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Genetic study and molecular breeding for high phosphorus use efficiency in maize

Dongdong LI, Meng WANG, Xianyan KUANG, Wenxin LIU

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 4, Pages 366-379 doi: 10.15302/J-FASE-2019278

Abstract: Thus, dissecting the genetic architecture of crop PUE, mining related quantitative trait loci (QTL) andBased on this, a breeding strategy applying genomic selection as the core, and integrating the existing genetic

Keywords： maize phosphorus use efficiency quantitative trait loci genetic study molecular breeding genomic selection

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The genetics of Beh?et’s disease in a Chinese population

Shengping Hou, Aize Kijlstra, Peizeng Yang

Frontiers of Medicine 2012, Volume 6, Issue 4, Pages 354-359 doi: 10.1007/s11684-012-0234-2

Abstract: Although the precise pathogenesis and etiology is still a mystery, accumulating evidence shows that geneticTo explore the genetic factors for Beh?These genetic predisposition studies support an important role for both lymphocyte differentiation as

Keywords： et’s disease SNPs immune gene genetic study

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Study on Family Collection, Gene Mapping, Gene Identification and Gene Function of Human Genetic Diseases

Xia Jiahui

Strategic Study of CAE 2000, Volume 2, Issue 11, Pages 1-11

Abstract:

In this paper, the study on family collection, gene mapping, gene identification and gene functionof human genetic diseases carried out in the National Laboratory of Medical Genetics of China, wereSince 1991, 590 families with 345 kind of genetic diseases were collected.In 1998, GJB3, a human genetic neurological deafness gene, was identified using a novel strategy of &2 - 24. 1; and at the same year a novel protein trafficking gene was also cloned from gene function study

Keywords： genetic disease gene mapping and cloning gene familiy-candidate disease gene cloning genome wide scan gene function study

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Genetic variability of Appaloosa horses: a study of a closed breeding population from Argentina

Claudia Malena CORBI-BOTTO,Sebastian Andres SADABA,Elina Ines FRANCISCO,Paula Belen KALEMKERIAN,Juan Pedro LIRON,Egle Etel VILLEGAS-CASTAGNASSO,Guillermo GIOVAMBATTISTA,Pilar PERAL-GARCIA,Silvina DIAZ

Frontiers of Agricultural Science and Engineering 2014, Volume 1, Issue 3, Pages 175-178 doi: 10.15302/J-FASE-2014019

Abstract: The genetic diversity and structure of 72 Appaloosa horses belonging to a closed breeding populationOur data showed that this Appaloosa horse population had an elevated degree of genetic diversity (He=Genetic relationships between this population and other well known horse breeds showed that AppaloosaThis closed breeding population conserves an important degree of Appaloosa genetic diversity and notwithstandingits particular breeding characteristics, represents a valuable genetic resource for conservation.

Keywords： horse genetic diversity microsatellite Appaloosa population structure conservation

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Study on area forecast of coal and gas outburst based on coupling of neural network and genetic algorithm

Shi Shiliang,Wu Aiyou

Strategic Study of CAE 2009, Volume 11, Issue 9, Pages 91-96

Abstract: model of the coal and gas outburst was established based on coupling of the neural network and the geneticThe coupling forecast model was validated with the practical example.The study results has proved thefoundation of the area forecast of the coal and gas outburst based on coupling of the neural network and genetic

Keywords： coal and gas outburst area forecast neural network genetic algorithm isoneph of outburst

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Machine learning modeling identifies hypertrophic cardiomyopathy subtypes with genetic signature

Frontiers of Medicine 2023, Volume 17, Issue 4, Pages 768-780 doi: 10.1007/s11684-023-0982-1

Abstract: By employing echocardiography and genetic screening for the 46 genes, HCM can be classified into two

Keywords： machine learning methods hypertrophic cardiomyopathy genetic risk

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Study of Topology Control Based on Genetic Algorithm in Wireless Sensor Networks

Liu Linfeng,zhuanyanyan,Liu Ye

Strategic Study of CAE 2008, Volume 10, Issue 2, Pages 66-71

Abstract: the problem was transformed into a model of multi-criteria minimum spanning tree ultimately, and a geneticA topology control method based on genetic alg orithm was proposed in this paper.

Keywords： wireless sensor network topology control multi-criteria minimum spanning tree problems genetic algorithm

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Interplay between diet and genetic susceptibility in obesity and related traits

Tiange Wang, Min Xu, Yufang Bi, Guang Ning

Frontiers of Medicine 2018, Volume 12, Issue 6, Pages 601-607 doi: 10.1007/s11684-018-0648-6

Abstract: Longitudinal studies and randomized intervention trials have shown that genetic susceptibility to obesity

Keywords： diet genetic susceptibility obesity interaction

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Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4, Pages 863-889 doi: 10.1007/s11709-019-0523-9

Abstract: This study concerns with the design optimization of steel skeletal structures thereby utilizing bothFor this purpose, the enhanced genetic algorithm methodology named EGAwMP is utilized as an optimizationThe evolutionary search mechanism of EGAwMP is constituted on the basis of generational genetic algorithminto sub-populations and using of a radial basis neural network for dynamically adjustment of EGAwMP’s genetic

Keywords： design optimization genetic algorithm multiple populations neural network

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Research progress on genetic improvement of

Chuanping YANG

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 4, Pages 391-401 doi: 10.15302/J-FASE-2017183

Abstract: Over the past 30 years, effective progress has been made in genetic improvement and molecular breedingmolecular markers were developed and the high density genetic map constructed.All this research has provided a model and data for the foundation of forest genetic improvement and

Keywords： Betula platyphylla genetic improvement molecular breeding seed orchard

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Genetic Study Identifies CBLN4 as a Novel Susceptibility Gene for Accident Proneness

Shu-lin Zhang,Hui-qing Jin,Yang Song,Wan-sheng Yu,Liang-dan Sun

Frontiers of Engineering Management 2016, Volume 3, Issue 1, Pages 30-38 doi: 10.15302/J-FEM-2016008

Abstract: The authors performed genome-wide association study (GWAS) by 179 cases and 179 controls using the U.S

Keywords： accident proneness genome-wide association study (GWAS) dopamine (DA) ACTH susceptibility gene traffic

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Genomics and genetic breeding in aquatic animals: progress and prospects

Wenteng XU, Songlin CHEN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3, Pages 305-318 doi: 10.15302/J-FASE-2017154

Abstract: focuses on dissection of genome structure and function to provide a molecular basis for understanding the geneticprogress of aquatic animals in nine aspects, including WGS and fine mapping, construction of high density genetic

Keywords： aquaculture genomics genetic breeding progress

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Search-and-replace editing of genetic information

Yao LIU, Xingxu HUANG, Xiaolong WANG

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 2, Pages 231-232 doi: 10.15302/J-FASE-2020322

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Chao SUN, Meng LAI, Shougong ZHANG, Xiaomei SUN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 4, Pages 482-492 doi: 10.15302/J-FASE-2017184

Abstract: With the aim of performing efficient early selection for wood properties, we investigated genetic variationAfter the age of 6, genetic correlations were generally higher than phenotypic correlations.

Keywords： early selection genetic variation wood properties SilviScan Larix kaempferi

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Optimal design of steel portal frames based on genetic algorithms

CHEN Yue, HU Kai

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 4, Pages 318-322 doi: 10.1007/s11709-008-0055-1

Abstract: set of constraints of the Technical Specification for Light-weighted Steel Portal Frames of China, a geneticFinally, some examples illustrate the effectiveness and efficiency of the genetic-algorithm-based optimal

Keywords： satisfactory genetic-algorithm-based Technical Specification algorithm efficiency