Data

Expediting the delivery to industry of a novel method of eliminating LMA (OD224186)

Commonwealth Scientific and Industrial Research Organisation
Ral, Jean-Philippe ; Yu, Ronald ; Kooij-Liu, Peggy ; Bose, Utpal ; Zwart, Alec
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/bp4j-wx16&rft.title=Expediting the delivery to industry of a novel method of eliminating LMA (OD224186)&rft.identifier=https://doi.org/10.25919/bp4j-wx16&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=Falling Number (FN) is used as the international standard for determining pre-harvest sprouting (PHS) in wheat grain, however the trait of Late Maturity alpha-Amylase (LMA) also causes low falling number. LMA is currently not prevalent in Australian milling wheats due to WQA classification standards. However, due to the difficulty in selecting for LMA resistant wheats, this process results in breeders discarding a large proportion of genetic diversity that could be used to improve the rate of genetic gain for yield and other traits. Recent investment by GRDC and CSIRO has identified genetic deletions of key genes in the LMA pathway, providing an easy way that breeders could protect against LMA in their programs. This project will undertake validation of these mutants and ensure the trait is combined with appropriate agronomic performance and grain quality to expedite the use of the invention by breeders.Lineage: Six wheat lines (Chara B1n-LMA, Chara B23n-LMA, Chara A12n-LMA, Chara An-LMA, Chara Bn-LMA, and Chara Dn-LMA) from heavy ion bombardment population in Chara wheat background (Triticum aestivum) and four wheat varieties (Chara, Seri, Raider, and Scepter) were grown in 1) growth cabinet, glasshouse, and field.The complete dataset is composed of the following files and folders:1. Marker-Development2. Crossing-Records3. Biochemical-Analysis4. Agronomical-Trait-Analysis&rft.creator=Ral, Jean-Philippe &rft.creator=Yu, Ronald &rft.creator=Kooij-Liu, Peggy &rft.creator=Bose, Utpal &rft.creator=Zwart, Alec &rft.date=2025&rft.edition=v1&rft.coverage=149.1141,-35.2729&rft_rights=Creative Commons Attribution-Noncommercial 4.0 Licence https://creativecommons.org/licenses/by-nc/4.0/&rft_rights=Access to the data is restricted&rft_rights=All Rights (including copyright) CSIRO 2024.&rft_subject=Late Maturation Alpha Amylase&rft_subject=Preharvest Sprouting&rft_subject=Agricultural molecular engineering of nucleic acids and proteins&rft_subject=Agricultural biotechnology&rft_subject=AGRICULTURAL, VETERINARY AND FOOD SCIENCES&rft.type=dataset&rft.language=English Access the data

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Full description

Falling Number (FN) is used as the international standard for determining pre-harvest sprouting (PHS) in wheat grain, however the trait of Late Maturity alpha-Amylase (LMA) also causes low falling number. LMA is currently not prevalent in Australian milling wheats due to WQA classification standards. However, due to the difficulty in selecting for LMA resistant wheats, this process results in breeders discarding a large proportion of genetic diversity that could be used to improve the rate of genetic gain for yield and other traits. Recent investment by GRDC and CSIRO has identified genetic deletions of key genes in the LMA pathway, providing an easy way that breeders could protect against LMA in their programs. This project will undertake validation of these mutants and ensure the trait is combined with appropriate agronomic performance and grain quality to expedite the use of the invention by breeders.
Lineage: Six wheat lines (Chara B1n-LMA, Chara B23n-LMA, Chara A12n-LMA, Chara An-LMA, Chara Bn-LMA, and Chara Dn-LMA) from heavy ion bombardment population in Chara wheat background (Triticum aestivum) and four wheat varieties (Chara, Seri, Raider, and Scepter) were grown in 1) growth cabinet, glasshouse, and field.
The complete dataset is composed of the following files and folders:
1. Marker-Development
2. Crossing-Records
3. Biochemical-Analysis
4. Agronomical-Trait-Analysis

Available: 2025-05-30

Data time period: 2024-04-15 to 2028-07-31

This dataset is part of a larger collection

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149.1141,-35.2729

149.1141,-35.2729

Other Information

Grains Research & Development Corporation (GRDC) : CSP2404-019RTX

ACN 633 798 857