Wheat quality improvement at CIMMYT and the use of genomic selection on it

被引:61
|
作者
Guzman, Carlos [1 ]
Javier Pena, Roberto [1 ]
Singh, Ravi [1 ]
Autrique, Enrique [1 ]
Dreisigacker, Susanne [1 ]
Crossa, Jose [1 ]
Rutkoski, Jessica [1 ]
Poland, Jesse [2 ]
Battenfield, Sarah [3 ]
机构
[1] Int Maize & Wheat Improvement Ctr, Global Wheat Program, Texcoco, Mexico
[2] Kansas State Univ, Dept Plant Pathol, Wheat Genet Resource Ctr, 4011 Throckmorton Plant Sci Ctr, Manhattan, KS 66506 USA
[3] AgriPro Wheat Syngenta, 11783 Archer Rd, Junction City, KS 66441 USA
来源
基金
比尔及梅琳达.盖茨基金会;
关键词
Wheat quality; Genomic selection; Wheat breeding;
D O I
10.1016/j.atg.2016.10.004
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The International Center for Maize and Wheat Improvement (CIMMYT) leads the Global Wheat Program, whose main objective is to increase the productivity of wheat cropping systems to reduce poverty in developing countries. The priorities of the program are high grain yield, disease resistance, tolerance to abiotic stresses (drought and heat), and desirable quality. The Wheat Chemistry and Quality Laboratory has been continuously evolving to be able to analyze the largest number of samples possible, in the shortest time, at lowest cost, in order to deliver data on diverse quality traits on time to the breeders formaking selections for advancement in the breeding pipeline. The participation of wheat quality analysis/selection is carried out in two stages of the breeding process: evaluation of the parental lines for new crosses and advanced lines in preliminary and elite yield trials. Thousands of lines are analyzed which requires a big investment in resources. Genomic selection has been proposed to assist in selecting for quality and other traits in breeding programs. Genomic selection can predict quantitative traits and is applicable to multiple quantitative traits in a breeding pipeline by attaining historical phenotypes and adding high-density genotypic information. Due to advances in sequencing technology, genome-wide single nucleotide polymorphism markers are available through genotyping-by-sequencing at a cost conducive to application for genomic selection. At CIMMYT, genomic selection has been applied to predict all of the processing and end-use quality traits regularly tested in the spring wheat breeding program. These traits have variable levels of prediction accuracy, however, they demonstrated that most expensive traits, dough rheology and baking final product, can be predicted with a high degree of confidence. Currently it is being explored how to combine both phenotypic and genomic selection to make more efficient the genetic improvement for quality traits at CIMMYT spring wheat breeding program. (C) 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.
引用
收藏
页码:3 / 8
页数:6
相关论文
共 50 条
  • [1] Genomic Selection for Processing and End-Use Quality Traits in the CIMMYT Spring Bread Wheat Breeding Program
    Battenfield, Sarah D.
    Guzman, Carlos
    Gaynor, R. Chris
    Singh, Ravi P.
    Pena, Roberto J.
    Dreisigacker, Susanne
    Fritz, Allan K.
    Poland, Jesse A.
    PLANT GENOME, 2016, 9 (02):
  • [2] Genetic improvement of wheat grain quality at CIMMYT
    Carlos GUZMáN
    Karim AMMAR
    Velu GOVINDAN
    Ravi SINGH
    Frontiers of Agricultural Science and Engineering, 2019, (03) : 265 - 272
  • [3] Genetic improvement of wheat grain quality at CIMMYT
    Carlos GUZMáN
    Karim AMMAR
    Velu GOVINDAN
    Ravi SINGH
    Frontiers of Agricultural Science and Engineering, 2019, 6 (03) : 265 - 272
  • [4] Genetic improvement of wheat grain quality at CIMMYT
    Guzman, Carlos
    Ammar, Karim
    Govindan, Velu
    Singh, Ravi
    FRONTIERS OF AGRICULTURAL SCIENCE AND ENGINEERING, 2019, 6 (03) : 265 - 272
  • [5] Use of synthetic hexaploid wheat to increase diversity for CIMMYT bread wheat improvement
    Dreisigacker, S.
    Kishii, M.
    Lage, J.
    Warburton, M.
    AUSTRALIAN JOURNAL OF AGRICULTURAL RESEARCH, 2008, 59 (05): : 413 - 420
  • [6] Selection of Pakistani and CIMMYT Wheat Lines for Better Grain Yield and Quality
    Sajjad, Muhammad
    Khan, Sultan Habibullah
    Maqbool, Rizwana
    Ather, Asma
    Iqbal, Nayyer
    INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY, 2012, 14 (04) : 645 - 649
  • [7] Genomic Selection for Grain Yield in the CIMMYT Wheat Breeding Program-Status and Perspectives
    Juliana, Philomin
    Prakash Singh, Ravi
    Braun, Hans-Joachim
    Huerta-Espino, Julio
    Crespo-Herrera, Leonardo
    Govindan, Velu
    Mondal, Suchismita
    Poland, Jesse
    Shrestha, Sandesh
    FRONTIERS IN PLANT SCIENCE, 2020, 11
  • [8] Use of genomic selection and breeding simulation in cross prediction for improvement of yield and quality in wheat (Triticum aestivum L.)
    Yao, Ji
    Zhao, Dehui
    Chen, Xinmin
    Zhang, Yong
    Wang, Jiankang
    CROP JOURNAL, 2018, 6 (04): : 353 - 365
  • [9] Use of genomic selection and breeding simulation in cross prediction for improvement of yield and quality in wheat(Triticum aestivum L.)
    Ji Yao
    Dehui Zhao
    Xinmin Chen
    Yong Zhang
    Jiankang Wang
    The Crop Journal, 2018, 6 (04) : 353 - 365
  • [10] Utilizing Genomic Selection for Wheat Population Development and Improvement
    Merrick, Lance F.
    Herr, Andrew W.
    Sandhu, Karansher S.
    Lozada, Dennis N.
    Carter, Arron H.
    AGRONOMY-BASEL, 2022, 12 (02):