Supplemental Material for Ozimati et al, 2018

Figshare2018-10-23 更新2026-04-29 收录

作物遗传育种

基因型-表型关联分析

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Figures S1 - S7 and Tables S1 - S14 available in DOCX. All raw phenotype and genotype data provided in ZIP.

创建时间：

2018-10-23

Data_Sheet_3_A Genome-Wide Association Study of Coleoptile Length in Different Chinese Wheat Landraces.PDF

作物遗传育种

全基因组关联分析

From the perspective of wheat yield improvement, the coleoptile is vital for successful crop establishment, and long coleoptile lengths (CLs) are preferred in wheat-growing regions where deep planting

NIAID Data Ecosystem60

Additional file 4 of Genome-wide association mapping and genomic prediction analyses reveal the genetic architecture of grain yield and agronomic traits under drought and optimum conditions in maize

作物遗传育种

全基因组关联分析

Supplementary Material 4: Supplementary Table S1. Detailed information about pedigree of 236 lines and groupings based on markers used in the study. Supplementary Table S2. Summary of SNPs distributio

Figshare2025-02-01 更新40

Significant marker-trait associations identified by the FarmCPU algorithm.

全基因组关联分析

作物遗传育种

Significant marker-trait associations identified by the FarmCPU algorithm.

Figshare2019-02-22 更新30

Additional file 9 of Genetic dissection of heat-responsive physiological traits to improve adaptation and increase yield potential in soft winter wheat

作物遗传育种

产量性状遗传

Additional file 9. Summary of significant pleiotropic MTAs associated with PTs, GY and other yield related traits.

Figshare2024-02-09 更新60

Selection of S3 progenies of super sweet corn based on agronomic performance of topcrosses

作物遗传育种

超甜玉米性状选优

ABSTRACT The aim of this study was to select S3 progenies of super sweet corn based on agronomic performance, evaluated in topcrosses with the narrow genetic base tester Honey Sweeter (Seminis®). The

NIAID Data Ecosystem40

Supplemental Material for Ozimati et al, 2018

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