Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/102441
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Type: | Journal article |
Title: | Genetic basis for variation in wheat grain yield in response to varying nitrogen application |
Author: | Mahjourimajd, S. Taylor, J. Sznajder, B. Timmins, A. Shahinnia, F. Rengel, Z. Khabaz-Saberi, H. Kuchel, H. Okamoto, M. Langridge, P. |
Citation: | PLoS One, 2016; 11(7):1-18 |
Publisher: | PLOS One |
Issue Date: | 2016 |
ISSN: | 1932-6203 1932-6203 |
Editor: | Nguyen, H. |
Statement of Responsibility: | Saba Mahjourimajd, Julian Taylor, Beata Sznajder, Andy Timmins, Fahimeh Shahinnia, Zed Rengel, Hossein Khabaz-Saberi, Haydn Kuchel, Mamoru Okamoto, Peter Langridge |
Abstract: | Nitrogen (N) is a major nutrient needed to attain optimal grain yield (GY) in all environments. Nitrogen fertilisers represent a significant production cost, in both monetary and environmental terms. Developing genotypes capable of taking up N early during development while limiting biomass production after establishment and showing high N-use efficiency (NUE) would be economically beneficial. Genetic variation in NUE has been shown previously. Here we describe the genetic characterisation of NUE and identify genetic loci underlying N response under different N fertiliser regimes in a bread wheat population of doubled-haploid lines derived from a cross between two Australian genotypes (RAC875 × Kukri) bred for a similar production environment. NUE field trials were carried out at four sites in South Australia and two in Western Australia across three seasons. There was genotype-by-environment- by-treatment interaction across the sites and also good transgressive segregation for yield under different N supply in the population. We detected some significant Quantitative Trait Loci (QTL) associated with NUE and N response at different rates of N application across the sites and years. It was also possible to identify lines showing positive N response based on the rankings of their Best Linear Unbiased Predictions (BLUPs) within a trial. Dissecting the complexity of the N effect on yield through QTL analysis is a key step towards elucidating the molecular and physiological basis of NUE in wheat. |
Keywords: | Triticum Nitrogen Fertilizers Chromosome Mapping Crosses, Genetic Breeding Environment Biomass Genotype Quantitative Trait, Heritable Quantitative Trait Loci Genetic Association Studies Genetic Linkage Edible Grain |
Rights: | Copyright: © 2016 Mahjourimajd et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
DOI: | 10.1371/journal.pone.0159374 |
Grant ID: | ARC |
Published version: | http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0159374 |
Appears in Collections: | Agriculture, Food and Wine publications Aurora harvest 3 |
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hdl_102441.pdf | Published version | 1.9 MB | Adobe PDF | View/Open |
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