EstimateBreed (version 1.0.2)

isgr: ISGR - Genetic Selection Index for Resilience

Description

Estimation of the selection index for environmental resilience (Bandeira et al., 2024).

Usage

isgr(GEN, ENV, NG, MG, CICLO, req = 3.5, stage = NULL)

Value

The ISGR - Genetic Selection Index for Resilience defines the ability of genotypes to express their productivity components under the conditions of air temperature and rainfall offered by the environment. The lower the index, the more resilient the genotype.

Arguments

GEN

Column referring to genotypes. Lines must have the prefix 'L' before the number. Ex: L139.

ENV

The column for the selection environment.

NG

Number of grains of all genotypes evaluated

MG

Grain mass of all genotypes evaluated

CICLO

Number of days in the cycle to define rainfall ideal (value of 3.5 mm per day). Can be changed manually in the 'req' argument.

req

Average daily water demand for the soybean crop (standard 3.5 mm). May change depending on the phenological stage.

stage

Parameter to define the phenological stage the crop is in Use 'veg' for vegetative and 'rep' for reproductive, if the evaluations have only been carried out in a given period.

Author

Willyan Junior Adorian Bandeira

Ivan Ricardo Carvalho

Murilo Vieira Loro

Leonardo Cesar Pradebon

Jose Antonio Gonzalez da Silva

References

Bandeira, W. J. A., Carvalho, I. R., Loro, M. V., da Silva, J. A. G., Dalla Roza, J. P., Scarton, V. D. B., Bruinsma, G. M. W., & Pradebon, L. C. (2024). Identifying soybean progenies with high grain productivity and stress resilience to abiotic stresses. Aust J Crop Sci, 18(12), 825-830.

Examples

library(EstimateBreed)

#Obtain environmental deviations
data("desvamb")
head(desvamb)

#Use DPclim for the ISGR function to identify deviations correctly
DPclim <- with(desvamb,desv_clim(ENV,TMED,PREC))

#Calculate the ISGR
data("genot")
head(genot)
isgr_index <- with(genot, isgr(GEN,ENV,NG,MG,CICLO))

#Define the water requirement per stage
isgr_index <- with(genot, isgr(GEN,ENV,NG,MG,CICLO,req=5,stage="rep"))