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The analysis of the NSW wheat variety database. II. Variance component estimation

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Abstract

The efficiency of various trialling systems for wheat variety evaluation in New South Wales (NSW) is considered. This involved the estimation of the variance components due to genotype, genotype-by-year, genotype-by-location and genotype-by-year-by-location. It is shown that there is a significant reduction in the magnitude of these variance components by the inclusion of the interaction of genotype maturity, winter habit and aluminium tolerance with environment.

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References

  • Basford KE (1982) The use of multidimensional scaling in analysing multi-attribute genotype response across environments. Aust J Agric Res 33:473–480

    Google Scholar 

  • Becker RA, Chambers JM, Wilks AR (1988) The new S language. Wadsworth and Brooks/Cole, London

    Google Scholar 

  • Brennan JP (1988) An economic investigation of wheat breeding programmes. Agricultural Economics Bulletin No. 35. Department of Agricultural Economics and Business Management, University of New England, Australia

    Google Scholar 

  • Brennan PS, Byth DE (1979) Genotype x environment interactions in wheat yields and selection for widely adapted wheat genotypes. J Agric Sci 30:221–232

    Google Scholar 

  • Brennan PS, Shepherd JA (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

    Google Scholar 

  • Brennan PS, Byth DE, Drake DW, De Lacy IH, Butler DG (1981) Determination of the location and number of test environments for a wheat cultivar evaluation programme. Euphytica 32:183–201

    Google Scholar 

  • Cullis BR, Thomson FM, Fisher JA, Gilmour AR, Thompson R (1995) The analysis of the NSW wheat variety database. I. Modelling trial error variance. Theor Appl Genet

  • Gauch HG (1988) Model selection and validation for yield trials with interaction. Biometrics 44:705–715

    Google Scholar 

  • Gilmour AR, Thompson R, Cullis BR (1996) AI, an efficient algorithm for REML estimation in linear mixed models. Biometrics (in press)

  • Gollob HF (1968) A statistical model which combines features of factor analytic and analysis of variance techniques. Psychometrica 33:73–115

    Google Scholar 

  • Kempton RA (1984) The use of biplots in interpreting variety by environment interactions. J Agric Sci 103:123–135

    Google Scholar 

  • Krooneberg PM, Basford KE (1989) An investigation of multiattribute genotype response across environments using threemode principal component analysis. Euphytica 44:109–123

    Google Scholar 

  • Mungomery VE, Shorter R, Byth DE (1974) Genotype x environment interactions and environmental adaptation. I. Pattern analysis — application to soya bean populations. Aust J Agric Res 25:59–72

    Google Scholar 

  • Patterson HD, Thompson R (1971) Recovery of interblock information when block sizes are unequal. Biometrika 31:100–109

    Google Scholar 

  • Patterson HD, Silvey V, Talbot M, Weatherup STC (1977) Variability of yields of cereal varieties in UK trials. J Agric Sci 89:238–245

    Google Scholar 

  • Pederson DG, Rathjen AJ (1981) Choosing trial sites to maximize selection response for grain yield in spring wheat. Aust J Agric Res 32:411–424

    Google Scholar 

  • Pugsley AT (1973) Control of development patterns in wheat through breeding. In: Sears ER, Sears LMS (eds) Proc 4th Int Wheat Genet Symp. University of Missouri, Columbia, Mo., pp 857–879

    Google Scholar 

  • Scott BJ, Fisher JA (1989) Selection of genotypes tolerant of aluminium and manganese. In: Robson AD (ed), Soil acidity and plant growth. Academic Press, Sydney, pp 167–204

    Google Scholar 

  • Talbot M (1984) Yield variability of crop varieties in the UK. J Agric Sci 102:315–321

    Google Scholar 

  • Thomson NJ, Cunningham RB (1979) Genotype x environment interactions and evaluation of cotton cultivars. Aust J Agric Res 30:105–112

    Google Scholar 

  • Williams ER, Luckett DJ, Reid AE, Thomson NJ (1992) Comparison of locations used in cotton breeding trials. Aust J Exp Agric 32:739–746

    Google Scholar 

  • Zadoks JC, Chang TT, Konzak CF (1974) A decimal code for the growth stages of cereals. Weeds Res 14:415–421

    Google Scholar 

  • Zobel RW, Wright MJ, Gauch HG Jr (1988) Statistical analysis of a yield trial. Agron J 80:388–393

    Google Scholar 

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Communicated by G. Wenzel

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Cullis, B.R., Thomson, F.M., Fisher, J.A. et al. The analysis of the NSW wheat variety database. II. Variance component estimation. Theoret. Appl. Genetics 92, 28–39 (1996). https://doi.org/10.1007/BF00222948

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  • DOI: https://doi.org/10.1007/BF00222948

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