Delivering low-cost, high-throughput root phenotyping screens for arable crops

为耕作作物提供低成本、高通量的根表型筛选

• 批准号: BB/J019631/1
• 负责人: Martin Roger Broadley
• 金额: $ 33.26万
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2012
• 资助国家: 英国
• 起止时间: 2012 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FJ019631%2F1
• 关键词: Delivering; low; cost; throughput; root

Plant roots are essential for the uptake of water and nutrients from soil. Consequently, root growth has significant effects on crop establishment and yield. Previous work by the project team, and others, has shown strong relationships between early root growth traits and the performance of arable crops in the field. However, measuring roots and selecting varieties with improved root systems in the field is time consuming, laborious and expensive. Using laboratory techniques, root growth can be measured quickly and cheaply - for 1000s of plants a year. Genotypes with better root growth and root architectures can be identified in the laboratory and assessments of selected plants can be made under field conditions to validate laboratory screens and assess field performance.In this proposal we will use low cost, high-throughput methods to define the early root system of >1,600 different oilseed rape (OSR), barley and wheat genotypes in the laboratory. The roots of individual plants will be imaged at two time points. These images will then be analysed to determine the number of roots, root branching rates, root lengths, root growth rates and root angles. To validate and test the utility of measurements made in the laboratory, we will compare them with (1) measurements of root systems made in the field, and (2) data collected from new and legacy field trials assessing large numbers of new crop varieties for National and Recommended Lists to identify root traits correlated with establishment and yield for breeding.Root growth and architecture are genetically controlled. We will identify genetic loci in large populations of OSR, barley and wheat affecting root growth and architecture traits that correlate with resource acquisition, establishment and yield in the field. An understanding of how best to combine beneficial alleles will be assessed through modelling approaches. To identify genetic targets for breeding we will develop mathematical models describing root growth and architecture in OSR that incorporate the effects of genetic variation. These mathematical models will be extended to predict the effects of root architecture on P acquisition and, thereby, identify potential genotypes with improved rooting and greater P acquisition for sustainable agriculture.In summary, this proposal will deliver low cost, high-throughput platforms for root phenotyping. These will be of direct benefit to the breeding industry, allowing them to assess germplasm for root growth and architecture that correlate with improved establishment and yield. Genetic loci affecting root growth and architecture will be identified to accelerate the breeding of new varieties. Mathematical models will allow genotypes associated with improved root systems to be identified.

植物的根对于从土壤中吸收水分和养分至关重要。因此，根系生长对作物成活率和产量有显著影响。该项目团队和其他人之前的工作表明，早期根系生长特征与田间可耕地作物的表现之间存在很强的关系。然而，在田间测量根系和选择根系改良的品种是费时、费力和昂贵的。利用实验室技术，可以快速而廉价地测量根的生长情况——每年可测量数千株植物。可以在实验室中鉴定出根系生长和根系结构较好的基因型，并在田间条件下对所选植物进行评估，以验证实验室筛选并评估田间表现。在本研究中，我们将采用低成本、高通量的方法，在实验室中对1600个不同基因型的油菜、大麦和小麦的早期根系进行定义。单个植物的根将在两个时间点成像。然后对这些图像进行分析，以确定根的数量、根的分枝率、根的长度、根的生长率和根的角度。为了验证和测试实验室测量的效用，我们将它们与(1)在田间进行的根系测量和(2)从新的和传统的田间试验中收集的数据进行比较，这些试验评估了国家和推荐清单中的大量新作物品种，以确定与育种建立和产量相关的根系性状。根的生长和结构受基因控制。我们将在OSR、大麦和小麦的大量种群中确定影响根系生长和结构性状的遗传位点，这些性状与田间资源获取、建立和产量相关。对如何最好地结合有益等位基因的理解将通过建模方法进行评估。为了确定育种的遗传目标，我们将开发描述OSR中包含遗传变异影响的根生长和结构的数学模型。这些数学模型将被扩展到预测根系构型对磷获取的影响，从而确定具有改善根系和提高磷获取的潜在基因型，以实现可持续农业。总之，该提案将提供低成本、高通量的根表型分析平台。这将直接有利于育种行业，使他们能够评估与提高产量和产量相关的根系生长和结构的种质。将确定影响根系生长和结构的遗传位点，以加快新品种的选育。数学模型将允许识别与改良根系相关的基因型。

项目成果

A scanner system for high-resolution quantification of variation in root growth dynamics of Brassica rapa genotypes.

• DOI: 10.1093/jxb/eru048
• 发表时间: 2014-05
• 期刊: Journal of experimental botany
• 影响因子: 6.9
• 作者: Adu MO;Chatot A;Wiesel L;Bennett MJ;Broadley MR;White PJ;Dupuy LX
• 通讯作者: Dupuy LX

High-throughput root phenotyping screens identify genetic loci associated with root architectural traits in Brassica napus under contrasting phosphate availabilities.

• DOI: 10.1093/aob/mcs245
• 发表时间: 2013-07
• 期刊: Annals of botany
• 影响因子: 4.2
• 作者: Shi L;Shi T;Broadley MR;White PJ;Long Y;Meng J;Xu F;Hammond JP
• 通讯作者: Hammond JP

Magnesium and calcium overaccumulate in the leaves of a schengen3 mutant of Brassica rapa.

镁和钙过于积聚在脑脑的Schengen3突变体的叶片中。

• DOI: 10.1093/plphys/kiab150
• 发表时间: 2021-07-06
• 期刊: Plant physiology
• 影响因子: 7.4
• 作者: Alcock TD;Thomas CL;Ó Lochlainn S;Pongrac P;Wilson M;Moore C;Reyt G;Vogel-Mikuš K;Kelemen M;Hayden R;Wilson L;Stephenson P;Østergaard L;Irwin JA;Hammond JP;King GJ;Salt DE;Graham NS;White PJ;Broadley MR
• 通讯作者: Broadley MR

Effects of rooting media on root growth and morphology of Brassica rapa seedlings

生根介质对白菜幼苗根系生长和形态的影响

• DOI: 10.1080/02571862.2016.1141336
• 发表时间: 2016
• 期刊: South African Journal of Plant and Soil
• 影响因子: 0.9
• 作者: Adu M

High-throughput phenotyping (HTP) identifies seedling root traits linked to variation in seed yield and nutrient capture in field-grown oilseed rape (Brassica napus L.).

• DOI: 10.1093/aob/mcw046
• 发表时间: 2016-10-01
• 期刊: Annals of botany
• 影响因子: 4.2
• 作者: Thomas CL;Graham NS;Hayden R;Meacham MC;Neugebauer K;Nightingale M;Dupuy LX;Hammond JP;White PJ;Broadley MR
• 通讯作者: Broadley MR