Estimation and utilisation of glutenin gene effects from the analysis of unbalanced data from wheat breeding programs

被引:77
作者
Eagles, HA
Hollamby, GJ
Gororo, NN
Eastwood, RF
机构
[1] Nat Resources & Environm Horsham, Victorian Inst Dryland Agr, Horsham, Vic 3401, Australia
[2] Victorian Inst Dryland Agr, CRC Mol Plant Breeding, Horsham, Vic 3401, Australia
来源
AUSTRALIAN JOURNAL OF AGRICULTURAL RESEARCH | 2002年 / 53卷 / 04期
关键词
dough rheology; REML; Rmax; extensibility; epistasis; flour protein;
D O I
10.1071/AR01074
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Glutenins are a major determinant of dough characteristics in wheat. These proteins are determined by genes at 6 loci (Glu genes), with multiple alleles present in most breeding programs. This study was conducted to determine whether estimates of allele effects for the important dough rheological characters, maximum dough resistance (Rmax) and dough extensibility, could be determined from aggregated data from southern Australian wheat breeding programs using statistical techniques appropriate for unbalanced data. From a 2-stage analysis of 3226 samples of 1926 cultivars and breeding lines, estimates of Rmax and extensibility effects were obtained, first for the lines, and then for 31 glutenin alleles. Glutenin genes did not determine flour protein concentration, and this character was used as a covariate. Rankings of the estimates of Rmax for the alleles were similar to the relative scores for dough strength reported from previous studies, providing strong evidence that the analysis of a large, unbalanced data set from applied wheat breeding programs can provide reliable estimates. All 2-way interactions between loci were present for 18 of the alleles. Analyses including interactions showed that epistasis was important for both Rmax and extensibility, especially between the Glu-B1 locus coding for high molecular weight glutenins and the Glu-A3 and Glu-B3 loci coding for low molecular weight glutenins. Because of the complexity of these interactions, similar values of Rmax and extensibility were predicted for diverse combinations of alleles. This implied that the practical application of glutenin genes in applied wheat breeding would be greatly enhanced by computer software which can predict dough rheology characteristics from glutenin allele classifications.
引用
收藏
页码:367 / 377
页数:11
相关论文
共 52 条
[41]   QU-GENE: a simulation platform for quantitative analysis of genetic models [J].
Podlich, DW ;
Cooper, M .
BIOINFORMATICS, 1998, 14 (07) :632-653
[42]   AN ASSESSMENT OF THE SDS-SEDIMENTATION TEST FOR THE PREDICTION OF CANADIAN BREAD WHEAT QUALITY [J].
PRESTON, KR ;
MARCH, PR ;
TIPPLES, KH .
CANADIAN JOURNAL OF PLANT SCIENCE, 1982, 62 (03) :545-553
[43]   RELATIONSHIP BETWEEN THE HIGH M(R) SUBUNITS OF GLUTENIN OF SOUTH-AFRICAN WHEATS AND END-USE QUALITY [J].
RANDALL, PG ;
MANLEY, M ;
MCGILL, AEJ ;
TAYLOR, JRN .
JOURNAL OF CEREAL SCIENCE, 1993, 18 (03) :251-258
[44]   Allelic variation at the storage protein loci of 55 US-grown white wheats [J].
Redaelli, R ;
Ng, PKW ;
Pogna, NE .
PLANT BREEDING, 1997, 116 (05) :429-436
[45]  
RodriguezOuijano M, 1996, EUPHYTICA, V91, P141
[46]   LINKAGE RELATIONSHIPS BETWEEN PROLAMIN GENES ON CHROMOSOME-1A AND CHROMOSOME-1B OF DURUM-WHEAT [J].
RUIZ, M ;
CARRILLO, JM .
THEORETICAL AND APPLIED GENETICS, 1993, 87 (03) :353-360
[47]   SEPARATE EFFECTS ON GLUTEN STRENGTH OF GLI-1 AND GLU-3 PROLAMIN GENES ON CHROMOSOMES 1A AND 1B IN DURUM-WHEAT [J].
RUIZ, M ;
CARRILLO, JM .
JOURNAL OF CEREAL SCIENCE, 1995, 21 (02) :137-144
[48]   HIGH-MOLECULAR-WEIGHT SUBUNITS OF WHEAT GLUTENIN [J].
SHEWRY, PR ;
HALFORD, NG ;
TATHAM, AS .
JOURNAL OF CEREAL SCIENCE, 1992, 15 (02) :105-120
[49]  
Skeritt J. H., 1998, AgBiotech News and Information, V10, p247N
[50]   The analysis of designed experiments and longitudinal data by using smoothing splines [J].
Verbyla, AP ;
Cullis, BR ;
Kenward, MG ;
Welham, SJ .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 1999, 48 :269-300