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Title: The relationships between genotype, yield, and environmental factors on protein distribution in the wheat endosperm
Author: Savill, George Peter
ISNI:       0000 0004 7966 6939
Awarding Body: University of Reading
Current Institution: University of Reading
Date of Award: 2018
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Within a generation, climate change will no longer be a subject for political debate. By 2080, average summer temperatures in the UK are predicted to rise by up to 4.2°C, snowfall will all but cease, and heatwaves will become increasingly common (Jenkins et al. 2009). Whilst high temperatures are known to be detrimental to wheat crop yields (Shah et al. 2003; Asseng et al. 2011; Asseng 2015), the effect on the distribution of protein within the wheat grain is yet to be discovered. Distinct gradients exist in the distribution of protein within the wheat endosperm (Cobb 1905; Kent 1966; Tosi et al. 2011), with protein accumulation concentrated towards the outer endosperm, an effect which is increased by nitrogen fertilisation (He et al. 2013). Due to these gradients in protein concentration, during milling mill streams of differing protein content are produced (Wang et al. 2007). Furthermore, when milling for while flour, a portion of the outer endosperm remains adhered to the aleurone layer, resulting in a disproportionate reduction in the protein content of the flour. Therefore understanding the effects that determine the distribution of protein within the wheat endosperm is of great importance. This research has identified a combined effect of nitrogen supply and elevated temperature on the gradient in grain protein concentration and size-distribution of protein bodies in the wheat endosperm, and also how these qualities vary between genotypes. Furthermore, data for grain yield and yield components, protein composition, and gluten storage protein synthesis gene expression are also presented. The results of this study lay the foundation for future work on the effect of climate change on wheat grain quality. This study also makes available an image analysis tool capable of the high-throughput spatial analysis of images, which can be applied to a range of future experiments.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available