# Additional sources of agricultural data

#### Kevin Wright

#### 2018-07-06

# Books

### Die Landwirtschaftlichen Versuchs-Stations

http://catalog.hathitrust.org/Record/000549685

Full view of research station reports 1859-1920. In German.

### S. J. Welham et al. (2015). Statistical Methods In Biology.

The online-supplements contain many small datasets for the examples and exercises.

### D. F. Andrews and A. M. Herzberg (1985). Data.

https://www2.stat.duke.edu/courses/Spring01/sta114/data/andrews.html

    Table 2.1:  agridat::darwin.maize
    Table 5.1:  agridat::broadbalk.wheat
    Table 6.1:  agridat::mercer.wheat.uniformity
    Table 6.2:  agridat::wiebe.wheat.uniformity
    Table 58.1: agridat::caribbean.maize

### D. Bayisa (2010). Application of Spatial Mixed Model in Agricultural Field Experiment.

Master thesis. Department of Statistics, Addis Ababa University.

One dataset from wheat, RCB, with field coordinates.

### M. N. Das & Narayan C. Giri (1987). Design and Analysis of Experiments.

    31 Wool from 24 ewes, 6 cuttings
    116 NPK factorial, 3 years
    116 2^5 factorial, 1 rep
    117 2^3 factorial, 3 rep
    117 3^3 factorial
    149 NPK split-plot, xy
    150 nitro-variety split-plot
    201 variety balanced lattice
    279 covariate, yield & plant count

### Peter Diggle, Patrick Heagerty, Kung-Yee Liang, Scott Zeger. Analysis of Longitudinal Data.

http://faculty.washington.edu/heagerty/Books/AnalysisLongitudinal/datasets.html

Pig weight data is found in SemiPar::pig.weights

Sitka spruce data is found in: geepack::spruce

Milk protein data is found in: nlme::Milk. A thorough description of this data can be found in Molenberghs & Kenward, Missing Data in Clinical Studies, p. 377.
Original source: A. P. Verbyla and B. R. Cullis, Modelling in Repeated Measures Experiments. http://www.jstor.org/stable/2347384

### Federer, Walt (1955). Experimental Design.

    192 3x3 factorial
    204 3x2 factorial
    236 2x2x2 factorial with confounding
    257 2x3x2 factorial with confounding
    276 split-plot with layout
    285 nested multi-loc (Also problems page 22)
    350 cubic lattice
    420 balanced inc block
    491 Latin square with covariate

### Finney 1972. An Introduction to Statistical Science in Agriculture.

Not reviewed.

### Galwey, N.W. (2014). Introduction to Mixed Modelling, 2nd ed.

http://www.wiley.com/WileyCDA/WileyTitle/productCd-1119945496.html

    83  agridat::yates.oats
    104 doubled-haploid barley
    135 wheat/rye competition, heritability
    190 chickpea flowering in families
    250 canola oil gxe, sowing date, rainfall, oil Si & Walton
    290 wheat anoxia, McDonald
    291 wool fibers
    370 alphalpha design (row-column inc block)
    434 hollamby wheat trial, layout

### Kwanchai A. Gomez & Gomez (1984). Statistical Procedures for Agricultural Research.

Extensive collection of datasets from rice experiments.

### Cyril H. Goulden, Methods of Statistical Analysis.

First edition: http://archive.org/details/methodsofstatist031744mbp

    18 Uniformity trial: agridat::goulden.barley.uniformity
    153 Split-split plot with factorial sub-plot treatment: agridat::goulden.splitsplit
    194 Incomplete block
    197 Inc block
    205 Latin square
    208 Inc block
    255 Covariates in feeding trial: agridat::crampton.pig

Second edition: http://krishikosh.egranth.ac.in/handle/1/2034118

    216 Latin square: agridat::goulden.latin
    423 Control chart with egg weights: agridat::goulden.eggs

### Harry Love (1936). Applications of Statistical Methods to Agricultural Research.

    379 MET 4 year, 2 field, 5 block, 5 gen

### Kang, Manjit (2003). Handbook of Formulas and Software for Plant Geneticists and Breeders

### Kuehl, Robert. Design of Experiments, 2nd ed.

    357 alfalfa quadruple lattice
    358 alpha design
    488 split-plot sorghum hybrid,density
    516 alfalfa rcb, two-year
    521 crossover design cattle feedstuff

### Erwin LeClerg, Warren Leonard, Andrew Clark (1962). Field Plot Technique

Many small datasets.

    27 uniformity agridat::goulden.barley.uniformity
    213 split-plot
    234 immer multi-environment
    260 lattice pinto-bean
    276 triple lattice cotton
    280 lattice sugar beet
    289 balanced lattice
    336 repeated wheat

### Thomas M Little & F. Jackson Hills (1978). Agricultural Experimentation.

    79 Latin square
    89 Split-plot
    103 Split-split
    117 Split-block: agridat::little.splitblock
    126 Repeated harvests

### Harald Martens & Magni Martens. Multivariate Analysis of Quality

https://www.wiley.com/legacy/wileychi/chemometrics/datasets.html

The ‘NIR’ data has NIR spectra measurements of wheat for the purpose of understanding protein quality.

### Roger Mead, Robert N. Curnow, Anne M. Hasted (2002). Statistical Methods in Agriculture and Experimental Biology, 3rd ed.

    10 weekly milk yields
    24 carrot weight
    96 cabbage fertilizer
    143 intercropping cowpea maize
    177 honeybee repellent non-normal
    251 cauliflower poisson - agridat::mead.cauliflower
    273 rhubarb RCB covariate
    296 onion density
    316 lambs
    341 germination
    350 germination factorial - agridat::mead.germination
    352 poppy
    359 lamb loglinear - agridat::mead.lambs
    375 rats
    386 intercrop
    390 intercrop cowpea maize - agridat::mead.cowpeamaize
    404 apple characteristics (incomplete)

### Roger Mead (1988). The Design of Experiments

https://books.google.com/books?id=CaFZPbCllrMC&pg=PA323

    323 Turnip spacing data  agridat::mead.turnip

### Bernard Ostle (1963). Statistics in Research, 2nd ed.

https://archive.org/details/secondeditionsta001000mbp

    455 2 factors, 1 covariate
    458 1 factor, 2 covariates - agridat::crampton.pig

### V. G. Panse and P. V. Sukhatme (1957). Statistical Methods for Agricultural Workers.

http://krishikosh.egranth.ac.in/bitstream/1/2049376/1/44688.pdf

    3 Length and number of grains per ear of wheat
    138 Uniformity trial agridat::hutchinson.cotton.uniformity
    154 RCB 8 blocks
    167 two factorial, 6 rep trial
    178 2^4 factorial, 8 blocks, partial confounding
    192 3^3 factorial, 3 reps/9 blocks, partial confounding
    200 split-plot, 6 rep
    212 strip-plot, 6 rep
    219 cotton variety trial, yield & stand counts
    256 8x8 simpple lattice, 4 reps
    282 5 varieties at 6 locations
    295 5 N levels at 5 locations
    332 4 regions, 9 villages each, 3 treatments

### D. D. Paterson (1939). Statistical Technique in Agricultural Research.

https://archive.org/details/statisticaltechn031729mbp

    84 Distribution of purple/white starchy/sweet seeds from 11 ears
    190 Sugar cane MET: 2 year, 5 block, 5 variety
    199 Tea MET: 3 year, 2^2 factorial fertilizer
    206 Grass: 4 rep, 2 gen, 4 cutting treatments
    211 Cotton: 4 dates, 3 spacings, 3 irrigation, 2 nitro. agridat::gregory.cotton

### Arthur Asquith Rayner (1969). A First Course In Biometry For Agriculture Students.

    19/456. 2x2x4 Factorial, 2 rep
    19/466. 2x4 factorial, layout, plot size, kale (from Rothamsted)
    19/466. 3x5 factorial, 3 rep, potato
    20/494. 3x4 Split-plot with layout
    21/505. 2x2x2 Factorial, 5 rep
    21/515. 2x2x2x2 Factorial, 3 rep, with layout. (Evaluated, rejected as too variable)
    22/537. 2x2x2 factorial, 6 rep, potato
    22/537. 2x2x2x2 factorial, 2 rep, wheat, layout

### F.S.F. Shaw (1936). A Handbook of Statistics For Use in Plant Breeding and Agricultural Problems

https://archive.org/details/in.ernet.dli.2015.176662

    95 4 variety RCB, 25 rep, diagonal layout

### G. W. Snedecor & W. G. Cochran. Statistical Methods.

Not yet reviewed.

### Robert G. D. Steel & James Hiram Torrie. Principles and Procedures of Statistics, 2nd ed.

    154 Mint plant growth, 2-way + pot + plant
    244 Trivariate data
    319 Regression with three predictors
    384 Split-plot yield
    387 Split-plot row spacing
    400 Soybean 3 loc
    423 Pig weight gain
    429 Guinea pig weight gain
    434 Soybean lodging

### Oliver Schabenberger and Francis J. Pierce. Contemporary Statistical Models for the Plant and Soil Sciences.

Many datasets

### Pesticides in the Nation’s Streams and Ground Water, 1992-2001

Extensive data for detection of pesticides in water samples. See Appendix 5 and Appendix 6 of the supporting info. https://water.usgs.gov/nawqa/pnsp/pubs/circ1291/supporting_info.php

# Journals - Data

### Ag Data Commons

https://data.nal.usda.gov/about-ag-data-commons

### CyVerse Data Commons

http://datacommons.cyverse.org/

http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated

### CyVerse: Genomes by environment dataset now publicly accessible

http://www.cyverse.org/news/genomes-environment-dataset-now-publicly-accessible

http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Nov_2016

Very large GxE data here. Currently 2014, but more years planned. Hybrid & inbred phenotype data, weather data, genomic data. Very nice.

### DataDryad

http://datadryad.org/

Data from: MycoDB, a global database of plant response to mycorrhizal fungi http://datadryad.org/resource/doi%3A10.5061/dryad.723m1

### Nature Scientific Data

http://www.nature.com/sdata/

### Open Data Journal for Agricultural Research

http://library.wur.nl/ojs/index.php/odjar/

### Plant Genomics and Phenomics Research Data Repository

http://edal.ipk-gatersleben.de/repos/pgp/

### Wolfram Data Repository

https://datarepository.wolframcloud.com/

# Journals - Bulletins

### Iowa State Agricultural Research Bulletins

http://lib.dr.iastate.edu/ag_researchbulletins/

    Vol 26/ 281. Cox: Analysis of Lattice and Triple Lattice.
    Page 11: Lattice, 81 hybs, 4 reps
    Page 24: Triple lattice, 81 hybs, 6 reps

    Vol 29/347. Homeyer. Punched Card and Calculating Machine Methods for Analyzing
      Lattice Experiments Including Lattice Squares and the Cubic Lattice.
    Page 37: Triple lattice (9 blocks * 9 hybrids) with 6 reps.
    Page 60: Simple lattice, 8 blocks * 8 hybrids, 4 reps.
    Page 76: Balanced lattice, 25 hybrids
    Page 87: Lattice square with (k+1)/2 reps, 121 hybrids, 6 rep
    Page 109: Lattice square with k+1 reps, 7 blocks * 7 hyb, 8 reps
    Page 126: Cubic lattice, 16 blocks * 4 plots = 64 varieties, 9 reps, cotton

    Vol 32/396. Wassom. Bromegrass Uniformity Trial: agridat::wassom.bromegrass.uniformity

    Vol 33/424. Heady. Crop Response Surfaces and Economic Optima in
      Fertilizer agridat::heady.fertilizer

    Vol 34/358. Schwab. Research on Irrigation of Corn and Soybeans At Conesville.
    Page 257. 2 year, 2 loc, 4 rep, 2 nitro. Stand & yield.
      Nice graph of soil moisture deficit (fig 9)

    Vol. 34/463. Doll. Fertilizer Production Functions for Corn and Oats.
    Table 1, 1954 Clarion Loam.  N,P,K.
    Table 14, 1955 McPaul Silt Loam.  N,P.
    Table 25, 1955 corn.  K,P,N.
    Table 31, 1956 oats, K,P,N.  Trends difficult to establish.

    Vol 34/472. Pesek. Production Surfaces and Economic Optima For Corn Yields.
      Same data published in SSA journal?

    Vol 34/488. Walker. Application of Game Theory Models to Decisions.

    Vol 35/494. North Central Regional Potassium Studies with Alfalfa.
    Page 176. Two years, several locs per state, multiple states, multiple fertilizer
      levels, multiple cuttings. Soil test attributes.
    Page 183. Yield and %K.

    Vol 35/503. North Central Regional Potassium Studies with Corn.

# Papers

Alencar Xavier, Diego Jarquin, Reka Howard, Vishnu Ramasubramanian, James E. Specht, George L. Graef, William D. Beavis, Brian W. Diers, Qijian Song, Perry B. Cregan, Randall Nelson, Rouf Mian, J. Grover Shannon, Leah McHale, Dechun Wang, William Schapaugh, Aaron J. Lorenz, Shizhong Xu, William M. Muir and Katy M. Rainey. Genome-Wide Analysis of Grain Yield Stability and Environmental Interactions in a Multiparental Soybean Population, http://www.g3journal.org/content/8/2/519

Data are in the SoyNAM and NAM packages.

Barrero, Ivan D. et al. (2013). A multi-environment trial analysis shows slight grain yield improvement in Texas commercial maize. Field Crops Research, 149, Pages 167-176. http://doi.org/10.1016/j.fcr.2013.04.017

Note: This is a large (14500 records), multi-year, multi-location, 10-trait data. Sent a note encouraging the authors to formally publish the data. Source: http://maizeandgenetics.tamu.edu/CTP/CTP.html

Cleveland, M.A. and John M. Hickey, Selma Forni (2012). A Common Dataset for Genomic Analysis of Livestock Populations. G3, 2, 429-435. http://doi.org/10.1534/g3.111.001453

Note: The supplemental information for this paper contains data for 3534 pigs with high-density genotypes (50000 SNPs), and a pedigree including parents and grandparents of the animals.

Daillant-Spinnler (1996). Relationships between perceived sensory properties and major preference directions of 12 variaties of apples from the southern hemisphere. Food Quality and Preference, 7(2), 113-126. http://dx.doi.org/10.1016/0950-3293(95)00043-7

Note: The data are available in ClustVarLV package.

Gregory, Crowther & Lambert (1932). The interrelation of factors controlling the production of cotton under irrigation in the Sudan. Jour Agric Sci, 22, p. 617.

Hedrick (1920). Twenty years of fertilizers in an apple orchard. https://books.google.com/books?hl=en&lr=&id=SqlJAAAAMAAJ&oi=fnd&pg=PA446 Note: No significant differences between fertilizer treatments.

Kayad et al. (2016). Assessing the Spatial Variability of Alfalfa Yield Using Satellite Imagery and Ground-Based Data. . https://doi.org/10.1371/journal.pone.0157166 Supporting information contains yield monitor data for 4 hay harvests on a center-pivot field.

Roger W. Hexem, Earl O.Heady, Metin Caglar (1974) A compendium of experimental data for corn, wheat, cotton and sugar beets grown at selected sites in the western United States and alternative production functions fitted to these data. Technical report: Center for Agricultural and Rural Development, Iowa State University. https://babel.hathitrust.org/cgi/pt?id=wu.89031116783;view=1up;seq=3

The technical report provides data from experiments on corn, wheat, cotton & sugar beets, each crop tested at several locations over two years, with a factorial structure on irrigation and nitrogen treatments, with replications. Three polynomial functions were fit to the data for each location (quadratic, square root, three-halves).

Kenward, Michael G. (1987). A Method for Comparing Profiles of Repeated Measurements. Applied Statistics, 36, 296-308.

Note: An ante-dependence model is fit to repeated measures of cattle weight. Data available here: https://faculty.biostat.ucla.edu/robweiss/filedepot_download/87/495

Klumper & Qaim (2015). A Meta-Analysis of the Impacts of Genetically Modified Crops. http://doi.org/10.1371/journal.pone.0111629

Note: Nice meta-analysis dataset. Published data only include differences, not standard-errors. See the comments on PLOS article for some peculiarities in the data.

Lado, B. et al. (2013). Increased Genomic Prediction Accuracy in Wheat Breeding Through Spatial Adjustment of Field Trial Data. G3, 3, 2105-2114. http://doi.org/10.1534/g3.113.007807

Note: Has a large haplotype data (83 MB) and two-year phenotype data with multiple traits.

Payne, Roger (2015). The Design and Analysis of Long-Term Rotation Experiments. Agronomy Journal, 107, 772-784. http://doi.org/10.2134/agronj2012.0411

Note: The data and R code appeared in the paper. Free access, but closed copyright.

Snedecor, George and E. S. Haber (1946). Statistical Methods For an Incomplete Experiment on a Perennial Crop. Biometrics Bulletin, 2, 61-67. http://doi.org/10.2307/3001959

Harvest of asparagus over 10 years, three cutting dates per year, 6 blocks.

Technow, Frank, et al. (2014). Genome Properties and Prospects of Genomic Prediction of Hybrid Performance in a Breeding Program of Maize. August 1, 2014 vol. 197 no. 4 1343-1355. http://doi.org/10.1534/genetics.114.165860

Note: Genotype and phenotype data appears in the sommer package.

Tian, Ting (2015). Application of Multiple Imputation for Missing Values in Three-Way Three-Mode Multi-Environment Trial Data. http://doi.org/10.1371/journal.pone.0144370

Note: Uses agridat::australia.soybean data and one other real dataset with 4 traits that are not identified. All data and code available.

Randall J. Wisser et al. (2011). Multivariate analysis of maize disease resistances suggests a pleiotropic genetic basis and implicates a GST gene. PNAS. http://doi.org/10.1073/pnas.1011739108

Note: Supplement contains genotype data, but no phenotype data.

Yan, Weikei (2002). Singular value partitioning in biplots. Agron Journal.

Note: Winter wheat, 31 gen in 8 loc. This data is different from Yan’s earlier papers. Unfortunately, the data given in the paper are missing two rows.

# Papers - Uniformity trials

Baker, G.A. (1953). Strawberry uniformity yield trials. Biometrics, Vol. 9, No. 3, pp. 412-421. http://doi.org/10.2307/3001713

Note: Two small uniformity trials with yield per plant for 200, 500 plants. CVs fairly high and correlation between neighboring plants very low.

Niels Anton Hansen, 1914. Prøvedyrkning paa Forsøgsstationen ved Aarslev. Tidsskrift for landbrugets planteavl. http://dca.au.dk/publikationer/historiske/planteavl/ Bind 21, page 553. In Danish. Page 557 might be the table referred to by Eden, except there are 30 plots, not 35. Yields appear to be given as percents.

See comments by Eden & Maskell found here: https://archive.org/stream/in.ernet.dli.2015.25895/2015.25895.Journal-Of-Agricultural-Science-Vol-xviii-1928#page/n175 Page 165: “One of the trials, comprising 35 plots, extended over the years 1907-11 and included oats, rye, barley, roots, barley.” Oats and rye 1907 and 1908 show marked positive correlation. rye and barley 1908 and 1909 no correlation of significance. barley and roots 1909 and 1910 no correlation. roots and barley 1910 and 1911 a significant correlation. rye and roots 1908 and 1910 satisfactory.

Edmund B. Lambert (1934). Size and arrangement of plots for yield tests with cultivated mushrooms. Journal of Agricultural Research, Vol 48, 971-980.

Note: Uniformity trial at three locations for mushrooms in growth houses. https://naldc.nal.usda.gov/naldc/download.xhtml?id=IND43968493

# R packages

### agriTutorial

Five datasets used to illustrate analyses.

### agricolae

Has assorted data and functions for analysis of agricultural data.

### aml - Adaptive Mixed LASSO

Data `aml::wheat` genetic and phenotypic data for wheat.

### BGLR - Bayesian Generalized Linear Regression.

Has an A matrix (but no pedigree) for 499 genotypes at 4 locations.

### BLR - Bayesian Linear Regression.

Has an A matrix (but no pedigree) for 499 genotypes at 4 locations.

### BSagri

Safety assessment in agriculture trials

### ClustVarLV

Data `apples_sh` sensory attributes and preference scores for 12 apple varieties.

### cropcc - Climate change on crops

https://r-forge.r-project.org/projects/cropcc/

### drc - Dose response curves

Has nice herbicide dose response curves and germination data for mungbean, rice, wheat.

### ephiphy

Includes 10 historical datasets for plant disease epidemics. https://github.com/chgigot/epiphy

### FW - Finlay-Wilkinson regression

https://github.com/lian0090/FW/ Has phenotype data and marker data for 599 wheat lines in 4 environments.

### gRbase

Data `gRbase::carcass`: thickness of meat and fat on slaughter pigs

### lmtest

Data `lmtest::ChickEgg` time series of annual chicken and egg production in the United States 1930-1983.

### NADA

Data `Atra` and `Recon` contain measurements of Atrazine in water samples.

### nlraa

Miguez. Non-linear models in agriculture. http://r-forge.r-project.org/R/?group_id=1599

### nlme

`nlme::Orange`: Growth of orange trees

`nlme::Soybean`: Growth of soybean plants. From the book “Nonlinear Models for Repeated Measurement Data”.

### plantbreeding

https://r-forge.r-project.org/projects/plantbreeding/

    Data: fulldial
    Data: linetester
    Data: peanut same as agridat::kang.peanut

### SDaA - Survey Data and Analysis

This package has county-level data from the United States Census of Agriculture, along with a vignette to illustrate survey sampling analyses.

### SemiPar

Data: `SemiPar::onions` is same as `agridat::ratkowski.onions`

### sommer - Solving mixed model equations in R

Data: h2. Modest-sized GxE experiment in potato Data: cornHybrid. Yield/PLTHT for 100 hybrids from 20 inbred * 20 inbred, 4 locs. Phenotype and relationship matrix.

Data: wheatLines CIMMYT wheat data for 599 lines. Phenotype and relationship data.

Data: RICE

Data: FDdata taken from agridat::bond.diallel

Data: Technow_data. AF=Additive Flint. AD=Additive Dent. MF=Marker Flint. MD=Marker Dent. pheno=phenotype data for 1254 hybrids (GY=yield, GM=moisture). This data is from Technow et al: http://www.genetics.org/content/197/4/1343.supplemental

### spdep

Has a vignette ‘The Problem of Spatial Autocorrelation: forty years on’ that examines agriculture in Irish counties. See also the data `ade4::irishdata`.

### spuRs

Data: `spuRs::trees` has data for 107 trees that were cut into cross sections with the volume calculated at roughly 10-year increments. This is a subset of the much-larger original data from Guttenberg: https://archive.org/stream/wachstumundertra00gutt

### SoyNAM - Soybean nested association mapping

Dataset with phenotype data 3 yr, 9 locations, 18 environments, 60 thousand observations for height, maturity, lodging, moisture, protein, oil, fiber, seed size. There are 5000+ strains, 40 families.

Data formatted for the analysis of the NAM package is available with the following command: SoyNAM::ENV().

### st4gi - Stat for genetic improvement

https://github.com/reyzaguirre/st4gi

# Web sites

### Ideals

Data File : Raw data from each ear analyzed each year of the Illinois long-term selection experiment for oil and protein in corn (1896-2004) https://www.ideals.illinois.edu/handle/2142/3528

### ARS oat trials

http://www.ars.usda.gov/Main/docs.htm?docid=8419&page=4

### Rothamsted Electronic Archive

http://www.era.rothamsted.ac.uk/index.php Data from Broadbalk and other long-term experiments.

### Rothamsted Documents Archive

http://www.era.rothamsted.ac.uk/eradoc/collections.php

Annual reports from Rothamsted 1908-1987. Many have data, especially in the early years (before WWII) there are data given for the ‘Classical Experiments’.

    Year, page
    1908-1926
    1926-1927 agridat::sawyer.multi.uniformity
    1927-1928 agridat::sawyer.multi.uniformity
    1929-1930
    1931,143 agridat::yates.oats
    1932
    1933
    1934,215-222 Sugar beet multi-environment trial with 3^3 fertilizer
      treatments at each site Roots, SugarPercent, SugarWeight, PlantNumber, Tops, Purity.
    1935
    1936,241 Similar to the 1934 experiment, but only gives the main effects,
      not the actual data.
    1937-1939
    1946-1953

### Germplasm Enhancement of Maize (ISU)

http://www.public.iastate.edu/~usda-gem/index.htm

Data from trials at multiple locations. Yield, mst, pltht, lodging. No field plans.

### Google datasets search engine

https://cse.google.com/cse/publicurl?cx=002720237717066476899:v2wv26idk7m

### Illinois Corn Hybrid Variety Trials

http://vt.cropsci.illinois.edu/corn.html

### ILRI International Livestock Research Institute

http://www.ilri.org/biometrics/CS/

Case study 4 is a nice dialel example with sheep data. Available as agridat::ilri.sheep

### IRRI Biometrics and Breeding Informatics

http://bbi.irri.org/products

STAR, PBTools, CropStat. The STAR user guide has well-documented data (even using 2 from agridat), but the PBTools user guide does not document the data.

### SolCAP Solanaceae Coordinated Agricultural Project

http://www.solcap.msu.edu/

Potato and Tomato genotype and phenotype data.

### Statistical Analysis of Agricultural Experiments with R

See: rstats4ag.org (no http because of firewall problems).

Datasets for mixed models, ancova, dose response curves, competition.

### Terra-Ref

http://terraref.org/

Sensor observations, plant phenotypes, derived traits, genetic and genomic data. Beta version until Nov 2018.

### USDA National Agricultural Statistics Service

http://www.nass.usda.gov http://quickstats.nass.usda.gov/

Group: Field Crops Commodity: Corn Category: Area Harvested, Yield Data Item: Corn grain Acres Harvested, Yield Bu/Ac Domain: Total Geography: State See agridat::nass.corn, nass.wheat, etc.

# Other

## Rothamsted Library

https://www.rothamsted.ac.uk/library-and-information-services

Archive catalog.

Box of uniformity trial data

    STATS17  WG Cochran

    Uniformity trial data.
    Genstat data. Data received since publication of the catalogue.  1935-1943.
    Uniformity trial data.  1930-1936.
    Uniformity trials.  1936-1938.
    Uniformity trials.  R data.  1936-1937.
    O. V. S. Heath.  Cotton uniformity trial data.  1934-1935.
    Data.  Yields of grain per foot length.  1934.
    Catalogue of field uniformity trial data.  N. d.
    Demandt.  1931. One box