Scientia Agricultura Sinica ›› 2023, Vol. 56 ›› Issue (3): 430-440.doi: 10.3864/j.issn.0578-1752.2023.03.003

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY·AGRICULTURE INFORMATION TECHNOLOGY • Previous Articles     Next Articles

Effect of Post-Anthesis Shading Stress on Eating Quality of Indica Rice in Chengdu Plain

ZHU YouYun(), ZENG YuLing(), LI Bo, YUAN YuJie, ZHOU Xing, LI QiuPing, HE ChenYan, CHEN Yong, WANG Li, CHENG Hong, ZHOU Wei, TAO YouFeng, LEI XiaoLong, REN WanJun(), DENG Fei()   

  1. Key Laboratory of Crop Gene Exploration and Utilization in Southwest China/Key Laboratory of Crop Physiology, Ecology and Cultivation in Southwest China, Ministry of Agriculture and Rural Affairs/College of Agronomy, Sichuan Agricultural University, Wenjiang 611130, Sichuan
  • Received:2022-05-05 Accepted:2022-07-04 Online:2023-02-01 Published:2023-02-14
  • Contact: REN WanJun, DENG Fei E-mail:1142191386@qq.com;244204837@qq.com;rwjun@126.com;ddf273634096@163.com

Abstract:

【Objective】 The aim of this study was to clarify the effect of post-anthesis shading stress on the eating quality of indica rice in Chengdu Plain, so as to provide the theoretical and practical basis for the selecting of shade-tolerant rice varieties in low light rice region. 【Method】 Field light control experiments were conducted in 2019 and 2020 in Wenjiang, Sichuan by using indica rice varieties with different amylose contents as materials. The effect of shading stress on eating quality of rice was studied by measuring the components and RVA spectrum values of rice, as well as the texture properties and eating quality of cooked rice. 【Result】(1)Shading stress significantly decreased amylose, amylopectin, and total starch contents of rice, but significantly increased the contents of protein and fat. (2)Shading stress significantly decreased the peak viscosity and breakdown of rice, while increased the pasting temperature and setback. (3)Shading stress also significantly increased the hardness of cooked rice, but decreased the stickiness and elasticity, which contributed to a significant reduction in the comprehensive score of cooked rice by decreasing both appearance and taste. (4)The results of principal component analysis showed that the rice components, RVA spectrum values, and texture properties could explain 81.2% of the total variation of eating quality of cooked rice. The comprehensive score of rice was significantly and positively correlated with the amylose, starch content, peak viscosity, breakdown, elasticity and stickiness, but negatively related to the protein and fat contents. 【Conclusion】 The protein and fat contents possessed greater influence on the eating quality of cooked rice than that of amylose and starch contents under shading stress. The shading stress leaded to significant variations in starch, protein, and fat components in rice, which contributed to a decrease in peak viscosity and breakdown, but an increase in pasting temperature and setback. And then, those variations contributed to the significantly decrease in eating quality of cooked rice by increasing the hardness, but decreasing both stickiness and elasticity of cooked rice.

Key words: indica rice, shading stress, rice components, RVA spectrum values, eating quality

Table 1

Effects of shading stress on head rice components"

年份
Year
品种
Variety
光照处理
Light
treatment
直链淀粉含量
Amylose content
(%)
支链淀粉含量
Amylopectin content (%)
总淀粉含量
Starch content
(%)
直支比
Amylose/amylopectin
ratio
蛋白质含量
Protein content
(%)
脂肪含量
Fat content
(%)
2019 黄华占
Huanghuazhan
对照CK 16.11±0.00c 69.42±0.00a 85.54±0.00a 0.23±0.002b 7.75±0.00b 1.25±0.00b
遮荫Shading 14.90±0.00d 63.18±0.01b 78.08±0.01b 0.24±0.002b 9.73±0.00a 1.52±0.00a
F优498
Fyou 498
对照CK 20.04±0.00a 58.67±0.01b 78.71±0.01b 0.34±0.003a 7.43±0.00b 1.28±0.00b
遮荫Shading 17.60±0.00b 52.16±0.02c 69.76±0.02c 0.34±0.013a 8.90±0.00a 1.55±0.00a
F
F-value
光照 Light 178.29** 27.18** 40.03** 0.00 43.26** 312.58**
品种Variety 584.46** 79.24** 34.12** 227.56** 4.84 4.25
光照×品种
Light × Variety
20.25** 0.01 0.33 0.89 0.96 0.01
2020 黄华占
Huanghuazhan
对照CK 15.98±0.00c 64.83±0.00a 80.81±0.00a 0.25±0.002c 8.46±0.00b 1.25±0.00b
遮荫Shading 13.39±0.00d 62.99±0.00b 76.37±0.00b 0.21±0.003d 10.17±0.00a 1.51±0.00a
F优498
Fyou 498
对照CK 21.18±0.00a 52.92±0.01c 74.10±0.01c 0.40±0.002a 9.14±0.01b 1.28±0.00b
遮荫Shading 17.91±0.00b 49.83±0.01d 67.73±0.01d 0.36±0.004b 11.06±0.00a 1.53±0.00a
F
F-value
光照 Light 400.37** 24.52** 87.04** 96.80** 39.89** 296.32**
品种 Variety 1101.05** 632.76** 175.75** 1620.00** 7.40* 2.85
光照×品种
Light × Variety
5.44* 1.57 2.77 0.80 0.14 0.11

Table 2

Effect of shading stress on the RVA spectrum Eigen values"

年份
Year
品种
Variety
光照处理
Light
treatment
峰值黏度
PKV
(RVU)
热浆黏度
HPV
(RVU)
冷胶黏度
CPV
(RVU)
消减值
SBV
(RVU)
崩解值
BDV
(RVU)
回复值
CSV
(RVU)
峰值时间
PeT
(min)
糊化温度
PaT
(℃)
2019 黄华占
Huanghuazhan
对照CK 319.96±0.22a 172.21±1.13b 294.42±1.44d -25.54±1.23b 147.75±0.92a 122.21±0.31bc 5.95±0.02a 74.29±0.13c
遮荫Shading 289.78±2.29d 182.04±0.55a 302.17±0.14c 12.38±2.43a 107.75±2.84c 120.13±0.41c 5.93±0.07a 75.78±0.24b
F优498
Fyou 498
对照CK 312.08±1.30b 183.88±0.41a 320.29±0.60a 8.21±0.70a 128.21±0.89b 136.42±0.19a 5.75±0.02b 78.38±0.03a
遮荫Shading 295.79±1.52c 183.17±0.24a 309.29±2.14b 13.50±3.66a 112.63±1.28c 126.13±2.38b 5.85±0.02ab 78.98±0.33a
F
F-value
光照 Light 233.14** 45.93** 1.50 87.70** 272.55** 25.61** 0.88 23.59**
品种 Variety 0.38 90.34** 154.31** 57.11** 18.97** 68.30** 13.52** 286.64**
光照×品种
Light×Variety
20.85** 61.35** 49.85** 50.04** 52.63** 11.28** 2.11 4.29
2020 黄华占
Huanghuazhan
对照CK 233.30±1.52a 131.13±0.22c 224.71±0.07c -8.59±1.59c 102.17±1.73a 93.58±014b 6.07±0.04b 72.12±0.55c
遮荫Shading 216.55±2.09b 131.17±1.01c 223.13±1.18c 6.58±3.27b 85.38±3.10b 91.96±0.17b 6.13±0.17ab 73.63±0.42b
F优498
Fyou 498
对照CK 238.58±0.14a 167.34±2.69a 272.50±0.48a 33.92±0.33a 75.89±5.30b 108.58±4.07a 6.16±0.06ab 76.55±0.30a
遮荫Shading 220.17±2.41b 160.86±1.85b 257.64±3.01b 37.47±0.68a 59.31±2.87c 96.78±3.3.16b 6.42±0.02a 77.40±0.30a
F
F-value
光照 Light 98.86** 3.52 25.25** 25.36** 22.77** 6.78* 3.31 8.50*
品种 Variety 6.34* 370.20** 632.70** 389.94** 56.02** 14.78** 4.30 102.05**
光照×品种
Light×Variety
0.22 3.62 16.48** 9.77* 0.00 3.90 1.19 0.67

Table 3

Effect of shading stress on the texture properties of cooked rice"

年份
Year
品种
Variety
光照处理
Light treatment
硬度
Hardness
黏度
Stickiness
平衡性
Balance
弹性
Elasticity
2019 黄华占
Huanghuazhan
对照CK 2.38±0.03d 0.29±0.009a 0.13±0.003a 0.87±0.000b
遮荫Shading 2.68±0.01c 0.25±0.009b 0.09±0.006b 0.83±0.000c
F优498
Fyou 498
对照CK 2.86±0.01b 0.25±0.009b 0.07±0.003c 0.89±0.003a
遮荫Shading 3.07±0.05a 0.16±0.006c 0.05±0.003d 0.87±0.003b
F
F-value
光照 Light 65.27** 60.17** 48.17** 162.00**
品种 Variety 190.96** 60.17** 160.17** 128.00**
光照×品种Light × Variety 1.91 13.50** 4.17 18.00**
2020 黄华占
Huanghuazhan
对照CK 1.96±0.13d 0.37±0.018a 0.15±0.003a 0.87±0.007b
遮荫Shading 2.32±0.00c 0.26±0.017b 0.12±0.012b 0.83±0.007c
F优498
Fyou 498
对照CK 3.02±0.04b 0.21±0.009b 0.07±0.003c 0.89±0.006a
遮荫Shading 3.48±0.04a 0.16±0.007c 0.05±0.003c 0.85±0.009bc
F
F-value
光照 Light 35.10** 36.00** 18.06** 34.72**
品种 Variety 258.83** 85.56** 138.06** 9.39*
光照×品种Light × Variety 0.59 5.06 1.56 0.06

Table 4

Effects of shading stress on the eating qualities of cooked rice"

品种
Variety
光照处理
Light treatment
外观 Appearance 口感 Taste 综合评分 Comprehensive score
2019 2020 2019 2020 2019 2020
黄华占
Huanghuazhan
对照 CK 7.97±0.07b 7.63±0.03b 7.43±0.03b 7.40±0.00a 83.13±0.29b 81.40±0.40b
遮荫 Shading 7.20±0.10c 6.63±0.03c 6.80±0.06c 6.63±0.07b 77.33±0.23c 73.63±0.15c
F优498
Fyou 498
对照 CK 8.57±0.03a 8.17±0.09a 7.80±0.06a 7.53±0.07a 85.70±0.00a 83.00±0.15a
遮荫 Shading 6.73±0.03d 6.67±0.03c 6.10±0.06d 6.40±0.06c 72.67±0.32d 73.40±0.17c
F
F-value
光照 Light 405.60** 562.50** 490.00** 295.36** 1477.89** 1268.42**
品种 Variety 1.07 28.90** 10.00* 0.82 18.37** 7.86*
光照×品种
Light × Variety
68.27** 22.50** 102.40** 11.00* 218.00** 14.14**

Fig. 1

Relationship between eating quality and other indexes A: Correlation between eating quality and other indexes; B: Principal component analysis of rice quality index; AC: Amylose content, AA: Amylopectin content, AC/AAC: Amylose/amylopectin ratio, BDV: Breakdown, CPV: Cool viscosity, CSV: Consistence viscosity, CS: Comprehensive score, FC: Fat content, HPV: Hot viscosity, PC: Protein content, PKV: Peak viscosity, PeT: Peak time, PaT: Pasting temperature, SC: Starch content, SBV: Setback"

Fig. 2

Stepwise regression analysis of rice quality indexes A: Stepwise regression analysis with appearance as dependent variable, B: Stepwise regression analysis with taste as dependent variable, C: Stepwise regression analysis with comprehensive score as independent variable. Y1: Appearance, Y2: Taste, Y3: Comprehensive score; X1: Fat content, X2: Peak viscosity, X3:Setback, X4: Hardness, X5: Starch content"

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