Genomic_information_Plant_Methods_Radimax_2023

NIAID Data Ecosystem2026-05-01 收录

基因组预测

大麦性状分析

数据链接：

https://doi.org/10.7910/DVN/W1QIJR 数据链接链接失效反馈

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资源简介：

The data presented contains the genomic information after quality control of lines used in the article: Genomic prediction for root and yield traits of barley under a water availability gradient. A case study comparing different spatial adjustments

创建时间：

2023-10-20

Additional file 4 of Genomic prediction models for traits differing in heritability for soybean, rice, and maize

基因组预测

遗传学

Additional file 4. Zip file containing R scripts used in this study.

DataCite Commons2022-02-27 更新90

Data from: The impact of variable degrees of freedom and scale parameters in Bayesian methods for genomic prediction in Chinese Simmental beef cattle

基因组预测

贝叶斯方法

Three conventional Bayesian approaches (BayesA, BayesB and BayesCπ) have been demonstrated to be powerful in predicting genomic merit for complex traits in livestock. A priori, these Bayesian models a

DataONE2016-05-04 更新50

Phenotypic drought stress prediction of European beech (Fagus sylvatica) by genomic prediction and remote sensing

林木胁迫响应

基因组预测

Current climate change species response models usually do not include evolution. We integrated remote sensing with population genomics to improve phenotypic response prediction to drought stress in th

NIAID Data Ecosystem00

Additional file 2 of Genomic prediction using machine learning: a comparison of the performance of regularized regression, ensemble, instance-based and deep learning methods on synthetic and empirical data

基因组预测

机器学习

Additional file 2. R codes used to fit the ML algorithms to the simulated (animal breeding) dataset. Includes six R files: one for the simple regularized methods, one for the adaptive regularized meth

DataCite Commons2024-08-18 更新60

Table_4_Detecting the QTL-Allele System of Seed Oil Traits Using Multi-Locus Genome-Wide Association Analysis for Population Characterization and Optimal Cross Prediction in Soybean.XLSX

大豆油品质QTL定位

基因组预测

Soybean is one of the world's major vegetative oil sources, while oleic acid and linolenic acid content are the major quality traits of soybean oil. The restricted two-stage multi-locus genome-wide as

NIAID Data Ecosystem30

Genomic_information_Plant_Methods_Radimax_2023

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