Literature DB >> 26188588

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

Antonio Cabrera1, Mary Guttieri2, Nathan Smith3, Edward Souza4, Anne Sturbaum5, Duc Hua6, Carl Griffey7, Marla Barnett8, Paul Murphy9, Herb Ohm10, Jim Uphaus11, Mark Sorrells12, Elliot Heffner13, Gina Brown-Guedira14, David Van Sanford15, Clay Sneller16.   

Abstract

KEY MESSAGE: 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.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26188588     DOI: 10.1007/s00122-015-2580-3

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  20 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

Review 2.  Cereal seed storage proteins: structures, properties and role in grain utilization.

Authors:  Peter R Shewry; Nigel G Halford
Journal:  J Exp Bot       Date:  2002-04       Impact factor: 6.992

3.  TASSEL: software for association mapping of complex traits in diverse samples.

Authors:  Peter J Bradbury; Zhiwu Zhang; Dallas E Kroon; Terry M Casstevens; Yogesh Ramdoss; Edward S Buckler
Journal:  Bioinformatics       Date:  2007-06-22       Impact factor: 6.937

4.  The genetic control of milling yield, dough rheology and baking quality of wheat.

Authors:  H Kuchel; P Langridge; L Mosionek; K Williams; S P Jefferies
Journal:  Theor Appl Genet       Date:  2006-03-21       Impact factor: 5.699

5.  Nonstarch polysaccharides in wheat flour wire-cut cookie making.

Authors:  Mary J Guttieri; Edward J Souza; Clay Sneller
Journal:  J Agric Food Chem       Date:  2008-11-26       Impact factor: 5.279

6.  Mapping QTLs with main and epistatic effects underlying grain yield and heading time in soft winter wheat.

Authors:  Jochen C Reif; Hans P Maurer; Viktor Korzun; Erhard Ebmeyer; T Miedaner; Tobias Würschum
Journal:  Theor Appl Genet       Date:  2011-04-08       Impact factor: 5.699

7.  Association mapping for quality traits in soft winter wheat.

Authors:  Jochen C Reif; Manje Gowda; Hans P Maurer; C F H Longin; Viktor Korzun; Erhard Ebmeyer; Reiner Bothe; Christof Pietsch; Tobias Würschum
Journal:  Theor Appl Genet       Date:  2010-12-14       Impact factor: 5.699

8.  A high-density microsatellite consensus map for bread wheat (Triticum aestivum L.).

Authors:  Daryl J Somers; Peter Isaac; Keith Edwards
Journal:  Theor Appl Genet       Date:  2004-07-29       Impact factor: 5.699

9.  The wheat (T. aestivum) sucrose synthase 2 gene (TaSus2) active in endosperm development is associated with yield traits.

Authors:  Qiyan Jiang; Jian Hou; Chenyang Hao; Lanfen Wang; Hongmei Ge; Yushen Dong; Xueyong Zhang
Journal:  Funct Integr Genomics       Date:  2010-09-04       Impact factor: 3.410

10.  Association mapping and validation of QTLs for flour yield in the soft winter wheat variety Kitahonami.

Authors:  Goro Ishikawa; Kazuhiro Nakamura; Hiroyuki Ito; Mika Saito; Mikako Sato; Hironobu Jinno; Yasuhiro Yoshimura; Tsutomu Nishimura; Hidekazu Maejima; Yasushi Uehara; Fuminori Kobayashi; Toshiki Nakamura
Journal:  PLoS One       Date:  2014-10-31       Impact factor: 3.240

View more
  9 in total

1.  Genome-wide association studies for yield-related traits in soft red winter wheat grown in Virginia.

Authors:  Brian P Ward; Gina Brown-Guedira; Frederic L Kolb; David A Van Sanford; Priyanka Tyagi; Clay H Sneller; Carl A Griffey
Journal:  PLoS One       Date:  2019-02-22       Impact factor: 3.240

2.  Improving the baking quality of bread wheat by genomic selection in early generations.

Authors:  Sebastian Michel; Christian Kummer; Martin Gallee; Jakob Hellinger; Christian Ametz; Batuhan Akgöl; Doru Epure; Huseyin Güngör; Franziska Löschenberger; Hermann Buerstmayr
Journal:  Theor Appl Genet       Date:  2017-10-23       Impact factor: 5.699

3.  Quantitative trait loci associated with soft wheat quality in a cross of good by moderate quality parents.

Authors:  Gioconda Garcia-Santamaria; Clay Sneller; Duc Hua
Journal:  PeerJ       Date:  2018-03-23       Impact factor: 2.984

4.  Genetic Diversity and Association Analysis for Solvent Retention Capacity in the Accessions Derived from Soft Wheat Ningmai 9.

Authors:  Peng Jiang; Ping-Ping Zhang; Xu Zhang; Hong-Xiang Ma
Journal:  Int J Genomics       Date:  2017-02-05       Impact factor: 2.326

5.  Genomic Prediction and Genome-Wide Association Studies of Flour Yield and Alveograph Quality Traits Using Advanced Winter Wheat Breeding Material.

Authors:  Peter S Kristensen; Just Jensen; Jeppe R Andersen; Carlos Guzmán; Jihad Orabi; Ahmed Jahoor
Journal:  Genes (Basel)       Date:  2019-08-31       Impact factor: 4.096

6.  QTL detection for bread wheat processing quality in a nested association mapping population of semi-wild and domesticated wheat varieties.

Authors:  Junmei Hu; Guilian Xiao; Peng Jiang; Yan Zhao; Guangxu Zhang; Xin Ma; Jie Yao; Lixia Xue; Peisen Su; Yinguang Bao
Journal:  BMC Plant Biol       Date:  2022-03-21       Impact factor: 4.215

7.  Fasciclin-like arabinogalactan protein gene expression is associated with yield of flour in the milling of wheat.

Authors:  Ravi C Nirmal; Agnelo Furtado; Parimalan Rangan; Robert J Henry
Journal:  Sci Rep       Date:  2017-10-02       Impact factor: 4.379

8.  Dissection of Superior Alleles for Yield-Related Traits and Their Distribution in Important Cultivars of Wheat by Association Mapping.

Authors:  Xiaojun Li; Xin Xu; Weihua Liu; Xiuquan Li; Xinming Yang; Zhengang Ru; Lihui Li
Journal:  Front Plant Sci       Date:  2020-03-02       Impact factor: 5.753

9.  Optimizing Training Population Data and Validation of Genomic Selection for Economic Traits in Soft Winter Wheat.

Authors:  Amber Hoffstetter; Antonio Cabrera; Mao Huang; Clay Sneller
Journal:  G3 (Bethesda)       Date:  2016-09-08       Impact factor: 3.542

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.