Seasonal responses of photosynthetic parameters in maize and sunflower and their relationship with leaf functional traits

Miner, Grace L.; Bauerle, William L.

doi:10.1111/pce.13511

Cited by 29 publications

(20 citation statements)

References 96 publications

(177 reference statements)

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“…The ratio of nitrogen allocated in Rubisco to the total nitrogen in leaf varies among species (Ghimire et al, 2017). This ratio is also affected by environment (Liu et al, 2018) and has seasonal variations (Croft et al, 2017; Miner & Bauerle, 2019). Therefore, accurate modeling of Vcmax 25 requires a factor that characterizes the fraction of the photosynthetic nitrogen.…”

Section: Discussionmentioning

confidence: 99%

Maximum Carboxylation Rate Estimation With Chlorophyll Content as a Proxy of Rubisco Content

et al. 2020

JGR Biogeosciences

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The maximum carboxylation rate (Vcmax) is a key parameter in determining the plant photosynthesis rate per unit leaf area. However, most terrestrial biosphere models currently treat Vcmax as constants changing only with plant functional types, leading to large uncertainties in modeled carbon fluxes. Vcmax is tightly linked with Ribulose‐1,5‐bisphosphate carboxylase/oxygenase (Rubisco). Here we investigated the relationship between leaf chlorophyll and Rubisco (Chl‐Rub) contents within a winter wheat paddock. With chlorophyll as a proxy of Rubisco, a semimechanistic model was developed to model Vcmax25 (Vcmax normalized to 25°C). The Chl‐Rub relationship was validated using measurements in a temperate mixed deciduous forest in Canada. The results showed that Rubisco was strongly correlated with chlorophyll (R2 = 0.96, p < 0.001) for winter wheat since the absorption of light energy by chlorophyll and the amount of CO2 catalyzed by Rubisco are tightly coupled. Incorporating the Chl‐Rub relationship into the semimechanistic model, the root mean square error of modeled Vcmax25 was the lowest among all estimation models. The slopes of Chl‐Rub relations were almost consistent in the winter wheat and temperate forest, demonstrating the potential for using leaf chlorophyll content as a proxy of leaf Rubisco in modeling Vcmax25 at large spatial scales. We anticipate that improving Vcmax25 estimates over time and space will reduce uncertainties in global carbon budgets simulated by terrestrial biosphere models.

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Section: Discussionmentioning

confidence: 99%

Maximum Carboxylation Rate Estimation With Chlorophyll Content as a Proxy of Rubisco Content

et al. 2020

JGR Biogeosciences

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“…For example, by mapping the distribution of leaf age throughout a crown, the whole-canopy performance may be compared among canopies comprised of different age leaves [22,23]. The challenge when modeling the time course of carbon fluxes would be to identify architectural properties that positively impact the total canopy CO 2 uptake [24].…”

Section: Discussionmentioning

confidence: 99%

Leaf Age and Position Effects on Quantum Yield and Photosynthetic Capacity in Hemp Crowns

Bauerle

McCullough

Iversen

et al. 2020

Plants

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We examined the aging of leaves prior to abscission and the consequences for estimating whole-crown primary production in Cannabis sativa L. (hemp). Leaves at three vertical positions in hemp crowns were examined from initial full leaf expansion until 42 days later. Photosynthetic capacity decreased as leaves aged regardless of crown position, light intensity, or photoperiod. Although leaves remained green, the photosynthetic capacity declined logarithmically to values of 50% and 25% of the maximum 9 and 25 days later, respectively. Plants grown under +450 μmol m−2 s−1 supplemental photosynthetically active radiation or enriched diffuse light responded similarly; there was no evidence that photoperiod or enriched diffuse light modified the gas exchange pattern. At approximately 14 days after full leaf expansion, leaf light levels >500 μmol m−2 s−1 decreased photosynthesis, which resulted in ≥10% lower maximum electron transport rate at ≥ 20 days of growth period. Furthermore, leaves were saturated at lower light levels as leaf age progressed (≤500 μmol m−2 s−1). Incorporating leaf age corrections of photosynthetic physiology is needed when estimating hemp primary production.

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“…Leaf is an important organ for plants to obtain energy, resources and nutrition, and it is also the most sensitive organ to environmental change and has strong plasticity (Franco et al, 2005;Jin et al, 2011). Leaf functional traits can objectively re ect the in uence of environmental changes on plants and the adaptability of plants to the environment, and predict the characteristics of plants and urban ecosystems (Eamus 2008;Niinemets 2015;Miner & Bauerle 2019). In this study, it was found that the functional traits of plants change regularly with the change of dust deposition.…”

Section: Effect Of Urban Atmospheric Particulate Matter On Leaf Functional Traitsmentioning

confidence: 99%

Leaf Functional Traits Differentiation and Its Trade-off Strategies of Urban Plant are Related to Atmospheric Particulate Pollution

Zhu

Qing

et al. 2021

Preprint

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Background: Functional trait-based ecological research has been instrumental in advancing our understanding of understanding of environmental changes. It is still, however, unclear how the functional traits of urban plants respond to atmospheric particulate pollution, and what trade-off strategies are shown. In order to explore the variation of plant functional traits with urban atmospheric particulate pollution gradient, we divided atmospheric particulate pollution into three levels according to road distance, and measured the variation of six key leaf functional traits and their trade-off strategies. Results: Here, we show that the functional traits of plants can be used as predictors or indicators of the response of plant to urban atmospheric particulate pollution. Within studies, there was a positive correlation between leaf thickness, leaf dry matter content, leaf tissue density, stomata density and leaf dust deposition. While chlorophyll content index and specific leaf area were negatively correlated with the leaf dust deposition. Plants improve the efficiency of gas exchange by optimizing the spatial distribution of stomata of leaves. Dust deposition promotes the regular distribution of stomata. Due to the pressure of atmospheric particles, urban plant shows a trade-off relationship of economics spectrum traits at the leaf level. Taken together, these results indicate that urban atmospheric particulate pollution is the main factor causing the variation of plant functional traits. Conclusion：Under the influence of urban atmospheric particulate matter, plant show a "slow investment-return" type in the global leaf economics spectrum, with lower specific leaf area, lower chlorophyll content, larger leaf thickness, higher leaf dry matter content, higher leaf tissue density and higher stomatal density. This finding provides a new perspective for understanding the resource trades-off strategy of plants adapting to air pollution environment.

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Seasonal responses of photosynthetic parameters in maize and sunflower and their relationship with leaf functional traits

Cited by 29 publications

References 96 publications

Maximum Carboxylation Rate Estimation With Chlorophyll Content as a Proxy of Rubisco Content

Maximum Carboxylation Rate Estimation With Chlorophyll Content as a Proxy of Rubisco Content

Leaf Age and Position Effects on Quantum Yield and Photosynthetic Capacity in Hemp Crowns

Leaf Functional Traits Differentiation and Its Trade-off Strategies of Urban Plant are Related to Atmospheric Particulate Pollution

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