Effect of carbohydrates and night temperature on night respiration in rice

Global warming causes night temperature (NT) to increase faster than day temperature in the tropics. According to crop growth models, respiration incurs a loss of 40–60% of photosynthate. The thermal sensitivity of night respiration (R n) will thus reduce biomass. Instantaneous and acclimated effects of NT on R n of leaves and seedlings of two rice cultivars having a variable level of carbohydrates, induced by exposure to different light intensity on the previous day, were investigated. Experiments were conducted in a greenhouse and growth chambers, with R n measured on the youngest fully expanded leaves or whole seedlings. Dry weight-based R n was 2.6-fold greater for seedlings than for leaves. Leaf R n was linearly related to starch (positive intercept) and soluble sugar concentration (zero intercept). Increased NT caused higher R n at a given carbohydrate concentration. The change of R n at NT increasing from 21 °C to 31 °C was 2.4-fold for the instantaneous response but 1.2- to 1.7-fold after acclimation. The maintenance component of R n (R m'), estimated by assimilate starvation, averaged 28% in seedlings and 34% in leaves, with no significant thermal effect on this ratio. The acclimated effect of increased NT on R m' across experiments was 1.5-fold for a 10 °C increase in NT. No cultivar differences were observed in R n or R m' responses. The results suggest that the commonly used Q10=2 rule overestimates thermal response of respiration, and R n largely depends on assimilate resources.

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Main Authors: Peraudeau, Sebastien, Lafarge, Tanguy, Roques, Sandrine, Quiñones, Cherryl O., Clément-Vidal, Anne, Ouwerkerk, Pieter B.F., Van Rie, Jeroen, Fabre, Denis, Jagadish, Krishna S.V., Dingkuhn, Michaël
Format: article biblioteca
Language:eng
Subjects:F62 - Physiologie végétale - Croissance et développement, F01 - Culture des plantes, P40 - Météorologie et climatologie, U10 - Informatique, mathématiques et statistiques, Oryza sativa, métabolisme des glucides, respiration cellulaire, facteur climatique, facteur du milieu, température, changement climatique, adaptation aux changements climatiques, perte, biomasse, teneur en glucides, feuille, croissance, ombrage, rythme circadien, analyse de régression, http://aims.fao.org/aos/agrovoc/c_5438, http://aims.fao.org/aos/agrovoc/c_1299, http://aims.fao.org/aos/agrovoc/c_6527, http://aims.fao.org/aos/agrovoc/c_29554, http://aims.fao.org/aos/agrovoc/c_2594, http://aims.fao.org/aos/agrovoc/c_7657, http://aims.fao.org/aos/agrovoc/c_1666, http://aims.fao.org/aos/agrovoc/c_1374567058134, http://aims.fao.org/aos/agrovoc/c_4438, http://aims.fao.org/aos/agrovoc/c_926, http://aims.fao.org/aos/agrovoc/c_1298, http://aims.fao.org/aos/agrovoc/c_4243, http://aims.fao.org/aos/agrovoc/c_3394, http://aims.fao.org/aos/agrovoc/c_7020, http://aims.fao.org/aos/agrovoc/c_9865, http://aims.fao.org/aos/agrovoc/c_16335, http://aims.fao.org/aos/agrovoc/c_3081, http://aims.fao.org/aos/agrovoc/c_5783,
Online Access:http://agritrop.cirad.fr/577081/
http://agritrop.cirad.fr/577081/1/Peraudeau%20et%20al.%202015%20Effect%20of%20carbohydrates%20and%20night%20temperature%20on%20night%20respiration%20in%20rice.pdf
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spelling dig-cirad-fr-5770812024-01-28T22:49:06Z http://agritrop.cirad.fr/577081/ http://agritrop.cirad.fr/577081/ Effect of carbohydrates and night temperature on night respiration in rice. Peraudeau Sebastien, Lafarge Tanguy, Roques Sandrine, Quiñones Cherryl O., Clément-Vidal Anne, Ouwerkerk Pieter B.F., Van Rie Jeroen, Fabre Denis, Jagadish Krishna S.V., Dingkuhn Michaël. 2015. Journal of Experimental Botany, 66 (13) : 3931-3944.https://doi.org/10.1093/jxb/erv193 <https://doi.org/10.1093/jxb/erv193> Effect of carbohydrates and night temperature on night respiration in rice Peraudeau, Sebastien Lafarge, Tanguy Roques, Sandrine Quiñones, Cherryl O. Clément-Vidal, Anne Ouwerkerk, Pieter B.F. Van Rie, Jeroen Fabre, Denis Jagadish, Krishna S.V. Dingkuhn, Michaël eng 2015 Journal of Experimental Botany F62 - Physiologie végétale - Croissance et développement F01 - Culture des plantes P40 - Météorologie et climatologie U10 - Informatique, mathématiques et statistiques Oryza sativa métabolisme des glucides respiration cellulaire facteur climatique facteur du milieu température changement climatique adaptation aux changements climatiques perte biomasse teneur en glucides feuille croissance ombrage rythme circadien analyse de régression http://aims.fao.org/aos/agrovoc/c_5438 http://aims.fao.org/aos/agrovoc/c_1299 http://aims.fao.org/aos/agrovoc/c_6527 http://aims.fao.org/aos/agrovoc/c_29554 http://aims.fao.org/aos/agrovoc/c_2594 http://aims.fao.org/aos/agrovoc/c_7657 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_1374567058134 http://aims.fao.org/aos/agrovoc/c_4438 http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_1298 http://aims.fao.org/aos/agrovoc/c_4243 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_7020 http://aims.fao.org/aos/agrovoc/c_9865 http://aims.fao.org/aos/agrovoc/c_16335 France Philippines http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_5783 Global warming causes night temperature (NT) to increase faster than day temperature in the tropics. According to crop growth models, respiration incurs a loss of 40–60% of photosynthate. The thermal sensitivity of night respiration (R n) will thus reduce biomass. Instantaneous and acclimated effects of NT on R n of leaves and seedlings of two rice cultivars having a variable level of carbohydrates, induced by exposure to different light intensity on the previous day, were investigated. Experiments were conducted in a greenhouse and growth chambers, with R n measured on the youngest fully expanded leaves or whole seedlings. Dry weight-based R n was 2.6-fold greater for seedlings than for leaves. Leaf R n was linearly related to starch (positive intercept) and soluble sugar concentration (zero intercept). Increased NT caused higher R n at a given carbohydrate concentration. The change of R n at NT increasing from 21 °C to 31 °C was 2.4-fold for the instantaneous response but 1.2- to 1.7-fold after acclimation. The maintenance component of R n (R m'), estimated by assimilate starvation, averaged 28% in seedlings and 34% in leaves, with no significant thermal effect on this ratio. The acclimated effect of increased NT on R m' across experiments was 1.5-fold for a 10 °C increase in NT. No cultivar differences were observed in R n or R m' responses. The results suggest that the commonly used Q10=2 rule overestimates thermal response of respiration, and R n largely depends on assimilate resources. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/577081/1/Peraudeau%20et%20al.%202015%20Effect%20of%20carbohydrates%20and%20night%20temperature%20on%20night%20respiration%20in%20rice.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1093/jxb/erv193 10.1093/jxb/erv193 info:eu-repo/semantics/altIdentifier/doi/10.1093/jxb/erv193 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1093/jxb/erv193
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic F62 - Physiologie végétale - Croissance et développement
F01 - Culture des plantes
P40 - Météorologie et climatologie
U10 - Informatique, mathématiques et statistiques
Oryza sativa
métabolisme des glucides
respiration cellulaire
facteur climatique
facteur du milieu
température
changement climatique
adaptation aux changements climatiques
perte
biomasse
teneur en glucides
feuille
croissance
ombrage
rythme circadien
analyse de régression
http://aims.fao.org/aos/agrovoc/c_5438
http://aims.fao.org/aos/agrovoc/c_1299
http://aims.fao.org/aos/agrovoc/c_6527
http://aims.fao.org/aos/agrovoc/c_29554
http://aims.fao.org/aos/agrovoc/c_2594
http://aims.fao.org/aos/agrovoc/c_7657
http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_1374567058134
http://aims.fao.org/aos/agrovoc/c_4438
http://aims.fao.org/aos/agrovoc/c_926
http://aims.fao.org/aos/agrovoc/c_1298
http://aims.fao.org/aos/agrovoc/c_4243
http://aims.fao.org/aos/agrovoc/c_3394
http://aims.fao.org/aos/agrovoc/c_7020
http://aims.fao.org/aos/agrovoc/c_9865
http://aims.fao.org/aos/agrovoc/c_16335
http://aims.fao.org/aos/agrovoc/c_3081
http://aims.fao.org/aos/agrovoc/c_5783
F62 - Physiologie végétale - Croissance et développement
F01 - Culture des plantes
P40 - Météorologie et climatologie
U10 - Informatique, mathématiques et statistiques
Oryza sativa
métabolisme des glucides
respiration cellulaire
facteur climatique
facteur du milieu
température
changement climatique
adaptation aux changements climatiques
perte
biomasse
teneur en glucides
feuille
croissance
ombrage
rythme circadien
analyse de régression
http://aims.fao.org/aos/agrovoc/c_5438
http://aims.fao.org/aos/agrovoc/c_1299
http://aims.fao.org/aos/agrovoc/c_6527
http://aims.fao.org/aos/agrovoc/c_29554
http://aims.fao.org/aos/agrovoc/c_2594
http://aims.fao.org/aos/agrovoc/c_7657
http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_1374567058134
http://aims.fao.org/aos/agrovoc/c_4438
http://aims.fao.org/aos/agrovoc/c_926
http://aims.fao.org/aos/agrovoc/c_1298
http://aims.fao.org/aos/agrovoc/c_4243
http://aims.fao.org/aos/agrovoc/c_3394
http://aims.fao.org/aos/agrovoc/c_7020
http://aims.fao.org/aos/agrovoc/c_9865
http://aims.fao.org/aos/agrovoc/c_16335
http://aims.fao.org/aos/agrovoc/c_3081
http://aims.fao.org/aos/agrovoc/c_5783
spellingShingle F62 - Physiologie végétale - Croissance et développement
F01 - Culture des plantes
P40 - Météorologie et climatologie
U10 - Informatique, mathématiques et statistiques
Oryza sativa
métabolisme des glucides
respiration cellulaire
facteur climatique
facteur du milieu
température
changement climatique
adaptation aux changements climatiques
perte
biomasse
teneur en glucides
feuille
croissance
ombrage
rythme circadien
analyse de régression
http://aims.fao.org/aos/agrovoc/c_5438
http://aims.fao.org/aos/agrovoc/c_1299
http://aims.fao.org/aos/agrovoc/c_6527
http://aims.fao.org/aos/agrovoc/c_29554
http://aims.fao.org/aos/agrovoc/c_2594
http://aims.fao.org/aos/agrovoc/c_7657
http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_1374567058134
http://aims.fao.org/aos/agrovoc/c_4438
http://aims.fao.org/aos/agrovoc/c_926
http://aims.fao.org/aos/agrovoc/c_1298
http://aims.fao.org/aos/agrovoc/c_4243
http://aims.fao.org/aos/agrovoc/c_3394
http://aims.fao.org/aos/agrovoc/c_7020
http://aims.fao.org/aos/agrovoc/c_9865
http://aims.fao.org/aos/agrovoc/c_16335
http://aims.fao.org/aos/agrovoc/c_3081
http://aims.fao.org/aos/agrovoc/c_5783
F62 - Physiologie végétale - Croissance et développement
F01 - Culture des plantes
P40 - Météorologie et climatologie
U10 - Informatique, mathématiques et statistiques
Oryza sativa
métabolisme des glucides
respiration cellulaire
facteur climatique
facteur du milieu
température
changement climatique
adaptation aux changements climatiques
perte
biomasse
teneur en glucides
feuille
croissance
ombrage
rythme circadien
analyse de régression
http://aims.fao.org/aos/agrovoc/c_5438
http://aims.fao.org/aos/agrovoc/c_1299
http://aims.fao.org/aos/agrovoc/c_6527
http://aims.fao.org/aos/agrovoc/c_29554
http://aims.fao.org/aos/agrovoc/c_2594
http://aims.fao.org/aos/agrovoc/c_7657
http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_1374567058134
http://aims.fao.org/aos/agrovoc/c_4438
http://aims.fao.org/aos/agrovoc/c_926
http://aims.fao.org/aos/agrovoc/c_1298
http://aims.fao.org/aos/agrovoc/c_4243
http://aims.fao.org/aos/agrovoc/c_3394
http://aims.fao.org/aos/agrovoc/c_7020
http://aims.fao.org/aos/agrovoc/c_9865
http://aims.fao.org/aos/agrovoc/c_16335
http://aims.fao.org/aos/agrovoc/c_3081
http://aims.fao.org/aos/agrovoc/c_5783
Peraudeau, Sebastien
Lafarge, Tanguy
Roques, Sandrine
Quiñones, Cherryl O.
Clément-Vidal, Anne
Ouwerkerk, Pieter B.F.
Van Rie, Jeroen
Fabre, Denis
Jagadish, Krishna S.V.
Dingkuhn, Michaël
Effect of carbohydrates and night temperature on night respiration in rice
description Global warming causes night temperature (NT) to increase faster than day temperature in the tropics. According to crop growth models, respiration incurs a loss of 40–60% of photosynthate. The thermal sensitivity of night respiration (R n) will thus reduce biomass. Instantaneous and acclimated effects of NT on R n of leaves and seedlings of two rice cultivars having a variable level of carbohydrates, induced by exposure to different light intensity on the previous day, were investigated. Experiments were conducted in a greenhouse and growth chambers, with R n measured on the youngest fully expanded leaves or whole seedlings. Dry weight-based R n was 2.6-fold greater for seedlings than for leaves. Leaf R n was linearly related to starch (positive intercept) and soluble sugar concentration (zero intercept). Increased NT caused higher R n at a given carbohydrate concentration. The change of R n at NT increasing from 21 °C to 31 °C was 2.4-fold for the instantaneous response but 1.2- to 1.7-fold after acclimation. The maintenance component of R n (R m'), estimated by assimilate starvation, averaged 28% in seedlings and 34% in leaves, with no significant thermal effect on this ratio. The acclimated effect of increased NT on R m' across experiments was 1.5-fold for a 10 °C increase in NT. No cultivar differences were observed in R n or R m' responses. The results suggest that the commonly used Q10=2 rule overestimates thermal response of respiration, and R n largely depends on assimilate resources.
format article
topic_facet F62 - Physiologie végétale - Croissance et développement
F01 - Culture des plantes
P40 - Météorologie et climatologie
U10 - Informatique, mathématiques et statistiques
Oryza sativa
métabolisme des glucides
respiration cellulaire
facteur climatique
facteur du milieu
température
changement climatique
adaptation aux changements climatiques
perte
biomasse
teneur en glucides
feuille
croissance
ombrage
rythme circadien
analyse de régression
http://aims.fao.org/aos/agrovoc/c_5438
http://aims.fao.org/aos/agrovoc/c_1299
http://aims.fao.org/aos/agrovoc/c_6527
http://aims.fao.org/aos/agrovoc/c_29554
http://aims.fao.org/aos/agrovoc/c_2594
http://aims.fao.org/aos/agrovoc/c_7657
http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_1374567058134
http://aims.fao.org/aos/agrovoc/c_4438
http://aims.fao.org/aos/agrovoc/c_926
http://aims.fao.org/aos/agrovoc/c_1298
http://aims.fao.org/aos/agrovoc/c_4243
http://aims.fao.org/aos/agrovoc/c_3394
http://aims.fao.org/aos/agrovoc/c_7020
http://aims.fao.org/aos/agrovoc/c_9865
http://aims.fao.org/aos/agrovoc/c_16335
http://aims.fao.org/aos/agrovoc/c_3081
http://aims.fao.org/aos/agrovoc/c_5783
author Peraudeau, Sebastien
Lafarge, Tanguy
Roques, Sandrine
Quiñones, Cherryl O.
Clément-Vidal, Anne
Ouwerkerk, Pieter B.F.
Van Rie, Jeroen
Fabre, Denis
Jagadish, Krishna S.V.
Dingkuhn, Michaël
author_facet Peraudeau, Sebastien
Lafarge, Tanguy
Roques, Sandrine
Quiñones, Cherryl O.
Clément-Vidal, Anne
Ouwerkerk, Pieter B.F.
Van Rie, Jeroen
Fabre, Denis
Jagadish, Krishna S.V.
Dingkuhn, Michaël
author_sort Peraudeau, Sebastien
title Effect of carbohydrates and night temperature on night respiration in rice
title_short Effect of carbohydrates and night temperature on night respiration in rice
title_full Effect of carbohydrates and night temperature on night respiration in rice
title_fullStr Effect of carbohydrates and night temperature on night respiration in rice
title_full_unstemmed Effect of carbohydrates and night temperature on night respiration in rice
title_sort effect of carbohydrates and night temperature on night respiration in rice
url http://agritrop.cirad.fr/577081/
http://agritrop.cirad.fr/577081/1/Peraudeau%20et%20al.%202015%20Effect%20of%20carbohydrates%20and%20night%20temperature%20on%20night%20respiration%20in%20rice.pdf
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