ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2026
Bridging tradition and innovation: a review of computer simulations in plant breeding.
Review in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
3 authors.
Funding
Abstract
The wide range of tools and methods available to plant breeders today has the potential to increase the gain of selection. However, they also result in numerous complex choices in the design of efficient crossing and selection strategies. Computer simulations are essential to optimize breeding programs that are multi-year, high-effort endeavors and to compare process efficiencies without going through field experiments, thus saving both time and field resources. In addition, computer simulations are key to evaluate statistical properties of new methods and procedures as well as to exploit crop growth models and G*E interactions. The first two areas are discussed in great detail in our review. Furthermore, the review evaluates the capabilities, assumptions, and limitations of all publicly available simulation tools highlighting their relevance for the different areas of application.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.