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

Optimizing progeny size and number of crosses under genomic selection: insights into additive and epistatic contributions to long-term genetic gain

在基因组选择下优化后代大小和杂交次数:深入了解加性效应和上位效应对长期遗传增益的影响

da Silva Viana, Jesimiel; DoVale, Júlio César; Fritsche-Neto, Roberto

Correction: Optimizing progeny size and number of crosses under genomic selection: insights into additive and epistatic contributions to long‑term genetic gain

更正:在基因组选择下优化后代大小和杂交次数:深入了解加性和上位性对长期遗传增益的贡献

da Silva Viana, Jesimiel; DoVale, Júlio César; Fritsche-Neto, Roberto

Genome-wide association study in a diverse grapevine collection provides insights into the genetic basis of berry size and cluster architecture traits

对多样化的葡萄品种进行全基因组关联分析,揭示了浆果大小和果穗结构性状的遗传基础。

de Oliveira, Geovani Luciano; Francisco, Felipe Roberto; de Moura, Yohans Alves; Niederauer, Guilherme Francio; Fritsche-Neto, Roberto; de Souza, Anete Pereira; Moura Furlan, Mara Fernandes

Optimizing the selection of quantitative traits in plant breeding using simulation

利用模拟优化植物育种中数量性状的选择

Vieira, Rafael Augusto; Nogueira, Ana Paula Oliveira; Fritsche-Neto, Roberto

110 years of rice breeding at LSU: realized genetic gains and future optimization

路易斯安那州立大学110年水稻育种历程:已实现的遗传增益和未来优化

da Silva, Allison Vieira; Famoso, Adam; Linscombe, Steve; Fritsche-Neto, Roberto

The effect of haplotype size on genomic selection accuracy and epistasis: An empirical study in rice

单倍型大小对基因组选择准确性和上位性的影响:一项水稻实证研究

Montiel, Maria; Moreno-Amores, Jose; Punzalan, Jomar; Angira, Brijesh; Cerioli, Tommaso; Robbins, Kelly; McCouch, Susan; Fritsche-Neto, Roberto; Famoso, Adam

Evaluating the effectiveness of selection indices and their genomic prediction using environmental and historical rice data

利用环境和历史水稻数据评估选择指数及其基因组预测的有效性

Crossa, José; Cerón-Rojas, J Jesus; Montesinos-López, Abelardo; Montesinos-López, Osval A; Punzalan, Jomar; Famoso, Adam; Fritsche-Neto, Roberto

A review of multimodal deep learning methods for genomic-enabled prediction in plant breeding

植物育种中基于基因组预测的多模态深度学习方法综述

Montesinos-López, Osval A; Chavira-Flores, Moises; Kiasmiantini; Crespo-Herrera, Leo; Saint Piere, Carolina; Li, HuiHui; Fritsche-Neto, Roberto; Al-Nowibet, Khalid; Montesinos-López, Abelardo; Crossa, José

Feature engineering of environmental covariates improves plant genomic-enabled prediction

对环境协变量进行特征工程改造可提高植物基因组预测的准确性。

Montesinos-López, Osval A; Crespo-Herrera, Leonardo; Pierre, Carolina Saint; Cano-Paez, Bernabe; Huerta-Prado, Gloria Isabel; Mosqueda-González, Brandon Alejandro; Ramos-Pulido, Sofia; Gerard, Guillermo; Alnowibet, Khalid; Fritsche-Neto, Roberto; Montesinos-López, Abelardo; Crossa, José

Combining genotyping approaches improves resolution for association mapping: a case study in tropical maize under water stress conditions

结合多种基因分型方法可提高关联作图的分辨率:以水分胁迫下的热带玉米为例

de Pontes, Fernanda Carla Ferreira; Machado, Ingrid Pinheiro; Silveira, Maria Valnice de Souza; Lobo, Antônio Lucas Aguiar; Sabadin, Felipe; Fritsche-Neto, Roberto; DoVale, Júlio César