Usefulness of a Multiparent Advanced Generation Intercross Population With a Greatly Reduced Mating Design for Genetic Studies in Winter Wheat

Stadlmeier, Melanie; Hartl, L.; Mohler, Volker

doi:10.3389/fpls.2018.01825

Cited by 66 publications

(89 citation statements)

References 56 publications

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“…Genomic regions controlling quantitative traits such as plant height and hectoliter weight were identified in the population [45]. Since then, additional wheat MAGIC populations have been generated, including the "NIAB Elite MAGIC population" [49], the "NCCR durum wheat population" [55], the "MAGIC winter wheat population" (WM-800) [56], and the "Bavarian MAGIC" wheat population (BMWpop) [57]. These MAGIC populations have been exploited to identify different genomic regions underpinning yield and other agronomic traits.…”

Section: Introductionmentioning

confidence: 99%

Genetic Analysis Using a Multi-Parent Wheat Population Identifies Novel Sources of Septoria Tritici Blotch Resistance

Riaz

Kock-Appelgren

Hehir

et al. 2020

Genes

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Zymoseptoria tritici is the causative fungal pathogen of septoria tritici blotch (STB) disease of wheat (Triticum aestivum L.) that continuously threatens wheat crops in Ireland and throughout Europe. Under favorable conditions, STB can cause up to 50% yield losses if left untreated. STB is commonly controlled with fungicides; however, a combination of Z. tritici populations developing fungicide resistance and increased restrictions on fungicide use in the EU has led to farmers relying on fewer active substances. Consequently, this serves to drive the emergence of Z. tritici resistance against the remaining chemistries. In response, the use of resistant wheat varieties provides a more sustainable disease management strategy. However, the number of varieties offering an adequate level of resistance against STB is limited. Therefore, new sources of resistance or improved stacking of existing resistance loci are needed to develop varieties with superior agronomic performance. Here, we identified quantitative trait loci (QTL) for STB resistance in the eight-founder “NIAB Elite MAGIC” winter wheat population. The population was screened for STB response in the field under natural infection for three seasons from 2016 to 2018. Twenty-five QTL associated with STB resistance were identified in total. QTL either co-located with previously reported QTL or represent new loci underpinning STB resistance. The genomic regions identified and the linked genetic markers serve as useful resources for STB resistance breeding, supporting rapid selection of favorable alleles for the breeding of new wheat cultivars with improved STB resistance.

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Section: Introductionmentioning

confidence: 99%

Genetic Analysis Using a Multi-Parent Wheat Population Identifies Novel Sources of Septoria Tritici Blotch Resistance

Riaz

Kock-Appelgren

Hehir

et al. 2020

Genes

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“…In c, the inferred ancestry proportion probabilities (dosages) are emitted after imputation using the software, STITCH (Davies et al 2016). (Sannemann et al 2015;Mathew et al 2018;Afsharyan et al 2020) Bread wheat Plant height, hectolitre grain weight (Huang et al 2012) Awn presence/absence (Mackay et al 2014) SnTox 1 and SnTox3 sensitivity (Parastagonospora nodorum fungal effectors) (Cockram et al 2015;Downie et al 2018) ToxB sensitivity (Pyrenophora tritici-repentis fungal effector) (Corsi et al 2020) Coleoptile and shoot length (Rebetzke et al 2014) Grain dormancy (Barrero et al 2015) Inflorescence architecture and paired spikelet development (Boden et al 2015) Digitally extracted phenology and senescence (Camargo et al 2016) Powdery mildew resistance (seedling) (Stadlmeier et al 2018) Plant height (Sannemann et al 2018) Inflorescence architecture and development (Dixon et al 2018) Digitally extracted plant area, height, water use and senescence (Camargo et al 2018) Powdery mildew, Septoria tritici blotch and tan spot disease resistance (Stadlmeier et al 2019) Septoria nodorum blotch disease resistance (in leaf and glume tissues) (Lin et al 2020) Chinese mustard (Brassica juncea)…”

Section: Imputation In Mpps: the Power Of Haplotypesmentioning

confidence: 99%

Multi-parent populations in crops: a toolbox integrating genomics and genetic mapping with breeding

Scott¹,

Ladejobi²,

et al. 2020

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Crop populations derived from experimental crosses enable the genetic dissection of complex traits and support modern plant breeding. Among these, multi-parent populations now play a central role. By mixing and recombining the genomes of multiple founders, multi-parent populations combine many commonly sought beneficial properties of genetic mapping populations. For example, they have high power and resolution for mapping quantitative trait loci, high genetic diversity and minimal population structure. Many multi-parent populations have been constructed in crop species, and their inbred germplasm and associated phenotypic and genotypic data serve as enduring resources. Their utility has grown from being a tool for mapping quantitative trait loci to a means of providing germplasm for breeding programmes. Genomics approaches, including de novo genome assemblies and gene annotations for the population founders, have allowed the imputation of rich sequence information into the descendent population, expanding the breadth of research and breeding applications of multi-parent populations. Here, we report recent successes from crop multi-parent populations in crops. We also propose an ideal genotypic, phenotypic and germplasm 'package' that multi-parent populations should feature to optimise their use as powerful community resources for crop research, development and breeding. Over recent years, numerous multi-parent populations (MPPs) have been successfully developed in crops (Huang et al. 2015; Cockram and Mackay 2018). MPPs bring together key genomic, phenotypic and germplasm resources to form a

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“…With high‐throughput genotyping systems coming within grasp of even small‐scale laboratories, the type of the genetic material being employed for trait mapping studies assumes greater significance (Stadlmeier et al ., 2018). Biparental QTL mapping has seen tremendous success in understanding the genetic architecture of various important traits in different crop species (Bohra et al ., 2014a, b).…”

Section: Trait Discovery In the Post‐ngs Eramentioning

confidence: 99%

Genomic interventions for sustainable agriculture

Bohra

Jha

Godwin

et al. 2020

Plant Biotechnology Journal

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Agricultural production faces a Herculean challenge to feed the increasing global population. Food production systems need to deliver more with finite land and water resources while exerting the least negative influence on the ecosystem. The unpredictability of climate change and consequent changes in pests/pathogens dynamics aggravate the enormity of the challenge. Crop improvement has made significant contributions towards food security, and breeding climate-smart cultivars are considered the most sustainable way to accelerate food production. However, a fundamental change is needed in the conventional breeding framework in order to respond adequately to the growing food demands. Progress in genomics has provided new concepts and tools that hold promise to make plant breeding procedures more precise and efficient. For instance, reference genome assemblies in combination with germplasm sequencing delineate breeding targets that could contribute to securing future food supply. In this review, we highlight key breakthroughs in plant genome sequencing and explain how the presence of these genome resources in combination with gene editing techniques has revolutionized the procedures of trait discovery and manipulation. Adoption of new approaches such as speed breeding, genomic selection and haplotype-based breeding could overcome several limitations of conventional breeding. We advocate that strengthening varietal release and seed distribution systems will play a more determining role in delivering genetic gains at farmer's field. A holistic approach outlined here would be crucial to deliver steady stream of climate-smart crop cultivars for sustainable agriculture.

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Usefulness of a Multiparent Advanced Generation Intercross Population With a Greatly Reduced Mating Design for Genetic Studies in Winter Wheat

Cited by 66 publications

References 56 publications

Genetic Analysis Using a Multi-Parent Wheat Population Identifies Novel Sources of Septoria Tritici Blotch Resistance

Genetic Analysis Using a Multi-Parent Wheat Population Identifies Novel Sources of Septoria Tritici Blotch Resistance

Multi-parent populations in crops: a toolbox integrating genomics and genetic mapping with breeding

Genomic interventions for sustainable agriculture

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