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Case Study: pea phenotyping

A. CooperatorsB. Funded evaluationsC. Publication data miningD. Funded research projectsE. Survey germplasm users

(NCRPIS)F. Curator evaluations

A. Publishable using augmented designsG. Data from other genebanks

A. Cooperators – CORE studies

• Examples of published data in GRIN• Usually a subset of the pea CORE

– McPhee K.E. 2005. Variation for Seedling Root Architecture in the Core Collection of Pea Germplasm. Crop Sci. 45:1758-1763.

– McPhee K.E. and F.J. Meuhlbauer. 2000. Biomass production and related characters in the core collection of Pisum germplasm. Genetic Resources and Crop Evolution 48: 195-203

B. CGC funded evaluations

• Aphanomyces– Malvick DK and J.A. Percich. 1999. Screening of Pea

Plant Introduction Collection for Resistance to Aphanomyces Root Root 1990-1994. Biological and Cultural Tests, Vol 11.

• Ascochyta blight– Kraft, J.M., Dunne, B., Goulden, D., and Armstrong, S.

1998. A Search for Resistance in Peas to Mycosphaerella pinodes. Pl Dis. Plant Dis 82:251-253.

• Fusarium root rot– Grunwald NJ., Coffman VA., Kraft JM.. 2003. Sources of

partial resistance to fusarium root rot in the Pisum core collection. Plant Disease 87:1197-1200.

• Fusarium wilt race 2– McPhee KE, Tullu A, Kraft JM, Muehlbauer FJ 1999.

Resistance to Fusarium wilt race 2 in the Pisum core collection. J. Amer. Soc.Hortic.Sci. 124:28-31.

• Mineral nutrients in seed– Grusak, M.A. et al., 2004. Novel approaches to

improve legume seed mineral nutrition. Proceedings of the 5th AEP-2nd ICLGG Conference, pgs. 37-38.

C. Data mining from

publications

• Crop Registrations – from JASHS and Crop Science– high quality peer-reviewed & replicated data

• Literature review– WEB of Science dbf– AGRICOLA dbf

• Sign up for Digitop https://d2.nal.usda.gov/login

D. Funding evaluation research projects

• USDA – FAS ($15,000/year, 3 yrs)– Seed weight and number in pea– www.fas.usda.gov/icd/grants/scrp.htm

• Organization for Economic Co-operation and Development – funds scientific exchange visits– www.oecd.org/home/

0,2605,en_2649_201185_1_1_1_1_1,00.html• ARS Post-doctoral funding: pea SNPs

– 2 years, $50,000/year = $100,000– www.npstaff.ars.usda.gov/ARIS/Manual/

chapt15g.pdf• NRI (rejected so far, but they fund germplasm projects)

– http://www.csrees.usda.gov/funding/rfas/pdfs/06_nri.pdf

E. Survey stakeholders

• Ad hoc (polite for random): Large germplasm requests-ask if you may enter the data into GRIN after publication

• Systematic: once/year mail survey Western Region Advisory committee

• Systematic: Survey each germplasm order (NCRPIS)

• Discussion

F. Curator evaluations – design for publication

• Advantages: scientists will know the data is available with the experimental details – two examples

• Protein (cooperator ground seed, paid for gases for nitrogen analyzer) – core only– Coyne CJ, Razai L, Baik B-K, Grusak M.A. 2005. Variation for

pea seed protein concentration in USDA Pisum core collection. Pisum Genetics 37: (in press).

• Seed weight and seed number – core only– Replicated field trial, two locations, two years, too much

• Solution to too much– Work with statistician– Augmented designs

Field evaluations-design resources

• Book: Agricultural Field Experiments: Design and Analysis. RG Peterson. 1994. Marcel Dekker, NY.

• IPGRI. 2001. The design and analysis of evaluation trials of genetic resources collections. A guide for genebank managers. IPGRI Technical Bulletin No. 4. International Plant Genetic Resources Institute, Rome, Italy.

• USDA ARS Area Office Statisticians• Ex. Western Regional, Albany, CA

Field evaluations-ARS resourcesPacific West Region example

PWA Statistical Support• Bruce E. Mackey, PWA & WHNRC

[email protected] (510) 559-6078

• Linda C. Whitehand WRRC & PGEC, [email protected] (510) 559-6077

Services offered in order of priority:1. Training in Statistics 2. Experimental Design3. Statistical Inference 4. Statistical Models and Methods 5. Data Analysis6. Data Salvage PC SAS - Distribution of the SAS software is through the

statisticians. Yearly licensing fees, are paid out of PWA funds and then charged back to each user

Field evaluations-6.4 Augmented designs

• Augmented designs are appropriate for evaluation stages when hundreds or even thousands of accessions are being studied in the same experiment, using a limited amount of sowing material perhaps enough for one replicate only.

• They cope with environmental heterogeneity by placing replicates of controls systematically in the experiment. As control plots may be said to keep a check on environmental variation, they have been called checks, and in this section we use check for control”.

• From IPGRI Technical Manual 4. http://www.ipgri.cgiar.org/publications/pubselect.asp

Augmented designs: data analysis

• Manuals & Programs: Several programs, users manuals, and data examples can be downloaded:

• AMMI contains a manual, SAS codes, and data examples for performing the analysis of the Additive Main Effects and Multiplicative Interaction (AMMI) model of multi-environment trials and for constructing the biplot.

• UNREPLICATE includes a manual, SAS macro, and data for analyzing unreplicated trials where the repeated checks are arranged in incomplete blocks.

• SPATIAL has a manual and data for using the ASREML method for spatial analysis of field trials.

• BIPLOTS contains a manual, data, SAS codes, and examples for constructing GE biplots and GGE biplots obtained from AMMI and SREG models, respectively. These biplots delineate subsets of environments and genotypes with positive interaction.

• From www.cimmyt.org/english/wps/biometrics/index.htm • Other Reference book: Kang MS (ed) 2003. Handbook of

Formulas and Software for Plant Geneticists and Breeders. Haworth Press, New York.

Data analysis and presentation

• GRIN– Design descriptors during experimental design phase– Think about software for your analysis– SAS, TASSEL, GERMINATE

• Publication options– Crop Science– Genetic Resources and Crop Evolution– Euphytica – Plant Breeding– Plant Genetic Resources: Characterization and

Utilization

G. Data from other genebanks

• Australia example:– Used IRRI’s ISIS database format– Downloaded all available data from SINGER and GRIN

on lentil and chickpea– www.iris.irri.org/ranjanweb/SiteMain.jsp

• Have not done in pea yet, but in discussion with other pea genebanks

• Funded project with ICRISAT- exchange chickpea data-failed.


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