Genetic loci and causal genes for seed fatty acids accumulation across multiple environments and genetic backgrounds in soybean-Reference-Cited by-同舟云学术

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Genetic loci and causal genes for seed fatty acids accumulation across multiple environments and genetic backgrounds in soybean

Published:2021-05 Issue:5 Volume:41 Page:
ISSN:1380-3743
Container-title:Molecular Breeding
language:en
Short-container-title:Mol Breeding

Author:

Li Xihuan,Tian Rui,Shao Zhenqi,Zhang Hua,Chu Jiahao,Li Wenlong,Kong Youbin,Du Hui,Zhang Caiying^ORCID

Funder

Hebei Province Key Research and Development Project

Hebei Province Modern Agricultural Industry Technology System Innovation Team Project

Publisher

Springer Science and Business Media LLC

Subject

Plant Science,Genetics,Agronomy and Crop Science,Molecular Biology,Biotechnology

Link

https://link.springer.com/content/pdf/10.1007/s11032-021-01227-y.pdf

Reference37 articles.

1. Akond M, Liu SM, Boney M, Kantartzi SK, Meksem K, Bellaloui N, Lightfoot DA, Kassem MA (2014) Identification of quantitative trait loci (QTL) underlying protein, oil, and five major fatty acids’ contents in soybean. Am J Plant Sci 5:158–167

2. Amin N, Ahmad N, Wu N, Pu XM, Ma T, DuYY, Bo XX, Wang N, Sharif R, Wang PW (2019) CRISPR-Cas9 mediated targeted disruption of FAD2–2 microsomal omega-6 desaturase in soybean (Glycine max.L). BMC Biotechnol 19:9

3. Bachlava E, Dewey RE, Burton JW, Cardinal AJ (2009) Mapping and comparison of quantitative trait loci for oleic acid seed content in two segregating soybean populations. Crop Sci 49:433–442

4. Brummer EC, Graef GL, Orf J, Wilcox JR, Shoemaker RC (1997) Mapping QTL for seed protein and oil content in eight soybean populations. Crop Sci 37:370–378

5. Cao YC, Li SG, Wang ZL, Chang FG, Kong JJ, Gai JY, Zhao TJ (2017) Identification of major quantitative trait loci for seed oil content in soybeans by combining linkage and genome-wide association mapping. Front Plant Sci 8:1222

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3. Applications of Genomic Tools in Plant Breeding: Crop Biofortification;International Journal of Molecular Sciences;2022-03-13

4. Exploring the genic resources underlying metabolites through mGWAS and mQTL in wheat: From large-scale gene identification and pathway elucidation to crop improvement;Plant Communications;2021-07

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