Vertical profile of photosynthetic light response within rice canopy

Lv, Yuping; Xu, Junzeng; Liu, Xiaoyin; Li, Ang

doi:10.1007/s00484-020-01950-9

Cited by 7 publications

(5 citation statements)

References 41 publications

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“…We found that the net photosynthetic rate of rice at high density was lower than that at low density, which was consistent with the finding of Xu et al [6]. Increasing the transplanting density also increased the shading rate between rice leaves and degraded the ventilation conditions among rice populations [31,32], thus resulting in a decrease in net photosynthetic rate. In addition, the increased planting density also decreased the nitrogen content that accumulated per panicle, and the nitrogen content was positively correlated with photosynthetic ability [33].…”

Section: Discussionsupporting

confidence: 91%

Grain Yield, Nitrogen Use Efficiency and Antioxidant Enzymes of Rice under Different Fertilizer N Inputs and Planting Density

Wang

Shen

et al. 2022

Agronomy

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Nitrogen fertilizer and planting density are key factors affecting rice yield and nitrogen utilization efficiency. There is still a need to optimize nitrogen fertilizer and planting density management for high yield. We studied the effects of different quantities of nitrogen application (N0 0 kg ha−1, N1 120 kg ha−1, N2 180 kg ha−1) and planting density (low-density: 18.8 hills m−2; high-density: 37.5 hills m−2) on rice yield, photosynthetic characteristics, antioxidant system, and nitrogen use efficiency. ANOVA results indicated that most tested traits were affected by environment, planting density, N application, and their interactions. Comparing the results of low-density planting, high-density planting increased the panicle number by 21.12% but decreased the grain number per panicle and yield by 3.97% and 22.48%, respectively. Similarly, the superoxide dismutase (SOD), catalase (CAT), peroxidase (POD), and ascorbate peroxidase (APX) activities and PFPn (partial factor productivity of nitrogen) decreased by 8.20%, 6.99%, 16.41%, 14.28%, and 5.73%, respectively, while HIn (N harvest index) increased by 1.32%. Compared to no N application, N application treatments increased the panicle number, grain number per panicle, and yield by 9.92%, 17.64%, and 37.83% in the N1 treatment; and increased by 17.15%, 29.09%, and 128.94% in the N2 treatment, respectively. N application significantly increased net photosynthetic rates and enzyme activities of antioxidant antioxidases. Compared with N1, N2 decreased REn (apparent recovery efficiency of N), AEn (agronomic N use efficiency), and PFPn by 8.98%, 11.80%, and 25.14%, respectively, while, compared with N0, N1 increased HIn by 8.50%. It was observed that nitrogen fertilizer and planting density had an interaction effect on the net photosynthetic rate, antioxidant enzyme activities, and PFPn and HIn. Given a comprehensive consideration, it is best to apply nitrogen at a rate of 120 kg ha−1 at the planting density of 37.5 hills m−2 for high grain yield and high N use efficiency in our experimental site.

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Section: Discussionsupporting

confidence: 91%

Grain Yield, Nitrogen Use Efficiency and Antioxidant Enzymes of Rice under Different Fertilizer N Inputs and Planting Density

Wang

Shen

et al. 2022

Agronomy

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“…For example, genotype-level parameters are described as: Parameter½s e Normal(m : Parameter, t : Parameter) Eq: 3 where t.Parameter is the precision term associated with the genotype-level mean (µ.Parameter) of the parameter of interest. A max , a, R d , and q were given informative prior distributions with posterior means normally distributed around a mean reported for rice in published literature (e.g., Xu et al, 2019;Lv et al, 2020, see Table 1 in appendix) and large ( ± 200%) variances associated with them.…”

Section: Discussionmentioning

confidence: 99%

“…Additionally, most plants are measured in controlled environments, but recent studies demonstrating phenotypic plasticity of plants ( Sultan, 2000 ; Pieruschka and Schurr, 2019 ) suggest that plant response under controlled environmental conditions will likely differ from their response under field conditions ( Sultan, 2000 ). Rice photosynthetic properties are widely studied in controlled (e.g., Xu et al., 2019 ; Lv et al., 2020 ) and field (e.g., Murchie et al., 2002 ) conditions using light response curves, but none of the prior studies have used a non-sequential method (i.e., using different samples acclimated at different light levels) under field conditions. If non-sequential light response curves are conducted in a field environment, the whole plant is equilibrated to the same environmental conditions as the sample being measured (e.g., light, temperature, humidity).…”

Section: Introductionmentioning

confidence: 99%

Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes

Reavis,

Purcell,

Pereira

et al. 2023

Front. Plant Sci.

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IntroductionLight response curves are widely used to quantify phenotypic expression of photosynthesis by measuring a single sample and sequentially altering light intensity within a chamber (sequential method) or by measuring different samples that are each acclimated to a different light level (non-sequential method). Both methods are often conducted in controlled environments to achieve steady-state results, and neither method involves equilibrating the entire plant to the specific light level. MethodsHere, we compare sequential and non-sequential methods in controlled (greenhouse), semi-controlled (plant grown in growth chamber and acclimated to field conditions 2-3 days before measurements), and field environments. We selected seven diverse rice genotypes (five genotypes from the USDA rice minicore collection: 310588, 310723, 311644, 311677, 311795; and 2 additional genotypes: Nagina 22 and Zhe 733) to understand (1) the limitations of different methods, and (2) phenotypic plasticity of photosynthesis in rice grown under different environments. ResultsOur results show that the non-sequential method was time-efficient and captured more variability of field conditions than the sequential method, but the model parameters were generally similar between two methods except the maximum photosynthesis rate (Amax). Amax was significantly lower across all genotypes under greenhouse conditions compared to the growth chamber and field conditions consistent with prior work, but surprisingly the apparent quantum yield (α) and the mitochondrial respiration (Rd) were generally not different among growing environments or measurement methods. DiscussionOur results suggest that field conditions are best suited to quantify phenotypic differences across different genotypes and nonsequential method was better at capturing the variability in photosynthesis.

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“…For example, the measured leaf net photosynthetic rates (PN) at a certain light intensity for wheat decreased significantly in a sequence of the top first, second, third leaf (Li et al 2013). The light-saturated leaf PN for rice increased to the maximum when a leaf was fully expanded, and then decreased during leaf ontogeny (the upper leaves are physiologically younger than the lower ones), or declined in downward leaves within the canopy (Jin et al 2004, Xu et al 2019, Lv et al 2020. No results were discussing the difference in PN/Ci curves and parameters in the FvCB model among leaves at different positions.…”

Section: Introductionmentioning

confidence: 99%

Vertical profile of photosynthetic CO<sub>2</sub> response within rice canopy

Lv¹,

Pan²

2022

Photosynt.

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Abbreviations: Ca -ambient CO2 concentration; Ca1 -critical ambient CO2 concentration for photosynthetic CO2-response curve at which the transition between Rubisco-and RuBP-limited photosynthesis occurs; Ca2 -critical ambient CO2 concentration for photosynthetic CO2-response curve at which the transition between RuBP-and TPU-limited photosynthesis occurs; Ci -intercellular CO2 concentration; Ci1 -critical intercellular CO2 concentration for photosynthetic CO2-response curve at which the transition between Rubisco-and RuBP-limited photosynthesis occurs; Ci2 -critical intercellular CO2 concentration for photosynthetic CO2-response curve at which the transition between RuBP-and TPU-limited photosynthesis occurs; FvCB -Farquhar-von Caemmerer-Berry; gm -mesophyll diffusion conductance; Jmax -maximum rate of electron transport; Pc -net photosynthetic rates limited by Rubisco activity, Pj -net photosynthetic rates limited by RuBP regeneration; PN -net photosynthetic rates; PN1 -critical net photosynthetic rate for photosynthetic CO2-response curve at which the transition between Rubisco-and RuBP-limited photosynthesis occurs; PN2 -critical net photosynthetic rate for photosynthetic CO2-response curve at which the transition between RuBP-and TPU-limited photosynthesis occurs;

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Vertical profile of photosynthetic light response within rice canopy

Cited by 7 publications

References 41 publications

Grain Yield, Nitrogen Use Efficiency and Antioxidant Enzymes of Rice under Different Fertilizer N Inputs and Planting Density

Grain Yield, Nitrogen Use Efficiency and Antioxidant Enzymes of Rice under Different Fertilizer N Inputs and Planting Density

Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes

Vertical profile of photosynthetic CO<sub>2</sub> response within rice canopy

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