drops_GE {factReg}

DROPS data sets

Description

These datasets come from the European Union project DROPS (DROught-tolerant yielding PlantS). A panel of 256 maize hybrids was grown with two water regimes (irrigated or rainfed), in seven fields in 2012 and 2013, respectively, spread along a climatic transect from western to eastern Europe, plus one site in Chile in 2013. This resulted in 28 experiments defined as the combination of one year, one site and one water regime, with two and three repetitions for rainfed and irrigated treatments, respectively. A detailed environmental characterisation was carried out, with hourly records of micrometeorological data and soil water status, and associated with precise measurement of phenology. Grain yield and its components were measured at the end of the experiment.
The data sets contain the genotypic BLUEs for eight traits for 246 genotypes in 37 environments. Additionally information on 11 environmental indices is included. The environments are split in three data sets for training (drops_GE) and testing (drops_GnE, drops_nGnE) purposes. drops_K contains the kinship matrix for the 246 genotypes.

Usage

drops_GE

drops_GnE

drops_nGnE

drops_K

Format

data.frames with 24 variables.

Experiment

experiments ID described by the three first letters of the city’s name followed by the year of experiment and the water regime with W for watered and R for rain-fed.

Code_ID, Variety_ID, Accession_ID

identifier of the genotype

grain.yield

genotypic mean for yield adjusted at 15\ in ton per hectare (t ha^-1)

grain.number

genotypic mean for number of grain per square meter

grain.weight

genotypic mean for individual grain weight in milligram (mg)

anthesis

genotypic mean for male flowering (pollen shed), in thermal time cumulated since emergence (d_20°C)

silking

genotypic mean for female flowering (silking emergence), in thermal time cumulated since emergence (d_20°C)

plant.height

genotypic mean for plant height, from ground level to the base of the flag leaf (highest) leaf in centimeter (cm)

tassel.height

genotypic mean for plant height including tassel, from ground level to the highest point of the tassel in centimeter (cm)

ear.height

genotypic mean for ear insertion height, from ground level to ligule of the highest ear leaf in centimeter (cm)

Tnight.Early

night temperature averaged between the floral transition and the silk initiation

Tnight.Flo

night temperature averaged between the silk initiation and the end of grain abortion

Tnight.Fill

night temperature averaged between the end of grain abortion and the physiological maturity of the grain

Ri.Early

intercepted radiation cumulated between the floral transition and the silk initiation

Ri.Flo

intercepted radiation cumulated between the silk initiation and the end of grain abortion

Ri.Fill

intercepted radiation cumulated between the end of grain abortion and the physiological maturity of the grain

Psi.Flo

soil water potential averaged between the silk initiation and the end of grain abortion. The soil water potential used here was the median between 30 and 60cm depth.

Psi.Fill

soil water potential averaged between the end of grain abortion and the physiological maturity of the grain

Tmax.Early

maximum temperature averaged between the floral transition and the silk initiation

Tmax.Flo

maximum temperature averaged between the silk initiation and the end of grain abortion

Tmax.Fill

maximum temperature averaged between the end of grain abortion and the physiological maturity of the grain

type

code corresponding to the data set. GE for drops_GE, GnE for drops_GnE and nGnE for drops_nGnE.

An object of class data.frame with 384 rows and 24 columns.

An object of class data.frame with 224 rows and 24 columns.

An object of class matrix (inherits from array) with 302 rows and 302 columns.

Source

doi:10.15454/IASSTN

References

Millet, E. J., Pommier, C., et al. (2019). A multi-site experiment in a network of European fields for assessing the maize yield response to environmental scenarios (Data set). doi:10.15454/IASSTN