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Rethinking the approach to viability monitoring in seed genebanks

Seed viability monitoring, usually through a germination test, is a key aspect of genebank management; a low viability result triggers the regeneration of an accession in order to ensure that the genetic diversity of the accession is conserved and available for distribution. However, regular viabili...

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Autores principales: Hay, Fiona R., Whitehouse, Katherine J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356937/
https://www.ncbi.nlm.nih.gov/pubmed/28361000
http://dx.doi.org/10.1093/conphys/cox009
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author Hay, Fiona R.
Whitehouse, Katherine J.
author_facet Hay, Fiona R.
Whitehouse, Katherine J.
author_sort Hay, Fiona R.
collection PubMed
description Seed viability monitoring, usually through a germination test, is a key aspect of genebank management; a low viability result triggers the regeneration of an accession in order to ensure that the genetic diversity of the accession is conserved and available for distribution. However, regular viability monitoring of large collections is costly in terms of seeds, labour and other resources. Genebanks differ in how they conduct their viability monitoring and how they collect, manage and store the data that are generated. In this article, we propose alternatives to the current norm of conducting an initial germination test soon after arrival at the genebank and then testing after regular, set storage intervals, as recommended in the Food and Agriculture Organization's Genebank Standards for Plant Genetic Resources for Food and Agriculture. We use real data from the International Rice Genebank (held at the International Rice Research Institute) to illustrate some of the issues regarding the accuracy and reliability of germination test results, in particular when they are used to predict the longevity of a seed lot in storage and to set viability monitoring intervals. We suggest the use of seed storage experiments on samples of seeds to identify which seed lots from a particular crop season to test first. We also give advice on the use of sequential testing schemes potentially to reduce the number of seeds used for viability testing; the use of tolerance tables to identify unlikely results when samples are subdivided into replicates; and what data to include in a genebank management database to improve the management of seed collections.
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spelling pubmed-53569372017-03-30 Rethinking the approach to viability monitoring in seed genebanks Hay, Fiona R. Whitehouse, Katherine J. Conserv Physiol Perspectives Seed viability monitoring, usually through a germination test, is a key aspect of genebank management; a low viability result triggers the regeneration of an accession in order to ensure that the genetic diversity of the accession is conserved and available for distribution. However, regular viability monitoring of large collections is costly in terms of seeds, labour and other resources. Genebanks differ in how they conduct their viability monitoring and how they collect, manage and store the data that are generated. In this article, we propose alternatives to the current norm of conducting an initial germination test soon after arrival at the genebank and then testing after regular, set storage intervals, as recommended in the Food and Agriculture Organization's Genebank Standards for Plant Genetic Resources for Food and Agriculture. We use real data from the International Rice Genebank (held at the International Rice Research Institute) to illustrate some of the issues regarding the accuracy and reliability of germination test results, in particular when they are used to predict the longevity of a seed lot in storage and to set viability monitoring intervals. We suggest the use of seed storage experiments on samples of seeds to identify which seed lots from a particular crop season to test first. We also give advice on the use of sequential testing schemes potentially to reduce the number of seeds used for viability testing; the use of tolerance tables to identify unlikely results when samples are subdivided into replicates; and what data to include in a genebank management database to improve the management of seed collections. Oxford University Press 2017-03-04 /pmc/articles/PMC5356937/ /pubmed/28361000 http://dx.doi.org/10.1093/conphys/cox009 Text en © The Author 2017. Published by Oxford University Press and 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 Perspectives
Hay, Fiona R.
Whitehouse, Katherine J.
Rethinking the approach to viability monitoring in seed genebanks
title Rethinking the approach to viability monitoring in seed genebanks
title_full Rethinking the approach to viability monitoring in seed genebanks
title_fullStr Rethinking the approach to viability monitoring in seed genebanks
title_full_unstemmed Rethinking the approach to viability monitoring in seed genebanks
title_short Rethinking the approach to viability monitoring in seed genebanks
title_sort rethinking the approach to viability monitoring in seed genebanks
topic Perspectives
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356937/
https://www.ncbi.nlm.nih.gov/pubmed/28361000
http://dx.doi.org/10.1093/conphys/cox009
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