CLADODE DEVELOPMENT, ENVIRONMENTAL RESPONSES OF CO2 UPTAKE, AND PRODUCTIVITY FOR OPUNTIA-FICUS-INDICA UNDER ELEVATED CO2

Citation
Ps. Nobel et Aa. Israel, CLADODE DEVELOPMENT, ENVIRONMENTAL RESPONSES OF CO2 UPTAKE, AND PRODUCTIVITY FOR OPUNTIA-FICUS-INDICA UNDER ELEVATED CO2, Journal of Experimental Botany, 45(272), 1994, pp. 295-303
Citations number
36
Categorie Soggetti
Plant Sciences
ISSN journal
00220957
Volume
45
Issue
272
Year of publication
1994
Pages
295 - 303
Database
ISI
SICI code
0022-0957(1994)45:272<295:CDEROC>2.0.ZU;2-S
Abstract
Opuntia ficus-indica, an extremely productive CAM plant cultivated in many countries, was exposed to 36, 52, and 72-73 Pa CO, in field plots and open-top chambers. Initiation of new cladodes (stem segments) was monitored until the canopy closed, after which bimonthly harvests mai ntained the plants for one year at a cladode area per unit ground area that is optimal for biomass production. Doubling the CO2 partial pres sure slightly increased the number of first-order daughter cladodes gr owing on the basal (planted) cladodes after 3 months and nearly double d the number and area of second-order cladodes. When the CO2 level was doubled, cladodes were 5% thicker after a few months and 11 to 16% th icker after one year. Although the productivity enhancement by elevate d CO2 tended to decrease during the year, the annual above-ground dry- mass gain was 37 to 40% higher when the CO2 level was doubled, reachin g 65 tons hectare(-1) year-l in a field plot. Well-watered cladodes at day/night air temperatures of 25 degrees C/15 degrees C and a total d aily photosynthetic photon flux (PPF) of 15 mol m(-2) d(-1) in control led environment chambers had 74% more net CO2 uptake over 24 h at 73 P a than at 37 Pa CO2. With doubled CO2, the percentage enhancement of n et CO2 uptake increased as the PPF was lowered, as the temperature was raised, and during drought. Using an environmental productivity index based on such factors, net CO2 uptake and hence productivity of O. fi cus-indica can be predicted for elevated CO2 levels and other variatio ns accompanying global climate change.