Crops ›› 2018, Vol. 34 ›› Issue (1): 77-82.doi: 10.16035/j.issn.1001-7283.2018.01.012

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Analysis of Main Agronomic Traits of 28 Barley Varieties (Lines)

Gao Zhanning,Feng Hui,Xue Zhenggang,Yang Yongqian,Wang Shujie,Pan Zhengmao   

  1. Zhumadian Academy of Agricultural Sciences, Zhumadian 463000, Henan, China
  • Received:2017-09-30 Revised:2017-12-11 Online:2018-02-20 Published:2018-08-24

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Abstract:

In order to explore the genetic basis of main agronomic traits of barley, and provide reference for barley high-yield breeding, the main agronomic traits and yield were analyzed in 28 barley varieties (lines). The results showed that all the agronomic traits exhibited abundant genetic variations, and seven of them were identified with the significant variations, which can be used further. Correlation analyses indicated that there were complex correlations among the agronomic traits, and the yield was affected by multiple traits. The number of the spikelet was significantly and positively correlated with yield, and the partial correlation coefficient was also positive between the spikelet number and yield. Principle component analyses indicated that four main principle components with cumulative contribution rate of 86.8889%. All materials were clustered into two main groups: short stalk with more seeds and high stalk with more spikes.

Key words: Barley, Agronomic traits, Correlation analysis, Principle component analysis, Cluster analysis

Table 1

The names and origins of tested materials"

编号Number 品种(系) Variety (line) 棱型Row-type 来源Origin
1 驻大麦4号 6 河南
2 驻大麦3号 2 河南
3 驻大麦5号 2 河南
4 驻大麦6号 2 河南
5 驻大麦7号 2 河南
6 驻大麦8号 6 河南
7 驻4-300 6 河南
8 驻南4-238 6 河南
9 驻6-71 2 河南
10 苏啤3号 2 江苏
11 苏啤4号 2 江苏
12 盐99175 2 江苏
13 苏啤6号 2 江苏
14 苏啤7号 2 江苏
15 扬农啤5号 2 江苏
16 扬农啤11号 2 江苏
17 扬农啤12号 2 江苏
18 甘垦5号 6 甘肃
19 浙皮8号 2 浙江
20 岗二 2 —
21 沪16 2 上海
22 盐黑1号 2 江苏
23 鄂单215 2 湖北
24 鄂大麦105 2 湖北
25 鄂大麦072 2 湖北
26 浙皮9号 2 浙江
27 浙皮10号 2 浙江
28 浙3521 2 浙江

Table 2

The performance and diversity index of agronomic traits"

性状Trait 平均值
Mean		 最小值
Minimum		 最大值
Maximum		 极差
Range		 标准误
Standard error		 变异系数(%)
Variable coefficient		 多样性指数
Diversity index
不孕粒数Infertility grain number 3.42 0.70 10.75 10.05 2.61 81.87 0.8127
穗粒数Grain number per spike 30.52 19.00 69.25 50.25 2.44 41.87 0.7977
千粒重1000-grain weight (g) 38.60 22.70 48.60 25.90 1.07 17.26 0.8117
有效穗Spike number (万/hm2) 735.45 377.10 1 067.10 690.00 1.39 18.67 0.8061
株高Plant height (cm) 93.03 78.67 116.17 37.50 0.82 8.64 0.8036
穗长Spike length (cm) 6.38 4.42 7.81 3.39 0.31 12.85 0.8585
子粒产量Grain yield (kg/hm2) 5 748.15 3 288.89 8 518.52 5 229.63 0.47 17.27 0.8780

Table 3

Performance and variance of agronomic traits of tested materials"

性状Trait 范围/数目Range/number
不孕粒数Infertility grain number (0,3)/15 (3,6)/7 (6,9)/5 (9,12)/1
穗粒数Grain number per spike (15,30)/23 (30,45)/0 (45,60)/4 (60,75)/1
千粒重1000-grain weight (g) (20,30)/5 (30,40)/9 (40,50)/14
有效穗Spike number (万/hm2) (375,525)/2 (525,675)/7 (675,825)/13 (825,975)/4 (975,1125)/2
株高Plant height (cm) (70,80)/1 (80,90)/8 (90,100)/15 (100,110)/3 (110,120)/1
穗长Spike length (cm) (4,5)/1 (5,6)/7 (6,7)/15 (7,8)/5
子粒产量Grain yield (kg/hm2) (3000,4500)/2 (4500,6000)/16 (6000,7500)/9 (7500,9000)/1

Table 4

The correlation coefficient of main agronomic traits of tested materials"

性状
Trait		 不孕粒数
Infertility grain number		 穗粒数
Grain number per spike		 千粒重
1000-grain weight		 有效穗
Spike number		 株高
Plant height		 穗长
Spike length		 子粒产量
Grain yield
不孕粒数 -1 -0.0335 -0.0289 -0.2913 -0.3629 -0.1634 -0.1449
穗粒数 -0.3945* -1 -0.7382 -0.2907 -0.0207 -0.2419 -0.1317
千粒重 -0.4535* -0.8167** -1 -0.0557 -0.1193 -0.4359 -0.0342
有效穗 -0.4137* -0.4968** -0.4099* -1 -0.1440 -0.0635 -0.0965
株高 -0.5259** -0.4144* -0.5263** -0.2186 -1 -0.2383 -0.4305*
穗长 -0.4645* -0.3687* -0.5849** -0.2629 -0.5196** -1 -0.0800
子粒产量 -0.2184 -0.4154* -0.4090* -0.2442 -0.5174** -0.2380 -1

Table 5

Principal component analysis of seven main agronomic traits of tested materials"

项目Item 第一主成分
Principal component 1		 第二主成分
Principal component 2		 第三主成分
Principal component 3		 第四主成分
Principal component 4
特征值Eigenvalue 3.6000 0.9283 0.8715 0.6824
贡献率Contribution percentage (%) 51.4292 13.2616 12.4501 9.7480
累计贡献率Accumulated contribution percentage (%) 51.4292 64.6908 77.1409 86.8889
不孕粒数Infertility grain number -0.3640 0.0048 -0.5062 0.4495
穗粒数Grain number per spike -0.4219 -0.3376 0.2766 -0.3405
千粒重1000-grain weight 0.4558 0.1136 -0.0814 0.4709
有效穗Spike number 0.3097 0.6614 0.0084 -0.4487
株高Plant height 0.3941 -0.5085 0.0284 -0.2030
穗长Spike length 0.3659 -0.2517 0.4521 0.3387
子粒产量Grain yield -0.3107 0.3373 0.6749 0.3208

Fig.1

Clustering scheme of main agronomic traits of texted materials|||1-28 are variety (line) numbers (Table 1)"

Table 6

Average of agronomic traits in each cluster"

类群
Group		 不孕粒
Infertility		 穗粒数
Grain number per spike		 千粒质量(g)
1000-grain weight		 有效穗(×104/hm2)
Spike number		 株高(m)
Plant height		 穗长(m)
Spike length		 产量(kg/hm2)
Grain yield
第一类Group 1 6.75 56.05 26.31 564.90 83.70 5.36 6 681.48
第二类Group 2 2.70 24.97 41.23 772.50 95.06 6.60 5 540.74
平均值Average 4.72 40.51 33.77 668.70 89.38 5.98 6 118.52
[1] 马得泉 . 青藏高原与西南亚地区野生二棱大麦性状的比较研究. 大麦科学, 2002(2):1-5.
doi: 10.3969/j.issn.1673-6486.2002.02.001
[2] 孟霞, 卓嘎, 大次卓嘎 , 等. 西藏部分青稞主要农艺性状分析. 麦类作物学报, 2010,30(6):1043-1047.
doi: 10.7606/j.issn.1009-1041.2010.06.011
[3] 高彩婷 . 大麦种质资源评价与利用. 呼和浩特:内蒙古农业大学, 2005.
[4] 陈丽华, 张志斌, 侯志强 , 等. 青海省青稞主栽品种农艺性状分析. 江西农业大学学报, 2012,34(3):439-444.
[5] 佟汉文, 黄荣华, 刘易科 , 等. 小麦新品种农艺性状与产量的相关及通径分析. 湖北农业科学, 2008,47(7):758-760.
doi: 10.3969/j.issn.0439-8114.2008.07.008
[6] 赵倩, 姜鸿明, 孙美芝 , 等. 山东省区试小麦产量与产量构成因素的相关和通径分析. 中国农学通报, 2011,27(7):42-45.
[7] 谭静, 陈洪梅, 韩学莉 , 等. 玉米杂交种产量与产量构成因素的相关和通径分析. 华北农学报, 2009,24(增刊):155-158.
doi: 10.7668/hbnxb.2009.s2.034
[8] 李月英, 刘全喜, 张文英 , 等. 黑龙港流域冬小麦产量与气象因子相关与通径分析. 华北农学报, 2008,23(增刊):329-333.
doi: 10.7668/hbnxb.2008.S2.076
[9] 梁晓伟, 李林, 韩战敏 , 等. 杂交玉米主要农艺性状与产量的遗传相关性及通径分析. 湖南农业科学, 2012(23):1-3.
doi: 10.3969/j.issn.1006-060X.2012.23.001
[10] 张跃强, 李剑锋, 王钊英 , 等. 新疆主栽和育成春小麦品种产量潜力及其构成因素对产量的影响. 新疆农业科学, 2010,47(7):1406-1411.
[11] 曹廷杰 . 河南省近二十年来小麦育成品种主要农艺性状遗传演变规律. 郑州:河南农业大学, 2009.
doi: 10.7666/d.y1574275
[12] 叶新媛, 毛振荣 . 淮北地区小麦产量构成因素分析及其高产策略. 小麦研究, 2008,29(3):19-21.
[13] 赵媛媛, 张丽莉, 石瑛 , 等. 马铃薯抗旱种质资源的筛选. 作物杂志, 2017(4):72-77.
[14] 纪荣芳 . 主成分分析法中数据处理方法的改进. 山东科技大学学报, 2007,26(5):95-98.
doi: 10.3969/j.issn.1672-3767.2007.05.023
[15] 李洁, 李作安, 许文芝 , 等. 大麦性状特异性聚类分析. 中国农学通报, 2007(7):217-221.
doi: 10.3969/j.issn.1000-6850.2007.07.051
[16] 韩文革, 董爱书, 高军 , 等. 基于聚类和逐步回归分析的玉米品种间关系研究. 作物研究, 2016,30(3):250-257.
doi: 10.16848/j.cnki.issn.1001-5280.2016.03.04
[17] 王娟, 李荫藩, 梁秀芝 , 等. 北方主栽燕麦品种种质资源形态多样性分析. 作物杂志, 2017(4):27-32.
[18] 郭晓丽, 白丽荣 . 10个小黑麦品种(系)的遗传多样性分析. 河南农业科学, 2016,45(2):26-28.
doi: 10.15933/j.cnki.1004-3268.2016.02.006
[19] 余青兰, 李富全, 陈丽华 , 等. 大麦产量结构的相关及通径分析. 青海农林科技, 1996(3):15-17.
[20] 张中州, 赵月强, 张锋 , 等. 2005 ~2012年河南省审定的半冬性小麦品种产量和主要农艺性状分析与评价. 作物杂志, 2014(5):32-37.
[21] 希日格乐, 李春辉, 郭世华 . 春玉米穗部性状与单株产量间的相关及通径分析. 内蒙古农业大学学报, 2010,31(3):106-110.
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