메뉴 건너뛰기




Volumn 44, Issue 4, 1998, Pages 239-245

Applying the AMMI models to understand genotype-by-environment (G E) interactions in rice reaction to blast disease in Africa

Author keywords

G E Ammi; Inger Africa; Rice Blast

Indexed keywords

DISEASE RESISTANCE; GENOTYPE; MODELING; RICE;

EID: 0032461518     PISSN: 09670874     EISSN: 13665863     Source Type: Journal    
DOI: 10.1080/096708798228167     Document Type: Article
Times cited : (16)

References (16)
  • 1
    • 0344103641 scopus 로고
    • Reaction of rice genotypes of different origins and genealogy to blast (Bl) disease in nigeria
    • ABAMU, F. J., ALLURI, K., and SESHU, D.V., 1992. Reaction of rice genotypes of different origins and genealogy to blast (BL) disease in Nigeria. International Rice Research Notes (IRRN), 17, 10-11.
    • (1992) International Rice Research Notes (IRRN) , vol.17 , pp. 10-11
    • Abamu, F.J.1    Alluri, K.2    Seshu, D.V.3
  • 3
    • 84952126969 scopus 로고
    • The biplot as a diagnostic tool for models of two-way tables
    • BRADU, D. and GABRIEL, K. R., 1978. The biplot as a diagnostic tool for models of two-way tables. Technometrics, 20, 47-68.
    • (1978) Technometrics , vol.20 , pp. 47-68
    • Bradu, D.1    Gabriel, K.R.2
  • 6
    • 0001102880 scopus 로고
    • Statistical analysis of yield trials with matmodel
    • GAUCH, H. G. Jr and FURNAS, R. E., 1991. Statistical analysis of yield trials with MATMODEL. Agronomy Journal, 83, 916-920.
    • (1991) Agronomy Journal , vol.83 , pp. 916-920
    • Gauch, H.G.1    Furnas, R.E.2
  • 7
    • 0014265599 scopus 로고
    • A statistical model which combines features of factor analytic and analysis of variance techniques
    • GOLLOB, H. F., 1968. A statistical model which combines features of factor analytic and analysis of variance techniques. Psychomelrika, 33, 73- 115.
    • (1968) Psychomelrika , vol.33
    • Gollob, H.F.1
  • 8
    • 0003763699 scopus 로고
    • Manila: IRRI
    • IRRI (International Rice Research Institute), 1988. Standard Evaluation System forRice (Manila: IRRI), pp. 54.
    • (1988) Standard Evaluation System Forrice , pp. 54
  • 10
    • 0001363964 scopus 로고
    • The use of biplots in interpreting variety by environment interactions
    • KEMPTON, R. A., 1984. The use of biplots in interpreting variety by environment interactions. Journal of Agricultural Science, 103, 123-135.
    • (1984) Journal of Agricultural Science , vol.103 , pp. 123-135
    • Kempton, R.A.1
  • 11
    • 84950963050 scopus 로고
    • A new analysis of variance model for non-additive data
    • MANDEL, J., 1971. A new analysis of variance model for non-additive data. Technometrics, 13, 1-18.
    • (1971) Technometrics , vol.13 , pp. 1-18
    • Mandel, J.1
  • 12
    • 0004080812 scopus 로고
    • 2nd edition (Kew: Commonwealth Mycological Institute)
    • OU, S. H., 1985. Rice Diseases, 2nd edition (Kew: Commonwealth Mycological Institute), pp. 380.
    • (1985) Rice Diseases , pp. 380
    • Ou, S.H.1
  • 13
    • 54149110345 scopus 로고
    • North Carolina: SAS Institute Inc.)
    • SAS, 1995. SAS/STAT User's Guide (North Carolina: SAS Institute Inc.).
    • (1995) SAS/STAT User's Guide
  • 14
  • 15
    • 0343936982 scopus 로고
    • M.S. Kang (ed) Genotype-By-Environment Interaction and Plant Breeding (Louisiana: Louisiana State University Agricultural Centre)
    • ZOBEL, R. W., 1990. A powerful statistical model for understanding genotype-by-environment interaction. In M.S. Kang (ed) Genotype-By-Environment Interaction and Plant Breeding (Louisiana: Louisiana State University Agricultural Centre), pp. 126- 140.
    • (1990) A Powerful Statistical Model for Understanding Genotype-By-Environment Interaction
    • Zobel, R.W.1
  • 16


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.