maize_pop {tuckerR.mmgg}

31 Native Populations of Maize from Province of Buenos Aires

Description

These populations are part of collection of local populations corresponding to different races that are conserved in the Active Germplasm Bank of INTA Pergamino Experimental Station, Argentina.

Usage

data("maize_pop")

Format

A data frame with 10 characteristics of 31 maize populations in two different conditions corresponding to production areas of Buenos Aires. Since the variables are repeated in both places the data frame has a total of 20 variables, 10 for an environment and evaluated them in the other conditions. First and second conditions the numerical vectors are the following:

LMZ

a numeric vector with ear length(cm), in first condition

DMZ

a numeric vector with ear diameter (mm),in first condition

AGR

a numeric vector with grain width (mm),in first condition

LGR

a numeric vector with grain length (cm), in first condition

PROL

a numeric vector prolicicacy (ears/plant), in first condition

GRXM

a numeric vector with grains by meter in first condition

PESO_1000

a numeric vector with weight of 1000 grains (grs)

REND

a numeric vector with yield (kg/ha), in first condition

ALTPL

a numeric vector height of the plant (cm) in first condition

ALTMZ

a numeric vector with height of ear insertion (cm) in first condition

LMZ

a numeric vector with ear length(cm), in second condition

DMZ

a numeric vector with ear diameter (mm),in second condition

AGR

a numeric vector with grain width (mm),in second condition

LGR

a numeric vector with grain length (cm), in second condition

PROL

a numeric vector prolicicacy (ears/plant), in second condition

GRXM

a numeric vector with grains by meter in second condition

PESO_1000

a numeric vector with weight of 1000 grains (grs) in second condition

REND

a numeric vector with yield (kg/ha), in second condition

ALTPL

a numeric vector height of the plant (cm) in second condition

ALTMZ

a numeric vector with height of ear insertion (cm) in second condition

Details

Ten quantitative variables were evaluated in two tests conducted in the 2003/04 season in the localities Pergamino A INTA) and Ferre. These variables allowed for morphologic-agronomic characterization and may be influenced, to a certain extent, by environmental conditions.

References

MARTICORENA, M.; BRAMARDI, S.; DEFACIO, R. (2010). Characterization of maize populations in different environmental conditions by means of Three-Mode Principal Components Analysis. Revista Ciencia e Investigacion Agraria. 37(3): 93-105.

Examples

data(maize_pop,package = "tuckerR.mmgg")
str(maize_pop); summary(maize_pop)