Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/108977
Title: | Identifying genomic regions determining shoot and root traits related to nitrogen uptake efficiency in a multiparent advanced generation intercross (MAGIC) winter wheat population in a high-throughput phenotyping facility |
Author(s): | Schmidt, Laura Jacobs, John Schmutzer, Thomas Alqudah, Ahmad M. Sannemann, Wiebke Pillen, Klaus Maurer, Andreas |
Issue Date: | 2023 |
Type: | Article |
Language: | English |
Abstract: | In the context of a continuously increasing human population that needs to be fed, with environmental protection in mind, nitrogen use efficiency (NUE) improvement is becoming very important. To understand the natural variation of traits linked to nitrogen uptake efficiency (UPE), one component of NUE, the multiparent advanced generation intercross (MAGIC) winter wheat population WM-800 was phenotyped under two contrasting nitrogen (N) levels in a high-throughput phenotyping facility for six weeks. Three biomass-related, three root-related, and two reflectance-related traits were measured weekly under each treatment. Subsequently, the population was genetically analysed using a total of 13,060 polymorphic haplotypes and singular SNPs for a genome-wide association study (GWAS). In total, we detected 543 quantitative trait loci (QTL) across all time points and traits, which were pooled into 42 stable QTL (sQTL; present in at least three of the six weeks). Besides Rht-B1 and Rht-D1, candidate genes playing a role in gibberellic acid-regulated growth and nitrate transporter genes from the NPF gene family, like NRT 1.1, were linked to sQTL. Two novel sQTL on chromosomes 5 A and 6D showed pleiotropic effects on several traits. The high number of N-specific sQTL indicates that selection for UPE is useful specifically under N-limited conditions. |
URI: | https://opendata.uni-halle.de//handle/1981185920/110932 http://dx.doi.org/10.25673/108977 |
Open Access: | Open access publication |
License: | (CC BY 4.0) Creative Commons Attribution 4.0 |
Journal Title: | Plant science |
Publisher: | Elsevier Science |
Publisher Place: | Amsterdam [u.a.] |
Volume: | 330 |
Original Publication: | 10.1016/j.plantsci.2023.111656 |
Appears in Collections: | Open Access Publikationen der MLU |
Files in This Item:
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1-s2.0-S0168945223000730-main.pdf | 6.37 MB | Adobe PDF | View/Open |