日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Nonlinear genomic selection index accelerates multi-trait crop improvement

非线性基因组选择指数加速多性状作物改良

Jesús Cerón-Rojas, J; Montesinos-López, Osval A; Montesinos-López, Abelardo; Vitale, Paolo; Pérez-Rodríguez, Paulino; Fernandes, Samuel B; Ortiz, Rodomiro; Crossa, José

Multi-trait and multi-environment genomic prediction enhances yield components improvement in durum wheat

多性状多环境基因组预测可提高硬粒小麦产量构成要素的改良效果。

Puglisi, Damiano; Crossa, José; Cuevas, Jaime; Fania, Fabio; Vitale, Paolo; De Vita, Pasquale

Hybrid kernels integrating genomic and multispectral data improve wheat genomic prediction accuracy

整合基因组和多光谱数据的混合核型提高了小麦基因组预测的准确性

Montesinos-López, Osval A; Martínez-Regalado, Joel A; Murillo-Avalos, Cintia Leonora; Herr, Andrew W; Montesinos-López, Abelardo; Delgado-Enciso, Iván; Cuevas, Jaime; Crossa, José; Carter, Arron H

Fast-forwarding plant breeding with deep learning-based genomic prediction

利用基于深度学习的基因组预测加速植物育种

Gao, Shang; Yu, Tingxi; Rasheed, Awais; Wang, Jiankang; Crossa, Jose; Hearne, Sarah; Li, Huihui

EXGEP: a framework for predicting genotype-by-environment interactions using ensembles of explainable machine-learning models

EXGEP:一个利用可解释机器学习模型集成预测基因型与环境互作的框架

Yu, Tingxi; Zhang, Hao; Chen, Shoukun; Gao, Shang; Liu, Ze; Wang, Jiankang; Crossa, Jose; Montesinos-López, Osval A; Hearne, Sarah; Li, Huihui

GBLUP Outperforms Quantile Mapping and Outlier Detection for Enhanced Genomic Prediction

GBLUP 在增强基因组预测方面优于分位数映射和异常值检测

Montesinos-López, Osval Antonio; Crossa, José; Vitale, Paolo; Gerard, Guillermo; Crespo-Herrera, Leonardo; Dreisigacker, Susanne; Saint Pierre, Carolina; Posadas, Luis G; Agbona, Afolabi; Buenrostro-Mariscal, Raymundo; Montesinos-López, Abelardo; Chawade, Aakash

Enhancing wheat genomic prediction by a hybrid kernel approach

利用杂交核方法增强小麦基因组预测

Cuevas, Jaime; Crossa, Jose; Montesinos-López, Abelardo; Martini, Johannes W R; Gerard, Guillermo Sebastiáń; Ortegón, Jaime; Dreisigacker, Susanne; Govindan, Velu; Pérez-Rodríguez, Paulino; Saint Pierre, Carolina; Herrera, Leonardo Abdiel Crespo; Montesinos-López, Osval A; Vitale, Paolo

Balancing Sensitivity and Specificity Enhances Top and Bottom Ranking in Genomic Prediction of Cultivars

平衡灵敏度和特异性可提高基因组预测品种排名中的最高和最低排名

Montesinos-López, Osval A; Kismiantini; Alemu, Admas; Montesinos-López, Abelardo; Montesinos-López, José Cricelio; Crossa, Jose

Near-Infrared Spectroscopy-Based Phenomics Data Can Improve Genomic Prediction of Agronomic and Grain Quality Traits Across Multi-Environment Sorghum Hybrid Trials

基于近红外光谱的表型组学数据可以提高多环境高粱杂交试验中农艺性状和籽粒品质性状的基因组预测

Sapkota, Pradip; Fonseca, Jales; Perumal, Ramasamy; Crossa, José; Rooney, William L

Optimizing genomic prediction with transfer learning under a ridge regression framework

在岭回归框架下利用迁移学习优化基因组预测

Montesinos-López, Osval A; Barajas-Ramirez, Eduardo A; Salinas-Ruiz, Josafhat; Montesinos-López, Abelardo; Gerard, Guillermo; Vitale, Paolo; Dreisigacker, Susanne; Pierre, Carolina Saint; Crossa, José