Introduction

 

Since the widespread introduction of super rice varieties, some large-ear type rice varieties are often used for high-yield or super-high-yield rice production due to multiple advantages, such as producing more glumous flowers, large storage capacity and high yield potential. Although, the yield record per plant has been broken, the total yield in large-scale production has failed to improve significantly, indicating that some of these varieties have shortcomings, such as involuntary degradation of secondary glumous flowers, and pollen sterility or infertility. These problems lead to more substantial variations in the number of surviving spikelets, grain number and rate of seed set. Therefore, yield and quality are not very stable, and their potential is not fully attained (Cheng et al. 2007; Wu et al. 2007; Yang and Zhang 2010; Dong et al. 2015; Hu et al. 2016). Studies have confirmed that the differentiation and degradation of spikelets are not only controlled by genetics, but also by environmental ecology and cultivation conditions (Dong et al. 2015; Tian et al. 2016). The spikelets differentiation and degradation rate was affected by sowing date. For example, it was found that the spikelets differentiation decreased, the degradation rate increased, and the total spikelets were decreased accompanied by the delay of sowing date (the data was unpublished), especially large panicle rice, spikelet differentiation and degradation are quite different under different environmental conditions. Even for the same rice plant, on the secondary branches, the spikelet differentiation and degradation are very unstable, with large variation in spikelet numbers (Kovi et al. 2011; Dong et al. 2015; Zhang et al. 2016). Researchers have also found the NSC content and C/N ratio in the vegetative organs before heading is closely related to spikelet differentiation and degradation. At 15 days before heading, higher NSC content is beneficial to spikelet differentiation and reduced degradation, but the opposite occurs at 20 days or 25 days before heading (Dong et al. 2017). It is known that sugar is an important regulator of plant growth and gene expression. It is not only an energy source and a structural substance, but also has a hormone-like primary messenger effect in signal transduction (Sheen et al. 1999; Horacio and Martinez 2013; Lastdrager et al. 2014) and regulates plant growth, development, maturation and senescence. And many other processes have a regulatory role (Koch et al. 2000; Lastdrager et al. 2014). The glucose concentration is associated with mitogenic activity during the development of Arabidopsis cotyledons, and glucose is a developmental stimulating factor regulating the expression of cyclin D genes (Riou et al. 2000). Fructan accumulation and consumption at the pre-flowering stage can strongly influence the formtion of panicles, and therefore it is believed that the fructan metabolism has an important physiological significance (Hendrix et al. 1986). Within 8 days before flowering, a strong reduction in sugar concentration in the panicle occurs, and this is closely associated with the final number of spikelets produced (Wang et al. 1997). Therefore, spikelet development is sugar-reducing dependent, and this reduction mainly comes from hydrolysis of fructose and degradation of sucrose. These studies suggest that soluble sugar, which is an important component of NSC, is closely related to cell division in seeds or young spikes, and organ differentiation and development. Sugars are not only an energy source but also an important signal substance. However, there is little known on how NSC and its components are related to the differentiation and degradation of young rice spikelets. The mechanism underpinning this relationship is still unclear. Thus, it is still a popular topic of current research and worthy of further investigation.

In this study, the large panicle hybrid japonica rice variety Yougyou 1540 was used as the crop material, and the crop was managed using standard high-yield cultivation practices. Different concentrations of exogenous soluble sugar (glucose and sucrose) were sprayed during the panicle differentiation period, and the differentiation and degradation of the spikelets and branches were monitored. These results are expected to form the basis for further studies on the regulation mechanism of NSC on rice spikelet differentiation and development.

 

Materials and Methods

 

Experimental field and testing variety

 

The experiments were carried out in the Guli modern agricultural demonstration zone located in Changshu City, Jiangsu Province (31°34'53''N, 120°52'25''E) in 2016 and 2017. Soil in the experimental field is clay, and wheat has been grown and harvested there before. In 2016, the organic matter content of the soil tillage layer was 2.59% and available nitrogen, phosphorus and potassium were 127.8, 7.8 and 118.3 mg/kg, respectively. In 2017, the organic matter content of the soil tillage layer was 2.49%, and available nitrogen, phosphorus and potassium were 135.3, 8.2 and 117.9 mg/kg.

 

Experimental design

 

The heading time was recorded by counting the number of remaining leaves. During the initial heading period (25 ± 1 d before heading), from 7: 00 to 8: 00, glucose solutions (167, 333, 500 and 667 mM, termed as G1, G2, G3 and G4) we sprayed to the rice plants at the top of the leaves. At the same time, sucrose solutions (87, 175, 263, 351 mM, termed as S1, S2, S3 and S4) were also applied. The same amount of water was sprayed as a control (CK). There was no rain during the treatment period. An RX-60AM high-speed seedling transplanter was used to transplant seedlings (2 to 3 seedlings per hole) during dry conditions. Plot area was 60 m2 (10 m × 6 m) with 3 replicates. The seeds were sown on May 15 and the seedlings were transplanted on June 15. Seedling age was 31 days with 5.3 to 5.5 leaves. The machine-inserted row spacing was 33 cm and hole-spacing was 12 cm, with 2 to 3 seedlings per hole. Seedling planting density is 64×104. The heading period began on September 2nd.

A total of 270 kg/hm2 of pure nitrogen (N: P2O5:K2O = 2:1:1) was applied over the entire growth period. The ratio of the nitrogen fertilizer was 4:2:2:2, comprising the following fertilizers: base, tillering, panicle and flower, respectively. Phosphate fertilizer was applied as base fertilizer once. The ratio of potassium fertilizer was base fertilizer: panicle fertilizer (flower promotion fertilizer), 5:5. Appropriate cultivation measures such as water management and pest control were carried out in accordance with their respective high-yield cultivation requirements. The experimental design in the first and second year was identical.

 

Measurements and methods

 

Determination of the differentiation and degradation of branch and spikelet

 

At heading stage (2/3 spikelets developed), 10 main stems were selected for measuring the differentiation and degradation of branches and spikelets. Using the Matsushima Shozo trace method (Matsushima 1966), the primary branches, the number of extant and degraded primary spikelets, secondary branches, and secondary spikelets were observed and recorded. The degraded spikelets exhibit a white-small-flower-like film trace. Some can be counted with the naked eye, but others have smaller traces, so a stereo microscope was used. The numbers of spikelets and branches per panicle were the sum of all those which degenerated or were still alive. The primary branches per spike were evenly divided into upper, middle and lower parts (if there were 11 or 13 primary branches, then the ratio was 4:3:4 or 4:5:4). The numbers of upper, middle and lower branches and spikelets were counted. Degradation rates are: primary branch (spikelets) degradation rate (%) = the number of degraded primary branches (spikelets) / the number of differentiated primary branches (spikelets) × 100%; secondary branch (spikelets) degradation rate (%) = the number of secondary branches (spikelets) / the number of differentiated secondary branches (spikelets) × 100

 

Determination of total nitrogen content and NSC content

 

Fifteen days before and at heading stage, two plants with identical growth and average number of tillers were selected; the ears, leaves and sheaths were separated and packed in kraft paper bags. They were first placed for 60 min in a constant temperature oven at 105℃, then dried and weighed at 80℃. Stem sheaths and leaves were crushed and sifted by a small high-speed mill for the determination of nitrogen (N) and NSC content. The total N content was determined by the Kjeldahl method, and the content of NSC (soluble sugar and starch) was determined by anthrone colorimetry.

 

NSC content (mg/g) = total soluble sugar content + starch content

 

C/N = NSC content / total N content

 

NSC cumulative (kg/hm2) = dry matter weight ×NSC content

 

Determination of yield and its constituent factors

 

For each plot, 50 holes of plants were selected for sampling confirmed panicles. For plants in every 3rd hole, the number empty or flat grains, 1000-grain weight, and the total weight were calculated and averaged. The number of grains per panicle, seed rate and theoretical yield and actual yield were also recorded.

 

Data processing

 

The data of differentiated, degraded and extant branches and spikelets recorded during the two years (Table 1). The exogenous sugar treatment data was basically the same for two years, and thus it took the average for subsequent analysis. Microsoft Excel 2007 and SPSS 13.0 were used for statistical analysis and plotting of the data.

 

Results

 

Effects on the formation of rice branches

 

Compared with the control, the differences in the number of primary differentiated branches, primary degraded branches and primary extant branches after glucose and sucrose treatment were not significant (Table 2). For secondary and total branches, the differences were significant or extremely significant. With increasing concentration, the number of differentiated secondary branches and total branches initially increased and then declined. Different concentrations of exogenous glucose and sucrose always caused a decrease in number of degraded branches, indicating that the treatment can negatively regulate panicle degradation. However, different concentrations of glucose and sucrose had different effects, in the G1 treatment, for example, significantly higher numbers of degraded branches occurred than the other treatments. And for sucrose, the effects had no obvious difference among all treatments.

The number of total extant branches total and the number of total differentiated branches had a quadratic-curve relation with the concentration of exogenous glucose and sucrose (r= 0.51**, 0.69**, 0.50**, 0.77**), indicating that an optimal concentration can promote the differentiation of stems and increase the number of branches that survive (Fig. 1). Conversely, extremely high concentrations are not favorable for the differentiation of spikelets.

 

Effects on the formation of spikelets in rice concentrations

 

Compared with the control, the number of primary differentiated spikelets, primary degraded spikelets and primary extant spikelets after treatment with different concentrations of exogenous glucose and sucrose showed no significant differences (Table 3). However, the difference between the number of differentiated, degraded and extant spikelets (secondary and total) was very significant.

The number of differentiated spikelets (secondary and total) initially increased and then decreased with increasing concentration. The number of secondary differentiated spikelets peaked when the concentration of exogenous glucose was 333 mM. The number of differentiated spikelets was always lower than control, except for high glucose, when it was only slightly lower. The most secondary differentiated spikelets were found at 263 mM sucrose treatment. At the same concentration, the number of differentiated spikelets decreased significantly, to a level slightly lower than in the control. At 333 mM, exogenous glucose level produced significantly higher number of total differentiated spikelets and extant spikelets than other treatments.

Correlation analysis showed (Fig. 2) that there was a quadratic curve correlation between the total extant spikelets, differentiated spikelets and the concentration of exogenous glucose and sucrose (r= 64**, 0.73**, 0.58**, 0.82**). This indicates that an optimal concentration of sugar can promote panicle differentiation, increasing the extant spikelets. However, excessive concentrations are also unfavorable to spikelet differentiation.

 

Effects on carbon and nitrogen metabolism during panicle differentiation in rice

 

Exogenous glucose and sucrose concentrations significantly reduced the total nitrogen content of rice plants at the Table 1: Statistical table of annual differentiation and degradation of branches and spikelets of large panicle hybrid Japonica rice

 

Year

Differentiated branches

Degraded branches

Extant branches

Differentiated spikelets

Degraded spikelets

Extant spikelets

2016

132.5a

58.2a

74.3b

478.3a

147.6a

330.7b

2017

123.2ab

40.4b

82.8a

463.9b

109.2b

354.7a

F

25.32**

39.47**

19.74**

18.29**

145.26**

30.05**

 ** represent significance at P < 0.01

 

Table 2: Effects of different concentrations of exogenous glucose and sucrose on formation of branches

 

Treatment

Primary branches

Secondary branches

Total branches

Differentiated branches

Extant branches

Degraded branches

Degraded percentage

Differentiated branches

Extant branches

Degraded branches

Degraded percentage

Differentiated branches

Extant branches

Degraded branches

Degraded percentage

G1

20.9ab

19.3ab

1.6a

7.8bc

101.5bc

58.5c

43.0a

42.4a

122.4cd

77.8de

44.6a

36.5a

G2

22.3a

20.6a

1.6a

7.3bc

113.0a

76.3a

36.8b

32.5d

135.3a

96.9a

38.4c

28.4c

G3

21.0ab

19.1ab

1.9a

9.0b

106.0b

67.9b

38.1ab

36.0cd

127.0b

87.0 b

40.0bc

31.5bc

G4

20.9bc

19.4ab

1.5a

7.2bc

102.9bc

63.8bc

39.1ab

38.0b

123.8bc

83.1bc

40.6bc

32.8bc

S1

21.4ab

19.3ab

2.1a

5.3c

99.4c

58.6c

40.8ab

41.0ab

120.8d

77.9de

41.9abc

35.5a

S2

21.5ab

20.3a

1.3a

5.8c

107.1b

67.8b

39.4ab

36.8bc

128.6b

88.0b

40.6bc

33.1ab

S3

21.6ab

20.0a

1.6a

7.5bc

103.1bc

62.8bc

40.4ab

39.2ab

124.8bc

82.8bc

42.0abc

34.2ab

S4

21.5ab

20.0a

1.5a

7.0bc

102.1bc

61.9c

40.3ab

39.4ab

123.6bc

81.9cd

41.8abc

35.9a

CK

20.1b

17.8b

2.4a

11.8a

100.8c

57.8c

43.0a

42.7a

120.9d

75.5e

45.4a

37.5a

G1, G2, G3, G4 represent 167, 333, 500 and 667 mmol/l glucose solutions, respectively. S1, S2, S3, S4 represent 87, 175, 263, 351 mmol/l sucrose solutions, respectively. CK represents water solution. Values followed by different letters are significantly different at P 0.05. The same as below

 

Table 3: Effects of different concentrations of exogenous glucose and sucrose on formation of spikelets

 

 

Treatment

Primary spikelets

Secondary spikelets

Total spikelets

Differentiated spikelets

Extant spikelets

Degraded spikelets

Degraded percentage

Differentiated spikelets

Extant spikelets

Degraded spikelets

Degraded percentage

Differentiated spikelets

Extant spikelets

Degraded spikelets

Degraded percentage

G1

120.8a

111.4a

9.4ab

7.7a

357.9b

243.5b

114.4b

32.0a

478.6b

354.9b

123.8c

25.9a

G2

129.1a

121.0a

8.1ab

6.3a

393.9a

263.6a

130.3a

34.7a

523.0a

384.6a

138.4a

27.8a

G3

120.8a

113.3a

7.5ab

6.2a

342.9c

225.5bcd

117.4b

34.2a

463.6c

338.8bc

124.9c

26.9a

G4

119.5a

111.4a

8.1ab

6.8a

344.6c

215.6d

129.0ab

37.4a

464.1c

327.0c

137.1ab

29.5a

S1

124.1a

113.5a

10.6a

8.6a

344.6c

222.4bcd

122.3b

35.4a

468.8bc

335.9bc

132.9bc

28.3a

S2

124.8a

118.5a

6.3b

5.0a

355.8b

237.6bc

118.1b

33.2a

480.5b

356.1b

124.4bc

25.9a

S3

129.6a

117.1a

12.5a

9.6a

358.4b

231.6bc

126.8b

35.4a

488.0b

348.8b

139.3a

28.5a

S4

125.0a

116.9a

8.1ab

6.5a

350.8b

229.6bcd

121.1b

34.5a

475.8b

346.5b

129.3bc

27.2a

CK

125.5a

113.6a

11.9a

9.5a

344.1c

215.1d

129.0ab

37.5a

469.6bc

328.8c

140.9a

30.0a

 

Table 4: Effects of exogenous glucose and sucrose concentrations on carbon and nitrogen metabolism during panicle differentiation in rice

 

Treatment

15 days before heading

Heading date

N content (mg/g)

NSC content (mg/g)

C/N

N content (mg/g)

NSC content (mg/g)

C/N

G1

22.5b

101.8b

4.5 bc

19.0abc

201.2b

10.5ab

G2

21.6c

105.2a

4.8 ab

18.8bc

208.5a

11.0ab

G3

20.6d

106.3b

5.1a

18.2c

209.6a

11.5a

G4

19.5e

106.8a

5.4 a

18.1c

209.1a

11.5a

S1

23.2ab

102.5ab

4.4 bc

19.4ab

198.7c

10.2bc

S2

22.9b

104.7a

4.5 bc

19.2ab

202.3b

10.5ab

S3

21.2c

104.9a

4.9 ab

18.2c

203.4b

11.1b

S4

21.0cd

105.1a

5.0a

18.0c

204.2b

11.3a

CK

23.7a

100.2b

4.2c

19.9a

195.6c

9.83c

 

panicle differentiation stage (Table 4). Exogenous glucose and sucrose decreased by 11.18 and 6.86% on average at 15 days before heading, and decreased by 6.91 and 6.03% respectively, at heading date. Simultaneously, with an increase in exogenous sugar concentration, the total nitrogen content of plants decreased, in the order G1 > G2 > G3 > G4, S1 > S2 > S3 > S4. Exogenous glucose and sucrose significantly increased NSC content and C/N ratio of rice plants at the panicle differentiation stage, which contrasted with the total nitrogen content and showed that NSC content increased with increasing exogenous sugar concentration. Glucose and sucrose increased the NSC content by 4.82 and 4.11% and increased the C/N by 18.38 and 11.94% at 15 days before heading. It also increased the NSC content by 5.88 and 3.35% on average at the heading stage and the C/N by 13.81 and 10.12%.

The correlation analysis showed that the surviving and differentiation number of total branches and spikelets had a quadratic correlation with the C/N ratio of plants 15 days before heading and at heading stage (Fig. 3).

 

Fig. 1: Correlation between differentiation and extant number of total branches and the concentration of exogenous glucose and sucrose

 

 

Fig. 2: Correlation between the differentiation and existing number of total spikelets and the concentration of exogenous glucose and sucrose

 

 

Fig. 3: Correlation between C/N Ratio of Rice Plants and Branch and Spikelet Formation at the Panicle Differentiation Stage

 

Furthermore, the correlation coefficients were significant indicating that the C/N ratio of plants at panicle differentiation stage was closely related to the formation of spikelets and the appropriate C/N ratio could promote the formation of branches and spikelets.

Effects on NSC accumulation and distribution during panicle differentiation of rice

 

During panicle differentiation, more than 85% of NSCs were distributed in stem sheath, about 8% in green leaves and about 3% in panicles. Different concentrations of exogenous glucose and sucrose could increase the accumulation of NSC in different organs of plants at panicle differentiation stage. Although the accumulation of NSC in stem and sheath did not reach a significant level at 15 days before heading, it reached significant levels in other organs. The results also showed that with increasing exogenous sugar concentration, changes in NSC accumulation in stem and sheath was not obvious 15 days before heading, it increased gradually at the heading stage. Furthermore, with increasing exogenous sugar concentration, the NSC accumulation in green leaves and spike at 15 days before heading and at the heading stage initially increased and then declined.

Accumulation of NSC in stem and sheath at 15 days before heading and at heading stage was weakly correlated with differentiated, surviving and retrograded branches and spikelets (Table 5). The accumulation of NSC in green leaves and spikelets at 15 days before heading and at the heading stage was positively correlated with the differentiated and surviving spikelets (R2= 0.80*, 0.90**, 0.75*, 0.83**, 0.75*, 0.88**, 0.81** and 0.80**, respectively). The retrograded branches and spikelets were negatively correlated with the NSC accumulation in all organs at 15 days before heading and at the heading stage, but not significantly.

 

Effects on yield related factors of rice

 

Changes caused by different concentrations of exogenous glucose and sucrose treatment on rice yield was highly significant (Table 6), both were higher than the control. However, increasing exogenous glucose and sucrose concentration, showed an initial increase in yield, followed by a decline. At a concentration of 333 mM glucose and 175 mM sucrose treatment, the yield of both exogenous sugar treatments was higher than others and rate of seed set was also high. Effects of different concentrations of exogenous glucose and sucrose per panicle were extremely significant (F = 25.49 **), whereas for rate of seed set, 1000-grain weight and degree of fullness, there was no significant change, indicating that field changes caused by exogenous glucose and sucrose were mainly due to changes in the number of grains per panicle.

 

Discussion

 

Table 5: The correlation between NSC accumulation and spikelet formation at the panicle differentiation stage in Rice

 

 

15 days before heading

Heading date

 

stems and leaf sheath

leaf

spike

stems and leaf sheath

leaf

spike

Differentiated branches

-0.126

0.720*

0.695*

-0.248

0.749*

0.578

Extant branches

-0.272

0.669

0.670

-0.362

0.695*

0.497

Degraded branches

-0.514

-0.510

-0.575

-0.517

-0.527

-0.249

Differentiated spikelets

-0.346

0.796*

0.752*

-0.196

0.751*

0.811**

Extant spikelets

-0.329

0.897**

0.829 **

-0.168

0.878**

0.804**

Degraded spikelets

-0.080

-0.181

-0.128

-0.091

-0.254

-0.197

* , ** represent significance at P < 0.05 and P < 0.01. The same as below

 

Table 6: Effects of different concentrations of exogenous glucose and sucrose on yield of rice

 

Treatment

Spikelets per panicle

Rate of seed set (%)

1000-grain weight (g)

Grain plumpness (%)

Theoretical yield (t/hm2)

G1

283.9b

86.8a

21.7a

85.1a

11.6b

G2

297.7a

86.9a

21.8a

85.6a

12.3a

G3

271.0bc

87.0a

21.3a

83.9a

10.9cd

G4

261.6c

87.0a

21.9a

84.3a

10.9cd

S1

277.2b

86.5a

21.4a

84.9a

11.2bc

S2

284.9b

87.2a

21.9a

85.3a

11.8ab

S3

279.0b

85.6a

21.6a

84.6a

11.4bc

S4

268.7bc

85.5a

21.7a

83.3a

11.0c

CK

263.0c

85.9a

21.3a

85.0a

10.6d

 

The number of grains per panicle is one of the important indicators of rice yield. Especially during the promotion and implementation of super rice, the number of secondary branches, total branches, and number of grains on secondary branches were the main indicators for the number of grains per panicle (Kato and Katsura 2010). For differentiation and degradation of spikelets, studies suggest that these processes are closely related to the health of plants during differentiation and development stages, as well as carbon and nitrogen nutrition and metabolism. Meanwhile, physiological activity of young spikes is also important. From vegetative to reproductive growth of rice, a great deal of carbohydrates is needed as a carbon and energy source for the formation of young spikelets, pollen and embryo sacs. In particular, at the meiosis stage of rice pollen mother cells, carbon metabolism is beneficial to the reproductive growth of crops (Fu et al. 2015). Studies (Tian et al. 2016) show that concentration and content level are two factors that are closely associated with the differentiation and degradation of spikelets and branches. The 12 d or 4 d before heading, or during the heading stage, stem and sheath growth is high, thus, a high concentration of non-structural carbohydrate is not conducive to the differentiation and degradation of young branches and spikelets. From 16 d before heading to 8 d before heading, a higher NSC accumulation in young spikelets is necessary for the formation of large spikes. NSC is closely correlated with the number of grains. NSC, like sucrose, glucose, fructose, and fructan influence plant metabolism and yield (Yoshinagaa et al. 2013; Wang et al. 2017).

Previously plant hormones have been shown to play a regulatory role at very low concentrations, while sugars are more active when concentrations are high. In this study, the effects of exogenous sugars on the degradation of branches and spikelets at the early stage of panicle differentiation indicate that the sugar signal may induce the synthesis of NSC in plants and even at low concentrations, they can regulate the C/N ratio during the panicle differentiation stage, facilitating the differentiation of branches and spikelets. However, when the concentration is high, the balance of C and N is disrupted, suppressing the differentiation of young spikelets and branches. To date, we have only hypotheses on how NSC (probably together with hormones) might regulate spikelet formation. Little is known about the links between sugar signaling substances (soluble sugar part of NCS) and hormones, especially the relationship between protein level and enzyme activity in the process of spikelet formation. Therefore, it is important to identify the relation between sugar and hormonal signals. Two open questions are: (1) what is the synergistic regulation of rice panicle differentiation and development and, (2) what is the signal regulation network of rice spikelet growth and development? To answer these questions, further research on signal levels is needed.

The results of this study showed that appropriate concentrations of exogenous glucose and sucrose could significantly promote rice spikelet differentiation. When the concentration was low, the interaction between exogenous sugar and hormone signaling reduced ABA content in the young panicle, promoting differentiation (Radchuk et al. 2010). At high concentration, spikelet numbers were lower than in the control treatment, which may also reflect a sugar-hormone interaction (Arenas et al. 2000; Rook et al. 2001). Adding exogenous sugars can reduce the number of degradations, however, it is not known if ethylene is involved (Zhou et al. 1998). The differentiation and development of young panicles are the result of a combination of internal and external factors, and a series of complex physiological and biochemical processes. Yet, there are still many processes that are not fully understood, such as how the external environmental conditions regulate sugar metabolism, physiology and hormones. It is suggested that the mechanism of how multiple interactions regulate young panicle formation deserves further in-depth research.

A thorough and detailed study of the internal regulatory network between the expression of soluble sugar in rice (NSC) - plant hormone – protein (Arenas et al. 2000) and the activity of metabolic enzymes is necessary. In particular, the differentiation and development of young panicles and the size of the sink volume by NSC should clarify the internal relationship between sugar signals and hormones and the mechanism of the formation of young panicles. An understanding of the signal regulation network of rice panicle growth and development will provide better theoretical and practical guidance for the cultivation of large panicles in production.

A thorough and detailed study of the internal regulatory network between the expression of soluble sugar in rice (NSC) - plant hormone – protein, and the activity of metabolic enzymes is necessary. In particular, the differentiation and development of young panicles and the size of the sink volume by NSC should clarify the internal relationship between sugar signals and hormones and the mechanism of the formation of young panicles. An understanding of the signal regulation network of Rice Panicle growth and development will provide better theoretical and practical guidance for the cultivation of large panicles in production.

 

Conclusion

 

Exogenous glucose and sucrose application at booting stage demonstrated that NSC involved in the regulation of differentiation and development of spikelets in rice. NSC is not only a kind of energy material, but also a signaling molecule. However, the mechanism of NSC regulating spikelets differentiation and degradation is not clear, which is worth further study.

 

Acknowledgements

 

This study was funded by Special Grain Science and Technology Innovation Project (No. 2017YFD0300102), National Key Research and Development Program of China (No. 2017YFD0301206); National Natural Science Foundation of China (No. 31471447); Jiangsu Province Six Talents Summit Project (No. NY-129) and Jiangsu Agricultural Science and Technology Innovation and Promotion Project.

 

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