Wheat quality improvement at CIMMYT and the use of genomic selection on it
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 for making 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.
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Elsevier
2016
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Subjects: | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, Wheat Quality, Genomic Selection, Wheat Breeding, WHEAT, QUALITY, ARTIFICIAL SELECTION, PLANT BREEDING, |
Online Access: | http://hdl.handle.net/10883/18331 |
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dig-cimmyt-10883-183312023-12-01T16:50:01Z Wheat quality improvement at CIMMYT and the use of genomic selection on it Guzman, C. Peña-Bautista, R.J. Singh, R.G. Autrique, E. Dreisigacker, S. Crossa, J. Rutkoski, J. Poland, J.A. Battenfield, S.D. AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Wheat Quality Genomic Selection Wheat Breeding WHEAT QUALITY ARTIFICIAL SELECTION PLANT BREEDING 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 for making 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. 3-8 2017-05-24T16:40:48Z 2017-05-24T16:40:48Z 2016 Article http://hdl.handle.net/10883/18331 10.1016/j.atg.2016.10.004 English CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose. Open Access PDF Amsterdam, Netherlands Elsevier 11 Applied and Translational Genomics |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Wheat Quality Genomic Selection Wheat Breeding WHEAT QUALITY ARTIFICIAL SELECTION PLANT BREEDING AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Wheat Quality Genomic Selection Wheat Breeding WHEAT QUALITY ARTIFICIAL SELECTION PLANT BREEDING |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Wheat Quality Genomic Selection Wheat Breeding WHEAT QUALITY ARTIFICIAL SELECTION PLANT BREEDING AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Wheat Quality Genomic Selection Wheat Breeding WHEAT QUALITY ARTIFICIAL SELECTION PLANT BREEDING Guzman, C. Peña-Bautista, R.J. Singh, R.G. Autrique, E. Dreisigacker, S. Crossa, J. Rutkoski, J. Poland, J.A. Battenfield, S.D. Wheat quality improvement at CIMMYT and the use of genomic selection on it |
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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 for making 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. |
format |
Article |
topic_facet |
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Wheat Quality Genomic Selection Wheat Breeding WHEAT QUALITY ARTIFICIAL SELECTION PLANT BREEDING |
author |
Guzman, C. Peña-Bautista, R.J. Singh, R.G. Autrique, E. Dreisigacker, S. Crossa, J. Rutkoski, J. Poland, J.A. Battenfield, S.D. |
author_facet |
Guzman, C. Peña-Bautista, R.J. Singh, R.G. Autrique, E. Dreisigacker, S. Crossa, J. Rutkoski, J. Poland, J.A. Battenfield, S.D. |
author_sort |
Guzman, C. |
title |
Wheat quality improvement at CIMMYT and the use of genomic selection on it |
title_short |
Wheat quality improvement at CIMMYT and the use of genomic selection on it |
title_full |
Wheat quality improvement at CIMMYT and the use of genomic selection on it |
title_fullStr |
Wheat quality improvement at CIMMYT and the use of genomic selection on it |
title_full_unstemmed |
Wheat quality improvement at CIMMYT and the use of genomic selection on it |
title_sort |
wheat quality improvement at cimmyt and the use of genomic selection on it |
publisher |
Elsevier |
publishDate |
2016 |
url |
http://hdl.handle.net/10883/18331 |
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