Reviving the Desired Gains Index: An optimal solution for parent selection in public plant breeding programs Article Swipe
Christian R. Werner
,
Keith A. Gardner
,
Daniel J. Tolhurst
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.07.21.603926
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.07.21.603926
The Desired Gains Index is an optimal solution for parent selection in public plant breeding programs. It enables breeders to quantify their breeding objectives in terms of desired genetic gains and facilitates the efficient simultaneous improvement of multiple quantitative traits in a breeding population without the need for economic weights. We deliberately chose the term “optimal” here, which is typically associated with the profit-oriented selection indices commonly used in animal breeding, such as the Smith-Hazel Index. Our intention is to refute the perception that the Desired Gains Index is less efficient than the Smith-Hazel Index since both approaches maximise expected genetic gains in proportion to the breeding objective. To achieve this, we first review the relationship between the Desired Gains Index and the Smith-Hazel Index to show that desired gains are actually a form of economic weighting expressed as an improvement ratio for the traits under selection. We then present a general form of the Desired Gains Index to leverage best linear unbiased prediction (BLUP), which enables seamless integration of pedigree or genomic relationship information (e.g., genomic estimated breeding values) between the selection candidates and other related individuals. Finally, using stochastic simulation, we compare the performance of different parent selection strategies, including index selection, independent culling, and selection of extreme genotypes. The objective of these demonstrations is to convey the potential impact and benefits of the Desired Gains Index to a broader audience without the need for a deep understanding of selection theory and the equations presented here.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2024.07.21.603926
- OA Status
- green
- Cited By
- 2
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400914058
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4400914058Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2024.07.21.603926Digital Object Identifier
- Title
-
Reviving the Desired Gains Index: An optimal solution for parent selection in public plant breeding programsWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-07-23Full publication date if available
- Authors
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Christian R. Werner, Keith A. Gardner, Daniel J. TolhurstList of authors in order
- Landing page
-
https://doi.org/10.1101/2024.07.21.603926Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1101/2024.07.21.603926Direct OA link when available
- Concepts
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Selection (genetic algorithm), Index (typography), Plant breeding, Computer science, Mathematics, Statistics, Biology, Agronomy, Artificial intelligence, World Wide WebTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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27Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.demonstrations | 216 |
| abstract_inverted_index.profit-oriented | 64 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.85567454 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |