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Table 4 Time and cost for each scenario to generate the material (generation advance) and phenotype the training set (TS) to calibrate a genomic prediction (GP) model and produce the generation on which to start the pedigree breeding scheme

From: Optimization of Multi-Generation Multi-location Genomic Prediction Models for Recurrent Genomic Selection in an Upland Rice Population

Scenario

Season*

Generation¶

TS size

Generation advance in PAL

Phenotyping

GP

Total cost

PAL

SRO

Uni1

Yr1-A

S0:1→S0:2

100%

0.4X$PAL

   

1.2X$PAL + 1X$SRO

Yr1-B

S0:2→S0:3

100%

0.4X$PAL

   

Yr2-A

S0:3→S0:4

100%

0.4X$PAL

   

Yr2-B

No activity

     

Yr3-A

S0:4→S0:5

100%

  

1X$SRO

GP

Uni2

Yr1-A

S0:1→S0:2

100%

0.4X$PAL

   

0.9X$PAL + 1X$SRO

Yr1-B

S0:2→S0:3

100%

0.4X$PAL

   

Yr2-A

S0:2→S0:3

100%

  

1X$SRO

GP

Yr2-B

S0:3→S0:4

Sel. fam

0.05X$PAL

   

Uni3

Yr1-A

S0:1→S0:2

100%

0.4X$PAL

   

0.8X$PAL + 1X$SRO

Yr1-B

S0:2→S0:3

100%

0.4X$PAL

   

Yr2-A

S0:3→S0:4

100%

  

1X$SRO

GP

Multi1

Yr1-A

S0:1→S0:2

100%

0.4X$PAL

   

2.2X$PAL + 1X$SRO

Yr1-B

S0:2→S0:3

100%

0.4X$PAL

   

Yr2-A

S0:3→S0:4

100%

0.4X$PAL

   

Yr2-B

S0:4→S0:5

100%

 

1X$PAL

  

Yr3-A

S0:4→S0:5

100%

  

1X$SRO

GP

Multi2

Yr1-A

S0:1→S0:2

100%

0.4X$PAL

   

1.4X$PAL + 0.6X$SRO

Yr1-B

S0:2→S0:3

100%

 

1X$PAL

  

Yr2-A

S0:3→S0:4

50%

  

0.6X$SRO

GP

  1. Cost X$PAL and X$SRO are unit prices for the phenotyping of 1200 plots in Palmira (PAL) and Santa Rosa (SRO), respectively
  2. *year-semester; ¶ generation planted→generation harvested