Welcome Pratacultural Science,Today is 2025-4-8 Tuesday!
HUANG W, CHANG W, YU S Y, LI X Y, GAO X Q, FU B Z. Comprehensive evaluation of production performance and nutritional quality of 16 germplasm resources. Pratacultural Science, 2021, 38(11): 2237-2246 . DOI: 10.11829/j.issn.1001-0629.2021-0246
Citation: HUANG W, CHANG W, YU S Y, LI X Y, GAO X Q, FU B Z. Comprehensive evaluation of production performance and nutritional quality of 16 germplasm resources. Pratacultural Science, 2021, 38(11): 2237-2246 . DOI: 10.11829/j.issn.1001-0629.2021-0246

Comprehensive evaluation of production performance and nutritional quality of 16 Bromus inermis germplasm resources

More Information
  • Corresponding author:

    FU Bingzhe E-mail: fbzhe19@163.com

  • Received Date: April 21, 2021
  • Accepted Date: June 15, 2021
  • Available Online: August 08, 2021
  • Published Date: November 14, 2021
  • To select the Bromus inermis germplasm materials with excellent performance and nutritional quality, performance and nutritional quality indicators of 16 germplasm resources were measured and analyzed, and a comprehensive evaluation was performed using gray relational and cluster analyses. The results showed that there were significant differences in the production performance and nutritional quality of the different B. inermis germplasm materials (P < 0.05). The fresh yield of Q6, Q8, and Q2 and the hay yield of Q16 and Q4 were significantly higher than the other germplasm materials (P < 0.05), which can be used as basic materials for obtaining high grass yield. Q16 had high crude protein content, low acid detergent fiber content, high forage digestibility, and excellent nutritional quality. The leaf-stem ratios of Q2, Q4, Q10, and Q14 were significantly higher than those of the other germplasm materials (P < 0.05). The cluster analysis divided the 16 germplasm materials into four categories, and the clustering results had little relationship with the place of origin. Based on the gray correlation analysis, the leaf-stem ratio, hay yield, crude ash, and crude protein had the largest weights in the comprehensive evaluation of production performance and nutritional quality of B. inermis, which can be used as key traits in the evaluation and selection of B. inermis varieties. Q6, Q4, Q10, Q16, Q2, and Q8 had the highest correlation coefficients with ideal strains and the best comprehensive performance, and could provide the basic materials for the improvement and breeding of new B. inermis varieties.
  • [1]
    ANTONOVA E V, FUCHS J, RÖDER M S. Influence of chronic man-made pollution on Bromus inermis genome size. Russian Journal of Ecology, 2020, 51(4): 337-344. doi: 10.1134/S1067413620040025
    [2]
    MOZHGAN A, MOHAMMAD M M, SAEIDNIA F, SAJED B, AGHAFAKHR M. Genetic and physiological aspects of drought tolerance in smooth bromegrass. Crop Science, 2019, 59(6): 2601-2607. doi: 10.2135/cropsci2019.05.0288
    [3]
    张希山, 代连义, 王志杰, 祖丽菲亚, 莎丽. 禾草饲料之王: 无芒雀麦. 新疆畜牧业, 2002, 12(4): 28-29. doi: 10.3969/j.issn.1003-4889.2002.04.014

    ZHANG X S, DAI L Y, WANG Z J, Zulifeiya, SHA L. The king of grass and fodder: Bromus inermis Leyss. Xin Jiang Xu Mu Ye, 2002, 12(4): 28-29. doi: 10.3969/j.issn.1003-4889.2002.04.014
    [4]
    黄帆, 李俊, 刘磊, 师文贵, 李鸿雁, 李志勇. 无芒雀麦组织培养再生体系的建立. 植物生理学报, 2018, 54(5): 783-789.

    HUANG F, LI J, LIU L, SHI W G, LI H Y, LI Z Y. Tissue culture and regeneration of Bromus inermis. Plant Physiology Journal, 2018, 54(5): 783-789.
    [5]
    刘永新, 刘英杰, 周勤, 高磊, 方辉, 韩刚, 王玉芬, 姜秀凤, 刘海金. 牙鲆主要生长性状与体质量的灰色关联度分析. 中国水产科学, 2014, 21(2): 205-213.

    LIU Y X, LIU Y J, ZHOU Q, GAO L, FANG H, HAN G, WANG Y F, JIANG X F, LIU H J. Grey relational analysis between main growth traits and body weight in Japanese flounder (Paralichthys olivaceus). Journal of Fishery Sciences of China, 2014, 21(2): 205-213.
    [6]
    丁明亮, 赵红, 浦秋红, 崔永祯, 李宏生, 顾坚, 田玉仙, 杨木军, 李绍祥. 应用灰色关联度分析法对远缘杂交选育的小麦新品系评价. 西南农业学报, 2018, 31(2): 217-222.

    DING M L, ZHAO H, PU Q H, CUI Y Z, LI H S, GU J, TIAN Y X, YANG M J, LI S X. Multi-factorial evaluation of new wheat lines from distant hybridization by grey relational analysis method. Southwest China Journal of Agricultural Sciences, 2018, 31(2): 217-222.
    [7]
    于树涛, 于国庆, 孙泓希, 王虹, 尤淑丽, 于洪波. 东北主栽花生品种农艺性状及品质性状分析. 分子植物育种, 2019, 17(10): 3364-3370.

    YU S T, YU G Q, SUN H X, WANG H, YOU S L, YU H B. Analysis of agronomic characters and quality characters of the main peanut varieties in northeast china. Molecular Plant Breeding, 2019, 17(10): 3364-3370.
    [8]
    那亚, 渠晖, 花梅, 李峰, 乌仁曹, 李雪, 陶雅. 土默川平原不同玉米品种青贮饲料的品质比较. 中国草地学报, 2021, 43(1): 90-95.

    NA Y, QU H, HUA M, LI F, WU R C, LI X, TAO Y. Quality comparison of different corn varieties used as silage in Tumed Plain. Chinese Journal of Grassland, 2021, 43(1): 90-95.
    [9]
    贾小平, 袁玺垒, 陆平, 范丙友, 黄华, 戴凌峰. 中国71个谷子种质资源的灰色关联度分析及综合评价. 种子, 2017, 36(9): 63-66.

    JIA X P, YUAN X L, LU P, FAN B Y, HUANG H, DAI L F. Grey incidence analysis and comprehensive evaluation of 71 millet germplasm resources in China. Seed, 2017, 36(9): 63-66.
    [10]
    郑巨云, 王俊铎, 龚照龙, 梁亚军, 张泽良, 艾先涛, 郭江平, 莫明, 李雪源. 棉花品种资源花铃期抗旱性鉴定与评价. 干旱地区农业研究, 2021, 39(2): 150-163. doi: 10.7606/j.issn.1000-7601.2021.02.20

    ZHENG J Y, WANG J D, GONG Z L, LIANG Y J, ZHANG Z L, AI X T, GUO J P, MO M, LI X Y. Identification and comprehensive assessment of drought resistance of upland cotton variety resources during flower and boll stage. Agricultural Research in the Arid Areas, 2021, 39(2): 150-163. doi: 10.7606/j.issn.1000-7601.2021.02.20
    [11]
    伏兵哲, 高雪芹, 高永发, 李东宁, 张龙, 张蓉. 21个苜蓿品种主要农艺性状关联分析与综合评价. 草业学报, 2015, 24(11): 174-182. doi: 10.11686/cyxb2014541

    FU B Z, GAO X Q, GAO Y F, LI D N, ZHANG L, ZHANG R. Correlation analysis of the main agronomic traits and performance of 21 alfalfa varieties. Acta Prataculturae Sinica, 2015, 24(11): 174-182. doi: 10.11686/cyxb2014541
    [12]
    肖逸, 杨忠富, 聂刚, 韩佳婷, 帅杨, 张新全. 12个多花黑麦草品种(系)在成都平原的生产性能和营养价值综合评价. 草业学报, 2021, 30(5): 174-185. doi: 10.11686/cyxb2020447

    XIAO Y, YANG Z F, NIE G, HAN J T, SHUAI Y, ZHANG X Q. Multi-trait evaluation of yield and nutritive value of 12 Lolium multiflorum varieties or lines in Chengdu Plain. Acta Prataculturae Sinica, 2021, 30(5): 174-185. doi: 10.11686/cyxb2020447
    [13]
    郑敏娜, 李荫藩, 梁秀芝, 薛龙飞. 晋北地区引种苜蓿品种的灰色关联度分析与综合评价. 草地学报, 2014, 22(3): 631-637.

    ZHENG M N, LI Y F, LIANG X Z, XUE L F. Relation grade analysis of grey theory and comprehensive evaluation of introduced alfalfa in the north of Shanxi province. Acta Agrestia Sinica, 2014, 22(3): 631-637.
    [14]
    MENG L, WANG C, ZHANG J Q. Heat injury risk assessment for single-cropping rice in the middle and lower reaches of the Yangtze River under climate change. Journal of Meteorological Research, 2016, 30(3): 426-443. doi: 10.1007/s13351-016-5186-z
    [15]
    ZHOU B, YANG H. Economic analysis of limited water irrigation on wheat yield. Journal of Coastal Research, 2020, 104(sp1): 637-640.
    [16]
    WANG N, XING Y Y, WANG X K. Exploring options for improving potato productivity through reducing crop yield gap in Loess Plateau of China based on grey correlation analysis. Sustainability, 2019, 11(20): 5621. doi: 10.3390/su11205621
    [17]
    张丽英. 饲料分析及饲料质量检测技术(第四版). 北京: 中国农业大学出版社, 2016.

    ZHANG L Y. Feed Analysis and Quality Test Technology (Fourth Edition). Beijing: China Agricultural University Press, 2016.
    [18]
    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(3): 747-759. doi: 10.2527/jas1978.473747x
    [19]
    郭瑞林. 作物灰色育种学. 北京: 中国农业出版社, 1988: 26-40.

    GUO R L. Crop Grey Breeding. Beijing: China Agriculture Press, 1988: 26-40.
    [20]
    郑伟, 朱进忠, 加娜尔古丽. 不同混播方式豆禾混播草地生产性能的综合评价. 草业学报, 2012, 21(6): 242-251. doi: 10.11686/cyxb20120632

    ZHENG W, ZHU J Z, Jianaerguli. A comprehensive evaluation of the productive performance of legume-grass mixtures under different mixed sowing patterns. Acta Prataculturae Sinica, 2012, 21(6): 242-251. doi: 10.11686/cyxb20120632
    [21]
    贺文骅, 崔国文, 崔新, 刘省勇, 李冰. 紫花苜蓿与无芒雀麦不同混播比例对青贮品质的影响. 草地学报, 2017, 25(2): 407-414.

    HE W H, CUI G W, CUI X, LIU S Y, LI B. Effect of mix-sowing ratios of Medicago sativa L. and Bromus inermis Leyss. on silage quality. Acta Agrestia Sinica, 2017, 25(2): 407-414.
    [22]
    宫珂, 靳瑰丽, 李陈建, 岳永寰, 王惠宁, 韩万强. 天山北坡野生无芒雀麦的表型性状. 生态学杂志, 2019, 38(9): 2615-2621.

    GONG K, JIN G L, LI C J, YUE Y H, WANG H N, HAN W Q. Phenotypic traits of Bromus inermis on the northern slope of Tianshan Mountains. Chinese Journal of Ecology, 2019, 38(9): 2615-2621.
    [23]
    张凡凡, 于磊, 马春晖, 张前兵, 鲁为华. 绿洲区滴灌条件下施磷对紫花苜蓿生产性能及品质的影响. 草业学报, 2015, 24(10): 175-182. doi: 10.11686/cyxb2014467

    ZHANG F F, YU L, MA C H, ZHANG Q B, LU W H. Effect of phosphorus application under drip irrigation on the productivity and quality of alfalfa in Northern Xinjiang. Acta Prataculturae Sinica, 2015, 24(10): 175-182. doi: 10.11686/cyxb2014467
    [24]
    徐丽君, 杨桂霞, 陈宝瑞, 辛晓平, 乌恩奇, 青格勒, 朱树声. 不同苜蓿(品)种营养价值的比较. 草业科学, 2013, 30(4): 556-570.

    XU L J, YANG G X, CHEN B R, XIN X P, Wuenqi, Qinggele, ZHU S S. Comprehensive evaluation of nutritional values of different alfalfa species and varieties. Pratacultural Science, 2013, 30(4): 556-570.
    [25]
    白玉婷, 卫智军, 闫瑞瑞, 乌仁其其格, 代景忠, 王天乐, 姚静, 孙世贤. 施肥对羊草割草地牧草产量及品质的影响. 中国草地学报, 2017, 39(4): 60-66.

    BAI Y T, WEI Z J, YAN R R, Wurenqiqige, DAI J Z, WANG T L, YAO J, SUN S X. Effects of fertilizer application on the yield of forage and nutrient content in Leymus chinensis mowing meadow. Chinese Journal of Grassland, 2017, 39(4): 60-66.
    [26]
    马啸, 周朝杰, 张成林, 孙铭, 郭志慧, 王小利, 张建波. 扁穗雀麦种质资源形态和农艺性状变异的初步分析. 草地学报, 2015, 23(5): 1048-1056.

    MA X, ZHOU C J, ZHANG C L, SUN M, GUO Z H, WANG X L, ZHANG J B. Patterns of morphological variation and agronomic traits in a worldwide sample of prairie grass germplasm. Acta Agrestia Sinica, 2015, 23(5): 1048-1056.
    [27]
    孙铭, 雷雄, 张新全, 张成林, 伍文丹, 赵文达, 杨晓鹏, 马啸. 扁穗雀麦优良品系数量性状的变异分析及遗传参数评估. 草业学报, 2018, 27(1): 131-141. doi: 10.11686/cyxb2017260

    SUN M, LEI X, ZHANG X Q, ZHANG C L, WU W D, ZHAO W D, YANG X P, MA X. Assessment of genetic variability in prairie grass. Acta Prataculturae Sinica, 2018, 27(1): 131-141. doi: 10.11686/cyxb2017260
    [28]
    杨成前, 雷美艳, 杨天建, 余中莲, 全健, 杨娟, 蒲盛才. 白术栽培群体的主要农艺性状相关性及聚类分析. 分子植物育种, 2019, 17(17): 5852-5859.

    YANG C Q, LEI M Y, YANG T J, YU Z L, QUAN J, YANG J, PU S C. Agronomic character and cluster analysis in cultivated populations of Atractylodes macrocephala. Molecular Plant Breeding, 2019, 17(17): 5852-5859.

Catalog

    Article views (1810) PDF downloads (55) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return