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Variation in zinc concentration of sweetcorn kernels reflects source–sink dynamics influenced by kernel number
Grain yield and mineral nutrient concentration in cereal crops are usually inversely correlated, undermining biofortification efforts. Here, sink size, expressed as kernel number per cob, was manipulated by controlling the time when the silks of sweetcorn (Zea mays) cv. Hybrix 5 and var. HiZeax 1031...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7410176/ https://www.ncbi.nlm.nih.gov/pubmed/32442251 http://dx.doi.org/10.1093/jxb/eraa244 |
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author | Cheah, Zhong Xiang O’Hare, Tim J Harper, Stephen M Bell, Michael J |
author_facet | Cheah, Zhong Xiang O’Hare, Tim J Harper, Stephen M Bell, Michael J |
author_sort | Cheah, Zhong Xiang |
collection | PubMed |
description | Grain yield and mineral nutrient concentration in cereal crops are usually inversely correlated, undermining biofortification efforts. Here, sink size, expressed as kernel number per cob, was manipulated by controlling the time when the silks of sweetcorn (Zea mays) cv. Hybrix 5 and var. HiZeax 103146 were exposed to pollen. Twelve other varieties were manually pollinated to achieve the maximum potential kernel number per cob, and kernel Zn concentration was correlated with kernel number and kernel mass. As kernel number increased, kernel Zn concentration decreased, with the decrease occurring to similar extents in the embryo tissue and the rest of the kernel. However, total kernel Zn accumulated per cob increased with increasing kernel number, as the small decreases in individual kernel Zn concentration were more than offset by increases in kernel number. When both kernel number and mass were considered, 90% of the variation in kernel Zn concentration was accounted for. Differential distribution of assimilates and Zn to sweetcorn cobs led to significant decreases in kernel Zn concentration with increasing kernel number. This suggests there will be challenges to achieving high kernel Zn concentrations in modern high-yielding sweetcorn varieties unless genotypes with higher Zn translocation rates into kernels can be identified. |
format | Online Article Text |
id | pubmed-7410176 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74101762020-08-10 Variation in zinc concentration of sweetcorn kernels reflects source–sink dynamics influenced by kernel number Cheah, Zhong Xiang O’Hare, Tim J Harper, Stephen M Bell, Michael J J Exp Bot Research Papers Grain yield and mineral nutrient concentration in cereal crops are usually inversely correlated, undermining biofortification efforts. Here, sink size, expressed as kernel number per cob, was manipulated by controlling the time when the silks of sweetcorn (Zea mays) cv. Hybrix 5 and var. HiZeax 103146 were exposed to pollen. Twelve other varieties were manually pollinated to achieve the maximum potential kernel number per cob, and kernel Zn concentration was correlated with kernel number and kernel mass. As kernel number increased, kernel Zn concentration decreased, with the decrease occurring to similar extents in the embryo tissue and the rest of the kernel. However, total kernel Zn accumulated per cob increased with increasing kernel number, as the small decreases in individual kernel Zn concentration were more than offset by increases in kernel number. When both kernel number and mass were considered, 90% of the variation in kernel Zn concentration was accounted for. Differential distribution of assimilates and Zn to sweetcorn cobs led to significant decreases in kernel Zn concentration with increasing kernel number. This suggests there will be challenges to achieving high kernel Zn concentrations in modern high-yielding sweetcorn varieties unless genotypes with higher Zn translocation rates into kernels can be identified. Oxford University Press 2020-08-06 2020-05-22 /pmc/articles/PMC7410176/ /pubmed/32442251 http://dx.doi.org/10.1093/jxb/eraa244 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Experimental Biology. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Papers Cheah, Zhong Xiang O’Hare, Tim J Harper, Stephen M Bell, Michael J Variation in zinc concentration of sweetcorn kernels reflects source–sink dynamics influenced by kernel number |
title | Variation in zinc concentration of sweetcorn kernels reflects source–sink dynamics influenced by kernel number |
title_full | Variation in zinc concentration of sweetcorn kernels reflects source–sink dynamics influenced by kernel number |
title_fullStr | Variation in zinc concentration of sweetcorn kernels reflects source–sink dynamics influenced by kernel number |
title_full_unstemmed | Variation in zinc concentration of sweetcorn kernels reflects source–sink dynamics influenced by kernel number |
title_short | Variation in zinc concentration of sweetcorn kernels reflects source–sink dynamics influenced by kernel number |
title_sort | variation in zinc concentration of sweetcorn kernels reflects source–sink dynamics influenced by kernel number |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7410176/ https://www.ncbi.nlm.nih.gov/pubmed/32442251 http://dx.doi.org/10.1093/jxb/eraa244 |
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