Crops ›› 2022, Vol. 38 ›› Issue (1): 70-76.doi: 10.16035/j.issn.1001-7283.2022.01.010

Previous Articles     Next Articles

Comprehensive Evaluation of Two-Rowed Barley Varieties (Lines)

Gao Zhanning1(), Wang Shujie1(), Feng Hui1, Xue Zhenggang1, Yang Yongqian1, Song Xiaopeng1, Jie Yuanfen2   

  1. 1Zhumadian Academy of Agricultural Sciences, Zhumadian 463000, Henan, China
    2College of Food Engineering, Henan Vocational College of Agriculture, Zhengzhou 450000, Henan, China
  • Received:2021-01-13 Revised:2021-04-21 Online:2022-02-15 Published:2022-02-16
  • Contact: Wang Shujie E-mail:gaozhanning0001@163.com;13939672159@139.com

RichHTML

6

PDF (PC)

259

Abstract:

In order to select and create excellent two-rowed barley germplasm, the agronomic traits of 38 two-rowed barley varieties (lines), including plant height, panicle length, 1000-grain weight, number of grains per panicle, effective panicle number, grain yield, infertility grain number, and grain protein content, were analyzed and comprehensively evaluated. Results showed that the variations of these traits, effective panicle number, grain yield, panicle length, infertility grain number and protein content of the two-rowed barley varieties (lines) were relatively large, while the variations of plant height, 1000-grain weight and grain number per panicle were relatively small. The yield increase effect of two-rowed barley breeding was mainly reflected in the moderate increase of panicle length and effective panicle number. Correlation analysis showed that there were complex correlations among the characters of two-rowed barley, and several characters affected the yield, among which there was a significant positive correlation between effective panicle number and grain yield. At the level of genetic distance of 10, the two-rowed barley varieties (lines) could be divided into two groups: medium stalk and large-grain type, and short stalk and multi-panicle type. Through principal component analysis, the main agronomic traits of 38 two-rowed barley varieties (lines) were divided into four principal components, and their cumulative contribution rate was 85.5807%. Furthermore through the principal component two-dimensional sequencing analysis, scores of the first four principal components were used as indexes to analyze the differences in specific factor traits of 38 two-rowed barley varieties (lines), which provide the basis for the creation of excellent germplasm and the selection of parents.

Key words: Two-rowed barley, Traits, Genetic diversity, Comprehensive evaluation

Table 1

The names and origins of materials tested"

编号Number 品种（系）Variety (line) 来源Origin 编号Number 品种（系）Variety (line) 来源Origin
1 驻大麦3号 中国河南 20 鄂单215 中国湖北
2 驻大麦5号 中国河南 21 岗二 日本
3 驻大麦6号 中国河南 22 沪16 中国上海
4 驻大麦7号 中国河南 23 盐黑1号 中国江苏
5 驻大麦9号 中国河南 24 K09-4 中国上海
6 苏啤3号 中国江苏 25 2013南6-10 中国河南
7 苏啤4号 中国江苏 26 5-68 中国河南
8 盐99175 中国江苏 27 4-45 中国河南
9 苏啤6号 中国江苏 28 7-115 中国河南
10 苏啤7号 中国江苏 29 8-33 中国河南
11 扬农啤5号 中国江苏 30 2011南4-22 中国河南
12 扬农啤11号 中国江苏 31 8-74 中国河南
13 扬农啤12号 中国江苏 32 6-129 中国河南
14 浙皮8号 中国浙江 33 5-34 中国河南
15 浙3521 中国浙江 34 5-55 中国河南
16 浙皮9号 中国浙江 35 驻5-63 中国河南
17 浙皮10号 中国浙江 36 6-128 中国河南
18 鄂大麦105 中国湖北 37 2013南5-22 中国河南
19 鄂大麦072 中国湖北 38 4-272 中国河南

Table 2

The main agronomic traits, protein contents and diversity indexes of two-rowed barley varieties (lines)"

性状
Trait		 均值
Mean		 最大值
Maximum		 最小值
Minimum		 极差
Range		 标准差
Standard deviation		 变异系数
Variable coefficient (%)		 多样性指数
Diversity index (H)
株高Plant height (cm) 87.45 113.94 74.22 39.72 8.38 9.59 1.9018
穗长Panicle length (cm) 6.15 7.68 4.82 2.86 0.73 11.90 2.0209
千粒重1000-grain weight (g) 41.22 49.06 36.51 12.55 3.18 7.71 1.8591
穗粒数Grains per panicle 25.61 30.43 21.53 8.90 2.30 8.97 2.0518
有效穗数Effective panicle number (×104/hm2) 767.00 1027.46 579.27 448.19 106.10 13.83 2.0250
籽粒产量Grain yield (kg/hm2) 6751.57 8797.49 5077.08 3720.41 878.23 13.01 2.0448
不孕粒数Infertility grain number 1.87 4.57 0.80 3.77 0.78 41.94 1.8735
蛋白质含量Protein content (%) 9.90 12.71 7.15 5.56 1.32 13.37 2.0275

Fig.1

The main agronomic traits of two-rowed barley varieties (lines) The left ordinate is used for the traits of plant height, panicle length, 1000-grain weight, grains number per panicle, infertility grain number and protein content, and the secondary ordinate is used for the grain yield and effective panicle number"

Table 3

The correlation analysis of main agronomic traits of two-rowed barley varieties (lines)"

性状
Trait		 株高
Plant
height		 穗长
Panicle
length		 千粒重
1000-grain
weight		 穗粒数
Grains per
panicle		 有效穗数
Effective
panicle number		 籽粒产量
Grain
yield		 不孕粒数
Infertility
grain number
株高Plant height 1 0.4449** -0.0435 -0.2325 -0.2171 -0.259 -0.1332
穗长Panicle length 0.4492** 1 0.1914 0.8141** 0.4635 -0.3332* 0.3702*
千粒重1000-grain weight 0.2214 0.0948 1 -0.1316 -0.3933* -0.0026 -0.2317
穗粒数Grains per panicle 0.1454 0.7089** 0.0772 1 -0.3873* 0.4033* -0.4046*
有效穗数Effective panicle number -0.3053 0.0974 -0.4779** -0.0175 1 0.4763** -0.0443
籽粒产量Grain yield -0.5288** -0.1642 -0.3000 0.1302 0.5082** 1 0.0503
不孕粒数Infertility grain number -0.0277 0.0844 -0.2539 -0.2165 0.2132 -0.0018 1

Fig.2

Clustering scheme of main agronomic traits of two-rowed barley varieties (lines)"

Table 4

Average of agronomic traits in every cluster"

类群
Group		 株高
Plant height
(cm)		 穗长
Panicle length
(cm)		 千粒重
1000-grain
weight (g)		 穗粒数
Grains per
panicle		 有效穗数
Effective pancile number
(×104/hm2)		 籽粒产量
Grain yield
(kg/hm2)		 不孕粒数
Infertility
grain number
Ⅰ 91.24 6.32 41.73 25.67 735.24 6159.15 1.85
Ⅱ 82.30 5.95 40.44 25.54 815.47 7550.25 1.86
平均值Average 86.77 6.14 41.09 25.60 775.36 6854.70 1.85

Table 5

Principal component analysis of main agronomic traits of two-rowed barley varieties (lines)"

性状Trait 第1主成分
Principal component 1		 第2主成分
Principal component 2		 第3主成分
Principal component 3		 第4主成分
Principal component 4
株高Plant height 0.4861 0.3300 0.4065 0.2381
穗长Panicle length 0.0807 0.6085 -0.2122 0.6025
千粒重1000-grain weight 0.3407 0.1463 -0.3036 -0.3129
穗粒数Grains per panicle -0.3865 0.1043 0.6430 0.1040
有效穗数Effective panicle number 0.3181 0.0744 0.5216 -0.3698
籽粒产量Grain yield 0.5967 -0.1994 -0.0240 -0.0123
不孕粒数Infertility grain number 0.1858 -0.6658 0.1069 0.5785
特征值Eigenvalue 2.3475 1.7280 1.2438 0.6714
贡献率Contribution percentage (%) 33.5353 24.6861 17.7681 9.5912
累计贡献率Accumulated contribution percentage (%) 33.5353 58.2214 75.9895 85.5807

Fig.3

Scatterplot based on PCA of two-rowed barley varieties (lines) PC1, PC2, PC3, PC4 represent the score values of the first, second, third and forth principal components, respectively"

[1] 孙远东, 朱昊华, 吕超, 等. 大麦株高类性状的杂种优势及其稳定性分析. 大麦与谷类科学, 2019, 36(2):22-27.
[2] 张海成. 引进大麦种质资源的生态适应性研究. 杨凌:西北农林科技大学, 2006.
[3] 张新忠, 李英哲, 郭宝健, 等. 二棱大麦与六棱大麦籽粒性状的差异性及相关性. 麦类作物学报, 2016, 36(11):1474-1481.
[4] 刘亚楠, 朱娟, 吕超, 等. 二棱大麦种质的综合评价. 麦类作物学报, 2018, 38(4):430-439.
[5] 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.
[6] 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.
[7] 李守明. 大麦种质资源的遗传多样性研究. 石河子:石河子大学, 2010.
[8] 赵倩, 李美玲, 李林志, 等. 2006-2012年山东省审定高产小麦品种产量构成因素相关和通径分析. 山东农业科学, 2013, 45(11):21-24.
[9] 张亚静, 蒋礼玲, 吴昆仑, 等. 不同类型青稞产量构成因素及其对产量的影响. 江苏农业科学, 2016, 44(5):119-121.
[10] 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.
[11] 周伟. 二棱大麦种质资源引进与评价研究. 杨凌:西北农林科技大学, 2006.
[12] 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, 23(7):217-221.
[13] 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):250-254.
[14] 荆瑞勇, 卫佳琪, 王丽艳, 等. 基于主成分分析的不同水稻品种品质综合评价. 食品科学, 2020, 41(24):179-184.
[15] 纪荣芳. 主成分分析法中数据数据处理方法的改进. 山东科技大学学报, 2007, 26(5):95-98.
[16] 沈甜, 牛锐敏, 黄小晶, 等. 基于层次-关联度和主成分分析的无核鲜食葡萄品质评价. 食品工业科技, 2021, 42(3):53-60,67.
[17] 吴琴燕, 朱建飞, 陈宏州, 等. LS-MS测定不同品种小麦中氨基酸含量及PCA分析. 生物加工过程, 2021, 19(1):53-60.
[18] 张娜, 张建丰, 李涛, 等. 西安地区冬小麦灌溉水分与生产率影响因素的主成分分析. 西安理工大学学报, 2021, 37(1):9-15.
[19] 王海燕, 卓奕君. 基于主成分分析的统计过程控制图模式识别方法. 统计与决策, 2020, 36(24):20-24.
[20] 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.
[21] 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.
[22] 刘朝辉, 李红伟, 乔庆州, 等. 黄淮南片小麦产量构成因素的相关分析. 作物杂志, 2013(5):58-61.
[23] 高翔, 宁锟, 杜联盟, 等. 小麦产量结构性状研究. 国外农学-麦类作物, 1994(2):40-41.
[24] 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.
[25] 田纪春, 邓志英, 胡瑞波, 等. 不同类型超级小麦产量构成因素及籽粒产量的通径分析. 作物学报, 2006, 32(11):1699-1705.
[26] 刘亚楠, 潘雨涵, 郭晖, 等. 六棱大麦种质表型遗传多样性评价. 植物遗传资源学报, 2018, 19(5):846-856.
[1] Feng Sufen, Liu Yuanjian, Xu Ruiqi, Zhang Wei. Analysis on Main Traits of Fresh Corn Varieties Recently Approved in Yunnan Province [J]. Crops, 2022, 38(1): 220-226.
[2] Li Wenlue, Chen Changli, Luo Xiahong, Liu Tingting, An Xia, Jin Guanrong, Zhu Guanlin. Genetic Diversity Analysis of Phenotypic Characteristics of Kenaf Resources in Zhejiang Province [J]. Crops, 2022, 38(1): 50-55.
[3] Song Quanhao, Jin Yan, Song Jiajing, Bai Dong, Zhao Lishang, Chen Jie, Zhu Tongquan. Evaluation the Breeding Utilizability of Synthetic Hexaploid Wheat in Huang-Huai Area [J]. Crops, 2022, 38(1): 56-64.
[4] Gu Yuchao, Yang Yide, Yan Min, Liu Yong, Yang Jian, Xiang Jinyou, Luo Zhushi, Li Linqiu, Jing Yanqiu, Yang Yang. Effects of GA3 and 6-BA on Agronomic Traits and Chemical Components of Flue Cured Tobacco after Topping [J]. Crops, 2021, 37(6): 171-176.
[5] An Jianghong, Zhang Wenjing, Yang Xiaohong, Nan Jinsheng, Yang Yan, Yan Mingxia, Han Bing. Comparison of Two Methods for Kernel Hardness Determination of Naked Oats [J]. Crops, 2021, 37(6): 28-35.
[6] Zhang Yanru, Yang Zihe, Yang Rong, Han Jian, Jiao Jinlong, Zhao Li, Wu Yuanqi. Evaluation of the Adaptability of Tropical Maize Germplasm Population to Control Parental Mixed Selections [J]. Crops, 2021, 37(5): 14-19.
[7] Wang Yuting, Miao Xingfen, Wang Di. Screening and Evaluation of Atrazine-Resistant Germplasm Resources of Foxtail Millet at Germination Stage [J]. Crops, 2021, 37(5): 194-204.
[8] Guo Yuqi, Wang Caijin, Wang Yang. Diversity Analysis of Seed Vigor-Related Traits of Spring Soybean Landraces in North China [J]. Crops, 2021, 37(5): 211-218.
[9] Wang Yun, Qiao Ling, Yan Suxian, Wu Bangbang, Zheng Xingwei, Zhao Jiajia. Analysis of the Yield Components and Drought Resistance of Dryland Wheat in Different Years from Shanxi Province [J]. Crops, 2021, 37(5): 43-49.
[10] Liu Xin, Yang Fang, Deng Junbo, Wang Aiai, He Nian, Chen Yan. Phenotypic Analysis and Comprehensive Evaluation of Soybean Strains in Jianghan Plain of China [J]. Crops, 2021, 37(5): 57-63.
[11] Zhang Quanfang, Jiang Mingsong, Chen Feng, Zhu Wenyin, Zhou Xuebiao, Yang Lianqun, Xu Jiandi. Analysis of Genetic Diversity of Rice Varieties (Lines) in Shandong Province [J]. Crops, 2021, 37(4): 26-31.
[12] Guo Qiang, Ma Wenqing, Qin Changxian, Shi Zesheng, Peng Chong, Bi Dejin, He Hongliang, Liang Yongjian, Tang Liqiu. Comprehensive Evaluation of New Sugarcane Clones by DTOPSIS Method [J]. Crops, 2021, 37(4): 32-37.
[13] Feng Yanfei, Yang Wei, Ren Guoxin, Deng Jie, Li Wenlong, Gao Shuren. Comprehensive Evaluation of Some Maize Hybrids in Heilongjiang Province [J]. Crops, 2021, 37(4): 46-50.
[14] Li Qiong, Chang Shihao, Wu Tingting, Geng Zhen, Yang Qingchun, Shu Wentao, Li Jinhua, Zhang Donghui, Zhang Baoliang. Analysis of Genetic Diversity and Genetic Relationship for 120 Soybean Germplasms [J]. Crops, 2021, 37(4): 51-58.
[15] Zhu Xu, Hu Weili, Yang Houyong, Xu Yang, Xiang Zhen, Yang Ling, Yang Pengcheng. Analysis of Suitable Agronomic Traits for Mechanized Harvesting Mung Bean Varieties (Lines) in Nanyang Basin [J]. Crops, 2021, 37(4): 93-98.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!