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Additional file 3 of Evaluation of genomic and phenomic prediction for application in apple breeding

Figshare2025-01-24 更新2026-04-28 收录

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https://figshare.com/articles/dataset/Additional_file_3_of_Evaluation_of_genomic_and_phenomic_prediction_for_application_in_apple_breeding/28279583 数据链接链接失效反馈

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资源简介：

Supplementary Material 3: Additional file 3: Supplementary tables

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创建时间：

2025-01-24

基因组预测

贝叶斯统计

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

DataCite Commons2025-04-01 更新80

GPTransformer: A transformer-based deep learning method for predicting Fusarium related traits in barley.. GPTransformer: A transformer-based deep learning method for predicting Fusarium related traits in barley.

基因组预测

镰刀菌头枯病抗性预测

Fusarium head blight (FHB) incited by Fusarium graminearum Schwabe is a devastating disease of barley and other cereal crops worldwide. Fusarium head blight is associated with trichothecene mycotoxins

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Data_Sheet_4_Using Local Convolutional Neural Networks for Genomic Prediction.CSV

基因组预测

农业育种优化

The prediction of breeding values and phenotypes is of central importance for both livestock and crop breeding. In this study, we analyze the use of artificial neural networks (ANN) and, in particular

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Performance on the VEST-indel test set for frameshift variations.

基因组预测

移码功能评估

Performance on the VEST-indel test set for frameshift variations.

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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

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Additional file 3 of Evaluation of genomic and phenomic prediction for application in apple breeding

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