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Genetic control and prospects of predictive breeding for European winter wheat’s Zeleny sedimentation values and Hagberg-Perten falling number
KEY MESSAGE: Sedimentation values and falling number in the last decades have helped maintain high baking quality despite rigorous selection for grain yield in wheat. Allelic combinations of major loci sustained the bread-making quality while improving grain yield. Glu-D1, Pinb-D1, and non-gluten pr...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598174/ https://www.ncbi.nlm.nih.gov/pubmed/37874400 http://dx.doi.org/10.1007/s00122-023-04450-7 |
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author | Muqaddasi, Quddoos H. Muqaddasi, Roop Kamal Ebmeyer, Erhard Korzun, Viktor Argillier, Odile Mirdita, Vilson Reif, Jochen C. Ganal, Martin W. Röder, Marion S. |
author_facet | Muqaddasi, Quddoos H. Muqaddasi, Roop Kamal Ebmeyer, Erhard Korzun, Viktor Argillier, Odile Mirdita, Vilson Reif, Jochen C. Ganal, Martin W. Röder, Marion S. |
author_sort | Muqaddasi, Quddoos H. |
collection | PubMed |
description | KEY MESSAGE: Sedimentation values and falling number in the last decades have helped maintain high baking quality despite rigorous selection for grain yield in wheat. Allelic combinations of major loci sustained the bread-making quality while improving grain yield. Glu-D1, Pinb-D1, and non-gluten proteins are associated with sedimentation values and falling number in European wheat. ABSTRACT: Zeleny sedimentation values (ZSV) and Hagberg-Perten falling number (HFN) are among the most important parameters that help determine the baking quality classes of wheat and, thus, influence the monetary benefits for growers. We used a published data set of 372 European wheat varieties evaluated in replicated field trials in multiple environments. ZSV and HFN traits hold a wide and significant genotypic variation and high broad-sense heritability. The genetic correlations revealed positive and significant associations of ZSV and HFN with each other, grain protein content (GPC) and grain hardness; however, they were all significantly negatively correlated with grain yield. Besides, GPC appeared to be the major predictor for ZSV and HFN. Our genome-wide association analyses based on high-quality SSR, SNP, and candidate gene markers revealed a strong quantitative genetic nature of ZSV and HFN by explaining their total genotypic variance as 41.49% and 38.06%, respectively. The association of known Glutenin (Glu-1) and Puroindoline (Pin-1) with ZSV provided positive analytic proof of our studies. We report novel candidate loci associated with globulins and albumins—the non-gluten monomeric proteins in wheat. In addition, predictive breeding analyses for ZSV and HFN suggest using genomic selection in the early stages of breeding programs with an average prediction accuracy of 81 and 59%, respectively. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-023-04450-7. |
format | Online Article Text |
id | pubmed-10598174 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-105981742023-10-26 Genetic control and prospects of predictive breeding for European winter wheat’s Zeleny sedimentation values and Hagberg-Perten falling number Muqaddasi, Quddoos H. Muqaddasi, Roop Kamal Ebmeyer, Erhard Korzun, Viktor Argillier, Odile Mirdita, Vilson Reif, Jochen C. Ganal, Martin W. Röder, Marion S. Theor Appl Genet Original Article KEY MESSAGE: Sedimentation values and falling number in the last decades have helped maintain high baking quality despite rigorous selection for grain yield in wheat. Allelic combinations of major loci sustained the bread-making quality while improving grain yield. Glu-D1, Pinb-D1, and non-gluten proteins are associated with sedimentation values and falling number in European wheat. ABSTRACT: Zeleny sedimentation values (ZSV) and Hagberg-Perten falling number (HFN) are among the most important parameters that help determine the baking quality classes of wheat and, thus, influence the monetary benefits for growers. We used a published data set of 372 European wheat varieties evaluated in replicated field trials in multiple environments. ZSV and HFN traits hold a wide and significant genotypic variation and high broad-sense heritability. The genetic correlations revealed positive and significant associations of ZSV and HFN with each other, grain protein content (GPC) and grain hardness; however, they were all significantly negatively correlated with grain yield. Besides, GPC appeared to be the major predictor for ZSV and HFN. Our genome-wide association analyses based on high-quality SSR, SNP, and candidate gene markers revealed a strong quantitative genetic nature of ZSV and HFN by explaining their total genotypic variance as 41.49% and 38.06%, respectively. The association of known Glutenin (Glu-1) and Puroindoline (Pin-1) with ZSV provided positive analytic proof of our studies. We report novel candidate loci associated with globulins and albumins—the non-gluten monomeric proteins in wheat. In addition, predictive breeding analyses for ZSV and HFN suggest using genomic selection in the early stages of breeding programs with an average prediction accuracy of 81 and 59%, respectively. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-023-04450-7. Springer Berlin Heidelberg 2023-10-24 2023 /pmc/articles/PMC10598174/ /pubmed/37874400 http://dx.doi.org/10.1007/s00122-023-04450-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Muqaddasi, Quddoos H. Muqaddasi, Roop Kamal Ebmeyer, Erhard Korzun, Viktor Argillier, Odile Mirdita, Vilson Reif, Jochen C. Ganal, Martin W. Röder, Marion S. Genetic control and prospects of predictive breeding for European winter wheat’s Zeleny sedimentation values and Hagberg-Perten falling number |
title | Genetic control and prospects of predictive breeding for European winter wheat’s Zeleny sedimentation values and Hagberg-Perten falling number |
title_full | Genetic control and prospects of predictive breeding for European winter wheat’s Zeleny sedimentation values and Hagberg-Perten falling number |
title_fullStr | Genetic control and prospects of predictive breeding for European winter wheat’s Zeleny sedimentation values and Hagberg-Perten falling number |
title_full_unstemmed | Genetic control and prospects of predictive breeding for European winter wheat’s Zeleny sedimentation values and Hagberg-Perten falling number |
title_short | Genetic control and prospects of predictive breeding for European winter wheat’s Zeleny sedimentation values and Hagberg-Perten falling number |
title_sort | genetic control and prospects of predictive breeding for european winter wheat’s zeleny sedimentation values and hagberg-perten falling number |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598174/ https://www.ncbi.nlm.nih.gov/pubmed/37874400 http://dx.doi.org/10.1007/s00122-023-04450-7 |
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