AFLP has been emerged as a major new type of genetic marker with broad application in systematic, pathology, population genetics, DNA fingerprinting and quantitative trait loci (QTL) mapping.
AFLP已广泛应用于分类学、病理学、种群遗传学、DNA指纹分析的研究和建立数量性状基因图谱,成为最主要的遗传标记。
Amplified Fragment Length polymorphism (AFLP) is called a "descendant molecular marker", and it is a new technique in detecting DNA polymorphism.
扩增片段长度多态性(AFLP)被称为“下一代分子标记”,是检测DNA多态性的一种新技术。
Compared the selective efficiency of RAPD, RFLP and AFLP markers in genetic background selection, AFLP marker was found to be the ideal one.
对实施背景选择的RAPD、RFLP和AFLP标记进行了比较,认为AFLP标记是一种理想的辅助背景选择的分子标记。
Molecular markers such as RFLP, RAPD, AFLP and SSR have characteristics of overcoming the defects of the classic genetic markers, and can be utilized extensively in molecular assisted breeding.
以RFLP、RAPD、AFLP和SSR为主的分子标记各具特色,克服了传统遗传标记的缺陷,在分子标记辅助育种中已得到广泛的应用。
AFLP marker is a new kind of technique, which is widely applied in the molecular biology, high mammal and plants in recent years.
(扩增片段长度多态性)是一种新型的分子标记技术,目前已广泛应用于分子生物学及动植物育种等领域的研究。
The main results are as follows: (1) The efficiency of AFLP marker used for construction of tomato genetic map was evaluated.
主要研究结果如下: (1)对于AFLP 标记方法用于图谱构建的效率进行了评价。
SSR can be expected to complement existing RFLP, RAPD, AFLP maps, and are useful for genotype identification. gene and QTL analysis, marker assisted selection in breeding and pedigree analysis.
林木的微卫星标记可扩充现有的RFLP、RAPD、AFLP遗传图谱,以及QTL分析,并应用于基因型鉴别,分子标记辅助选择育种。
In recent years, the AFLP molecular markers technology has been applied to the study of the sweetpotato genetics and breeding.
近年来,AFLP分子标记技术已经逐步应用于甘薯的遗传育种研究中。
In recent years, the application of molecular markers such as RAPD, AFLP, and RFLP markers have speeded up the step of olive genetic resource and breeding study.
近年来,RAPD、AFLP和RFLP等分子标记技术的应用,加速了油橄榄种质资源和育种研究的步伐。
AFLP techniques were used to identify molecular markers tightly linked to the rust resistance gene.
对南方玉米锈病抗病基因进行AFLP分析,以寻找更加紧密连锁的AFLP标记。
In this paper, AFLP was used to detect feather color trait in mule duck and its female parent Beijing duck.
本研究初步利用AFLP标记对半番鸭及其母本-北京鸭进行检测。
AFLP is a newly developed DNA molecular marker technology.
AFLP分子标记技术是一种最新的DNA指纹技术。
Problems and prospects in AFLP molecular marker are briefly discussed.
同时还对AFLP分子标记技术存在的问题和前景作了简要探讨。
The most common used DNA molecular marker techniques, RFLP, RAPD, AFLP and SSR, and the USES of these markers in the research with regard to late blight in potatoes were introduced in this paper.
重点介绍了四种常用的分子标记技术RFLP、RAPD、AFLP和SSR,以及国内外利用这些标记技术在马铃薯晚疫病研究中的应用。
The results show that AFLP clustering were approximately consistent with morphological taxonomy on group and branch partition.
结果表明,AFLP分子标记在种系和类的划分上基本与传统的形态学分类一致。
Both karyotype analysis and AFLP technique were efficient in generating more accurate information on the genetic diversity and relationship of Lycoris.
核型分析方法和AFLP分子标记技术均能够有效区分石蒜属植物种间亲缘关系的远近。
The average site produced by each SSR primer was 8.6, but the average site produced by each AFLP primer combination was 68.67.
SSR标记平均每对引物产生8.6个等位位点,而AFLP标记平均每对引物组合产生68.67个等位位点。
The clustered groups of AMF DNA by AFLP marker from the roots of different cultivars of P. mume were not equal to cultivar groups.
根据AFLP标记结果聚类,梅品种根系内amf基因组dna的聚类类别与梅品种的“品种群”这一分类级别无相关关系。
The AFLP marker was used to analyse the genetic variation among different samples which were rearing 21 months, 29 months and 36 months separately collected from 5 host plants.
本文采用AFLP分子标记,以来自同一母体种群并在5种寄主植物上隔离饲养21个月、29个月和36个月的烟粉虱种群为样本,分析不同寄主和不同饲养时间样本的遗传变异。
Results the rates of the polymorphic loci and the genetic similar index of population by RAPD marker were 26.98% and 0.942 respectively, and that by 31.4% AFLP and 0.874 respectively.
结果RAPD标记检测得到的群体遗传相似系数和多态位点比率分别为0.942和26.98%;aflp标记检测得到的群体遗传相似系数和多态位点比率分别为0.874和31.4%。
Results the rates of the polymorphic loci and the genetic similar index of population by RAPD marker were 26.98% and 0.942 respectively, and that by 31.4% AFLP and 0.874 respectively.
结果RAPD标记检测得到的群体遗传相似系数和多态位点比率分别为0.942和26.98%;aflp标记检测得到的群体遗传相似系数和多态位点比率分别为0.874和31.4%。
应用推荐