Multienvironmental evaluation of wheat landraces by GGE Biplot Analysis for organic breeding


This study was conducted to determine the performance of wheat landraces cultivated under organic conditions and to analyze their stability across diverse environments. Six wheat landraces with specific characteristics (high protein content, drought tolerance, stay green) were tested under organic growing environment. The experiments were applied in three locations (Larisa (LAR), Thessaloniki (THES), Kilkis (KIL)) for three growing seasons. The role of specific agronomic traits (stay green, lodging) and their correlation with yield components were analyzed. Stability and genotypic superiority for grain yield were determined using ANOVA and genotype × environment (GGE) biplot analysis. Furthermore, the interrelationships among wheat traits and genotype-by-trait using regression analysis, coefficient of variation and (GT)-biplot technique were studied. Significant differences were found in yield among wheat landraces tested, and also in yield components, as related to specific traits expressed into organic environment. Best varieties in terms of yield were the medium statured landraces Skliropetra and M. Argolidas, characterized by lowest weight of 1000 grains, large number of spikes per m2 meter and the highest number of grains per spike as compared to the other landraces. The statistical model GGE biplot provides useful information for experimentation of wheat landraces when grown under organic environment. It identifies clearly the ideal and representative environment for experimentation and underlines the effect of specific traits for each wheat cultivar on yield performance and stability across environments.

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Koutis, K. , G. Mavromatis, A. , Baxevanos, D. and Koutsika-Sotiriou, M. (2012) Multienvironmental evaluation of wheat landraces by GGE Biplot Analysis for organic breeding. Agricultural Sciences, 3, 66-74. doi: 10.4236/as.2012.31009.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Atkinson, M., Kettlewell, P.S., Poulton, P.R. and Hollings, P.D. (2008) Grain quality in the Broadbalk wheat experiment and the winter North Atlantic oscillation. Journal of Agricultural Science, 146, 541-549. doi:10.1017/S0021859608007958
[2] Gitay, H., Brown, S., Easterling, W. and Jallow, B. (2001) Ecosystems and their goods and services. In: McCarthy, J.J., Canziani, O.F., Leary, N.A., Dokken, D.J. and White, K.S., Eds., Climate Change 2001: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, 237-342.
[3] Parry, M.L., Rosenzweig, C., Iglesias, A., Livermore, M. and Fischer, G. (2004) Effects of climate change on global food production under SRES emissions and socio- economic scenarios. Global Environmental Change, 14, 53-67. doi:10.1016/j.gloenvcha.2003.10.008
[4] Annicchiarico, P. and Pecetti, L. (1993) Contribution of some agronomic traits to durum wheat performance in a dry Mediterranean region of Northern Syria. Agronomie, 13, 25-34. doi:10.1051/agro:19930102
[5] Pecetti, L., Boggini, G, and Gorham, J. (1994) Performance of durum wheat landraces in a Mediterranean environment (eastern Sicily). Euphytica, 80, 191-199. doi:10.1007/BF00039650
[6] Wolfe, M.S., Baresel, J.P., Desclaux, D., Goldringer, I., Hoad S., Kovacs, G., Loschenberger, F., Miedaner, T., Ostergard, H. and Lammerts van Bueren, E.T. (2008) Developments in breeding cereals for organic agriculture. Euphytica, 163, 323-346. doi:10.1007/s10681-008-9690-9
[7] Hammer, K. and Gladis, T.H. (2001) Nutzung genetischer ressourcen-okologischer wert der biodivesitat. Symposium der AG Genetische Ressourcen der Gesellschaft fur Pflanzenzuchtung, 23-24 November 2000, Witzenhausen, Schriften zu Genetischer Ressoursen 16, ZADI, Bonn.
[8] Lammerts van Bueren, E.T., van Soest, L.J.M., de Groot, E.C., Boukema, I.W. and Osman, A.M. (2005) Broadening the genetic base of onion to develop better-adapted varieties for organic farming systems. Euphytica, 146, 125-132. doi:10.1007/s10681-005-0204-8
[9] Moragues, M., Garcia del Moral, L.F., Moralejo, M. and Royo, C. (2006) Yield formation strategies of durum wheat landraces with distinct pattern of dispersal within the Mediterranean basin. I. Yield components. Field Crops Research, 95, 194-205. doi:10.1016/j.fcr.2005.02.009
[10] Ceccarelli, S. (1989) Wide adaptation. How wide? Euphytica, 40, 197-205.
[11] Cooper, M., Podlich, D.W., Luo, L. (2007) In: Varshney, R. and Tuberosa, R., Eds., Modeling QTL Effects and MAS in Plant Breeding. Genomics-Assisted Crop Improvement, Springer, Dordrecht, The Netherlands, 1, 57-96.
[12] Yan, W. and Hunt L.N. (2001) Interpretation of Genotype X Environment Interaction for Winter Wheat Yield in Ontario. Crop Science, 41, 19-23. doi:10.2135/cropsci2001.41119x
[13] Koutis, K. and Galanopoulou-Sendouka, St. (2005) Suitability of local varieties of wheat to organic agricultural systems. Proceedings of International Symposium on: Organic Agriculture in the Mediterranean—Problems and Perspectives, Chania, 9-11 November 2005.
[14] Anonymous (1991) Council Regulation (EEC) No 2092/91 on organic production of agricultural products and indications referring thereto on agricultural products and foodstuffs including all amendments. Official Journal No L 198, 22.7.1991, European Economic Community, Brussels, Belgium.
[15] Guillen-Portal, F.R., Russel, W.K., Eskridge, K.M., Baltensperger, D.D., Nelson, L.A., D’Croz-Mason, N.E. and Johnson, B.E. (2004) Selection environments for maize in the U.S. western high plains. Crop Science, 44, 1519-1526. doi:10.2135/cropsci2004.1519
[16] Yan, W. (2001) GGE biplot-a Windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agronomy Journal, 93, 1-11. doi:10.2134/agronj2001.9351111x
[17] Yan, W. and Rajcan, I. (2002) Biplot analysis of test sites and trait relations of soybean in Ontario, Crop Science, 42, 11-20. doi:10.2135/cropsci2002.0011
[18] Calderini, D.F., Dreccer, M.F. and Slafer, G.A. (1995) Genetic improvement in wheat yield and associated traits. A re-examination of previous results and the latest trends. Plant Breeding, 114, 108-112. doi:10.1111/j.1439-0523.1995.tb00772.x
[19] Feil, B. (1992) Breeding progress in small grain cereals-a com-parison of old and modern cultivars. Plant Breeding, 108, 1-11. doi:10.1111/j.1439-0523.1992.tb00093.x
[20] Reynolds, M.P., Balota, M., Delgado, M.I.B., Amani, I. and Fischer, R.A. (1994) Physiological and morphological traits associated with spring wheat yield under hot, irrigated conditions. Australian Journal of Plant Physiology, 21, 717-730. doi:10.1071/PP9940717
[21] Garcia del Moral, L., Rharrabti, Y., Villegas, D. and Royo, C. (2003) Evaluation of Grain Yield and Its Components in Durum Wheat under Mediterranean Conditions: An Ontogenic Approach. Agronomy Journal, 95, 266-274. doi:10.2134/agronj2003.0266
[22] Perry, M. and D’Antuono, M. (1989) Yield improvement and associated characteristics of some Australian spring wheat cultivars introduced between 1860 and 1982. Australian Journal of Agricultural Research, 40, 457-472.
[23] Siddique, K., Belford, R., Perry, M. and Tennant, D. (1989) Growth, development and light interception of old and modern wheat cultivars in a Mediterranean-type environment. Australian Journal of Agricultural Research, 40, 473-487.
[24] Cox, T., Shroyer, J., Ben-Hui, L., Sears, R. and Martin, T. (1988) Genetic improvement in agronomic traits of hard red winter wheat cultivars from 1919 to 1987. Crop Science, 28, 756-760. doi:10.2135/cropsci1988.0011183X002800050006x
[25] Waddington, S., Ransom, J., Osmanzai, M. and Saunders, D. (1986). Improvement in the yield potential of bread wheat adapted to Northwest Mexico. Crop Science, 26, 698-703. doi:10.2135/cropsci1986.0011183X002600040012x
[26] Hafsi, M., Mechmeche, W., Bouamama, L., Djekoune, A., Zaharieva1, M. and Monneveux, P. (2000) Flag Leaf Senescence, as Evaluated by Numerical Image Analysis, and its Relationship with Yield under Drought in Durum Wheat. Journal of Agronomy and Crop Science, 185, 275-280. doi:10.1046/j.1439-037x.2000.00436.x
[27] Slafer, G.A. and Andrade, F.H. (2003) Physiological attributes to the generation of grain yield in bread wheat cultivars re-leased at different eras. Field Crops Research, 31, 351-367. doi:10.1016/0378-4290(93)90073-V
[28] Austin, R.B., Ford, M.A. and Morgan, C.L. (1989) Genetic improvement in the yield of winter wheat: a further evaluation. Journal of Agriculture Science, 112, 295-301. doi:10.1017/S0021859600085749
[29] Acevedo, E. (1987) Assessing crop and plant attributes for cereal improvements. In: Srivastava, J.P., Porceddu, E., Acevedo, E. and Varma, S., Eds., Drought Tolerance in Winter Cereals, Chichester, UK, Willey, 303-320.
[30] Thomas, H. and Smart, C.M. (1993) Crops that stay green. Annals of Applied Biology, 123, 193-129. doi:10.1111/j.1744-7348.1993.tb04086.x
[31] Araus, J.L., Bort, J., Steduto, P., Villegas, D. and Royo, C. (2003) Breeding cereals for mediterranean conditions: Ecophysiological clues for biotechnology application. Annals of Applied Biology, 142, 129-141. doi:10.1111/j.1744-7348.2003.tb00238.x
[32] Anderson, M.K. and Reinbergs, E. (1985) Barley Breeding. In: Rasmusson, D.C. Ed., Barley Breeding, Monograph 26, ASA-CSSA Madison, WI 53711-USA, 231-268.
[33] Donmez, E., Sears, R., Shroyer, J. and Paulsen, G. (2001) Genetic gain in yield attributes of winter wheat in the Great Plains. Crop Science, 41, 1412-1419. doi:10.2135/cropsci2001.4151412x
[34] Hoad, S.P. and Topp, C.F.E. (2007) Quantifying genotype and environment interactions to benefit selection and evaluation of cereals for competitiveness against weeds. In: Lammerts van Bueren, E.T., Goldringer, I., Scholten, O. and Ostergard, H., Eds., Proceedings of Eucarpia Symposium of Working Group in Organic Plant Breeding, Wageningen, Netherlands, 7-9 November 2007, 72 Pages.
[35] Legzdina, L., Kokare, A. and Lammerts van Bueren, E. (2007) Genotype and environment interaction of various spring barley genotypes in organic and conventional growing conditions. In: Lammerts van Bueren, E.T., Goldringer, I., Scholten, O. and Ostergard, H., Eds., Proceedings of Eucarpia Symposium of Working Group Organic Plant Breeding, Wageningen, Netherlands, 7-9 November 2007, 17 Pages.
[36] Weber, W., Wricke, G. and Westermann, T. (1996) Selection of genotypes and prediction of performance by analysing Geno-type-by-Environment interactions. In: Kang, M. and Gauch, H., Eds., Selection of Genotypes and Prediction of Performance by Analysing Genotype-by-Environment interactions. Genotype-by-Environment Interaction, CRC Press, Boca Raton, Florida, USA, 353-371.
[37] Yan, W. and Kang, M.S. (2003) GGE Biplot Analysis. CRC Press, Boca Raton.
[38] Bhan, M.K., Pal, S., Rao, B.L., Dhar, A.K. and Kang, M.S. (2005) GGE Biplot Analysis of oil yield in lemon- grass (Cymbopogon spp.). Journal of New Seeds, 7, 127- 139. doi:10.1300/J153v07n02_07
[39] Law, C.N. (1995) Genetic manipulation in plant breeding-prospects and limitations. Euphytica, 85, 1-12. doi:10.1007/BF00023925
[40] Slafer, G.A., Calderini, D.F. and Miralles, D.J. (1996). Increasing Yield Potential in Wheat: Breaking the barriers. In: Reynolds, M., Ed., Proceedings of CIMMYT International Symposium: Generation of Yield Components and Compensation in Wheat: Opportunities for Further Increasing Yield Potential, CIMMYT, Mexico, 101-133.

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