Using Genetics, Genomics, and Breeding to Understand Diverse Maize Germplasm

Size: px
Start display at page:

Download "Using Genetics, Genomics, and Breeding to Understand Diverse Maize Germplasm"

Transcription

1 Using Genetics, Genomics, and Breeding to Understand Diverse Maize Germplasm Sherry A. Flint-Garcia United States Department of Agriculture Agriculture Research Service (USDA ARS) Corn breeding and genetic analysis of agronomic traits relies on phenotypic variation and genetic variation in the genes controlling these traits. My research program focuses on understanding genetic diversity in maize so we can mine beneficial alleles from the appropriate germplasm sources for continued corn improvement. The process of domestication that began 9000 years ago has had profound consequences on maize, where modern corn has moderately reduced genetic diversity across nearly all genes in the genome relative to teosinte, and severely reduced levels of diversity for key genes targeted by domestication. The question that remains is whether these reductions in genetic diversity have impacted our ability to make progress in corn breeding today. As an outcrossing species, maize has tremendous genetic variation compared to most other crops. The complementary combination of genome-wide association mapping (GWAS) approaches, large HapMap datasets, and germplasm resources are leading to important discoveries of the relationship between genetic diversity and phenotypic variation in inbred lines. However, among the traits targeted during domestication and breeding are many yield component traits, including number of ears, kernel row number, seed size, and kernel composition. Therefore, we must reintroduce variation from landraces and/or teosinte if we hope to learn how domestication has impacted these yield component traits, and yield itself.

2 Using Genetics, Genomics, and Breeding to Understand Diverse Maize Germplasm Sherry Flint-Garcia USDA-ARS Columbia, MO

3 Outline Introduction to Maize Domestication & Diversity Inbred Lines Teosinte, the wild ancestor Breeding with Zea

4 Maize Domestication Teosinte (ssp parviglumis) Landraces Inbred Lines Artificial Selection Domesticated from Zea mays ssp. parviglumis Single domestication event ~9,000 years ago in Mexico Intermediate form of landraces; populations adapted across the Americas to specific microclimates and/or human uses

5 Consequences of Artificial Selection Zea Synthetic Teosinte NILs Teosinte Synthetic Unselected (Neutral) Gene Domestication Gene Improvement Gene Teosintes Domestication Artificial Selection Maize Landraces Plant Breeding Maize Inbred Lines 98% (~49,000) maize genes Nested Association Mapping (NAM) Maize ATLAS Project 2% (~1,000) maize genes Germplasm Enhancement of Maize (GEM)

6 Inbred Lines

7 Linkage-Based QTL Mapping Genome Scan Identify genomic regions that contribute to variation and estimate QTL effects Position (cm) Parent 1 F 1 Parent 2 F 2 population Genotype Phenotype Statistics for Mapping u1622 u1552 b2277 m231 b2248 b1225 b2077 b1520 LOD Score

8 Association Analysis Utilize natural populations Exploit extensive historical recombination Ancestral chromosomes Subject Population Candidate gene approach: Gene X Line 1 A C G A G 1.3m Line 2 A C G A T 1.4m Line 3 A T A A G 1.5m Line 4 C T A G T 1.8m A T G G T 2.0m Line N A C G G G 2.5m

9 Linkage vs. Association Analysis Linkage (QTL) Mapping Structured population BC, F2, RIL, etc Analysis of 2 alleles High power Low resolution cm (10-20 Mb in maize) Genome scan Don t know anything about the genetics underlying the trait Nested Association Mapping Association Mapping Unstructured population Unrelated or distantly-related Analysis of many alleles Low power High resolution bp in maize * * Candidate gene testing Pathway or candidates previously identified. Used as a validation method. * Genome Scan Don t know anything about the genetics underlying the trait. Used as a discovery method * Depends on the species/population

10 NAM Founders 0.1 NC33 B115 I137TN 81-1 MEF IL677A Ia5125 IA2132 IL101 F2 EP1 F7 CO255 NC366 B52 SC213R NC238 GT112 Mp339 GA209 D940Y T232 U267Y CI28A B2 F2834T Mo24W MS1334 IDS28 I-29 SA SG18 Sg1533 IDS91 IDS69 F6 F44 Ab28A CML328 Oh603 A441-5 CML323 SC55 NC264 NC370 NC320 NC318 NC334 NC332 CML92 CML220 CML218 A272 Tzi9 CML77 TZI10 CML311 CML349 CML158Q CML154Q CML281 CML91 parvi-14 parvi-36 parvi-03 parvi-49 parvi-30 NC356 TX601 NC340 NC304 NC338 NC302 NC354 TZI18 A6 Ki44 Ki43 Ki2007 Ki21 Ki2021 Ki14 CML238 CML321 CML157Q CML322 CML331 CML261 CML341 CML45 CML11 CML10 Q6199 CML314 CML258 CML5 CML254 CML61 CML264 CML9 CML108 CML287 Tzi11 CML38 CML14 SC357 L578 T234 N6 E2558W K64 CI64 CI44 CI31A NC230 CI66 K55 R109B MoG L317 NC232 VaW6 CH Va85 CI90C M14 H99 Va99 PA91 Ky226 H95 Oh40B VA26 Pa762 A619 Va22 Va17 Va14 Va59 Va102 Va35 T8 A654 Pa880 SD44 CH9 Pa875 H49 W64A WF9 Mo1W Os420 R NC260 Mo44 CI21E Hy A661 ND246 WD A554 CO125 CO109 B75 DE-3 DE-2 DE1 B57 C123 C103 NC360 NC364 NC362 NC342 NC290A NC262 NC344 NC258 CI91B CI187-2 A682 K4 NC222 NC236 CI3A K148 Mt42 MS153 W401 A556 B77 CM37 CMV3 W117HT CM7 CO106 B103 R4 Ky228 B164 Mo46 Mo47 Mo45 Hi27 Yu796-NS I205 Tzi16 Tzi25 B79 B105 N7A SD40 N28HT A641 DE811 H105W A214N H100 A635 A632 A634 B14A H91 B68 B64 CM174 CM105 B104 B84 NC250 H84 B76 B37 N192 A679 B109 NC294 NC368 NC326 NC314 NC328 R229 A680 NC310 NC324 NC322 NC330 NC372 B73Htrhm B73 NC308 NC312 NC306 NC268 B46 B10 A239 C49A C49 A188 W153R A659 R177 W22 W182B CI NC348 NC298 NC352 NC336 NC296 NC346 NC296A NC292 SWEET POPCORN TROPICAL- SUBTROPICAL STIFF STALK NON STIFF STALK MIXED Based on 89 SSR loci MO17 Oh43E ssp. parviglumis NC300 NC350 P39 M37W HP301 CML277 B97 CML103 CML69 CML52 CML228 CML247 CML332 IL14H Ky21 Ki11 Ki3 MS71 Mo18W OH7B M162W Tx303 TZI8 CML333 NC358 OH43 Flint-Garcia, et al. (2005) Plant J.

11 NAM Development Association Mapping Linkage Mapping Yu, et al. (2008) Genetics; McMullen, et al. (2009) Science

12 Corn Tracker

13 NAM Kernel Composition Fiber Amylopectin Starch Amylose Jason Cook Zeins Protein Amino Acid Profiles Oil Fatty Acid Profiles NIR conducted by Syngenta Seeds, Inc.

14 LOD Oil Composition QTL in NAM Chr Joint Linkage Mapping - Oil Genetic Distance (cm) Joint Linkage Mapping - Oil LOD ,000,000 1,000,000,000 1,500,000,000 2,000,000,000 Physical Distance (bp) Cook, et al. (2012) Plant Phys.

15 Chr. 6 Oil Candidate: DGAT1-2 Encodes acyl-coa:diacylglycerol acyltransferase Fine mapped by Pioneer-Dupont Zheng, et al. (2008) Nature Genetics High parent = 19% oil High allele = 0.29% additive effect High allele has Phenylalanine insertion in C-terminus Oil 4.4% 5.3% 3.6% 3.9% Phenylalanine insertion Cook, et al. (2012) Plant Phys.

16 NAM Genome Wide Association (GWAS) 1.6 Million HapMap.v1 SNPs projected onto NAM Bootstrap (80%) sampling to test robustness of models GWAS - Oil 70.0 RMIP ,000,000 1,000,000,000 1,500,000,000 2,000,000,000 Physical Distance (bp) Cook, et al. (2012) Plant Phys.

17 DGAT 1-2 (Chr 6: 105,013, ,020,258) NAM Population: 24 HapMap.v1 SNPs in DGAT 281 Association Panel: 2 55K SNPs in DGAT (plus the 3 bp indel) M2: Phe Insertion M1 M5 M4 M3 Marker Trait Population Analysis Method BPP P-Value Effect M1 Oil 282 Assn. MLM (Q+K) - 1.2E M2 Oil 282 Assn. MLM (Q+K) - 9.9E M3 Oil NAM GWAS - Bootstrap M4 Oil 282 Assn. MLM (Q+K) - 4.3E M4 Starch NAM GWAS - Bootstrap M5 Oil NAM GWAS - Bootstrap M5 Starch NAM GWAS - Bootstrap Cook, et al. (2012) Plant Phys.

18 DGAT 1-2 (Chr6: 105,013, ,020,258) M5 M4 M3 M2 (indel) M1 = B73 Genotype = Non-B73 Genotype Rare allele? Cook, et al. (2012) Plant Phys.

19 Summary NAM Kernel Composition Genetic Architecture of Kernel Composition Traits Governed by many QTL (N = 21-26) with small to moderate effects GWAS results confirm many QTL DGAT is our favorite gene, but we still don t have the complete story! NAM In General We can identify the common alleles in maize, but still have problems with rare alleles. Cook, et al. (2012) Plant Phys.

20 Ames Plant Introduction Station Inbreds 2,815 inbred lines from the Ames PI Station Genotyping-by-sequencing (GBS) - 681,257 SNPs Romay, et al. (2013) Genome Biology

21 Ames Plant Introduction Station Inbreds More than half of the SNPs in collection are rare! Expired PVPs 48% 77% 42% 302 Association panel = 75%, NAM founders = 57%. Romay, et al. (2013) Genome Biology

22 Teosinte - The Wild Ancestor

23 Development of Teo Introgression Libraries 10 accessions F1 : B73 teosinte B73 teosinte (parviglumis) B73 teosinte F1 BC1 BC2 BC3 BC4

24 Library Development 10 libraries of 887 BC4S2/DH Near Isogenic Lines (NILs) Z031E0035 Illumina GoldenGate 768 SNP assay Z035E0012 BC4S4 NILs: GBS & RAD sequencing = 33, ,000 SNPs Lines to be released in 2013

25 Library Coverage c1 c2 c3 c4 c5 c6 c7 c8 c9 10 maize-teosinte libraries 804 BC4S2 NILs and 83 BC4DH NILs Each line: 2.3 chromosomal segments 4.1% of the teosinte genome 3.3X genome coverage c10 KEY

26 BC4S2 vs BC4DH from PI donor c1 c2 c3 c4 c5 c6 c7 c8 c9 c10 S2 DH S2 DH S2 DH S2 DH S2 DH S2 DH S2 DH S2 DH S2 DH S2 DH KEY

27 Applications of Teosinte NILs

28 Application 1. Empirical Genetics 1000 Selected Genes What do these selected genes do? What traits were targeted by artificial selection during domestication/breeding? Are selected genes important? Auxin response factor, ARF1 Tillering/branching? Diversity (π) Inbreds Teosinte (bp)

29 Application 2. QTL Mapping Phenotyped at up to 18 reps: Maturity, plant & ear height, kernel row number, kernel weight, kernel shape, leaf length-width, Zhengbin Liu Grain composition (protein, starch, oil) Avi Karn

30 Days to Anthesis NAM RILs Teosinte NILs

31 Kernel Row Number Pop Add. Eff.(rows) Z Z Z Z Z Z Z Z Z Z Pop Add. Eff.(rows) Z Z Z Z Z Z Z Z Z Z

32 Pop Add.Eff.(g) Z Z Z Z Z Z Z Z Seed Weight (50 kernels) Pop Add.Eff.(g) Z Z Z Z Z Z Z Z Pop Add.Eff.(g) Z Z Z Z Z Z Z Z

33 Application 3. Reintroduce Variation Percent of Kernel Weight Teosinte (N = 11) Landraces (N = 17) Inbred Lines (N = 27) β seed size γ α family Zein Profile Zeins Endosperm δ Embryo 10 0 Carbohydrate Protein Fat Biological hypothesis: A loss of genetic variation results in a loss of phenotypic variation. Breeding hypothesis: We can improve modern traits. Flint-Garcia et al. (2009) TAG

34 Teosinte NIL Collaborations Hibbard Corn Rootworm Resistance Harmon Circadian Clock Tracy Germination AgReliant Agronomic Traits Hoekenga Iron Bioavailability Buckler Flowering Nelson NCLB Balint-Kurti SCLB & GLS Smith Corn Smut Brutnell Shade Avoidance Dallo Mal de Rio Cuarto Virus Baxter Ionomics Turlings Terpenes & Armyworms

35 Breeding With Zea

36 Synthetic Populations NAM Synthetic Teosinte Synthetic Zea Synthetic B73 & NAM parents are inbreds, teosinte has NEVER been inbred

37 Zea Synthetic Inbreeding Depression 38% B73, 2% each NAM parent, 12% teosinte S0 Male S0 Female Selfed (S1) F pairs Full Sib (FS) F 0 Ginnie Morrison

38 Zea Synthetic Doubled Haploids 38% B73, 2% each NAM parent, 12% teosinte Anna Selby Genotype by GBS Identity by Descent (IBD) Doubled Haploids (DH) Per se Hybrids Association Analysis & Genomic Selection Goal: 2000 DH First 800+ in 2013 Another 700 in Puerto Rico AgReliant producing more 2014 trial: MO, NC, NY, IA

39 Crazy? Idea 7000 BC 2014 Agronomics Fertilizer Density Mechanization? ideotype Select only on yield

40 75% B73 (SS), 25% teosinte Teosinte Synthetic

41 Acknowledgements NSF Maize Diversity Project Syngenta Seeds AgReliant Genetics Susan Melia-Hancock, Kate Guill, Jason Cook, Zhengbin Liu, Ginnie Morrison, Christopher Bottoms, Avi Karn, Anna Selby

Factors Influencing the Composition/Metabolic Profile of Food from Plants

Factors Influencing the Composition/Metabolic Profile of Food from Plants Factors Influencing the Composition/Metabolic Profile of Food from Plants Sherry Flint-Garcia, PhD USDA Agricultural Research Service Sherry.Flint-Garcia@ars.usda.gov Conflict of Interest Statement As

More information

Supporting Online Material for

Supporting Online Material for www.sciencemag.org/cgi/content/full/325/5941/714/dc1 Supporting Online Material for The Genetic Architecture of Maize Flowering Time Edward S. Buckler, James B. Holland, Peter J. Bradbury, Charlotte B.

More information

New imputation strategies optimized for crop plants: FILLIN (Fast, Inbred Line Library ImputatioN) FSFHap (Full Sib Family Haplotype)

New imputation strategies optimized for crop plants: FILLIN (Fast, Inbred Line Library ImputatioN) FSFHap (Full Sib Family Haplotype) New imputation strategies optimized for crop plants: FILLIN (Fast, Inbred Line Library ImputatioN) FSFHap (Full Sib Family Haplotype) Kelly Swarts PAG Allele Mining 1/11/2014 Imputation is the projection

More information

Genetic diversity and population structure in rice. S. Kresovich 1,2 and T. Tai 3,5. Plant Breeding Dept, Cornell University, Ithaca, NY

Genetic diversity and population structure in rice. S. Kresovich 1,2 and T. Tai 3,5. Plant Breeding Dept, Cornell University, Ithaca, NY Genetic diversity and population structure in rice S. McCouch 1, A. Garris 1,2, J. Edwards 1, H. Lu 1,3 M Redus 4, J. Coburn 1, N. Rutger 4, S. Kresovich 1,2 and T. Tai 3,5 1 Plant Breeding Dept, Cornell

More information

Principles of QTL Mapping. M.Imtiaz

Principles of QTL Mapping. M.Imtiaz Principles of QTL Mapping M.Imtiaz Introduction Definitions of terminology Reasons for QTL mapping Principles of QTL mapping Requirements For QTL Mapping Demonstration with experimental data Merit of QTL

More information

Quantitative trait locus analysis for ear height in maize based on a recombinant inbred line population

Quantitative trait locus analysis for ear height in maize based on a recombinant inbred line population Quantitative trait locus analysis for ear height in maize based on a recombinant inbred line population Z.Q. Li 4,5, H.M. Zhang 1,4, X.P. Wu 1,4, Y. Sun 3,4 and X.H. Liu 2 1 Maize Research Institute, Shanxi

More information

Fei Lu. Post doctoral Associate Cornell University

Fei Lu. Post doctoral Associate Cornell University Fei Lu Post doctoral Associate Cornell University http://www.maizegenetics.net Genotyping by sequencing (GBS) is simple and cost effective 1. Digest DNA 2. Ligate adapters with barcodes 3. Pool DNAs 4.

More information

Wide variability in kernel composition, seed characteristics, and zein profiles among diverse maize inbreds, landraces, and teosinte

Wide variability in kernel composition, seed characteristics, and zein profiles among diverse maize inbreds, landraces, and teosinte Agronomy Publications Agronomy 10-2009 Wide variability in kernel composition, seed characteristics, and zein profiles among diverse maize inbreds, landraces, and teosinte Sherry A. Flint-Garcia University

More information

A mixed model based QTL / AM analysis of interactions (G by G, G by E, G by treatment) for plant breeding

A mixed model based QTL / AM analysis of interactions (G by G, G by E, G by treatment) for plant breeding Professur Pflanzenzüchtung Professur Pflanzenzüchtung A mixed model based QTL / AM analysis of interactions (G by G, G by E, G by treatment) for plant breeding Jens Léon 4. November 2014, Oulu Workshop

More information

Situation of corn in Myanmar

Situation of corn in Myanmar Situation of corn in Myanmar Phyu Phwe New Plant Variety Protection Unit Department of Agricultural Research(DAR) (2. 8.2016) Introduction Maize - second mandate cereal in Myanmar after rice Mainly utilized

More information

ZmCCT and the genetic basis of daylength adaptation underlying the post-domestication

ZmCCT and the genetic basis of daylength adaptation underlying the post-domestication Supplemental Information for: ZmCCT and the genetic basis of daylength adaptation underlying the post-domestication spread of maize Hsiao-Yi Hung, Laura Shannon, Feng Tian, Peter J. Bradbury, Charles Chen,

More information

Maize Genetics Cooperation Newsletter Vol Derkach 1

Maize Genetics Cooperation Newsletter Vol Derkach 1 Maize Genetics Cooperation Newsletter Vol 91 2017 Derkach 1 RELATIONSHIP BETWEEN MAIZE LANCASTER INBRED LINES ACCORDING TO SNP-ANALYSIS Derkach K. V., Satarova T. M., Dzubetsky B. V., Borysova V. V., Cherchel

More information

Nature Genetics: doi: /ng Supplementary Figure 1. The phenotypes of PI , BR121, and Harosoy under short-day conditions.

Nature Genetics: doi: /ng Supplementary Figure 1. The phenotypes of PI , BR121, and Harosoy under short-day conditions. Supplementary Figure 1 The phenotypes of PI 159925, BR121, and Harosoy under short-day conditions. (a) Plant height. (b) Number of branches. (c) Average internode length. (d) Number of nodes. (e) Pods

More information

(Genome-wide) association analysis

(Genome-wide) association analysis (Genome-wide) association analysis 1 Key concepts Mapping QTL by association relies on linkage disequilibrium in the population; LD can be caused by close linkage between a QTL and marker (= good) or by

More information

Genotype Imputation. Biostatistics 666

Genotype Imputation. Biostatistics 666 Genotype Imputation Biostatistics 666 Previously Hidden Markov Models for Relative Pairs Linkage analysis using affected sibling pairs Estimation of pairwise relationships Identity-by-Descent Relatives

More information

A species of plants. In maize 20 genes for male sterility are listed by

A species of plants. In maize 20 genes for male sterility are listed by THE INTERRELATION OF PLASMAGENES AND CHROMO- GENES IN POLLEN PRODUCTION IN MAIZE DONALD F. JONES Connecticut Agricultural Experiment Station, New Haven, Connecticut Received January 24, 195 IV INHERITED

More information

Eiji Yamamoto 1,2, Hiroyoshi Iwata 3, Takanari Tanabata 4, Ritsuko Mizobuchi 1, Jun-ichi Yonemaru 1,ToshioYamamoto 1* and Masahiro Yano 5,6

Eiji Yamamoto 1,2, Hiroyoshi Iwata 3, Takanari Tanabata 4, Ritsuko Mizobuchi 1, Jun-ichi Yonemaru 1,ToshioYamamoto 1* and Masahiro Yano 5,6 Yamamoto et al. BMC Genetics 2014, 15:50 METHODOLOGY ARTICLE Open Access Effect of advanced intercrossing on genome structure and on the power to detect linked quantitative trait loci in a multi-parent

More information

TASK 6.3 Modelling and data analysis support

TASK 6.3 Modelling and data analysis support Wheat and barley Legacy for Breeding Improvement TASK 6.3 Modelling and data analysis support FP7 European Project Task 6.3: How can statistical models contribute to pre-breeding? Daniela Bustos-Korts

More information

How to connect to CGIAR wheat (CIMMYT and ICARDA) CRP??- Public wheat breeding for developing world

How to connect to CGIAR wheat (CIMMYT and ICARDA) CRP??- Public wheat breeding for developing world Wheat breeding only exploits 10% of the diversity available The public sector can t breed elite varieties-how to connect to private sector breeders?? How to connect to CGIAR wheat (CIMMYT and ICARDA) CRP??-

More information

Inbred line development in landraces. Vijay Chaikam Sarah Hearne

Inbred line development in landraces. Vijay Chaikam Sarah Hearne Inbred line development in landraces Vijay Chaikam Sarah Hearne Inbred line development by recurrent selfing Generation Landrace Homozygosity 50% Months S1 75% 6 S2 87.5% 12 S3 93.75% 18 S4 96.875% 24

More information

Statistical issues in QTL mapping in mice

Statistical issues in QTL mapping in mice Statistical issues in QTL mapping in mice Karl W Broman Department of Biostatistics Johns Hopkins University http://www.biostat.jhsph.edu/~kbroman Outline Overview of QTL mapping The X chromosome Mapping

More information

MOLECULAR MAPS AND MARKERS FOR DIPLOID ROSES

MOLECULAR MAPS AND MARKERS FOR DIPLOID ROSES MOLECULAR MAPS AND MARKERS FOR DIPLOID ROSES Patricia E Klein, Mandy Yan, Ellen Young, Jeekin Lau, Stella Kang, Natalie Patterson, Natalie Anderson and David Byrne Department of Horticultural Sciences,

More information

7.2: Natural Selection and Artificial Selection pg

7.2: Natural Selection and Artificial Selection pg 7.2: Natural Selection and Artificial Selection pg. 305-311 Key Terms: natural selection, selective pressure, fitness, artificial selection, biotechnology, and monoculture. Natural Selection is the process

More information

ANALYSIS OF FLOWERING TIME, HYBRID VIGOR, YIELD, AND LODGING IN MAIZE. A Dissertation. Presented to the Faculty of the Graduate School

ANALYSIS OF FLOWERING TIME, HYBRID VIGOR, YIELD, AND LODGING IN MAIZE. A Dissertation. Presented to the Faculty of the Graduate School ANALYSIS OF FLOWERING TIME, HYBRID VIGOR, YIELD, AND LODGING IN MAIZE A Dissertation Presented to the Faculty of the Graduate School of Cornell University In Partial Fulfillment of the Requirements for

More information

Computational Approaches to Statistical Genetics

Computational Approaches to Statistical Genetics Computational Approaches to Statistical Genetics GWAS I: Concepts and Probability Theory Christoph Lippert Dr. Oliver Stegle Prof. Dr. Karsten Borgwardt Max-Planck-Institutes Tübingen, Germany Tübingen

More information

Germplasm. Introduction to Plant Breeding. Germplasm 2/12/2013. Master Gardener Training. Start with a seed

Germplasm. Introduction to Plant Breeding. Germplasm 2/12/2013. Master Gardener Training. Start with a seed Introduction to Plant Breeding Master Gardener Training Start with a seed Germplasm Germplasm The greatest service which can be rendered to any country is to add a useful plant to its culture -Thomas Jefferson

More information

Introduction to Plant Breeding. Master Gardener Training

Introduction to Plant Breeding. Master Gardener Training Introduction to Plant Breeding Master Gardener Training Start with a seed Germplasm Germplasm The greatest service which can be rendered to any country is to add a useful plant to its culture -Thomas Jefferson

More information

RFLP facilitated analysis of tiller and leaf angles in rice (Oryza sativa L.)

RFLP facilitated analysis of tiller and leaf angles in rice (Oryza sativa L.) Euphytica 109: 79 84, 1999. 1999 Kluwer Academic Publishers. Printed in the Netherlands. 79 RFLP facilitated analysis of tiller and leaf angles in rice (Oryza sativa L.) Zhikang Li 1,2,3, Andrew H. Paterson

More information

Lecture 1 Hardy-Weinberg equilibrium and key forces affecting gene frequency

Lecture 1 Hardy-Weinberg equilibrium and key forces affecting gene frequency Lecture 1 Hardy-Weinberg equilibrium and key forces affecting gene frequency Bruce Walsh lecture notes Introduction to Quantitative Genetics SISG, Seattle 16 18 July 2018 1 Outline Genetics of complex

More information

Lecture WS Evolutionary Genetics Part I 1

Lecture WS Evolutionary Genetics Part I 1 Quantitative genetics Quantitative genetics is the study of the inheritance of quantitative/continuous phenotypic traits, like human height and body size, grain colour in winter wheat or beak depth in

More information

A Decision to Branch Out Evolution and the Domestication of Maize

A Decision to Branch Out Evolution and the Domestication of Maize A Decision to Branch Out Evolution and the Domestication of Maize by Dongfang Wang Department of Biology Spelman College, Atlanta, GA Part I Maize vs. Teosinte Thanksgiving is Emily s favorite holiday.

More information

You are encouraged to answer/comment on other people s questions. Domestication conversion of plants or animals to domestic uses

You are encouraged to answer/comment on other people s questions. Domestication conversion of plants or animals to domestic uses The final exam: Tuesday, May 8 at 4:05-6:05pm in Ruttan Hall B35. 75 multiple choice questions for 150 points 50 questions from Lecture 20 27 25 questions directly from the first two exams. Key for exam

More information

Wheat Genetics and Molecular Genetics: Past and Future. Graham Moore

Wheat Genetics and Molecular Genetics: Past and Future. Graham Moore Wheat Genetics and Molecular Genetics: Past and Future Graham Moore 1960s onwards Wheat traits genetically dissected Chromosome pairing and exchange (Ph1) Height (Rht) Vernalisation (Vrn1) Photoperiodism

More information

4/26/18. Domesticated plants vs. their wild relatives. Lettuce leaf size/shape, fewer secondary compounds

4/26/18. Domesticated plants vs. their wild relatives. Lettuce leaf size/shape, fewer secondary compounds The final exam: Tuesday, May 8 at 4:05-6:05pm in Ruttan Hall B35. 75 multiple choice questions for 150 points 50 questions from Lecture 20 27 25 questions directly from the first two exams. Key for exam

More information

Supplementary Figure 1. Phenotype of the HI strain.

Supplementary Figure 1. Phenotype of the HI strain. Supplementary Figure 1. Phenotype of the HI strain. (A) Phenotype of the HI and wild type plant after flowering (~1month). Wild type plant is tall with well elongated inflorescence. All four HI plants

More information

Climate Change and Plant Reproduction

Climate Change and Plant Reproduction Quantitative Trait Loci Mapping of Reproductive Traits Involved in Heat Stress Responses in Arabidopsis : Implications for Global Climate Change and Plant Reproduction Lazar Pavlovic, Greta Chiu, Jeffrey

More information

Keywords: genetic variance; heritability; QTL mapping

Keywords: genetic variance; heritability; QTL mapping (2012) 108, 490 499 & 2012 Macmillan Publishers Limited All rights reserved 0018-067X/12 www.nature.com/hdy ORIGINAL ARTICLE The relationship between parental genetic or phenotypic divergence and progeny

More information

Developing and implementing molecular markers in perennial ryegrass breeding

Developing and implementing molecular markers in perennial ryegrass breeding Developing and implementing molecular markers in perennial ryegrass breeding K.F. Smith 1,3, J.W. Forster 2,3, T.A. Ciavarella 1,3, J.L. Dumsday 2, M.P. Dupal 2,3, E.S. Jones 2,3, B.D. Kirkwood 1,3, A.

More information

BREEDING, GENETICS, AND PHYSIOLOGY. Phenotypic Analysis of the 2006 MY2 Mapping Population in Arkansas

BREEDING, GENETICS, AND PHYSIOLOGY. Phenotypic Analysis of the 2006 MY2 Mapping Population in Arkansas BREEDING, GENETICS, AND PHYSIOLOGY Phenotypic Analysis of the 2006 MY2 Mapping Population in Arkansas E.J. Boza, K.A.K. Moldenhauer, R.D. Cartwright, S. Linscombe, J.H. Oard, and M.M. Blocker ABSTRACT

More information

Calculation of IBD probabilities

Calculation of IBD probabilities Calculation of IBD probabilities David Evans University of Bristol This Session Identity by Descent (IBD) vs Identity by state (IBS) Why is IBD important? Calculating IBD probabilities Lander-Green Algorithm

More information

Big Idea #1: The process of evolution drives the diversity and unity of life

Big Idea #1: The process of evolution drives the diversity and unity of life BIG IDEA! Big Idea #1: The process of evolution drives the diversity and unity of life Key Terms for this section: emigration phenotype adaptation evolution phylogenetic tree adaptive radiation fertility

More information

Seed Production Strategies and Progeny Selection in Greater Yam Breeding

Seed Production Strategies and Progeny Selection in Greater Yam Breeding Seed Production Strategies and Progeny Selection in Greater Yam Breeding K. Abraham, M. T. Sreekumari and M. N. Sheela Central Tuber Crops Research Institute Trivandrum, India Greater yam a food crop of

More information

Lecture 9. QTL Mapping 2: Outbred Populations

Lecture 9. QTL Mapping 2: Outbred Populations Lecture 9 QTL Mapping 2: Outbred Populations Bruce Walsh. Aug 2004. Royal Veterinary and Agricultural University, Denmark The major difference between QTL analysis using inbred-line crosses vs. outbred

More information

Calculation of IBD probabilities

Calculation of IBD probabilities Calculation of IBD probabilities David Evans and Stacey Cherny University of Oxford Wellcome Trust Centre for Human Genetics This Session IBD vs IBS Why is IBD important? Calculating IBD probabilities

More information

Name Class Date. KEY CONCEPT Gametes have half the number of chromosomes that body cells have.

Name Class Date. KEY CONCEPT Gametes have half the number of chromosomes that body cells have. Section 1: Chromosomes and Meiosis KEY CONCEPT Gametes have half the number of chromosomes that body cells have. VOCABULARY somatic cell autosome fertilization gamete sex chromosome diploid homologous

More information

Exam 1 PBG430/

Exam 1 PBG430/ 1 Exam 1 PBG430/530 2014 1. You read that the genome size of maize is 2,300 Mb and that in this species 2n = 20. This means that there are 2,300 Mb of DNA in a cell that is a. n (e.g. gamete) b. 2n (e.g.

More information

Mutation, Selection, Gene Flow, Genetic Drift, and Nonrandom Mating Results in Evolution

Mutation, Selection, Gene Flow, Genetic Drift, and Nonrandom Mating Results in Evolution Mutation, Selection, Gene Flow, Genetic Drift, and Nonrandom Mating Results in Evolution 15.2 Intro In biology, evolution refers specifically to changes in the genetic makeup of populations over time.

More information

Gene mapping in model organisms

Gene mapping in model organisms Gene mapping in model organisms Karl W Broman Department of Biostatistics Johns Hopkins University http://www.biostat.jhsph.edu/~kbroman Goal Identify genes that contribute to common human diseases. 2

More information

Lecture 9. Short-Term Selection Response: Breeder s equation. Bruce Walsh lecture notes Synbreed course version 3 July 2013

Lecture 9. Short-Term Selection Response: Breeder s equation. Bruce Walsh lecture notes Synbreed course version 3 July 2013 Lecture 9 Short-Term Selection Response: Breeder s equation Bruce Walsh lecture notes Synbreed course version 3 July 2013 1 Response to Selection Selection can change the distribution of phenotypes, and

More information

BREEDING AND GENETICS

BREEDING AND GENETICS The Journal of Cotton Science 6:97-103 (2002) http://journal.cotton.org, The Cotton Foundation 2002 97 BREEDING AND GENETICS Assessment of Day-Neutral Backcross Populations of Cotton Using AFLP Markers

More information

Chapter 2: Extensions to Mendel: Complexities in Relating Genotype to Phenotype.

Chapter 2: Extensions to Mendel: Complexities in Relating Genotype to Phenotype. Chapter 2: Extensions to Mendel: Complexities in Relating Genotype to Phenotype. please read pages 38-47; 49-55;57-63. Slide 1 of Chapter 2 1 Extension sot Mendelian Behavior of Genes Single gene inheritance

More information

QTL Model Search. Brian S. Yandell, UW-Madison January 2017

QTL Model Search. Brian S. Yandell, UW-Madison January 2017 QTL Model Search Brian S. Yandell, UW-Madison January 2017 evolution of QTL models original ideas focused on rare & costly markers models & methods refined as technology advanced single marker regression

More information

2. What is meiosis? The process of forming gametes (sperm and egg) 4. Where does meiosis take place? Ovaries- eggs and testicles- sperm

2. What is meiosis? The process of forming gametes (sperm and egg) 4. Where does meiosis take place? Ovaries- eggs and testicles- sperm Name KEY Period Biology Review Standard 3 Main Idea Explain the significance of meiosis and fertilization in genetic variation. How I can demonstrate what a smart. Person I am 1. What is fertilization?

More information

Managing segregating populations

Managing segregating populations Managing segregating populations Aim of the module At the end of the module, we should be able to: Apply the general principles of managing segregating populations generated from parental crossing; Describe

More information

Inferring Genetic Architecture of Complex Biological Processes

Inferring Genetic Architecture of Complex Biological Processes Inferring Genetic Architecture of Complex Biological Processes BioPharmaceutical Technology Center Institute (BTCI) Brian S. Yandell University of Wisconsin-Madison http://www.stat.wisc.edu/~yandell/statgen

More information

Maize domestication: a Paleogenomics perspective

Maize domestication: a Paleogenomics perspective Maize domestication: a Paleogenomics perspective Rafael Montiel LANGEBIO, Unidad de Genómica Avanzada, Cinvestav Irapuato, Mexico Workshop on Remote Sensing for Biodiversity and Ecosystem Services Inventory.

More information

Linear Regression (1/1/17)

Linear Regression (1/1/17) STA613/CBB540: Statistical methods in computational biology Linear Regression (1/1/17) Lecturer: Barbara Engelhardt Scribe: Ethan Hada 1. Linear regression 1.1. Linear regression basics. Linear regression

More information

Science Unit Learning Summary

Science Unit Learning Summary Learning Summary Inheritance, variation and evolution Content Sexual and asexual reproduction. Meiosis leads to non-identical cells being formed while mitosis leads to identical cells being formed. In

More information

SoyBase, the USDA-ARS Soybean Genetics and Genomics Database

SoyBase, the USDA-ARS Soybean Genetics and Genomics Database SoyBase, the USDA-ARS Soybean Genetics and Genomics Database David Grant Victoria Carollo Blake Steven B. Cannon Kevin Feeley Rex T. Nelson Nathan Weeks SoyBase Site Map and Navigation Video Tutorials:

More information

ABSTRACT. Maize is one of the most important crops in the world for food production. Maize is

ABSTRACT. Maize is one of the most important crops in the world for food production. Maize is ABSTRACT HUNG, HSIAO-YI. Quantitative Genetic Analysis of Maize Photoperiod Response and Resistance to Fusarium Ear Rot. (Under the direction of James B. Holland). Maize is one of the most important crops

More information

Duplication of an upstream silencer of FZP increases grain yield in rice

Duplication of an upstream silencer of FZP increases grain yield in rice SUPPLEMENTARY INFORMATION Articles https://doi.org/10.1038/s41477-017-0042-4 In the format provided by the authors and unedited. Duplication of an upstream silencer of FZP increases grain yield in rice

More information

*: Division of Biological Sciences; University of Missouri; Columbia, MO, 65211

*: Division of Biological Sciences; University of Missouri; Columbia, MO, 65211 Genetics: Early Online, published on July 20, 2016 as 10.1534/genetics.116.191726 Fast-Flowering Mini-Maize: Seed to Seed in 60 Days Morgan E. McCaw*, Jason G. Wallace,1, Patrice S. Albert*, Edward S.

More information

Engineering light response pathways in crop plants for improved performance under high planting density

Engineering light response pathways in crop plants for improved performance under high planting density Engineering light response pathways in crop plants for improved performance under high planting density Tom Brutnell Boyce Thompson Institute for Plant Research Cornell University, Ithaca NY 6000 years

More information

Sporic life cycles involve 2 types of multicellular bodies:

Sporic life cycles involve 2 types of multicellular bodies: Chapter 3- Human Manipulation of Plants Sporic life cycles involve 2 types of multicellular bodies: -a diploid, spore-producing sporophyte -a haploid, gamete-producing gametophyte Sexual Reproduction in

More information

A Novel FHB-Resistance QTL with Uncertain Origin and its Introgression into Durum and Hard Red Spring Wheat

A Novel FHB-Resistance QTL with Uncertain Origin and its Introgression into Durum and Hard Red Spring Wheat A Novel FHB-Resistance QTL with Uncertain Origin and its Introgression into Durum and Hard Red Spring Wheat Steven Xu, Chenggen Chu, Timothy Friesen, Shiaoman Chao, Shaobin Zhong, Scott Halley, Xiwen Cai,

More information

3. What are the advantages and disadvantages of selective breeding?

3. What are the advantages and disadvantages of selective breeding? UNIT VI - PLANT TECHNOLOGIES Lesson 1: Traditional Plant Breeding Competency/Objective: Describe traditional plant breeding processes. Study Questions References: 1. What is natural crossbreeding? 2. What

More information

Report of the Research Coordination Meeting Genetics of Root-Knot Nematode Resistance in Cotton Dallas, Texas, October 24, 2007

Report of the Research Coordination Meeting Genetics of Root-Knot Nematode Resistance in Cotton Dallas, Texas, October 24, 2007 Report of the Research Coordination Meeting Genetics of Root-Knot Nematode Resistance in Cotton Dallas, Texas, October 24, 2007 Participants: Frank Callahan, Peng Chee, Richard Davis, Mamadou Diop, Osman

More information

Investigations into biomass yield in perennial ryegrass (Lolium perenne L.)

Investigations into biomass yield in perennial ryegrass (Lolium perenne L.) Investigations into biomass yield in perennial ryegrass (Lolium perenne L.) Ulrike Anhalt 1,2, Pat Heslop-Harrison 2, Céline Tomaszewski 1,2, Hans-Peter Piepho 3, Oliver Fiehn 4 and Susanne Barth 1 1 2

More information

Genetic analysis of agronomic traits associated with plant architecture by QTL mapping in maize

Genetic analysis of agronomic traits associated with plant architecture by QTL mapping in maize Genetic analysis of agronomic traits associated with plant architecture by QTL mapping in maize Z.P. Zheng 1 and X.H. Liu 1 Nanchong Academy of Agricultural Sciences, Nanchong, P.R. China Key Laboratory

More information

Genetic analysis of maize kernel thickness by quantitative trait locus identification

Genetic analysis of maize kernel thickness by quantitative trait locus identification Genetic analysis of maize kernel thickness by quantitative trait locus identification S.S. Wen 1, G.Q. Wen 2, C.M. Liao 3 and X.H. Liu 2 1 Key Laboratory of Southwest Rice Biology and Genetic Breeding,

More information

Temporal changes in allele frequencies in two reciprocally selected maize populations

Temporal changes in allele frequencies in two reciprocally selected maize populations Theor Appl Genet (1999) 99:1166 1178 Springer-Verlag 1999 ORIGINAL ARTICLE J.A. Labate K.R. Lamkey M. Lee W.L. Woodman Temporal changes in allele frequencies in two reciprocally selected maize populations

More information

EXERCISES FOR CHAPTER 7. Exercise 7.1. Derive the two scales of relation for each of the two following recurrent series:

EXERCISES FOR CHAPTER 7. Exercise 7.1. Derive the two scales of relation for each of the two following recurrent series: Statistical Genetics Agronomy 65 W. E. Nyquist March 004 EXERCISES FOR CHAPTER 7 Exercise 7.. Derive the two scales of relation for each of the two following recurrent series: u: 0, 8, 6, 48, 46,L 36 7

More information

A Novel FHB-Resistance QTL with Uncertain Origin and its Introgression into Durum and Hard Red Spring Wheat

A Novel FHB-Resistance QTL with Uncertain Origin and its Introgression into Durum and Hard Red Spring Wheat A Novel FHB-Resistance QTL with Uncertain Origin and its Introgression into Durum and Hard Red Spring Wheat Steven Xu, Chenggen Chu, Timothy Friesen, Shiaoman Chao, Shaobin Zhong, Scott Halley, Xiwen Cai,

More information

Major questions of evolutionary genetics. Experimental tools of evolutionary genetics. Theoretical population genetics.

Major questions of evolutionary genetics. Experimental tools of evolutionary genetics. Theoretical population genetics. Evolutionary Genetics (for Encyclopedia of Biodiversity) Sergey Gavrilets Departments of Ecology and Evolutionary Biology and Mathematics, University of Tennessee, Knoxville, TN 37996-6 USA Evolutionary

More information

Title. Authors. Characterization of a major QTL for manganese accumulation in rice grain

Title. Authors. Characterization of a major QTL for manganese accumulation in rice grain Title Characterization of a major QTL for manganese accumulation in rice grain Authors Chaolei Liu, Guang Chen, Yuanyuan Li, Youlin Peng, Anpeng Zhang, Kai Hong, Hongzhen Jiang, Banpu Ruan, Bin Zhang,

More information

Meiosis and Mendel. Chapter 6

Meiosis and Mendel. Chapter 6 Meiosis and Mendel Chapter 6 6.1 CHROMOSOMES AND MEIOSIS Key Concept Gametes have half the number of chromosomes that body cells have. Body Cells vs. Gametes You have body cells and gametes body cells

More information

2013 Breeding Progress for Rust Resistance in Confection Sunflower

2013 Breeding Progress for Rust Resistance in Confection Sunflower 2013 Breeding Progress for Rust Resistance in Confection Sunflower Guojia Ma 1,2, Yunming Long 1,3, Sam Markell 2, Tom Gulya 1 and Lili Qi 1 1 USDA, ARS, NCSL, Fargo, ND 2 NDSU Plant Pathology, Fargo,

More information

$25 per bin, minimum $50 per on-site visit

$25 per bin, minimum $50 per on-site visit Adopted 2/11/2014 Revised 2/16/2015 Application and Fees Field applications must be submitted through the Oregon Seed Certification Service e-certification website at www.seedcert.oregonstate.edu. All

More information

Essential Questions. Meiosis. Copyright McGraw-Hill Education

Essential Questions. Meiosis. Copyright McGraw-Hill Education Essential Questions How does the reduction in chromosome number occur during meiosis? What are the stages of meiosis? What is the importance of meiosis in providing genetic variation? Meiosis Vocabulary

More information

Outline for today s lecture (Ch. 14, Part I)

Outline for today s lecture (Ch. 14, Part I) Outline for today s lecture (Ch. 14, Part I) Ploidy vs. DNA content The basis of heredity ca. 1850s Mendel s Experiments and Theory Law of Segregation Law of Independent Assortment Introduction to Probability

More information

2. Der Dissertation zugrunde liegende Publikationen und Manuskripte. 2.1 Fine scale mapping in the sex locus region of the honey bee (Apis mellifera)

2. Der Dissertation zugrunde liegende Publikationen und Manuskripte. 2.1 Fine scale mapping in the sex locus region of the honey bee (Apis mellifera) 2. Der Dissertation zugrunde liegende Publikationen und Manuskripte 2.1 Fine scale mapping in the sex locus region of the honey bee (Apis mellifera) M. Hasselmann 1, M. K. Fondrk², R. E. Page Jr.² und

More information

Genetic and physiological approach to elucidation of Cd absorption mechanism by rice plants

Genetic and physiological approach to elucidation of Cd absorption mechanism by rice plants Genetic and physiological approach to elucidation of Cd absorption mechanism by rice plants Satoru Ishikawa National Institute for Agro-Environmental Sciences, 3-1-3, Kannondai, Tsukuba, Ibaraki, 305-8604,

More information

1 Springer. Nan M. Laird Christoph Lange. The Fundamentals of Modern Statistical Genetics

1 Springer. Nan M. Laird Christoph Lange. The Fundamentals of Modern Statistical Genetics 1 Springer Nan M. Laird Christoph Lange The Fundamentals of Modern Statistical Genetics 1 Introduction to Statistical Genetics and Background in Molecular Genetics 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

More information

Genotyping By Sequencing (GBS) Method Overview

Genotyping By Sequencing (GBS) Method Overview enotyping By Sequencing (BS) Method Overview RJ Elshire, JC laubitz, Q Sun, JV Harriman ES Buckler, and SE Mitchell http://wwwmaizegeneticsnet/ Topics Presented Background/oals BS lab protocol Illumina

More information

Chapter 10 Sexual Reproduction and Genetics

Chapter 10 Sexual Reproduction and Genetics Sexual Reproduction and Genetics Section 1: Meiosis Section 2: Mendelian Genetics Section 3: Gene Linkage and Polyploidy Click on a lesson name to select. Chromosomes and Chromosome Number! Human body

More information

Chapter 6 Meiosis and Mendel

Chapter 6 Meiosis and Mendel UNIT 3 GENETICS Chapter 6 Meiosis and Mendel 1 hairy ears (hypertrichosis)- due to holandric gene. (Y chromosome)-only occurs in males. Appears in all sons. 2 Polydactyly- having extra fingers Wendy the

More information

e.g. population: 500, two alleles: Red (R) and White (r). Total: 1000 genes for flower color in the population

e.g. population: 500, two alleles: Red (R) and White (r). Total: 1000 genes for flower color in the population The Evolution of Populations What is Evolution? A change over time in the genetic composition of a population Human evolution The gene pool Is the total aggregate of genes for a particular trait in a population

More information

Chapter 5 Evolution of Biodiversity. Sunday, October 1, 17

Chapter 5 Evolution of Biodiversity. Sunday, October 1, 17 Chapter 5 Evolution of Biodiversity CHAPTER INTRO: The Dung of the Devil Read and Answer Questions Provided Module 14 The Biodiversity of Earth After reading this module you should be able to understand

More information

Advance Organizer. Topic: Mendelian Genetics and Meiosis

Advance Organizer. Topic: Mendelian Genetics and Meiosis Name: Row Unit 8 - Chapter 11 - Mendelian Genetics and Meiosis Advance Organizer Topic: Mendelian Genetics and Meiosis 1. Objectives (What should I be able to do?) a. Summarize the outcomes of Gregor Mendel's

More information

Lecture 5: BLUP (Best Linear Unbiased Predictors) of genetic values. Bruce Walsh lecture notes Tucson Winter Institute 9-11 Jan 2013

Lecture 5: BLUP (Best Linear Unbiased Predictors) of genetic values. Bruce Walsh lecture notes Tucson Winter Institute 9-11 Jan 2013 Lecture 5: BLUP (Best Linear Unbiased Predictors) of genetic values Bruce Walsh lecture notes Tucson Winter Institute 9-11 Jan 013 1 Estimation of Var(A) and Breeding Values in General Pedigrees The classic

More information

Assessment of Genetic Diversity of Pawpaw Cultivars with Inter-Simple Sequence Repeat Markers

Assessment of Genetic Diversity of Pawpaw Cultivars with Inter-Simple Sequence Repeat Markers Assessment of Genetic Diversity of Pawpaw Cultivars with Inter-Simple Sequence Repeat Markers Kirk W. Pomper*, Sheri B. Crabtree, and Snake C. Jones Kentucky State University What is Pawpaw? Asimina triloba

More information

Genotyping By Sequencing (GBS) Method Overview

Genotyping By Sequencing (GBS) Method Overview enotyping By Sequencing (BS) Method Overview Sharon E Mitchell Institute for enomic Diversity Cornell University http://wwwmaizegeneticsnet/ Topics Presented Background/oals BS lab protocol Illumina sequencing

More information

Interest Grabber. Analyzing Inheritance

Interest Grabber. Analyzing Inheritance Interest Grabber Section 11-1 Analyzing Inheritance Offspring resemble their parents. Offspring inherit genes for characteristics from their parents. To learn about inheritance, scientists have experimented

More information

GENETICS - CLUTCH CH.1 INTRODUCTION TO GENETICS.

GENETICS - CLUTCH CH.1 INTRODUCTION TO GENETICS. !! www.clutchprep.com CONCEPT: HISTORY OF GENETICS The earliest use of genetics was through of plants and animals (8000-1000 B.C.) Selective breeding (artificial selection) is the process of breeding organisms

More information

Mobilizing genetic resources and optimizing breeding programs DO NOT COPY. J.-F. Rami UMR AGAP

Mobilizing genetic resources and optimizing breeding programs DO NOT COPY. J.-F. Rami UMR AGAP Mobilizing genetic resources and optimizing breeding programs J.-F. Rami UMR AGAP Genetic Diversity Outline characterization of ex situ Genetic Diversity dynamics of in situ diversity diversity and society

More information

Genetic variation between Spanish and American versions of sweet corn. P. Revilla, M. C. Abuín, R. A. Malvar, P. Soengas, B. Ordás, and A.

Genetic variation between Spanish and American versions of sweet corn. P. Revilla, M. C. Abuín, R. A. Malvar, P. Soengas, B. Ordás, and A. Genetic variation between Spanish and American versions of sweet corn inbred lines P. Revilla, M. C. Abuín, R. A. Malvar, P. Soengas, B. Ordás, and A. Ordás Misión Biológica de Galicia, Spanish Council

More information

Classical Selection, Balancing Selection, and Neutral Mutations

Classical Selection, Balancing Selection, and Neutral Mutations Classical Selection, Balancing Selection, and Neutral Mutations Classical Selection Perspective of the Fate of Mutations All mutations are EITHER beneficial or deleterious o Beneficial mutations are selected

More information

Partitioning of General and Specific Combining Ability Effects for Estimating Maternal and Reciprocal Effects

Partitioning of General and Specific Combining Ability Effects for Estimating Maternal and Reciprocal Effects Partitioning of General and Specific Combining Ability Effects for Estimating Maternal and Reciprocal Effects Galal M. A. Mahgoub Maize Research Department, Field Crops Research Institute. Agricultural

More information

Genetic Interactions Between Cultured and Wild Fish Stocks

Genetic Interactions Between Cultured and Wild Fish Stocks Genetic Interactions Between Cultured and Wild Fish Stocks Considerations for the Genetic Management of Offshore Aquaculture Michael D. Tringali, Ph.D. Research Scientist Florida Fish and Wildlife Conservation

More information

BTRY 7210: Topics in Quantitative Genomics and Genetics

BTRY 7210: Topics in Quantitative Genomics and Genetics BTRY 7210: Topics in Quantitative Genomics and Genetics Jason Mezey Biological Statistics and Computational Biology (BSCB) Department of Genetic Medicine jgm45@cornell.edu February 12, 2015 Lecture 3:

More information