Abstract
Understanding the relationships among testing environments is essential for better targeting cultivars to production environments. To identify patterns of cultivar, environment, cultivar-by-environment interactions, and opportunities for indirect selection for grain yield, a set of 25 spring wheat cultivars from China and the International Maize and Wheat Improvement Center (CIMMYT) was evaluated in nine environments in China and four management environments at CIMMYT in Cd. Obregon, Mexico, during two wheat seasons. Genetic background and original environment were the main factors influencing grain yield performance of the cultivars. Baviacora M 92, Xinchun 2 and Xinchun 6 showed relatively more stable and higher grain yields, whereas highly photoperiod sensitive cultivars Xinkehan 9, Kefeng 6 and Longmai 19 proved consistently inferior across environments, except in Harbin and Keshan, the two high latitude environments. Longmai 26, also from high latitude environments in the north-eastern Heilongjiang province, was however probably not as photoperiodicly sensitive as other cultivars from that region, and produced much higher grain yield and expressed a broader adaptation. None of the environments reported major diseases. Pattern analyses revealed that photoperiod response and planting option on beds were the two main factors underlying the observed interactions for grain yield. The production environment of planting on the flat in Mexico grouped together with Huhhot and Urumqi in both wheat seasons, indicating an indirect response to selection for grain yield in this CIMMYT managed environment could benefit the two Chinese environments. Both the environment of planting on the flat with Chinese Hejin and Yongning, and the three CIMMYT environments planting on raised beds with Chinese Yongning grouped together only in one season, showing that repeatability may not be stable in this case.
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References
Abdalla, O.S., J. Crossa, E. Autrique & I.H. DeLacy, 1996. Relationships among international testing sites of spring durum wheat. Crop Sci 36: 33–40.
Barreto, H.J., G.O. Edmeades, S.C. Chapman & J. Crossa, 1997. The alpha lattice design in plant breeding and agronomy: generation and analysis. In: G.O. Edmeades, M. Banziger, H.R. Mickelson & C.B. Peña-Valdivia (Eds.), Developing Drought- and Low N-Tolerant Maize: Proceedings of a Symposium, pp. 25–29. Mexico, D.F.: CIMMYT.
Brennan, P.S. & J.A. Sheppard, 1985. Retrospective assessment of environments in the determination of an objective strategy for the evaluation of the relative yield of wheat cultivars. Euphytica 34: 397–408.
Byth, D.E., R.L. Eisemann & I.H. DeLacy, 1976. Two-way pattern analysis of a large data set to evaluate genotypic adaptation. Heredity 37: 215–230.
Cooper, M., D.E. Byth & D.R. Woodruff, 1994. A preliminary investigation of the grain yield adaptation of advanced CIMMYT wheat cultivars to water stress environments in Queensland 2. Classification analysis. Aust J Agric Res 45: 985–1002.
Cooper, M., P.S. Brennan & J.A. Sheppard, 1996. A strategy for yield improvement of wheat which accommodates large genotype-by-environment interactions. In: M. Cooper & G.L. Hammer (Eds.) Plant Adaptation and Crop Improvement, pp. 487-511. CAB International/IRRI/ICRISAT: Wallingford.
Crossa, J. Rong-Cai Yang & P.L. Cornelius, 2004. Studying crossover genotypes x environment interaction using linear-bilinear models and mixed models. Journal of Agricultural, Biological, and Environmental Statistics 9: 362–380.
DeLacy, I.H., K.E. Basford, M. Cooper, J.K. Bull & C.G. McLaren, 1996. Analysis of multi-environment trials: An historical perspective. In: M. Cooper &G.L. Hammer (Eds.), Plant Adaptation and Crop Improvement, pp. 39–124. CAB International/IRRI/ICRISAT: Wallingford.
Eisemann, R.L., M. Cooper & D.R. Woodruff, 1990. Beyond analytical methodology –better interpretation and exploration of genotype-by-environment interaction in breeding. In: M.S. Kang (Eds.), Genotype-by-Environment Interaction and Plant Breeding, pp. 108–117. Louisiana State University, Baton Rouge, Louisiana.
Fox, P.N. & A.A. Rosielle, 1982. Reducing the influence of environmental main-effects on pattern analysis of plant breeding environments. Euphytica 31: 645–656.
Gabriel, K.R., 1971. The bi-plot-graphical display of matrices with application to principal component analysis. Biometrika 58: 453–467.
Gauch, H.G. & R.W. Zobel, 1997. Identifying mega-environments and targeting genotypes. Crop Sci 37: 311–326.
Gilmour, A.R., B.R. Cullis & A.P. Verbyla, 1997. Accounting for natural and extraneous variation in the analysis of field experiments. J Agric Bio Env Statist 2: 269–293.
He, Z.H. & S.Rajaram (Eds.), 1997. China/CIMMYT Collaboration on Wheat Breeding and Germplasm Exchange: Results of 10 Years of Shuttle Breeding (1984-94). Wheat Spec-ial Report No.46. Mexico, D.F.: CIMMYT.
He, Z.H., S. Rajaram, Z.Y. Xin & G.Z. Huang (Eds.), 2001. A History of Wheat Breeding in China. Mexico, D.F.: CIMMYT.
Kang, M.S., 1998. Using genotype-by-environment interaction for crop cultivar development. Adv Agronomy 62: 199–252.
Kempton, R.A., 1984. The use of bi-plots in interpreting variety by environment interactions. J Agric Sci 103: 123–135.
Lillemo, M., M. van Ginkel, R.M. Trethowan, E. Hernandez & S. Rajaram, 2004. Associations among international CIMMYT bread wheat yield testing locations in high rainfall areas and their implications for wheat breeding. Crop Sci 44: 1163–1169.
Rajaram, S., M. Van Ginkel & R.A. Fischer, 1995. CIMMYT's wheat breeding mega-environments (ME). In: Z.S. Li & Z.Y. Zin (Eds.), Proc 8th Int Wheat Genet Symp, pp. 1101–1106. China Agricultural Scientech Press, Beijing, China.
Redden, R.J., I.H. DeLacy, D.G. Butler & T. Usher, 2000. Analysis of line by environment interactions for yield in navy beans. 2. Pattern analysis of cultivars and environment within years. Aust J Agric Res 51: 607–617.
Trethowan, R.M., J. Crossa, M. van Ginkel & S. Rajaram, 2001. Relationships among bread wheat international yield testing locations in dry areas. Crop Sci 41: 1461–1469.
Trethowan, R.M., M. van Ginkel & S. Rajaram, 2002. Progress in breeding wheat for yield and adaptation in global drought affected environments. Crop Sci 42: 1441–1446.
Trethowan, R.M., M. van Ginkel, K. Ammar, J. Crossa, T.S. Payne, B. Cukadar, S. Rajaram & E. Hernandez, 2003. Associations among twenty years of international bread wheat yield evaluation environments. Crop Sci 43: 1698–1711.
Wang F.H, X.Q. Wang & K.D. Sayre, 2004. Comparison of conventional, flood irrigated, flat planting with furrow irrigated, raised bed planting for winter wheat in China. Field Crops Res 87: 35–42.
Ward, J.H., 1963. Hierarchical grouping to optimize an objective function. J Amer Static Assoc 58: 236–244.
Williams, W.T., 1976. Pattern Analysis in Agricultural Science. Elsevier Scientific Publishing Company, Amsterdam.
Zhuang Q.S. (Eds.), 2003. Chinese Wheat Breeding and Pedigree Analysis. China Agriculture Press, Beijing, China.
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Zhang, Y., He, Z., Zhang, A. et al. Pattern analysis on grain yield performance of Chinese and CIMMYT spring wheat cultivars sown in China and CIMMYT. Euphytica 147, 409–420 (2006). https://doi.org/10.1007/s10681-005-9038-7
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DOI: https://doi.org/10.1007/s10681-005-9038-7