Mapping QTL for Agronomic Traits on Wheat Chromosome 3A and a Comparison of Recombinant Inbred Chromosome Line Populations

被引:29
作者
Ali, M. Liakat [3 ]
Baenziger, P. Stephen [1 ]
Al Ajlouni, Zakaria [4 ]
Campbell, B. Todd [5 ]
Gill, K. S. [6 ]
Eskridge, K. M. [2 ]
Mujeeb-Kazi, A. [7 ]
Dweikat, Ismail [1 ]
机构
[1] Univ Nebraska, Dep Agron & Hort, Lincoln, NE 68583 USA
[2] Univ Nebraska, Dep Stat, Lincoln, NE 68583 USA
[3] Univ Arkansas, Rice Res & Ext Cent, Stuttgart, AR 72160 USA
[4] Jordan Univ Sci & Technol, Dep Plant Prod, Irbid 22110, Jordan
[5] ARS, USDA, Costal Plains Res Cent, Florence, SC 29501 USA
[6] Washington State Univ, Dep Crop & Soil Sci, Pullman, WA 99164 USA
[7] Natl Inst Biotechnol & Genet Eng NIBGE, Faisalabad, Pakistan
关键词
TRITICUM-AESTIVUM L; BY-ENVIRONMENT INTERACTION; YIELD-RELATED TRAITS; GRAIN-YIELD; BREAD WHEAT; SUBSTITUTION LINES; X ENVIRONMENT; LINKAGE MAPS; COMMON WHEAT; GENETIC-MAP;
D O I
10.2135/cropsci2010.06.0359
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Variation for wheat (Triticum aestivum L.) grain yield and agronomic traits was used to map quantitative trait loci (QTL) in a 'Cheyenne' (CNN) x [CNN ('Wichita' 3A)] recombinant inbred chromosome line (RICL) population consisting of 223 CNN(RICLs3A) and 7 check cultivars that were evaluated in six environments in Nebraska during 2005-2007. A chromosome 3A linkage map spanning 106 cM was constructed using 32 microsatellite markers. Composite interval mapping detected 19 QTL for seven agronomic traits that individually accounted for 4.6 to 16.8% of the phenotypic variation. Three small genomic segments, spanning 3.4, 5.3, and 5.3 cM, contained most of the QTL. Two yield QTL were detected in two environments and in data pooled over environments. For grain volume weight, a QTL was detected in five of the six environments while a plant height QTL was detected in all environments. Wichita (WI) alleles contributed to the increased trait values for yield, spikes per square meter, and grain volume weight, while CNN contributed alleles to the increased 1000-kernel weight, plant height, and anthesis date. Both CNN and WI contained alleles for increased number of kernels per spike. The 223 CNN(RICLs3A) set had greater power to detect QTL than the two smaller subsets-128 CNN(RICLs3A) developed using doubled haploids and 95 CNN(RICLs3A) developed using recombinant monosomic lines. Neither of the subsets performed consistently better than the other in detecting QTL.
引用
收藏
页码:553 / 566
页数:14
相关论文
共 60 条
[1]  
Arumuganathan K., 1991, Plant Mol Biol Rep, V9, P208, DOI [10.1007/BF02672069, DOI 10.1007/BF02672069]
[2]   CHROMOSOMAL LOCATION OF WHEAT QUANTITATIVE TRAIT LOCI AFFECTING STABILITY OF 6 TRAITS, USING RECIPROCAL CHROMOSOME SUBSTITUTIONS [J].
BERKE, TG ;
BAENZIGER, PS ;
MORRIS, R .
CROP SCIENCE, 1992, 32 (03) :628-633
[3]   CHROMOSOMAL LOCATION OF WHEAT QUANTITATIVE TRAIT LOCI AFFECTING AGRONOMIC PERFORMANCE OF 7 TRAITS, USING RECIPROCAL CHROMOSOME SUBSTITUTIONS [J].
BERKE, TG ;
BAENZIGER, PS ;
MORRIS, R .
CROP SCIENCE, 1992, 32 (03) :621-627
[4]   What proportion of declared QTL in plants are false? [J].
Bernardo, R .
THEORETICAL AND APPLIED GENETICS, 2004, 109 (02) :419-424
[5]   Mapping QTL controlling yield and yield components in a spring barley (Hordeum vulgare L) cross using marker regression [J].
Bezant, J ;
Laurie, D ;
Pratchett, N ;
Chojecki, J ;
Kearsey, M .
MOLECULAR BREEDING, 1997, 3 (01) :29-38
[6]   Comparative molecular mapping of GA insensitive Rht loci on chromosomes 4B and 4D of common wheat (Triticum aestivum L.) [J].
Borner, A ;
Roder, M ;
Korzun, V .
THEORETICAL AND APPLIED GENETICS, 1997, 95 (07) :1133-1137
[7]   Mapping QTL for seed protein and oil content in eight soybean populations [J].
Brummer, EC ;
Graef, GL ;
Orf, J ;
Wilcox, JR ;
Shoemaker, RC .
CROP SCIENCE, 1997, 37 (02) :370-378
[8]   Using environmental covariates to explain genotype x environment and QTL x environment interactions for agronomic traits on chromosome 3A of wheat [J].
Campbell, BT ;
Baenziger, PS ;
Eskridge, KM ;
Budak, H ;
Streck, NA ;
Weiss, A ;
Gill, KS ;
Erayman, M .
CROP SCIENCE, 2004, 44 (02) :620-627
[9]   Identification of QTLs and environmental interactions associated with agronomic traits on chromosome 3A of wheat [J].
Campbell, BT ;
Baenziger, PS ;
Gill, KS ;
Eskridge, KM ;
Budak, H ;
Erayman, M ;
Dweikat, I ;
Yen, Y .
CROP SCIENCE, 2003, 43 (04) :1493-1505
[10]  
CHURCHILL GA, 1994, GENETICS, V138, P963