Modelling and genetic dissection of staygreen under heat stress

Plant chlorophyll retention—staygreen—is considered a valuable trait under heat stress. Five experiments with the Seri/Babax wheat mapping population were sown in Mexico under hot-irrigated environments. Normalized difference vegetation index (NDVI) during plant growth was measured regularly and mod...

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Detalles Bibliográficos
Autores: Suzuky Pinto, R., Lopes, M., Collins, N., Reynolds, M.P.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2016
País:México
Institución:Centro Internacional de Mejoramiento de Maíz y Trigo
Repositorio:Repositorio Institucional de Publicaciones Multimedia del CIMMYT
OAI Identifier:oai:repository.cimmyt.org:10883/18127
Acceso en línea:http://hdl.handle.net/10883/18127
Access Level:acceso abierto
Palabra clave:AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
WHEAT
QUANTITATIVE TRAIT LOCI
HEAT STRESS
SENESCENCE
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spelling Modelling and genetic dissection of staygreen under heat stressSuzuky Pinto, R.Lopes, M.Collins, N.Reynolds, M.P.AGRICULTURAL SCIENCES AND BIOTECHNOLOGYWHEATQUANTITATIVE TRAIT LOCIHEAT STRESSSENESCENCEPlant chlorophyll retention—staygreen—is considered a valuable trait under heat stress. Five experiments with the Seri/Babax wheat mapping population were sown in Mexico under hot-irrigated environments. Normalized difference vegetation index (NDVI) during plant growth was measured regularly and modelled to capture the dynamics of plant greenness decay, including staygreen (Stg) at physiological maturity which was estimated by regression of NDVI during grainfilling. The rate of senescence, the percentage of plant greenness decay, and the area under the curve were also estimated based on NDVI measurements. While Stg and the best fitted curve were highly environment dependent, both traits showed strong (positive for Stg) correlations with yield, grainfilling rates, and extended grainfilling periods, while associations with kernel number and kernel weight were weak. Stg expression was largely dependent on rate of senescence which was related to the pattern of the greenness decay curve and the initial NDVI. QTL analyses revealed a total of 44 loci across environments linked to Stg and related traits, distributed across the genome, with the strongest and most repeatable effects detected on chromosomes 1B, 2A, 2B, 4A, 4B and 7D. Of these, some were common with regions controlling phenology but independent regions were also identified. The co-location of QTL for Stg and performance traits in this study confirms that the staygreen phenotype is a useful trait for productivity enhancement in hot-irrigated environments.2055-2074Springer2017-03-13T20:44:47Z2017-03-13T20:44:47Z2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePDFapplication/pdfhttp://hdl.handle.net/10883/1812710.1007/s00122-016-2757-4129Theoretical and Applied Geneticsreponame:Repositorio Institucional de Publicaciones Multimedia del CIMMYTinstname:Centro Internacional de Mejoramiento de Maíz y Trigoinstacron:CIMMYTEnglishhttps://link.springer.com/article/10.1007%2Fs00122-016-2757-4#Sec22MEXICOBerlin, GermanyCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.Open Accessinfo:eu-repo/semantics/openAccessoai:repository.cimmyt.org:10883/181272024-10-11T19:59:11Z
dc.title.none.fl_str_mv Modelling and genetic dissection of staygreen under heat stress
title Modelling and genetic dissection of staygreen under heat stress
spellingShingle Modelling and genetic dissection of staygreen under heat stress
Suzuky Pinto, R.
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
WHEAT
QUANTITATIVE TRAIT LOCI
HEAT STRESS
SENESCENCE
title_short Modelling and genetic dissection of staygreen under heat stress
title_full Modelling and genetic dissection of staygreen under heat stress
title_fullStr Modelling and genetic dissection of staygreen under heat stress
title_full_unstemmed Modelling and genetic dissection of staygreen under heat stress
title_sort Modelling and genetic dissection of staygreen under heat stress
dc.creator.none.fl_str_mv Suzuky Pinto, R.
Lopes, M.
Collins, N.
Reynolds, M.P.
author Suzuky Pinto, R.
author_facet Suzuky Pinto, R.
Lopes, M.
Collins, N.
Reynolds, M.P.
author_role author
author2 Lopes, M.
Collins, N.
Reynolds, M.P.
author2_role author
author
author
dc.subject.none.fl_str_mv AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
WHEAT
QUANTITATIVE TRAIT LOCI
HEAT STRESS
SENESCENCE
topic AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
WHEAT
QUANTITATIVE TRAIT LOCI
HEAT STRESS
SENESCENCE
description Plant chlorophyll retention—staygreen—is considered a valuable trait under heat stress. Five experiments with the Seri/Babax wheat mapping population were sown in Mexico under hot-irrigated environments. Normalized difference vegetation index (NDVI) during plant growth was measured regularly and modelled to capture the dynamics of plant greenness decay, including staygreen (Stg) at physiological maturity which was estimated by regression of NDVI during grainfilling. The rate of senescence, the percentage of plant greenness decay, and the area under the curve were also estimated based on NDVI measurements. While Stg and the best fitted curve were highly environment dependent, both traits showed strong (positive for Stg) correlations with yield, grainfilling rates, and extended grainfilling periods, while associations with kernel number and kernel weight were weak. Stg expression was largely dependent on rate of senescence which was related to the pattern of the greenness decay curve and the initial NDVI. QTL analyses revealed a total of 44 loci across environments linked to Stg and related traits, distributed across the genome, with the strongest and most repeatable effects detected on chromosomes 1B, 2A, 2B, 4A, 4B and 7D. Of these, some were common with regions controlling phenology but independent regions were also identified. The co-location of QTL for Stg and performance traits in this study confirms that the staygreen phenotype is a useful trait for productivity enhancement in hot-irrigated environments.
publishDate 2016
dc.date.none.fl_str_mv 2016
2017-03-13T20:44:47Z
2017-03-13T20:44:47Z
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10883/18127
10.1007/s00122-016-2757-4
url http://hdl.handle.net/10883/18127
identifier_str_mv 10.1007/s00122-016-2757-4
dc.language.none.fl_str_mv English
language_invalid_str_mv English
dc.relation.none.fl_str_mv https://link.springer.com/article/10.1007%2Fs00122-016-2757-4#Sec22
dc.rights.none.fl_str_mv Open Access
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Open Access
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv PDF
application/pdf
dc.coverage.none.fl_str_mv MEXICO
Berlin, Germany
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv 129
Theoretical and Applied Genetics
reponame:Repositorio Institucional de Publicaciones Multimedia del CIMMYT
instname:Centro Internacional de Mejoramiento de Maíz y Trigo
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institution CIMMYT
reponame_str Repositorio Institucional de Publicaciones Multimedia del CIMMYT
collection Repositorio Institucional de Publicaciones Multimedia del CIMMYT
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