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数值分类 meaning in English

numeric taxonomy
numerical classification
numerical taxonomy

Examples

  1. The use of less skilled labour for numerical classification is a real possible advantage .
    数值分类需要较少的专门技术,这真正是一个潜在的优点。
  2. Seaside saline soil of neo - delta of yellow river and its exploitation and utilization
    黄淮海平原土壤盐渍化状况的数值分类
  3. Study on quantitative classification and regionalization of panax notoginseng based on tcmgis
    三七产地适宜性数值分类与区划研究
  4. Were studied together with the reference strains of recognized rhizobium and bradyrhizobiwn species by performing polyphasic taxonomy , including numerical taxonomy , rep - pcr fingerprinting , 16s rdna pcr - rflp . the result show that : the growth rate of rhizobia isolated from the root nodules of pueraria spp . showed great diversity . ccbau41147 ccbau6110 k ccbau61096 and ccbau61095 were fast - growing strains , the single colony size was bigger than 1mm after 2 days incubated oq yma medium at 28 they can produce acid . the other strains were slow - growing strains , their single colony size was less than 1 mm after 7 days incubated on yma medium at 28 . they can produce alkali
    本研究以从我国四川、河南、安徽和湖南等地分离的32株葛藤根瘤菌为研究对象,以20株已知种的根瘤菌为参比菌株,采用数值分类、 rep - pcr指纹分析、 16srdnapcr - rflp指纹分析等现代根瘤菌分类技术,初步研究了葛藤根瘤菌的生物多样性和分类地位,结果表明:葛藤根瘤菌在生长速率上表现出多样性,菌株ccbau41147 、 ccbau61096 、 ccbau61101和ccbau61095生长较快, yma培养基上28培养2 - 3天后,单个菌落直径大于1mm ,具有产酸能力,是快生型葛藤根瘤菌;其余待测葛藤根瘤菌生长较慢, yma培养基上28培养7天后,单个菌落直径小于1mm ,具有产碱能力,是慢生型葛藤根瘤菌。
  5. The result of numerical taxonomy indicated that there were high phenotypic diversity among the strains isolated from the root nodules of pueraria spp . it can been seen in utilization of carbon and nitrogen sources , antibiotic resistance , resistance to dyes and chemicals , tolerance to acid , acid production , alkali production , nitrate reduction et al . the dendrogram divided all the strains into
    数值分类对所有供试菌株进行了131项表型性状的测定,结果表明,葛藤根瘤菌具有丰富的表型多样性,表现在利用多种化合物作为唯一碳源、氮源能力,对抗生素、染料和化学药物的抗性,耐酸性,产酸产碱情况,硝酸还原能力等方面。
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Related Words

  1. 数值数值量
  2. 低数值
  3. 记数值
  4. 数值变换
  5. 数值校验
  6. 数值偏心
  7. 数值例
  8. 理论数值
  9. 数值格式
  10. 数值编码
  11. 数值方法与数字仿真
  12. 数值放样
  13. 数值分类的,边线图解
  14. 数值分类法
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