Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding
New types of phenotyping tools generate large amounts of data on many aspects of plant physiology and morphology with high spatial and temporal resolution. These new phenotyping data are potentially useful to improve understanding and prediction of complex traits, like yield, that are characterized...
| Autores principales: | , , , , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2019
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/99155 |
| _version_ | 1855541078401220608 |
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| author | Eeuwijk, Fred A. van Bustos-Korts, D. Millet, Emilie J. Boer, M. Kruijer, W. Thompson, A. Malosetti, M. Iwata, H. Quiróz, R. Kuppe, C. Muller, O. Blazakis, K.N. Yu, K. Tardieu, François Chapman, S. |
| author_browse | Blazakis, K.N. Boer, M. Bustos-Korts, D. Chapman, S. Eeuwijk, Fred A. van Iwata, H. Kruijer, W. Kuppe, C. Malosetti, M. Millet, Emilie J. Muller, O. Quiróz, R. Tardieu, François Thompson, A. Yu, K. |
| author_facet | Eeuwijk, Fred A. van Bustos-Korts, D. Millet, Emilie J. Boer, M. Kruijer, W. Thompson, A. Malosetti, M. Iwata, H. Quiróz, R. Kuppe, C. Muller, O. Blazakis, K.N. Yu, K. Tardieu, François Chapman, S. |
| author_sort | Eeuwijk, Fred A. van |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | New types of phenotyping tools generate large amounts of data on many aspects of plant physiology and morphology with high spatial and temporal resolution. These new phenotyping data are potentially useful to improve understanding and prediction of complex traits, like yield, that are characterized by strong environmental context dependencies, i.e., genotype by environment interactions. For an evaluation of the utility of new phenotyping information, we will look at how this information can be incorporated in different classes of genotype-to-phenotype (G2P) models. G2P models predict phenotypic traits as functions of genotypic and environmental inputs. In the last decade, access to high-density single nucleotide polymorphism markers (SNPs) and sequence information has boosted the development of a class of G2P models called genomic prediction models that predict phenotypes from genome wide marker profiles. The challenge now is to build G2P models that incorporate simultaneously extensive genomic information alongside with new phenotypic information. Beyond the modification of existing G2P models, new G2P paradigms are required. We present candidate G2P models for the integration of genomic and new phenotyping information and illustrate their use in examples. Special attention will be given to the modelling of genotype by environment interactions. The G2P models provide a framework for model based phenotyping and the evaluation of the utility of phenotyping information in the context of breeding programs. |
| format | Journal Article |
| id | CGSpace99155 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace991552025-11-29T05:22:24Z Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding Eeuwijk, Fred A. van Bustos-Korts, D. Millet, Emilie J. Boer, M. Kruijer, W. Thompson, A. Malosetti, M. Iwata, H. Quiróz, R. Kuppe, C. Muller, O. Blazakis, K.N. Yu, K. Tardieu, François Chapman, S. plant breeding genomics genotype environment interaction phenotypes New types of phenotyping tools generate large amounts of data on many aspects of plant physiology and morphology with high spatial and temporal resolution. These new phenotyping data are potentially useful to improve understanding and prediction of complex traits, like yield, that are characterized by strong environmental context dependencies, i.e., genotype by environment interactions. For an evaluation of the utility of new phenotyping information, we will look at how this information can be incorporated in different classes of genotype-to-phenotype (G2P) models. G2P models predict phenotypic traits as functions of genotypic and environmental inputs. In the last decade, access to high-density single nucleotide polymorphism markers (SNPs) and sequence information has boosted the development of a class of G2P models called genomic prediction models that predict phenotypes from genome wide marker profiles. The challenge now is to build G2P models that incorporate simultaneously extensive genomic information alongside with new phenotypic information. Beyond the modification of existing G2P models, new G2P paradigms are required. We present candidate G2P models for the integration of genomic and new phenotyping information and illustrate their use in examples. Special attention will be given to the modelling of genotype by environment interactions. The G2P models provide a framework for model based phenotyping and the evaluation of the utility of phenotyping information in the context of breeding programs. 2019-05 2019-01-22T21:05:15Z 2019-01-22T21:05:15Z Journal Article https://hdl.handle.net/10568/99155 en Open Access Elsevier Eeuwijk, F. A. Van; Bustos-Korts, D.; Millet, E.J.; Boer, M.; Kruijer, W.; Thompson, A.; Malosetti, M.; Iwata, H.; Quiroz, R.; Kuppe, C.; Muller, O.; Blazakis, K. N.; Yu, K.; Tardieu, F.; Chapman, S. (2019). Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding. Plant Science. ISSN 0168-9452. 282. pp 23–39. |
| spellingShingle | plant breeding genomics genotype environment interaction phenotypes Eeuwijk, Fred A. van Bustos-Korts, D. Millet, Emilie J. Boer, M. Kruijer, W. Thompson, A. Malosetti, M. Iwata, H. Quiróz, R. Kuppe, C. Muller, O. Blazakis, K.N. Yu, K. Tardieu, François Chapman, S. Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding |
| title | Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding |
| title_full | Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding |
| title_fullStr | Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding |
| title_full_unstemmed | Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding |
| title_short | Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding |
| title_sort | modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding |
| topic | plant breeding genomics genotype environment interaction phenotypes |
| url | https://hdl.handle.net/10568/99155 |
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