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Season effects on leaf nitrogen partitioning and photosynthetic water use efficiency in mango
The key parameters of photosynthetic capacity (maximum carboxylation rate ( V cmax ), electron transport capacity ( J max ) and dark respiration rate ( R d )) and the slope ( m ) of the stomatal conductance model of Ball et al. [Progress in photosynthetic research, Martinus Nijhoff, Dordrecht, 1987]...
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Published in: | Journal of plant physiology 2006-01, Vol.163 (1), p.48-57 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The key parameters of photosynthetic capacity (maximum carboxylation rate (
V
cmax
), electron transport capacity (
J
max
) and dark respiration rate (
R
d
)) and the slope (
m
) of the stomatal conductance model of Ball et al. [Progress in photosynthetic research, Martinus Nijhoff, Dordrecht, 1987] were measured for a whole growing season in fully expanded leaves of 12-year-old mango trees cv. Cogshall in La Réunion island. Leaf nitrogen partitioning into carboxylation (
P
c
) and bioenergetic (
P
b
) pools were computed according to the model of Niinemets and Tenhunen [Plant Cell Environ 1997;20: 845–66].
V
cmax
,
J
max
,
R
d
,
P
c
and
P
b
remained relatively stable over the whole study period, with the exception of the period of linear fruit growth when
J
max
,
R
d
and
P
b
were slightly lower, and leaf non-structural carbohydrate content higher. During the pre-floral and floral periods,
m
decreased by more than 50%, indicating an increase in photosynthetic water use efficiency and
m increased again during the period of linear fruit growth. Our results show that, in tropical orchard conditions characterized by mild seasonal climatic changes and non-limiting water supply, leaf nitrogen partitioning is rather stable. Our results also advocate for more studies on the effect of phenology on
m and photosynthetic water use efficiency, which is of paramount importance for building coupled biochemical models of photosynthetic carbon assimilation. |
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ISSN: | 0176-1617 1618-1328 |
DOI: | 10.1016/j.jplph.2005.02.005 |