MycoRhizaSoil: Combining wheat genotypes with cultivation methods to facilitate mycorrhizosphere organisms improving soil quality and crop resilience

MycoRhizaSoil:将小麦基因型与栽培方法相结合,促进菌根际生物改善土壤质量和作物恢复力

基本信息

  • 批准号:
    BB/L026066/1
  • 负责人:
  • 金额:
    $ 89.49万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2014
  • 资助国家:
    英国
  • 起止时间:
    2014 至 无数据
  • 项目状态:
    已结题

项目摘要

Loss of soil organic matter content and soil macroaggregates (crumbs) as a result of arable cultivation reduces soil water and nutrient holding capacity and are major global constraints on crop yields and efficient use of fertilizer. In the UK wheat yield have not increased over nearly 20 years due to interactions between genetic, environment and management constraints. Modern wheat breeding has focussed on selection for disease resistance and increasing yield and quality of the grain, without consideration of other traits that can influence soil quality and ultimately, the long-term sustainabilty of soil. Soil erosion is a major global problem exacerbated by ploughing, loss of soil organic matter and the macroaggregates that hold soil together against water and wind erosion. One of the most important functional groups of organisms that are involved in stabilizing soil macroaggregates and contributing to soil organic matter storage are symbiotic fungi called mycorrhizas that receive sugars from plant roots in return for providing nutrients and water to the plants. We have recently shown that some modern wheat varieties have limited or no ability to form mycorrhizal symbiosis, and members of our consortium were amongst the first to show that conventional arable farming reduces the diversity and functioning of these symbionts. Loss of these symbionts and their functioning is thought to be contributory to loss of soil quality, both directly through effects on soil organic matter and soil structure, and indirectly though reductions in defences against pathogens which are induced by the symbiosis and plant growth promoting rhizobacteria that are thought to act synergistically with mycorrhizas.MycoRhizaSoil will determine the crucial roles mycorrhiza and co-associated soil microorganisms play in maintaining soil structure and organic matter content, which are required for high yields, and directly addresses for the first time the benefits of selecting wheat genotypes and less intensive management to enhance the functional benefits of these crop-microbe interactions to deliver lower input, more sustainable and resilient wheat production. Our approach combines laboratory and field based research using wheat lines that differ in mycorrhiza-forming capacity but are otherwise genetically very similar, selected over 500 lines of wheat bred from two parents that differed in mycorrhiza-forming ability. The laboratory-based research will resolve the mechanistic basis of mycorrhiza-induced systemic defenses to important root and shoot pathogens that cause major yield losses of wheat in the UK and globally. In a series of sequential field trials using the selected wheat lines we will determine the extent to which artificial inoculation with mycorrhizal fungi, the temporary conversion of crop land to grassland (to restore mycorrhiza) and adoption of no-tillage leads to improvements in soil quality and crop resilence to drought, excess water and native diseases compared to wheat grown conventionally with annual tillage. Our agenda-setting research programme identifies a new set of targets for optimising plant breeding and arable management for sustainable wheat production. Our ambitious ultimate goal is to provide the scientific evidence to evaluate the benefits of simultaneously reducing the need for ploughing (one of the most fossil-fuel demanding farm operations and one of the most damaging to soil conservation and sustainability) and increasing the activities of beneficial soil microorganisms through wheat genotype selection. In combination we predict these approaches will increase the storage of soil organic carbon in the surface soil, help restore water-stable macroaggregates and increase crop resilience to climate stress (too much and too little water) and diseases.
耕地耕作造成的土壤有机质含量和土壤大团聚体(碎屑)的损失降低了土壤的水分和养分保持能力,是作物产量和肥料有效利用的主要全球制约因素。在英国,由于遗传、环境和管理限制之间的相互作用,近20年来小麦产量没有增加。现代小麦育种侧重于抗病育种和提高籽粒产量和品质,而不考虑影响土壤质量的其他性状,最终影响土壤的长期可持续性。土壤侵蚀是一个主要的全球性问题,耕作加剧了土壤有机质的流失,以及土壤抵抗水和风蚀的大团聚体的流失。参与稳定土壤大团聚体和促进土壤有机质储存的最重要的生物功能群之一是被称为菌根的共生真菌,它们从植物根部接受糖分,以换取为植物提供养分和水分。我们最近表明,一些现代小麦品种形成菌根共生的能力有限或没有能力,我们联盟的成员是第一批表明传统耕作减少了这些共生体的多样性和功能的人之一。这些共生菌及其功能的丧失被认为是导致土壤质量损失的原因之一,这既是通过对土壤有机质和土壤结构的影响,也是通过减少对病原体的防御,这些病原体是由共生和促进植物生长的根际细菌诱导的,这些根际细菌被认为与菌根协同作用。菌根土壤将决定菌根和相关土壤微生物在维持土壤结构和有机质含量方面所起的关键作用,这是高产所必需的,并首次直接解决了选择小麦基因型和减少集约化管理的好处,以增强这些作物-微生物相互作用的功能效益,从而提供更低的投入、更具弹性和更具弹性的小麦生产。我们的方法结合了基于实验室和田间的研究,使用了在菌根形成能力上不同但在其他方面非常相似的小麦品系,选择了500多个小麦品系,这些品系来自两个菌根形成能力不同的亲本。这项基于实验室的研究将解决菌根诱导的对重要的根和地上部病原菌的系统防御的机制基础,这些病原菌导致英国和全球小麦的重大产量损失。在利用所选小麦品系进行的一系列田间试验中,我们将确定人工接种菌根真菌、暂时退耕还草(以恢复菌根)和采用免耕与传统耕作相比,土壤质量改善和作物对干旱、过量水分和本地疾病恢复沉默的程度。我们的议程设置研究计划为优化植物育种和可持续小麦生产的耕地管理确定了一套新的目标。我们雄心勃勃的最终目标是提供科学证据,评估同时减少耕作需求(对化石燃料要求最高的农业作业之一,也是对土壤保持和可持续性破坏最大的作业之一)和通过小麦基因选择增加有益土壤微生物的活动的益处。我们预测,这些方法结合在一起,将增加土壤表层有机碳的储存,有助于恢复水稳定的大团聚体,并提高作物对气候胁迫(水过多或过少)和疾病的适应能力。

项目成果

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The role of hedgerows in soil functioning within agricultural landscapes
  • DOI:
    10.1016/j.agee.2018.11.027
  • 发表时间:
    2019-03-01
  • 期刊:
  • 影响因子:
    6.6
  • 作者:
    Holden, J.;Grayson, R. P.;Leake, J. R.
  • 通讯作者:
    Leake, J. R.
Circular economy fertilization: Testing micro and macro algal species as soil improvers and nutrient sources for crop production in greenhouse and field conditions
  • DOI:
    10.1016/j.geoderma.2018.07.049
  • 发表时间:
    2019-01-15
  • 期刊:
  • 影响因子:
    6.1
  • 作者:
    Alobwede, Emanga;Leake, Jonathan R.;Pandhal, Jagroop
  • 通讯作者:
    Pandhal, Jagroop
Soil macroaggregation drives sequestration of organic carbon and nitrogen with three-year grass-clover leys in arable rotations.
土壤宏观团聚驱动三年草三叶草地在耕地轮作中封存有机碳和氮。
FARM OF THE FUTURE: JOURNEY TO NET ZERO
未来农场:净零之旅
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Royal Agricultural Society Of England
  • 通讯作者:
    Royal Agricultural Society Of England
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Jonathan Leake其他文献

Counting matchings via capacity-preserving operators
通过容量保留运算符计算匹配项
  • DOI:
    10.1017/s0963548321000122
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    L. Gurvits;Jonathan Leake
  • 通讯作者:
    Jonathan Leake
Lower bounds for contingency tables via Lorentzian polynomials
通过洛伦兹多项式得出列联表的下界
A Representation Theoretic Explanation of the Borcea-Br\"and\'en Characterization and Grace's Theorem, and New Results
  • DOI:
  • 发表时间:
    2017-06
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jonathan Leake
  • 通讯作者:
    Jonathan Leake
Capacity bounds on integral flows and the Kostant partition function
积分流的容量界限和 Kostant 配分函数
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jonathan Leake;Alejandro H. Morales
  • 通讯作者:
    Alejandro H. Morales
A Polynomial-Time Algorithm and Applications for Matrix Sampling from Harish-Chandra-Itzykson-Zuber Densities
Harish-Chandra-Itzykson-Zuber 密度矩阵采样的多项式时间算法及应用
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jonathan Leake;Colin S. McSwiggen;Nisheeth K. Vishnoi
  • 通讯作者:
    Nisheeth K. Vishnoi

Jonathan Leake的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Jonathan Leake', 18)}}的其他基金

Restoring soil quality through re-integration of leys and sheep into arable rotations
通过将地粒和羊重新纳入耕地轮作来恢复土壤质量
  • 批准号:
    BB/R021716/1
  • 财政年份:
    2019
  • 资助金额:
    $ 89.49万
  • 项目类别:
    Research Grant
SoilBioHedge: harnessing hedgerow soil biodiversity for restoration of arable soil quality and resilience to climatic extremes and land use changes
SoilBioHedge:利用树篱土壤生物多样性恢复耕地土壤质量和抵御极端气候和土地利用变化的能力
  • 批准号:
    NE/M017044/1
  • 财政年份:
    2015
  • 资助金额:
    $ 89.49万
  • 项目类别:
    Research Grant
Evolutionary rise of deep-rooting forests and enhanced chemical weathering: Quantitative investigations into the current paradigm
深根森林的进化崛起和化学风化的增强:对当前范式的定量研究
  • 批准号:
    NE/J007471/1
  • 财政年份:
    2012
  • 资助金额:
    $ 89.49万
  • 项目类别:
    Research Grant
Grow your own - health risks and benefits of producing and consuming your own food in urban areas
自己种植——在城市地区生产和消费自己的食物的健康风险和好处
  • 批准号:
    NE/E009352/1
  • 财政年份:
    2007
  • 资助金额:
    $ 89.49万
  • 项目类别:
    Research Grant

相似海外基金

Combining eye-tracking and comparative judgments to identify proficiency differences for more effective language learning
结合眼动追踪和比较判断来识别熟练程度差异,以实现更有效的语言学习
  • 批准号:
    24K16140
  • 财政年份:
    2024
  • 资助金额:
    $ 89.49万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
STEM Teacher Effectiveness and Retention in High-Need Schools: Combining Equity & Ecological Frameworks
高需求学校的 STEM 教师效能和保留率:结合公平
  • 批准号:
    2345129
  • 财政年份:
    2024
  • 资助金额:
    $ 89.49万
  • 项目类别:
    Continuing Grant
Screening of environmentally friendly quantum-nanocrystals for energy and bioimaging applications by combining experiment and theory with machine learning
通过将实验和理论与机器学习相结合,筛选用于能源和生物成像应用的环保量子纳米晶体
  • 批准号:
    23K20272
  • 财政年份:
    2024
  • 资助金额:
    $ 89.49万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Combining two unique AI platforms for the discovery of novel genetic therapeutic targets & preclinical validation of synthetic biomolecules to treat Acute myeloid leukaemia (AML).
结合两个独特的人工智能平台来发现新的基因治疗靶点
  • 批准号:
    10090332
  • 财政年份:
    2024
  • 资助金额:
    $ 89.49万
  • 项目类别:
    Collaborative R&D
Collaborative Research:CIF:Small:Acoustic-Optic Vision - Combining Ultrasonic Sonars with Visible Sensors for Robust Machine Perception
合作研究:CIF:Small:声光视觉 - 将超声波声纳与可见传感器相结合,实现强大的机器感知
  • 批准号:
    2326905
  • 财政年份:
    2024
  • 资助金额:
    $ 89.49万
  • 项目类别:
    Standard Grant
Combining Machine Learning Explanation Methods with Expectancy-Value Theory to Identify Tailored Interventions for Engineering Student Persistence
将机器学习解释方法与期望值理论相结合,确定针对工程学生坚持的定制干预措施
  • 批准号:
    2335725
  • 财政年份:
    2024
  • 资助金额:
    $ 89.49万
  • 项目类别:
    Standard Grant
Combining structural biology and genetics to understand the function of a multi-gene family expanded in neglected human malaria parasites
结合结构生物学和遗传学来了解在被忽视的人类疟疾寄生虫中扩展的多基因家族的功能
  • 批准号:
    MR/Y012895/1
  • 财政年份:
    2024
  • 资助金额:
    $ 89.49万
  • 项目类别:
    Research Grant
Risk Assuring Future Structure Critical Systems: Combining 21st Century Science with Engineering Intuition - Renewal
确保未来结构关键系统的风险:将 21 世纪科学与工程直觉相结合 - Renewal
  • 批准号:
    MR/Y020235/1
  • 财政年份:
    2024
  • 资助金额:
    $ 89.49万
  • 项目类别:
    Fellowship
Collaborative Research:CIF:Small: Acoustic-Optic Vision - Combining Ultrasonic Sonars with Visible Sensors for Robust Machine Perception
合作研究:CIF:Small:声光视觉 - 将超声波声纳与可见传感器相结合,实现强大的机器感知
  • 批准号:
    2326904
  • 财政年份:
    2024
  • 资助金额:
    $ 89.49万
  • 项目类别:
    Standard Grant
Co-creating digital education about parenting and father-inclusive practice: combining QL impact research and commercialisation for the social good
共同创建有关育儿和父亲包容性实践的数字教育:将 QL 影响研究与商业化相结合,造福社会
  • 批准号:
    MR/Y00356X/1
  • 财政年份:
    2024
  • 资助金额:
    $ 89.49万
  • 项目类别:
    Fellowship
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了