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|Table of Contents|

异速生长的QTL定位模型及一因多效性扩展(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2014年03期
Page:
35-39
Column:
研究论文
publishdate:
2014-05-15

Article Info:/Info

Title:
A novel QTL mapping model for allometric growth and pleiotropic extension
Article ID:
1000-2006(2014)03-0035-05
Author(s):
LI Jie1WANG Zhong2*LI Yongci3*GAI Junyi4HUANG Zhongwen5WU Rongling2
1. College of Forestry,Beijing Forestry University,Beijing 100083,China;
2. College of Biology,Beijing Forestry University,Beijing 100083, China;
3. College of Science,Beijing Forestry University,Beijing 100083,China;
4.College of Agronomy,Nanjing Agricultural University,Nanjing 210095,China;
5. Department of Agronomy,Henan Institute of Science and Technology,Xinxiang 453003,China
Keywords:
allometric growth functional mapping soybean biomass QTL mapping
Classification number :
S722;
DOI:
10.3969/j.issn.1000-2006.2014.03.007
Document Code:
A
Abstract:
Allometric growth has been widely studied as an important law in biology. In order to reveal allometric growth and its pleiotropism, a new model is proposed to map the QTL which is related to allometric growth based on the framework of functional mapping in this paper. Using this model, a soybean population of recombinant inbred lines(RIL)is demonstrated to analyze the QTLs which affect allometric growth between leaf biomass and total weight. The QTLs in the 24th linkage groups detected by this model are testified by the Logistic model to find out pleiotropism. This extended model improves the accuracy of QTL mapping and estimate of the parameters of allometric growth by means of two merits, which the dynamic traits of biological growth processes are conceived and multiple time points in the experimental data are employed.

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Last Update: 2014-05-15