Evidence map›Paper›PMID 42613458›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2026

Haplotype-based nested association mapping for net form net blotch response in Australian barley.

Muhammad Nadeem, Dan Liu, Lisle Snyman, Lee Hickey, Eric Dinglasan

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Muhammad NadeemQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia.
Dan LiuQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia.
Lisle SnymanDepartment of Primary Industries, Hermitage Research Facility, Warwick, QLD, Australia.
Lee HickeyQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia. l.hickey@uq.edu.au.ORCID http://orcid.org/0000-0001-6909-7101
Eric DinglasanQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia. e.dinglasan@uq.edu.au.

Funding

Australian Research Council FT220100350Grains Research and Development Corporation DAQ00190Grains Research and Development Corporation UOQ2005-012RTXGrains Research and Development Corporation UOQ2405-015RTXThe Queensland Government Industry Research Fellowship AQIRF096-2023RD6
6 · The paper itself

Abstract

key messageHaplotype-based nested association mapping conducted in Australian barley identified 30 haploblocks for resistance/susceptibility to net form of net blotch. Stacking multiple resistance haplotypes significantly reduced disease severity. Net form net blotch (NFNB), caused by Pyrenophora teres f. teres, is a major fungal disease affecting barley, leading to significant yield losses globally. Improving the sustainability of barley production requires identifying genetic sources that confer effective resistance across genetic backgrounds and diverse environments. Considerable progress has been made through mapping studies conducted internationally, but many have largely focused on unadapted germplasm such as landraces or used foreign pathotypes. To support breeding outcomes in Australia, characterization of resistance alleles that are effective against local pathotypes is critical, along with investigating resistances that may already be present in breeding germplasm as this could reduce the time to deployment of resistant cultivars. In this study, we applied the local genomic estimated breeding value approach to perform haplotype mapping using a multi-reference parent nested association mapping (MR-NAM) population developed using resistant breeding lines as donor parents. The population was evaluated across three seasons in Queensland to investigate the genetic architecture of NFNB resistance and genotype-by-environment interactions. We identified 30 haploblocks, with seven representing novel genomic regions not previously associated with NFNB resistance. Three haploblocks on chromosomes 2H, 6H, and 7H were consistently associated with resistance across all environments, suggesting that they likely harbor stable resistance loci. Haplotype stacking analysis demonstrated that combining multiple resistance haplotypes significantly reduced disease severity, with lines carrying 6-10 resistance haplotypes showing progressive improvements in NFNB resistance. The distribution and effectiveness of these key haplotypes across environments, and in diverse genetic backgrounds adapted to Australia (Commander, Compass and La Trobe), highlight the potential to harness them in ongoing pre-breeding and breeding programs.

Indexed as

Chromosome MappingDisease ResistanceHaplotypesHordeumPlant DiseasesAscomycotaAustraliaGene-Environment InteractionGenetic Association StudiesGenotypePhenotypePlant BreedingPolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID42613458
PMCPMC13486095

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.