OPTIMUM STRATIFICATION FOR AN AUXILIARY VARIABLE OPTIMUM ALLOCATION UNDER A SUPERPOPULATION MODEL

2021 ◽  
Vol 67 (1) ◽  
pp. 1-20
Author(s):  
Bhuwaneshwar Kumar Gupt ◽  
Md. Irphan Ahamed ◽  
Manoshi Phukon
Keyword(s):  
Auxiliary Variable ◽  
Optimum Allocation ◽  
Superpopulation Model

scholarly journals Stratification Methods for an Auxiliary Variable Model-Based Allocation under a Superpopulation Model

2022 ◽  
Vol 10 (1) ◽  
pp. 15-24
Author(s):  
Bhuwaneshwar Kumar Gupt ◽  
Mankupar Swer ◽  
Md. Irphan Ahamed ◽  
B. K. Singh ◽  
Kh. Herachandra Singh
Keyword(s):  
Auxiliary Variable ◽  
Variable Model ◽  
Superpopulation Model ◽  
Model Based

scholarly journals Methods of Stratification for a Generalised Auxiliary Variable Optimum Allocation

2021 ◽  
Vol 9 (5) ◽  
pp. 617-629
Author(s):  
Md. Irphan Ahamed ◽  
Bhuwaneshwar Kumar Gupt ◽  
Manoshi Phukon
Keyword(s):  
Auxiliary Variable ◽  
Optimum Allocation

Hybrid maize breeding with doubled haploids: Comparison between selection criteria

2006 ◽  
Vol 54 (3) ◽  
pp. 343-350 ◽  
Author(s):  
C. F. H. Longin ◽  
H. F. Utz ◽  
A. E. Melchinger ◽  
J.C. Reif
Keyword(s):  
Selection Criteria ◽  
Doubled Haploids ◽  
Optimum Allocation ◽  
Finite Sample ◽  
Sample Sizes ◽  
Maize Breeding ◽  
Selection Gain ◽  
Breeding Programmes ◽  
Hybrid Maize ◽  
Breeding Resources

The optimum allocation of breeding resources is crucial for the efficiency of breeding programmes. The objectives were to (i) compare selection gain ΔGk for finite and infinite sample sizes, (ii) compare ΔGk and the probability of identifying superior hybrids (Pk), and (iii) determine the optimum allocation of the number of hybrids and test locations in hybrid maize breeding using doubled haploids. Infinite compared to finite sample sizes led to almost identical optimum allocation of test resources, but to an inflation of ΔGk. This inflation decreased as the budget and the number of finally selected hybrids increased. A reasonable Pk was reached for hybrids belonging to the q = 1% best of the population. The optimum allocations for Pk(q) and ΔGkwere similar, indicating that Pk(q) is promising for optimizing breeding programmes.

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