowie (Poland)
Dariusz R. Mańkowski
Pracownia Ekonomiki Nasiennictwa i Hodowli Roślin, Zakład Nasiennictwa i Nasionoznawstwa, Instytut Hodowli i Aklimatyzacji Roślin w Radzikowie (Poland)
https://orcid.org/0000-0002-7499-8016
Abstract
Interaction of genotypes with environment (determined by soil quality, agriculture technology level, climate) makes a choice of correct genotypes for breeding difficult and influences future cultivation effects. Estimation of yielding stability in changeable production conditions may be useful for choice of genotypes adapted to specific climate, soil or agriculture technology. The aim of this study was estimation of spring barley yielding stability basing on results of farm survey research within the years 1992–2003. There were following differentiating factors: geographic region of cultivation (according to COBORU), soil quality (soil class and soil acidity), agriculture technology level (mineral fertilization and chemical control). Genotype-environment (G×E) interaction analysis was made using the Sheffé-Caliński mixed model and the Caliński-Kaczmarek joint regression model. Calculations were made using the SERGEN 3 computer program. On the basis of the analyses, the investigated spring barley cultivars were grouped into two classes; yielding stable, considering the agricultural point of view (reacting proportionally to a change of cultivation conditions), and unstable ones (showing significant interaction with environment). The unstable varieties where divided into three another groups: intensive ones (reacting with yields higher than proportionally to more favorable conditions), extensive ones (reacting with yields relatively lower than proportionally to less favorable conditions) and those reacting irregularly to the environment (we are not able to describe the reaction by any linear regression function).
Keywords:
survey research, stability analysis, genotype-environment interaction, spring barleyReferences
Atlin G. N., McRae K. B., Lu X. 2000. Genotype × region interaction for two-row barley yield in Canada. Crop. Sci. 40: 1 — 6.
Google Scholar
Becker H. C., Léon J. 1988. Stability analysis in plant breeding. Plant Breeding 101: 1 — 23.
Google Scholar
Bujak H., Kaczmarek J., Chrzanowska-Drożdż B., Liszewski M. 2003. Interakcja genotypowo-środowiskowa plonowania jęczmienia ozimego na Dolnym Śląsku. Biul. IHAR 226/227 (1): 233 — 241.
Google Scholar
Caliński T. 1966. On the distribution of the F-type statistic in the analysis of a group of experiments. J. Roy. Stat. Soc. Series B, 28: 526 — 542.
Google Scholar
Caliński T. 1967. Model analizy wariancji dla doświadczeń wielokrotnych. Rocznik Nauk Rolniczych, Seria A 93, 3: 549 — 579.
Google Scholar
Caliński T., Czajka S., Kaczmarek Z. 1979. Analiza interakcji genotypowo-środowiskowej. 3. Zastosowanie analizy regresji oraz analizy składowych głównych. IX Coll. Metodol. z Agrobiom. PAN, Warszawa: 5 — 28.
Google Scholar
Caliński T., Czajka S., Kaczmarek Z. 1997. A multivariate approach to analysis genotype-environment interactions. In: Krajewski P., Kaczmarek Z. (ed.), Advances in Biometrical Genetics. Poznań: 3 — 14.
Google Scholar
Caliński T., Czajka S., Kaczmarek Z., Krajewski P., Siatkowski I. 1998. SERGEN — Analiza serii doświadczeń odmianowych i genetyczno hodowlanych. Program komputerowy, Poznań, IGR.
Google Scholar
Eberhart S. A., Russel W. A. 1966. Stability parameters for comparing varieties. Crop Sci. 6: 36 — 40.
Google Scholar
Jankowski P., Zieliński A., Mądry W. 2006. Analiza interakcji genotyp-środowisko dla pszenicy ozimej z wykorzystaniem metody graficznej biplot typu GGE. Część I. Podstawy teoretyczne. Biul. IHAR 240/241: 53 — 60.
Google Scholar
Kaczmarek Z. 1986. Analiza doświadczeń wielokrotnych zakładanych w blokach niekompletnych. Roczniki AR w Poznaniu, Rozprawy Naukowe, Poznań.
Google Scholar
Kaczmarek Z., Adamski T., Surma M. 2004. Interakcja genotypowo-środowiskowa dla plonu dwu- i sześciorzędowych linii DH jęczmienia. Biul. IHAR 231: 313 — 320.
Google Scholar
Kaczyński L. 1999. Reakcja odmian roślin rolniczych na czynniki środowiska, niezbędny zakres doświadczeń PDO na Dolnym Śląsku. Podstawy organizacji i planowania doświadczalnictwa z zarejestrowanymi odmianami roślin rolniczych na Dolnym Śląsku. Zesz. 1: 35 — 46.
Google Scholar
Kang M. S. 1998. Using genotype-by-environment interaction for crop cultivar development. Adv. in Agron. 62: 200 — 252.
Google Scholar
Mądry W. 2003. Analiza statystyczna miar stabilności na podstawie danych w klasyfikacji genotypy × środowiska. Cz. II. Model mieszany Shukli i model regresji łącznej. Colloquium Biometryczne, 33: 207 — 220.
Google Scholar
Mądry W., Kang M. S. 2005. Scheffe-Caliński and Shukla Models: Their Interpretation and usefulness in stability and adaptation analyses. Journal of Crop Improvement 14 (1/2): 325 — 369.
Google Scholar
Mądry W., Rajfura A. 2003. Analiza statystyczna miar stabilności na podstawie danych w klasyfikacji genotypy × środowiska. Cz. I. Model mieszany Scheffego-Calińskiego i model regresji łączonej. Colloquium Biometryczne 33: 181 —2 05.
Google Scholar
Maragi R., Kang M. S. 1997. SAS–STABLE: Stability analysis of balanced and unbalanced data. Agron. J. 90: 929 — 932.
Google Scholar
Mekbib F. 2003. Yield stability in common bean (Phaseolus vulgaris L.) genotypes. Euphytica 130: 147 — 153.
Google Scholar
Nurminiemi M., Madsen S., Rogali O. A., Bjørnstad Å., Ortiz R. 2002. Analysis of the genotype-environment interaction in the Nordic Region of Europe: relationships among stability statistics for grain yield. Euphytica 127: 123 — 132.
Google Scholar
Piepho H. P. 1998. Methods of comparing yield stability of cropping systems — a review. J. Agron. Crop Sci. 180: 193 — 213.
Google Scholar
Piepho H. P. 1999. Stability Analysis using SAS system. Agron. J. 91: 154 — 160.
Google Scholar
Ruszkowski M., Ruszkowska B., Siemion S., Uliński G., Witek T. 1971. Produkcyjność jęczmienia jarego i owsa w różnych warunkach siedliska. Pamiętnik Puławski 44: 71 — 82.
Google Scholar
SAS Institute Inc. 2004 a. BASE SAS 9.1.3 Procedures guide. Cary, NC, USA, SAS Publishing, SAS Institute Inc.
Google Scholar
SAS Institute Inc. 2004 b. SAS 9.1 Companion for Windows. Cary, NC, USA, SAS Publishing, SAS Institute Inc.
Google Scholar
Scheffé 1959. The analysis of variance. John Wiley & Sons, New York.
Google Scholar
Shukla G. K. 1972. Some statistical aspects of partitioning genotype × environment components of variability. Heredity 29: 237 — 245.
Google Scholar
Witek T. (red.) 1981. Waloryzacja rolniczej przestrzeni produkcyjnej Polski według gmin. Puławy, IUNG.
Google Scholar
Authors
Tadeusz Oleksiakt.oleksiak@ihar.edu.pl
Pracownia Ekonomiki Nasiennictwa i Hodowli Roślin, Zakład Nasiennictwa i Nasionoznawstwa, Instytut Hodowli i Aklimatyzacji Roślin w Radzikowie Poland
Authors
Dariusz R. MańkowskiPracownia Ekonomiki Nasiennictwa i Hodowli Roślin, Zakład Nasiennictwa i Nasionoznawstwa, Instytut Hodowli i Aklimatyzacji Roślin w Radzikowie Poland
https://orcid.org/0000-0002-7499-8016
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