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Maturity group classification and the genotyping of maturity genes in Chinese soybean MCC.

Figshare2017-02-17 更新2026-04-29 收录

数据链接：

https://figshare.com/articles/dataset/Maturity_group_classification_and_the_genotyping_of_maturity_genes_in_Chinese_soybean_MCC_/4660933 数据链接链接失效反馈

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资源简介：

Maturity group classification and the genotyping of maturity genes in Chinese soybean MCC.

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创建时间：

2017-02-17

大豆遗传育种

代谢物QTL定位

Additional file 4: Table S14. mQTLs for lipids in soybean seed using genome-wide composite interval mapping (GCIM), inclusive composite interval mapping (ICIM), and multi-locus GWAS.

Figshare2022-09-09 更新110

Additional file 4: of Genome-wide associations and epistatic interactions for internode number, plant height, seed weight and seed yield in soybean

大豆遗传育种

全基因组关联分析

Genes within GWAS regions along with gene annotations. Genes are given for regions defined by two methods: by flanking non-significant markers around significant SNP(s), and within a window defined by

NIAID Data Ecosystem70

Table_4_Identification of loci governing soybean seed protein content via genome-wide association study and selective signature analyses.xlsx

大豆遗传育种

蛋白质定位

Soybean [Glycine max (L.) Merr.] is an excellent source of protein. Understanding the genetic basis of protein content (PC) will accelerate breeding efforts to increase soybean quality. In the present

NIAID Data Ecosystem50

Additional file 3: of Genome wide association mapping and candidate gene analysis for hundred seed weight in soybean [Glycine max (L.) Merrill]

大豆遗传育种

性状基因定位

Gene-based association study on 100-seed weight of soybean with 281 candidate genes. (XLS 35 kb)

NIAID Data Ecosystem100

Table_3_Quantitative Trait Locus Analysis of Protein and Oil Content in Response to Planting Density in Soybean (Glycine max [L.] Merri.) Seeds Based on SNP Linkage Mapping.docx

大豆遗传育种

作物品质性状QTL分析

Soybean varieties suitable for high planting density allow greater yields. However, the seed protein and oil contents, which determine the value of this crop, can be influenced by planting density. Th

NIAID Data Ecosystem50

Maturity group classification and the genotyping of maturity genes in Chinese soybean MCC.

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