Balanced Breeding in a Grand Parent Perspective. - Consideration for Swedish Scots pine breeding Dag Lindgren Förädlingsutredningsmöte Uppsala 08-05-14.

Slides:



Advertisements
Similar presentations
Darius Danusevičius and Dag Lindgren Optimize your breeding with Breeding Cycler Efficient long-term cycling strategy 35 min + 10 min Lithuanian Forest.
Advertisements

Bulk method Bulk is an extension of the pedigree method. In contrast to pedigree, early generations are grown as bulk populations w/o selection. The last.
Genetic Terms Gene - a unit of inheritance that usually is directly responsible for one trait or character. Allele - an alternate form of a gene. Usually.
Recall: several hypotheses about inheritance
Qualitative and Quantitative traits
Hawawini & VialletChapter 7© 2007 Thomson South-Western Chapter 7 ALTERNATIVES TO THE NET PRESENT VALUE RULE.
Considerations about life time and graft density of future Scots pine seed orchards Dag Lindgren, Finnvid Prescher, Yousry El- Kassaby, Curt Almqvist,
Considerations about timing and graft density of future Scots pine seed orchards Dag Lindgren, Finnvid Prescher, Yousry El- Kassaby, Curt Almqvist, Ulfstand.
Gene diversity measured by status number and other breeding concepts Dag Lindgren Department of Forest Genetics and Plant Physiology Swedish University.
Heredity Chapter Eight: Reproduction Chapter Nine: Heredity Chapter Ten: The Code of Life.
Patterns of inheritance
3/20- Bell Ringer *Please make sure you are in the correct seat* 1.If you want to get my attention or answer a question what should you do? 2.What do you.
Comparison of long-term breeding strategies using phenotype, clonal, progeny testing for Eucalyptus Darius Danusevičius 1,2 and Dag Lindgren Department.
Topic 4.3: Theoretical genetics
DaDa work Efficient long-term cycling strategy.
Quantitative genetics and breeding theory
Prescher et al.1 Seed production in Scots pine seed orchards Finnvid Prescher, Dag Lindgren, Ulfstand Wennström, Curt Almqvist, Seppo Ruotsalainen and.
Seed supply and breeding targets for Scots pine and Norway spruce in Sweden Dag Lindgren at workshop Delineation of Breeding Zones Hann Munden, March 23,
Modeling the performance over a range of sites using genetic flexibility (plasticity) Dag Lindgren at Plasticity Adaptation in Forest Trees Madrid (Spain),
Genetic thinning of clonal seed orchards using linear deployment Forest Genetics and Tree Breeding in the Age of Genomics: Progress and Future November.
Low Input Tree Breeding Strategies Dag Lindgren 1 and Run-Peng Wei 2,3 1Department of Forest Genetics and Plant Physiology Swedish University of Agricultural.
Lindgren, Dag.(Swedish University of Agricultural Sciences, Sweden), Danusevicius, Darius. (Lithuanian Forest Research Institute. Lithuania), Högberg,
Dag Lindgren 2007 Much from DaDa work and presentation by DaDa 2004 For more information look there Phenotype-progeny two stage is best for Scots.
Genetic diversity and seed orchards Dag Lindgren
ATTACK OF THE CLONES Challenging new episode in our course ! Clonal Forestry Dag Lindgren.
Västerhus – information and some results Last edit
Size of breeding population Dag Lindgren and Darius Danusevicius DaDa March 2004 For some reason all slides are not visible from my portable, but from.
Dag Lindgren and Xiao-Ru Wang
Unbalances in Tree Breeding Dag Lindgren, SLU, Sweden Let’s have the discussion on the net instead of oral, this show and a discussion site is available.
"Optimum number of tested clones in seed orchards “ Iceland, Aug 28, 2003 "Optimum number of tested clones in seed orchards “ Iceland, Aug 28, 2003 Dag.
2050 VLSB. Dad phase unknown A1 A2 0.5 (total # meioses) Odds = 1/2[(1-r) n r k ]+ 1/2[(1-r) n r k ]odds ratio What single r value best explains the data?
Norway spruce breeding in Sweden is based on clone testing Presentation at IUFRO WP Norway spruce Poland, Sept 4, 2007 Dag Lindgren Swedish University.
Dissertation – Finnvid Prescher Title: Seed orchards – genetic considerations on function, management and seed procurement. Start: summer 2004 Planned.
Combining genetic gain, gene diversity, time components, cost components when optimizing breeding strategies Dag Lindgren Seminar at the research school.
Stratified sublining Dag Lindgren, Swedish University of Agricultural Sciences, UMEÅ, Sweden. Seppo Ruotsalainen, The Finnish Forest Research Institute,
Long term tree breeding as analyzed by the breeding cycler tool DaDa (Dag & Darius) or (Darius & Dag)
Low Input Tree Breeding Strategies Dag Lindgren Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå Sweden.
Global warming and seed orchards in Sweden Dag Lindgren Department of Forest Genetics and Plant Physiology Swedish University of Agricultural Sciences.
Variation in fertility and its impact on gene diversity in a seedling seed orchard of Eucalyptus tereticornis Mohan Varghese 1, 2, N. Ravi 2, Seog-Gu Son.
POPSIM etc Note that this is discussion, not firm statements, and written very late yesterday evening without checking. But as we have one hour to fill...
BASIC FEATURES OF BREEDING Taryono Faculty of Agriculture Gadjah Mada University.
Mating Programs Including Genomic Relationships and Dominance Effects
Chuanyu Sun Paul VanRaden National Association of Animal breeders, USA Animal Improvement Programs Laboratory, USA Increasing long term response by selecting.
Module 7: Estimating Genetic Variances – Why estimate genetic variances? – Single factor mating designs PBG 650 Advanced Plant Breeding.
Breeding for Yield PLS 664 Spring Issues How do we build yield potential into a cross? How do we select for yield in the generations prior to yield.
Darius Danusevičius and Dag Lindgren Breeding cycler: Efficient long-term cycling strategy.
Genetics Page
Breed population analyses: some background, a guide to the reports, & some interesting examples.
Exceptions to Mendelian Genetics & Pedigrees
Classical Genetics The Legacy of Gregor Mendel Or The Monk with the Missing “Peas”
Presentation at Subtropical Forest Research Institute, Chinese Academy of Forestry, August 19, 2010.
Seed orchards - introduction Dag Lindgren Turkey.
Design of Micro-arrays Lecture Topic 6. Experimental design Proper experimental design is needed to ensure that questions of interest can be answered.
DaDa work Deployment of related clones into seed orchards The road to efficient breeding Seed orchard conference, Umea, Sept Darius.
Managing a model population to market the potential of breeding  Tree breeding characteristics þ Model population Goals Techniques þ Breeding strategies.
Choosing an Investment Portfolio
The Work of Gregor Mendel & Applying Mendel’s PrinciplesGregor Mendel Unit 5C Genetic Inheritance.
Lecture 22: Quantitative Traits II
Conducting Research in the Social Sciences (From: Individuals and Families: A Diverse Perspective (2010))
Gene350 Animal Genetics Lecture September 2009.
The Transformation of Social Care Janet Walden 13th November 2008.
Chapter Nine: Heredity
PRINCIPLES OF CROP PRODUCTION ABT-320 (3 CREDIT HOURS)
Genetics Revision.
Objective: I Can……. A) explain the differences between dominant and recessive traits. B) explain the differences between phenotypes and.
KEY CONCEPT A population shares a common gene pool.
Mendel & The Gene Idea Chapter 14
Statistical Analysis and Design of Experiments for Large Data Sets
CPO Heredity Traits- Mendel Predicting Heredity.
Presentation transcript:

Balanced Breeding in a Grand Parent Perspective. - Consideration for Swedish Scots pine breeding Dag Lindgren Förädlingsutredningsmöte Uppsala Revised

Study Status: submitted, minor revision asked for, resubmitted with authors Lindgren, Danusevicius and Rosvall. Swedish pine breeding is target SPM to simplify calculations Cycle time is 18 years Size of breeding population is a variable to be optimized, not preset by the number of founders Selection of good phenotypes in good families (“combined selection”) Reference (base line) is a phenotypic strategy (strategy 3), which appear as one of the most promising of earlier considered strategies (paper in CJFR 2007 with participation of Gunnar Jansson). Variant of “strategy 5”

(…) F1F1 SPM with parental balance (almost current Swedish program) Grand parents (=founders), F 0 Mating grand parents Select and mate 2 best sibs (…) F2F2

2 nd rank family (…) 1 st rank family (…) 3 rd rank family (…) n th rank family (…) Multiple SPMs Grandparents =founders Green trees show pedigree F0F0 F1F1 F2F2 Cross e.g. 4 best sibs in the 2 best families (2 parents per grandparent) Cross 4 best sibs

Note that retrospectively SPM and multiple SPM (strategy 5) give identical pedigrees, thus identical increase of coancestry. Simple SPM (strategy 3) is a special case of multiple SPM (strategy 5) with 2 parents per family.

Low budget High budget 2 Medium budget Families & parents cost nothing Number of parents per selected family Annual progress (%) 2=phenotypic

Conclusions Strategy 5 seems VERY promising and can beat phenotype strategy (strategy 3) with percent gain. Variants of strategy 5 which are still more efficient can be constructed. Strategy 5 can be implemented immediately. Select in field trials and graft in crossing archive. Make new selections when grafts mature for pollination, and harvest pollen from new selections. The actions are the same as for Strategy 3 (phenotypic selection), but more selections are done with strategy 5. Recommendation (Dag): Start this immediately for the most suitable objects! I suggest setting the breeding population to 3 times the founders from now. When more studies, theoretical results and experiences (e.g. on male flowering in young trees) have accumulated, it may be increased. But that 3 times is better than no increase is safe enough to act on immediately. Even if it does not work, where are escapes to other strategies. Note: The circumstances may make it motivated to use other strategies in specific cases, but this conclusion is safe enough to have it as main objective.

But Darius and Dag suggested Strategy 4 to be 20% better than phenotypic……. and this quantitative estimate seem uncertain… Can the prediction on Strategy be trusted? The estimate 20% was in “genetic merit” (take diversity loss at cycling in consideration), including a heavy penalty for cycling. It also assumed a high cost for cycling. Thus and for other reasons the quantitative magnitude of the advantage may be debated, but strategy 4 still seems recommendable compared to Strategy 1, 2, and 3. Strategy 4 here assumes progeny-test following open pollination which may – or may not - be of some importance compared to the results by Darius and Dag. The current POPSIM which alternative comparisons are based on is based on genetic gain only, while Breeding cycler considers costs and time and gene diversity and optimizes things. The gain predicted is much higher! this variant of strategy 5 seems at least 20% better! But it may be 70%! The calculations are simpler! The conclusion is logic! (see next slide). I make serious mistakes the whole time and there are detected mistakes in Breeding-cycler, so it should not be taken for granted that breeding cycler predictions are right. However the frequent mistakes have till now not changed the main results. The scenario may be unrealistic, it may always happen.

Timing a la Curt 0804 Strategy Phen + Prog tandem Phen preselection+ Prog PhenotypicProgeny Base Progeny Intens Combined Phen and progeny Cycling time, total Sel age Phenotype Sel age progeny Use of cycle for testing 54%81%65%36%46%75%

Förädlingsstrategier DPM DPM upprepas Gen.tid: 38/ 2=19 Fältförsök Korsning och frömognad Växthus & friland Mellanstock- arkiv Arkiv År 40x50= x50= PC 250 (5x2x250) 40x50=20000 PC x50= x8 + 5x8 = (5x2x12.5) 100x50= st/fam 5x50=250 40x250= (5x2x12.5) 5x8 + 5x8= x50=5000 6st/fam 38 (5x2x37.5) 100x300=30000 Sticklingprod. 14x40x50= (5x2x12.5) 12x40x50= x40x50=4000 ♀ 75+, ♂ x50=500 Kottinsamling 5x8 + 5x8=40+40 DPM Mätning (5x2x12.5) 1 st/fam Picture constructed by Johan Westin and Curt Almqvist May 2008

Efficient use of breeding cycle The breeding cycle has two parts. Recombination and selection based on field test. Only selection based on field test generates gain. A most important component of a strategy is to use the breeding cycle with gain generating field testing. Progeny-testing utilizes the breeding cycle for field testing very inefficient. Phenotypic selection is better. But integrating phenotypic and progeny selection in a single cycle, as done in strategy 4 and 5, means that most of the breeding cycle is use for field testing and thus likely to be much more efficient. Making them in tandem is not as good use of the breeding cycle.