Imputation of low‐density marker chip data in plant breeding: Evaluation of methods based on sugar beet-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Imputation of low‐density marker chip data in plant breeding: Evaluation of methods based on sugar beet

Published:2022-10-18 Issue:4 Volume:15 Page:
ISSN:1940-3372
Container-title:The Plant Genome
language:en
Short-container-title:The Plant Genome

Author:

Niehoff Tobias¹²^ORCID,Pook Torsten¹³⁴^ORCID,Gholami Mahmood⁵,Beissinger Timothy²⁴^ORCID

Affiliation:

1. Animal Breeding and Genomics Wageningen Univ. & Research Postbox 338, 6700AH Wageningen The Netherlands

2. Dep. of Crop Sciences, Division of Plant Breeding Methodology Univ. of Göttingen Göttingen 37075 Germany

3. Dep. of Animal Sciences, Animal Breeding and Genetics Group Univ. of Göttingen Göttingen 37075 Germany

4. Center for Integrated Breeding Research Univ. of Göttingen Göttingen 37075 Germany

5. RD‐SBCE‐BTA, KWS SAAT SE & Co. KGaA Grimsehlstr. 31 Einbeck 37574 Germany

Publisher

Wiley

Subject

Plant Science,Agronomy and Crop Science,Genetics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/tpg2.20257

Reference53 articles.

1. Imputation of 3 million SNPs in the Arabidopsis regional mapping population

2. Accuracy and Training Population Design for Genomic Selection on Quantitative Traits in Elite North American Oats

3. Marker Density and Read Depth for Genotyping Populations Using Genotyping-by-Sequencing

4. Fast two-stage phasing of large-scale sequence data

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improvement Technologies for Data Imputation in Bioinformatics;Technologies;2023-11-01

2. Best practices for genotype imputation from low‐coverage sequencing data in natural populations;Molecular Ecology Resources;2023-08-21

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3