The estimation of winter wheat field response to variable environmental conditions in post-registration cultivar trials

Tadeusz Drzazga

kobierzyce@nasiona.com.pl
Hodowla Roślin Rolniczych „Nasiona Kobierzyc” (Poland)

Jakub Paderewski


Katedra Doświadczalnictwa i Bioinformatyki SGGW (Poland)

Paweł Krajewski


Instytut Genetyki Roślin PAN w Poznaniu (Poland)

Abstract

The yields of 31 winter wheat cultivars were assessed in post-registration cultivar trials (PDO) done in the years 2005–2007 in 20 locations. The aim of this work was to determine the patterns of grain yield response to environmental conditions, as related to the multi-year means. For the three-way classification of the GLY (genotypes × locations × years) combinations, the analysis of variance according to the mixed model was done. The AMMI analysis was carried out on the GL combinations (means for replications and years). The genotypes were classified in groups on the basis of similar GL interaction effects, measured according to Ward’s method of cluster analysis. The groups were divided into subgroups based on the uniform values of genotypic means for yield. Non-hierarchical cluster analysis, developed by Caliński and Corsten in 1985 was used.


Keywords:

winter wheat, post-registration cultivar trials, AMMI analysis, cluster analysis

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 a. Defining adaptation strategies and yield stability targets in breeding programmes. In: Quantitative genetics, genomics and plant breeding. Kang M.S. (Ed.), CABI, Wallingford, UK. 165 — 183.
Google Scholar

Annicchiarico P. 2002 b. 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

Annicchiarico P., Bellah F., Chiari T. 2006. Repeatable genotype-location interaction and its exploitation by conventional and GIS-based cultivar recommendation for durum wheat in Algeria. Eur. J. Agron. 24: 70 — 81.
Google Scholar

Caliński T., Corsten L. C. A. 1985. Clustering means in ANOVA by simultaneous testing. Biometrics 41: 39 — 48.
Google Scholar

Cornelius P. L. 1993. Statistical tests and retention of terms in the additive main effects and multiplicative interaction model for cultivar trials. Crop Sci. 33: 1186 — 1193.
Google Scholar

Elandt R. 1964. Statystyka matematyczna w zastosowaniu do doświadczalnictwa rolniczego. PWN, Warszawa.
Google Scholar

Fufa H., Baenziger P.S., Beecher B. S., Graybosch R.A., Eskridge K. M., Nelson L. A. 2005. Genetic improvement trends in agronomic performances and end-use quality characteristics among hard red winter wheat cultivars in Nebraska. Euphytica 144: 187 — 198.
Google Scholar

Gauch H. G. 1992. Statistical analysis of regional yield trials. AMMI analysis of factorial designs. Elsevier Science, New York.
Google Scholar

Gauch H. G. 2006. Statistical analysis of yield trials by AMMI and GGE. Crop Sci. 46: 1488 — 1500.
Google Scholar

Gauch H. G., Zobel R. W. 1996. AMMI analysis of yield trials. In: Genotype by environment interaction. M. S. Kang, H. G. Gauch (Ed.). CRC Press, Boca Raton: 85 — 122.
Google Scholar

Gauch H. G., Zobel R. W. 1997. Identifying mega-environments and targeting genotypes. Crop Sci. 37: 311 — 326.
Google Scholar

Gauch H. G., Piepho H. P., Annicchiarico P. 2008. Statistical analysis of yield trials by AMMI and GGE: Further considerations. Crop Sci. 48: 866 — 889.
Google Scholar

Kaczmarek Z. 1986. Analiza doświadczeń wielokrotnych zakładanych w blokach niekompletnych. Roczniki Akademii Rolniczej w Poznaniu: 155.
Google Scholar

Lillemo M., van Ginkel M., Trethowan R.M., Hernandez E., Crossa J. 2005. Differential adaptation of CIMMYT bread wheat to global high temperature environments. Crop Sci. 45: 2443 — 2453.
Google Scholar

Mądry W., Drzazga T., Laudański Z., Rajfura A., Krajewski P., Sieczko L. 2003. Statystyczna analiza adaptacji genotypów pszenicy ozimej na podstawie mieszanych modeli genotypowo-środowiskowych. Fragm. Agron. 80: 10 — 31.
Google Scholar

Mądry W., Talbot M., Ukalski K., Drzazga T., Iwańska M. 2006. Podstawy teoretyczne znaczenia efektów genotypowych i interakcyjnych w hodowli roślin na przykładzie pszenicy ozimej. Biul. IHAR 240/241: 13 — 31.
Google Scholar

Paderewski J. 2008. Przydatność modelu AMMI do badania reakcji roślin rolniczych na warunki środowiskowe. Praca doktorska, Wydział Rolnictwa i Biologii SGGW, Warszawa.
Google Scholar

Rodriguez M., Rau D., Papa R., Attene G. 2008. Genotype by environment interactions in barley (Hordeum vulgare L.): different responses of landraces, recombinant inbred lines and varieties to Mediterranean environment. Euphytica 163: 231 — 247.
Google Scholar

Roozeboom K. L., Schapaugh W.T., Tuinstra M. R., Vanderlip R. L., Milliken G. A. 2008. Testing wheat in variable environments: genotype, environment, interaction effects and grouping test locations. Crop Sci.. 48: 317 — 330.
Google Scholar

Samonte S. O., Wilson L. T., McClung A. M., Medley J. C. 2005. Targeting cultivars onto rice growing environments using AMMI and SREG GGE biplot analyses. Crop Sci. 45: 2414 — 2424.
Google Scholar

SAS Institute. 2001. SAS system for Windows. v. 8.2. SAS Inst., Cary, NC.
Google Scholar

Singh R. P., Huerta-Espino J., Sharma R., Joshi A. K.,· Trethowan R. 2007. High yielding spring bread wheat germplasm for global irrigated and rainfed production systems. Euphytica 157: 351 — 363.
Google Scholar

Sivapalan S., O’Brien L., Ortiz-Ferrera G., Hollamby G. J., Barclay I., Martin P. J. 2000. An adaptation analysis of Australian and CIMMYT/ICARDA wheat germplasm in Australian production environments. Aust. J. Agric. Res. 51: 903 — 915.
Google Scholar

Trethowan R., Crossa J. 2007. Lessons learnt from forty years of international spring bread wheat trials. Euphytica 157: 385 — 390.
Google Scholar

Trethowan R. M., van Ginkel M., Rajaram S. 2002. Progress in breeding wheat for yield and adaptation in global drought affected environments. Crop Sci. 42: 1441 — 1446.
Google Scholar

Yan W., Hunt L. A. 1998. Genotype by environment interaction and crop yield. Plant Breed. Rev. 16:135 — 179.
Google Scholar

Zhang Y., He Z., Zhang A., van Ginkel M., Ye G. 2006. Pattern analysis on grain yield of Chinese and CIMMYT spring wheat cultivars grown in China and CIMMYT. Euphytica 147: 409 — 420.
Google Scholar


Published
2009-09-30

Cited by

Drzazga, T., Paderewski, J. and Krajewski, P. (2009) “The estimation of winter wheat field response to variable environmental conditions in post-registration cultivar trials ”, Bulletin of Plant Breeding and Acclimatization Institute, (253), pp. 71–82. doi: 10.37317/biul-2009-0023.

Authors

Tadeusz Drzazga 
kobierzyce@nasiona.com.pl
Hodowla Roślin Rolniczych „Nasiona Kobierzyc” Poland

Authors

Jakub Paderewski 

Katedra Doświadczalnictwa i Bioinformatyki SGGW Poland

Authors

Paweł Krajewski 

Instytut Genetyki Roślin PAN w Poznaniu Poland

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Copyright (c) 2009 Tadeusz Drzazga, Jakub Paderewski, Paweł Krajewski

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