Introduction

 

Drought stress has a negative influence on to the growth and development, resulting in crop yield reduction (Farooq et al. 2009). Crops show various morphological and physiological responses to drought stress (Qi et al. 2010) causing water deficits, leaf gas exchange decrease, and metabolic changes in plants (Anjum et al. 2011), which limits crop productivity (Farooq et al. 2009, 2014), reducing average yields by 50% or more (Wang et al. 2003; Farooq et al. 2014). Photosynthesis is an important biosynthetic reaction and the foundation of crop yield. The contribution of gas exchange, and especially the rate of photosynthesis, to crop productivity under sub-optimum conditions has received much attention worldwide (Samarah et al. 2010). Photosynthetic rate and chlorophyll (Chl) content are important indicators to evaluate plant health and environmental situation (Amane 2011). Senthil-Kumar et al. (2007) found that drought stress affected leaf gas exchange and enzymatic antioxidants activity, resulting in imbalance of the production of enzymatic system and the electron-transfer chain. In this case, the excess electrons can cause the production of reactive oxygen species (ROS) (Abidet al. 2016b). In this way, drought stress harms structure and function of cell, which leads to cell death (Sergi and Josep 2003). Consequently, plants have evolved an antioxidant system to protect them from ROS (Blokhina et al. 2003; Carvalho 2008). Unluckily, drought stress can affect the function of the antioxidant enzymes, thus induce lipid peroxidation damage of membrane to plant (Dat et al. 1998).

Plants’ responses to drought are extremely complicated and vary among different crops and growth stages (Aslam et al. 2015). The growth and development of crops are significantly affected by water limitation. Sarker et al. (1999) found that drought stress decreases the water potential (Ψw) and relative water content (RWC), which lead to the changes of water status in wheat. Some crops have adaptive strategies to withstand adverse conditions. Morphological plasticity, improved water use efficiency, and gene regulation are possible mechanisms of plants which respond to drought during the vegetative stage (Lotscher and Hay 1997). Optimal cultivation conditions are critical for plants to withstand subsequent drought, such as optimal rates of fertilizer application, water, and light.

Nitrogen (N) is required by crops for the synthesis of chlorophyll, proteins, and enzymes. Certainly, N is very important to increase stromal and thylakoid proteins to affect photosynthetic capacity (Ahmad et al. 2014). In agricultural production, it is one of important strategy for crop productivity increase by applying N (Ataulkarim et al. 2016). Brennan (1992) found the N availability has a great impact to the functional activity of photosynthetic apparatus. A previous study reported that plant growth and development are limited by water restrictions, especially under the condition of low N availability. Water deficit and limited N have been shown to affect plant-water relations and photosynthetic ability, which lead to premature senility and low productivity of crops (Madani et al. 2010). Furthermore, appropriate N application has been shown to alleviate drought stress damage by allowing plants to maintain metabolic activity (Wu et al. 2018).

Tartary buckwheat (Fagopyrum tataricum (L.) Gaertn.) is an excellent plant resource grown worldwide and processed into foods and drinks (Bonafaccia et al. 2003; Fabjanet al. 2003; Xiang et al. 2016). It has the concomitant function of both medicine and foodstuff because of various pharmaceutical ingredients, such as rutin, quercetin and isoquercetin in the different organs of plant (Zhao et al. 2012). Due to its abundant nutrition ingredients and health value, Tartary buckwheat is becoming highly attractive (Fabjan et al. 2003; Kreft 2016). However, Tartary buckwheat is mainly cultivated in marginal land of Southwest China. Owing to infrequent rain in these areas, drought stress has become a major hindrance for production of Tartary buckwheat (Ohnishi and Tomiyoshi 2005; Xiang et al. 2013). A previous study found that Tartary buckwheat could not tolerate drought stress during its initial growth stages (Zhao and Shang 2009). Therefore, it is important to find ways to ameliorate the adverse effects of drought on Tartary buckwheat at the seedling stage to improve its growth and yield. Previous studies found that N application can reduce the negative influence of drought on yield in other crops (Saneoka et al. 2004; Dinh et al. 2017). However, the reported results differ among studies because of differences in crops or species, environmental conditions, N application rates, drought stress levels, and growth stages of crops (Ping et al. 2011; Shi et al. 2014; Wu et al. 2018). A comprehensive understanding of compensation effect of N nutrition under water stress is scarce in Tartary buckwheat.

The specific objective of this study was to assess the effects of N application under different water regimes on the growth and development, physiological activities, and yield of Tartary buckwheat. The results will provide information about the physiological mechanism by which N promotes the growth of Tartary buckwheat, and highlight the potential of N to improve yield in arid or semiarid regions.

 

Materials and Methods

 

Experimental materials and site description

 

A trial was conducted during two years (2017 and 2018) at experimental farm of Chengdu University (30°39′ N, 104°11′ E, 490 m altitude), Sichuan Province, China. In each growing season, the Tartary buckwheat cultivar (XiQiao-1), was obtained from Chengdu University and is the most widely grown cultivar in southwest China. Before sowing, the 10% (v/v) hydrogen peroxide was used for seed sterilization, rinsed four times with deionized H2O, then collected and stored for further use. Ten seeds were sown in each plastic pot (30 cm height × 25 diameter). The pots were filled with 9 kg air-dried soil with 13% soil moisture. The soil was alkaline (pH 7.6) containing 48.2 mg kg-1 available N, 20.3 mg kg-1 Olsen-P, 52.5 mg kg-1 available K, 1.8 g kg-1 organic matter, 0.62 g kg-1 total N, 0.41 g kg-1 total P, and 14.6 g kg-1 total K, 0.43 dS m-1 electrical conductivity (EC), 1.31 g cm-3 bulk density, and 37.9% field capacity (FC) by volume, respectively. When soil was added to the pots, the base fertilizer (0.6 g P2O5 and 1.2 g K2O) was added to each pot. The seedlings were thinned to three plants per pot. Thirty pots were used for each treatment and five plants were maintained after thinning at 7 days after germination. Each pot was maintained with soil moisture at 80% of FC until drought stress was imposed. The pots were placed randomly and moved to a different place every week to ensure that all plants had equal growth conditions.

 

Experimental design and management

 

The experiment was arranged in completely randomized design. There were three soil water levels (well-watered (WW); moderate drought stress (MD); severe drought stress (SD)) and two N rates (0.05 and 0.2 g N kg-1 soil, represented as low N (N1) and high N (N2), respectively). The N fertilizer was applied at sowing (50%) and the five-leaf stage (50%), respectively. Drought was imposed on Tartary buckwheat seedlings at the three-leaf and five-leaf stages. At each stage, three drought levels (35–40%, 55–60% and 80% FC, respectively) were maintained by water application to the desired FC (Zlobin et al. 2018). At each stage, drought stress was maintained for 10 days. After the drought stress, the soil of each pot was re-watered to 80% of FC and the plants were grown until maturity. The experimental design and management were consistent during two growing seasons.

 

Data collection

 

Fully expanded leaves were randomly selected at 1 day before drought stress (0 D), days 5 and 10 of drought stress (5 D, 10 D), and 1 and 3 days after irrigating (1 DR, 3 DR). These samples were used to analyze the RWC, Ψw, Chl and soluble protein (SP) content, and gas exchange parameters.

 

Leaf water status

 

To determine the RWC, leaf fresh weight (FW) was measured (Sartorius CPA225D balance, Sartorius Co., Beijing, China) immediately after leaves were cut from the Tartary buckwheat plants. Later, the leaves were floated on deionized water for 18 h and weighed to determine turgid weight (TW). These leaves were dried in a drying oven for 72 h at 75°C to measure dry weight (DW). The RWC was calculated as: RWC (%) = [(FW−DW)/(TW − DW)] × 100. The Ψw was measured as described by Canny (1997) using portable pressure chamber 3115 (Soil moisture Equipment Cor., California, U.S.A.).

 

Chlorophyll and soluble protein content

 

The Chl content was measured following the method of Xiong (2009). Leaf samples was ground and placed in centrifuge tube with 80% acetone and then covered with black cloth and kept at darkroom until the leaf changed to white. The Chl content was measured using a spectrophotometer at the wavelength of 645 and 663 nm. A leaf sample of 0.5 g was used to determine SP content using the method (Coomassie brilliant blue G-250 staining) described by Xiong (2009).

 

Leaf gas exchange

 

The gas exchange of fully expanded leaves was measured using portable photosynthesis system (GFS-3000, WALZ Inc., Effeltrich, Germany) between 09:00 and 11:30 h. During the measurement, a photosynthetic active radiation of 1200 µmol m−2 s−1 was provided by an automatic light source. The net photosynthetic rate (Pn) and stomatal conductance (gs) of Tartary buckwheat leaf were recorded by this photosynthesis system.

 

Malondialdehyde (MDA) content and superoxide dismutase (SOD) activity

 

The SOD activity and MDA content were measured following the method of Beauchamp and Fridovich (1971) and Wang et al. (2018), respectively. 0.5 g of frozen leaf sample was homogenized in a mortar and pestle, and the homogenate was centrifuged (4°C) at 10,000 × g for 30 min. Later, the supernatant was used to analyze the SOD activity and MDA content.

 

Dry matter, relative growth rate, drought index, yield, and yield components

 

Whole plants were cut at the three-leaf, five-leaf, anthesis, and maturity stages to determine FW. These samples were dried in a drying oven for 72 h at 75°C to measure DM. The RGR, RGR = (1/DM) × (DM/d), DI, DI = YD/YW were calculated according to Zhang et al. (2007). DM and d were assessed by the change in DM and days between two adjacent samplings stages, respectively. The YD and YW represented the yield of Tartary buckwheat under the conditions of drought stress and WW, respectively. Certainly, the 1000-grain weight and grain number per plant of each treatment were also measured at the maturity stage.

 

Statistical analysis

 

Two yeas data were analyzed by SPSS Statistics 17.0 (IBM, Chicago, I.L., U.S.A.). There were consistent physiological characteristics of Tartary buckwheat in 2017 and 2018, and no significant differences were found in across years and in interaction effects (Year × Nitrogen; Year × Drought and Year × Nitrogen × Drought). Hence, data was analyzed from the mean of two years, and the differences among treatments were assessed by Duncan’s multiple range test (P < 0.05).

 

Results

 

Leaf RWC and Ψw

 

The leaf RWC and Ψw of Tartary buckwheat decreased under drought stress (Fig. 1). The difference in RWC and Ψw between the treatments of two N rates under drought stress conditions were significantly, but not under WW conditions. The RWC and Ψw were lower at low N than at high N treatments, and the decreases in RWC and Ψw under drought stress were greater at the three-leaf stage than at the five-leaf stage. After re-watering, the RWC and Ψw recovered to different extents among the different treatments. The RWC and Ψw of drought-stressed plants showed greater recovery at high N than at low N.

 

Leaf Chl and SP contents

 

Drought and N application signicantly affected the Chl and soluble protein (SP) contents of Tatary buckwheat leaves (P < 0.05) (Fig. 2). Under drought stress, the Chl and soluble protein contents decreased signicantly under both N application rates and decreased to lower levels at low N treatments than at high N treatments under drought stress and WW conditions. After re-watering, the Chl and SP contents recovered slowly in plants subjected to drought at the three-leaf and five-leaf stages, but the recovery was stronger in the high N treatments than in the low N treatments.

 

Leaf gas exchange

 

 

Fig. 1: Effect of drought stress on leaf relative water content (RWC) and water potential (Ψw) of Tartary buckwheat under two nitrogen (N) application rates. Panels A–B and C–D show results obtained when drought was applied at three-leaf and five-leaf stage, respectively. S, M, severe and moderate drought stress, respectively; W, well-watered conditions. 0 D, 1 day before drought stress; 5 D, 10 D, day 5 and 10 of drought stress, respectively; 1 DR, 3 DR, 1 and 3 days after re-watering, respectively. N1 and N2 represent the low and high N levels, respectively. Data are means ± SD of two years (2017 and 2018). Different letters denote significant differences between treatments at the same time. NS: non-significant difference

The leaf Pn was significantly influenced by N application, which was lower in the low N than in the high N treatments. However, N application had no remarkable effects on gs (Fig. 3). The Pn and gs of Tartary buckwheat leaf responded to the different drought levels significantly. The Pn and gs declined with increasing intensity of drought, and the lowest values of Pn and gs were in the low N treatments. Seedlings subjected to drought at the three-leaf and five-leaf stage showed the same trends, but the decreases in Pn and gs were greater when drought was applied at the three-leaf stage. After re-watering, the Pn and gs of Tartary buckwheat showed better recovery in the high N treatments than in the low N treatments.

 

SOD activity and MDA content

 

The SOD activity and MDA content were higher in drought-stressed plants than in plants in the WW treatment (Fig. 4). There were no remarkable differences in MDA contents and SOD activity between the two N levels under WW conditions. Under drought stress, the MDA content tended to decline and SOD activity tended to increase with increasing N application rate, and the same trend was observed in drought-stressed plants at the three-leaf stage and at the five-leaf stage. After re-watering, SOD activity and MDA contents decreased in the drought-stressed plants, but decreased more in the treatments of high N than low N.

Dry matter and relative growth rate

 

In both growing seasons, drought stress at the three-leaf and five-leaf stages significantly reduced the DM accumulation and RGR (except FLA, five-leaf to anthesis stage) of Tartary buckwheat plants (P < 0.01; Table 1). The reduction in RGR was lower from the three-leaf to five-leaf stage (TFL) and from anthesis to the maturity stage (AM), and higher from the five-leaf to anthesis stage (FLA) under drought stress than in WW conditions. The DM accumulation showed similar decreasing trends in the two drought treatments, and decreased more in the severe drought treatments (by 13.1% in ST and 4.9% in SF) than in the moderate drought treatments. Consistently, drought stress had less impact on RGR and DM accumulation in the high N treatments than in the low N treatments at the four growth stages, and the patterns were similar in 2017 and 2018. Additionally, no significantly difference were observed in across years and in interaction effects (Y × N; Y × D and Y × N × D).

 

Fig. 2: Effect of drought stress on the chlorophyll (Chl) and soluble protein (SP) content of Tartary buckwheat under two nitrogen (N) application rates. Panels A–B and C–D show results obtained when drought was applied at three-leaf and five-leaf stage, respectively. S, M, severe and moderate drought stress, respectively; W, well-watered conditions. 0 D, 1 day before drought stress; 5 D, 10 D, day 5 and 10 of drought stress, respectively; 1 DR, 3 DR, 1 and 3 days after re-watering, respectively. N1 and N2 represent the low and high N levels, respectively. Data are means ± SD of two years (2017 and 2018). Different letters denote significant differences between treatments at the same time. NS: non-significant difference

 

DI, yield, and yield components

 

The drought and N application significantly affected the grain number per plant, 1000-grain weight, grain yield, and DI, and the magnitude of the effects depended on the severity of drought, growth stage, and N levels, and the patterns were similar during two years (Table 2). The loss of yield was greater when drought was applied at the three-leaf stage than at the five-leaf stage. The grain yield decreased with increasing drought stress intensity, but increased with increasing N level. The yield in ST, MT, SF, and MF was reduced by 34.2, 21.9, 23.9 and 10.3%, respectively, in low N, and by 31.5, 18.2, 15.2 and 4.2%, respectively, in high N, compared with grain yields in WW conditions. The DI of moderate drought stress was greater than severe drought stress, and this trend was observed in both the low N and high N treatments of two years. However, the DI was higher in high N treatments than in low N treatments under the same degree of drought stress. The DI in ST, MT, SF, and MF was 4.3, 4.9, 10.6 and 6.3% lower, respectively, in low N than in high N.

The number of grains per plant significantly increased with increasing N application rate in all treatments. Compared with the WW treatments, the ST, MT, SF, and MF treatments showed 32.9, 25.4, 19.8 and 12.3% decreases, respectively, in grain number per plant in low N, and 34.6, 22.5, 13.9 and 5.1% decreases, respectively, in grain number per plant in high N. The 1000-grain weight was impacted by drought and N application. Compared with WW treatment, all stress treatments (except MF in N2) indicted significantly reduced 1000-grain weight. The weight of 1000-grain in ST, MT, SF and MF was 5.9, 2.4, 7.3 and 2.3% higher, respectively, in high N than in low N.

 

Discussion

 

The present study assessed the influences of N nutrition on the growth and development, physiological performance and yield of Tartary buckwheat under drought conditions. The Tartary buckwheat plants at the three-leaf and five-leaf stages showed different responses to severity of and N levels. The responses to drought included a decrease in Ψw, which resulted in stomatal closure and reduced photosynthesis (Fig. 1 and 3). Flexas and Medrano (2002) suggested that Ψw is very important for normal crop growth, and a decrease in Ψw adversely affects CO2 assimilation and water use efficiency (WUE) due to metabolic impairment of photosynthesis. Thus, under a higher N application rate, the maintenance of Ψw allowed Tartary buckwheat plants to sustain leaf processes under conditions of drought stress, and then to recover faster after re-watering than under a lower N application level. In this case, the stomatal activity was higher under a higher N rate than under a lower N rate. These results may be attributed to the decreased Ψw under lower N application, which could lead to the limited growth and development of cell. The decline in Ψw may decrease mesophyll conductance (Warren et al. 2004). Lower WUE under low Ψw has been shown to decrease DM accumulation and yield (Grassi and Magnani 2005).

 

Fig. 3: Effect of drought stress on the net photosynthetic rate (Pn) and stomatal conductance (gs) of Tartary buckwheat under two nitrogen (N) application rates. Panels A–B and C–D show results obtained when drought was applied at three-leaf and five-leaf stage, respectively. S, M, severe and moderate drought stress, respectively; W, well-watered conditions. 0 D, 1 day before drought stress; 5 D, 10 D, day 5 and 10 of drought stress, respectively; 1 DR, 3 DR, 1 and 3 days after re-watering, respectively. N1 and N2 represent the low and high N levels, respectively. Data are means ± SD of two years (2017 and 2018). Different letters denote significant differences between treatments at the same time. NS: non-significant difference

 

Chlorophyll plays a key role in determining the intensity of photosynthesis, which is strongly affected by adverse conditions. Mafakheri et al. (2010) found that drought stress significantly decreased the Chl content also evident from present study (Fig. 2). The decrease in Chl content under drought stress would reduce the photochemical activity of chloroplasts, leading to decreased photosynthesis. In this study, the Chl content in Tartary buckwheat leaves increased by higher N application rates under drought and well-watered conditions (Fig. 2). Because N is an important component of Chl and proteins, it strongly affects plant metabolism during drought stress (Amane 2011). Sufficient N can enhance the recovery of photosynthesis, and so N-deficient crops show limited recovery after severe drought stress conditions (Grassi and Magnani 2005). Therefore, enough N may increase the photosynthetic capacity and stomatal control under drought conditions, owing to more than half of the N nutrient in plants’ green tissues take part in collecting solar energy to drive photosynthesis (Sinclair and Jamieson 2006). Certainly, photosynthesis can be improved by increasing the total Chl content via appropriate N fertilization. Further research is required to explore the detailed mechanism by which N enhances photosynthesis in Tartary buckwheat under drought stress.

Drought-stressed plants produce excess H2O2, which can cause oxidative damage through the formation of ROS which damage proteins (Mohammadi et al. 2018). Sofo et al. (2010) suggested that the MDA content was a vital indicator of oxidative damage in plants, and closely related to the serious degree of drought and N available. In this study, Tartary buckwheat plants under the condition of severe drought with Low-N application caused excess MDA accumulation. Hence, a higher content of MDA under conditions of Low-N application during drought stress may reduce the ability of antioxidation in cell, resulting in greater ROS accumulation (Jiang et al. 2007). Lipid peroxidation can lead to further damage such as the loss of Chl, improved the permeability of cell membrane, breakdown of macromolecules, reduction of nutrient availability, and early senescence, which eventually lessen the growth period of grain (Calatayud et al. 2001). It was observed that lower MDA contents and higher SOD activity in the high N treatments than in the low N treatments, indicating that greater N availability increased the ROS scavenging capability of drought-stressed Tartary buckwheat. Cheng (2013) also suggested that greater SOD activity and lower MDA content in plants in a High-N treatment was indicative of improved redox defenses to scavenge ROS. In this study, the drought-stressed Tartary buckwheat plant under higher N rates had the stronger activity of the ROS-detoxifying antioxidant system, thus may have protect the photosynthetic process, consistent with Zandalinas et al. (2017). Hence, present study results indicate that appropriate N fertilization can improve the production and drought tolerance of Tartary buckwheat by enhancing antioxidant enzyme activities and reducing lipid peroxidation.

 

Fig. 4: Effect of drought stress on the MDA content and SOD activity of Tartary buckwheat under two nitrogen (N) application rates. Panels A–B and C–D show results obtained when drought was applied at three-leaf and five-leaf stage, respectively. S, M, severe and moderate drought stress, respectively; W, well-watered conditions. 0 D, 1 day before drought stress; 5 D, 10 D, day 5 and 10 of drought stress, respectively; 1 DR, 3 DR, 1 and 3 days after re-watering, respectively. Data are means ± SD of two years (2017 and 2018). N1 and N2 represent the low and high N levels, respectively. Different letters denote significant differences between treatments at the same time. NS: non-significant difference

It was also found that severe drought stress during seedling stage affected normal physiological processes (Fig. 3 and 4), leading to the inhibition of growth, development (Table 1) and yield formation in Tartary buckwheat (Table 2). The decrease in the RGR of Tartary buckwheat under drought stress was greater under a lower N application rate than under a higher N, and the recovery of photosynthesis after re-watering was also slower at the lower N rate. Abid et al. (2016a) suggested that the decline in Pn under stress conditions leads to the imbalance of photosynthesis and respiration, resulting in a decreased crop growth rate. In the present study, the RGR recovered after re-watering (Table 1), which was indicative of the reversibility of some physiological damage caused by drought. However, the DM accumulation in Tartary buckwheat at maturity was lower in the drought treatments than in the WW treatments under both N levels (Table 1). In this sense, drought stress had some irreversible effects on the growth and development of Tartary buckwheat, consistent with the report of Xu et al. (2010). Certainly, other factors may have affected the plants pre-drought, but further studies are required to explore this.

Drought stress has been shown to limit the growth, development and yield formation of crops under Low-N supply (Tuong et al. 2002; Bernier et al. 2007), and its effects were studied in detail by analyzing individual yield components (Hattori et al. 2010). In this study, Tartary buckwheat under higher N application rates had higher grain number per plant, higher 1000-grain weight, and produced higher yield than under lower N application rates (Table 2). The drought-stressed plants under lower N level showed significantly weaker performance in terms of yield and yield components. The results showed that there were significant differences in the growth, yield and its component of Tartary buckwheat plants among different drought and N conditions (Table 1 and 2).

Table 1: Effect of drought stress and nitrogen application rate on dry matter accumulation and relative growth rate of Tartary buckwheat during several growth stages

 

Year

N Levels

Drought Treatment

Relative growth rate (mg/g/d)

Dry matter accumulation (g)

TFL

FLA

AM

Three-leaf

Five-leaf

Anthesis

Maturity

2017

Low N

ST

73.1

164.1

29.4

1.40

2.74

9.47

18.66

MT

76.8

146.9

36.0

1.58

3.16

10.11

22.11

SF

78.4

127.4

32.1

1.77

3.58

10.42

21.44

MF

81.2

126.0

34.1

1.84

3.78

10.92

23.21

WW

81.9

136.1

38.5

1.85

3.82

11.62

26.35

High N

ST

89.3

190.0

31.1

1.61

3.48

13.4

27.13

MT

79.8

182.0

38.2

1.93

3.93

14.66

33.12

SF

93.3

128.6

36.2

2.21

4.89

14.32

31.42

MF

92.0

138.1

39.1

2.26

4.95

15.21

34.81

WW

95.3

148.7

40.6

2.26

5.06

16.35

38.25

2018

Low N

ST

71.0

159.9

30.8

1.41

2.71

9.21

18.56

MT

73.4

159.6

33.7

1.59

3.11

10.56

22.30

SF

82.9

121.5

33.5

1.75

3.64

10.26

21.61

MF

83.9

123.4

34.1

1.85

3.86

10.99

23.36

WW

81.7

137.1

37.1

1.89

3.89

11.89

26.44

High N

ST

88.9

184.2

32.0

1.63

3.52

13.24

27.22

MT

80.7

179.6

38.2

1.95

3.99

14.73

33.30

SF

91.0

128.8

36.5

2.24

4.88

14.32

31.57

MF

91.7

142.6

38.5

2.24

4.91

15.41

35.00

WW

94.0

148.8

39.9

2.29

5.09

16.46

38.11

Mean (2017 and 2018)

Low N

ST

75.1c

166.0c

30.6f

1.47g

2.84h

9.63i

19.06j

MT

79.8bc

153.6d

35.5d

1.65f

3.30g

10.62h

22.72h

SF

83.9b

126.4f

33.7e

1.83e

3.75e

10.63h

22.11i

MF

85.0b

127.3f

34.8d

1.91d

3.94d

11.24g

23.83g

WW

84.6b

138.7e

38.7b

1.93d

3.99d

12.04f

27.02f

High N

ST

91.7a

190.2a

32.0e

1.69f

3.62f

13.60e

27.64e

MT

83.1b

182.6b

38.8b

2.00c

4.10c

14.98c

33.79c

SF

95.9a

128.8f

36.7c

2.29b

5.06b

14.61d

31.96d

MF

94.5a

141.5e

39.3a

2.31ab

5.08b

15.60b

35.43b

WW

96.6a

150.7d

40.6a

2.34a

5.20a

16.69a

38.66a

ANOVA

 

 

 

 

 

 

 

 

F-value

 

Year (Y)

0.036NS

0.036NS

0.035NS

1.33NS

2.18NS

0.56NS

1.77NS

Nitrogen (N)

120.85**

156.97**

50.02**

1185.46**

5334.9**

2883.57**

2028.01**

Drought (D)

16.53**

196.07**

38.47**

392.89**

1374.48**

131.2**

1868.1**

Y × N

0.23NS

0.10NS

0.030NS

0.16NS

0.12NS

0.029NS

0.0037NS

Y × D

0.31NS

1.67NS

1.17NS

0.41NS

0.36NS

1.22NS

0.41NS

N × D

3.76*

9.98**

3.50*

15.49**

51.69**

2.64*

70.24**

Y × N × D

0.89NS

2.17NS

0.47NS

0.32NS

2.10NS

0.42NS

0.22NS

TFL: from three-leaf to five-leaf stage. FLA: from five-leaf to anthesis stage. AM: from anthesis to maturity stage. ST and SF represent severe drought stress at three-leaf and five-leaf stage, respectively. MT and MF represent moderate drought stress at three-leaf and five-leaf stage, respectively. Within each column, different small letters denote signicant differences among treatments (P < 0.05). For ANOVA, Y × N represents interaction between year and N. Y × D represents interaction between year and drought. N × D represents interaction between N and drought. Y × N × D represents interaction among year, N and drought. NS, not significant. *, signicant (P < 0.05). **, signicant (P < 0.01)

Interestingly, the magnitude of yield loss differed depending on the timing of the drought treatment, with greater reductions when drought was applied at the three-leaf stage than at the five-leaf stage. These results indicate that Tartary buckwheat plants are more sensitive to drought stress at an early stage than at a later stage during vegetative growth. Zhao and Shang (2009), also found that Tartary buckwheat could not tolerate drought stress at the early stage of vegetative growth. Davatgar et al. (2009) also suggested that plants’ responses to water deficit rely on the stress condition and plant status, such as stress time, severity, duration and growth stage. For Tartary buckwheat, the root system is smaller in seedlings than in older plants, so seedlings’ ability to take up water from the soil is weaker than older plants. Eneji et al. (2008) reported that the N uptake and utilization under drought stress is crucial for improving growth and productivity of crops. The response of plants to N is strongly related with the ability of roots to absorb nutrients and water (Ding et al. 2015). This explains why adverse environmental conditions during this earlier growth stage resulted in greater decreases in physiological activities (Fig. 2, 3 and 4) and grain yields (Table 2).

Drought-stressed Tartary buckwheat had a significantly higher grain yield under high N treatment than in the low N treatment. Similar promoting effects of N were observed in the WW treatments, but the effect of N to increase yield was stronger in the drought treatments than in the WW treatments. In general, a higher N application rate resulted in stronger growth, higher physiological activity, and improved yield performance of drought-stressed Tartary buckwheat. These findings show that appropriate N application can decrease drought damage during the seedling stage by enhancing the growth potential of Tartary buckwheat plants. Optimal nitrogen nutrition is fundamental to improve the growth and yield of Tartary buckwheat in in arid and semi-arid zones.

Table 2: Effect of nitrogen application rate and drought on yield and its components in Tartary buckwheat

 

Year

N Levels

Drought Treatment

Grains Number per Plant

1000-Grain Weight (g)

Yield per Pot (g)

DI

2017

Low N

ST

109.9

18.5

10.2

0.66

MT

117.9

20.6

12.0

0.78

SF

123.5

19.2

11.8

0.76

MF

130.2

21.4

13.8

0.90

WW

142.5

21.5

15.4

0.00

High N

ST

115.1

19.5

11.2

0.68

MT

127.0

21.5

13.5

0.81

SF

136.8

20.5

14.1

0.85

MF

145.8

22.1

15.6

0.94

WW

150.3

21.9

16.6

0.00

2018

Low N

ST

110.8

18.7

10.1

0.65

MT

117.9

21.0

12.2

0.78

SF

123.5

19.4

11.8

0.76

MF

131.7

21.1

14.0

0.90

WW

144.0

21.8

15.6

0

High N

ST

116.3

20.0

11.4

0.70

MT

128.5

21.1

13.6

0.83

SF

135.9

20.8

13.9

0.85

MF

144.5

21.6

15.9

0.98

WW

150.3

22.3

16.3

0

Mean

Low N

ST

110.4j

18.6g

10.2i

0.66h

MT

117.9h

20.8d

12.1f

0.78e

SF

123.5g

19.3f

11.8g

0.76f

MF

131.0e

21.3c

13.9d

0.90b

WW

143.3c

21.7b

15.5c

0

High N

ST

115.7i

19.7e

11.3h

0.69g

MT

127.8f

21.3c

13.5e

0.82d

SF

136.4d

20.7d

14.0d

0.85c

MF

145.2b

21.8ab

15.8b

0.96a

WW

150.3a

22.1a

16.5a

0

ANOVA

 

 

 

 

 

F-value

Year (Y)

3.00NS

2.86NS

2.31NS

1.87NS

Nitrogen (N)

1456.54**

133.46**

725.16**

188.56**

Drought (D)

2061.37**

213.8**

977.18**

669.72**

Y × N

1.60NS

0.39NS

0.38NS

1.61NS

Y × D

1.13NS

4.39NS

0.96NS

0.90NS

N × D

42.55**

7.28**

15.46**

9.98**

Y × N × D

2.05NS

1.59NS

1.23NS

0.57NS

TFL: from three-leaf to five-leaf stage. FLA: from five-leaf to anthesis stage. AM: from anthesis to maturity stage. ST and SF represent severe drought stress at three-leaf and five-leaf stage, respectively. MT and MF represent moderate drought stress at three-leaf and five-leaf stage, respectively. Within each column, different small letters denote signicant differences among treatments (P < 0.05). For ANOVA, Y × N represents interaction between year and N. Y × D represents interaction between year and drought. N × D represents interaction between N and drought. Y × N × D represents interaction among year, N and drought. NS, non-significant. **, significant (P < 0.01)

 

Conclusion

 

The results demonstrated that the combination of drought stress and N level during the seedling stage severely affected the growth potential and physiological performance of Tartary buckwheat plants while N application effectively ameliorated the adverse effects of drought stress. An adequate N fertilizer application under drought stress could promote increased antioxidant activity, Ψw, RWC, Chl, and SP content as well as photosynthesis ability, which ultimately results in high-yield of Tartary buckwheat. Appropriate culture techniques may optimize these traits to enhance drought tolerance and achieve higher yields of Tartary buckwheat in field production. These results provide insights into the role of N nutrition to improve the performance of drought-stressed Tartary buckwheat, which also provide a theoretical and practical guide for cultivation of Tartary buckwheat crops under drought stress.

 

Acknowledgments

 

We are grateful for research support from National Natural Science Foundation of China (31771716; 31601260) and China Agriculture Research System (CARS-07-02A).

Author Contributions

 

DBX, WW and LXP designed the experiments and wrote the manuscript, WW, JYOY and LQL performed the experiments, GZ, LXP and YW statistically analyzed the data, reviewed the manuscript and made illustrations.

 

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