Abstract
The objective of this study was to determine genotype × environment interactions (GEI) obtained in wheat production in southeast Europe for protein content, sedimentation value, and loaf volume. Twenty wheat genotypes divided in two groups with different combinations of high molecular weight glutenin subunits (HMW-GS) were analyzed in 15 environments (E). In a combined analysis of variance, effects of genotype, environment, and their interaction (GEI) were highly significant for almost all the analyzed traits. All the three traits were influenced more by location than by year, with protein content and sedimentation value being more responsive to changes in environmental conditions than loaf volume. The genotypes with high protein content had the regression coefficient value (b) close to 1, indicating that they did not react to extreme environmental conditions as was the case with genotypes with high sedimentation and loaf volume values. There were no significant differences in average values for the analyzed traits and adaptability parameters between the two groups of genotypes. It means that, concerning wheat quality improvement, genotypes with different HMW-GSs on the Glu-1D locus could be recommended for growing in southeast Europe. It is necessary to take into account the differences in adaptability of protein content to either positive or negative environmental changes that were observed between the groups.
Similar content being viewed by others
References
Annicchiarico P (1997) Joint regression vs. AMMI analysis of genotype-environment interactions for cereals in Italy. Euphytica 94:53–62
Bartlett MS (1937) Properties of sufficiency and statistical tests. Proc R Soc A160:268–282
Becker HC, Leon J (1988) Stability analysis in plant breeding. Plant Breed 101:1–23
Bernardo R (2002) Breeding for quantitative traits in plants. Stemma Press, Woodbury
Blumenthal C, Gras PW, Bekes F, Barlow EWR, Wrigley CW (1995) Possible role for the Glu-D1 locus with respect to tolerance to dough-quality change after heat stress. Cereal Chem 72:135–136
Burnouf T, Bouriquet R (1983) Inheritance of glutenin subunits in F1 seeds of reciprocal crosses between European hexaploid wheat cultivars. Theor Appl Genet 64:103–107
Carver BF, Rayburn AL (1994) Comparison of related wheat stocks possessing 1B or 1RS.1BL chromosomes: agronomic performance. Crop Sci 34:1505–1510
Cinco-Moroyoqu JF, MacRitchie F (2008) Quantitation of LMW-GS to HMW-GS ratio in wheat flours. Cereal Chem 85:824–829
Cornelius PL, Seyedsadr M, Crossa J (1992) Using the shifted multiplicative model to search for “separability” in crop cultivar trials. Theor Appl Genet 84:161–172
DeLacy IH, Basford KE, Cooper M, Bull JK, McLaren CG (1996) Analysis of multi-environment trials—an historical perspective. In: Cooper M, Hamer GL (eds) Plant adaptation and crop improvement. CAB International, Cambridge, pp 39–124
D’Ovidio R, Masci S (2004) The low-molecular-weight glutenin subunits of wheat gluten. J Cereal Sci 39:321–339
Finlay KW, Wilkinson GN (1963) The analysis of adaptation in a plant breeding programme. Aust J Agric Res 14:742–754
Gauch HG (1992) Statistical analysis of regional yield trials. Elsevier, Amsterdam
Gupta RB, Paul JG, Cornish GB, Palmer GA, Bakes F, Rathjen AJ (1994) Allelic variation at glutenin subunit and gliadin loci, Glu-1, Glu-3 and Gli-1, of common wheats. I. Its additive and interactive effects on dough properties. J Cereal Sci 19:9–17
Hazen SP, Ng PKW, Ward RW (1997) Variation in grain functional quality for soft winter wheat. Crop Sci 37:1086–1093
Hill J, Becker HC, Tigerstedt PMA (1998) Quantitative and ecological aspects of plant breeding. Chapman & Hall, London
Horvat D, Drezner G, Jurkovic Z, Simic G, Magdic D, Dvojkovic K (2006) The importance of high-molecular-weight glutenin subunits for wheat quality evaluation. Poljoprivreda 12:1–6
Hristov N, Mladenov N, Kobiljski B, Dencic S, Kondic-Spika A (2005). Quality and yield of wheat grown under different conditions. In: Proceedings of 7th international wheat conference, November 27 to December 2, Mar del Plata, Argentina (CD edn)
ICC (1994) Standard Methoden der internationalen Gesellschaft fur Getreidechemie. Methods 105/2 and 116/1. Werlag Moritz Schafer, Detmold
Johansson E, Svensson G (1998) Variation in bread-making quality: effects of weather parameters on protein concentration and quality in some Swedish wheat cultivars grown during the period 1975–1996. J Sci Food Agric 78:109–118
Johansson E, Svensson G, Heneen WK (1994) Quality evaluation of the high-molecular-weight glutenin subunits in Swedish wheat material. In: Proceedings of 5th international workshop gluten proteins, Association of Cereal Research, Detmold, Germany, pp 568–575
Johansson E, Svensson G, Tsegaye S (2000) Genotype and environment effects on bread-making quality of Swedish-grown wheat cultivars containing high-molecular-weight glutenin subunits 2+12 or 5+10. Acta Agric Scand B 49:225–233
Lin CS, Binns MR (1985) Procedural approach for assessing cultivar-location data: Pairwise genotype-environment interactions of test cultivars with checks. Can J Plant Sci 65:1065–1071
Lorenzo A, Kronstad WE (1987) Reliability of two laboratory techniques to predict bread wheat protein quality in nontraditional growing areas. Crop Sci 27:247–252
Matsuo T (1975) Adaptability in plants. With special reference to crop yield. Jpn Commun Int Biol Program (Tokyo) 6:217
Mladenov N, Misic T, Przulj N, Hristov N (2001a) Bread-making quality and stability of winter wheat grown in semiarid conditions. Rostlinna vyroba 47:160–166
Mladenov N, Przulj N, Hristov N, Djuric V, Milovanovic M (2001b) Cultivar-by-environment interactions for wheat quality traits in semiarid conditions. Cereal Chem 78:363–367
Nachit MM, Nachit G, Ketata H, Gauch HG, Zobel RW (1992) Use of AMMI and linear regression models to analyze genotype-environment interaction in durum wheat. Theor Appl Genet 83:597–601
Nurminiemi M, Madsen S, Rognli OA, Bjornstad A, Ortiz R (2002) Analysis of the genotype-by-environment interaction of spring barley tested in the Nordic region of Europe: relationships among stability statistics for grain yield. Euphytica 127:123–132
Panozzo JF, Eagles HA (2000) Cultivar and environment effects on quality characters in wheat. II. Protein. Aust J Agric Res 51:629–636
Payne PI, Lawrence GJ, Nightingale MA, Krattiger AF, Holt LM (1987) The relationship between HMW subunit composition and bread-making quality of British-grown varieties. J Sci Food Agric 40:51–60
Pinnschmidt OH, Hovmoller SM (2002) Genotype × environment interactions in the expression of net blotch resistance in spring and winter barley varieties. Euphytica 125:227–243
Pyler EJ (1988) Baking science and technology, 3rd edn. Sosland, Kansas City, pp 357–377
Robert N, Denis JB (1996) Stability of baking quality in bread wheat using several statistical parameters. Theor Appl Genet 93:172–178
Roozeboom KL, Schapaugh WT, Tuinstra MR, Vanderlip RL, Milliken GA (2008) Testing wheat in variable environments: genotype, environment, interaction effects, and grouping test locations. Crop Sci 48:317–330
Saint Pierre C, Peterson CJ, Ross AS, Ohm JB, Verhoeven MC, Larson M, Hoefer B (2008) Winter wheat cultivars under different levels of nitrogen and water stress: changes in grain protein composition. J Cereal Sci 47:407–416
SAS (1998) SAS online doc V7. SAS Institute Inc., Cary, NC
Simic D, Gunjaca J, Zdunic Z, Brkic I, Kovacevic J (2003) Biometrical characterization of test sites for maize breeding. Poljoprivreda 9:18–24
Sudaric A, Simic D, Vrataric M (2006) Characterization of genotype by environment interactions in soybean breeding programmes of southeast Europe. Plant Breed 125:191–194
Tian J, Hu R, Deng Z, Wang Y (2007) The variation and stability analysis of wheat dough stability time. Agric Sci China 6:143–149
Tronsmo KM, Faergestad EM, Schofield JD, Magnus EM (2003) Wheat protein quality in relation to baking performance evaluated by the Chorleywood bread process and a hearth bread baking test. J Cereal Sci 38:205–215
Utz HF (1972) Die Zerlegung der Genotyp × Umwelt—Interaktionen. EDV Med Biol 3:52–59
Utz HF (1995) PLABSTAT Version M. Ein Computerprogramm zur statistischen Analyse von pflanzenzüchterischen Experimenten. Selbstverlag Universität Hohenheim, Stuttgart
Weber WE, Wricke G (1990) Genotype × environment interaction and its implication in plant breeding. In: Kang MS, Gauch HG (eds) Genotype-by-environment interaction in plant breeding. Louisiana State University Agricultural Center, Baton Rouge
Williams RM, O’Brien L, Eagles A, Solah A, Jayasena V (2008) The influences of genotype, environment and genotype × environment interaction on wheat quality. Aust J Agric Res 59:95–111
Wright AJ (1971) The analysis and prediction of some two factor interactions in grass breeding. J Agric Sci Camb 76:301–306
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Hristov, N., Mladenov, N., Djuric, V. et al. Genotype by environment interactions in wheat quality breeding programs in southeast Europe. Euphytica 174, 315–324 (2010). https://doi.org/10.1007/s10681-009-0100-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10681-009-0100-8