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Evaluating and improving crop growth models for simulating genotype-by-environment interactions in sugarcane
Thesis (PhD (Agronomy))--University of Pretoria, 2023.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2023
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| _version_ | 1867613647999598592 |
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| access_status_str | Open Access |
| author2 | Singels, Abraham |
| author_browse | Singels, Abraham |
| author_facet | Singels, Abraham |
| collection | Thesis |
| dc_rights_str_mv | © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Thesis (PhD (Agronomy))--University of Pretoria, 2023. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/89493 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:39:29.036Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/89493 Evaluating and improving crop growth models for simulating genotype-by-environment interactions in sugarcane Singels, Abraham matthewjones0001@gmail.com Annandale, John George Hammer, Graeme Jones, Matthew Robert Crop modelling Crop growth models Genotype-by-environment Crop growth simulation models DSSAT-Canegro model UCTD Thesis (PhD (Agronomy))--University of Pretoria, 2023. In his thesis, entitled “Evaluating and improving crop growth models for simulating genotype-by-environment interactions in sugarcane”, Matthew Jones has enhanced our capacity to assist sugarcane breeding using crop growth simulation models. Matthew presents an analysis of genotype, environment and genotype-by-environment (GxE) effects in an international sugarcane multi-environment trial – the first study of its kind in sugarcane. As part of this analysis, a novel approach is used to assess the adequacy of established simulation concepts to account for genotypic control of plant process responses to environmental factors. This work is then expanded comprehensively to assess three sugarcane crop growth models for their abilities to simulate genotype performance in different environments. An important finding was that the duration of the germination phase strongly influenced subsequent canopy development and biomass growth. The thesis further describes the development of a new crop model, CaneGEM, to address weaknesses in existing models. Canopy development, biomass growth and biomass partitioning are simulated using a source-sink approach, enabling dynamic interaction between these processes – a necessity for realistic simulation of GxE interaction effects. CaneGEM showed improved capability for predicting GxE interaction effects at plant process level. A demonstration of the CaneGEM model revealed the potential to improve biomass yields via genotypic adaptations to cooler temperatures. Additionally, this study showed both the importance of the duration of germination phase in driving GxE interaction effects in canopy development and biomass yields, and some of the challenges involved in predicting this accurately. International Consortium of Sugarcane Modelling South African Sugarcane Research Institute Zimbabwe Sugar Association Experiment Station Centre de Coopération Internationale en Recherche Agronomique pour le Développement Sugar Cane Growers Cooperative from Florida Plant Production and Soil Science PhD (Agronomy) Unrestricted 2023-02-14T10:35:23Z 2023-02-14T10:35:23Z 2023-04-20 2023-02 Thesis * A2023 https://repository.up.ac.za/handle/2263/89493 en © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | Crop modelling Crop growth models Genotype-by-environment Crop growth simulation models DSSAT-Canegro model UCTD Evaluating and improving crop growth models for simulating genotype-by-environment interactions in sugarcane |
| title | Evaluating and improving crop growth models for simulating genotype-by-environment interactions in sugarcane |
| title_full | Evaluating and improving crop growth models for simulating genotype-by-environment interactions in sugarcane |
| title_fullStr | Evaluating and improving crop growth models for simulating genotype-by-environment interactions in sugarcane |
| title_full_unstemmed | Evaluating and improving crop growth models for simulating genotype-by-environment interactions in sugarcane |
| title_short | Evaluating and improving crop growth models for simulating genotype-by-environment interactions in sugarcane |
| title_sort | evaluating and improving crop growth models for simulating genotype by environment interactions in sugarcane |
| topic | Crop modelling Crop growth models Genotype-by-environment Crop growth simulation models DSSAT-Canegro model UCTD |
| url | https://repository.up.ac.za/handle/2263/89493 |