Crops ›› 2022, Vol. 38 ›› Issue (6): 93-97.doi: 10.16035/j.issn.1001-7283.2022.06.013

Previous Articles     Next Articles

Comprehensive Assessment of the Yield and Quality of Forage and Grain among Multi-Rowed Barley Lines

Zhao Bin1,2(), Ji Changhao1,2, Sun Hao1,2, Zhu Bin1,2, Wang Rui1,2, Chen Xiaodong1,2()   

  1. 1Crop Research Institute, Anhui Academy of Agricultural Sciences, Hefei 230031, Anhui, China
    2Key Laboratory of Anhui Provincial Crop Quality Improvement, Hefei 230031, Anhui, China
  • Received:2021-07-06 Revised:2022-08-18 Online:2022-12-15 Published:2022-12-21
  • Contact: Chen Xiaodong E-mail:anzb_0@163.com;xdchen@yahoo.com

Abstract:

In order to breed elite barley varieties suitable for planting along the Yangtze River and Jianghuai regions with good forage and grain yield and quality, 12 multi-rowed barley lines were compared with Xiyin No.2 (control variety, CK) and evaluated through grey correlation analysis. The results showed that the hay yield of B11015-1 was significantly higher than most of other lines, but had no significant difference with CK. The grain yield of several lines was higher than CK, among which B11015-7 had the highest grain yield. B11015-7 and B11015-3 had higher crude protein contents of 7.96% and 7.82%, respectively, while B11015-2 and B11015-14 had higher relative feeding value (159.15 and 157.14, respectively). B11015-3 and Wansi 2-1 had higher protein contents (10.33% and 10.03% respectively). Grey correlation analysis based on ten selected traits revealed B11015-3, B11015-1, B11015-2 and B11015-14 were superior than CK. Therefore, the selected four lines are elite barley materials for planting in Yangtze River and Jianghuai regions to harvest forage and grain.

Key words: Barley, Grain yield, Forage yield, Grain quality, Forage quality, Grey correlation analysis

Table 1

Plant height and yield related traits among tested materials"

材料
Material
株高
Plant height (cm)
单株穗数
SNP
穗粒数
GNS
千粒重
1000-grain weight (g)
籽粒产量
Grain yield (t/hm2)
干草产量
Hay yield (t/hm2)
B11015-1 108.33±6.66abc 3.80±0.82abc 56.33±3.28ab 32.77±1.12b 6.43±0.28de 18.88±0.69a
B11015-2 96.13±4.88f 3.87±0.68abc 63.99±3.05a 30.40±0.87cde 7.02±0.27abcd 16.44±1.77ab
B11015-3 106.22±2.57bcd 4.20±0.53abc 56.34±2.02ab 33.97±0.21a 7.12±0.53abc 15.65±0.99b
B11015-7 100.03±6.29def 3.17±0.58c 53.06±2.96cd 32.23±1.78b 7.55±0.26a 15.51±1.76b
B11015-11 101.90±1.35cdef 4.33±0.21ab 54.36±1.50c 30.43±0.57cde 7.49±0.48ab 15.60±1.46b
B11015-14 104.96±0.83bcd 3.30±0.26bc 60.99±2.42a 31.77±0.38bc 6.56±0.34cde 15.65±2.29b
B11015-17 96.95±3.23ef 3.97±0.32abc 57.10±2.28ab 30.40±1.06cde 7.33±0.31ab 15.64±1.72b
B10041-1 101.61±1.59cdef 3.77±0.06abc 52.76±5.70cd 33.37±0.29ab 5.99±0.21ef 14.71±0.45b
B10041-2 102.93±4.79cdef 3.40±0.87abc 55.01±4.09c 33.07±0.50ab 6.45±0.57cde 14.56±1.61b
B10046 103.59±3.66cde 3.90±0.52abc 51.96±2.88cd 33.10±0.42ab 6.85±0.30bcd 15.10±1.49b
B11013 111.86±2.59ab 3.13±0.50c 62.41±2.77a 30.53±0.71cd 5.60±0.44f 14.96±0.52b
皖饲2-1 Wansi 2-1 106.51±2.89bcd 4.43±0.55a 54.60±2.07c 28.93±0.90de 6.03±0.29ef 16.62±0.66ab
西引二号Xiyin No.2 (CK) 114.15±2.41a 3.90±0.66abc 48.35±1.27d 28.90±1.08e 5.46±0.14f 16.60±1.31ab

Table 2

Comparison of quality traits of forage and grain among tested materials"

材料
Material
粗蛋白含量
CP (%DM)
粗纤维含量
CF (%DM)
酸性洗涤纤维
ADF (%DM)
中性洗涤纤维
NDF (%DM)
酸性洗涤
木质素
ADL (%DM)
相对饲喂价值
RFV
籽粒蛋白质含量
Protein content
in grains (%)
籽粒淀粉含量
Starch content
in grains (%)
B11015-1 6.08±0.52bcde 25.80±0.57cde 25.95±0.64cd 44.50±2.40cde 3.50±0.14ab 143.82±8.81ab 9.43±0.45bcd 54.33±0.76ab
B11015-2 5.71±0.30cde 24.10±2.40de 20.20±0.00e 42.90±3.39de 2.70±0.14b 159.15±12.59a 8.33±0.85f 54.63±0.85ab
B11015-3 7.82±0.04ab 30.35±2.62ab 31.05±3.32ab 51.20±1.13ab 4.00±0.28a 117.65±7.30de 10.33±1.04ab 53.43±0.80b
B11015-7 7.96±0.80a 29.40±1.13abc 28.40±0.42abc 50.65±3.32ab 3.90±0.14a 122.93±8.67cde 8.30±0.75f 54.47±0.76ab
B11015-11 6.79±0.46abcd 29.90±0.42ab 29.85±0.92abc 49.20±0.57bc 4.20±0.14a 124.14±2.78bcde 8.60±0.10def 54.23±0.47ab
B11015-14 5.05±0.23de 22.80±1.13e 23.05±0.07de 42.00±0.42e 3.25±0.07ab 157.14±1.71a 8.40±0.20ef 54.33±0.81ab
B11015-17 5.60±0.78cde 28.60±1.41abc 27.25±2.33bc 47.70±2.12bcd 3.95±0.92a 132.18±9.42bcd 8.20±0.53f 54.93±0.70a
B10041-1 6.71±1.22abcde 27.40±0.28bcd 28.35±0.07abc 48.30±1.27bc 3.70±0.14ab 128.73±3.50bcd 9.50±0.10bcd 54.30±0.66ab
B10041-2 4.89±1.03e 31.80±0.28a 32.20±0.14a 54.60±1.13a 4.30±0.14a 108.75±2.07e 9.07±0.49cdef 53.90±0.53ab
B10046 5.50±1.00de 28.80±0.00abc 27.95±0.21bc 49.50±1.13abc 3.20±0.28ab 126.18±2.57bcde 9.37±0.50bcde 53.63±0.55ab
B11013 6.32±0.18abcde 26.05±0.92cde 25.80±1.41cd 45.20±1.84cde 3.55±0.64ab 141.67±3.49abc 9.37±0.25bcde 53.77±0.31ab
皖饲2-1 Wansi 2-1 6.27±1.29abcde 27.35±3.04bcd 28.25±3.32abc 45.90±2.69bcde 3.85±0.92a 135.96±13.21bcd 10.03±0.25abc 54.07±0.91ab
西引二号
Xiyin No.2 (CK)
7.40±0.54abc 27.20±0.85bcd 26.05±2.19cd 45.90±3.68bcde 3.55±0.49ab 139.63±14.65abc 10.50±0.46a 53.53±1.12ab

Table 3

Correlation coefficients between tested materials and desired variety"

材料
Material
株高
Plant
height
单株穗数
SNP
穗粒数
GNS
千粒重
1000-grain
weight
干草产量
Hay yield
籽粒产量
Grain yield
粗蛋白
CP
粗纤维
CF
相对饲
喂价值
RFV
籽粒蛋白质含量
Protein content
in grains
B11015-1 0.7947 0.5812 0.6226 0.8482 1.0000 0.5698 0.4551 0.6000 0.6720 0.6595
B11015-2 0.5556 0.6096 1.0000 0.6525 0.6044 0.7364 0.4110 0.7759 1.0000 0.4885
B11015-3 0.7397 0.7917 0.6228 1.0000 0.5356 0.7764 0.9208 0.3734 0.4309 0.9242
B11015-7 0.6148 0.4097 0.5362 0.7940 0.5251 1.0000 1.0000 0.4054 0.4644 0.4851
B11015-11 0.6478 0.8974 0.5673 0.6545 0.5315 0.9623 0.5730 0.3879 0.4729 0.5217
B11015-14 0.7103 0.4362 0.8082 0.7529 0.5356 0.6004 0.3508 1.0000 0.9399 0.4967
B11015-17 0.5671 0.6553 0.6470 0.6525 0.5344 0.8688 0.3995 0.4369 0.5381 0.4740
B10041-1 0.6425 0.5698 0.5293 0.9179 0.4718 0.4888 0.5577 0.4945 0.5080 0.6745
B10041-2 0.6676 0.4591 0.5844 0.8817 0.4631 0.5762 0.3384 0.3333 0.3839 0.5917
B10046 0.6809 0.6226 0.5122 0.8851 0.4965 0.6804 0.3896 0.4286 0.4879 0.6471
B11013 0.9079 0.4021 0.8888 0.6609 0.4871 0.4326 0.4899 0.5806 0.6425 0.6471
皖饲2-1
Wansi 2-1
0.7468 1.0000 0.5736 0.5709 0.6220 0.4942 0.4823 0.4972 0.5753 0.8151
西引二号
Xiyin No.2 (CK)
1.0000 0.6226 0.4468 0.5694 0.6201 0.4160 0.7371 0.5056 0.6168 1.0000

Table 4

Equal weight association degree and weighting coefficient for ten traits"

性状
Trait
等权关联度
Equal weight
association degree
权重系数
Weighting
coefficient
排序
Rank
干草产量Hay yield 0.5713 0.0910 8
籽粒产量Grain yield 0.6617 0.1054 3
株高Plant height 0.7135 0.1136 2
单株穗数SNP 0.6198 0.0987 6
每穗粒数GNS 0.6415 0.1022 5
千粒重1000-grain weight 0.7570 0.1206 1
粗蛋白含量CP 0.5466 0.0870 9
粗纤维含量CF 0.5246 0.0835 10
相对饲喂价值RFV 0.5948 0.0947 7
籽粒蛋白质含量
Protein content in grains
0.6481 0.1032 4

Table 5

Weighted association degree and rank of tested materials"

材料
Material
加权关联度
Weighted association degree
排序
Rank
B11015-1 0.6861 2
B11015-2 0.6825 3
B11015-3 0.7245 1
B11015-7 0.6290 8
B11015-11 0.6298 7
B11015-14 0.6635 4
B11015-17 0.5853 12
B10041-1 0.5961 11
B10041-2 0.5448 13
B10046 0.5975 10
B11013 0.6221 9
皖饲2-1 Wansi 2-1 0.6418 6
西引二号Xiyin No.2 (CK) 0.6577 5
[1] 陈晓东, 赵斌, 王瑞, 等. 不同刈割茬次与刈割时期对大麦饲草产量与品质的影响. 中国农学通报, 2015, 31(12):36-39.
[2] 季昌好, 王瑞, 陈晓东, 等. 大麦绿植体饲用方法. 大麦与谷类科学, 2018, 35(4):38-39.
[3] 张国平, 邬飞波. 大麦生产、改良与利用. 杭州: 浙江大学出版社, 2012.
[4] 王勇生, 王博, 雷恒. 大麦的营养价值与提高其畜禽利用率的措施. 中国饲料, 2014(4):18-22.
[5] 高小丽, 廖文华, 王姗姗, 等. 豌豆主要农艺和品质性状的相关性及灰色关联度分析. 作物杂志, 2016(5):56-60.
[6] 解松峰, 谢世学, 张百忍, 等. 秦巴山区玉米杂交组合主要性状与产量间的灰色关联度分析. 作物杂志, 2012(1):52-57.
[7] 田和彬, 汪军妹, 华为, 等. 大麦主要农艺和品质性状的相关性及灰色关联度分析. 浙江农业学报, 2011, 23(3):433-438.
[8] 徐芦, 陈三乐, 杜运科, 等. 灰色关联分析在大麦品比试验上的应用. 陕西农业科学, 2012, 58(3):26-28.
[9] 赵家涛. 烟茬后不同播期大麦主要农艺性状与产量的多重分析. 中国农学通报, 2017, 33(30):7-11.
[10] 赵斌, 陈晓东, 季昌好, 等. 不同刈割时期与干燥方式对大麦饲草品质的影响. 草原与草坪, 2020, 40(5):98-101.
[11] Chen X, Zhao B, Ji C H, et al. Breeding for purpose:sole- and dual-use barley. Agronomy Journal, 2021, 113:1758-1765.
doi: 10.1002/agj2.20608
[12] Chen X, Zhao B, Liang C, et al. Defoliation enhances green forage performance but inhibits grain yield in barley. Experimental Agriculture, 2016, 52(3):391-404.
doi: 10.1017/S0014479715000162
[13] 中国标准出版社第一编辑室. 中国农业标准汇编饲料方法卷. 北京: 中国标准出版社, 2010.
[14] Rohweder D A, Barnes R F, Jorgensen N. Proposed hay grading standards based on laboratory analyses for evaluating quality. Journal of Animal Science, 1978, 47:747-759.
doi: 10.2527/jas1978.473747x
[15] 邓聚龙. 灰色系统与农业. 山西农业科学, 1985(5):34-37.
[16] 周启龙, 多吉顿珠, 益西央宗. 拉萨地区16个燕麦引进品种的灰色关联度评价. 草地学报, 2020, 28(2):389-396.
doi: 10.11733/j.issn.1007-0435.2020.02.012
[17] 潘蒙英健, 高峰, 李长忠, 等. 黄淮海地区不同青贮玉米品种播期及其适应性研究. 青岛农业大学学报(自然科学版), 2018, 35(3):200-206.
[18] 孙建平, 董宽虎, 蒯晓妍, 等. 晋北农牧交错区引进燕麦品种生产性能及饲用价值比较. 草业学报, 2017, 26(11):222-230.
[19] 赵准, 李剑, 宋瑞娇, 等. 不同种植密度对大麦产量和青贮品质的影响. 作物杂志, 2020(1):110-116.
[20] 徐广祥, 史有国, 陈宇, 等. 内蒙古河套地区中轻度盐碱地麦后复种饲草大麦应用研究. 畜牧与饲料科学, 2018, 39(6):59-61.
[21] 孙建平, 薛竹慧, 杨国义, 等. 施氮对晋北燕麦饲草主要农艺性状及干物质产量的影响. 草地学报, 2018, 26(4):964-970.
doi: 10.11733/j.issn.1007-0435.2018.04.023
[22] Redmon L A, Horn G W, Krenzer E G, et al. A review of livestock grazing and wheat grain yield:boom or bust. Agronomy, 1995, 87(2):137-147.
[23] Distelfeld A, Korol A, Dubcovsky J, et al. Colinearity between the barley grain protein content (GPC) QTL on chromosome arm 6HS and the wheat Gpc-B1 region. Molecular Breeding, 2008, 22(1):25-38.
doi: 10.1007/s11032-007-9153-3
[24] Martre P, He J Q, Le G J, et al. In silico system analysis of physiological traits determining grain yield and protein concentration for wheat as influenced by climate and crop management. Journal of Experimental Botany, 2015, 66(12):3581-3598.
doi: 10.1093/jxb/erv049 pmid: 25810069
[25] 凌树礼. 应用RFV评价鄂尔多斯荒漠草原优势牧草营养价值. 畜牧与饲料科学, 2014, 35(10):15-16.
[26] 王茜, 李志坚, 李晶, 等. 不同类型燕麦农艺和饲草品质性状分析. 草业学报, 2019, 28(12):149-158.
[27] 李影正, 严旭, 吴子周, 等. 饲草玉米不同生育期的产量、品质和青贮利用研究. 草业学报, 2019, 28(7):82-91.
[28] 王士强, 胡银岗, 佘奎军, 等. 小麦抗旱相关农艺性状和生理生化性状的灰色关联度分析. 中国农业科学, 2007, 40(11):2452-2459.
[29] 耿慧, 王志锋, 刘卓, 等. 国内外苜蓿品种主要性状间的灰色关联度分析. 草业科学, 2009, 26(10):85-88.
[30] 王云涛, 杨志敏, 刘建成, 等. 冀西北地区21个燕麦品种生产性能与营养品质综合评价. 草地学报, 2020, 28(5):1311-1318.
[1] Chong Haotian, Shang Cheng, Zhang Yunbo, Huang Liying. Effects of Dense Planting with Reduced Nitrogen Application on Spikelet Formation of Different Types of Rice Varieties [J]. Crops, 2022, 38(6): 226-233.
[2] Zhang Haipeng, Chen Zhiqing, Wang Rui, Lu Hao, Cui Peiyuan, Yang Yanju, Zhang Hongcheng. Effects of Nitrogen Fertilizer Combined with Nano-Magnesium on Rice Yield, Grain Quality and Nitrogen Use Efficiency [J]. Crops, 2022, 38(4): 255-261.
[3] Zhao Lirong, Ma Ke, Zhang Liguang, Tang Sha, Yuan Xiangyang, Diao Xianmin. Analysis of Agronomic Traits and Quality of Foxtail Millet Varieties in Different Ecological Regions [J]. Crops, 2022, 38(2): 44-53.
[4] Gao Zhanning, Wang Shujie, Feng Hui, Xue Zhenggang, Yang Yongqian, Song Xiaopeng, Jie Yuanfen. Comprehensive Evaluation of Two-Rowed Barley Varieties (Lines) [J]. Crops, 2022, 38(1): 70-76.
[5] Zhang Pingzhen, Zhang Kehou, Chen Ying, Chen Jingping, Luo Jianke, Wang Zeyu. The Effects Analysis of Nitrogen, Phosphorus and Potassium Fertilization on Oat and Establishment of Yield Regression Model under Irrigation Condition [J]. Crops, 2021, 37(5): 101-107.
[6] Deng Chaochao, Wang Lei, Xu Ye, Zhou Qi, Su Cuicui, Cai Xiaobin, Miao Pinggui, Zhao Haipeng, Zhang Yan, Wang Yucai, Zhang Xiangping. Effects of Nitrogen and Sowing Rate on Yield and Quality of Fresh Leaves in Barley [2011(07)814] [J]. Crops, 2021, 37(5): 108-113.
[7] Liu Wei, Zhou Jianxiong, Xie Yuanyuan, Zhang Xu, Xiong Yousheng, Xu Xiangyu, Yuan Jiafu, Xiong Hanfeng. Effects of One-Time Basal Application of Nitrogen Fertilizer on Fresh Ear Yield, Quality and Nitrogen Utilization Efficiency of Summer-Sown Fresh Sweet Corn [J]. Crops, 2021, 37(5): 134-139.
[8] Zhang Shaoping, Geng Xiaoli, Wu Huijuan, Li Deming, Liu Qian, Gao Zhanqi. Breeding and Evaluating of Variety Characteristics of Avena sativa ‘Caoyan No.1’ [J]. Crops, 2021, 37(5): 219-224.
[9] Wang Zhihua, Zhang Lingyun, Wei Lixing. Comparison Test of Different Triticale Varieties in Winter Fallow Saline Farmland [J]. Crops, 2021, 37(4): 191-195.
[10] Song Ruijiao, Feng Caijun, Qi Juncang. Effects of Hydrogen-Rich Water on Barley Seed Germination and Barley Seedling Biomass Distribution under Drought Stress [J]. Crops, 2021, 37(4): 206-211.
[11] Liang Qian, Wu Qingshan, Ge Junzhu, Wu Xidong, Yang Yong’an, Hou Haipeng, Zhang Yao, Ma Zhiqi. Effects of Sowing Date on Rain-Fed Summer Maize Yield Formation and Resource Utilization in North China Plain [J]. Crops, 2021, 37(4): 136-143.
[12] Zhao Baoping, Liu Jinghui, Ren Changzhong. Research Progress of Physiological Mechanism of Yield Formation in Oats [J]. Crops, 2021, 37(3): 1-7.
[13] Cao Xiaoyan, Wu Ailian, Wang Jinsong, Dong Erwei, Jiao Xiaoyan. Effects of Nitrogen Fertilization on Yield, Quality and Nitrogen Utilization Efficiency of Sorghum [J]. Crops, 2021, 37(2): 108-115.
[14] Jin Jiangang, Tian Zaifang. Grey Correlation Analysis of Introduced Tartary Buckwheat in the Northern Shanxi [J]. Crops, 2021, 37(2): 52-56.
[15] Zhou Qilong. Grey Relational Grade Evaluation of 19 Oat Varieties Introduced in Ali of Tibet [J]. Crops, 2021, 37(1): 26-31.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!