Crops ›› 2018, Vol. 34 ›› Issue (4): 42-47.doi: 10.16035/j.issn.1001-7283.2018.04.008

Previous Articles     Next Articles

Comprehensive Evaluation of Yield and Agronomic Characters of Foxtail Millet Germplasms from North China

Wei Menghan,Xie Huifang,Xing Lu,Song Hui,Wang Shujun,Wang Suying,Liu Haiping,Fu Nan,Liu Jinrong   

  1. Henan Valley Breeding Engineering Research Center/Anyang Academy of Agricultural Sciences, Anyang 455000, Henan, China
  • Received:2018-01-31 Revised:2018-04-02 Online:2018-08-15 Published:2018-08-23

RichHTML

8

PDF (PC)

206

Abstract:

The correlation and grey relational grade analysis were used to explore the influence factors of main agronomic traits on the yield of foxtail millet germplasms from north China. Our goal was to provide important information on germplasm evaluation and innovation to select the high yielding garlic varieties and lay the foundation to use the excellent millet germplasm resources and therefore to obtain the new varieties of good quality and high yield. This study selected eight agronomic characters of the seventeen foxtail millet varieties (lines), which sourced from the regular group of the national regional test of Northeast China in 2016. The correlation grey relational analysis method was used to achieve a comprehensive description and objective evaluations. The results showed that variation among nine main agronomic traits of foxtail millet varieties was ranging from 2.69% to 11.71%. Correlation analysis results showed that panicle kernel weight, panicle weight, percentage of grain weight per spike were positively correlated with yield traits significantly. Grey correlation analysis results showed that the agronomic traits of high grey relation decreased with yield which followed the order: panicle diameter>panicle weight>panicle kernel weight>thousand grain weight>plant height>percentage of grain weight per spike>spike length>growth stage. The panicle diameter, panicle weight and panicle kernel weight had the largest influence on the plant yield. Therefore, one should pay attention to the large panicle size, the panicle kernel weight and grain size when choosing the breeding material. In order to make full use of germplasm resources for the breeding of high-yield and high-quality millet varieties.

Key words: Foxtail millet, Grey relational grade analysis, Variety breeding, Agronomic characters, Yield

Table 1

Characters and yield of different foxtail millet varieties (lines)"

品种(系)
Variety (Line)		 生育期(d)
Growth
period
X1		 株高(cm)
Plant
height
X2		 穗长(cm)
Spike
length
X3		 穗粗(cm)
Panicle diameter
X4		 单穗重(g)
Panicle weight
X5		 穗粒重(g)
Kernel weight per panicle
X6		 出谷率(%)
Percentage of grain weight per spike
X7		 千粒重(g)
1000-grain weight
X8		 产量
(kg/hm2)
Yield
X0
保621 Bao 621 89 121.90 17.00 2.10 13.20 11.07 83.82 2.75 6 685.5
郑谷607 Zhenggu 607 87 127.47 21.40 2.52 10.02 8.68 86.57 3.23 4 593.0
冀谷40 Jigu 40 84 123.43 19.00 2.12 13.44 11.66 86.78 3.15 6 648.0
冀谷41 Jigu 41 82 109.53 16.70 2.25 12.63 11.08 87.70 3.16 6 648.0
冀谷42 Jigu 42 84 119.33 15.73 2.12 10.68 8.72 81.70 3.00 5 155.5
邯谷2号 Hangu 2 82 114.63 16.53 2.05 11.69 10.29 88.04 2.85 6 090.0
沧14-365 Cang 14-365 86 106.97 20.47 2.10 12.00 9.76 81.32 2.96 6 117.0
沧15-298 Cang 15-298 89 121.50 19.33 2.37 11.69 10.06 86.03 3.11 6 052.5
中谷6 Zhonggu 6 85 114.67 19.33 2.17 12.33 10.18 82.56 3.06 5 667.0
济谷20 Jigu 20 86 126.60 19.37 2.00 13.12 11.54 87.92 2.64 6 697.5
济谷21 Jigu 21 89 132.77 20.40 2.00 13.39 11.32 84.51 2.94 6 370.5
泰谷002 Taigu 002 89 117.97 19.67 2.12 11.31 9.20 81.38 3.10 4 152.0
豫谷31 Yugu 31 82 113.87 17.43 2.03 12.09 10.36 85.69 3.06 6 093.0
安13-5079 An 13-5097 84 125.50 16.60 2.13 11.70 10.26 87.64 3.21 5 974.5
衡2011123 Heng 2011123 87 134.90 19.80 2.08 12.36 10.74 86.88 2.98 6 310.5
衡2011122 Heng 2011122 85 136.80 19.17 2.12 12.20 10.57 86.65 3.01 6 070.5
豫谷18 Yugu 18 82 110.03 16.97 2.03 12.78 11.03 86.27 2.78 6 202.5
平均值 Mean value 85.41 121.05 18.52 2.14 12.15 10.38 85.38 3.00 5 972.21
标准差SD 2.55 8.66 1.64 0.13 0.91 0.87 2.30 0.16 699.39
变异系数CV (%) 2.98 7.15 8.87 6.12 7.47 8.42 2.69 5.38 11.71

Table 2

The correlation coefficient between the main agronomic characters for foxtail millet varieties (lines)"

生育期Growth
period		 株高
Plant
height		 穗长
Spike
length		 穗粗
Panicle
diameter		 单穗重
Panicle
weight		 穗粒重
Kernel weight
per panicle		 出谷率
Percentage of grain
weight per spike		 千粒重
1000-grain
weight		 产量
Yield
生育期Growth period 1
株高Plant height 0.4674 1
穗长Spike length 0.6181 0.3810 1
穗粗Panicle diameter 0.2228 0.0330 0.3090 1
单穗重Panicle weight -0.0059 0.0650 -0.0412 -0.6014 1
穗粒重Kernel weight per panicle -0.1285 0.1512 -0.0900 -0.5145 0.9520 1
出谷率Percentage of grain weight per spike -0.3801 0.3036 -0.1533 0.0744 0.2083 0.4973 1
千粒重1000-grain weight -0.0409 0.0324 0.1620 0.6345 -0.4796 -0.4311 -0.0113 -1
产量Yield -0.2320 0.0321 -0.2324 -0.4278 0.8205 0.8765 0.4781 -0.4349 1

Table 3

Dimensionless results of data processing"

品种(系)
Variety (Line)		 生育期
Growth
period
X1		 株高
Plant
height
X2		 穗长
Spike
length
X3		 穗粗
Panicle
diameter
X4		 单穗重
Panicle
weight
X5		 穗粒重
Kernel weight
per panicle
X6		 出谷率
Percentage of grain
weight per spike
X7		 千粒重
1000-grain
weight
X8		 产量
Yield
X0
保621 Bao 621 1.41 0.10 -0.93 -0.27 1.15 0.78 -0.68 -1.54 1.02
郑谷607 Zhenggu 607 0.62 0.74 1.75 2.94 -2.35 -1.95 0.52 1.43 -1.97
冀谷40 Jigu 40 -0.55 0.27 0.29 -0.12 1.42 1.46 0.61 0.93 0.97
冀谷41 Jigu 41 -1.34 -1.33 -1.11 0.87 0.52 0.80 1.01 0.99 0.97
冀谷42 Jigu 42 -0.55 -0.20 -1.70 -0.12 -1.62 -1.90 -1.60 0.00 -1.17
邯谷2号 Hangu 2 -1.34 -0.74 -1.21 -0.66 -0.51 -0.11 1.16 -0.93 0.17
沧14-365 Cang 14-365 0.23 -1.63 1.18 -0.27 -0.17 -0.71 -1.77 -0.24 0.21
沧15-298 Cang 15-298 1.41 0.05 0.49 1.79 -0.51 -0.37 0.28 0.68 0.11
中谷6 Zhonggu 6 -0.16 -0.74 0.49 0.26 0.19 -0.23 -1.23 0.38 -0.44
济谷20 Jigu 20 0.23 0.64 0.52 -1.04 1.06 1.32 1.11 -2.23 1.04
济谷21 Jigu 21 1.41 1.35 1.14 -1.04 1.36 1.07 -0.38 -0.37 0.57
泰谷002 Taigu 002 1.41 -0.36 0.70 -0.12 -0.93 -1.35 -1.74 0.62 -2.60
豫谷31 Yugu 31 -1.34 -0.83 -0.67 -0.81 -0.07 -0.03 0.13 0.38 0.17
安13-5079 An 13-5097 -0.55 0.51 -1.17 -0.05 -0.50 -0.14 0.98 1.30 0.00
衡2011123 Heng 2011123 0.62 1.60 0.78 -0.43 0.23 0.41 0.65 -0.12 0.48
衡2011122 Heng 2011122 -0.16 1.82 0.39 -0.12 0.05 0.21 0.55 0.07 0.14
豫谷18 Yugu 18 -1.34 -1.27 -0.95 -0.81 0.69 0.74 0.39 -1.36 0.33

Table 4

Correlation coefficient matrix of characters and yield of broom millet varieties (lines)"

品种(系)
Variety (Line)		 生育期
Growth
period
X1		 株高
Plant
height
X2		 穗长
Spike
length
X3		 穗粗
Panicle
diameter
X4		 单穗重
Panicle
weight
X5		 穗粒重
Kernel weight
per panicle
X6		 出谷率
Percentage of grain weight per spike
X7		 千粒重
1000-grain
weight
X8
保621 Bao 621 0.8388 0.9551 0.6852 0.8812 0.6365 0.7201 0.7485 0.5660
郑谷607 Zhenggu 607 0.4367 0.7315 0.5351 0.4063 0.4612 0.5084 0.7962 0.5852
冀谷40 Jigu 40 0.5698 0.8811 0.8753 0.9446 0.5873 0.5800 0.7684 0.6839
冀谷41 Jigu 41 0.4660 0.6023 0.6451 0.6979 0.7945 0.7172 0.6664 0.6697
冀谷42 Jigu 42 0.7673 0.9115 0.5423 0.9446 0.5535 0.5143 0.5571 1.0000
邯谷2号 Hangu 2 0.5718 0.7314 0.6243 0.7545 0.7981 0.9511 0.6352 0.6856
沧14-365 Cang 14-365 0.9899 0.5532 0.6300 0.8812 0.9234 0.7392 0.5326 0.8931
沧15-298 Cang 15-298 0.6088 0.9766 0.8049 0.5291 0.7981 0.8459 0.8780 0.7468
中谷6 Zhonggu 6 0.8812 0.7326 0.8049 0.8864 0.9138 0.8977 0.6215 0.8439
济谷20 Jigu 20 0.7147 0.7592 0.7972 0.6597 0.6547 0.6039 0.6459 0.4749
济谷21 Jigu 21 0.7061 0.5982 0.6385 0.6597 0.5969 0.6532 0.8427 0.8465
泰谷002 Taigu 002 0.3339 0.8509 0.7434 0.9446 0.6844 0.5983 0.5364 0.7644
豫谷31 Yugu 31 0.5711 0.7088 0.7523 0.7135 0.9674 0.9886 0.9387 0.8439
安13-5079 An 13-5097 0.7838 0.7975 0.6327 0.9798 0.8016 0.9359 0.6722 0.6071
衡2011123 Heng 2011123 0.9363 0.5574 0.7222 0.8257 0.9003 0.8327 0.7558 0.9452
衡2011122 Heng 2011122 0.8706 0.5254 0.8376 0.9446 0.9775 0.9056 0.7854 0.9701
豫谷18 Yugu 18 0.5467 0.6129 0.6810 0.7135 0.7457 0.7321 0.8397 0.5972

Table 5

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

品种(系)
Variety
(Line)		 生育期
Growth period
X1		 株高
Plant height
X2		 穗长
Spike length
X3		 穗粗
Panicle diameter
X4		 单穗重
Panicle weight
X5		 穗粒重
Kernel weight
per panicle
X6		 出谷率
Percentage of grain
weight per spike
X7		 千粒重
1000-grain
weight
X8
ri 0.6820 0.7344 0.7031 0.7863 0.7527 0.7485 0.7189 0.7484
位序Rank 8 5 7 1 2 3 6 4
[1] 齐玉志, 王兴国 . 谷子—旱地农业的绿洲人体保健的佳品. 现代农村科技, 1994(12):5.
[2] 刘旭, 黎裕, 曹永生 , 等. 中国禾谷类作物种质资源地理分布及其富集中心研究. 植物遗传资源学报, 2009,10(1):1-8.
[3] Yu L, Cao Y S, Zhang X Z . A phenotypic diversity analysis of foxtail millet (Setaria italica (L.) P. Beauv.) landraces of Chinese origin. Genetic Resources & Crop Evolution, 1996,43(4):377-384.
[4] Doust A N, Bennetzen J L . Foxtail millet:A sequence driven grass model system. Plant Physiology, 2009,149(1):137-141.
[5] 唐启义 . 实用统计分析及其DPS数据处理系统. 北京: 科学出版社, 2002.
[6] 王秀萍, 张国新, 鲁雪林 , 等. 灰色关联度分析法综合评价水稻新品系. 中国农学通报, 2006,22(8):557-559.
doi: 10.3969/j.issn.1000-6850.2006.08.136
[7] 卓德众, 刘启华, 郭红甫 . 灰色关联度分析法在玉米育种中的应用. 玉米科学, 1996,4(3):31-34.
[8] 胡凤灵 . 灰色关联度分析法在小麦产量相关因素分析中的应用. 安徽农学通报, 2008,14(11):116.
doi: 10.3969/j.issn.1000-6400.2010.05.027
[9] 张富厚, 郑跃进, 王黎明 . 河南省夏大豆主要农艺性状的灰色关联度分析. 安徽农业科学, 2006,34(19):4842-4843.
[10] 邓聚龙 . 农业系统灰色理论与方法. 济南: 山东科学技术出版社, 1988.
[11] 李晓宇, 王昆鹏, 刘迎春 , 等. 谷子主要农艺性状分析. 内蒙古农业大学学报(自然科学版), 2015(2):26-30.
[12] 吕建珍, 马建萍, 独俊娥 , 等. 春播谷子品种(系)生态适应性鉴定及主成分分析. 作物杂志, 2015(6):44-47.
doi: 10.16035/j.issn.1001-7283.2015.06.008
[13] 赵禹凯, 王显瑞, 陈高勋 , 等. 谷子主要农艺性状的相关和通径分析. 内蒙古农业大学学报(自然科学版), 2014(2):35-38.
[14] 栾素荣, 王占廷, 李青松 . 谷子产量与主要农艺性状的灰色关联度分析. 河北农业科学, 2010,14(11):115-116.
doi: 10.3969/j.issn.1088-1631.2010.11.037
[15] 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, 2014,33(11):68-69.
[16] 刘金兰, 李艳军, 段选林 , 等. 春播谷子产量及其相关数量性状关系的分析. 农业开发与装备, 2017(11):99-101.
[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] 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.
[3] 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.
[4] 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.
[5] 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.
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[12] 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.
[13] Xingchuan Zhang, Wenxuan Huang, Kuanyu Zhu, Zhiqin Wang, Jianchang Yang. Effects of Nitrogen Rates on the Nitrogen Use Efficiency and Agronomic Traits of Different Rice Cultivars [J]. Crops, 2018, 34(4): 69-78.
[14] Fei Yang,Wenli Ma,Yongwei Chen,Zhansheng Zhang,Hao Wang. The Effects of Uniform Sowing and Drip Irrigation on the Spike Differentiation and Yield of Spring Wheat [J]. Crops, 2018, 34(4): 84-88.
[15] Yajun Liu,Qiguo Hu,Fengli Chu,Wenjing Wang,Aimei Yang. Effects of Different Cultivation Methods and Planting Densities on the Yield and Storage Root Tuberization of Sweet Potato cv. "Shangshu 9" [J]. Crops, 2018, 34(4): 89-94.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] . Renovation of Main Cultivated Rice Varieties in China in the Past 30 Years[J]. Crops, 0, (): 1 -5 .
[2] . Registration of Main Rice Varieties and Its Application in Recent 30 Years in China[J]. Crops, 0, (): 1 -6 .
[3] 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 .
[4] 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 .
[5] 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 .
[6] Wenhui Huang, Hui Wang, Desheng Mei. Research Progress on Lodging Resistance of Crops[J]. Crops, 2018, 34(4): 13 -19 .
[7] 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 .
[8] 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 .
[9] 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 .
[10] 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 .