Matthew J Hayden
Overview
Explore the profile of Matthew J Hayden including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
57
Citations
1960
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Li J, Ryan M, Dong C, Forrest K, Hayden M, Singh S, et al.
Theor Appl Genet
. 2024 Dec;
138(1):15.
PMID: 39730764
We analysed the chromosomal structures of two wheat-Thinopyrum intermedium addition lines Z4 and Z5 and resolved the linkage relationship between the leaf rust and stripe rust resistance genes in Z4....
2.
Sahab S, Runa F, Ponnampalam M, Kay P, Jaya E, Viduka K, et al.
Front Plant Sci
. 2024 Dec;
15:1397632.
PMID: 39624242
Canola ( L.) is a valuable oilseed crop worldwide. However, trait improvement by breeding has been limited by its low genetic diversity and polyploid genetics. Whilst offering many potential benefits,...
3.
Sahab S, Hayden M, Mason J, Spangenberg G
Curr Protoc
. 2024 Sep;
4(9):e70008.
PMID: 39264225
Protoplast sorting and purification methods are powerful tools enabling the enrichment of cellular subpopulations for basic and applied studies in plant sciences. Fluorescence-activated protoplast sorting (FAPS) is an efficient method...
4.
Joukhadar R, Li Y, Thistlethwaite R, Forrest K, Tibbits J, Trethowan R, et al.
Front Plant Sci
. 2024 Jul;
15:1337388.
PMID: 38978519
Introduction: In plant breeding, we often aim to improve multiple traits at once. However, without knowing the economic value of each trait, it is hard to decide which traits to...
5.
Zhao H, Khansefid M, Lin Z, Hayden M
Plants (Basel)
. 2024 Jun;
13(11).
PMID: 38891385
Safflower ( L.) is a multipurpose minor crop consumed by developed and developing nations around the world with limited research funding and genetic resources. Genomic selection (GS) is an effective...
6.
Jighly A, Thayalakumaran T, Kant S, Panozzo J, Aggarwal R, Hessel D, et al.
Theor Appl Genet
. 2024 Apr;
137(5):108.
PMID: 38637355
The integration of genomic prediction with crop growth models enabled the estimation of missing environmental variables which improved the prediction accuracy of grain yield. Since the invention of whole-genome prediction...
7.
Gebremedhin A, Li Y, Shunmugam A, Sudheesh S, Valipour-Kahrood H, Hayden M, et al.
Front Plant Sci
. 2024 Jan;
14:1284781.
PMID: 38235201
Genomic selection (GS) uses associations between markers and phenotypes to predict the breeding values of individuals. It can be applied early in the breeding cycle to reduce the cross-to-cross generation...
8.
Zhao H, Savin K, Li Y, Breen E, Maharjan P, Tibbits J, et al.
Mol Breed
. 2023 Jun;
42(4):24.
PMID: 37309464
Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-022-01295-8.
9.
Azizinia S, Mullan D, Rattey A, Godoy J, Robinson H, Moody D, et al.
Front Plant Sci
. 2023 Jun;
14:1167221.
PMID: 37275257
Historically, end-product quality testing has been costly and required large flour samples; therefore, it was generally implemented in the late phases of variety development, imposing a huge cost on the...
10.
Jighly A, Weeks A, Christy B, OLeary G, Kant S, Aggarwal R, et al.
J Exp Bot
. 2023 May;
74(15):4415-4426.
PMID: 37177829
Running crop growth models (CGM) coupled with whole genome prediction (WGP) as a CGM-WGP model introduces environmental information to WGP and genomic relatedness information to the genotype-specific parameters modelled through...