NUE in Wheat
The objectives of the research on NUE in wheat were:
- To investigate the genetic control of Nitrogen use in wheat
- To identify appropriate breeding targets for the European markets, specifically:
- Can genotypes be developed to yield well at all nitrogen levels or
- Is NUE best improved by breeding for higher yield at current input levels?
Fig. 1 Nitrogen rate wheat trial in Cambridge
Fig. 2 Yield versus entry rank for 170 varieties of wheat tested at three levels of N input
Association mapping analysis identified 285 potential QTL ‘clusters’. Each of these was identified as a significant association of ordered markers with one or more traits. Of these, 18 targets of very high fidelity have been prioritised for follow-up work including potential gene candidate identification.
More extensive field trials using a limited selection of genotypes under varying management regimes were conducted in the UK, Switzerland and China.
The following publications have been produced on the work done in SP1:
Bonte A, Neuweger H, Goesmann A, Thonar C, Mader P, Langenkamper G, Niehaus K (2014) Metabolite profiling on wheat grain to enable a distinction of samples from organic and conventional farming systems. Journal of the Science of Food and Agriculture:1097
Gu L, Liu T, Zhao J, Dong S, Liu P, Zhang J, Zhao BQ (2014) Nitrate leaching of winter wheat grown in lysimeters as affected by fertilizers and irrigation on the North China Plain. Journal of Integrative Agriculture
Hildermann I, Messmer M, Dubois D, Boller T, Wiemken A, Mader P (2010) Nutrient use efficiency and arbuscular mycorrhizal root colonisation of winter wheat cultivars in different farming systems of the DOK long-term trial. Journal of the Science of Food and Agriculture 90:2027-2038
Sun W, Zhao BQ (2013) Effects of nitrogen fertilizer types and input rates on winter wheat quality. Journal of Plant Nutrition and Fertilizer Science 19 (6):1297-1311
Tetard-Jones C, Gatehouse AMR, Cooper J, Leifert C, Rushton S (2014) Modelling Pathways to Rubisco Degradation: A Structural Equation Network Modelling Approach. PLoS ONE 9 (2). doi:doi:10.1371/journal.pone.0087597
Tétard-Jones C, Shotton PN, Rempelos L, Cooper J, Eyre M, Orr CH, Gatehouse AMR (2012) Quantitative proteomics to study the response of wheat to contrasting fertilisation regimes. Mol Breed 31 (2):379-393