Measuring residual transpiration in plants: a comparative analysis of different methods.


Journal

Functional plant biology : FPB
ISSN: 1445-4416
Titre abrégé: Funct Plant Biol
Pays: Australia
ID NLM: 101154361

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 24 11 2022
accepted: 28 08 2023
medline: 6 12 2023
pubmed: 20 9 2023
entrez: 19 9 2023
Statut: ppublish

Résumé

Residual transpiration (RT) is defined as a loss of water through the leaf cuticle while stomata are closed. Reduced RT might be a potentially valuable trait for improving plant performance under water deficit conditions imposed by either drought or salinity. Due to the presence of stomata on the leaf surface, it is technically challenging to measure RT. RT has been estimated by the water loss through either astomatous leaf surface or isolated astomatous cuticular layers. This approach is not suitable for all species (e.g. not applicable to grasses) and is difficult and too time consuming for large-scale screening in breeding programs. Several alternative methods may be used to quantify the extent of RT; each of them comes with its own advantages and limitations. In this study, we have undertaken a comparative assessment of eight various methods of assessing RT, using barley (Hordeum vulgare ) plants as a model species. RT measured by water retention curves and a portable gas exchange (infrared gas analyser; IRGA) system had low resolution and were not able to differentiate between RT rates from young and old leaves. Methods based on quantification of the water loss at several time-points were found to be the easiest and least time-consuming compared to others. Of these, the 'three time-points water loss' method is deemed as the most suitable for the high throughput screening of plant germplasm for RT traits.

Identifiants

pubmed: 37726012
pii: FP23157
doi: 10.1071/FP23157
doi:

Substances chimiques

Water 059QF0KO0R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

983-992

Auteurs

Md Hasanuzzaman (M)

<institution content-type="university">University of Tasmania</institution>, <city>Hobart</city>, <state>Tas.</state> <postal-code>7001</postal-code>, <country>Australia</country>; and <institution content-type="university">Sher-e-Bangla Agricultural University</institution>, <addr-line>Sher-e-Bangla Nagar</addr-line>, <city>Dhaka</city>, <postal-code>1207</postal-code>, <country>Bangladesh</country>.

Koushik Chakraborty (K)

<institution content-type="university">University of Tasmania</institution>, <city>Hobart</city>, <state>Tas.</state> <postal-code>7001</postal-code>, <country>Australia</country>; and <institution content-type="university">ICAR-National Rice Research Institute</institution>, <city>Cuttack</city>, <state>Odisha</state>, <country>India</country>.

Meixue Zhou (M)

<institution content-type="university">University of Tasmania</institution>, <city>Hobart</city>, <state>Tas.</state> <postal-code>7001</postal-code>, <country>Australia</country>.

Sergey Shabala (S)

<institution content-type="university">University of Tasmania</institution>, <city>Hobart</city>, <state>Tas.</state> <postal-code>7001</postal-code>, <country>Australia</country>; and <institution content-type="university">International Research Centre for Environmental Membrane Biology, Foshan University</institution>, <city>Foshan</city> <postal-code>528000</postal-code>, <country>China</country>; and <institution content-type="university">School of Biological Sciences, University of Western Australia</institution>, <city>Crawley</city>, <state>WA</state> <postal-code>6009</postal-code>, <country>Australia</country>.

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Classifications MeSH