Comparison of sequencing-based and array-based genotyping platforms for genomic prediction of maize hybrid performance-Reference-Cited by-同舟云学术

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Comparison of sequencing-based and array-based genotyping platforms for genomic prediction of maize hybrid performance

Published:2023-04 Issue:2 Volume:11 Page:490-498
ISSN:2214-5141
Container-title:The Crop Journal
language:en
Short-container-title:The Crop Journal

Author:

Yu Guangning,Cui Yanru,Jiao Yuxin,Zhou Kai,Wang Xin,Yang Wenyan,Xu Yiyi,Yang Kun,Zhang Xuecai,Li Pengcheng,Yang Zefeng,Xu Yang,Xu Chenwu

Publisher

Elsevier BV

Subject

Plant Science,Agronomy and Crop Science

Reference40 articles.

1. Genomic selection in plant breeding: methods, models, and perspectives;Crossa;Trends Plant Sci.,2017

2. Incorporation of parental phenotypic data into multi-omic models improves prediction of yield-related traits in hybrid rice;Xu;Plant Biotechnol. J.,2021

3. Enhancing genetic gain through genomic selection: from livestock to plants;Xu;Plant Commun.,2020

4. Diversifying maize genomic selection models;Rice;Mol. Breed.,2021

5. The genetic mechanism of heterosis utilization in maize improvement;Xiao;Genome Biol.,2021

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1. Genomic prediction of yield-related traits and genome-based establishment of heterotic pattern in maize hybrid breeding of Southwest China;Frontiers in Plant Science;2024-09-09

2. HASCH - A high-throughput amplicon-based SNP-platform for medicinal cannabis and industrial hemp genotyping applications;BMC Genomics;2024-08-29

3. GA-GBLUP: leveraging the genetic algorithm to improve the predictability of genomic selection;Briefings in Bioinformatics;2024-07-25

4. Genotyping-by-sequencing and DNA array for genomic prediction in soybean oil composition;2024-06-09

5. Exploiting genomic tools for genetic dissection and improving the resistance to Fusarium stalk rot in tropical maize;Theoretical and Applied Genetics;2024-04-22

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