关键词:普通小麦; 品质性状; 面条品质; 分子标记 Noodle Quality Evaluation of New Wheat Cultivars from Northern China Winter Wheat Regions KONG Xin-Xin1,2, ZHANG Yan2, ZHAO De-Hui2, XIA Xian-Chun2, WANG Chun-Ping1,*, HE Zhong-Hu2,3,* 1College of Agronomy, Henan University of Science & Technology, Luoyang 471003, China
2Institute of Crop Science / National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
3CIMMYT-China Office, c/o CAAS, Beijing 100081, China
Fund:This study was founded by the National Natural Science Foundation of China (31371623, 31461143021) and the Agricultural Science and Technology Innovation Program (CAAS) AbstractFifty-two cultivars and lines from Northern China Winter Wheat Regions, and six cultivars from Australia and America were planted in two locations in two years to evaluate their milling quality, Mixograph and Mixolab parameters, pasting properties and noodle quality. Five gene-specific markers were used to test their effects on quality traits. The results indicated that most of the tested cultivars were featured with hard grain and strong gluten. Large variations of flour yield, flour a* value, b* value, yellow pigment content, PPO activity, Mixograph parameters, Mixolab parameters such as development time and stability were observed. The Mixograph parameter width at 8 min and Mixolab parameter stability were important for predicting noodle quality, accounting for 36.9% and 28.0% of the variation for noodle total score, respectively. Ppo-A1aand Ppo-A1bgenotypes had the frequency of 41.4% and 58.6%, respectively, with significant difference in ( P< 0.05) PPO activity. The frequency of Ppo-D1a and Ppo-D1bwas 51.7% and 48.3%, respectively, and there was no significant difference in PPO activity between two genotypes. The frequency of Psy-A1a and Psy-A1b was 81.0% and 19.0%, respectively, and the yellow pigment contents of two genotypes were significantly different ( P < 0.05). The 1BL/1RS and non-1BL/1RS cultivars had the frequency of 13.8% and 86.2%, respectively, with significant difference ( P < 0.05) in flour L* value, yellow pigment content, Mixgraph parameters such as right of peak slope and width at 8 min, and Mixolab parameter stability. Four cultivars including Zhoumai 26, Zhongmai 895, Sunzell, and CA1004 showed excellent noodle quality. This study provides important informations for wheat breeding and cultivar extension.
Keyword:Bread wheat; Quality characteristics; Chinese noodle quality; Molecular markers Show Figures Show Figures
表1 58份小麦品种来源、面筋类型、面条评分及分子标记检测结果 Table 1 Origin, gluten type, noodle score, and molecular marker results in 58 wheat cultivars
品种1) Cultivar 1)
来源 Origin
面筋类型2) Gluten type 2)
面条评分 Noodle score
Ppo-A1
Ppo-D1
Psy-A1
1BL/1RS 3)
中优206 Zhongyou 206
中国北京 Beijing, China
S
64.9
Ppo-A1a
Ppo-D1a
Psy-A1a
–
中麦996 Zhongmai 996
中国北京 Beijing, China
M
68.0
Ppo-A1b
Ppo-D1a
Psy-A1a
–
中麦998 Zhongmai 998
中国北京 Beijing, China
M
64.8
Ppo-A1b
Ppo-D1a
Psy-A1a
–
中麦629 Zhongmai 629
中国北京 Beijing, China
M
66.5
Ppo-A1a
Ppo-D1a
Psy-A1a
–
中麦1062 Zhongmai 1062
中国北京 Beijing, China
M
66.0
Ppo-A1b
Ppo-D1a
Psy-A1a
–
CA0493
中国北京 Beijing, China
S
67.4
Ppo-A1b
Ppo-D1a
Psy-A1a
–
CA1004
中国北京 Beijing, China
M
70.7
Ppo-A1b
Ppo-D1a
Psy-A1a
–
农大3615 Nongda 3615
中国北京 Beijing, China
W
67.5
Ppo-A1b
Ppo-D1a
Psy-A1a
–
农大3753 Nongda 3753
中国北京 Beijing, China
S
63.3
Ppo-A1b
Ppo-D1a
Psy-A1a
–
农大5363 Nongda 5363
中国北京 Beijing, China
W
65.8
Ppo-A1a
Ppo-D1a
Psy-A1a
–
GY12014
中国河北 Hebei, China
S
65.1
Ppo-A1b
Ppo-D1b
Psy-A1a
–
GY12023
中国河北 Hebei, China
S
63.5
Ppo-A1b
Ppo-D1b
Psy-A1a
–
师栾02-1 Shiluan 02-1
中国河北 Hebei, China
S
64.2
Ppo-A1b
Ppo-D1b
Psy-A1a
–
石优17 Shiyou 17
中国河北 Hebei, China
M
71.0
Ppo-A1a
Ppo-D1a
Psy-A1a
–
石优20 Shiyou 20
中国河北 Hebei, China
S
65.8
Ppo-A1b
Ppo-D1a
Psy-A1a
–
藁优2018 Gaoyou 2018
中国河北 Hebei, China
S
67.5
Ppo-A1b
Ppo-D1a
Psy-A1a
–
藁城8901 Gaocheng 8901
中国河北 Hebei, China
S
64.4
Ppo-A1b
Ppo-D1a
Psy-A1a
–
石4185 Shi 4185
中国河北 Hebei, China
W
70.3
Ppo-A1b
Ppo-D1a
Psy-A1b
–
济南17 Jinan 17
中国山东Shandong, China
S
63.0
Ppo-A1b
Ppo-D1b
Psy-A1a
–
济麦20 Jimai 20
中国山东Shandong, China
S
67.9
Ppo-A1b
Ppo-D1a
Psy-A1a
–
济麦22 Jimai 22
中国山东Shandong, China
W
67.2
Ppo-A1b
Ppo-D1b
Psy-A1a
–
济麦23 Jimai 23
中国山东Shandong, China
M
64.3
Ppo-A1b
Ppo-D1b
Psy-A1a
–
济麦24 Jimai 24
中国山东Shandong, China
M
64.7
Ppo-A1b
Ppo-D1a
Psy-A1a
–
济麦0860229 Jimai 0860229
中国山东Shandong, China
S
63.5
Ppo-A1b
Ppo-D1b
Psy-A1a
–
12品404 12-Pin-404
中国山东Shandong, China
S
63.7
Ppo-A1b
Ppo-D1a
Psy-A1a
–
洲元9369 Zhouyuan 9369
中国山东Shandong, China
S
65.1
Ppo-A1b
Ppo-D1a
Psy-A1a
–
山农11-28 Shannong 11-28
中国山东Shandong, China
M
69.3
Ppo-A1a
Ppo-D1b
Psy-A1b
+
郑麦366 Zhengmai 366
中国河南 Henan, China
S
70.9
Ppo-A1b
Ppo-D1a
Psy-A1a
–
郑麦129 Zhengmai 129
中国河南 Henan, China
M
67.1
Ppo-A1b
Ppo-D1b
Psy-A1a
–
郑5373 Zheng 5373
中国河南 Henan, China
S
65.5
Ppo-A1a
Ppo-D1b
Psy-A1b
–
豫麦34 Yumai 34
中国河南 Henan, China
S
67.3
Ppo-A1a
Ppo-D1a
Psy-A1a
–
中麦895 Zhongmai 895
中国河南 Henan, China
W
70.9
Ppo-A1a
Ppo-D1a
Psy-A1a
+
中优255 Zhongyou 255
中国河南 Henan, China
S
65.8
Ppo-A1a
Ppo-D1b
Psy-A1a
–
12CA25
中国河南 Henan, China
S
64.8
Ppo-A1b
Ppo-D1b
Psy-A1a
–
12CA29
中国河南 Henan, China
S
65.2
Ppo-A1b
Ppo-D1b
Psy-A1a
–
12CA39
中国河南 Henan, China
S
65.6
Ppo-A1a
Ppo-D1a
Psy-A1a
–
13CA38
中国河南 Henan, China
M
67.7
Ppo-A1b
Ppo-D1b
Psy-A1a
–
13CA39
中国河南 Henan, China
W
68.1
Ppo-A1b
Ppo-D1b
Psy-A1a
+
13CA47
中国河南 Henan, China
M
66.5
Ppo-A1b
Ppo-D1b
Psy-A1a
–
13CA48
中国河南 Henan, China
S
65.8
Ppo-A1b
Ppo-D1b
Psy-A1a
–
13CA66
中国河南 Henan, China
S
68.3
Ppo-A1a
Ppo-D1b
Psy-A1a
–
新麦26 Xinmai 26
中国河南 Henan, China
S
63.2
Ppo-A1b
Ppo-D1b
Psy-A1a
–
新麦28 Xinmai 28
中国河南 Henan, China
S
65.9
Ppo-A1a
Ppo-D1a
Psy-A1b
–
丰德存麦5号 Fengdecunmai 5
中国河南 Henan, China
M
66.4
Ppo-A1a
Ppo-D1b
Psy-A1a
–
周麦24 Zhoumai 24
中国河南 Henan, China
S
64.4
Ppo-A1a
Ppo-D1b
Psy-A1b
+
周麦26 Zhoumai 26
中国河南 Henan, China
W
70.9
Ppo-A1a
Ppo-D1a
Psy-A1b
+
周麦32 Zhoumai 32
中国河南 Henan, China
M
66.3
Ppo-A1a
Ppo-D1a
Psy-A1b
+
西农509 Xinong 509
中国陕西 Shaanxi, China
S
66.7
Ppo-A1a
Ppo-D1a
Psy-A1a
+
西农979 Xinong 979
中国陕西 Shaanxi, China
S
62.9
Ppo-A1b
Ppo-D1b
Psy-A1b
–
武农986 Wunong 986
中国陕西 Shaanxi, China
M
66.7
Ppo-A1b
Ppo-D1b
Psy-A1b
–
陕627 Shaan 627
中国陕西 Shaanxi, China
M
67.3
Ppo-A1a
Ppo-D1b
Psy-A1a
+
舜麦1718 Shunmai 1718
中国山西 Shanxi, China
S
65.7
Ppo-A1b
Ppo-D1a
Psy-A1a
–
Jagger
美国 USA
S
60.9
Ppo-A1a
Ppo-D1b
Psy-A1a
–
Karl
美国 USA
S
63.5
Ppo-A1a
Ppo-D1a
Psy-A1a
–
Baxter
澳大利亚 Australia
S
65.9
Ppo-A1a
Ppo-D1b
Psy-A1b
–
Livingston
澳大利亚 Australia
M
66.6
Ppo-A1a
Ppo-D1b
Psy-A1b
–
Ellison
澳大利亚 Australia
S
68.4
Ppo-A1a
Ppo-D1a
Psy-A1a
–
Sunzell
澳大利亚 Australia
S
71.4
Ppo-A1a
Ppo-D1b
Psy-A1a
–
1) High-yield control cultivars are underlined, cultivars developed during 1990-2010 are in bond, and other domestic cultivars were developed since 2011. All exotic accessions are representative high-quality cultivars. 2) Gluten strength is divided into strong (S, peak integral ≥ 135), middle (M, 100 ≤ peak integral < 135) and weak gluten (W, peak integral < 100) according to Mixograph parameter peak integral (in %tq× min). 3) + and - indicate 1BL/1RS and non-1BL/1RS line, respectively. 1) 下画线表示高产对照品种, 加粗体表示1990-2010年育成品种, 其他国内品种为2011年及其以后育成; 国外品种均为代表性优质品种。2) 根据和面仪峰值面积(单位: %tq × min), 面筋强度分为强筋(S, 峰值面积 ≥ 135)、中筋(M, 100 ≤ 峰值面积 < 135)和弱筋(W, 峰值面积< 100)。3) +和-分别表示1BL/1RS易位系和非1BL/1RS易位系。
表1 58份小麦品种来源、面筋类型、面条评分及分子标记检测结果 Table 1 Origin, gluten type, noodle score, and molecular marker results in 58 wheat cultivars
表4 磨粉品质、面团特性、淀粉品质与面条品质的相关性 Table 4 Correlation coefficients among milling quality, dough characteristics, starch quality, and noodle quality
品质参数 Quality parameter
颜色 Color
表观状况 Appearance
软硬度 Firmness
黏弹性 Viscoelasicity
光滑性 Smoothness
食味 Taste
总分 Total score
磨粉品质 Milling quality
籽粒硬度 Grain hardness
0.02
0.24
-0.46* *
-0.40* *
-0.51* *
-0.16
-0.44* *
蛋白质含量 Protein content
-0.41* *
0.42* *
-0.27*
-0.14
-0.05
-0.21
-0.25
面粉颜色 Flour color
面粉a* 值 Flour a* value
-0.40* *
0.17
-0.18
-0.25
-0.30*
-0.71* *
-0.40* *
面粉b* 值 Flour b* value
0.26
0.09
0.09
0.15
0.19
0.61* *
0.36* *
黄色素含量 Yellow pigment content
0.22
-0.08
0.15
0.35* *
0.23
0.66* *
0.25
PPO活性 PPO activity
0.03
-0.41* *
0.38* *
0.32*
0.37* *
0.06
0.34* *
和面仪参数 Mixograph parameter
峰值时间 Peak time
-0.29*
0.33*
-0.56* *
-0.21
-0.48* *
-0.05
-0.46* *
峰值面积 Peak integral
-0.31*
0.34* *
-0.58* *
-0.22
-0.51* *
-0.11
-0.49* *
衰落势 Right of peak slope
-0.05
0.37* *
-0.68* *
-0.41* *
-0.63* *
-0.08
-0.56* *
8 min带宽 Width at 8 min
-0.25
0.37* *
-0.73* *
-0.30*
-0.57* *
-0.13
-0.58* *
混合实验仪参数 Mixolab parameter
形成时间 Development time
-0.37* *
0.43* *
-0.60* *
-0.27*
-0.48* *
-0.26
-0.53* *
稳定时间 Stability
-0.19
0.45* *
-0.69* *
-0.40* *
-0.59* *
0.15
-0.59* *
C2
-0.03
0.21
-0.46* *
-0.37* *
-0.55* *
-0.07
-0.45* *
C3
0.10
0.17
-0.34* *
-0.33*
-0.42* *
0.10
-0.32*
快速黏度仪参数 RVA parameter
峰值黏度 Peak viscosity
-0.14
-0.37* *
0.11
0.59* *
0.22
-0.12
0.26*
低谷黏度 Through viscosity
-0.18
-0.36* *
0.14
0.53* *
0.20
-0.15
0.23
稀澥值 Breakdown
0.01
-0.25*
0.01
0.45* *
0.16
0.03
0.20
最终黏度 Final viscosity
-0.01
-0.50* *
0.10
0.44* *
0.11
-0.06
0.19
Flour yield, flour L* value, Mixolab parameters water absorption, C4, C5, and setback were not involved because they were not correlated with noodle quality. * and * * indicate correlation at the 0.05 and 0.01 probability level, respectively. 出粉率、面粉L* 值、混合实验仪吸水率、C4、C5、反弹值与面条品质不相关, 未列出。* 和* * 分别表示在0.05和0.01概率水平相关。
表4 磨粉品质、面团特性、淀粉品质与面条品质的相关性 Table 4 Correlation coefficients among milling quality, dough characteristics, starch quality, and noodle quality
附表2 58 份小麦品种在4 个环境下磨粉品质和面粉颜色相关性状的平均值 Supplementary table 2 Average traits values related to milling quality and flour color in 58 wheat cultivars over four growing environments
品种 Cultivar
籽粒硬度 Grain hardness
蛋白质含量 Protein content (%)
出粉率 Flour yield (%)
黄色素含量 Yellow pigment content (mg kg-1)
PPO活性 PPO activity (U min-1g-1)
L* 值 L* value
a* 值 a* value
b* 值 b* value
中优206 Zhongyou 206
67.0
15.1
67.8
1.5
4.1
90.9
-1.2
10.4
中麦996 Zhongmai 996
67.0
14.0
65.0
1.6
4.0
90.8
-1.4
11.1
中麦998 Zhongmai 998
71.8
13.8
65.8
1.5
3.8
91.0
-1.3
10.7
中麦629 Zhongmai 629
58.7
15.4
65.9
0.9
5.3
91.3
-0.8
8.3
中麦1062 Zhongmai 1062
65.3
13.7
67.3
1.5
3.5
90.8
-1.3
10.8
CA0493
63.6
15.9
66.3
1.7
3.5
91.0
-1.4
11.2
CA1004
66.5
15.4
63.4
1.8
3.7
90.8
-1.6
12.0
农大3615 Nongda 3615
57.7
17.0
60.4
1.0
3.8
91.1
-1.0
8.6
农大3753 Nongda 3753
58.7
15.1
67.8
1.2
4.2
91.0
-1.1
9.1
农大5363 Nongda 5363
52.7
17.5
64.7
1.3
4.3
90.7
-1.1
9.7
GY12014
68.0
15.5
64.1
1.1
3.6
91.2
-0.9
9.0
GY12023
68.7
15.2
63.8
1.1
3.8
91.4
-0.9
8.7
师栾02-1 Shiluan 02-1
79.0
15.5
61.6
1.1
3.0
91.0
-0.9
9.0
石优17 Shiyou 17
62.2
13.0
65.9
1.3
5.1
91.5
-1.3
9.3
石优20 Shiyou 20
68.8
13.6
61.7
1.1
4.6
91.5
-1.0
8.5
藁优2018 Gaoyou 2018
65.9
14.7
64.2
1.2
3.7
91.6
-1.2
9.2
藁城8901 Gaocheng 8901
75.7
15.4
60.6
0.9
3.0
90.9
-0.6
8.1
石4185 Shi 4185
64.5
14.1
64.3
1.1
4.6
91.5
-0.9
8.5
济南17 Jinan 17
77.1
14.0
62.2
0.9
4.0
91.3
-0.8
8.1
济麦20 Jimai 20
68.8
14.5
64.3
1.2
3.9
91.6
-1.2
9.4
济麦22 Jimai 22
71.9
14.0
64.8
1.3
4.1
91.4
-1.2
9.7
济麦23 Jimai 23
73.7
15.0
63.5
1.4
4.5
91.2
-1.2
10.2
济麦24 Jimai 24
71.1
14.8
63.9
1.0
4.6
91.2
-1.0
8.8
济麦0860229 Jimai 0860229
81.8
14.4
62.0
1.5
3.4
91.4
-1.2
9.9
12品404 12-Pin-404
72.7
16.0
57.8
1.0
3.3
91.3
-0.8
8.5
洲元9369 Zhouyuan 9369
74.6
14.8
65.4
1.0
4.7
91.4
-0.8
8.3
山农11-28 Shannong 11-28
65.0
14.8
60.3
1.0
6.0
92.0
-0.9
7.5
郑麦366 Zhengmai 366
69.9
14.6
63.5
1.5
3.9
91.2
-1.2
10.2
郑麦129 Zhengmai 129
71.1
14.1
62.0
1.2
4.3
91.4
-1.2
9.7
郑5373 Zheng 5373
68.6
14.0
59.7
0.9
5.1
91.6
-0.7
7.1
豫麦34 Yumai 34
58.4
14.6
60.4
0.9
5.2
91.7
-0.7
7.1
中麦895 Zhongmai 895
59.2
14.4
60.6
2.2
6.1
91.3
-1.7
12.0
中优255 Zhongyou 255
69.9
15.5
64.8
1.2
4.3
91.3
-1.0
9.1
12CA25
67.2
15.4
64.8
1.3
3.5
91.5
-1.1
9.4
12CA29
68.0
14.8
64.4
1.1
4.1
91.4
-1.0
8.9
12CA39
67.8
14.5
62.9
1.2
4.8
91.5
-1.0
9.0
13CA38
58.9
13.9
65.8
1.0
5.0
91.3
-0.8
8.0
13CA39
61.8
14.1
64.1
1.4
4.9
91.2
-1.0
9.2
13CA47
65.1
13.2
64.4
0.9
4.8
91.3
-0.7
7.9
13CA48
69.3
13.7
63.1
0.9
4.4
91.3
-0.7
7.7
13CA66
66.5
15.0
68.1
1.5
3.9
91.2
-1.2
10.3
新麦26 Xinmai 26
74.6
15.3
59.3
1.1
4.7
91.2
-0.8
8.3
新麦28 Xinmai 28
69.5
15.4
64.0
0.9
4.4
91.5
-0.7
7.7
丰德存麦5号 Fengdecunmai 5
62.6
14.3
65.9
1.6
5.2
91.3
-1.5
11.0
周麦24 Zhoumai 24
56.8
14.6
62.0
1.1
6.0
92.0
-0.7
7.3
周麦26 Zhoumai 26
57.6
13.3
61.4
1.6
6.6
91.7
-1.3
9.8
周麦32 Zhoumai 32
55.2
16.0
60.4
1.1
5.9
91.6
-0.8
7.7
西农509 Xinong 509
64.7
14.4
63.8
2.3
5.8
91.0
-1.7
12.5
西农979 Xinong 979
76.6
13.7
61.5
0.7
4.0
91.5
-0.5
6.9
武农986 Wunong 986
68.0
14.4
66.1
0.7
4.2
91.4
-0.6
7.1
陕627 Shaan 627
63.6
15.5
61.1
1.2
5.3
91.4
-0.9
8.5
舜麦1718 Shunmai 1718
73.2
14.6
61.4
1.5
5.0
91.3
-1.3
10.2
Jagger
78.7
16.3
59.8
1.8
3.6
90.8
-1.2
10.8
Karl
73.2
15.2
64.1
1.1
3.6
91.4
-0.7
8.0
Baxter
70.9
15.4
63.2
0.8
4.7
91.5
-0.7
7.7
Livingston
72.4
14.8
64.9
0.8
4.1
91.4
-0.6
7.4
Ellison
73.8
15.5
63.9
1.4
4.3
91.3
-1.2
9.8
Sunzell
72.2
14.8
65.1
1.2
3.6
91.4
-1.1
9.1
附表2 58 份小麦品种在4 个环境下磨粉品质和面粉颜色相关性状的平均值 Supplementary table 2 Average traits values related to milling quality and flour color in 58 wheat cultivars over four growing environments
附表3 58 份小麦品种在4 个环境下的和面仪和混合实验仪参数平均值 Supplementary table 3 Average parameters of Mixograph and Mixolab in 58 wheat cultivars over four growing environments
品种 Cultivar
PT (min)
PI (%tq× min)
RPS
T× W (mm)
WA (%)
DT (min)
ST (min)
C2 (Nm)
C3 (Nm)
C4 (Nm)
C5 (Nm)
中优206 Zhongyou 206
5.2
181.6
-0.6
12.7
58.3
9.2
11.8
0.6
1.8
2.3
3.6
中麦996 Zhongmai 996
3.5
126.0
-2.5
7.3
58.3
4.1
8.8
0.5
1.9
2.3
3.6
中麦998 Zhongmai 998
4.2
147.1
-1.5
8.3
58.7
6.5
9.6
0.6
2.2
2.3
3.6
中麦629 Zhongmai 629
2.6
96.7
-3.1
7.3
60.5
4.6
8.3
0.6
2.2
2.2
3.1
中麦1062 Zhongmai 1062
3.5
120.1
-2.2
6.6
58.9
4.5
8.4
0.5
1.9
2.2
3.5
CA0493
4.5
170.2
-2.6
11.3
60.0
8.0
10.0
0.5
1.6
2.1
3.3
CA1004
3.5
126.5
-3.4
5.2
60.6
6.1
8.2
0.5
1.8
1.9
2.6
农大3615 Nongda 3615
2.1
82.3
-4.6
4.0
63.2
3.4
5.4
0.4
1.8
1.8
2.9
农大3753 Nongda 3753
4.0
145.2
-2.3
11.3
59.8
7.9
9.6
0.5
2.2
2.2
3.6
农大5363 Nongda 5363
2.4
87.3
-4.0
4.9
62.4
5.0
5.9
0.5
1.8
1.9
3.1
GY12014
5.2
185.3
-1.3
11.1
57.9
8.3
11.5
0.6
2.0
2.2
3.6
GY12023
5.0
169.5
-0.5
12.0
56.3
7.8
11.7
0.6
2.1
2.3
3.9
师栾02-1 Shiluan 02-1
6.0
221.5
-1.2
14.3
58.7
8.1
12.2
0.6
1.9
2.2
3.7
石优17 Shiyou 17
3.8
137.9
-1.2
7.7
60.3
5.3
9.0
0.5
1.9
2.2
3.5
石优20 Shiyou 20
4.1
152.8
-1.6
8.1
59.6
5.7
9.6
0.6
2.0
2.1
3.3
藁优2018 Gaoyou 2018
3.7
132.1
-0.7
10.2
57.9
8.1
11.0
0.6
1.9
2.3
3.7
藁城8901 Gaocheng 8901
4.3
165.5
-2.4
9.2
60.9
6.2
10.0
0.6
1.8
2.0
3.3
石4185 Shi 4185
1.6
56.2
-8.3
3.0
58.5
2.8
2.8
0.4
1.2
2.0
3.0
济南17 Jinan 17
3.0
121.1
-0.6
8.9
63.4
7.0
10.1
0.6
1.8
2.0
3.1
济麦20 Jimai 20
3.7
130.3
-1.1
8.5
58.3
7.3
10.5
0.6
1.8
2.3
3.8
济麦22 Jimai 22
2.4
87.9
-2.9
6.0
61.4
4.1
6.1
0.5
1.9
2.0
3.2
济麦23 Jimai 23
2.9
108.2
-1.3
9.4
64.8
6.1
9.1
0.6
2.0
2.0
3.2
济麦24 Jimai 24
3.0
106.5
-0.4
10.9
64.2
7.7
9.8
0.6
2.1
2.1
3.3
济麦0860229 Jimai 0860229
6.3
228.8
-0.7
16.9
59.6
4.3
12.1
0.7
2.0
2.2
3.5
12品404 12-Pin-404
4.7
181.5
-0.6
13.1
65.7
9.3
11.4
0.6
2.0
2.0
3.2
洲元9369 Zhouyuan 9369
4.1
157.3
-2.6
9.0
61.1
7.4
8.4
0.5
1.9
2.0
3.2
山农11-28 Shannong 11-28
3.1
119.1
-2.7
7.3
60.9
6.0
7.5
0.6
1.8
2.0
3.4
郑麦366 Zhengmai 366
3.4
137.3
-1.3
10.8
62.9
7.9
8.8
0.5
1.9
2.0
3.1
郑麦129 Zhengmai 129
2.6
102.7
-2.6
9.2
65.5
5.4
8.2
0.6
2.0
2.0
3.2
郑5373 Zheng 5373
4.5
165.7
-1.4
9.8
60.8
6.5
9.7
0.6
1.8
2.3
3.7
豫麦34 Yumai 34
3.8
149.4
-3.3
8.3
61.6
6.0
8.6
0.6
1.7
2.1
3.2
中麦895 Zhongmai 895
1.9
68.6
-6.6
3.4
61.2
3.0
3.5
0.5
2.1
2.0
3.1
中优255 Zhongyou 255
4.7
176.9
-1.6
11.1
60.3
8.4
10.1
0.6
1.9
2.1
3.4
12CA25
4.3
153.1
-1.0
12.1
59.2
7.8
10.4
0.6
2.1
2.1
3.5
12CA29
5.2
171.6
-0.4
13.5
56.5
8.0
11.8
0.6
2.2
2.3
4.0
12CA39
4.4
165.2
-1.9
10.1
59.4
8.6
10.0
0.6
2.1
2.1
3.5
13CA38
3.9
136.3
-3.3
4.6
56.8
6.8
8.9
0.5
1.7
2.2
3.6
13CA39
3.4
111.9
-5.0
3.3
56.8
4.2
6.2
0.5
1.4
2.1
3.2
13CA47
3.7
138.0
-2.8
7.7
57.4
6.1
9.7
0.5
1.5
2.3
3.7
13CA48
4.4
159.8
-1.4
9.8
58.4
7.1
10.6
0.5
1.6
2.2
3.7
13CA66
5.9
208.8
-0.1
14.7
57.2
7.4
12.0
0.6
1.9
2.2
3.6
新麦26 Xinmai 26
5.2
210.0
-0.8
17.8
64.7
9.7
12.0
0.6
2.0
2.1
3.2
新麦28 Xinmai 28
4.1
156.3
-1.7
10.6
61.1
8.4
9.2
0.5
1.8
2.1
3.4
丰德存麦5号 Fengdecunmai 5
3.5
130.4
-1.6
8.6
60.5
7.4
8.6
0.5
2.0
2.1
3.4
周麦24 Zhoumai 24
5.3
182.1
-1.0
9.0
57.6
8.5
11.0
0.6
1.8
2.3
3.8
周麦26 Zhoumai 26
1.8
62.4
-5.9
3.3
57.9
2.1
3.4
0.4
1.4
2.1
3.3
周麦32 Zhoumai 32
3.9
142.5
-2.8
5.7
59.2
7.0
9.3
0.6
1.9
2.2
3.5
西农509 Xinong 509
5.7
187.4
-1.8
8.9
56.7
8.5
10.8
0.5
1.5
2.2
3.5
西农979 Xinong 979
4.1
155.4
-1.4
13.1
63.8
8.7
11.1
0.6
2.0
2.2
3.4
武农986 Wunong 986
4.1
147.5
-2.3
8.3
57.9
8.0
10.2
0.6
1.9
2.2
3.7
陕627 Shaan 627
3.1
117.9
-3.3
5.3
60.1
5.9
7.3
0.6
2.0
2.0
3.3
舜麦1718 Shunmai 1718
3.3
126.6
-1.4
9.6
62.5
6.9
9.9
0.6
1.9
2.1
3.3
Jagger
4.0
149.8
-1.0
13.7
59.3
8.0
11.0
0.5
1.4
2.1
3.3
Karl
5.5
202.4
-0.7
13.1
58.3
9.0
11.6
0.5
1.9
2.1
3.2
Baxter
3.1
125.0
-2.7
13.2
60.3
8.1
10.1
0.5
1.7
2.2
3.5
Livingston
3.1
120.6
-2.7
11.6
61.0
7.4
9.1
0.5
1.8
2.1
3.3
Ellison
3.9
145.0
-2.4
10.9
59.0
6.5
10.3
0.6
1.7
2.2
3.4
Sunzell
4.2
154.4
-1.7
11.1
58.0
6.7
10.5
0.5
1.6
2.1
3.4
PT: 峰值时间; PI: 峰值面积; RPS: 衰落势; T×W: 8 min 带宽; WA: 吸水率; DT: 形成时间; ST: 稳定时间。 PT: peak time; PI: peak integral; RPS: right of peak slope; T×W: width at 8 min; WA: water absorption; DT: development time; ST:stability.
附表3 58 份小麦品种在4 个环境下的和面仪和混合实验仪参数平均值 Supplementary table 3 Average parameters of Mixograph and Mixolab in 58 wheat cultivars over four growing environments
附表4 58 份小麦品种在4 个环境下淀粉糊化特性参数与面条品质的平均值 Supplementary table 4 Average RVA parameters and noodle quality in 58 wheat cultivars over four growing environments
附表4 58 份小麦品种在4 个环境下淀粉糊化特性参数与面条品质的平均值 Supplementary table 4 Average RVA parameters and noodle quality in 58 wheat cultivars over four growing environments
The authors have declared that no competing interests exist.
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