Crops ›› 2025, Vol. 41 ›› Issue (4): 157-163.doi: 10.16035/j.issn.1001-7283.2025.04.020

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The Impact of Different Ecological Conditions on Yield of Coix Varieties

Li Xiushi1(), Li Yingtao1, Fu Yuhua1, Luo Renshan2, Li Shouling2, Shang Kun1, Zhu Jiabao3, Yu Chun3()   

  1. 1Guizhou Institute of Subtropical Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, Guizhou, China
    2Yunnan Dehong Institute of Tropical Agricultural Sciences, Ruili 678600, Yunnan, China
    3Economic Crop Institute, Anhui Academy of Agricultural Sciences, Hefei 230031, Anhui, China
  • Received:2024-07-22 Revised:2024-11-27 Online:2025-08-15 Published:2025-08-12

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Abstract:

In order to explore the effects of different environmental factors on coix yield, eight leading coix varieties from different production areas were used to assess grain yield in different ecological regions. A combined analysis was conducted on eight environmental meteorological factors including accumulated temperature during the whole growth period, sunshine duration during the whole growth period and precipitation during the whole growth period, accumulated temperature after flowering, average daily temperature after flowering, average daily sunshine duration after flowering and average daily precipitation after flowering. The results showed that coix yield was determined by both ecological environment and genetics traits, and was significantly or extremely significantly positively correlated with the accumulated temperature during the whole growth period, sunshine duration after flowering, and average daily sunshine duration after flowering, average daily precipitation after flowering, and extremely significantly negatively correlated with average daily temperature after flowering. Therefore, adequate accumulated temperature during the whole growth period and the increase of average daily precipitation after flowering were beneficial to coix yield, excessively high average daily temperature after flowering would lead to a decrease in the yield of coix. Among them, two meteorological factors, average daily temperature after flowering and average daily precipitation after flowering could explain coix yield variation of 41.0% which can be used as an important reference index for variety distribution and high-yield cultivation.

Key words: Coix, Ecological environment, Meteorological factors, Varieties, Yield

Table 1

Material and source"

序号Number 材料名称Material name 材料来源Material source
1 安薏1号 贵州
2 贵薏苡1号 贵州
3 冀薏1号 河北
4 浦薏6号 福建
5 皖薏1号 安徽
6 皖薏2号 安徽
7 文薏5号 云南
8 浙薏1号 浙江

Table 2

Soil fertility in different ecological regions"

编号
Number		 地点
Location		 年份
Year		 全氮
Total nitrogen
(g/kg)		 全磷
Total phosphorus
(g/kg)		 全钾
Total potassium
(g/kg)		 pH 有机碳
Organic
carbon (g/kg)		 速效钾
Available K
(g/kg)		 碱解氮
Alkali-hydrolyzable
nitrogen (g/kg)
1 贵州兴仁（李关） 2021 1.75 1.19 13.04 6.23 18.02 0.17 0.16
2 贵州兴仁（巴铃） 2022 2.32 1.28 17.11 5.55 19.43 0.27 0.20
3 安徽岳西 2021 1.49 0.66 17.10 5.13 13.01 0.12 0.17
4 安徽岳西 2022 1.42 0.53 15.15 4.67 14.98 0.04 0.16
5 云南瑞丽 2022 1.53 0.85 10.55 4.46 16.84 0.18 0.15

Fig.1

Temperature variation in different ecological regions The different lowercase letters indicate significant difference at P < 0.05 level, the same below."

Fig.2

Statistics of precipitation in different ecological regions (a) Average daily precipitation in different months; (b) Total precipitation from May to October."

Fig.3

Statistics of sunshine hours in different ecological regions (a) Average daily sunshine hours in different months; (b) Total sunshine hours from May to October."

Table 3

Analysis of variance in yield of coix varieties in different ecological regions"

变异来源Source of variation 自由度df F P
环境Environment 4 178.345 0.000
品种Variety 7 32.277 0.000
环境×品种Environment×variety 28 14.870 0.000
误差Error 80 － －
总计Total 120 － －

Table 4

The multiple comparison analysis of yield in coix varieties in different ecological regions kg/hm2"

序号
Number		 品种
Variety		 安徽岳西Yuexi, Anhui 贵州兴仁Xingren, Guizhou 云南瑞丽
Ruili, Yunnan		 总平均产量
Total mean yield
2021 2022 2021 2022
1 安薏1号 2268.95a 2678.25b 3145.39d 4900.51a 2200.01d 3038.62b
2 贵薏苡1号 624.10b 3496.55a 4448.40a 5411.76a 3066.68b 3409.50a
3 冀薏1号 963.40b 1194.25cd 2468.99e 1869.17c 2200.01d 1739.17e
4 浦薏6号 未成熟 2049.30bc 3812.29bc 2545.75c 2666.68c 2214.80d
5 皖薏1号 1961.20a 1642.35c 3123.63d 3265.27bc 1666.68e 2331.82d
6 皖薏2号 1934.90a 662.75d 3562.29c 3381.44b 3466.68a 2601.61c
7 文薏5号 1588.25ab 3505.60a 4038.91b 3214.65bc 2000.01de 2869.48b
8 浙薏1号 未成熟 2500.95b 3180.11d 3589.60b 2466.68cd 2347.47d
平均值Mean value 1556.80d 2216.25c 3472.50a 3522.27a 2466.68b

Table 5

Statistical description of meteorological factors for different coix varieties in ecological regions"

气象因子Meteorological factor 平均值Mean value 最大值Maximum 最小值Minimum 标准差SD 变异系数CV (%)
X1 (℃) 3580.99±48.22 4305.90 2888.00 304.94 8.52
X2 (℃) 1633.53±35.55 2136.50 1261.00 224.84 13.76
X3 (℃) 23.50±0.47 30.43 18.64 2.96 12.62
X4 (h) 839.20±24.33 1064.70 535.10 153.86 18.33
X5 (h) 417.22±8.64 578.00 331.50 54.65 13.10
X6 (h) 5.98±0.08 7.19 5.41 0.48 8.02
X7 (mm) 779.20±22.18 1008.20 605.10 140.30 18.01
X8 (mm) 2.79±0.12 4.49 0.92 0.78 28.05

Table 6

Correlation coefficients between meteorological factors and yield in different ecological regions"

性状Trait X1 X2 X3 X4 X5 X6 X7 X8 X9
X1 1.000 -0.153 0.151 0.078 -0.247 0.002 0.238 -0.753** -0.305
X2 1.000 0.514** -0.650** 0.462** -0.193 0.418** 0.468** -0.106
X3 1.000 -0.875** -0.312* 0.162 0.047 0.105 -0.521**
X4 1.000 0.259 0.142 -0.001 -0.232 0.513**
X5 1.000 0.269 0.605** 0.479** 0.399**
X6 1.000 0.169 0.176 0.039*
X7 1.000 0.164 0.070
X8 1.000 0.315*
X9 1.000

Table 7

Linear regression analysis of meteorological factors and yield in different ecological regions"

模型
Model		 非标准化系数Unstandardized coefficient 标准化回归系数
Beta		 t p 共线性诊断Colinearity diagnosis
B 标准误Standard error VIF 容忍度Tolerance
常数Constant -6646.627 5720.407 － -1.162 0.254 － －
X1 -0.236 1.081 -0.060 -0.219 0.828 4.757 0.210
X2 8.024 6.668 1.503 1.203 0.238 98.436 0.010
X3 -390.040 433.780 -0.963 -0.899 0.375 72.423 0.014
X4 7.712 3.380 0.988 2.282 0.030 11.842 0.084
X5 -28.205 26.104 -1.284 -1.080 0.288 89.147 0.011
X6 1505.817 1762.357 0.602 0.854 0.399 31.337 0.032
X7 0.980 2.043 0.115 0.480 0.635 3.599 0.278
X8 594.196 413.457 0.388 1.437 0.161 4.597 0.218
R2 0.509
F F(8,31)=4.017，P=0.002
D-W值D-W value 2.245

Table 8

Stepwise regression analysis of meteorological factors and yield in different ecological regions"

模型
Model		 非标准化系数Unstandardized coefficient 标准化回归系数
Beta		 t P 共线性诊断Colinearity diagnosis
B 标准误Standard error VIF 容忍度Tolerance
常数Constant 6316.484 1280.958 － 4.931 0.000 － －
X3 -226.955 51.445 -0.560 -4.412 0.000 1.011 0.989
X8 572.847 194.630 0.374 2.943 0.006 1.011 0.989
R2 0.410
F F(2,37)=12.838，P=0.000
D-W值D-W value 2.216
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