Cargando…

Describing the physiological responses of different rice genotypes to salt stress using sigmoid and piecewise linear functions

Rice is the staple food for almost half of the world population. In South and South East Asia, about 40% of rice production is from deltaic regions that are vulnerable to salt stress. A quantitative approach was developed for characterizing genotypic variability in biomass production, leaf transpira...

Descripción completa

Detalles Bibliográficos
Autores principales: Radanielson, Ando M., Angeles, Olivyn, Li, Tao, Ismail, Abdelbagi M., Gaydon, Donald S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Scientific Pub. Co 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5890386/
https://www.ncbi.nlm.nih.gov/pubmed/29725160
http://dx.doi.org/10.1016/j.fcr.2017.05.001
_version_ 1783312864152387584
author Radanielson, Ando M.
Angeles, Olivyn
Li, Tao
Ismail, Abdelbagi M.
Gaydon, Donald S.
author_facet Radanielson, Ando M.
Angeles, Olivyn
Li, Tao
Ismail, Abdelbagi M.
Gaydon, Donald S.
author_sort Radanielson, Ando M.
collection PubMed
description Rice is the staple food for almost half of the world population. In South and South East Asia, about 40% of rice production is from deltaic regions that are vulnerable to salt stress. A quantitative approach was developed for characterizing genotypic variability in biomass production, leaf transpiration rate and leaf net photosynthesis responses to salinity during the vegetative stage, with the aim of developing efficient screening protocols to accelerate breeding varieties adapted to salt-affected areas. Three varieties were evaluated in pots under greenhouse conditions and in the field, with average soil salinity ranging from 2 to 12 dS m(−1). Plant biomass, net photosynthesis rate, leaf transpiration rate and leaf conductance were measured at regular intervals. Crop responses were fitted using a logistic function with three parameters: 1) maximum rate under control conditions (Y(max)), 2) salinity level for 50% of reduction (b), and 3) rate of reduction (a). Variation in the three parameters correlated significantly with variation in plant biomass production under increasing salinity. Salt stress levels that caused 50% reduction in net leaf photosynthesis and transpiration rates were higher in the tolerant genotype BRRI Dhan47 (16.5 dS m(−1) and 14.3 dS m(−1), respectively) than the sensitive genotype IR29 (11.1 dS m(−1) and 6.8 dS m(−1)). In BRRI Dhan47, the threshold beyond which growth was significantly reduced was above 5 dS m(−1) and the rate of growth reduction beyond this threshold was as low as 4% per unit increase in salinity. This quantitative approach to screening for salinity tolerance in rice offers a means to better understand rice growth under salt stress and, using simulation modelling, can provide an improved tool for varietal characterization.
format Online
Article
Text
id pubmed-5890386
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Elsevier Scientific Pub. Co
record_format MEDLINE/PubMed
spelling pubmed-58903862018-05-01 Describing the physiological responses of different rice genotypes to salt stress using sigmoid and piecewise linear functions Radanielson, Ando M. Angeles, Olivyn Li, Tao Ismail, Abdelbagi M. Gaydon, Donald S. Field Crops Res Article Rice is the staple food for almost half of the world population. In South and South East Asia, about 40% of rice production is from deltaic regions that are vulnerable to salt stress. A quantitative approach was developed for characterizing genotypic variability in biomass production, leaf transpiration rate and leaf net photosynthesis responses to salinity during the vegetative stage, with the aim of developing efficient screening protocols to accelerate breeding varieties adapted to salt-affected areas. Three varieties were evaluated in pots under greenhouse conditions and in the field, with average soil salinity ranging from 2 to 12 dS m(−1). Plant biomass, net photosynthesis rate, leaf transpiration rate and leaf conductance were measured at regular intervals. Crop responses were fitted using a logistic function with three parameters: 1) maximum rate under control conditions (Y(max)), 2) salinity level for 50% of reduction (b), and 3) rate of reduction (a). Variation in the three parameters correlated significantly with variation in plant biomass production under increasing salinity. Salt stress levels that caused 50% reduction in net leaf photosynthesis and transpiration rates were higher in the tolerant genotype BRRI Dhan47 (16.5 dS m(−1) and 14.3 dS m(−1), respectively) than the sensitive genotype IR29 (11.1 dS m(−1) and 6.8 dS m(−1)). In BRRI Dhan47, the threshold beyond which growth was significantly reduced was above 5 dS m(−1) and the rate of growth reduction beyond this threshold was as low as 4% per unit increase in salinity. This quantitative approach to screening for salinity tolerance in rice offers a means to better understand rice growth under salt stress and, using simulation modelling, can provide an improved tool for varietal characterization. Elsevier Scientific Pub. Co 2018-05-01 /pmc/articles/PMC5890386/ /pubmed/29725160 http://dx.doi.org/10.1016/j.fcr.2017.05.001 Text en © 2017 Elsevier B.V. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Radanielson, Ando M.
Angeles, Olivyn
Li, Tao
Ismail, Abdelbagi M.
Gaydon, Donald S.
Describing the physiological responses of different rice genotypes to salt stress using sigmoid and piecewise linear functions
title Describing the physiological responses of different rice genotypes to salt stress using sigmoid and piecewise linear functions
title_full Describing the physiological responses of different rice genotypes to salt stress using sigmoid and piecewise linear functions
title_fullStr Describing the physiological responses of different rice genotypes to salt stress using sigmoid and piecewise linear functions
title_full_unstemmed Describing the physiological responses of different rice genotypes to salt stress using sigmoid and piecewise linear functions
title_short Describing the physiological responses of different rice genotypes to salt stress using sigmoid and piecewise linear functions
title_sort describing the physiological responses of different rice genotypes to salt stress using sigmoid and piecewise linear functions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5890386/
https://www.ncbi.nlm.nih.gov/pubmed/29725160
http://dx.doi.org/10.1016/j.fcr.2017.05.001
work_keys_str_mv AT radanielsonandom describingthephysiologicalresponsesofdifferentricegenotypestosaltstressusingsigmoidandpiecewiselinearfunctions
AT angelesolivyn describingthephysiologicalresponsesofdifferentricegenotypestosaltstressusingsigmoidandpiecewiselinearfunctions
AT litao describingthephysiologicalresponsesofdifferentricegenotypestosaltstressusingsigmoidandpiecewiselinearfunctions
AT ismailabdelbagim describingthephysiologicalresponsesofdifferentricegenotypestosaltstressusingsigmoidandpiecewiselinearfunctions
AT gaydondonalds describingthephysiologicalresponsesofdifferentricegenotypestosaltstressusingsigmoidandpiecewiselinearfunctions