Optimizing the Procedure of Multi-stage Yield Selection for Selecting the Best from a Population of Candidate Entries

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概要

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• Optimum allocation of locations (s_j, subscript j designating stage), replications within locations (u_j), fraction of selection (P_j) and field area per stage (α_j) in three-stage yield selection is discussed on the principle of maximizing the probability of success (S) that an entry with the highest yielding ability is selected from a population of candidate entries. Monte Carlo calculations of S with practically possible conditions of the parameters concerned confirm that the total number and allocation of locations, not of replications, determine S. With the same total number of locations, a uniform allocation s_1=s_2=s_3 (or, s_1>s_2>s_3 in the presence of a high magnitude of genotype×location interaction) is nearly if not exactly the best. If circumstances permit, the locations should be chosen newly in each stage from the target region. As to selection fraction and field area, allocations directed as p_1<p_2<p_3 and α_1>α2>α_3 will be appropriate in most practical conditions. Replications u_j should be allocated in accordance with the total available field area and such directed allocations of s_j, P_j and α_j. The previously proposed and widely adopted allocation of locations, i. e., 1 (=s_1)<s_2<s_3, is not advantageous except when multiple locations cannot be allocated to the first stage for some reason, as would be the case when testing many entries with a severely limited capacity of field area. An allocation directed as p_1>p_2>p_3 instead of p_1<p_2<p_3 is appropriate when genotype×year interaction is the major error component in the yield scores of entries.

• 日本育種学会の論文

著者

• Yonezawa Katsuei

  Department of Biotechnology, Kyoto Sangyo University

• Ishii Takuro

  Plant Biotechnology Inst. Ibaraki Agricultural Center

• Ishii Takuro

  Plant Biotechnology Institute Ibaraki Agricultural Center

• Yonezawa Katsuei

  Department Of Biotechnology Kyoto Sangyo University

関連論文

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• Cost Efficiency of Spatial Error Control in Single Plant Selection
• Marker-based Selection as a Tool for Enhancing the Efficiency of Two Conventional Breeding Methods of Self-fertilizing Crop Plants, the Generation-accelerated Bulk Breeding and Doubled Haploid Breeding
• Range of Application of Inverse Variance Weighting for Using Historical Information in Stepwise Yield Screening of Plant Varieties
• Optimizing the Procedure of Multi-stage Yield Selection for Selecting the Best from a Population of Candidate Entries
• Comparison of Three Different Patterns of Multi-step Yield Screening for a Finite Population of Test Varieties with a Continuous Yield Distribution
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