Dataset Information

Carbon allocation in cassava is affected by water deficit and potassium application - A ¹³ C-CO₂ pulse labelling assessment.

ABSTRACT:

Rationale

Cassava production faces challenges in a changing climate. Pulse labelling cassava with ¹³ C-CO₂ has the potential to elucidate carbon allocation mechanisms of cassava under drought stress and with potassium application. Understanding these mechanisms could guide efforts to mitigate effects of drought in cassava cropping systems.

Methods

Forty-eight cassava plants received a nutrient solution high or low in potassium. Water deficit was imposed on half of the plants at bulk root initiation stage, after which they were labelled for 8 h with ¹³ C-CO₂ in a 15 m³ growth chamber. Plants were harvested 8 h, 9 days and 24 days after labelling, and separated into leaves, stems and roots. δ¹³ C values of the different parts were measured using an isotope ratio mass spectrometer, from which ¹³ C excess was calculated.

Results

Water deficit decreased transpiration (P < 0.001) and increased carbon respiration (P < 0.05). Potassium application increased assimilate distribution to the roots (P < 0.05) at 9 days after labelling, more strongly for plants under water deficit. The opposite was found at 24 days (P < 0.05) with the legacy of water deficit additionally increasing assimilate distribution to roots (P < 0.05). Youngest, fully expanded leaves contained up to 47% of initial ¹³ C excess at 24 days after labelling.

Conclusions

Pulse labelling proved to be successful in shedding light on carbon allocation in relation to water and potassium availability. This technique, once adapted to field conditions, could further be used to improve fertilizer recommendations or change agronomic practices to cope with plant stress.

SUBMITTER: Van Laere J

PROVIDER: S-EPMC9787844 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

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Publications

Carbon allocation in cassava is affected by water deficit and potassium application - A <sup>13</sup> C-CO<sub>2</sub> pulse labelling assessment.

Van Laere Jonas J Willemen Annemie A De Bauw Pieterjan P Hood-Nowotny Rebecca R Merckx Roel R Dercon Gerd G

Rapid communications in mass spectrometry : RCM 20230101 2

<h4>Rationale</h4>Cassava production faces challenges in a changing climate. Pulse labelling cassava with <sup>13</sup> C-CO<sub>2</sub> has the potential to elucidate carbon allocation mechanisms of cassava under drought stress and with potassium application. Understanding these mechanisms could guide efforts to mitigate effects of drought in cassava cropping systems.<h4>Methods</h4>Forty-eight cassava plants received a nutrient solution high or low in potassium. Water deficit was imposed on ha ...[more]

PMID: 36329665

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Project description:Cassava (Manihot esculenta Crantz) is an important root crop, which despite its drought tolerance suffers considerable yield losses under water deficit. One strategy to increase crop yields under water deficit is improving the crop's transpiration efficiency, which could be achieved by variety selection and potassium application. We assessed carbon isotope composition in bulk leaf material and extracted carbohydrates (soluble sugar, starch, and cellulose) of selected leaves one month after inducing water deficit to estimate transpiration efficiency and storage root biomass under varying conditions in a greenhouse experiment. A local and improved variety were grown in sand, supplied with nutrient solution with two potassium levels (1.44 vs. 0.04 mM K+) and were subjected to water deficit five months after planting. Potassium application and selection of the improved variety both increased transpiration efficiency of the roots with 58% and 85% respectively. Only in the improved variety were 13C ratios affected by potassium application (up to - 1.8‰ in δ13C of soluble sugar) and water deficit (up to + 0.6‰ in δ13C of starch and soluble sugar). These data revealed a shift in substrate away from transitory starch for cellulose synthesis in young leaves of the improved variety under potassium deficit. Bulk δ13C of leaves that had fully developed prior to water deficit were the best proxies for storage root biomass (r = - 0.62, r = - 0.70) and transpiration efficiency (r = - 0.68, r = - 0.58) for the local and improved variety respectively, making laborious extractions redundant. Results obtained from the youngest fully developed leaf, commonly used as a diagnostic leaf, were complicated by remobilized assimilates in the improved variety, making them less suitable for carbon isotope analysis. This study highlights the potential of carbon isotope composition to assess transpiration efficiency and yield, depending on the chosen sampling strategy as well as to unravel carbon allocation processes.

Dataset Information

Carbon allocation in cassava is affected by water deficit and potassium application - A ¹³ C-CO₂ pulse labelling assessment.

Rationale

Methods

Results

Conclusions

Publications

Carbon allocation in cassava is affected by water deficit and potassium application - A <sup>13</sup> C-CO<sub>2</sub> pulse labelling assessment.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

Carbon allocation in cassava is affected by water deficit and potassium application - A 13 C-CO2 pulse labelling assessment.

Rationale

Methods

Results

Conclusions

Publications

Carbon allocation in cassava is affected by water deficit and potassium application - A <sup>13</sup> C-CO<sub>2</sub> pulse labelling assessment.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Carbon allocation in cassava is affected by water deficit and potassium application - A ¹³ C-CO₂ pulse labelling assessment.