Nitrogen-improved photosynthesis quantum yield is driven by increased thylakoid density, enhancing green light absorption

Moriwaki, Thaise; Falcioni, Renan; Tanaka, Francisco André Ossamu; Cardoso, Kátia Aparecida Kern; Souza, Luiz Antônio de; Benedito, Evanilde; Nanni, Marcos Rafael; Bonato, Carlos Moacir; Antunes, Werner Camargos

doi:10.1016/j.plantsci.2018.10.012

Cited by 54 publications

(48 citation statements)

References 60 publications

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“…Carbon and nitrogen are two essential macronutrients required for plant growth and development, 1 and interdependent cellular processes regulate carbon metabolism and nitrogen metabolism. The photosynthetic capacity of leaves is directly dependent on the nitrogen content of leaves because the production of proteins involved in carboxylation and the light‐harvesting complex require high levels of nitrogen 2, 3 . Photosynthesis generates three‐carbon products, and the resulting energy is used towards synthesis of carbohydrate and nitrogen assimilation 4 .…”

Section: Introductionmentioning

confidence: 99%

“…The photosynthetic capacity of leaves is directly dependent on the nitrogen content of leaves because the production of proteins involved in carboxylation and the light-harvesting complex require high levels of nitrogen. 2,3 Photosynthesis generates three-carbon products, and the resulting energy is used towards synthesis of carbohydrate and nitrogen assimilation. 4 Carbohydrates also serve as carbon skeletons and a source of energy for plants to assimilate ammonium (NH 4 + ).…”

Section: Introductionmentioning

confidence: 99%

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Effect of ammonium and nitrate supplies on nitrogen and sucrose metabolism of Cabernet Sauvignon (Vitis vinifera cv.)

Yin

Wang

et al. 2020

J Sci Food Agric

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BACKGROUND: The quality of wine is highly dependent on the quality of berries. Development of berries is influenced by the type and ratio of different nitrogen supplies in the soil. To understand the impact of varying sources and levels of nitrate and ammonium on sucrose and nitrogen metabolism of Vitis vinifera cv. Cabernet Sauvignon, we tested nutrient solutions with four NO 3 −-N:NH 4 +-N ratios (100:0, 75:25, 50:50, 0:100) through the root system. RESULTS: The form and quantity of nitrogen affected berries and leaves with source-sink relationships. Soluble sugar levels were significantly higher in plants treated with mixed nitrogen sources (75:25 and 50:50) compared to single nitrogen sources (100:0 and 0:100). In particular, treating plants with mixed nitrogen source at a 75:25 ratio resulted in 22% higher fructose levels in berries compared to the 50:50 treatment. In addition, mixed nitrogen treatments resulted in significantly higher amino acid levels and protein content. Mixed nitrogen substrates also increased the expression of enzymes involved in both nitrogen and sucrose metabolism. CONCLUSION: Plants did not maximize the nitrogen supply when single form nitrogen was provided, and the mixed nitrogen substrates consistently increased the amount of available carbon and nitrogen in the berries and leaves. We found that NO 3 − N: NH 4 +-N ratio of 75:25 was the optimum formula for improving nitrogen and sucrose metabolism, and reducing the competition between nitrogen and sucrose. By examining the nutrient utilization of plants cultivated with different nitrogen forms, the present study provides insights into improving cultivation and production practices.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of ammonium and nitrate supplies on nitrogen and sucrose metabolism of Cabernet Sauvignon (Vitis vinifera cv.)

Yin

Wang

et al. 2020

J Sci Food Agric

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“…The result confirmed our previous finding that N addition has diverse effects on plant functional traits [31], and also in accordance with previous findings showing that SLA [32] and LNC [10,31] increased with N supply. Because nitrogen is one of the important resources for plants to grow [33,34], and N addition can improve soil nitrogen availability which promotes the photosynthesis of plants [10,35]. Additionally, SLA was positively correlated with plant growth rates and reflected light capture and plant growth [36], and high SLA suggests that plants have a strong ability to maintain nutrition [14,37].…”

Section: Discussionmentioning

confidence: 99%

How Plant Functional Traits of Dominant Species Respond to Fencing and Water-Nitrogen Addition in Horqin Grassland, China

Yue¹,

Zuo²,

Zou³

et al. 2020

Pol. J. Environ. Stud.

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Plant functional traits can reflect the response and adaptation of plant species to environmental changes. However, how plant functional traits of dominant species respond to the fencing, water and nitrogen additions in a sandy grassland ecosystem is still unclear. Here, a manipulative field experiment was conducted to investigate the effects of fencing, water and nitrogen addition on the functional traits of four dominant species (Pennisetum centrasiaticum, Cleistogenes squarrosa, Chenopodium acuminatum and Salsola collina) in Horqin sandy grassland. The results showed that nitrogen addition had a significant effect on plant height, specific leaf area (SLA), leaf nitrogen content (LNC), and leaf dry matter content (LDMC). Nitrogen addition increased plant height for C. squarrosa as well as SLA for P. centrasiaticum and S. collina, while reducing plant height for P. centrasiaticum and LDMC for S. collina. Also, nitrogen addition increased LNC for the four dominant species. Water addition reduced LDMC in grazing treatment, as well as plant height in fencing and nitrogen addition treatments. Compared to control treatment, nitrogen addition increased the strength of negative associations of LDMC with plant height and LNC. The results suggest that nitrogen addition plays an important role in determining the growth of the four dominant species, and water addition increases the competition of resource use among species in fencing and nitrogen addition treatments. Plants in sandy grassland can mediate the key functional traits to cope with alterations of water and nitrogen under the future global change scenarios.

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“…Variables with p-value <0.05 (defined a priori) were added and not removed in/from the function. The stepwise procedure was carried out until no variable could be entered or removed from the function [27,67,68]. Using the selected wavelengths, the linear discriminant analysis was carried out.…”

Section: Linear Discriminant Analysis (Lda)mentioning

confidence: 99%

“…Such differences are due to the interaction between crop phenological stage, plant water status, and environmental conditions. However, the spectral variability among vegetation groups is not the same across the wavelengths due to leaf biochemical properties and structure [37,[66][67][68][69]. Figure 7 presents the standard deviation of soybean genotypes and the overall standard deviation of each spectral dataset (defined in Table 1).…”

Section: Visual Analysis Of Leaf Reflectance Spectramentioning

confidence: 99%

Classification of Soybean Genotypes Assessed Under Different Water Availability and at Different Phenological Stages Using Leaf-Based Hyperspectral Reflectance

et al. 2021

Self Cite

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Monitoring of soybean genotypes is important because of intellectual property over seed technology, better management over seed genetics, and more efficient strategies for its agricultural production process. This paper aims at spectrally classifying soybean genotypes submitted to diverse water availability levels at different phenological stages using leaf-based hyperspectral reflectance. Leaf reflectance spectra were collected using a hyperspectral proximal sensor. Two experiments were conducted as field trials: one experiment was at Embrapa Soja in the 2016/2017, 2017/2018, and 2018/2019 cropping seasons, where ten soybean genotypes were grown under four water conditions; and another experiment was in the experimental farm of Unoeste University in the 2018/2019 cropping season, where nine soybean genotypes were evaluated. The spectral data collected was divided into nine spectral datasets, comprising single and multiple cropping seasons (from 2016 to 2019), and two contrasting crop-growing environments. Principal component analysis, applied as an indicator of the explained variance of the reflectance spectra among genotypes within each spectral dataset, explained over 94% of the spectral variance in the first three principal components. Linear discriminant analysis, used to obtain a model of classification of each reflectance spectra of soybean leaves into each soybean genotype, achieved accuracy between 61% and 100% in the calibration procedure and between 50% and 100% in the validation procedure. Misclassification was observed only between genotypes from the same genetic background. The results demonstrated the great potential of the spectral classification of soybean genotypes at leaf-scale, regardless of the phenological stages or water status to which plants were submitted.

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Nitrogen-improved photosynthesis quantum yield is driven by increased thylakoid density, enhancing green light absorption

Cited by 54 publications

References 60 publications

Effect of ammonium and nitrate supplies on nitrogen and sucrose metabolism of Cabernet Sauvignon (Vitis vinifera cv.)

Effect of ammonium and nitrate supplies on nitrogen and sucrose metabolism of Cabernet Sauvignon (Vitis vinifera cv.)

How Plant Functional Traits of Dominant Species Respond to Fencing and Water-Nitrogen Addition in Horqin Grassland, China

Classification of Soybean Genotypes Assessed Under Different Water Availability and at Different Phenological Stages Using Leaf-Based Hyperspectral Reflectance

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