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

Identifying Priorities for the Department of Veterans Affairs Strategic Plan: A Rapid Multi-Method Evaluation

确定退伍军人事务部战略计划的优先事项:一项快速多方法评估

Donnelly, John P; Vitous, C Ann; Burgan, Kaylee W; Yahya, Gezan M; Johnson, Jessica L; McDonald, Jessica A; Bowersox, Nicholas W; Kawentel, Linda M

Targeted genotyping (90K-SPET) facilitates genome-wide association studies and the prediction of yield-related traits in faba bean (Vicia faba L.)

靶向基因分型(90K-SPET)有助于开展全基因组关联研究,并预测蚕豆(Vicia faba L.)的产量相关性状。

Lippolis, Antonio; Gezan, Salvador A; Zuidgeest, Jorrit; Cafaro, Valeria; van Dinter, Bert-Jan; Elzes, Geert; Paulo, Maria-João; Trindade, Luisa M

GWAS Identifies SNP Markers and Candidate Genes for Off-Flavours and Protein Content in Faba Bean (Vicia faba L.)

GWAS 鉴定出蚕豆(Vicia faba L.)异味和蛋白质含量的 SNP 标记和候选基因

Lippolis, Antonio; Hollebrands, Boudewijn; Acierno, Valentina; de Jong, Catrienus; Pouvreau, Laurice; Paulo, João; Gezan, Salvador A; Trindade, Luisa M

Incorporating spatial and genetic competition into breeding pipelines with the R package gencomp

利用 R 包 gencomp 将空间和遗传竞争纳入育种流程

Chaves, Saulo F S; Ferreira, Filipe M; Ferreira, Getulio C; Gezan, Salvador A; Dias, Kaio Olimpio G

Needle- and Canopy-Level Genetic Variation in Scots Pine (Pinus sylvestris L.) Revealed by Hyperspectral Phenotyping Across Sites and Seasons

利用高光谱表型分析揭示欧洲赤松(Pinus sylvestris L.)针叶和树冠层面的遗传变异(跨地点和季节)

Provazník, Daniel; Stejskal, Jan; Lhotáková, Zuzana; Čepl, Jaroslav; Neuwirthová, Eva; Nofrizal, Adenan Yandra; Korecký, Jiří; Červená, Lucie; Kupková, Lucie; Klápště, Jaroslav; Hansen, Jon Kehlet; Gezan, Salvador A; Campbell, Petya; Lstibůrek, Milan; Albrechtová, Jana

An evaluation of virtual supervision effectiveness within department of veterans affairs (VA) health professionals training programs

对退伍军人事务部 (VA) 卫生专业人员培训项目中虚拟督导有效性的评估

Kawentel, Linda M; Donnelly, John P; Burgan, Kaylee W; Yahya, Gezan M; Doredla, Joanna S; Johnson, Jessica L; Falco, Kimberly; Bowman, Marjorie A; Byrne, John; Bowersox, Nicholas W

A Mixed Methods Evaluation Finds Virtual Training Among Health Professions Education Trainees and Supervisors as Effective as In-Person Training

一项混合方法评估发现,虚拟培训对卫生专业教育学员和督导员的效果与面授培训一样好。

Yahya, Gezan M; Burgan, Kaylee W; Kawentel, Linda M; Ragan, Addison; Doran, Jennifer M; Bowersox, Nicholas W

Increasing genomic prediction accuracy for unphenotyped full-sib families by modeling additive and dominance effects with large datasets in white spruce

利用白云杉大型数据集对加性效应和显性效应进行建模,提高未表型全同胞家系基因组预测的准确性

Nadeau, Simon; Beaulieu, Jean; Gezan, Salvador A; Perron, Martin; Bousquet, Jean; Lenz, Patrick R N

Mr.Bean: a comprehensive statistical and visualization application for modeling agricultural field trials data

Mr.Bean:一款用于模拟农业田间试验数据的综合统计和可视化应用程序

Aparicio, Johan; Gezan, Salvador A; Ariza-Suarez, Daniel; Raatz, Bodo; Diaz, Santiago; Heilman-Morales, Ana; Lobaton, Juan

Optimizing Sparse Testing for Genomic Prediction of Plant Breeding Crops

优化稀疏测试以进行植物育种作物的基因组预测

Montesinos-López, Osval A; Saint Pierre, Carolina; Gezan, Salvador A; Bentley, Alison R; Mosqueda-González, Brandon A; Montesinos-López, Abelardo; van Eeuwijk, Fred; Beyene, Yoseph; Gowda, Manje; Gardner, Keith; Gerard, Guillermo S; Crespo-Herrera, Leonardo; Crossa, José