Can Increase in Rubisco Specificity Increase Carbon Gain by Whole Canopy? A Modeling Analysis

Zhu, Xin‐Guang; Long, Stephen P.

doi:10.1007/978-1-4020-9237-4_17

Cited by 9 publications

(8 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Could this reduction be reversed? A recent transgenic study upregulated Rubisco content in rice, resulting in significant increases in photosynthesis and yield in replicated field trials in the current atmosphere (Yoon et al, 2020 The study indicated that a Rubisco with a higher k cat even at the expense of τ could result in a 10% increase in daily carbon assimilation for the same amount of Rubisco (Zhu & Long, 2009;Zhu et al, 2004). As [CO 2 ] rises, even larger gains might result from further increase in k cat /τ.…”

Section: Range Of Mineral Content In Wheat Grain Historical Linesmentioning

confidence: 97%

30 years of free‐air carbon dioxide enrichment (FACE): What have we learned about future crop productivity and its potential for adaptation?

Ainsworth

Long

2020

Global Change Biology

Self Cite

309

185

View full text Add to dashboard Cite

Free-air CO 2 enrichment (FACE) allows open-air elevation of [CO 2 ] without altering the microclimate. Its scale uniquely supports simultaneous study from physiology and yield to soil processes and disease. In 2005 we summarized results of then 28 published observations by meta-analysis. Subsequent studies have combined FACE with temperature, drought, ozone, and nitrogen treatments. Here, we summarize the results of now almost 250 observations, spanning 14 sites and five continents. Across 186 independent studies of 18 C 3 crops, elevation of [CO 2 ] by ca. 200 ppm caused a ca. 18% increase in yield under non-stress conditions. Legumes and root crops showed a greater increase and cereals less. Nitrogen deficiency reduced the average increase to 10%, as did warming by ca. 2°C. Two conclusions of the 2005 analysis were that C 4 crops would not be more productive in elevated [CO 2 ], except under drought, and that yield responses of C 3 crops were diminished by nitrogen deficiency and wet conditions. Both stand the test of time. Further studies of maize and sorghum showed no yield increase, except in drought, while soybean productivity was negatively affected by early growing season wet conditions. Subsequent study showed reduced levels of nutrients, notably Zn and Fe in most crops, and lower nitrogen and protein in the seeds of non-leguminous crops. Testing across crop germplasm revealed sufficient variation to maintain nutrient content under rising [CO 2 ]. A strong correlation of yield response under elevated [CO 2 ] to genetic yield potential in both rice and soybean was observed. Rice cultivars with the highest yield potential showed a 35% yield increase in elevated [CO 2 ] compared to an average of 14%. Future FACE experiments have the potential to develop cultivars and management strategies for co-promoting sustainability and productivity under future elevated [CO 2 ].

show abstract

Section: Range Of Mineral Content In Wheat Grain Historical Linesmentioning

confidence: 97%

30 years of free‐air carbon dioxide enrichment (FACE): What have we learned about future crop productivity and its potential for adaptation?

Ainsworth

Long

2020

Global Change Biology

Self Cite

309

185

View full text Add to dashboard Cite

show abstract

“…This is particularly important when assessing the potential value of stacking multiple transgenes in a canopy environment. For example, Zhu and Long (2009) examined the current efforts to increasing photosynthetic rate by increasing the specificity of Rubisco for CO 2 relative to O 2 ( ). These authors modelled the effect of an increase in at the canopy level using a steady-state biochemical model of leaf photosynthesis (Farquhar et al, 1980;von Caemmerer, 2000) coupled to a canopy biophysical microclimate model (Norman, 1980;Zhu et al, 2004).…”

Section: Rubp Regeneration and Photorespiratory "Bypass"mentioning

confidence: 99%

Improving photosynthesis and yield potential in cereal crops by targeted genetic manipulation: Prospects, progress and challenges

Furbank

Quick

Sirault

2015

Field Crops Research

View full text Add to dashboard Cite

a b s t r a c tSince the ground breaking work of Norman Borlaug in the 1960s produced large increases in yields of our major cereal crops, we have seen a gradual decline in annual yield progress. The genetic potential of the yield components harvest index and grain number, which were targeted in the "green revolution" and subsequently by cereal breeders have largely been optimised in our two largest global cereal crops, rice and wheat. Physiologists and breeders are turning to the biomass portion of the yield equation and in particular radiation use efficiency, as a means to push the yield potential barrier. Consequently, in the last decade a large effort has been initiated to identify targets to improve photosynthetic performance both using non-transgenic Phenomics approaches and transgenic technologies. Efficiency of light interception, harvesting and energy utilisation have been targeted but most efforts have so far focussed on improving photosynthetic capacity and efficiency in photosynthetic carbon metabolism in rice, wheat and model plants. Here the targets for improving light harvesting and carbon fixation are reviewed, the progress thus far evaluated and the likelihood of success of these activities in improving crop yields discussed in the context of modelling and scaling from the leaf to the canopy.Crown

show abstract

“…The impact of Rubisco kinetic properties on C3 photosynthesis has been elegantly highlighted in studies where the C3 model has been used to characterize Rubisco kinetic properties in transgenic plants expressing mutated Rubisco (Whitney et al 1999;Whitney & Andrews 2001;Sharwood et al 2008). This highlights the potential the Farquhar et al (1980) model has in predicting potential CO2 assimilation of leaves expressing novel Rubiscos (Zhu & Long 2009). Farquhar et al (1980) used constants derived from in vitro measurements by Badger and co-workers and used an Arrhenius function to describe the temperature dependencies (Eqn A19).…”

Section: Parameterization and Fitting Of The Modelmentioning

confidence: 99%

Steady‐state models of photosynthesis

Caemmerer

2013

Plant Cell & Environment

195

207

View full text Add to dashboard Cite

In the challenge to increase photosynthetic rate per leaf area mathematical models of photosynthesis can be used to help interpret gas exchange measurements made under different environmental conditions and predict underlying photosynthetic biochemistry. To do this successfully it is important to improve the modelling of temperature dependencies of CO2 assimilation and gain better understanding of internal CO2 diffusion limitations. Despite these shortcomings steadystate models of photosynthesis provide simple easy to use tools for thought experiments to explore photosynthetic pathway changes such as redirecting photorespiratory CO2, inserting bicarbonate pumps into C3 chloroplasts or inserting C4 photosynthesis into rice. Here a number of models derived from the C3 model by Farquhar, von Caemmerer and Berry are discussed and compared.

show abstract

Can Increase in Rubisco Specificity Increase Carbon Gain by Whole Canopy? A Modeling Analysis

Cited by 9 publications

References 63 publications

30 years of free‐air carbon dioxide enrichment (FACE): What have we learned about future crop productivity and its potential for adaptation?

30 years of free‐air carbon dioxide enrichment (FACE): What have we learned about future crop productivity and its potential for adaptation?

Improving photosynthesis and yield potential in cereal crops by targeted genetic manipulation: Prospects, progress and challenges

Steady‐state models of photosynthesis

Contact Info

Product

Resources

About