메뉴 건너뛰기




Volumn 60, Issue 3, 2011, Pages 437-455

The design and analysis of variety trials using mixtures of composite and individual plot samples

Author keywords

Composite samples; Mixed models; Multi environment trials; Spatial analysis

Indexed keywords


EID: 79954608594     PISSN: 00359254     EISSN: 14679876     Source Type: Journal    
DOI: 10.1111/j.1467-9876.2010.00755.x     Document Type: Article
Times cited : (9)

References (13)
  • 1
    • 36349035815 scopus 로고    scopus 로고
    • Analysis of mixed models for S language environments
    • Brisbane: Queensland Department of Primary Industries and Fisheries.
    • Butler, D. G., Cullis, B. R., Gilmour, A. R. and Gogel, B. J. (2007) Analysis of mixed models for S language environments. ASReml-R Reference Manual Release 2. Brisbane: Queensland Department of Primary Industries and Fisheries.
    • (2007) ASReml-R Reference Manual Release 2
    • Butler, D.G.1    Cullis, B.R.2    Gilmour, A.R.3    Gogel, B.J.4
  • 2
    • 33747745268 scopus 로고    scopus 로고
    • On the design of early generation variety trials with correlated data
    • Cullis, B. R., Smith, A. B. and Coombes, N. E. (2006) On the design of early generation variety trials with correlated data. J. Agric. Biol. Environ. Statist., 11, 381-393.
    • (2006) J. Agric. Biol. Environ. Statist. , vol.11 , pp. 381-393
    • Cullis, B.R.1    Smith, A.B.2    Coombes, N.E.3
  • 4
    • 4344583946 scopus 로고    scopus 로고
    • Efficiency of composite sampling for estimating a lognormal distribution
    • El-Baz, A. and Nayak, T. (2004) Efficiency of composite sampling for estimating a lognormal distribution. Environ. Ecol. Statist., 11, 283-294.
    • (2004) Environ. Ecol. Statist. , vol.11 , pp. 283-294
    • El-Baz, A.1    Nayak, T.2
  • 7
    • 0003613290 scopus 로고    scopus 로고
    • Construction of optimal and near-optimal designs for dependent observations using simulated annealing
    • Department of Probability and Statistics, University of Sheffield, Sheffield.
    • Martin, R. J. and Eccleston, J. (1997) Construction of optimal and near-optimal designs for dependent observations using simulated annealing. Research Report 479/97. Department of Probability and Statistics, University of Sheffield, Sheffield.
    • (1997) Research Report 479/97
    • Martin, R.J.1    Eccleston, J.2
  • 8
    • 34248389703 scopus 로고    scopus 로고
    • Joint modelling of additive and non-additive (genetic line) effects in multi-environment trials
    • Oakey, H., Verbyla, A., Cullis, B., Wei, X. and Pitchford, W. (2007) Joint modelling of additive and non-additive (genetic line) effects in multi-environment trials. Theor. Appl. Genet., 114, 1319-1332.
    • (2007) Theor. Appl. Genet. , vol.114 , pp. 1319-1332
    • Oakey, H.1    Verbyla, A.2    Cullis, B.3    Wei, X.4    Pitchford, W.5
  • 9
    • 5344244656 scopus 로고    scopus 로고
    • R Development Core Team Vienna: R Foundation for Statistical Computing.
    • R Development Core Team (2008) R: a Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing.
    • (2008) R: a Language and Environment for Statistical Computing
  • 10
    • 0035645784 scopus 로고    scopus 로고
    • The analysis of crop variety evaluation data in Australia
    • Smith, A. B., Cullis, B. R. and Gilmour, A. (2001a) The analysis of crop variety evaluation data in Australia. Aust. New Zeal. J. Statist., 43, 129-145.
    • (2001) Aust. New Zeal. J. Statist. , vol.43 , pp. 129-145
    • Smith, A.B.1    Cullis, B.R.2    Gilmour, A.3
  • 11
    • 0035181008 scopus 로고    scopus 로고
    • Analyzing variety by environment data using multiplicative mixed models and adjustments for spatial field trend
    • Smith, A. B., Cullis, B. R. and Thompson, R. (2001b) Analyzing variety by environment data using multiplicative mixed models and adjustments for spatial field trend. Biometrics, 57, 1138-1147.
    • (2001) Biometrics , vol.57 , pp. 1138-1147
    • Smith, A.B.1    Cullis, B.R.2    Thompson, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.