rice2: Rice multi-environment dataset (MET2) with phenotypic data...

In gcostaneto/frGIS: Yield adaptability analysis based on factorial regression and environmental covariates

Rice multi-environment dataset (MET2) with phenotypic data and geographic covariates.

Description

A data set of upland rice genotypes containing 19 elite-lines and 4 cultivars (total of 23 genotypes) were evaluated in the crop season of 2012 and 2013 at 14 locations. Each trial was analyzed in randomized complete block design, with four replications, and based on plot consisted of five rows of 5,0 m spaced at 0.3 m, with seeding density of 60 seeds.m-1. Crop management and sowing dates were performed according to the current farmer management at region where each trial was conducted. This experimental design and trial management are standardized for cultivar testing trials in upland rice breeding program of Embrapa.

Usage

rice2

Format

A data frame with 276 rows and 6 variables:

env

environmental id (factor)

gid

genotypic id (factor)

ggl

value of genotype plus genotype by location interaction effects in kg ha-1 (numeric)

Longitude

Longitude covariate (in degrees) of the evaluated environmet scaled to mean equal 0 and variance equal 1

Latitude

Longitude covariate (in degrees) of the evaluated environmet scaled to mean equal 0 and variance equal 1

Elevation

Longitude covariate (in meters of the evaluated environmet above sea) scaled to mean equal 0 and variance equal 1

...

gcostaneto/frGIS documentation built on Jan. 4, 2024, 1:41 p.m.