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Volumn 60, Issue 12, 2009, Pages 1202-1208

Improving the accuracy of selection for late maturity α-amylase in wheat using multi-phase designs

Author keywords

[No Author keywords available]

Indexed keywords

ENZYME; ESTIMATION METHOD; GENETIC VARIATION; GERMPLASM; HERITABILITY; MATURATION; PHENOTYPE; SIMULATION; STATISTICAL ANALYSIS; WHEAT;

EID: 71049162119     PISSN: 18360947     EISSN: None     Source Type: Journal    
DOI: 10.1071/CP09124     Document Type: Article
Times cited : (11)

References (13)
  • 2
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    • Butler DG, Eccleston JA, Cullis BR (2008) On an approximate optimality criterion for the design of field experiments under spatial dependence. Australian and New Zealand Journal of Statistics 50, 295-307. doi: 10.1111/j.1467-842X.2008.00518.x
    • (2008) Australian and New Zealand Journal of Statistics , vol.50 , pp. 295-307
    • Butler, D.G.1    Eccleston, J.A.2    Cullis, B.R.3
  • 3
    • 0141687248 scopus 로고    scopus 로고
    • On the construction of nearest-neighbour balanced row-column designs
    • doi: 10.1111/1467-842X.00263
    • Chan BSP, Eccleston JA (2003) On the construction of nearest-neighbour balanced row-column designs. Australian and New Zealand Journal of Statistics 45, 97-106. doi: 10.1111/1467-842X.00263
    • (2003) Australian and New Zealand Journal of Statistics , vol.45 , pp. 97-106
    • Chan, B.S.P.1    Eccleston, J.A.2
  • 7
    • 0007805056 scopus 로고
    • Design and analysis of two-phase experiments
    • doi: 10.2307/3001770
    • McIntyre GA (1955) Design and analysis of two-phase experiments. Biometrics 11, 324-334. doi: 10.2307/3001770
    • (1955) Biometrics , vol.11 , pp. 324-334
    • McIntyre, G.A.1
  • 8
    • 0035048340 scopus 로고    scopus 로고
    • Induction of late maturity α-amylase in wheat by cool temperature
    • DOI 10.1071/AR00097
    • Mrva K, Mares DJ (2001) Induction of late maturity a-amylase in wheat by cool temperature. Australian Journal of Agricultural Research 52, 477-484. doi: 10.1071/AR00097 (Pubitemid 32329004)
    • (2001) Australian Journal of Agricultural Research , vol.52 , Issue.4 , pp. 477-484
    • Mrva, K.1    Mares, D.J.2
  • 9
    • 34248389703 scopus 로고    scopus 로고
    • Joint modeling of additive and non-additive (genetic line) effects in multi-environment trials
    • DOI 10.1007/s00122-007-0515-3
    • Oakey H, Verbyla AP, Cullis BR, Wei X, Pitchford WS (2007) Joint modelling of additive and non-additive (genetic line) effects in multienvironment trials. Theoretical and Applied Genetics 114, 1319-1332. doi: 10.1007/s00122-007-0515-3 R (Pubitemid 46733375)
    • (2007) Theoretical and Applied Genetics , vol.114 , Issue.8 , pp. 1319-1332
    • Oakey, H.1    Verbyla, A.P.2    Cullis, B.R.3    Wei, X.4    Pitchford, W.S.5
  • 10
    • 5344244656 scopus 로고    scopus 로고
    • Development Core Team (R Foundation for Statistical Computing: Vienna, Austria)
    • Development Core Team (2008) 'R: A Language and Environment for Statistical Computing.' (R Foundation for Statistical Computing: Vienna, Austria)
    • (2008) R: A Language and Environment for Statistical Computing
  • 11
    • 33750345202 scopus 로고    scopus 로고
    • The design and analysis of multi-phase plant breeding experiments
    • DOI 10.1017/S0021859606006319, PII S0021859606006319
    • Smith AB, Lim P, Cullis BR (2006) The design and analysis of multi-phase plant breeding experiments. Journal of Agricultural Science 144, 393-409. doi: 10.1017/S0021859606006319 (Pubitemid 44622868)
    • (2006) Journal of Agricultural Science , vol.144 , Issue.5 , pp. 393-409
    • Smith, A.B.1    Lim, P.2    Cullis, B.R.3
  • 13
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    • Symbolic description of factorial models for analysis of variance
    • doi: 10.2307/(2346786
    • Wilkinson GN, Rogers CE (1973) Symbolic description of factorial models for analysis of variance. Applied Statistics 22, 392-399. doi: 10.2307/2346786
    • (1973) Applied Statistics , vol.22 , pp. 392-399
    • Wilkinson, G.N.1    Rogers, C.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.