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Theor Appl Genet. 2015 Nov;128(11):2227-42. doi: 10.1007/s00122-015-2580-3. Epub 2015 Jul 19.

Identification of milling and baking quality QTL in multiple soft wheat mapping populations.

Author information

1
Department of Horticulture and Crop Science, The Ohio State University and the Ohio Agriculture Research and Development Center, 1680 Madison Ave, Wooster, OH, 44691, USA. cabrera.16@buckeyemail.osu.edu.
2
Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Kein Hall, Lincoln, NE, 68583-0915, USA.
3
BHN Research, P. O. Box 3267, Immokalee, FL, 34143, USA.
4
Bayer Crop Science LP, 202 Keim Hall, Lincoln, NE, USA.
5
Soft Wheat Quality Laboratory, USDA Agricultural Research Service, Wooster, OH, 44691, USA.
6
Department of Horticulture and Crop Science, The Ohio State University and the Ohio Agriculture Research and Development Center, 1680 Madison Ave, Wooster, OH, 44691, USA.
7
Department of Crop and Soil Environmental Sciences, Virginia Polytechnic Institute, State University, Blacksburg, VA, 24061, USA.
8
Limagrain Cereal Seeds LLC, 6414 N Sheridian, Wichita, KS, 67204, USA.
9
Department of Crop Science, North Carolina State University, Campus Box 7620, Raleigh, NC, 27695-7620, USA.
10
Department of Agronomy, Purdue University, 915 West State Street, West Lafayette, IN, 47907, USA.
11
Pioneer HiBreed International, INC., Windfall, IN, USA.
12
Department of Plant Breeding and Genetics, Cornell University, Ithaca, NY, 14853, USA.
13
DuPont Pioneer Hi Bred International Inc, Des Moines, IA, 50316, USA.
14
USDA-ARS, North Carolina State University, Raleigh, NC, 27695, USA.
15
Department of Plant and Soil Sciences, University of Kentucky, Lexington, KY, 40546, USA.
16
Department of Horticulture and Crop Science, The Ohio State University and the Ohio Agriculture Research and Development Center, 1680 Madison Ave, Wooster, OH, 44691, USA. sneller.5@osu.edu.

Abstract

Two mapping approaches were use to identify and validate milling and baking quality QTL in soft wheat. Two LG were consistently found important for multiple traits and we recommend the use marker-assisted selection on specific markers reported here. Wheat-derived food products require a range of characteristics. Identification and understanding of the genetic components controlling end-use quality of wheat is important for crop improvement. We assessed the underlying genetics controlling specific milling and baking quality parameters of soft wheat including flour yield, softness equivalent, flour protein, sucrose, sodium carbonate, water absorption and lactic acid, solvent retention capacities in a diversity panel and five bi-parental mapping populations. The populations were genotyped with SSR and DArT markers, with markers specific for the 1BL.1RS translocation and sucrose synthase gene. Association analysis and composite interval mapping were performed to identify quantitative trait loci (QTL). High heritability was observed for each of the traits evaluated, trait correlations were consistent over populations, and transgressive segregants were common in all bi-parental populations. A total of 26 regions were identified as potential QTL in the diversity panel and 74 QTL were identified across all five bi-parental mapping populations. Collinearity of QTL from chromosomes 1B and 2B was observed across mapping populations and was consistent with results from the association analysis in the diversity panel. Multiple regression analysis showed the importance of the two 1B and 2B regions and marker-assisted selection for the favorable alleles at these regions should improve quality.

PMID:
26188588
DOI:
10.1007/s00122-015-2580-3
[Indexed for MEDLINE]

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