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Table_1_Transgressive Potential Prediction and Optimal Cros..:

Weidan Feng ; Lianshun Fu ; Mengmeng Fu...
doi:10.3389/fpls.2022.896549.s002. , 2022

Link: https://doi.org/10.3389/fpls.2022.896549.s002

RT Journal
T1 <Title>Table_1_Transgressive Potential Prediction and Optimal Cross Design of Seed Protein Content in the Northeast China Soybean Population Based on Full Exploration of the QTL-Allele System.DOCX</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftfrontimediafig:oai:figshare.com:article_20292069&Exemplar=1&LAN=DE
				
A1 Weidan Feng
A1 Lianshun Fu
A1 Mengmeng Fu
A1 Ziqian Sang
A1 Yanping Wang
A1 Lei Wang
A1 Haixiang Ren
A1 Weiguang Du
A1 Xiaoshuai Hao
A1 Lei Sun
A1 Jiaoping Zhang
A1 Wubin Wang
A1 Guangnan Xing
A1 Jianbo He
A1 Junyi Gai
YR 2022
K1 Botany
K1 Plant Biology
K1 Plant Systematics and Taxonomy
K1 Plant Cell and Molecular Biology
K1 Plant Developmental and Reproductive Biology
K1 Plant Pathology
K1 Plant Physiology
K1 Plant Biology not elsewhere classified
K1 Northeast China soybean germplasm population (NECSGP)
K1 seed protein content (SPC)
K1 restricted two stage multi-locus model GWAS (RTM-GWAS)
K1 QTL-allele matrix
K1 optimal cross prediction
K1 transgressive potential
JF doi:10.3389/fpls.2022.896549.s002
LK http://dx.doi.org/https://doi.org/10.3389/fpls.2022.896549.s002
DO https://doi.org/10.3389/fpls.2022.896549.s002
SF ELIB - SuUB Bremen

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