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

种子质量特性已被确定为改变农业系统的驱动因素，因此，通过在轮作中更多地使用脉冲作物，可持续性可能会大大提高。目前，高质量豆类的国内和出口溢价市场都存在，这可能影响轮换的选择。本项目旨在确定三种主要供人类食用的豌豆作物（葡萄栽培、罐装和干豌豆）种子质量参数的科学依据。该项目将确定与质量呈正相关或负相关的化合物，并提供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。这项工作将通过对工业伙伴按照现行工业标准种植和收获的材料进行研究，将遗传和代谢组学科学研究与工业质量评估联系起来。遗传标记系将用于代谢物分析和工业感官分析。通过这种方式，与质量相关的基因和标记将被识别。候选基因的作用将通过对变异系的工业分析来探索，包括一些已经作为实验室库存的接近等基因系。通过在标记辅助选择中使用遗传标记，将品质性状与生物化学和遗传信息联系起来，将有助于更可靠、更快速地鉴定优质品系。这将提高以优质粮食市场为目标的育种计划的效率。它还将提供机会，开发更可靠的方法，以便在实地迅速评估成熟度。与质量相关的基因和标记的识别将为通过诱变在生化途径中操纵基因和识别种质内自然变异的新来源提供机会。将探讨改进豆类质量评估系统的影响，以及满足英国可持续农业当前和不断增长的市场需求的现实。根据目前正在开发的有关气候变化的社会经济数据和模型，将在一项范围研究中使用轮作变化的后果预测模型、土地地图和土地使用效率数据。

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.