Home > Research > Publications & Outputs > An empirical model predicting xylem sap ABA con...

Links

Text available via DOI:

View graph of relations

An empirical model predicting xylem sap ABA concentration from root biomass and soil moisture distribution in plants under partial root-zone drying

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

An empirical model predicting xylem sap ABA concentration from root biomass and soil moisture distribution in plants under partial root-zone drying. / Puertolas Simon, Jaime; Dodd, Ian Charles; Conesa, Charo.
XXIX International Horticultural Congress on Horticulture: Sustaining Lives, Livelihoods and Landscapes (IHC2014): International Symposia on Water, Eco-Efficiency and Transformation of Organic Waste in Horticultural Production. ed. / R. L. Snyder; S. Ortega-Farias; W. R. Carlile; M. Raviv; M. Nichols; B. Clother; I. Goodwin; R. Gentile. ISHS, 2016. p. 147-153 (ISHS Acta Horticulturae; Vol. 1112).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Puertolas Simon, J, Dodd, IC & Conesa, C 2016, An empirical model predicting xylem sap ABA concentration from root biomass and soil moisture distribution in plants under partial root-zone drying. in RL Snyder, S Ortega-Farias, WR Carlile, M Raviv, M Nichols, B Clother, I Goodwin & R Gentile (eds), XXIX International Horticultural Congress on Horticulture: Sustaining Lives, Livelihoods and Landscapes (IHC2014): International Symposia on Water, Eco-Efficiency and Transformation of Organic Waste in Horticultural Production. ISHS Acta Horticulturae, vol. 1112, ISHS, pp. 147-153. https://doi.org/10.17660/ActaHortic.2016.1112.21

APA

Puertolas Simon, J., Dodd, I. C., & Conesa, C. (2016). An empirical model predicting xylem sap ABA concentration from root biomass and soil moisture distribution in plants under partial root-zone drying. In R. L. Snyder, S. Ortega-Farias, W. R. Carlile, M. Raviv, M. Nichols, B. Clother, I. Goodwin, & R. Gentile (Eds.), XXIX International Horticultural Congress on Horticulture: Sustaining Lives, Livelihoods and Landscapes (IHC2014): International Symposia on Water, Eco-Efficiency and Transformation of Organic Waste in Horticultural Production (pp. 147-153). (ISHS Acta Horticulturae; Vol. 1112). ISHS. https://doi.org/10.17660/ActaHortic.2016.1112.21

Vancouver

Puertolas Simon J, Dodd IC, Conesa C. An empirical model predicting xylem sap ABA concentration from root biomass and soil moisture distribution in plants under partial root-zone drying. In Snyder RL, Ortega-Farias S, Carlile WR, Raviv M, Nichols M, Clother B, Goodwin I, Gentile R, editors, XXIX International Horticultural Congress on Horticulture: Sustaining Lives, Livelihoods and Landscapes (IHC2014): International Symposia on Water, Eco-Efficiency and Transformation of Organic Waste in Horticultural Production. ISHS. 2016. p. 147-153. (ISHS Acta Horticulturae). doi: 10.17660/ActaHortic.2016.1112.21

Author

Puertolas Simon, Jaime ; Dodd, Ian Charles ; Conesa, Charo. / An empirical model predicting xylem sap ABA concentration from root biomass and soil moisture distribution in plants under partial root-zone drying. XXIX International Horticultural Congress on Horticulture: Sustaining Lives, Livelihoods and Landscapes (IHC2014): International Symposia on Water, Eco-Efficiency and Transformation of Organic Waste in Horticultural Production. editor / R. L. Snyder ; S. Ortega-Farias ; W. R. Carlile ; M. Raviv ; M. Nichols ; B. Clother ; I. Goodwin ; R. Gentile. ISHS, 2016. pp. 147-153 (ISHS Acta Horticulturae).

Bibtex

@inproceedings{6c510916b5ca4cf0a5ad7cf56de7a3ec,
title = "An empirical model predicting xylem sap ABA concentration from root biomass and soil moisture distribution in plants under partial root-zone drying",
abstract = "Partial root-zone drying (PRD) is predicted to increase ABA concentration in the xylem sap ([X-ABA]) without changing leaf water status, thus partially closing the stomata which may enhance plant water use efficiency. Predicting ([X-ABA]) from soil moisture and root distribution data are essential to optimize the application of this technique. Bean (Phaseolus vulgaris) plants were grown in split pots, designed to allow a wide range of root mass distribution to either compartment, and PRD was applied. [X-ABA] was best predicted with an exponential model using the weighted (by root water uptake fraction - RWUF) average of root ABA concentration ([R-ABA]) in each compartment. This confirmed previous results reporting that a model accounting for RWUF is the best predictor of [X-ABA]. RWUF was equal to root mass fraction (RMF) when soil volumetric water content (θv) in the dry compartment was above 0.18 cm3 cm-3, linearly related to RMF when θv<0.18 and RMF>0.7, and null otherwise. [R-ABA] in the dry side had basal values (of 100-150 ng g-1 DW) when θv>0.18 and increased linearly with RMF above that threshold. Therefore, the proportion of roots in dry soil affected [X-ABA] by increasing both root water uptake fraction and ABA accumulation. [R-ABA] in the wet side was also stable when the dry side had θv>0.18 but was linearly related to local θv above that threshold and not to RMF. Simulation modelling showed that irrigating more than 1/3 of the total root mass during PRD had little impact on [X-ABA].",
keywords = "PRD, ABA, root-to-shoot signalling, root water uptake, stomatal conductance, irrigation, Phaseolus vulgaris",
author = "{Puertolas Simon}, Jaime and Dodd, {Ian Charles} and Charo Conesa",
year = "2016",
month = mar,
day = "22",
doi = "10.17660/ActaHortic.2016.1112.21",
language = "English",
isbn = "9789462611061",
series = "ISHS Acta Horticulturae",
publisher = "ISHS",
pages = "147--153",
editor = "Snyder, {R. L.} and S. Ortega-Farias and Carlile, {W. R.} and M. Raviv and Nichols, {M. } and B. Clother and I. Goodwin and Gentile, {R. }",
booktitle = "XXIX International Horticultural Congress on Horticulture: Sustaining Lives, Livelihoods and Landscapes (IHC2014): International Symposia on Water, Eco-Efficiency and Transformation of Organic Waste in Horticultural Production",

}

RIS

TY - GEN

T1 - An empirical model predicting xylem sap ABA concentration from root biomass and soil moisture distribution in plants under partial root-zone drying

AU - Puertolas Simon, Jaime

AU - Dodd, Ian Charles

AU - Conesa, Charo

PY - 2016/3/22

Y1 - 2016/3/22

N2 - Partial root-zone drying (PRD) is predicted to increase ABA concentration in the xylem sap ([X-ABA]) without changing leaf water status, thus partially closing the stomata which may enhance plant water use efficiency. Predicting ([X-ABA]) from soil moisture and root distribution data are essential to optimize the application of this technique. Bean (Phaseolus vulgaris) plants were grown in split pots, designed to allow a wide range of root mass distribution to either compartment, and PRD was applied. [X-ABA] was best predicted with an exponential model using the weighted (by root water uptake fraction - RWUF) average of root ABA concentration ([R-ABA]) in each compartment. This confirmed previous results reporting that a model accounting for RWUF is the best predictor of [X-ABA]. RWUF was equal to root mass fraction (RMF) when soil volumetric water content (θv) in the dry compartment was above 0.18 cm3 cm-3, linearly related to RMF when θv<0.18 and RMF>0.7, and null otherwise. [R-ABA] in the dry side had basal values (of 100-150 ng g-1 DW) when θv>0.18 and increased linearly with RMF above that threshold. Therefore, the proportion of roots in dry soil affected [X-ABA] by increasing both root water uptake fraction and ABA accumulation. [R-ABA] in the wet side was also stable when the dry side had θv>0.18 but was linearly related to local θv above that threshold and not to RMF. Simulation modelling showed that irrigating more than 1/3 of the total root mass during PRD had little impact on [X-ABA].

AB - Partial root-zone drying (PRD) is predicted to increase ABA concentration in the xylem sap ([X-ABA]) without changing leaf water status, thus partially closing the stomata which may enhance plant water use efficiency. Predicting ([X-ABA]) from soil moisture and root distribution data are essential to optimize the application of this technique. Bean (Phaseolus vulgaris) plants were grown in split pots, designed to allow a wide range of root mass distribution to either compartment, and PRD was applied. [X-ABA] was best predicted with an exponential model using the weighted (by root water uptake fraction - RWUF) average of root ABA concentration ([R-ABA]) in each compartment. This confirmed previous results reporting that a model accounting for RWUF is the best predictor of [X-ABA]. RWUF was equal to root mass fraction (RMF) when soil volumetric water content (θv) in the dry compartment was above 0.18 cm3 cm-3, linearly related to RMF when θv<0.18 and RMF>0.7, and null otherwise. [R-ABA] in the dry side had basal values (of 100-150 ng g-1 DW) when θv>0.18 and increased linearly with RMF above that threshold. Therefore, the proportion of roots in dry soil affected [X-ABA] by increasing both root water uptake fraction and ABA accumulation. [R-ABA] in the wet side was also stable when the dry side had θv>0.18 but was linearly related to local θv above that threshold and not to RMF. Simulation modelling showed that irrigating more than 1/3 of the total root mass during PRD had little impact on [X-ABA].

KW - PRD

KW - ABA

KW - root-to-shoot signalling

KW - root water uptake

KW - stomatal conductance

KW - irrigation

KW - Phaseolus vulgaris

U2 - 10.17660/ActaHortic.2016.1112.21

DO - 10.17660/ActaHortic.2016.1112.21

M3 - Conference contribution/Paper

SN - 9789462611061

T3 - ISHS Acta Horticulturae

SP - 147

EP - 153

BT - XXIX International Horticultural Congress on Horticulture: Sustaining Lives, Livelihoods and Landscapes (IHC2014): International Symposia on Water, Eco-Efficiency and Transformation of Organic Waste in Horticultural Production

A2 - Snyder, R. L.

A2 - Ortega-Farias, S.

A2 - Carlile, W. R.

A2 - Raviv, M.

A2 - Nichols, M.

A2 - Clother, B.

A2 - Goodwin, I.

A2 - Gentile, R.

PB - ISHS

ER -