Wheat pre-breeding at NIAB: from germplasm to genomics. Alison Bentley

Size: px
Start display at page:

Download "Wheat pre-breeding at NIAB: from germplasm to genomics. Alison Bentley"

Transcription

1 Wheat pre-breeding at NIAB: from germplasm to genomics Alison Bentley

2 NIAB wheat pre-breeding 1. Flowering time 2. Re-synthesis 3. MAGIC

3 NIAB wheat pre-breeding 1. Flowering time 2. Re-synthesis 3. MAGIC

4 Flowering time Why flowering time? Central to adaptation Early flowering varieties yield higher in hot, dry environments Climate change likely to effect areas with late season heat/drought stress Late flowering varieties perform well in environments with long growing seasons % Yield Change -1.8% +7.7% +33.0% Long Growing Season Short Growing Season

5 Photoperiod kb Genome coding region Ppd allele Allele donor Characteristic D Ppd - D1.e1 Ciano67/Soissons Early flowering A Ppd - A1.e1 Durum wheat Early flowering A B B Transposon Transposon Ppd - A1.e2 Ppd - B1.e1 Ppd - B1.e2 Durum wheat Recital Chinese Spring Early flowering Early flowering Early flowering B Transposon Ppd - B1.e3 Timstein Early flowering A ppd - A1.e1 Transposon D ppd - D1.4 D ppd - D1.5 Cappelle - Desprez Mercia Norstar Null allele? Neutral allele? Null allele? D ppd-d1.1 Synthetic wheat True wild - type allele Key: Deletion SNP

6 Understanding photoperiod response Bentley et al. (2011) Plant Breeding 130: Bentley et al. (2013) Journal of Experimental Botany 64:

7 Understanding photoperiod response Temp Treatment (Day) Temp (Night) Water T1_D1 18 C 15 C Field capacity T1_D2 18 C 15 C 50% F capacity T2_D1 23 C 18 C Field capacity T2_D2 23 C 18 C 50% F capacity

8 Understanding photoperiod response FT Ppd-A1a>Ppd-D1a>Ppd-B1a YLD Ppd-A1(0.06)>Ppd-D1(-0.53)>Ppd-B1(-1.97) FT Ppd-D1a>Ppd-A1a>Ppd-B1a YLD Ppd-B1(0.42)>Ppd-D1(0.21)>Ppd-A1(0.08) FT Ppd-A1a>Ppd-D1a>Ppd-B1a YLD Ppd-D1(2.72)>Ppd-B1(0.02)>Ppd-A1(-0.42) FT Ppd-D1a>Ppd-A1a>Ppd-B1a YLD Ppd-D1(1.89)>Ppd-B1(0.52)>Ppd-A1(0.18)

9 New understanding of photoperiod response? Ppd-D1a vs Ppd-D1b activate repress Pearce et al. BMC Plant Biology 2014, 14:368

10 NIAB wheat pre-breeding 1. Flowering time 2. Re-synthesis 3. MAGIC

11 Pre-breeding with CIMMYT synthetics 50 CIMMYT SHWs from ~440 crossed to Xi-19 and Paragon

12 NIAB re-synthesis and pre-breeding - WISP 1. Tetraploid diversity T. dicoccoides T. dicoccum T. durum 2. Novel diversity Ae. tauschii

13 Durum Ae. tauschii (AA, BB) x (DD) F 1 (ABD) Synthetic wheat (AA, BB, DD) Chromosome doubling NIAB Breeder s Toolkit Toolkit

14 KASP (LGC Genomics) ~7,000 SNPs iselect (Illumina) ~81,000 SNPs Axiom (Affymetrix) ~820,000 SNPs Winfield et al. (in press) Plant Biotechnology Journal

15 Days to GS Frequency Characterising Ae. tauschii diversity Number of tillers Ppd-D1 allele

16 Pre-breeding with NIAB synthetics Systematic crossing to Robigus (winter) and Paragon (spring). Development of 10,000 BC 1 F 5 pre-breeding lines (unselected). NAM analysis tools in development. Early generation selections/bulks available via the NIAB Breeder s Toolkit.

17 Developing Chromosome Segments Substitution Lines NIAB SHW-041 (Ent336) x Paragon WINTER 2012 F 1 x Paragon 1D 192 BC 1 F 1 Whole genome KASP; MAS 27 BC 1 F 1 27 BC 1 F 1 x Paragon 192 BC 2 F 1 Whole genome KASP; MAS 34 BC 2 F 1 34 BC 2 F 1 x Paragon 192 BC 3 F 1 Whole genome KASP; MAS 44 BC 3 F 1 44 BC 3 F 1 x Paragon BC 4 F 1 Genotyping; selfing SUMMER 2016 BC 4 F 3

18 NIAB wheat pre-breeding 1. Flowering time 2. Re-synthesis 3. MAGIC

19 MAGIC Multi-parent Advanced Generation InterCross complete pedigree

20 Frequency Mackay et al. (2014) G3 4: MAGIC line means Parent 2 Robigus Parent 1 Hereward Line/SNP 2A_SNP 3A_SNP 1A_SNP Alchemy R S S Brompton S S S Claire R S S Hereward S S R Rialto S R S Robigus S S S Soissons S S R Xi19 S R S MEL_1 R R R MEL_2 R R R Resistant progeny Marker BLUP (log2) Estimated effect 2D A A

21 Mapping Fusarium Head Blight (FHB) resistance

22

23 Variation in ear morphology: mapping in MAGIC Volume Surface area Internal density Relative position National Plant Phenomics Centre (Callum Scotson)

24 Generating the NIAB 8-way MAGIC map Gardner, Wittern and Mackay (submitted) A highly recombined, high-density, eight founder wheat MAGIC map reveals extensive segregation distortion and genomic locations of introgression segments.

25 Generating the NIAB 8-way MAGIC map Stringent error control on 90K iselect data, minimise amount of missing data Variable markers in MAGIC (MAGIC captures 81% of markers variable in UK wheat) Markers available for mapping Mapping 1. Recombination fractions calculated for co-dominant markers mpmap 2. Markers clustered into 300 groups using hierarchical clustering groups interactively combined to form 21 linkage groups 4. Linkage groups assigned to 21 chromosomes based on BLAST hits (IWGSC1), POPSEQ data(iwgsc2), 90k Consensus map (Wang et al 2014), MAGIC 9k map, Bristol deletion bins, Genome Zipper data 5. Chromosomes ordered interactively in mpmap 6. Unmapped dominant markers and markers previously dropped assigned to chromosomes by mapping them as traits. If mapped with log 10 P >16, then added to map on chromosome by chromosome basis, followed by reordering

26

27 3B physical vs genetic map distance

28 MAGIC QTL mapping - Awns

29 chisquare density per 10cM New opportunity to examine aspects of underlying genetic structure of UK wheat gene pool: blocks of markers detect known and unknown introgressions. These make mapping hard but their subsequent phenotypic characterisation and tagging in UK germplasm is easy. 800 Marker_density Segregation_distortion A 1B 1D 2A 2B 2D 3A 3B 3D 4A 4B 4D 5A 5B 5D 6A 6B 6D 7A 7B 7D

30 chisquare density per 10cM 800 Marker_density Segregation_distortion A 1B 1D 2A 2B 2D 3A 3B 3D 4A 4B 4D 5A 5B 5D 6A 6B 6D 7A 7B 7D

31 Investigating interspecific introgressions Robigus Important component of pedigrees in NW Europe Used to improve yield, OBM*, Septoria*, mildew, brown rust Pedigree thought to contain Triticum dicoccoides (wild emmer) Locations of introgressed fragments in Robigus (and its descendents) unknown Investigate Bristol University 820K Axiom array database ( Winfield et al. (2015) PBJ in press 17 known Robigus pedigree lines, 69 non-robigus pedigree lines 678 perfect Robigus markers assignable to chromosome

32 block size (number of markers) block size (number of markers) Investigating interspecific introgressions Perfect Robigus markers blocks (>1 marker) ordered by length Perfect Robigus markers blocks (>1 marker) ordered by length MAGIC 4AL SD linkage block (SD against Robigus allele) 23% of perfect Robigus markers in 820K dataset Perfect fit to biggest perfect Robigus linkage block 3x bigger than next largest block Also in Glasgow (contains T. dicoccoides) Matches all predictions of interspecific introgression fragment Instant MAGIC NILs

33 Gatsby

34 NIAB wheat pre-breeding 1. Flowering time 2. Re-synthesis 3. MAGIC

35 Association mapping European winter wheat Traits scored include: Yield Flowering time (GS55) Height Awns Ears/m 2 Tillering Establishment Winter kill Lodging Maturity Specific weight Thousand grain weight Grain protein content Callow, UK * * Arvalis, France Cambridge, UK * * Rosenthal, Germany

36 Association mapping European winter wheat FLOWERING TIME Ppd-D1a DArT Biogemma SNP DArT = 1,235 GbS = 108,871 Bentley et al. (2014) Theoretical and Applied Genetics 127:

37 Marco Scutari University of Oxford

38 Mackay et al. (2015) Food & Energy Security 4: 25-35

39 NIAB pre-breeding team Richard Horsnell Ahmad Shekhmous Tobias Barber Gemma Rose Phil Howell Fiona Leigh NIAB Trait Genetics Ian Mackay Keith Gardner Lukas Wittern (BBSRC/Cambridge/Bayer CropScience) Flowering time JIC (Dave Laurie, Adrian Turner) National Plant Phenomics Centre Anyela Carmargo-Rodriguez Re-synthesis CIMMYT University of Hohenheim WISP partners MAGIC Franziska Fischer/Marie Gantet (FHB) Funmi Ladejobi (Yield components) CSIRO (Rohan Shah/Emma Huang) Association mapping/gs TriticeaeGenome consortium Marco Scutari (Oxford) John Hickey (Roslin) Gregor Gorjanic (Roslin)

Plant Science into Practice: the Pre-Breeding Revolution

Plant Science into Practice: the Pre-Breeding Revolution Plant Science into Practice: the Pre-Breeding Revolution Alison Bentley, Ian Mackay, Richard Horsnell, Phil Howell & Emma Wallington @AlisonRBentley NIAB is active at every point of the crop improvement

More information

MAGIC wheat Multi-parent populations for the genetic dissection of agronomic traits

MAGIC wheat Multi-parent populations for the genetic dissection of agronomic traits MAGIC wheat Multi-parent populations for the genetic dissection of agronomic traits Alison Bentley, R Horsnell, P Howell, N Gosman, R Howells, G Rose, T Barber, J Cockram, A Greenland and I Mackay The

More information

Identifying and exploiting natural variation

Identifying and exploiting natural variation Identifying and exploiting natural variation New methods of fine mapping: association mapping MAGIC Methods for increasing diversity: synthetic wheat Advantages of new methods for fine mapping More efficient

More information

Designing Future Wheat A coordinated UK wheat programme

Designing Future Wheat A coordinated UK wheat programme Designing Future Wheat A coordinated UK wheat programme The emergence of modern wheat has left a trail of untapped variation for UK agriculture Modern varieties Artificial selection Wild relatives Triticum

More information

Improving barley and wheat germplasm for changing environments

Improving barley and wheat germplasm for changing environments AWARD NUMBER: 2011-68002-30029 Improving barley and wheat germplasm for changing environments Triticeae CAP (T-CAP) 56 participants, 28 institutions, 21 states Integration of wheat and barley research

More information

Durum Wheat Genomics and Breeding EWG Annual report and action plan

Durum Wheat Genomics and Breeding EWG Annual report and action plan Coordinating global research for wheat Durum Wheat Genomics and Breeding EWG Annual report and action plan NAME OF EXPERT WORKING GROUP EWG on DURUM WHEAT GENOMICS AND BREEDING LEADERSHIP & AUTHORSHIP

More information

Association Mapping in Wheat: Issues and Trends

Association Mapping in Wheat: Issues and Trends Association Mapping in Wheat: Issues and Trends Dr. Pawan L. Kulwal Mahatma Phule Agricultural University, Rahuri-413 722 (MS), India Contents Status of AM studies in wheat Comparison with other important

More information

International. Wheat Innovation Workshop

International. Wheat Innovation Workshop International 16 th - 17 th November 2015 Clermont-Ferrand, France Wheat Innovation Workshop Phenotyping for biomass potential, nutrient use efficiency and pest and pathogen resistance within the WISP

More information

Synthetic wheat. an underutilized genetic resource in Nordic wheat breeding. Morten Lillemo, IPM, UMB

Synthetic wheat. an underutilized genetic resource in Nordic wheat breeding. Morten Lillemo, IPM, UMB an underutilized genetic resource in Nordic wheat breeding Morten Lillemo, IPM, UMB 2111 2005 Wheat evolution There is a huge genetic diversity in Ae. tauschii Genetic diversity of bread wheat is low,

More information

The Interaction of Nitrogen with Yield in Wheat

The Interaction of Nitrogen with Yield in Wheat The Interaction of Nitrogen with Yield in Wheat Peter Werner, Claire Fremann, Guillaume Barral-Baron KWS UK Ltd Bill Thomas, Allan Booth, Luke Ramsay JHI SP1 Improving Nitrogen Use Efficiency In Wheat

More information

Understanding yield potential and bread making quality in bread wheat. Simon Griffiths Crop Genetics John Innes Centre

Understanding yield potential and bread making quality in bread wheat. Simon Griffiths Crop Genetics John Innes Centre Understanding yield potential and bread making quality in bread wheat Simon Griffiths Crop Genetics John Innes Centre The evolution of GRAIN yield and quality in wheat Ancient ield and quality alleles

More information

FHB Resistance in Durum -Progress and Challenge

FHB Resistance in Durum -Progress and Challenge FHB Resistance in Durum -Progress and Challenge Elias Elias, Shahryar Kianian, Shaobin Zhong, and Xiwen Cai North Dakota State University, Fargo, ND Steven Xu USDA-ARS, Fargo, ND Outline Sources of resistance

More information

Wheat Chromosome Engineering and Breeding Jianli Chen

Wheat Chromosome Engineering and Breeding Jianli Chen Wheat Chromosome Engineering and Breeding Jianli Chen Chromosome Engineering A process to transfer favorable alleles through inter-specific hybridization and interchange of chromatin using aneupolids Aneuploids?

More information

UK drought: WGIN Stakeholders Meeting. Clare Lister and Simon Griffiths 30/11/2017

UK drought: WGIN Stakeholders Meeting. Clare Lister and Simon Griffiths 30/11/2017 UK drought: why we need DT wheat! WGIN Stakeholders Meeting Clare Lister and Simon Griffiths 30/11/2017 UK drought: why we need DT wheat! WGIN Stakeholders Meeting Clare Lister and Simon Griffiths 30/11/2017

More information

I.1 The Principle: Identification and Application of Molecular Markers

I.1 The Principle: Identification and Application of Molecular Markers I.1 The Principle: Identification and Application of Molecular Markers P. Langridge and K. Chalmers 1 1 Introduction Plant breeding is based around the identification and utilisation of genetic variation.

More information

Dissecting the genetic basis of grain size in sorghum. Yongfu Tao DO NOT COPY. Postdoctoral Research Fellow

Dissecting the genetic basis of grain size in sorghum. Yongfu Tao DO NOT COPY. Postdoctoral Research Fellow Dissecting the genetic basis of grain size in sorghum Yongfu Tao Postdoctoral Research Fellow Why study grain size? The importance of grain size: Key yield component Key quality issue for grain growers

More information

By the end of this lecture you should be able to explain: Some of the principles underlying the statistical analysis of QTLs

By the end of this lecture you should be able to explain: Some of the principles underlying the statistical analysis of QTLs (3) QTL and GWAS methods By the end of this lecture you should be able to explain: Some of the principles underlying the statistical analysis of QTLs Under what conditions particular methods are suitable

More information

Traits and technologies to design crop breeding systems for climate change

Traits and technologies to design crop breeding systems for climate change Genotype Breeding method Spectral signature Phenotype (yield) Environment Stress pattern Traits and technologies to design crop breeding systems for climate change SC Chapman1, MF Dreccer1, K Chenu2, D

More information

Molecular and Applied Genetics

Molecular and Applied Genetics Molecular and Applied Genetics Ian King, Iain Donnison, Helen Ougham, Julie King and Sid Thomas Developing links between rice and the grasses 6 Gene isolation 7 Informatics 8 Statistics and multivariate

More information

Gene Mapping in Natural Plant Populations Guilt by Association

Gene Mapping in Natural Plant Populations Guilt by Association Gene Mapping in Natural Plant Populations Guilt by Association Leif Skøt What is linkage disequilibrium? 12 Natural populations as a tool for gene mapping 13 Conclusion 15 POPULATIONS GUILT BY ASSOCIATION

More information

Genomic Selection: A Step Change in Plant Breeding. Mark E. Sorrells

Genomic Selection: A Step Change in Plant Breeding. Mark E. Sorrells Genomic Selection: A Step Change in Plant Breeding Mark E. Sorrells People who contributed to research in this presentation Jean-Luc Jannink USDA/ARS, Cornell University Elliot Heffner Pioneer Hi-Bred

More information

University of Bristol - Explore Bristol Research

University of Bristol - Explore Bristol Research Allen, A. M., Winfield, M. O., Burridge, A. J., Downie, R. C., Benbow, H. L., Barker, G. L. A.,... Edwards, K. J. (2017). Characterisation of a Wheat Breeders Array suitable for high throughput SNP genotyping

More information

Module 1 Principles of plant breeding

Module 1 Principles of plant breeding Covered topics, Distance Learning course Plant Breeding M1-M5 V2.0 Dr. Jan-Kees Goud, Wageningen University & Research The five main modules consist of the following content: Module 1 Principles of plant

More information

A high density GBS map of bread wheat and its application for genetic improvement of the crop

A high density GBS map of bread wheat and its application for genetic improvement of the crop A high density GBS map of bread wheat and its application for genetic improvement of the crop Sukhwinder-Singh Wheat-Lead Seeds of Discovery (suk.singh@cgiar.org) International Maize and Wheat Improvement

More information

Public-Private Partnership in Pre-Breeding

Public-Private Partnership in Pre-Breeding Public-Private Partnership in Pre-Breeding Combining Knowledge from Field and Laboratory for Pre-Breeding in Barley Ahmed Jahoor and Therese Bengtsson PPP barley field trial, Iceland 2012. Photo: Magnus

More information

HCS806 Summer 2010 Methods in Plant Biology: Breeding with Molecular Markers

HCS806 Summer 2010 Methods in Plant Biology: Breeding with Molecular Markers HCS806 Summer 2010 Methods in Plant Biology: Breeding with Molecular Markers Lecture 7. Populations The foundation of any crop improvement program is built on populations. This session will explore population

More information

AlphaSim software for

AlphaSim software for AlphaSim software for simulating plant and animal breeding programs www.alphagenes.roslin.ed.ac.uk Serap Gonen*, Mara Battagin, Diarmaid de Burca, Chris Gaynor, Janez Jenko, David L Wilson, Anne- Michelle

More information

A brief introduction to Marker-Assisted Breeding. a BASF Plant Science Company

A brief introduction to Marker-Assisted Breeding. a BASF Plant Science Company A brief introduction to Marker-Assisted Breeding a BASF Plant Science Company Gene Expression DNA is stored in chromosomes within the nucleus of each cell RNA Cell Chromosome Gene Isoleucin Proline Valine

More information

Die Marktplatzpyramide in Karlsruhe. Pyramiding of target alleles PhD students Summer Seminar 2014 Wolfgang Link

Die Marktplatzpyramide in Karlsruhe. Pyramiding of target alleles PhD students Summer Seminar 2014 Wolfgang Link Die Marktplatzpyramide in Karlsruhe Pyramiding of target alleles PhD students Summer Seminar 2014 Wolfgang Link 1 Genomic selection is revolutionizing both animal and plant breeding Genomic selection in

More information

High density genotyping and phenotyping data: challenges of leveraging novel technologies for the valorization of PGR

High density genotyping and phenotyping data: challenges of leveraging novel technologies for the valorization of PGR High density genotyping and phenotyping data: challenges of leveraging novel technologies for the valorization of PGR Nils Stein, Joel Kuon, Uwe Scholz, Martin Mascher, Benjamin Kilian, Kerstin Neumann,

More information

latestdevelopments relevant for the Ag sector André Eggen Agriculture Segment Manager, Europe

latestdevelopments relevant for the Ag sector André Eggen Agriculture Segment Manager, Europe Overviewof Illumina s latestdevelopments relevant for the Ag sector André Eggen Agriculture Segment Manager, Europe Seminar der Studienrichtung Tierwissenschaften, TÜM, July 1, 2009 Overviewof Illumina

More information

Identifying the functional bases of trait variation in Brassica napus using Associative Transcriptomics

Identifying the functional bases of trait variation in Brassica napus using Associative Transcriptomics Brassica genome structure and evolution Genome framework for association genetics Establishing marker-trait associations 31 st March 2014 GENOME RELATIONSHIPS BETWEEN SPECIES U s TRIANGLE 31 st March 2014

More information

Genetic dissection of complex traits, crop improvement through markerassisted selection, and genomic selection

Genetic dissection of complex traits, crop improvement through markerassisted selection, and genomic selection Genetic dissection of complex traits, crop improvement through markerassisted selection, and genomic selection Awais Khan Adaptation and Abiotic Stress Genetics, Potato and sweetpotato International Potato

More information

USDA-ARS/ U.S. Wheat and Barley Scab Initiative FY16 Final Performance Report Due date: July 28, USWBSI Individual Project(s)

USDA-ARS/ U.S. Wheat and Barley Scab Initiative FY16 Final Performance Report Due date: July 28, USWBSI Individual Project(s) USDA-ARS/ U.S. Wheat and Barley Scab Initiative Due date: July 28, 2017 Cover Page Principle Investigator (PI): Brian Steffenson Institution: University of Minnesota E-mail: bsteffen@umn.edu Phone: 612-325-4735

More information

Enhancing diversity in UK wheat through a public sector pre-breeding programme

Enhancing diversity in UK wheat through a public sector pre-breeding programme Enhancing diversity in UK wheat through a public sector pre-breeding programme Part 1A Previous research track record This proposal brings together internationally renowned experts in wheat research with

More information

Improving yield and quality traits of durum wheat by introgressing chromosome segments from hexaploid wheat

Improving yield and quality traits of durum wheat by introgressing chromosome segments from hexaploid wheat Improving yield and quality traits of durum wheat by introgressing chromosome segments from hexaploid wheat J. Ma 1,3 *, C.Y. Zhang 2 *, G.J. Yan 2,3 and C.J. Liu 1,2,3 1 Plant Industry, CSIRO, Brisbane,

More information

Funded by the Overseas Development Administration (ODA)

Funded by the Overseas Development Administration (ODA) Centre for Arid Zones Studies, University of Wales, UK Cambridge Laboratory, Norwich, UK ICRISAT, India Funded by the Overseas Development Administration (ODA) Early papers on QTL mapping Staple food crop

More information

Climate change: Can wheat beat the heat? The future of wheat breeding in Europe

Climate change: Can wheat beat the heat? The future of wheat breeding in Europe Climate change: Can wheat beat the heat? The future of wheat breeding in Europe Dr. Richard Summers Cereal Breeding Lead RAGT 2n (Vice Chairman British Society of Plant Breeders NIAB Board Member) Rouergue

More information

Gene Discovery For UK Wheat Farming. Luzie Wingen, Simon Griffiths WGIN Stakeholder Meeting RRes 22 nd November 2011

Gene Discovery For UK Wheat Farming. Luzie Wingen, Simon Griffiths WGIN Stakeholder Meeting RRes 22 nd November 2011 Gene Discovery For UK Wheat Farming Luzie Wingen, Simon Griffiths WGIN Stakeholder Meeting RRes 22 nd November 2011 Overview Long term challenges to UK wheat farming The potential contribution of genetics

More information

Potential of human genome sequencing. Paul Pharoah Reader in Cancer Epidemiology University of Cambridge

Potential of human genome sequencing. Paul Pharoah Reader in Cancer Epidemiology University of Cambridge Potential of human genome sequencing Paul Pharoah Reader in Cancer Epidemiology University of Cambridge Key considerations Strength of association Exposure Genetic model Outcome Quantitative trait Binary

More information

USWBSI Barley CP Milestone Matrix Updated

USWBSI Barley CP Milestone Matrix Updated USWBSI Barley CP Milestone Matrix Updated 10-10-13 RA: Variety Development and Host Resistance (VDHR) CP Objective 2: Map Novel QTL for resistance to FHB in barley BS, KS Dec 2013 Make initial crosses

More information

Nutrient use efficiency in wheat What are the challenges?

Nutrient use efficiency in wheat What are the challenges? Rothamsted Research where knowledge grows Nutrient use efficiency in wheat What are the challenges? Malcolm J. Hawkesford Crop Science Workshop, May, 2014 Outline: some NUE challenges? Yield and NUE Link

More information

A. COVER PAGE. Oswaldo Chicaiza, Alicia del Blanco (50%), Xiaoqin Zhang (70%), and Marcelo Soria (20%).

A. COVER PAGE. Oswaldo Chicaiza, Alicia del Blanco (50%), Xiaoqin Zhang (70%), and Marcelo Soria (20%). A. COVER PAGE PROJECT TITLE Development of wheat varieties for California 2017-2018 PRINCIPAL INVESTIGATOR Jorge Dubcovsky OTHER INVESTIGATORS Oswaldo Chicaiza, Alicia del Blanco (50%), Xiaoqin Zhang (70%),

More information

Traditional Genetic Improvement. Genetic variation is due to differences in DNA sequence. Adding DNA sequence data to traditional breeding.

Traditional Genetic Improvement. Genetic variation is due to differences in DNA sequence. Adding DNA sequence data to traditional breeding. 1 Introduction What is Genomic selection and how does it work? How can we best use DNA data in the selection of cattle? Mike Goddard 5/1/9 University of Melbourne and Victorian DPI of genomic selection

More information

Question. In the last 100 years. What is Feed Efficiency? Genetics of Feed Efficiency and Applications for the Dairy Industry

Question. In the last 100 years. What is Feed Efficiency? Genetics of Feed Efficiency and Applications for the Dairy Industry Question Genetics of Feed Efficiency and Applications for the Dairy Industry Can we increase milk yield while decreasing feed cost? If so, how can we accomplish this? Stephanie McKay University of Vermont

More information

The international effort to sequence the 17Gb wheat genome: Yes, Wheat can!

The international effort to sequence the 17Gb wheat genome: Yes, Wheat can! ACTTGTGCATAGCATGCAATGCCAT ATATAGCAGTCTGCTAAGTCTATAG CAGACCCTCAACGTGGATCATCCGT AGCTAGCCATGACATTGATCCTGAT TTACACCATGTACTATCGAGAGCAG TACTACCATGTTACGATCAAAGCCG TTACGATAGCATGAACTTGTGCATA GCATGCAATGCCATATATAGCAGTC

More information

Construction of high-density linkage maps for mapping quantitative trait loci for multiple traits in field pea (Pisum sativum L.)

Construction of high-density linkage maps for mapping quantitative trait loci for multiple traits in field pea (Pisum sativum L.) Gali et al. BMC Plant Biology (2018) 18:172 https://doi.org/10.1186/s12870-018-1368-4 RESEARCH ARTICLE Open Access Construction of high-density linkage maps for mapping quantitative trait loci for multiple

More information

Construction of dense linkage maps on the fly using early generation wheat breeding populations

Construction of dense linkage maps on the fly using early generation wheat breeding populations DOI 10.1007/s11032-014-0116-1 Construction of dense linkage maps on the fly using early generation wheat breeding populations J. T. Eckard J. L. Gonzalez-Hernandez S. Chao P. St Amand G. Bai Received:

More information

Mapping and Mapping Populations

Mapping and Mapping Populations Mapping and Mapping Populations Types of mapping populations F 2 o Two F 1 individuals are intermated Backcross o Cross of a recurrent parent to a F 1 Recombinant Inbred Lines (RILs; F 2 -derived lines)

More information

Genetic base broadening for cereals: problems and goals. Vytautas Ruzgas Lithuanian Institute of Agriculture

Genetic base broadening for cereals: problems and goals. Vytautas Ruzgas Lithuanian Institute of Agriculture Genetic base broadening for cereals: problems and goals Vytautas Ruzgas Lithuanian Institute of Agriculture The main reason why we should think about genetic base broadening The majority of top varieties

More information

Evolutionary breeding in wheat for low input systems

Evolutionary breeding in wheat for low input systems Evolutionary breeding in wheat for low input systems Martin S. Wolfe*, Kay Hinchsliffe*, Sarah M. Clarke*, Hannah Jones*, Zoë Haigh*, John Snape** and Lesley Fish** * Elm Farm Research Centre, ** John

More information

USDA-ARS/ U.S. Wheat and Barley Scab Initiative FY16 Final Performance Report Due date: July 28, USWBSI Individual Project(s) 7/26/2017

USDA-ARS/ U.S. Wheat and Barley Scab Initiative FY16 Final Performance Report Due date: July 28, USWBSI Individual Project(s) 7/26/2017 USDA-ARS/ U.S. Wheat and Barley Scab Initiative FY16 Final Performance Report Due date: July 28, 2017 Cover Page Principle Investigator (PI): Guihua Bai Institution: USDA-ARS E-mail: gbai@ksu.edu Phone:

More information

An Integrated Approach To Stabilising HFN In Wheat: Screens, Genes And Understanding = HFN LINK. Peter Jack, RAGT

An Integrated Approach To Stabilising HFN In Wheat: Screens, Genes And Understanding = HFN LINK. Peter Jack, RAGT An Integrated Approach To Stabilising HFN In Wheat: Screens, Genes And Understanding = HFN LINK Peter Jack, RAGT HFN LINK Presentation Project overview & Industry Role Peter Jack (RAGT) WP1 Analysis of

More information

Breeding Climate-Smart Cowpeas for West Africa

Breeding Climate-Smart Cowpeas for West Africa Breeding Climate-Smart Cowpeas for West Africa Phil Roberts University of California Riverside, USA Tim Close, Bao-Lam Huynh, Stefano Lonardi Maria Munoz-Amatriain, Steve Wanamaker UC Riverside Issa Drabo

More information

Association Mapping in Plants PLSC 731 Plant Molecular Genetics Phil McClean April, 2010

Association Mapping in Plants PLSC 731 Plant Molecular Genetics Phil McClean April, 2010 Association Mapping in Plants PLSC 731 Plant Molecular Genetics Phil McClean April, 2010 Traditional QTL approach Uses standard bi-parental mapping populations o F2 or RI These have a limited number of

More information

High-density SNP Genotyping Analysis of Broiler Breeding Lines

High-density SNP Genotyping Analysis of Broiler Breeding Lines Animal Industry Report AS 653 ASL R2219 2007 High-density SNP Genotyping Analysis of Broiler Breeding Lines Abebe T. Hassen Jack C.M. Dekkers Susan J. Lamont Rohan L. Fernando Santiago Avendano Aviagen

More information

Current Knowledge on the Genetics of Fusarium Head Blight Resistance in Wheat - Implications for Resistance Breeding

Current Knowledge on the Genetics of Fusarium Head Blight Resistance in Wheat - Implications for Resistance Breeding Current Knowledge on the Genetics of Fusarium Head Blight Resistance in Wheat - Implications for Resistance Breeding Hermann Buerstmayr, Barbara Steiner, Marc Lemmens BOKU-University of Natural Resources

More information

Identifying Genes Underlying QTLs

Identifying Genes Underlying QTLs Identifying Genes Underlying QTLs Reading: Frary, A. et al. 2000. fw2.2: A quantitative trait locus key to the evolution of tomato fruit size. Science 289:85-87. Paran, I. and D. Zamir. 2003. Quantitative

More information

Strength in Numbers: Resistance Gene Cassettes for Durable Disease Control in Cereals

Strength in Numbers: Resistance Gene Cassettes for Durable Disease Control in Cereals Strength in Numbers: Resistance Gene Cassettes for Durable Disease Control in Cereals Brian J. Steffenson Department of Plant Pathology University of Minnesota St. Paul 42 nd Barley Improvement Conference

More information

DESIGNS FOR QTL DETECTION IN LIVESTOCK AND THEIR IMPLICATIONS FOR MAS

DESIGNS FOR QTL DETECTION IN LIVESTOCK AND THEIR IMPLICATIONS FOR MAS DESIGNS FOR QTL DETECTION IN LIVESTOCK AND THEIR IMPLICATIONS FOR MAS D.J de Koning, J.C.M. Dekkers & C.S. Haley Roslin Institute, Roslin, EH25 9PS, United Kingdom, DJ.deKoning@BBSRC.ac.uk Iowa State University,

More information

Using many genes for selection and cross prediction in plant breeding

Using many genes for selection and cross prediction in plant breeding Using many genes for selection and cross prediction in plant breeding Howard Eagles Karen Cane Russell Eastwood Gil Hollamby Haydn Kuchel Meiqin Lu Peter Martin Peter Sharp Neil Vallance Marie Appelbee

More information

Application of Genotyping-By-Sequencing and Genome-Wide Association Analysis in Tetraploid Potato

Application of Genotyping-By-Sequencing and Genome-Wide Association Analysis in Tetraploid Potato Application of Genotyping-By-Sequencing and Genome-Wide Association Analysis in Tetraploid Potato Sanjeev K Sharma Cell and Molecular Sciences The 3 rd Plant Genomics Congress, London 12 th May 2015 Potato

More information

GDMS Templates Documentation GDMS Templates Release 1.0

GDMS Templates Documentation GDMS Templates Release 1.0 GDMS Templates Documentation GDMS Templates Release 1.0 1 Table of Contents 1. SSR Genotyping Template 03 2. DArT Genotyping Template... 05 3. SNP Genotyping Template.. 08 4. QTL Template.. 09 5. Map Template..

More information

QTL Mapping, MAS, and Genomic Selection

QTL Mapping, MAS, and Genomic Selection QTL Mapping, MAS, and Genomic Selection Dr. Ben Hayes Department of Primary Industries Victoria, Australia A short-course organized by Animal Breeding & Genetics Department of Animal Science Iowa State

More information

WGIN Management Meeting 6 th November University of Nottingham. Draft Minutes

WGIN Management Meeting 6 th November University of Nottingham. Draft Minutes WGIN Management Meeting 6 th November 2012 @ University of Nottingham Draft Minutes Attendees:- Peter Shewry, Kim Hammond-Kosack, Malcolm Hawkesford, Simon Griffiths, John Foulkes, Cathy Mumford, Matt

More information

Association genetics in barley

Association genetics in barley Association genetics in barley Ildikó Karsai, Hungarian Academy of Sciences, Martonvásár, Hungary Frank Ordon, Dragan Perovic, Julius Kühn Institute, Quedlinburg, Germany Günther Schweizer, Bianca Büttner,

More information

Use of Doubled Haploids in the Context of Genetic Resource Exploitation in Maize

Use of Doubled Haploids in the Context of Genetic Resource Exploitation in Maize Use of Doubled Haploids in the Context of Genetic Resource Exploitation in Maize Thomas Lübberstedt Iowa State University, 1204 Agronomy Hall, Ames, IA, 50010, THOMASL@iastate.edu http://www.plantbreeding.iastate.edu/dhf/dhf.htm

More information

Lecture 2: Height in Plants, Animals, and Humans. Michael Gore lecture notes Tucson Winter Institute version 18 Jan 2013

Lecture 2: Height in Plants, Animals, and Humans. Michael Gore lecture notes Tucson Winter Institute version 18 Jan 2013 Lecture 2: Height in Plants, Animals, and Humans Michael Gore lecture notes Tucson Winter Institute version 18 Jan 2013 Is height a polygenic trait? http://en.wikipedia.org/wiki/gregor_mendel Case Study

More information

Brassica carinata crop improvement & molecular tools for improving crop performance

Brassica carinata crop improvement & molecular tools for improving crop performance Brassica carinata crop improvement & molecular tools for improving crop performance Germplasm screening Germplasm collection and diversity What has been done in the US to date, plans for future Genetic

More information

Crash-course in genomics

Crash-course in genomics Crash-course in genomics Molecular biology : How does the genome code for function? Genetics: How is the genome passed on from parent to child? Genetic variation: How does the genome change when it is

More information

Backcross Breeding Usually associated with improving cultivar of self- pollinated species or an inbred

Backcross Breeding Usually associated with improving cultivar of self- pollinated species or an inbred Backcross Breeding The hybrid and the progenies in the subsequent generations are repeatedly backcrossed to one of the original parents used in the cross The objective of backcrosses method is to improve

More information

Genome-Wide Association Studies (GWAS): Computational Them

Genome-Wide Association Studies (GWAS): Computational Them Genome-Wide Association Studies (GWAS): Computational Themes and Caveats October 14, 2014 Many issues in Genomewide Association Studies We show that even for the simplest analysis, there is little consensus

More information

INVESTIGATORS: Chris Mundt, Botany and Plant Pathology, OSU C. James Peterson, Crop and Soil Science, OSU

INVESTIGATORS: Chris Mundt, Botany and Plant Pathology, OSU C. James Peterson, Crop and Soil Science, OSU STEEP PROGRESS REPORT RESEARCH PROJECT TITLE: Improving genetic resistance to Cephalosporium stripe of wheat through field screening and molecular mapping with novel genetic stocks INVESTIGATORS: Chris

More information

Glu-1 AND Glu-3 ALLELIC VARIABILITY OF GENUS Triticum GENETIC RESOURCES IN WHEAT BREEDING

Glu-1 AND Glu-3 ALLELIC VARIABILITY OF GENUS Triticum GENETIC RESOURCES IN WHEAT BREEDING Glu-1 AND Glu-3 ALLELIC VARIABILITY OF GENUS Triticum GENETIC RESOURCES IN WHEAT BREEDING D. OBREHT, M. DAVIDOVIC, Lj. VAPA University of Novi Sad, Faculty of Natural Sciences and Mathematics, 21000 Novi

More information

Discovery and development of exome-based, co-dominant single nucleotide polymorphism markers in hexaploid wheat (Triticum aestivum L.

Discovery and development of exome-based, co-dominant single nucleotide polymorphism markers in hexaploid wheat (Triticum aestivum L. Application note GAPP-0001 Discovery and development of exome-based, co-dominant single nucleotide polymorphism markers in hexaploid wheat (Triticum aestivum L.) Keith J. Edwards, University of Bristol,

More information

Modeling and simulation of plant breeding with applications in wheat and maize

Modeling and simulation of plant breeding with applications in wheat and maize The China - EU Workshop on Phenotypic Profiling and Technology Transfer on Crop Breeding, Barcelona, Spain, 17-21 September 2012 Modeling and simulation of plant breeding with applications in wheat and

More information

Answers to additional linkage problems.

Answers to additional linkage problems. Spring 2013 Biology 321 Answers to Assignment Set 8 Chapter 4 http://fire.biol.wwu.edu/trent/trent/iga_10e_sm_chapter_04.pdf Answers to additional linkage problems. Problem -1 In this cell, there two copies

More information

The 150+ Tomato Genome (re-)sequence Project; Lessons Learned and Potential

The 150+ Tomato Genome (re-)sequence Project; Lessons Learned and Potential The 150+ Tomato Genome (re-)sequence Project; Lessons Learned and Potential Applications Richard Finkers Researcher Plant Breeding, Wageningen UR Plant Breeding, P.O. Box 16, 6700 AA, Wageningen, The Netherlands,

More information

Genomic resources and gene/qtl discovery in cereals

Genomic resources and gene/qtl discovery in cereals Genomic resources and gene/qtl discovery in cereals Roberto Tuberosa Dept. of Agroenvironmental Sciences & Technology University of Bologna, Italy The ABDC Congress 1-4 March 2010 Gudalajara, Mexico Outline

More information

Genotype and Growth Stage Effects on Heat Stress Susceptibility in Wheat

Genotype and Growth Stage Effects on Heat Stress Susceptibility in Wheat Genotype and Growth Stage Effects on Heat Stress Susceptibility in Wheat Henry M Barber Monogram 2016 Twitter: @henrybarber h.m.barber@pgr.reading.ac.uk Heat Stress Grain set failure in field grown UK

More information

Supplementary Figure 1 Genotyping by Sequencing (GBS) pipeline used in this study to genotype maize inbred lines. The 14,129 maize inbred lines were

Supplementary Figure 1 Genotyping by Sequencing (GBS) pipeline used in this study to genotype maize inbred lines. The 14,129 maize inbred lines were Supplementary Figure 1 Genotyping by Sequencing (GBS) pipeline used in this study to genotype maize inbred lines. The 14,129 maize inbred lines were processed following GBS experimental design 1 and bioinformatics

More information

Genetics Effective Use of New and Existing Methods

Genetics Effective Use of New and Existing Methods Genetics Effective Use of New and Existing Methods Making Genetic Improvement Phenotype = Genetics + Environment = + To make genetic improvement, we want to know the Genetic value or Breeding value for

More information

Final Project Summary

Final Project Summary Project title PhD: Understanding the genetics of wheat yield to deploy high and stable yielding wheat varieties across UK environments Project number 211130023 Final Project Report SR45 Start date Oct

More information

SAMPLE MIDTERM QUESTIONS (Prof. Schoen s lectures) Use the information below to answer the next two questions:

SAMPLE MIDTERM QUESTIONS (Prof. Schoen s lectures) Use the information below to answer the next two questions: SAMPLE MIDTERM QUESTIONS (Prof. Schoen s lectures) Use the information below to answer the next two questions: Assume that high blood pressure is inherited as an autosomal dominant trait. You genotype

More information

Development of Early Maturing GEM lines with Value Added Traits: Moving U.S. Corn Belt GEM Germplasm Northward

Development of Early Maturing GEM lines with Value Added Traits: Moving U.S. Corn Belt GEM Germplasm Northward Development of Early Maturing GEM lines with Value Added Traits: Moving U.S. Corn Belt GEM Germplasm Northward Marcelo J. Carena Department of Plant Sciences, North Dakota State University (NDSU) I am

More information

Experimental Design and Sample Size Requirement for QTL Mapping

Experimental Design and Sample Size Requirement for QTL Mapping Experimental Design and Sample Size Requirement for QTL Mapping Zhao-Bang Zeng Bioinformatics Research Center Departments of Statistics and Genetics North Carolina State University zeng@stat.ncsu.edu 1

More information

MAS refers to the use of DNA markers that are tightly-linked to target loci as a substitute for or to assist phenotypic screening.

MAS refers to the use of DNA markers that are tightly-linked to target loci as a substitute for or to assist phenotypic screening. Marker assisted selection in rice Introduction The development of DNA (or molecular) markers has irreversibly changed the disciplines of plant genetics and plant breeding. While there are several applications

More information

Trudy F C Mackay, Department of Genetics, North Carolina State University, Raleigh NC , USA.

Trudy F C Mackay, Department of Genetics, North Carolina State University, Raleigh NC , USA. Question & Answer Q&A: Genetic analysis of quantitative traits Trudy FC Mackay What are quantitative traits? Quantitative, or complex, traits are traits for which phenotypic variation is continuously distributed

More information

Why do we need statistics to study genetics and evolution?

Why do we need statistics to study genetics and evolution? Why do we need statistics to study genetics and evolution? 1. Mapping traits to the genome [Linkage maps (incl. QTLs), LOD] 2. Quantifying genetic basis of complex traits [Concordance, heritability] 3.

More information

Plant breeding programs producing inbred lines have two

Plant breeding programs producing inbred lines have two Published August 3, 2017 RESEARCH A Two-Part Strategy for Using Genomic Selection to Develop Inbred Lines R. Chris Gaynor, Gregor Gorjanc, Alison R. Bentley, Eric S. Ober, Phil Howell, Robert Jackson,

More information

Chapter 32 Enlargement of the Genetic Diversity for Grain Quality in Bread Wheat Through Alien Introgression

Chapter 32 Enlargement of the Genetic Diversity for Grain Quality in Bread Wheat Through Alien Introgression Chapter 32 Enlargement of the Genetic Diversity for Grain Quality in Bread Wheat Through Alien Introgression Tatyana A. Pshenichnikova, Alexander V. Simonov, Ludmila V. Shchukina, Evgeniya V. Morozova,

More information

BICD100 Midterm (10/27/10) KEY

BICD100 Midterm (10/27/10) KEY BICD100 Midterm (10/27/10) KEY 1. Variation in tail length is characteristic of some dog breeds, such as Pembroke Welsh Corgis, which sometimes show a bob tail (short tail) phenotype (see illustration

More information

Development of SNP markers linked to the Downy Mildew Resistance Gene Pl 8 in Sunflower

Development of SNP markers linked to the Downy Mildew Resistance Gene Pl 8 in Sunflower Development of SNP markers linked to the Downy Mildew Resistance Gene Pl 8 in Sunflower Lili Qi 1, Zahirul Talukder 2 Brent Hulke 1, Michael Foley 1 1 USDA-ARS, Northern Crop Science Laboratory 2 NDSU,

More information

Inflorescence QTL, Canalization, and Selectable Cryptic Variation. Patrick J. Brown Department of Crop Sciences UIUC

Inflorescence QTL, Canalization, and Selectable Cryptic Variation. Patrick J. Brown Department of Crop Sciences UIUC Inflorescence QTL, Canalization, and Selectable Cryptic Variation Patrick J. Brown Department of Crop Sciences UIUC What is genetic architecture and why should we care? GENETIC ARCHITECTURE (ANY TRAIT

More information

Marker types. Potato Association of America Frederiction August 9, Allen Van Deynze

Marker types. Potato Association of America Frederiction August 9, Allen Van Deynze Marker types Potato Association of America Frederiction August 9, 2009 Allen Van Deynze Use of DNA Markers in Breeding Germplasm Analysis Fingerprinting of germplasm Arrangement of diversity (clustering,

More information

Package SoyNAM. October 1, 2018

Package SoyNAM. October 1, 2018 Type Package Package SoyNAM October 1, 2018 Title Soybean Nested Association Mapping Dataset Version 1.5 Date 2018-10-01 Author Alencar Xavier, William Beavis, James Specht, Brian Diers, Rouf Mian, Reka

More information

Introgression of genetic material from primary synthetic hexaploids into an Australian bread wheat (Triticum aestivum L.)

Introgression of genetic material from primary synthetic hexaploids into an Australian bread wheat (Triticum aestivum L.) Introgression of genetic material from primary synthetic hexaploids into an Australian bread wheat (Triticum aestivum L.) A thesis submitted in fulfilment of the requirements for the degree of Master of

More information

SNP genotyping and linkage map construction of the C417 mapping population

SNP genotyping and linkage map construction of the C417 mapping population STSM Scientific Report COST STSM Reference Number: COST-STSM-FA1104-16278 Reference Code: COST-STSM-ECOST-STSM-FA1104-190114-039679 SNP genotyping and linkage map construction of the C417 mapping population

More information

Genomics and Developing World Agriculture. John Witcombe CAZS Natural Resources University Wales, Bangor

Genomics and Developing World Agriculture. John Witcombe CAZS Natural Resources University Wales, Bangor Genomics and Developing World Agriculture John Witcombe CAZS Natural Resources University Wales, Bangor Molecular markers 1. Pearl millet - downy mildew and drought tolerance 2. Upland rice drought tolerance

More information

Supplemental Figure Legends

Supplemental Figure Legends Supplemental Figure Legends Fig. S1 Genetic linkage maps of T. gondii chromosomes using F1 progeny from the ME49 and VAND genetic cross. All the recombination points were identified by whole genome sequencing

More information