1) genotypic recurrent selection
基因型轮回选择
3) Phenotypic recurrent selection
表型轮回选择
4) recurrent selection
轮回选择
1.
The experiment got offspring of salt tolerant alfalfa by double recurrent selection and one massed selection,then chose 106 good individual plants from them and mensurated the general combining ability of salt-tolerance.
经过二代轮回选择和一代混合选择得到的70个耐盐优株相互杂交的后代群体为材料,在含盐量为0。
2.
In order to shorten core length and maintain average head weight,two cycles of recurrent selection were conducted in initial cabbage population C0 derived from fourteen cabbage hybrids.
由14个杂交品种F1合成了C0群体,以改良中心柱性状同时兼顾单球重为目标,进行两轮轮回选择。
3.
Four japonica restorer lines with the restoring genes for the genetic-cytoplasmic male sterility including Jijing 85,Ji 524,E180 and E385 have been successfully developed through the breeding method of recurrent selection,using eight japonica PTGMS lines and 28 elite japonica varieties or lines selected from the north cold rice growing area in China as the breeding materials.
利用8份光温敏核不育粳稻材料及28份北方寒冷稻作区优良粳稻品种(系)作为原始亲本开展轮回选择育种,育成了吉粳85、吉524、E180和E385等4个具有三系恢复基因的粳型恢复系。
5) genotype selection model
基因选择模型
1.
Global attractivity of a genotype selection model;
基因选择模型的全局吸引性
2.
This paper,by using Mawhin s Coincidence degree theory studies the existence of a positive periodic solution to the following genotype selection model and obtains a new sufficient condition for the existence of positive periodic solution of the difference model.
利用Mawhin重合度理论研究了一类基因选择模型的正周期解的存在性,获得了该差分系统存在正周期解的新的充分条件。
3.
In this pper,by using Mawhin s Coincidence degree theory,we study the existence of a positive periodic solution to the following genotype selection modelxn+1=(xnexp[βn(1-αxn-k)])/(1-xn+xnexp[βn(1-αxn-k)]),n=0,1,2,…and obtain a new sufficient condition for the existence of positive periodic solution of the difference model.
利用Mawhin重合度理论研究了一类基因选择模型:xn+1=(xnexp[βn(1-αxn-k)])/(1-xn+xnexp[βn(1-αxn-k)]),n=0,1,2,…正周期解的存在性,获得了该差分系统存在正周期解的新的充分条件。
6) Gene selection
基因选择
1.
Discriminatory Gene Selection for Cancer Diagnosis of Multi-class Situation with SVM;
基于SVM的多病类诊断基因选择方法研究
2.
Gene Selection and Cancer Classification Based on Optimization Algorithm and Support Vector Machine;
基于优化算法的基因选择与癌症分类
3.
A simple effective gene selection method based on tumor gene expression data
基于肿瘤基因表达数据的简单有效的基因选择算法(英文)
补充资料：轮回选择
见杂种优势利用（植物）。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条