QTLs associated with agronomic traits in the Attila × CDC Go spring wheat population evaluated under conventional management.
Recently, we investigated the effect of the wheat 90K single nucleotide polymorphic (SNP) array and three gene-specific (Ppd-D1, Vrn-A1 and Rht-B1) markers on quantitative trait loci (QTL) detection in a recombinant inbred lines (RILs) population derived from a cross between two spring wheat (Triticum aestivum L.) cultivars, 'Attila' and 'CDC Go', and evaluated for eight agronomic traits at three environments under organic management. The objectives of the present study were to investigate the effect of conventional management on QTL detection in the same mapping population using the same set of markers as the organic management and compare the results with organic management. Here, we evaluated 167 RILs for number of tillers (tillering), flowering time, maturity, plant height, test weight (grain volume weight), 1000 kernel weight, grain yield, and grain protein content at seven conventionally managed environments from 2008 to 2014. Using inclusive composite interval mapping (ICIM) on phenotypic data averaged across seven environments and a subset of 1203 informative markers (1200 SNPs and 3 gene specific markers), we identified a total of 14 QTLs associated with flowering time (1), maturity (2), plant height (1), grain yield (1), test weight (2), kernel weight (4), tillering (1) and grain protein content (2). Each QTL individually explained from 6.1 to 18.4% of the phenotypic variance. Overall, the QTLs associated with each trait explained from 9.7 to 35.4% of the phenotypic and from 22.1 to 90.8% of the genetic variance. Three chromosomal regions on chromosomes 2D (61-66 cM), 4B (80-82 cM) and 5A (296-297 cM) harbored clusters of QTLs associated with two to three traits. The coincidental region on chromosome 5A harbored QTL clusters for both flowering and maturity time, and mapped about 2 cM proximal to the Vrn-A1 gene, which was in high linkage disequilibrium (0.70 ≤ r2 ≤ 0.75) with SNP markers that mapped within the QTL confidence interval. Six of the 14 QTLs (one for flowering time and plant height each, and two for maturity and kernel weight each) were common between the conventional and organic management systems, which suggests issues in directly utilizing gene discovery results based on conventional management to make in detail selection (decision) for organic management.
Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Canada.
Jun
J
Zou
Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Canada.
Kassa
http://orcid.org/0000-0001-6486-5685
K
Semagn
Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Canada.|National Institute for Genomics and Advanced Biotechnology, National Agricultural Research Centre, Islamabad, Pakistan.
Muhammad
M
Iqbal
Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Canada.
Hua
H
Chen
Department of Agronomy, 2004 Throckmorton Plant Science Center, Kansas State University, Manhattan, Kansas, United States of America.|Heartland Plant Innovations, Kansas Wheat Innovation Center, Manhattan, Kansas, United States of America.
Mohammad
M
Asif
Crop Development Centre and Department of Plant Sciences, University of Saskatchewan, Saskatoon, Canada.
Amidou
A
N'Diaye
Department of Plant Agriculture, University of Guelph, Guelph, Ontario, Canada.
Alireza
A
Navabi
Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Canada.
Enid
E
Perez-Lara
Crop Development Centre and Department of Plant Sciences, University of Saskatchewan, Saskatoon, Canada.
Curtis
C
Pozniak
Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Canada.|Alberta Agriculture and Forestry, St. Edmonton, Alberta, Canada.
Rong-Cai
RC
Yang
Agriculture and Agri-Food Canada, Lethbridge, Alberta, Canada.
Harpinder
H
Randhawa
Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Canada.
Dean
D
Spaner
D000383:Agriculture; D032461:Chromosomes, Plant; D003433:Crosses, Genetic; D017343:Genes, Plant; D005819:Genetic Markers; D010641:Phenotype; D020641:Polymorphism, Single Nucleotide; D040641:Quantitative Trait Loci; D011995:Recombination, Genetic; D014908:Triticum / Q000235:genetics* / Q000254:growth & development
D005819:Genetic Markers