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作物学报

作物学报 ›› 2020, Vol. 46 ›› Issue (3): 448-461.doi: 10.3724/SP.J.1006.2020.91031

• 耕作栽培·生理生化 • 上一篇    下一篇

大麦种质资源成株期抗旱性鉴定及抗旱指标筛选

徐银萍,潘永东(),刘强德,姚元虎,贾延春,任诚,火克仓,陈文庆,赵锋,包奇军,张华瑜   

  1. 甘肃省农业科学院经济作物与啤酒原料研究所, 甘肃兰州 730070
  • 收稿日期:2019-04-17 接受日期:2019-08-09 出版日期:2020-03-12 网络出版日期:2020-03-01
  • 通讯作者: 潘永东
  • 作者简介:E-mail: xuyinping7810@163.com
  • 基金资助:
    本研究由甘肃省国际科技合作项目(17YF1WA156);甘肃省农业科学院农业科技创新专项科技支撑计划项目(2018GAAS02);甘肃省农业科学院科技自主创新专项现代生物育种项目(2019GAAS08);甘肃省农业科学院科研条件建设及成果转化中青年基金项目(2017GAAS74);国家现代农业产业技术体系建设专项资助(CARS-05)

Drought resistance identification and drought resistance indexes screening of barley resources at mature period

Yin-Ping XU,Yong-Dong PAN(),Qiang-De LIU,Yuan-Hu YAO,Yan-Chun JIA,Cheng REN,Ke-Cang HUO,Wen-Qing CHEN,Feng ZHAO,Qi-Jun BAO,Hua-Yu ZHANG   

  1. Institute of Industrial Crops and Malting Barley, Gansu Academy of Agricultural Sciences, Lanzhou 730070, Gansu, China
  • Received:2019-04-17 Accepted:2019-08-09 Published:2020-03-12 Published online:2020-03-01
  • Contact: Yong-Dong PAN
  • Supported by:
    This study was supported by Gansu International Science and Technology Cooperation Project of China(17YF1WA156);Gansu Academy of Agricultural Sciences Agricultural Science and Technology Support Program of China(2018GAAS02);Gansu Academy of Agricultural Sciences Modern Biological Breeding Project of China(2019GAAS08);Gansu Academy of Agricultural Young and Middle-aged Fund Project of China(2017GAAS74);China Agriculture Research System(CARS-05)

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摘要：

干旱是影响大麦生产的主要因素之一。在鉴定大麦种质资源成株期抗旱性的基础上, 筛选抗旱指标, 可为培育抗旱品种提供依据。本研究在2016和2017年在大麦生长主要需水期平均降雨量不足40 mm的甘肃省武威市进行田间试验, 以30份大麦种质资源为研究对象, 设置正常灌水和干旱胁迫处理, 测定大麦株高、穗长、分蘖数、单株粒数、单株粒重、穗粒数、千粒重和产量, 采用抗旱性度量值(D)、综合抗旱系数(CDC)、加权抗旱系数(WDC)、相关分析、频次分析、主成分分析、灰色关联度分析、隶属函数分析、聚类分析和逐步回归分析相结合的办法, 对其进行抗旱性鉴定及抗旱指标的筛选。干旱胁迫对测定的各指标均有极显著影响。频次分析表明, 各指标对干旱胁迫反应的敏感程度依次为产量、株高、单株粒重、穗长、单株粒数、分蘖数、穗粒数和千粒重。相关分析表明, 产量与株高、穗长、分蘖数、单株粒数和单株粒重呈极显著正相关, 与穗粒数呈显著正相关、与千粒重呈不显著正相关。主成分分析表明, 5个主成分可以代表大麦抗旱性86.39%的原始数据信息量。基于D值、CDC值和WDC值的大麦种质资源抗旱性排序基本一致。灰色关联度分析表明, 各指标单项抗旱系数值与D值间的关联度依次为产量、单株粒重、单株粒数、穗长、株高、分蘖、穗粒数和千粒重, 各指标DC值与WDC值间的关联大小依次为单株粒重、产量、单株粒数、分蘖、穗长、穗粒数、株高和千粒重。根据D值进行聚类分析, 将供试大麦种质资源依据抗旱性从强到弱分为5个抗旱等级, 其中1级5份、2级1份、3级11份、4级10份、5级3份。除分蘖和千粒重外, 其余指标的隶属函数值、CDC值、D值和WDC值均随着抗旱级别的升高而增大。回归分析表明, 5个测定指标均与D值密切相关。干旱胁迫对大麦种质资源成株期各指标均有极显著影响。确定了D值为适宜的抗旱鉴定指标。筛选出成株期抗旱性强的大麦种质资源甘啤7号、Z06-278-9、MERIT、NEVADA和西藏25, 可为大麦抗旱育种、抗旱机制以及干旱调控缓解机制的研究提供技术支持。穗长、单株粒数、单株粒重、穗粒数、产量可作为大麦种质资源成株期简单、直观的抗旱评价指标。

关键词: 大麦(Hordeum vulgare L.), 成株期, 抗旱性, 抗旱指标

Abstract:

Drought is one of the major factors affecting barley production. Identification of drought resistance of barley resource at maturity stage, could provide and their associating indexes a basis for breeding drought-resistant cultivars. Field experiments were carried out in Wuwei city, Gansu province, in 2016 and 2017, where the average rainfall during the main water requirement period is less than 40 mm. thirty barley resource under measured normal irrigation and drought stress were used to measured plant height, spike length, tiller number, grain number per plant, grain weight per plant, grain number per spike, 1000-grain weight and yield of barley. Drought resistance comprehensive evaluation value (D-value), comprehensive drought resistance coefficient (CDC-value), weight drought resistance coefficient (WDC-value), correlation analysis, frequency analysis, principal component analysis, grey relational analysis, subordinate function analysis, clustering analysis, and stepwise regression analysis were combined to identify the drought resistance and to screen drought resistance indexes of tested resource at mature period. Drought stress had significant effects on all measured indexes. Frequency analysis showed that the sensitivity of each index to drought stress was yield, plant height, grain weight per plant, spike length, grain number per plant, tiller number, grain number per spike and 1000-grain weight. The yield was very significantly and positively correlated with plant height, spike length, tiller number, grain number per plant and grain weight per plant, and significantly and positively correlated with grain number per spike, but not correlated with 1000-grain weight. Principal component analysis showed that five principal components could represent 86.39% of the original data information of barley drought resistance. The ranks of drought resistance based on the D-value, CDC-value, and WDC-value were similar. Grey relational analysis showed that the correlation degree between DC-value of all indexes and D-value in turn for yield, grain weight per plant, grain number per plant, spike length, plant height, tiller number, grain number per spike and 1000-grain weight, the correlation degree between DC-value of all indexes and WDC-value in turn for grain weight per plant, yield, grain number per plant, tiller number, spike length, grain number per spike, plant height and1000-grain weight, According to D-value clustering analysis, tested barley materials were divided into five drought resistance grades, in which five were in grade 1, one was in grade 2, eleven were in grade 3, ten were in grade 4, and three were in grade 5. Except for tiller number and 1000-grain weight, the subordinate function values, CDC-values, D-values, and WDC-values of other indicators were increased with increase of drought resistance grades. Stepwise regression analysis showed that plant height, Spike length, tiller number, grain number per plant, grain weight per plant, grain number per spike, 1000-grain weight and yield were closely related to the D-value. Drought stress had significant effects on all indexes of barley resources at mature period. D-value was determined as an appropriate index for drought resistance identification. Ganpi 7, Z06-278-9, MERIT, NEVADA, and Xizang 25 were identified as drought resistant barley materials at mature period, which could provide basic materials for the researches on cultivar breeding, drought resistant mechanism, and regulation and alleviation mechanism of drought resistance in barley. The spike length, grain number per plant, grain weight per plant, grain number per spike and yield could be used as the simple and intuitive identification indexes of drought resistance in barley resources at mature period.

Key words: barley (Hordeum vulgare L.), mature period, drought resistance, drought resistance indexes

表1

30份大麦种质的来源"

编号Number 名称
Name		 来源
Origin
01 Z06-278-9 美国 USA
02 Z06-266-10 美国 USA
03 MERIT 美国 USA
04 Z06-291-1 美国 USA
05 BARI188 美国 USA
06 BARI160 美国 USA
07 BARI187 美国 USA
08 BARI165 美国 USA
09 西藏10 Xizang 10 中国西藏 Tibet, China
10 西藏12 Xizang 12 中国西藏 Tibet, China
11 西藏23 Xizang 23 中国西藏 Tibet, China
12 西藏25 Xizang 25 中国西藏 Tibet, China
13 NEVADA 美国 USA
14 甘啤6号 Ganpi 6 中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
15 甘饲1号 Gansi 1 中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
16 0420-7 (甘啤4号杂交后代) Derived from Ganpi 4 中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
17 0521-6 (甘啤7号杂交后代) Derived from Ganpi 7 中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
18 2153122 (甘啤7号杂交后代) Derived from Ganpi 7 中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
19 0821-2 (MERIT杂交后代) Derived from MERIT 中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
20 0835-3 (MERIT杂交后代) Derived from MERIT 中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
21 0844-1 (MERIT杂交后代) Derived from MERIT 中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
22 0903-2 (法瓦维特杂交后代) Derived from Favorit 中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
23 中黄1号 Zhonghuang 1 中国甘肃甘南州 Gannan, Gansu, China
24 0902-1 (法瓦维特杂交后代) Derived from Favorit 中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
25 陇青1号 Longqing 1 中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
26 甘啤4号 Ganpi 4 中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
27 甘啤7号 Ganpi 7 中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
28 甘啤8号 Ganpi 8 中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
29 甘啤9号 Ganpi 9 中国甘肃省农业科学院 Gansu Academy of Agricultural Sciences, China
30 Aspen 美国 USA

表2

干旱胁迫和正常灌水条件下供试大麦种质各测定指标平均值差异分析"

项目
Item		 株高
PH (cm)		 穗长
SL (cm)		 分蘖数
TN		 单株粒数
GNPP		 单株粒重GWPP (g) 穗粒数
KNPS		 千粒重
TGW (g)		 产量
Y (kg hm-2)
CK T CK T CK T CK T CK T CK T CK T CK T
平均值 Ave. 79.41 58.59 7.61 6.31 2.66 2.29 62.77 52.11 3.01 2.31 23.67 21.04 48.84 43.42 3.07 1.45
变异系数 CV 0.086 0.105 0.084 0.136 0.078 0.150 0.101 0.128 0.146 0.185 0.098 0.121 0.070 0.074 0.083 0.412
标准误 SE 6.623 0.666 0.261 7.352 0.325 1.808 3.077 2.428
t值 t-value 17.218 10.746 7.794 7.946 10.919 7.985 9.655 5.855
P值 P-value 0.0001** 0.0001** 0.0001** 0.0001** 0.0001** 0.0001** 0.0001** 0.0001**
相关系数 r 0.499 0.652 0.665 0.382 0.681 0.737 0.587 0.352

表3

供试大麦种质各指标的抗旱系数"

编号
Number		 株高
PH		 穗长
EL		 分蘖数
TN		 单株粒数
GNPP		 单株粒重
GWPP		 穗粒数
KNPS		 千粒重
TGW		 产量
Y
01 0.845 0.889 0.962 0.968 0.850 0.936 0.875 0.815
02 0.683 0.901 0.867 0.772 0.884 0.775 0.934 0.462
03 0.815 0.917 0.981 0.937 0.862 0.925 0.902 0.823
04 0.662 0.853 0.913 0.825 0.905 0.785 0.990 0.370
05 0.774 0.909 0.926 0.878 0.810 0.887 0.936 0.384
06 0.707 0.794 0.759 0.783 0.704 0.723 0.806 0.369
07 0.778 0.815 0.767 0.759 0.736 0.793 0.824 0.393
08 0.722 0.797 0.750 0.790 0.690 0.820 0.830 0.403
09 0.763 0.875 0.857 0.824 0.815 0.891 0.955 0.442
10 0.752 0.964 0.926 0.867 0.757 0.939 0.884 0.728
11 0.709 0.840 0.988 0.885 0.905 0.974 0.841 0.442
12 0.837 0.779 0.739 0.966 0.913 0.944 0.982 0.744
13 0.879 0.904 0.964 0.960 0.859 0.956 0.910 0.806
14 0.736 0.921 0.929 0.898 0.814 0.976 0.807 0.424
15 0.640 0.766 0.852 0.789 0.798 0.828 0.822 0.361
16 0.715 0.725 0.690 0.753 0.596 0.721 0.815 0.293
17 0.722 0.821 0.788 0.924 0.794 0.897 0.856 0.377
18 0.749 0.970 0.929 0.792 0.854 0.954 0.990 0.493
19 0.566 0.766 0.962 0.781 0.679 0.973 0.944 0.499
20 0.813 0.749 0.907 0.792 0.750 0.871 0.871 0.503
21 0.637 0.789 0.875 0.715 0.741 0.881 0.935 0.466
22 0.788 0.759 0.739 0.749 0.663 0.882 0.904 0.329
23 0.750 0.654 0.706 0.591 0.671 0.828 0.906 0.231
24 0.773 0.757 0.857 0.775 0.701 0.942 0.954 0.329
25 0.782 0.787 0.740 0.980 0.657 0.978 0.937 0.385
26 0.687 0.786 0.963 0.865 0.808 0.949 0.867 0.441
27 0.834 0.944 0.966 0.982 0.985 0.953 0.953 0.839
28 0.683 0.782 0.815 0.889 0.707 0.902 0.855 0.274
29 0.718 0.991 0.964 0.929 0.670 0.938 0.839 0.385
30 0.670 0.636 0.687 0.588 0.475 0.853 0.794 0.273
平均值Ave. 0.740 0.828 0.859 0.834 0.768 0.889 0.891 0.469
变异系数CV 0.093 0.106 0.113 0.122 0.140 0.083 0.066 0.373

表4

供试大麦种质各指标抗旱系数在不同区间的分布"

指标
Index		 0<DC<0.2 0.2<DC<0.4 0.4<DC<0.6 0.6<DC<0.8 0.8<DC<1.0
次数
Times		 频率
Freq.(%)		 次数
Times		 频率
Freq.(%)		 次数
Times		 频率
Freq.(%)		 次数
Times		 频率
Freq.(%)		 次数
Times		 频率
Freq.(%)
株高 PH 0 0 0 0 1 3 23 77 6 20
穗长 EL 0 0 0 0 0 0 14 47 16 53
分蘖数 TN 0 0 0 0 0 0 10 33 20 67
单株粒数GNPP 0 0 0 0 2 6.7 12 40 16 53.3
单株粒GWPP 0 0 0 0 1 3 15 50 14 47
穗粒数 KNPS 0 0 0 0 0 0 5 17 25 83
千粒重 TGW 0 0 0 0 0 0 1 3 29 97
产量 Y 0 0 14 46.7 10 33.3 2 6.7 4 13.3

表5

供试大麦种质各指标抗旱系数的相关性"

指标
Index		 株高
PH		 穗长
EL		 分蘖数
TN		 单株粒数
GNPP		 单株粒重
GWPP		 穗粒数
KNPS		 千粒重
TGW		 产量
Y
株高 PH —
穗长 EL 0.298 —
分蘖数 TN 0.069 0.705** —
单株粒数 GNPP 0.478** 0.641** 0.507** —
单株粒重 GWPP 0.339* 0.620** 0.622** 0.599** —
穗粒数 KNPS 0.270 0.370* 0.558** 0.562** 0.288 —
千粒重 TGW 0.194 0.250 0.254 0.187 0.471** 0.313 —
产量 Y 0.571** 0.555** 0.553** 0.626** 0.629** 0.451* 0.319 —

表6

供试大麦种质各指标主成分的特征向量及贡献率"

指标
Index		 因子载荷 Factor loading
F1 F2 F3 F4 F5
株高 PH 0.423 -0.631 0.728 -0.076 0.240
穗长 EL -1.420 0.407 -0.032 0.026 -0.731
分蘖数 TN 0.580 -0.020 -0.234 -0.424 -0.120
单株粒数 GNPP 0.214 -0.252 0.272 -0.284 0.661
单株粒重 GWPP 0.259 0.049 -0.513 0.917 0.324
穗粒数 KNPS -0.246 -0.055 0.821 0.192 -0.097
千粒重 TGW -0.205 -0.049 0.153 0.555 -0.066
产量 Y -0.202 0.662 -0.116 -0.190 1.392
特征根 Characteristic root 3.107 1.267 0.963 0.802 0.697
贡献率 Contribution rate (%) 39.46 15.68 11.96 9.94 8.38
累计贡献率 Cumulative contribution (%) 39.46 55.27 65.33 77.21 86.39
因子权重 Factor weight 0.453 0.189 0.135 0.109 0.103

表7

供试大麦种质抗旱性评价的CDC值、WDC值和D值"

编号
Number		 隶属函数Subordinate function value CDC值
CDC-value		 排序
Rank		 D值
D-value		 排序
Rank		 WDC值
WDC-value		 排序
Rank
μ1 μ2 μ3 μ4 μ5
01 0.879 0.741 0.893 0.852 0.891 0.893 4 0.852 3 0.891 4
02 0.534 0.270 0.776 0.094 0.745 0.785 15 0.481 17 0.778 15
03 0.888 0.632 0.487 0.859 0.536 0.895 3 0.837 4 0.894 3
04 0.536 0.142 0.641 0.737 0.804 0.788 14 0.457 18 0.779 14
05 0.606 0.343 0.630 0.378 0.805 0.813 10 0.554 10 0.804 10
06 0.289 0.538 0.535 0.860 0.625 0.706 27 0.338 27 0.699 27
07 0.363 0.633 0.575 0.288 0.379 0.733 23 0.417 20 0.726 23
08 0.342 0.573 0.653 0.165 0.796 0.725 26 0.388 22 0.718 25
09 0.571 0.443 0.647 0.769 0.806 0.803 11 0.545 11 0.794 12
10 0.751 0.485 0.478 0.553 0.858 0.852 6 0.698 6 0.848 6
11 0.660 0.177 0.563 0.497 0.327 0.823 8 0.564 8 0.815 8
12 0.764 1.000 0.404 0.553 0.615 0.863 5 0.811 5 0.859 5
13 0.908 0.775 0.512 0.423 0.549 0.905 2 0.882 2 0.902 2
14 0.628 0.280 0.550 0.473 0.771 0.813 9 0.559 9 0.805 9
15 0.375 0.239 1.000 0.530 0.735 0.732 24 0.348 26 0.724 24
16 0.143 0.646 0.754 0.833 0.463 0.664 29 0.243 28 0.655 28
17 0.491 0.491 0.654 0.222 0.902 0.772 18 0.491 16 0.764 18
18 0.692 0.257 0.397 0.056 0.816 0.841 7 0.605 7 0.832 7
19 0.486 0.000 0.579 0.562 0.540 0.771 19 0.389 21 0.761 19
20 0.510 0.609 0.907 0.838 0.757 0.782 13 0.529 13 0.775 16
21 0.430 0.213 0.536 0.437 0.666 0.755 21 0.387 23 0.746 21
22 0.318 0.657 0.507 0.467 1.000 0.727 25 0.386 24 0.715 22
23 0.123 0.579 0.591 1.000 0.649 0.667 28 0.214 29 0.654 29
24 0.422 0.452 0.880 0.554 0.545 0.761 20 0.428 19 0.749 20
25 0.492 0.716 0.509 0.000 0.310 0.781 12 0.537 12 0.770 17
26 0.568 0.212 0.364 0.571 0.781 0.796 13 0.497 15 0.787 13
27 1.000 0.657 0.566 0.515 0.848 0.932 1 0.931 1 0.930 1
28 0.379 0.341 0.781 0.528 0.615 0.738 22 0.372 25 0.728 22
29 0.597 0.183 0.540 0.725 0.675 0.804 11 0.514 14 0.796 11
30 0.000 0.531 0.077 0.496 0.417 0.622 30 0.106 30 0.610 30
平均值 Average — — — — — 0.785 — 0.512 — 0.777 —
变异系数 CV — — — — — 0.085 — 0.361 — 0.088 —

表8

供试大麦种质各指标DC值与D值和WDC值的关联度及各指标权重"

指标
Index		 关联度
Correlation degree		 排序
Rank		 权重系数
Weight		 关联度
Correlation degree		 排序
Rank
株高 PH 0.71289 5 0.124 0.64220 7
穗长 EL 0.73817 4 0.128 0.71687 5
分蘖数 TN 0.70595 6 0.122 0.72575 4
单株粒数 GNPP 0.74729 3 0.130 0.74033 3
单株粒重 GWPP 0.74891 2 0.130 0.75094 1
穗粒数 KNPS 0.65768 7 0.114 0.65098 6
千粒重 TGW 0.63599 8 0.110 0.59725 8
产量 Y 0.81646 1 0.142 0.74723 2

图1

基于D值的供试大麦材料抗旱性系统聚类图 1、2、3、4、5表示不同抗旱级别。"

表9

供试大麦种质抗旱性评价指标的分级"

指标
Index		 隶属函数 Subordinate function value
1 2 3 4 5
株高 PH 0.883 0.593 0.555 0.415 0.466
穗长 EL 0.923 0.705 0.653 0.427 0.100
分蘖数 TN 0.781 0.793 0.695 0.471 0.024
单株粒数 GNPP 0.951 0.709 0.707 0.501 0.141
单株粒重 GWPP 0.821 0.630 0.552 0.504 0.208
穗粒数 KNPS 0.865 0.848 0.764 0.513 0.310
千粒重 TGW 0.664 0.457 0.509 0.471 0.226
产量 Y 0.945 0.818 0.328 0.243 0.057
CDC值 CDC-value 0.898 0.852 0.801 0.744 0.651
D值 D-value 0.863 0.698 0.534 0.391 0.188
WDC值 WDC-value 0.895 0.848 0.793 0.734 0.640

表10

供试大麦种质抗旱性模型预测"

因变量
Dependent variable		 回归方程
Regression equation		 决定系数R2 F值
F-value		 P值
P-value		 相关系数 r
CDC值
CDC-
value		 WDC值
WDC-
value		 产量
Y
CDC值 CDC-value y = 0.144+0.179x2+0.095x4+0.193x5+0.215x6+0.157x8 0.985 314.79 <0.001 0.885** 0.999** 0.869**
D值 D-value y = -0.888+0.290x2+0.514x4+0.560x5+0.455x6-0.194x8 0.991 517.65 <0.001 0.900** 0.562**
WDC值 WDC-value y = 0.122+0.191x2+0.104x4+0.207x5+0.224x6+0.139x8 0.987 362.79 <0.001 0.854**

附表1

干旱胁迫和正常灌水条件下供试大麦种质各指标测定值"

编号
Number		 株高
PH (cm)		 穗长
SL (cm)		 分蘖数
TN		 单株粒数GNPP 单株粒重GWPP (g) 穗粒数
KNPS		 千粒重
TGW		 产量
Y (kg hm-2)
CK T CK T CK T CK T CK T CK T CK T CK T
01 78.92 66.70 8.04 7.15 2.63 2.53 60.97 59.03 3.20 2.72 23.95 22.42 52.60 46.03 3.39 2.76
02 89.78 61.33 7.77 7.00 2.77 2.40 69.80 53.90 3.28 2.90 26.20 20.30 47.49 44.36 2.73 1.26
03 88.67 72.30 8.21 7.52 2.60 2.55 71.53 67.03 3.14 2.70 27.96 25.87 44.79 40.39 3.17 2.61
04 93.49 61.92 7.92 6.76 2.67 2.43 60.93 50.30 2.88 2.61 24.95 19.60 48.40 47.90 3.32 1.23
05 79.78 61.73 7.48 6.80 2.81 2.60 57.77 50.70 2.59 2.10 20.51 18.20 45.01 42.11 3.18 1.22
06 83.33 58.94 6.93 5.50 2.90 2.20 58.87 46.10 2.84 2.00 21.58 15.60 48.26 38.92 3.27 1.21
07 77.96 60.64 7.49 6.10 2.87 2.20 63.80 48.40 3.17 2.33 21.94 17.40 49.62 40.90 3.16 1.24
08 75.82 54.76 7.90 6.30 2.80 2.10 59.23 46.80 2.90 2.00 22.21 18.20 49.06 40.70 3.05 1.23
09 87.84 67.03 7.20 6.30 2.80 2.40 52.70 43.40 2.70 2.20 19.30 17.20 50.35 48.10 3.11 1.37
10 86.56 65.06 7.89 7.61 2.70 2.50 66.23 57.40 3.37 2.55 24.53 23.03 50.43 44.56 3.35 2.44
11 73.49 52.13 7.26 6.10 2.83 2.80 66.30 58.70 3.01 2.72 23.40 22.80 48.88 41.11 3.22 1.42
12 73.83 61.83 6.80 5.30 2.30 1.70 52.20 50.40 2.30 2.10 23.40 22.10 43.90 43.10 2.73 2.03
13 74.67 65.60 7.43 6.71 2.80 2.70 60.20 57.80 2.96 2.55 22.59 21.60 51.32 46.70 3.36 2.71
14 74.02 54.44 7.31 6.73 2.80 2.60 65.63 58.97 3.68 3.00 23.73 23.16 56.14 45.31 2.90 1.23
15 82.87 53.05 8.88 6.80 2.70 2.30 64.67 51.00 3.51 2.80 24.27 20.10 54.39 44.70 3.22 1.16
16 80.50 57.55 8.00 5.80 2.90 2.00 57.40 43.20 3.35 2.00 22.60 16.30 49.30 40.20 3.31 0.97
17 78.54 56.68 6.70 5.50 2.67 2.10 61.80 57.10 3.15 2.50 23.20 20.80 54.98 47.04 3.00 1.13
18 69.54 52.05 6.70 6.50 2.80 2.60 62.10 49.20 3.04 2.60 22.46 21.42 49.21 48.72 2.90 1.43
19 90.42 51.20 7.31 5.60 2.60 2.50 59.30 46.30 2.80 1.90 22.00 21.40 44.40 41.90 2.55 1.27
20 77.14 62.72 8.41 6.30 2.50 2.27 62.87 49.80 2.80 2.10 25.70 22.38 54.40 47.40 2.62 1.32
21 89.86 57.26 7.60 6.00 2.40 2.10 74.27 53.10 2.70 2.00 26.23 23.11 45.64 42.69 2.59 1.21
22 74.05 58.34 7.90 6.00 2.30 1.70 67.20 50.30 3.02 2.00 23.70 20.90 44.89 40.60 3.19 1.05
23 74.07 55.54 6.88 4.50 2.27 1.60 84.10 49.70 4.77 3.20 31.89 26.40 51.83 46.93 2.82 0.65
24 73.61 56.91 7.53 5.70 2.10 1.80 62.33 48.30 2.71 1.90 22.86 21.52 43.48 41.47 2.96 0.97
25 82.25 64.30 8.90 7.00 2.43 1.80 60.10 58.90 2.74 1.80 25.25 24.68 46.37 43.44 2.75 1.06
26 79.46 54.57 7.76 6.10 2.70 2.60 61.60 53.30 3.01 2.43 23.68 22.47 48.77 42.27 3.07 1.35
27 80.48 67.10 8.90 8.40 2.90 2.80 66.10 64.90 2.68 2.64 23.40 22.30 51.30 48.90 3.41 2.86
28 74.49 50.91 7.80 6.10 2.70 2.20 56.37 50.10 2.55 1.80 22.57 20.36 45.03 38.50 3.34 0.92
29 70.80 50.81 6.86 6.80 2.80 2.70 59.90 55.63 2.84 1.90 21.77 20.42 47.44 39.81 3.03 1.17
30 66.08 44.30 6.60 4.20 2.77 1.90 56.93 33.50 2.74 1.30 22.40 19.10 47.53 37.74 3.33 0.91
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