Crops ›› 2017, Vol. 33 ›› Issue (4): 50-57.doi: 10.16035/j.issn.1001-7283.2017.04.009

Previous Articles     Next Articles

Grey Relational Analysis of Characters and Yield of Broom Millet and Discussion on Characteristics of Variety Selection

Yang Ruda,Li Hai,Lin Fengxian,Liang Haiyan   

  1. Institute of Crops in High Latitude&Cold Climate Area,Shanxi Academy of Agricultural Sciences,Datong 037008,Shanxi,China
  • Received:2017-04-21 Revised:2017-06-23 Online:2017-08-15 Published:2018-08-26
  • Contact: Haiyan Liang

RichHTML

4

PDF (PC)

136

Abstract:

Relational grade analysis of grey system was used to study the productive power of 45 cultivars of broom millet in this paper. we discussed the importance of agronomic traits of broom millet in process of production, in order to provide theoretical basis for breeding new varieties and selection of good parents. The results showed that the correlation degree sequence between the characters and yield of broom millet was panicle weight>stem diameter>grain weight per spike>plant height>1000-grain weight>ear length>effective tiller>number of days. This showed that the panicle weight and grain weight contributed greatly to yield. Stem diameter had closer relationship with yield. To a certain extent, stem diametert reflected robustness and lodging resistance of broom millet. Plant height also had some influence on yield. In the selection of breeding materials and parental identification, we should pay attention to those resources and breeding materials with the large spike and grain weight. At same time, we should consider stem diameter, plant height properly, so as to fully exploit the potential of germplasm resources and cultivate excellent cultivars.

Key words: Broom millet resources, Characters, Yield, Grey relational analysis, Breeding

Table 1

Broom millet varieties and sources"

品种类型
Cultivar type		 编号
Number		 品种名称(育成年限)
Cultivar name (Incubation years)		 粒色
Grain color		 品种来源Origin
粳性Japonica Y1 陇糜5号(1993,杂交) 黄 甘肃省农业科学院作物研究所
Y2 陇糜6号(1992,杂交) 黄 甘肃省农业科学院作物研究所
Y3 陇糜7号(2008,杂交) 褐 甘肃省农业科学院作物研究所
Y4 陇糜8号(2008,杂交) 黄 甘肃省农业科学院作物研究所
Y5 陇糜9号(2010,杂交G) 褐 甘肃省农业科学院作物研究所
Y6 陇糜10号(2012,杂交) 黄 甘肃省农业科学院作物研究所
Y7 陇糜11号 褐 甘肃省农业科学院作物研究所
Y8 宁糜9号(1992,杂交G) 黄 宁夏农业科学院固原分院
Y9 宁糜10号(1997,杂交G) 红 宁夏农业科学院固原分院
Y10 宁糜11号 红 宁夏农业科学院固原分院
Y11 宁糜13号(2002,杂交G) 白 宁夏农业科学院固原分院
Y12 宁糜14号(2006,杂交G) 红 宁夏农业科学院固原分院
Y13 宁糜16号(2007,杂交G) 红 宁夏农业科学院固原分院
Y14 宁糜17号(2009,杂交G) 红 宁夏农业科学院固原分院
Y15 内糜5号(1992,杂交G) 黄 内蒙古鄂尔多斯市农业科学研究所
Y16 内糜6号(2010,杂交G) 黄 内蒙古鄂尔多斯市农业科学研究所
Y17 内糜9号(2012,杂交) 红 内蒙古鄂尔多斯市农业科学研究所
Y18 内糜1号 红 内蒙古鄂尔多斯市农业科学研究所
Y19 内糜3号 黄 内蒙古鄂尔多斯市农业科学研究所
Y20 榆糜2号(1998,系选) 红 西北农林科技大学
Y21 榆糜3号(2002,系选G) 褐 西北农林科技大学
Y22 赤糜1号(2009,系选) 黄 内蒙古赤峰市农牧科学研究院
Y23 赤糜2号(2011) 黄 内蒙古赤峰市农牧科学研究院
Y24 固糜21号(2013,杂交) 复色 宁夏农业科学院固原分院
Y25 伊糜5号(1991,杂交) 黄 内蒙古鄂尔多斯市农业科学研究所
糯性Waxy Y26 伊选黄糜(2006,杂交G) 黄 内蒙古鄂尔多斯市农业科学研究所
Y27 内糜7号(2010,杂交G) 黄 内蒙古鄂尔多斯市农业科学研究所
Y28 内糜8号(2012,杂交G) 黄 内蒙古鄂尔多斯市农业科学研究所
Y29 赤黍1号(2009,系选) 红 内蒙古赤峰市农牧科学研究院
Y30 赤黍2号(2011,系选) 白 内蒙古赤峰市农牧科学研究院
Y31 晋黍7号(2005,杂交) 红 山西省农业科学院农作物品种资源研究所
Y32 齐黍1号(2011) 红 黑龙江农业科学院齐齐哈尔分院
Y33 宁糜12号(1998,系选) 红 宁夏农业科学院固原分院
Y34 宁糜15号(2006,杂交G) 红 宁夏农业科学院固原分院
Y35 榆黍1号(1994,系选) 红 西北农林科技大学
Y36 晋黍1号 复色 山西省农业科学院高寒区作物研究所
Y37 晋黍3号(1995,系选) 红 山西省农业科学院高寒区作物研究所
Y38 晋黍4号(1996,杂交) 白 山西省农业科学院高寒区作物研究所
Y39 晋黍5号(1998,杂交) 白 山西省农业科学院高寒区作物研究所
Y40 晋黍6号(2004,杂交) 红 山西省农业科学院高寒区作物研究所
Y41 晋黍8号(2010,杂交G) 白 山西省农业科学院高寒区作物研究所
Y42 晋黍9号(2009,杂交) 复色 山西省农业科学院高寒区作物研究所
Y43 雁黍7号(2005) 黄 山西省农业科学院高寒区作物研究所
Y44 雁黍8号(2006,杂交G) 红 山西省农业科学院高寒区作物研究所
Y45 雁黍11号(2012) 红 山西省农业科学院高寒区作物研究所

Table 2

Characters and yield of different broom millet varieties"

品种
Varieties		 生育日数X1
Growth stage
(d)		 株高X2
Plant height
(cm)		 茎基粗X3
Stem base
diameter (cm)		 穗长X4
Spike length
(cm)		 有效分蘖X5
Effective
tiller		 穗重X6
Panicle
weight (g)		 穗粒重X7
Panicle kernel
weight (g)		 千粒重X8
Thousand grain
weight (g)		 产量X0
Yield
(kg/hm2)
Y1 110 116.4 0.8 34.6 1.2 11.7 9.0 8.5 3 065.2
Y2 115 128.8 0.8 37.8 1.9 12.2 8.2 9.6 3 485.3
Y3 116 131.8 0.8 34.4 1.0 12.7 9.7 8.8 2 700.6
Y4 112 109.3 0.9 36.5 1.0 11.0 9.3 8.9 2 942.8
Y5 116 136.3 0.8 38.7 1.3 13.5 10.8 9.1 2 976.2
Y6 111 127.8 0.8 41.1 1.2 12.6 9.3 9.9 2 976.3
Y7 114 137.5 0.8 40.9 1.1 15.2 10.4 8.5 2 902.8
Y8 113 115.2 0.7 37.8 1.4 11.0 8.6 7.8 3 332.7
Y9 115 123.0 0.7 33.4 1.6 11.8 7.7 7.7 3 081.5
Y10 114 130.8 0.9 34.5 1.0 11.8 10.0 8.6 3 339.2
Y11 114 129.2 0.8 40.0 1.5 12.8 9.9 7.5 3 348.7
Y12 114 115.2 0.8 34.0 1.1 10.6 8.6 7.4 3 383.7
Y13 109 120.4 0.8 33.8 1.1 13.2 10.1 7.7 2 905.3
Y14 110 113.7 0.7 32.5 1.3 10.6 7.8 8.7 2 651.1
Y15 90 85.7 0.6 29.5 0.5 5.5 6.0 8.0 2 198.6
Y16 109 127.2 0.8 33.4 1.5 9.9 7.5 8.2 3 522.2
Y17 110 112.5 0.7 35.7 0.8 11.7 10.1 9.0 4 024.8
Y18 117 120.3 0.8 35.8 1.4 13.9 9.4 8.3 3 709.3
Y19 116 115.4 0.9 34.9 1.3 12.8 9.4 9.9 3 094.6
Y20 114 116.6 0.8 36.4 1.4 10.7 8.0 9.6 2 935.4
Y21 114 135.3 0.9 40.0 1.0 13.1 10.4 9.3 2 541.4
Y22 113 125.4 0.8 29.1 1.0 9.9 7.9 8.1 2 959.2
Y23 111 125.1 0.6 34.4 1.2 11.3 8.2 8.1 3 144.5
Y24 116 116.8 0.7 37.4 1.3 13.6 9.5 7.6 3 441.9
Y25 116 114.3 0.8 36.7 1.5 12.8 7.9 7.8 3 625.4
Y26 115 104.8 0.7 34.2 0.7 9.8 8.7 8.3 3 147.6
Y27 112 111.5 0.7 36.3 1.1 12.5 8.5 9.0 2 799.5
Y28 116 114.9 0.8 37.8 2.0 11.5 7.6 8.2 3 306.1
Y29 113 113.2 0.8 30.0 1.2 10.6 7.1 8.7 2 528.8
品种
Varieties		 生育日数X1
Growth stage
(d)		 株高X2
Plant height
(cm)		 茎基粗X3
Stem base
diameter (cm)		 穗长X4
Spike length
(cm)		 有效分蘖X5
Effective
tiller		 穗重X6
Panicle
weight (g)		 穗粒重X7
Panicle kernel
weight (g)		 千粒重X8
Thousand grain
weight (g)		 产量X0
Yield
(kg/hm2)
Y30 113 122.3 0.7 36.5 0.8 10.5 8.6 7.0 2 665.0
Y31 118 112.1 0.7 37.1 0.6 12.3 8.6 9.4 2 737.0
Y32 121 95.8 0.7 30.4 1.3 14.7 10.0 6.2 2 658.7
Y33 117 108.8 0.8 36.1 1.2 10.7 8.2 8.5 2 087.8
Y34 121 115.0 0.7 34.0 0.6 9.7 7.9 7.1 2 593.0
Y35 115 120.4 0.8 31.9 1.5 9.9 8.1 8.3 2 991.5
Y36 113 108.6 0.7 35.6 0.8 12.4 7.6 7.0 2 771.5
Y37 109 115.8 0.7 35.4 0.6 9.5 8.7 7.2 2 464.1
Y38 106 110.6 0.7 33.5 0.7 8.7 7.1 7.6 3 249.5
Y39 109 121.4 0.7 34.8 0.5 10.7 8.8 8.6 3 120.5
Y40 110 108.5 0.7 36.9 1.6 10.7 6.3 8.8 2 922.8
Y41 116 112.3 0.7 35.3 1.3 11.6 6.0 7.2 3 400.1
Y42 115 114.4 0.7 33.5 1.1 11.4 8.2 8.8 3 116.7
Y43 115 120.0 0.8 37.8 0.6 11.3 9.2 8.7 2 783.4
Y44 120 134.2 0.7 39.0 0.4 7.9 6.4 7.6 2 212.3
Y45 113 120.4 0.7 35.1 1.8 9.4 6.4 4.3 3 331.6

Table 3

Performance values of the main characters of broom millet varieties"

性状Characters 极小值
Minimum value		 极大值
Maximum value		 均值
Mean		 标准差
Standard deviation		 变异系数(%)
Coefficient of variation
生育期Growth stage (d) 90.0 121.0 113.2 4.8 4.2
株高Plant height (cm) 85.7 137.5 118.1 10.2 8.7
茎基粗Stem base diameter (cm) 0.6 0.9 0.7 0.1 9.8
穗长Spike length (cm) 29.1 41.1 35.4 2.8 7.9
有效分蘖Effective tiller (个) 0.4 2.0 1.1 0.4 34.6
穗重Panicle weight (g) 5.5 15.2 11.4 1.8 15.7
穗粒重Panicle kernel weight (g) 6.0 10.8 8.5 1.2 14.4
千粒重Thousand grain weight (g) 4.3 9.9 8.2 1.0 12.5

Table 4

Performance values of the main characters of broom millet varieties in different types"

性状
Characters		 粳性品种Japonica variety 糯性品种Waxy variety
极小值
Minimum value		 极大值
Maximum
value		 均值
Mean		 标准差
Standard deviation		 变异系数(%)
Coefficient of variation		 极小值
Minimum value		 极大值
Maximum
value		 均值
Mean		 标准差
Standard deviation		 变异系数(%)
Coefficient of variation
生育期Growth stage (d) 90.0 117.0 112.4 5.3 4.7 106.0 121.0 114.4 4.0 3.5
株高Plant height (cm) 85.7 137.5 121.2 11.0 9.0 95.8 134.2 114.2 7.9 6.9
茎基粗Stem base diameter (cm) 0.6 0.9 0.8 0.1 10.0 0.7 0.8 0.7 0.0 6.4
穗长Spike length (cm) 29.1 41.1 35.7 3.1 8.7 30.0 39.0 35.1 2.4 6.8
有效分蘖Effective tiller 0.5 1.9 1.2 0.3 23.1 0.4 2.0 1.0 0.5 47.0
穗重Panicle weight (g) 5.5 15.2 11.8 1.9 15.7 7.9 14.7 10.8 1.5 14.2
穗粒重Panicle kernel weight (g) 6.0 10.8 8.9 1.2 12.9 6.0 10.0 7.9 1.1 13.5
千粒重Thousand grain weight (g) 7.4 9.9 8.5 0.8 9.0 4.3 9.4 7.8 1.2 15.2

Table 5

Dimensionless results of data processing"

品种
Varieties		 生育日数X1
Growth stage
(d)		 株高X2
Plant height
(cm)		 茎基粗X3
Stem base
diameter (cm)		 穗长X4
Spike length
(cm)		 有效分蘖X5
Effective
tiller		 穗重X6
Panicle
weight (g)		 穗粒重X7
Panicle kernel
weight(g)		 千粒重X8
Thousand grain
weight(g)		 产量X0
Yield
(kg/hm2)
Y1 0.91 0.85 0.82 0.86 0.58 0.77 0.87 0.86 0.76
Y2 0.95 0.94 0.81 0.94 0.93 0.80 0.78 0.97 0.87
Y3 0.96 0.96 0.89 0.86 0.51 0.83 0.93 0.89 0.67
Y4 0.93 0.79 0.92 0.91 0.51 0.72 0.89 0.90 0.73
Y5 0.96 0.99 0.88 0.97 0.66 0.88 1.04 0.92 0.74
Y6 0.92 0.93 0.87 1.03 0.61 0.83 0.90 1.01 0.74
Y7 0.94 1.00 0.81 1.02 0.53 1.00 1.00 0.86 0.72
Y8 0.93 0.84 0.76 0.94 0.69 0.72 0.82 0.80 0.83
Y9 0.95 0.89 0.78 0.84 0.78 0.78 0.73 0.78 0.77
Y10 0.94 0.95 0.91 0.86 0.48 0.78 0.96 0.87 0.83
Y11 0.94 0.94 0.85 1.00 0.73 0.84 0.95 0.76 0.83
Y12 0.94 0.84 0.90 0.85 0.53 0.70 0.82 0.75 0.84
Y13 0.90 0.88 0.88 0.85 0.56 0.87 0.97 0.78 0.72
Y14 0.91 0.83 0.75 0.81 0.63 0.69 0.75 0.88 0.66
Y15 0.74 0.62 0.64 0.74 0.25 0.36 0.58 0.81 0.55
Y16 0.90 0.93 0.85 0.83 0.76 0.65 0.72 0.83 0.88
Y17 0.91 0.82 0.76 0.89 0.40 0.77 0.97 0.91 1.00
Y18 0.97 0.87 0.89 0.90 0.71 0.91 0.90 0.84 0.92
Y19 0.96 0.84 1.00 0.87 0.66 0.84 0.90 1.00 0.77
Y20 0.94 0.85 0.88 0.91 0.71 0.71 0.77 0.98 0.73
Y21 0.94 0.98 0.97 1.00 0.51 0.86 1.00 0.95 0.63
Y22 0.93 0.91 0.81 0.73 0.51 0.65 0.76 0.82 0.74
Y23 0.92 0.91 0.68 0.86 0.58 0.74 0.79 0.82 0.78
Y24 0.96 0.85 0.79 0.94 0.66 0.89 0.91 0.77 0.86
Y25 0.96 0.83 0.87 0.92 0.76 0.84 0.76 0.79 0.90
Y26 0.95 0.76 0.72 0.85 0.35 0.65 0.83 0.84 0.78
Y27 0.93 0.81 0.76 0.91 0.56 0.82 0.81 0.91 0.70
Y28 0.96 0.84 0.87 0.95 1.00 0.75 0.73 0.83 0.82
Y29 0.93 0.82 0.83 0.75 0.61 0.70 0.68 0.88 0.63
Y30 0.93 0.89 0.78 0.91 0.38 0.69 0.82 0.71 0.66
Y31 0.98 0.81 0.78 0.93 0.30 0.81 0.82 0.95 0.68
Y32 1.00 0.70 0.72 0.76 0.66 0.97 0.95 0.63 0.66
Y33 0.97 0.79 0.81 0.90 0.61 0.70 0.78 0.87 0.52
Y34 1.00 0.84 0.74 0.85 0.30 0.64 0.76 0.72 0.64
Y35 0.95 0.88 0.85 0.80 0.73 0.65 0.77 0.84 0.74
Y36 0.93 0.79 0.73 0.89 0.40 0.82 0.73 0.71 0.69
Y37 0.90 0.84 0.72 0.89 0.28 0.62 0.83 0.73 0.61
Y38 0.88 0.80 0.69 0.84 0.33 0.57 0.68 0.77 0.81
Y39 0.90 0.88 0.74 0.87 0.23 0.70 0.85 0.87 0.78
Y40 0.91 0.79 0.77 0.92 0.78 0.70 0.60 0.89 0.73
Y41 0.96 0.82 0.70 0.88 0.66 0.76 0.57 0.73 0.84
Y42 0.95 0.83 0.77 0.84 0.53 0.75 0.79 0.90 0.77
Y43 0.95 0.87 0.81 0.94 0.28 0.74 0.89 0.88 0.69
Y44 0.99 0.98 0.75 0.98 0.18 0.52 0.62 0.77 0.55
Y45 0.93 0.88 0.76 0.88 0.92 0.62 0.61 0.44 0.83

Table 6

Correlation coefficient matrix of characters and yield of broom millet varieties"

品种
Varieties		 生育日数X1
Growth stage
(d)		 株高X2
Plant height
(cm)		 茎基粗X3
Stem base
diameter (cm)		 穗长X4
Spike length
(cm)		 有效分蘖X5
Effective
tiller		 穗重X6
Panicle weight
(g)		 穗粒重X7
Panicle kernel
weight (g)		 千粒重X8
Thousand grain
weight (g)
Y1 0.6749 0.7851 0.8538 0.7501 0.6280 0.9946 0.7489 0.7507
Y2 0.7861 0.8161 0.8466 0.8001 0.8206 0.8285 0.7891 0.7477
Y3 0.5134 0.5135 0.5858 0.6174 0.6480 0.6515 0.5388 0.5816
Y4 0.6105 0.8320 0.6165 0.6289 0.5737 0.9878 0.6532 0.6453
Y5 0.5813 0.5468 0.6812 0.5729 0.7894 0.6798 0.5056 0.6278
Y6 0.6318 0.6162 0.7039 0.5142 0.6969 0.7785 0.6616 0.5335
Y7 0.5794 0.5213 0.7806 0.5012 0.6149 0.5216 0.5230 0.6899
Y8 0.7445 0.9769 0.8111 0.7257 0.6966 0.7425 0.9919 0.9086
Y9 0.6228 0.7043 0.9527 0.8170 0.9539 0.9771 0.9148 0.9738
Y10 0.7324 0.7171 0.7847 0.9105 0.4641 0.8581 0.7012 0.8908
Y11 0.7367 0.7413 0.9410 0.6461 0.7560 0.9738 0.7269 0.8196
Y12 0.7527 1.0000 0.8375 0.9784 0.4942 0.6807 0.9494 0.7685
Y13 0.6303 0.6660 0.6604 0.7139 0.6476 0.6786 0.5546 0.8325
Y14 0.5483 0.6454 0.7717 0.6664 0.9240 0.9001 0.7710 0.5769
Y15 0.6067 0.8014 0.7754 0.6146 0.5081 0.6207 0.9086 0.5393
Y16 0.9288 0.8640 0.9222 0.8876 0.7235 0.5750 0.6568 0.8871
Y17 0.7731 0.6266 0.5631 0.7426 0.3363 0.5699 0.9053 0.7764
Y18 0.8757 0.8723 0.9173 0.9280 0.5866 0.9709 0.9494 0.7936
Y19 0.6164 0.8170 0.5675 0.7486 0.7328 0.8110 0.7022 0.5682
Y20 0.5886 0.7222 0.6707 0.6289 0.9388 0.9334 0.8917 0.5503
Y21 0.4939 0.4624 0.4740 0.4510 0.7085 0.5735 0.4509 0.4910
Y22 0.6054 0.6333 0.8106 0.9794 0.5692 0.7846 0.9348 0.7824
Y23 0.6926 0.7049 0.7510 0.8008 0.6032 0.8953 0.9799 0.8863
Y24 0.7488 0.9900 0.8376 0.7958 0.6054 0.8939 0.8423 0.7750
Y25 0.8448 0.8181 0.9065 0.9553 0.6815 0.8411 0.6886 0.7311
Y26 0.6447 0.9448 0.8257 0.8133 0.4138 0.6927 0.8676 0.8416
Y27 0.5694 0.7280 0.8276 0.5889 0.6864 0.7147 0.7240 0.5847
Y28 0.6908 0.9625 0.8651 0.7132 0.6342 0.8234 0.7724 0.9676
Y29 0.4981 0.6099 0.6063 0.7174 0.9389 0.8216 0.8557 0.5476
Y30 0.5277 0.5723 0.7252 0.5489 0.5172 0.9228 0.6583 0.8695
Y31 0.5069 0.6946 0.7575 0.5506 0.4454 0.7021 0.6818 0.5295
Y32 0.4717 0.8998 0.8504 0.7554 0.9955 0.4968 0.5077 0.9062
Y33 0.4029 0.5273 0.5062 0.4406 0.7803 0.6232 0.5357 0.4660
Y34 0.4599 0.6139 0.7733 0.5961 0.4703 0.9939 0.7268 0.8109
Y35 0.5952 0.6986 0.7434 0.8536 0.9733 0.7686 0.9137 0.7544
Y36 0.5534 0.7531 0.8795 0.6036 0.5161 0.7066 0.8806 0.9445
Y37 0.5125 0.5695 0.7343 0.5267 0.4754 0.9754 0.5795 0.7219
品种
Varieties		 生育日数X1
Growth stage
(d)		 株高X2
Plant height
(cm)		 茎基粗X3
Stem base
diameter (cm)		 穗长X4
Spike length
(cm)		 有效分蘖X5
Effective
tiller		 穗重X6
Panicle weight
(g)		 穗粒重X7
Panicle kernel
weight (g)		 千粒重X8
Thousand grain
weight (g)
Y38 0.8200 0.9989 0.7320 0.9146 0.3869 0.5657 0.7127 0.9000
Y39 0.7099 0.7413 0.9027 0.7656 0.3554 0.8100 0.8099 0.7565
Y40 0.6252 0.8331 0.8877 0.6075 0.8478 0.9345 0.7085 0.6468
Y41 0.7299 0.9222 0.6817 0.8989 0.6184 0.7815 0.5294 0.7208
Y42 0.6342 0.8463 0.9835 0.8311 0.5547 0.9200 0.9639 0.7181
Y43 0.5399 0.6275 0.7286 0.5465 0.4224 0.8674 0.6103 0.6164
Y44 0.4063 0.4153 0.5996 0.4153 0.4481 0.9148 0.8259 0.5849
Y45 0.7440 0.8693 0.8113 0.8657 0.7771 0.5886 0.5850 0.4359
关联度
Correlation		 0.6347 0.7383 0.7655 0.7095 0.6435 0.7855 0.7420 0.7212

Table 7

Correlation of traits and yield of broom millet varieties in different types"

品种类型
Types of varieties		 生育日数X1
Growth stage
(d)		 株高X2
Plant height
(cm)		 茎基粗X3
Stem base
diameter (cm)		 穗长X4
Spike length
(cm)		 有效分蘖X5
Effective
tiller		 穗重X6
Panicle weight
(g)		 穗粒重X7
Panicle kernel
weight(g)		 千粒重X8
Thousand grain
weight(g)
粳性Japonica 0.6768 0.7358 0.7609 0.7350 0.6681 0.7889 0.7576 0.7251
糯性Waxy 0.5821 0.7414 0.7711 0.6777 0.6129 0.7812 0.7225 0.7162
所有品种All varieties 0.6347 0.7383 0.7655 0.7095 0.6435 0.7855 0.7420 0.7212
[1] 柴岩, 王玉玺, 王智才 .糜子 .北京: 中国农业科学技术出版社, 1999.
[2] 柴岩.糜子.北京:中国农业出版社, 1992.
[3] 崔克勇, 王闰平 . 山西省小杂粮产业发展对策探讨. 中国农学通报, 2005,21(1):332-334.
[4] 邓聚龙 . 灰色系统综述.世界科学, 1983(7):1-5.
[5] 朱雪志 . 稻田春播杂交玉米农艺性状与产量的灰色关联度分析. 湖北农业科学, 2009,48(5):1078-1080.
doi: 10.3969/j.issn.0439-8114.2009.05.018
[6] 江银荣, 潘宝国, 陆虎华 . 江苏省水稻产量与产量性状的灰色关联分析.浙江农业科学, 2009(6):1130-1132.
doi: 10.3969/j.issn.0528-9017.2009.06.032
[7] 周凤云, 余国东, 李伯群 , 等. 杂交小麦产量和产量的灰色关联度分析. 南方农业, 2007,1(3):27-29.
doi: 10.3969/j.issn.1673-890X.2007.03.010
[8] 胡铁欢 . 不同农艺性状对玉米产量影响的灰色关联度分析. 河北农业科学, 2009,13(6):20-21,45.
[9] 胡铁欢, 卢思慧, 曹金峰 . 河北省夏大豆育成品种产量与农艺性状的相关性分析. 河北农业科学, 2009,13(5):1-12,39.
doi: 10.3969/j.issn.1088-1631.2009.05.005
[10] 郝瑞莲 . 夏大豆主要农艺性状的灰色关联度分析.大豆通报, 2002(2):11-12.
[11] 蒲晓斌, 蒋梁材, 王瑞 , 等. 灰色关联度分析在油菜种质资源研究中的应用.西南农业大学学报, 2000(6):203-207.
[12] 韩路, 贾志宽, 韩清芳 , 等. 苜蓿种质资源特性的灰色关联度分析与评价.西北农林科技大学学报(自然科学版), 2003(6):59-64.
[13] 闫锋, 崔秀辉, 李清泉 , 等. 糜子主要农艺性状的灰色关联度分析.黑龙江农业科学, 2010(5):37-39.
doi: 10.3969/j.issn.1002-2767.2010.05.015
[14] 张立媛, 杨恒山, 王显瑞 , 等. 10个糜子品种产量与农艺性状的灰色关联度分析.种子, 2014(4):68-69.
doi: 10.3969/j.issn.1001-4705.2014.11.018
[1] Zhao Xin, Chen Shaofeng, Wang Hui, . Research on the Yield and Quality of Different Tartaty#br# Buckwheat Varieties in Northern Shanxi Area [J]. Crops, 2018, 34(5): 27-32.
[2] Zhang Yizhong, Zhou Fuping, Zhang Xiaojuan, . Identification and Cluster Analysis of Photosynthetic#br# Characters and WUE in Sorghum Germplasm [J]. Crops, 2018, 34(5): 45-53.
[3] Zhang Xiangyu, Li Hai, Liang Haiyan, . Effects of Different Row Spacing and Planting Density#br# on the Growth Characteristics and Yield of Millet [J]. Crops, 2018, 34(5): 91-96.
[4] Wu Ronghua, Zhuang Kezhang, Liu Peng, Zhang Chunyan. Response of Summer Maize Yield to#br# Meteorological Factors in Lunan Region [J]. Crops, 2018, 34(5): 104-109.
[5] Su Feifei, Zhang Jinghua, Li Yong, Liu Shangwu, Liu Zhenyu, Wang Shaopeng, Wan Shuming, Chen Xi, Gao Yunfei, Hu Linshuang, Lü Dianqiu. Effects of Different Irrigation Methods on#br# Physiological Characteristics and Water#br# Use Efficiency of Potato [J]. Crops, 2018, 34(5): 97-103.
[6] Zhang Ruidong, Cao Xiong, Yue Zhongxiao, . Effects of Nitrogen and Density Interaction on Grain#br# Yield and Nitrogen Use Efficiency of Sorghum [J]. Crops, 2018, 34(5): 110-115.
[7] An Xia, Zhang Haijun, Jiang Fangshan, Lü Lianjie, Chen Jun. Effects of Different Sowing Dates and Sowing#br# Densities on the Population Structure and#br# Yield of Two Spike Type Winter Wheats [J]. Crops, 2018, 34(5): 132-136.
[8] Gao Wenjun, Yang Guoyi, Gao Xinzhong, Yu Zhu, . The Effects of Nitrogen, Phosphorus, or Potassium#br# Fertilizer on the Yield and Silage Quality of Maize [J]. Crops, 2018, 34(5): 144-149.
[9] Wang Xiaolin, Ji Xiaoling, Zhang Panpan, Zhang Xiong, Zhang Jing. Correlation Analysis between Aboveground Biomass#br# Allocation and Grain Yield in Different Varieties of#br# Foxtail Millet in the Dry Land of Loess Plateau [J]. Crops, 2018, 34(5): 150-155.
[10] Mei Lu,Min Sun,Aixia Ren,Miaomiao Lei,Lingzhu Xue,Zhiqiang Gao. Effects of Spraying Foliar Fertilizers on Dryland Wheat Growth and the Correlation with Yield Formation [J]. Crops, 2018, 34(4): 121-125.
[11] Xiaofei Wang,Haijun Xu,Mengqiao Guo,Yu Xiao,Xinyu Cheng,Shuxia Liu,Xiangjun Guan,Yaokun Wu,Weihua Zhao,Guojiang Wei. Effects of Sowing Date, Density and Fertilizer Utilization Rate on the Yield of Oilseed Perilla frutescens in Cold Area [J]. Crops, 2018, 34(4): 126-130.
[12] Jie Gao,Qingfeng Li,Qiu Peng,Xiaoyan Jiao,Jinsong Wang. Effects of Different Nutrient Combinations on Plant Production and Nitrogen, Phosphorus and Potassium Utilization Characteristics in Waxy Sorghum [J]. Crops, 2018, 34(4): 138-142.
[13] Na Shang,Zhongxu Yang,Qiuzhi Li,Huihui Yin,Shihong Wang,Haitao Li,Tong Li,Han Zhang. Response of Cotton with Vegetative Branches to Plant Density in the Western of Shandong Province [J]. Crops, 2018, 34(4): 143-148.
[14] Huiqin Wen,Tianling Cheng,Ziyou Pei,Xue Li,Lisheng Zhang,Mei Zhu. Analysis of Comprehensive Characteristics of Wheat Varieties Registered in Shanxi Province in Recent Years [J]. Crops, 2018, 34(4): 32-36.
[15] Menghan Wei, Huifang Xie, Lu Xing, Hui Song, Shujun Wang, Suying Wang, Haiping Liu, Nan Fu, Jinrong Liu. Comprehensive Evaluation of Yield and Agronomic Characters of Foxtail Millet Germplasms from North China [J]. Crops, 2018, 34(4): 42-47.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] Guangcai Zhao,Xuhong Chang,Demei Wang,Zhiqiang Tao,Yanjie Wang,Yushuang Yang,Yingjie Zhu. General Situation and Development of Wheat Production[J]. Crops, 2018, 34(4): 1 -7 .
[2] Baoquan Quan,Dongmei Bai,Yuexia Tian,Yunyun Xue. Effects of Different Leaf-Peg Ratio on Photosynthesis and Yield of Peanut[J]. Crops, 2018, 34(4): 102 -105 .
[3] Xuefang Huang,Mingjing Huang,Huatao Liu,Cong Zhao,Juanling Wang. Effects of Annual Precipitation and Population Density on Tiller-Earing and Yield of Zhangzagu 5 under Film Mulching and Hole Sowing[J]. Crops, 2018, 34(4): 106 -113 .
[4] Wenhui Huang, Hui Wang, Desheng Mei. Research Progress on Lodging Resistance of Crops[J]. Crops, 2018, 34(4): 13 -19 .
[5] Yun Zhao,Cailong Xu,Xu Yang,Suzhen Li,Jing Zhou,Jicun Li,Tianfu Han,Cunxiang Wu. Effects of Sowing Methods on Seedling Stand and Production Profit of Summer Soybean under Wheat-Soybean System[J]. Crops, 2018, 34(4): 114 -120 .
[6] Mei Lu,Min Sun,Aixia Ren,Miaomiao Lei,Lingzhu Xue,Zhiqiang Gao. Effects of Spraying Foliar Fertilizers on Dryland Wheat Growth and the Correlation with Yield Formation[J]. Crops, 2018, 34(4): 121 -125 .
[7] Xiaofei Wang,Haijun Xu,Mengqiao Guo,Yu Xiao,Xinyu Cheng,Shuxia Liu,Xiangjun Guan,Yaokun Wu,Weihua Zhao,Guojiang Wei. Effects of Sowing Date, Density and Fertilizer Utilization Rate on the Yield of Oilseed Perilla frutescens in Cold Area[J]. Crops, 2018, 34(4): 126 -130 .
[8] Pengjin Zhu,Xinhua Pang,Chun Liang,Qinliang Tan,Lin Yan,Quanguang Zhou,Kewei Ou. Effects of Cold Stress on Reactive Oxygen Metabolism and Antioxidant Enzyme Activities of Sugarcane Seedlings[J]. Crops, 2018, 34(4): 131 -137 .
[9] Jie Gao,Qingfeng Li,Qiu Peng,Xiaoyan Jiao,Jinsong Wang. Effects of Different Nutrient Combinations on Plant Production and Nitrogen, Phosphorus and Potassium Utilization Characteristics in Waxy Sorghum[J]. Crops, 2018, 34(4): 138 -142 .
[10] Na Shang,Zhongxu Yang,Qiuzhi Li,Huihui Yin,Shihong Wang,Haitao Li,Tong Li,Han Zhang. Response of Cotton with Vegetative Branches to Plant Density in the Western of Shandong Province[J]. Crops, 2018, 34(4): 143 -148 .