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Effect of carbohydrates and night temperature on night respiration in rice

Peraudeau S., Lafarge T., Roques S., Quiñones C.O., Clément-Vidal A., Ouwerkerk P.B.F., Van Rie J., Fabre D., Jagadish K.S.V., Dingkuhn M.. 2015. Journal of Experimental Botany, 66 (13) : p. 3931-3944.

DOI: 10.1093/jxb/erv193

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.

Mots-clés : 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; france; philippines

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