analysis {rhoneycomb}

Analysis of the honeycomb selection design.

Description

This function analyzes the response variable of the data frame.

Usage

analysis(
  Main_Data_Frame = NULL,
  Response_Vector = NULL,
  circle = 6,
  blocks = FALSE,
  row_element = NULL,
  plant_element = NULL,
  CRS = NULL
)

Arguments

Main_Data_Frame

A data frame generated by one of the functions HSD(), HSD0(), HSD01() and HSD03().

Response_Vector

A vector containing the response variable data.

circle

The number of plants per moving ring.

blocks

The moving circular block.

row_element

The position of the plant (number of row) in the center of a moving ring/circular block.

plant_element

The position of the plant (number of plant) in the center of a moving ring/circular block.

CRS

The number of selected plants used for the CRS index.

Value

A list.

References

Fasoula V. (2013). Prognostic Breeding: A New Paradigm for Crop Improvement. Plant Breeding Reviews 37: 297-347. 10.1002/9781118497869.ch6. doi:10.1002/9781118497869.ch6

Fasoula V.A., and Tokatlidis I.S. (2012). Development of crop cultivars by honeycomb breeding. Agronomy for Sustainable Development 32:161–180. 10.1007/s13593-011-0034-0 doi:10.1007/s13593-011-0034-0

Fasoulas A.C., and Fasoula V.A. (1995). Honeycomb selection designs. In J. Janick (ed.). Plant Breeding Reviews 13: 87-139. doi:10.1002/9780470650059.ch3

Tokatlidis I. (2016). Sampling the spatial heterogeneity of the honeycomb model in maize and wheat breeding trials: Analysis of secondary data compared to popular classical designs. Experimental Agriculture, 52(3), 371-390. doi:10.1017/S0014479715000150

Tokatlidis I., and Vlachostergios D. (2016). Sustainable Stewardship of the Landrace Diversity. Diversity 8(4):29. doi:10.3390/d8040029

Examples

main_data<-HSD(7,2,10,10,1)
main_data$Data<-wheat_data$total_yield

analysis(main_data,"Data",6)