Understanding quality determinants in pea seeds to improve market opportunities that promote sustainable agriculture (QDiPS)

种子质量性状已被确定为改变农业系统的驱动力，通过更多地使用轮作豆类作物，可持续性可能会大幅提高。目前，国内和出口优质市场都存在高质量的豆类，这可能影响轮换的选择。该项目旨在确定人类食用的三种主要豌豆作物-葡萄种植、罐装和干豆-种子质量参数的科学依据。该项目将确定与质量正相关或负相关的化合物，并提供有关这些化合物在种子成熟和不同生长条件下如何变化的信息。这项工作将通过研究工业伙伴根据现行工业标准种植和收获的材料，将遗传学和代谢组学科学研究与工业质量评估联系起来。遗传标记线将用于代谢物分析和工业感官分析。通过这种方式，将确定与质量相关的基因和标记。候选基因的作用将通过对变异系的工业分析来探讨，包括一些已经作为实验室储备的近等基因系。将品质性状与生化和遗传信息联系起来，通过在标记辅助选择中使用遗传标记，将有助于更稳健和快速地鉴定上级品系。这将提高针对优质粮食市场的育种方案的效率。它还将提供机会，以制定更有力的方法，在实地迅速评估成熟度。与质量相关的基因和标记的身份将提供机会，通过诱变在生化途径中操纵基因，并确定种质内自然变异的新来源。将探讨改进脉冲质量评估系统的影响，以及满足当前和日益增长的市场对英国可持续农业的需求的现实。在一项范围界定研究中，将利用目前正在开发的与气候变化有关的社会经济数据和模型，对轮作、土地地图和土地利用效率数据的变化后果进行预测建模。

Seed quality traits have been identified as a driver for making changes to agricultural systems, such that sustainability might be increased substantially through a greater use of pulse crops in rotations. Currently, both home and export premium markets exist for pulses of high quality, which can impact on choices in rotations. This project aims to identify the scientific basis for seed quality parameters in the three main pea crops for human food use - vining, canning and dried pulses. The project will identify compounds that are positively or negatively associated with quality and provide information on how these change in seeds as they mature and under different growing conditions. The work will link genetical and metabolomic scientific studies with industrial assessments of quality, through studies of materials grown and harvested according to current industrial standards by the industrial partners. Genetically marked lines will be used for metabolite profiling and for industrial sensory analysis. In this way, genes and markers linked to quality will be identified. The role of candidate genes will be explored by industrial analysis of variant lines, including some near-isogenic lines that are already available as laboratory stocks. Linking quality characters to biochemical and genetic information will facilitate the more robust and rapid identification of superior lines, by enabling the deployment of genetic markers in marker assisted selection. This will lead to greater efficiency in breeding programmes aimed at quality food markets. It will also provide opportunity to develop more robust methods for assessing maturity rapidly in the field. The identity of genes and markers associated with quality will provide opportunities to manipulate the genes in the biochemical pathways via mutagenesis and to identify novel sources of natural variation within germplasm. The impact of improvements to systems for quality assessment in pulses, and the reality of meeting current and increased market demands on UK sustainable agriculture, will be explored. Predictive modelling of the consequences of changes to rotations, land maps and land-use efficiency data will be used in a scoping study, building on socio-economic data and models currently under development in relation to climate change.