ORIGINAL RESEARCH article

Front. Plant Sci., 08 June 2023

Sec. Plant Abiotic Stress

Volume 14 - 2023 | https://doi.org/10.3389/fpls.2023.1172078

Effect of nitrogen application on enhancing high-temperature stress tolerance of tomato plants during the flowering and fruiting stage

  • Jiangsu Key Laboratory of Agricultural Meteorology, School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, China

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Abstract

This study was conducted to investigate the effects of nitrogen application on growth, photosynthetic performance, nitrogen metabolism activities, and fruit quality of tomato plants under high-temperature (HT) stress. Three levels of daily minimum/daily maximum temperature were adopted during the flowering and fruiting stage, namely control (CK; 18°C/28°C), sub-high temperature (SHT; 25°C/35°C), and high-temperature (HT; 30°C/40°C) stress. The levels of nitrogen (urea, 46% N) were set as 0 (N1), 125 (N2), 187.5 (N3), 250 (N4), and 312.5 (N5) kg hm2, respectively, and the duration lasted for 5 days (short-term). HT stress inhibited the growth, yield, and fruit quality of tomato plants. Interestingly, short-term SHT stress improved growth and yield via higher photosynthetic efficiency and nitrogen metabolism whereas fruit quality was reduced. Appropriate nitrogen application can enhance the high-temperature stress tolerance of tomato plants. The maximum net photosynthetic rate (PNmax), stomatal conductance (gs), stomatal limit value (LS), water-use efficiency (WUE), nitrate reductase (NR), glutamine synthetase (GS), soluble protein, and free amino acids were the highest in N3, N3, and N2, respectively, for CK, SHT, and HT stress, whereas carbon dioxide concentration (Ci), was the lowest. In addition, maximum SPAD value, plant morphology, yield, Vitamin C, soluble sugar, lycopene, and soluble solids occurred at N3-N4, N3-N4, and N2-N3, respectively, for CK, SHT, and HT stress. Based on the principal component analysis and comprehensive evaluation, we found that the optimum nitrogen application for tomato growth, yield, and fruit quality was 230.23 kg hm2 (N3-N4), 230.02 kg hm2 (N3-N4), and 115.32 kg hm2 (N2), respectively, at CK, SHT, and HT stress. Results revealed that the high yield and good fruit quality of tomato plants at high temperatures can be maintained by higher photosynthesis, nitrogen efficiency, and nutrients with moderate nitrogen.

1 Introduction

Tomato (Solanum lycopersicum L.) is one of the most widely grown, consumed, and produced crops in the greenhouse worldwide (Liu and Wang, 2020). It has attracted attention due to its rich Vitamin C and other nutrients, especially lycopene, which is related to its effects as a natural antioxidant (Alenazi et al., 2020; Imran et al., 2020).

Global warming has continued to raise concerns in recent years (Marlon et al., 2021; Hoffmann et al., 2022). The effect of global warming may cause irreversible damage to the growth and development of plants (Mathur et al., 2014; Ezquer et al., 2020). Tomato is a temperature-loving crop and is sensitive to temperature throughout fertility (Birje et al., 2020; Hao et al., 2020). The optimum growth temperature of tomatoes is between 18°C and 32°C (Berry and Bjorkman, 1980; Van Ploeg and Heuvelink, 2005). Prolonged exposure to temperature exceeding this range will restrict the growth and production of tomatoes more frequently and seriously (Bertin et al., 2000; Nicola et al., 2009). Therefore, global warming will negatively affect the growth and productivity of tomato plants, especially in the summer seasons.

High temperature (HT) has adverse effects on photosynthesis, such as significantly reducing the maximum net photosynthetic rate (PNmax), apparent quantum efficiency (AQE), and light-compensation point (LCP), and significantly increasing the light-saturation point (LSP) (Djanaguiraman et al., 2020; Li et al., 2023). Previous studies demonstrated that gas exchange and photosynthesis had marked reduction under HT stress due to the inhibition of chloroplast and photosystem II (PSII) activity (Salvucci and Crafts-Brandner, 2004; Allakhverdiev et al., 2008). HT stress also reduces nitrogen metabolism via lower photosynthesis, resulting in the loss of nutrients (Prasad et al., 2008; Hammer et al., 2018). In addition, HT stress also influences morphological symptoms in tomato plants after the decline of photosynthesis and metabolism appear. It is well known that HT stress can reduce cell division and restrict cell elongation, thereby delaying plant growth (Ashraf and Harris, 2004; Camejo et al., 2005). Since plants cannot maintain some fundamental processes, HT stress may severely affect plant growth, yield, and fruit quality (Wahid et al., 2007; Bita and Gerats, 2013).

Although high temperatures have many adverse effects on plants, nitrogen application can enhance high-temperature stress tolerance (James et al., 2018). First, nitrogen can increase the photosynthesis and the scavenging capacity of reactive oxygen species, which in turn improves leaves to resist high-temperature adversity (Liu et al., 2019). Second, the smooth and efficient functioning of the nitrogen metabolic system in the leaves is ensured with increased nitrogen application, improving the nitrogen metabolism, and reducing the damage caused by HT stress (Iqbal et al., 2020; Ru et al., 2022). Specifically, excessive nitrogen application at high-temperature stress will exacerbate the damage to plants, which is characterized by lower yield (Peng et al., 2017).

Plants will continue to be challenged by HT stress in the future. Temperature and nitrogen both play important roles in plant growth (Sun et al., 2012; Alvar-Beltrán et al., 2019). However, to our knowledge, little is known about the effects of nitrogen application on tomato growth, development, and fruit quality under HT stress. In our study, we hypothesize that appropriate nitrogen would effectively increase the photosynthetic progress, and nitrogen metabolism and further affect the yield and fruit quality of tomato plants. Our objectives were (1) to compare the growth, photosynthetic performance, nitrogen metabolism activities, and fruit quality of tomatoes under different temperatures, (2) to investigate the effects of nitrogen application on the growth, yield, and fruit quality of tomatoes under high-temperature stress, (3) to determine the optimum nitrogen level to be applied under different high-temperature conditions, hoping to provide scientific contribution for high yield and good fruit quality of tomatoes in the greenhouse.

2 Materials and methods

2.1 Plant material and experimental treatments

The experiments were conducted in a Venlo-type greenhouse of the Nanjing University of Information Science and Technology (NUIST) from March 2022 to August 2022. Tomato seedlings (Solanum lycopersicum L., “Caesar”) were planted into pots of 30 cm (height) × 30 cm (upper diameter) × 25 cm (lower diameter) filled with peat soil: perlite: vermiculite = 2:1:1 (v/v/v). The soil was a medium loam with pH=7.4, 12.93 g kg-1organic carbon (C), 22.29 g kg-1 organic matter content, 69.36 mg kg-1 effective phosphorus (P), 13.80 mg L-1 available potassium (K), and 0.13% total nitrogen (N). To ensure proper soil nutrient content, base fertilizers were applied in phosphorus (calcium superphosphate, 12%P2O5, 200 kg hm2) and potassium (potassium sulfate, 52%K2O, 300 kg hm2). Five levels of nitrogen (urea, 46%N) were set as 0 (0N, N1), 125 (0.5N, N2), 187.5 (0.75N, N3), 250 (1.0N, N4), and 312.5 (1.25N, N5) kg hm2 (250 kg hm2 as the percentage of standard nutrient requirements (Yang et al., 2017; Wang et al., 2020)). The ratio of nitrogen was 30%:30%:20%:20% at the seedling, flowering and fruiting, green ripening, and color change stages, respectively.

Uniform-sized tomato seedlings with one young fruit were chosen to conduct high-temperature and nitrogen experiments during the flowering and fruiting stage. Three levels of daily minimum/daily maximum temperature were adopted, namely control (CK; 18°C/28°C), sub-high temperature (SHT; 25°C/35°C), and high-temperature (HT; 30°C/40°C) stress, and the duration lasted for 5 days. All seedlings were divided into 15 groups with each group containing 9 pots (Table 1). Plants uptaking nitrogen after 5 days were moved into artificial climate chambers (BDW 40, Conviron, Canada). During the treatment, the relative humidity was set at 50-80%, and the light was 6:00-18:00 (daytime) with photosynthetic active radiation between 0 to 1000 μmol m-2 s-1.

Table 1

Nitrogen treatment (kg hm-2)Temperature treatment (daily maximum/daily minimum)
CK (28°C/18°C)SHT (35°C/25°C)HT (40°C/30°C)
N1:0N (0kg hm-2)CKN1SHTN1HTN1
N2:0.5N (125kg hm-2)CKN2SHTN2HTN2
N3:0.75N (187.5kg hm-2)CKN3SHTN3HTN3
N4:1.0N (250kg hm-2)CKN4SHTN4HTN4
N5:1.25N (312.5kg hm-2)CKN5SHTN5HTN5

Treatment combination of nitrogen level and temperature level for tomato in the greenhouse.

CK, SHT and HT are the control, sub-high temperature and high temperature treatment, respectively.

After the treatments, all plants were removed to the Velno-type greenhouse for the recovery period. Measurements were taken with 3 random pots at the end of treatments and conducted on the third to fifth functional leaves. Additionally, to measure the fruit quality, three tomato fruits of relatively uniform size and without mechanical damage were chosen at maturity for each treatment. Water is supplied twice a day during the treatment and at least every two days (in most cases once or twice a day) during the seedling and recovery stages. All plants were irrigated to 80% field capacity (monitoring by soil moisture content tester) to avoid water deficiency.

2.2 The methods of measurement

2.2.1 Gas exchange parameters and SPAD value

Gas exchange parameters, including the stomatal conductance (gs) and intercellular carbon dioxide concentration (Ci), were measured by an LI-6400XT photosynthesis system (LI-COR Inc., Lincoln, NE, USA) from 9:00-11:00. The leaf chamber temperature was set to 25°C, the relative humidity was set to 65%, and the CO2 concentration was kept at 390 μmol mol–1. Photosynthetically active radiation (PAR) was set to 1800, 1600, 1400, 1200, 1000, 800, 600, 400, 200, 150, 100, 50, and 0 μmol m-2 s-1, respectively. The stomatal limit (Ls) value was determined by equation (1).

Where Ca indicates the atmospheric CO2 concentration.

And

The PNmax was obtained by the photosynthesis-light response curves based on the photosynthetic electron transport of photosystem II in C3 and C4 species (Ye, 2012; Ye et al., 2013).

SPAD value was measured by Chlorophyll Meter Model (SPAD-502, Konica Minolta, Japan).

2.2.2 Nitrogen metabolism and nutrients

The third to fifth function leaves were picked from the top of tomato plants, frozen rapidly with liquid nitrogen for 15 min, and then store at -20°C for measurement. Nitrate reductase (NR, EC 1.6.6.1) was determined according to the method of Miflin and Habash (2002). NR can be expressed in terms of the amount of nitroso-nitrogen produced, which has a maximum absorption peak at 540nm. Glutamine synthetase (GS, EC 2.7.7.42) activity was measured using the method of Du et al. (2008). One unit of GS activity was determined by the absorbance values at 540 nm using the spectrophotometer (UV-1800, Shimadzu, Japan). The NR and GS activities were calculated per germ of fresh weight (FW).

Soluble protein was determined by the coomassie brilliant blue method (Sedmak and Grossberg, 1977), which was measured by the absorbance of the solution at 595 nm, and the protein content was found by the standard curve. The content of free amino acids was determined by the ninhydrin chromogenic method according to Friedman (2004), which was colorimetric at 570 nm.

2.2.3 Morphological characters

Plant height, stem diameter, main root length, and leaf area were measured by tape ruler, electronic vernier caliper, rule, and leaf area meter (LI-3100C, Li-Cor, Inc., USA), respectively. Plant height growth, stem diameter height growth, and leaf area index (LAI) were calculated as:

Where 0d and 5d are the value measured at 0d and 5d, respectively.

2.2.4 Fruit quality

Extrinsic quality (single fruit weight, fruit length, maximum and minimum fruit diameter, etc.) and intrinsic quality (Vitamin C, anthocyanin, organic acid content, and soluble sugar content, etc.) are two aspects of fruit quality (Ashalley, 2014). Fruit hardness, single fruit weight, and maximum and minimum fruit diameter were measured by fruit hardness meter (GY-4, Aipli, China), electronic balance (ES-220D, China), and electronic Vernier caliper, respectively. Fruit shape index and yield were calculated as:

The content of Vitamin C (VC), titratable acid, and soluble sugar was determined by the 2,6-dichloroindophenol titrimetric (JAOAC, 1984), micro alkaline titration (Wei, 2020), and the anthrone method (Wei, 2020), respectively. Lycopene was determined according to Zhao et al. (2022). Nitrate (NO3-) was determined according to Wang et al. (2017). Soluble solids were measured by a hand-held refractometer (ATC, Aipli, China).

2.3 Statistical analysis

2.3.1 Variance analysis

All data were the mean ± standard deviation (SD) of 3 biological replications. SPSS 24.0 (SPSS, Chicago, IL, USA) for one–way analysis of variance (ANOVA), interaction analysis, Duncan’s multiple comparisons (at P=0.05), correlation analysis, and principal component analysis.

2.3.2 Principal component analysis

The indicators of tomato photosynthesis, nitrogen metabolism, nutrients, growth, and fruit quality were evaluated by correlation analysis and principal component analysis. The comprehensive index (CI) is constructed by the indicators with high contribution rates and most of the information in principal component analysis (Li et al., 2019). The standardized values, weights, and comprehensive index are calculated as follows.

This study uses the opposite difference approach (8) to normalize the indicators so that their ranges were between [0,1].

Where is the standardized value of the ith indicator, (i=1, 2, 3, …, 23); is the minimum value of the ith indicator; is the maximum value of the ith indicator.

The weight of the indicators in Principal Component Ak can be calculated as:

Where is the weight of the ith indicator in Ak, (k=1, 2, …., p); is the loadings of the ith indicator in Ak; is the eigenvalues of Ak.

The results of the comprehensive index in Principal Component Ak are obtained as:

Where is the comprehensive index of Ak.

The results of comprehensive evaluation in Principal Component analysis are obtained as:

Where is the contribution rate of Principal Component Ak; is the weight of Principal Component Ak.

3 Results

3.1 Effects of nitrogen application on gas exchange parameters and SPAD value under high-temperature stress

High-temperature (HT) stress had negative impacts on the gas exchange parameters of tomato leaves, which was characterized by the decrease in PNmax, gs, LS, and WUE but the increase in Ci (Table 2). Compared to the CK and HT, the PNmax, gs, LS, and WUE in the SHT group increased significantly, but the Ci was reduced significantly (P<0.05). The PNmax, gs, LS, Ci, and WUE were significantly influenced by appropriate nitrogen applications under different temperature treatments. Maximum PNmax, gs, LS and WUE occurred at CKN3, SHTN3, and HTN2, respectively, whereas the Ci was the lowest. PNmax, gs, and WUE in HTN2 were lower than those of the CKN3. However, those parameters significantly increased by 15.54%, 22.45%, and 13.96%, respectively, under SHTN3. LS showed no significant difference among CKN3, SHTN3, and HTN2. Furthermore, Ci under HTN2 was 5.43% higher than that of CKN3, but no significant differences between CKN3 and SHTN3 (P>0.05).

Table 2

TreatmentPNmax (μmol m-2s-1)gs (mol m-2 s-1)Ci (μmol mol-1)LsWUE (μmol mmol-1)
CKN16.34 ± 0.07 k0.04 ± 0.01 i363.82 ± 1.82 a0.09 ± 0.01 d1.11 ± 0.13 hi
CKN28.62 ± 0.13 h0.08 ± 0.01 i358.63 ± 1.19 b0.10 ± 0.01 d1.42 ± 0.05 gh
CKN314.54 ± 0.08 d0.33 ± 0.05 ef329.78 ± 2.48 d0.18 ± 0.03 bc2.56 ± 0.17 d
CKN417.82 ± 0.26 b0.49 ± 0.04 bc307.01 ± 2.79 g0.23 ± 0.03 a3.94 ± 0.11 b
CKN57.89 ± 0.14 i0.06 ± 0.01 i360.83 ± 2.42 ab0.10 ± 0.03 d1.49 ± 0.12 g
SHTN110.30 ± 0.12 g0.22 ± 0.05 h335.29 ± 1.86 c0.16 ± 0.01 c1.83 ± 0.14 f
SHTN214.65 ± 0.39 d0.37 ± 0.04 de325.71 ± 1.59 e0.19 ± 0.01 abc2.68 ± 0.18 d
SHTN320.59 ± 0.27 a0.60 ± 0.05 a307.37 ± 1.14 g0.23 ± 0.01 a4.49 ± 0.24 a
SHTN418.00 ± 0.09 b0.50 ± 0.02 b309.26 ± 1.81 g0.23 ± 0.02 a3.90 ± 0.03 b
SHTN516.03 ± 0.17 c0.43 ± 0.02 cd317.60 ± 1.45 f0.21 ± 0.02 ab3.23 ± 0.09 c
HTN16.11 ± 0.12 k0.04 ± 0.01 i363.08 ± 3.22 a0.09 ± 0.01 d1.15 ± 0.15 hi
HTN214.69 ± 0.20 d0.38 ± 0.05 de323.68 ± 2.53 e0.19 ± 0.02 abc2.64 ± 0.11 d
HTN312.74 ± 0.05 e0.30 ± 0.01 fg330.49 ± 0.98 d0.17 ± 0.01 bc2.26 ± 0.12 e
HTN410.85 ± 0.12 f0.24 ± 0.01 gh332.86 ± 1.28 cd0.17 ± 0.02 bc1.92 ± 0.07 f
HTN57.03 ± 0.11 j0.05 ± 0.01 i361.66 ± 1.57 ab0.10 ± 0.01 d1.20 ± 0.09 hi
Temperature (T)**********
Nitrogen (N)**********
T x N**********

Effects of nitrogen application on gas exchange parameters of tomato leaves under high-temperature stress.

Different lowercase letters indicate significant differences among treatments at the P< 0.05 level by Duncan’s test. CK, SHT and HT are the control, sub-high temperature and high temperature treatment, respectively. Values are mean ± SD (n = 3). ** indicates significance at P ≤ 0.01.

The SPAD value was also influenced by HT stress (Figure 1). Meanwhile, appropriate nitrogen application significantly mitigated the effects of HT stress on SPAD value, with a marked improvement in CKN3, SHTN4, and HTN2. SPAD value under CKN3 was 13.70% higher than that of HTN2, while no significant difference with SHTN3.

Figure 1

3.2 Response of nitrogen application on nitrogen metabolism and nutrients to high-temperature stress

The responses of nitrogen application on nitrogen metabolism and nutrients to HT stress were shown in Figure 2. The NR, GS, soluble protein, and free amino acids in CK were significantly greater than in HT but were lower than in SHT, without nitrogen application. Appropriate nitrogen application significantly increased the contents of NR, GS, soluble protein, and free amino acids in the leaves of tomato plants. The NR, GS, soluble protein and free amino acids were highest in CKN3, SHTN3, and HTN2, respectively. Compared to CKN3, the activity of NR and GS was greater than HTN2, whereas was significantly reduced by 21.26% and 17.14%, respectively, under SHTN3. Similar to NR and GS, free amino acids decreased significantly by 11.91% in HTN2 but improved significantly by 2.19% in SHTN3. Soluble protein under CKN3 was 14.90% lower than that of SHTN3. However, for soluble protein, there was no significant difference between CKN3 and HTN2 treatments.

Figure 2

3.3 Effects of nitrogen application on morphological characters under high-temperature stress

HT stress was reflected in the morphological characters (Table 3). Without nitrogen application, compared to CK, the plant height growth, stem diameter growth, main root length, and LAI were inhibited under HT, whereas were improved under SHT. Nitrogen application significantly affected the morphological characters of tomato plants under high-temperature stress. The plant height growth in CK increased with the increase of N1-N3, while they decreased with a further increase of N4-N5. Maximum plant height growth occurred at CKN3, SHTN4, and HTN3, respectively. Similarly, stem diameter growth was the highest in CKN3, SHTN3, and HTN3. The stem diameter growth in the CKN3 was greater than that of the HTN3, while significantly decreasing by 57.89% under the SHTN3. The main root length and LAI also had appropriate nitrogen application under different temperature treatments. Compared to CK, the maximum main root length and LAI were significantly reduced by 6.76% and 20.29%, respectively, under HT conditions. In contrast, these two indicators under SHT were significantly increased by 3.72% and 50.72%, respectively, compared to the CK group.

Table 3

TreatmentPlant height growth (cm)Stem diameter growth (mm)Main root length (cm)LAI
CKN13.04 ± 0.07 hi-0.27 ± 0.13 e5.67 ± 0.10 g0.89 ± 0.06 g
CKN23.29 ± 0.02 h0.34 ± 0.08 bcd5.98 ± 0.05 f1.04 ± 0.06 f
CKN34.45 ± 0.18 e0.57 ± 0.02 b8.78 ± 0.05 b1.22 ± 0.06 e
CKN43.71 ± 0.08 g0.50 ± 0.07 bc8.88 ± 0.14 b1.38 ± 0.06 d
CKN54.15 ± 0.34 f-0.16 ± 0.27 e5.09 ± 0.09 hi1.14 ± 0.06 ef
SHTN15.33 ± 0.12 d-0.08 ± 0.20 e6.26 ± 0.05 e1.45 ± 0.04 d
SHTN25.91 ± 0.06 c0.25 ± 0.08 d6.45 ± 0.02 e1.72 ± 0.02 c
SHTN36.30 ± 0.10 b0.90 ± 0.03 a5.20 ± 0.15 hi1.92 ± 0.04 b
SHTN47.49 ± 0.14 a0.54 ± 0.02 bc9.21 ± 0.26 a2.08 ± 0.07 a
SHTN56.22 ± 0.02 b0.31 ± 0.10 bcd5.36 ± 0.04 h1.62 ± 0.06 c
HTN12.55 ± 0.09 j-0.50 ± 0.04 f5.08 ± 0.10 hi0.75 ± 0.05 h
HTN22.84 ± 0.17 ij0.31 ± 0.02 cd8.28 ± 0.28 c0.84 ± 0.03 gh
HTN33.00 ± 0.11 i0.34 ± 0.05 bcd6.73 ± 0.05 d1.10 ± 0.07 f
HTN42.76 ± 0.10 ij-1.07 ± 0.09 h6.18 ± 0.11 ef0.81 ± 0.06 gh
HTN52.27 ± 0.14 k-0.80 ± 0.09 g4.97 ± 0.10 i0.73 ± 0.04 h
Temperature (T)********
Nitrogen (N)********
T x N********

Effects of nitrogen application on morphological characters of tomato leaves under high-temperature stress.

Different lowercase letters indicate significant differences among treatments at the P< 0.05 level by Duncan’s test. CK, SHT and HT are the control, sub-high temperature and high temperature treatment, respectively. Values are mean ± SD (n = 3). LAI, leaf area index. ** indicates significance at P ≤ 0.01.

3.4 Response of nitrogen application on fruit quality to high-temperature stress

The effects of nitrogen application on fruit shape index, fruit hardness, and yield of tomatoes under HT stress were shown in Table 4. The fruit shape index showed no significant difference among treatments of N2-N3 except N4-N5. However, fruit hardness was no significant difference among different temperature treatments. The yield in CK was significantly greater than in HT but was no significant difference in SHT, without nitrogen application. Appropriate nitrogen application could enhance high-temperature stress tolerance. The yield was the highest in N4 under CK and SHT treatment, while the highest occurred at N2 under HT treatment. Compared to HTN2, the yield was significantly increased by 104.54% and 110.04%, respectively, for CKN4 and SHTN4 treatments.

Table 4

TreatmentFruit shape indexFruit hardness (kg cm-2)Yield (t hm-2)
CKN10.96 ± 0.07 abc2.16 ± 0.20 abcd4.54 ± 0.89 ef
CKN20.93 ± 0.04 abcde2.12 ± 0.38 abcd9.47 ± 2.13 c
CKN30.89 ± 0.03 bcdef1.45 ± 0.05 cd15.38 ± 2.67 b
CKN40.92 ± 0.01 abcde1.51 ± 0.08 cd18.94 ± 4.32 ab
CKN50.94 ± 0.02 abcd1.33 ± 0.24 d7.45 ± 1.31 cde
SHTN10.97 ± 0.01 ab2.53 ± 0.12 ab5.01 ± 0.22 def
SHTN20.83 ± 0.02 def3.03 ± 0.22 a9.35 ± 0.93 c
SHTN30.84 ± 0.07 cdef2.67 ± 0.31 ab15.76 ± 2.55ab
SHTN40.91 ± 0.05 abcde1.82 ± 0.22 bcd19.45 ± 1.36 a
SHTN50.96 ± 0.03 abc2.55 ± 0.63 ab4.21 ± 1.05 efg
HTN11.03 ± 0.06 a2.68 ± 0.07 ab0.66 ± 0.02 g
HTN20.86 ± 0.10 bcdef2.60 ± 0.32 ab9.26 ± 1.06 c
HTN30.83 ± 0.04 cdef2.51 ± 0.72 ab8.68 ± 0.29 cd
HTN40.80 ± 0.07 ef2.42 ± 0.03 abc7.73 ± 0.36 cde
HTN50.76 ± 0.10 f2.85 ± 1.11 a2.27 ± 0.97 fg
Temperature (T)*****
Nitrogen (N)**n.s.**
T x N*n.s.**

Effects of nitrogen application on external quality of tomato fruit under high-temperature stress.

Different lowercase letters indicate significant differences among treatments at the P< 0.05 level by Duncan’s test. CK, SHT and HT are the control, sub-high temperature and high temperature treatment, respectively. Values are mean ± SD (n = 3). n.s., *, ** indicate non-significance and significance at P ≤ 0.05 and 0.01, respectively.

HT stress inhibited the intrinsic quality of tomato fruit, while nitrogen application could significantly reduce the negative effects of HT stress (Figure 3). The VC, soluble sugar, lycopene, and soluble solids in CK and SHT increased with the increase of N1-N4, while they decreased with a further increase of N5. However, these four indicators in HT increased with the increase of N1-N3, while they decreased with a further increase of N4-N5. Maximum VC occurred at N4, N4, and N3, respectively, for CK, SHT, and HT conditions. Compared to CKN4, the VC was significantly decreased by 17.68% and 20.47%, respectively, for SHTN4 and HTN3 treatments. Similarly, the contents of soluble sugar, lycopene, and soluble solids in the SHT and HT groups were lower than those of the CK group. On the contrary, the titratable acid and NO3- were lowest in N3/N4, N3/N4, and N2/N3, respectively, for CK, SHT, and HT conditions. However, minimum titratable acid and NO3- were no significant differences among treatments.

Figure 3

3.5 Comprehensive evaluation of tomato yield, fruit quality, and related traits under different treatments

3.5.1 Correlation analysis between different traits

Figure 4 showed that there were different degrees of positive and negative correlations between the trait indicators of the different treatments. The absolute values of the correlation coefficients for most indicators ranged from 0.60 to 0.98. Gas exchange parameters and SPAD value were highly significantly correlated (P<0.01), with the absolute values of the correlation coefficients ranging from 0.60 to 0.98. It can be assumed that the gas exchange parameters and SPAD value provide 60% to 98% of the common information. Similarly, indicators of nitrogen metabolism and nutrients had a highly significant positive correlation, providing 61% to 81% of the common information. The majority of morphological characters showed highly significant positive correlations, with correlation coefficients ranging from 0.45 to 0.59. Furthermore, the correlation coefficients for yield, VC, soluble sugar, soluble solids, and lycopene among the fruit quality varied from 0.47 to 0.77, giving 47% to 77% of the common information.

Figure 4

The 23 indicators measured contained a great deal of information and were highly correlated with each other. However, they were not suitable for determining indicators of nitrogen regulation under HT stress. Therefore, a principal component analysis was introduced to reduce the number of indicators to a few aggregated indicators for further analysis, without losing too much information.

3.5.2 Principal component and fitting analysis

The principal component analysis of the 23 indicators showed that the cumulative variance contribution of the first four components had reached 86.255%, satisfying the principle of eigenvalues greater than 1 and cumulative contribution greater than 85% (Table 5). Table 5 showed that the first principal component could characterize 58.676% of the information, with PNmax, WUE, gs, Ci, Ls, SPAD value, GS, soluble sugar, yield, stem diameter growth, NR, free amino acids, soluble protein, LAI, and lycopene having larger absolute values of the eigenvectors. PNmax is the strongest indicator of photosynthesis and has the largest eigenvector, containing information common with gs, WUE, Ci, Ls, and SPAD value. Thus, PNmax was selected. GS can represent NR, free amino acids, and soluble protein as an indicator of the strength of nitrogen metabolism and be therefore selected. Similarly, yield, stem diameter growth, soluble sugar, and lycopene were selected. The larger absolute values of eigenvectors in the second principal components were fruit shape index, NO3- and titratable acid. However, the third and fourth principal components were fruit hardness and soluble solids, plant height growth and main root length, respectively.

Table 5

Principle component factorPC1PC2PC3PC4
Eigenvalue13.4952.7612.4941.088
Variance contribution rate (%)58.67612.00310.8464.731
Cumulative variance contribution (%)58.67670.67881.52486.255
EigenvectorPNmax0.262-0.094-0.090-0.101
WUE0.255-0.063-0.104-0.102
gs0.255-0.111-0.126-0.150
Ci-0.2500.1000.1100.222
Ls0.249-0.109-0.111-0.190
SPAD value0.247-0.0150.0550.298
GS0.2450.0380.0070.019
Soluble sugar0.2410.0360.137-0.253
Yield0.2410.1140.172-0.039
Stem diameter growth0.2250.165-0.0660.051
NR0.225-0.117-0.1880.250
Free amino acids0.224-0.2210.0490.142
Soluble protein0.223-0.019-0.019-0.031
LAI0.2140.060-0.3000.279
Lycopene0.2140.1190.2570.099
VC0.2000.2620.067-0.286
Plant height growth0.1880.066-0.3310.421
Main root length0.1790.1920.195-0.312
NO3--0.0110.484-0.0460.152
Fruit shape index0.055-0.4760.175-0.051
Soluble solids0.175-0.0130.4300.160
Fruit hardness0.0730.3430.4030.238
Titratable acid-0.0180.374-0.399-0.281

Contribution rate of principle components and eigenvectors of each index.

PNmax, the maximum net photosynthetic rate; gs, stomatal conductance; Ci, carbon dioxide concentration; LS, stomatal limit value; WUE, water-use efficiency; NR, nitrate reductase; GS, glutamine synthetase; LAI, leaf area index; VC, Vitamin C; NO3-, nitrate.

Although the four principal components above combined most of the indicator information, the characteristic information overlapped to some extent, and the number of input parameters was large. Therefore, further screening was needed. PNmax, yield, soluble sugar, GS, stem diameter growth, and lycopene were selected to construct the CI, considering the correlation, the contribution of principal component analysis and eigenvectors, the biological significance of the indicators and the ease of determination.

Soluble sugar, GS, yield, PNmax, stem diameter growth, and lycopene were again subjected to principal component analysis and the eigenvectors obtained were 0.419, 0.417, 0.416, 0.413, 0.400, and 0.384, respectively (Table 6). The standardized indicators and eigenvectors were used to CI under different treatments.

Table 6

Principle component factorPC1
Eigenvalue4.850
Variance contribution rate (%)80.829
Cumulative variance contribution (%)80.829
EigenvectorSoluble sugar0.419
GS0.417
Yield0.416
PNmax0.413
Stem diameter growth0.400
Lycopene0.384

Contribution of principal components and eigenvectors of each index after the secondary screening.

GS, glutamine synthetase; PNmax, the maximum net photosynthetic rate.

The CI was highest at moderate nitrogen application under different temperatures, decreasing at low and high nitrogen applications (Figure 5). The response fits the regression models:

Figure 5

Based on the regression equations, the highest CI of CK, SHT, and HT were obtained at the nitrogen of 230.23 kg hm2 (N3-N4), 230.02 kg hm2 (N3-N4), and 115.32 kg hm2 (N2), respectively.

4 Discussion

High temperature is one of the main disasters affecting the growth, yield, and fruit quality of plants (Mathur et al., 2014). The effect of high-temperature stress on plants receives more attention as the frequency and intensity of high-temperature stress increase globally (IPCC, 2021). Nitrogen plays an important role in plant growth, development, and yield. Appropriate nitrogen application can significantly improve high-temperature stress tolerance (James et al., 2018). In this study, we explored how nitrogen affects tomato plants under high-temperature stress.

First, short-term high-temperature stress affects the photosynthetic process of tomato leaves. Photosynthesis is one of the most fundamental metabolic activities in plants (Yin et al., 2006). The PNmax was inhibited under high-temperature (HT) stress, accompanied by different declines of gs, Ls, and WUE (Table 2). However, Ci increased, which indicated that the decrease was due to non-stomatal limitation and mainly resulted from photosystem damage, and inhibition of ribulose bisphosphate (Rubisco) (Farquhar and Sharkey, 1982; Liu et al., 2013). In addition, HT also significantly decreased the SPAD value of tomato leaves (Figure 2), which reflected that the chloroplast development and photosynthetic performance were inhibited (Lu et al., 2019). Interestingly, short-term sub-high temperature (SHT) stress had positive impacts on the photosynthetic process, which was characterized by higher PNmax, gs, Ls, WUE, SPAD value, and lower Ci, compared to CK. The SHT may improve chloroplast and cytoplasmic structure. Consequently, the Rubisco carboxylation activities and ribulose diphosphate (RuBP) carboxylation regeneration ability increased, thereby maintaining higher photosynthetic efficiency (Dias and Brüggemann, 2010; Han et al., 2019; Li et al., 2020). Nitrogen has positive impacts on photosynthetic reactions (Hamner, 1936; Liu et al., 2013; Ru et al., 2022). Appropriate nitrogen application not only can alleviate the damage of Chl-containing structure and function by high-temperature stress but also maintain the photosynthetic capacity of chloroplasts under high-temperature stress. In our study, maximum PNmax, gs, Ls, WUE, and SPAD value occurred at N2 under HT treatments. Similarly, these photosynthetic parameters were the highest in N3, for CK and SHT stress. High-temperature stress was the main cause of the decrease in photosynthetic rate when nitrogen was overused, which was similar to the result of Han et al. (2019).

Second, nitrogen metabolism is tightly associated with nitrogen uptake and photosynthesis and is also closely related to the ultimate life state of the plants, such as growth and development under stress conditions (Xu and Zhou, 2006; Liu et al., 2013; Shu et al., 2016). In this study, short-term HT stress significantly hampered nitrogen metabolism, which further influenced the content of nutrients (Figure 2). Previous studies suggested that the decrease in nitrogen metabolism was due to the increase of NH4+ accumulation in plants, which hindered ammonia assimilation and ATP synthesis required for nitrate (Crawford and Glass, 1998; Yuan et al., 2017). However, under short-term SHT stress, the content of soluble protein and free amino acids increased in tomato leaves, accompanied by different improvements in the activity of NR and GS. These results showed that short-term SHT stress could stimulate enzyme activity in plants. Appropriate nitrogen can effectively enhance the high-temperature tolerance of tomato plants. The findings had also been confirmed on wheat (Ru et al., 2022), cotton (Iqbal et al., 2020), etc. In this study, NR, GS, soluble protein, and free amino acids were the highest in N3-N4, N3-N4, and N2-N3, respectively, for CK, SHT, and HT stress.

Third, plant morphology is also significantly affected by high-temperature stress (Źróbek-Sokolnik, 2012; Fahad et al., 2016). The plant height growth, stem diameter growth, main root length, and LAI were remarkably declined in tomatoes (Table 3), which were recognized as sensitive to HT stress. In contrast, short-term SHT stress improved plant morphology. An early study indicated that the maintenance of normal transfer and distribution of photosynthetic products in tomatoes ensured plant growth and development (Xu et al., 2020). Plant morphology changed with nitrogen levels (Boussadia et al., 2010; Bhuvaneswari et al., 2014; Razaq et al., 2017). For example, the results of LAI were consistent with those of previous studies, which found that moderate nitrogen with increased LAI (Meier and Leuschner, 2008). In addition, appropriate nitrogen can effectively alleviate the symptoms brought by high-temperature stress. The high LAI of appropriate nitrogen under high-temperature stress was caused by the increase of the photosynthetic rate during growth and the increase of facilitating nutrient uptake.

Therefore, tomato plants are affected by many factors. The fruit quality is also sensitive to changes in the environment (Gajc-Wolska et al., 2008; Alenazi et al., 2020). In our study, under HT stress, the yield and intrinsic fruit quality were both significantly decreased (Table 4; Figure 3). This result was also consistent with Hernández et al. (2022). Although the intrinsic quality was also obviously reduced after SHT stress, which was characterized by lower VC, soluble sugar, lycopene, and soluble solids, SHT stress had an improvement in yield. These results indicated that short-term SHT stress maintained higher photosynthetic efficiency and nitrogen metabolism to uptake nutrients, thereby maintaining the high growth and yield of tomatoes. However, high yield is not always conducive to good fruit quality (Sansavini and Corelli-Grappadelli, 1996). Appropriate nitrogen can effectively enhance the heat stress tolerance of plants (Iqbal et al., 2020). On one hand, moderate nitrogen can increase the absorbance of light energy by increasing the leaf area, thus increasing the rate of photosynthesis (Fois et al., 2009; Gautam et al., 2021). On the other hand, it can enhance the activities of nitrogen metabolism via higher photosynthesis, causing enough nutrients, which in turn increases the yield and fruit quality (Nava et al., 2007; Ru et al., 2022). Consequently, the highest yield and fruit quality occurred at N3-N4, N3-N4, and N2-N3, respectively, for CK, SHT, and HT stress.

Temperature and nitrogen interaction affects fruit development and quality through the regulation of various plant physiological processes. For example, temperature and nitrogen interaction might regulate the balance between vegetative and reproductive growth in plants. Additionally, the interaction between nitrogen and temperature might influence the activity of enzymes involved in the biosynthesis of plant hormones such as auxins and cytokinins, which play a critical role in fruit development and quality (Ding et al., 2013). The production and signaling of reactive oxygen species (ROS) in plants have been shown to influence fruit development and quality (Tian et al., 2013). Therefore, temperature and nitrogen interaction might influence fruit development and quality via ROS production and signaling. In summary, the mechanism of nitrogen and temperature interaction in co-regulating fruit development and quality involves the regulation of several physiological processes such as plant metabolic rate, gene expression, and hormone signaling, which collectively influence fruit growth, development, and quality.

Principal component analysis is a very useful method for evaluating objects that are influenced by many factors (Wold et al., 1987). Previous studies had demonstrated that using this method to make comprehensive evaluations was feasible (Shi et al., 2021; Xu et al., 2021). According to our results, PNmax, yield, soluble sugar, GS, stem diameter growth, and lycopene were selected to construct the CI (Table 6). PNmax plays a vital role in photosynthesis (Xu et al., 2013). Meanwhile, GS is tightly associated with some fundamental processes, including nitrogen uptake and photosynthesis (Thum et al., 2003). Soluble sugar is considered an important factor in the fruit quality and anti-adversity of plants, and it is mainly accumulated by photosynthesis (Wahid et al., 2007). Additionally, lycopene also can reflect the intrinsic fruit quality due to the pigment principally responsible for the characteristic deep-red color of ripe tomato fruits, and it also acts as a natural antioxidant (Shi and Maguer, 2000). Therefore, these six indicators could be used to construct the CI to respond to the effects of nitrogen application under high-temperature stress. Based on the CI, the tomato growth, yield, and fruit quality were the highest in 230.23 kg hm2 (N3-N4), 230.02 kg hm2 (N3-N4), and 115.32 kg hm2 (N2), respectively, at CK, SHT, and HT stress, which can provide scientific contributions for higher yield and better fruit quality of tomato plants in the greenhouse.

5 Conclusions

In this study, the growth, yield, and fruit quality of tomato plants were inhibited by short-term high-temperature (HT) stress. However, sub-high temperature (SHT) stress improved growth and yield whereas fruit quality was reduced. Appropriate nitrogen application could enhance the HT stress tolerance of tomato plants. The PNmax, gs, LS, WUE, NR, GS, soluble protein, and free amino acids were the highest in CKN3, SHTN3, and HTN2, respectively, whereas Ci, was the lowest. Maximum SPAD value, plant height growth, stem diameter growth, main root length, LAI, yield, VC, soluble sugar, lycopene, and soluble solids occurred at N3-N4, N3-N4, and N2-N3, respectively, for CK, SHT, and HT. The appropriate nitrogen maintained higher photosynthetic efficiency, nitrogen efficiency, and protein synthesis, thereby maintaining the high yield and quality of tomato plants. This study suggested that the optimum nitrogen application for tomato growth, yield, and fruit quality was 230.23 kg hm2 (N3-N4), 230.02 kg hm2 (N3-N4), and 115.32 kg hm2 (N2), respectively, at CK, SHT, and HT stress.

Statements

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.

Author contributions

JL: Methodology, Data curation, Software, Formal analysis, Writing-original draft. ZY: Conceptualization, Methodology, Validation, Supervision, Writing-original draft. FZ: Methodology, Supervision, Writing-review and editing. CL: Supervision, Writing-review and editing. All authors contributed to the article and approved the submitted version.

Funding

This work was supported by the National Natural Science Foundation of China (41975142).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2023.1172078/full#supplementary-material

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Summary

Keywords

high-temperature stress, nitrogen, tomato, abiotic stress tolerance, principal component analysis, comprehensive evaluation

Citation

Luo J, Yang Z, Zhang F and Li C (2023) Effect of nitrogen application on enhancing high-temperature stress tolerance of tomato plants during the flowering and fruiting stage. Front. Plant Sci. 14:1172078. doi: 10.3389/fpls.2023.1172078

Received

23 February 2023

Accepted

18 May 2023

Published

08 June 2023

Volume

14 - 2023

Edited by

Biao Jin, Yangzhou University, China

Reviewed by

Francisco M. Del Amor, Instituto Murciano de Investigación y Desarrollo Agrario y Alimentario (IMIDA), Spain; Hongbo Zhao, Zhejiang Agriculture and Forestry University, China

Updates

Copyright

*Correspondence: Zaiqiang Yang,

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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