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Plant Breeding and Biotechnology01:59

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Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.
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Updated: Oct 1, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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XSim version 2: simulation of modern breeding programs.

Chunpeng James Chen1, Dorian Garrick2, Rohan Fernando3

  • 1Department of Animal Science, University of California, Davis, CA 95616, USA.

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|March 4, 2022
PubMed
Summary
This summary is machine-generated.

XSim Version 2 is an open-source breeding simulation tool that integrates big data and advanced statistical models. This redesigned simulator enhances modern breeding programs with its flexibility, extensibility, and user-friendly interface.

Keywords:
breeding programsgenetic evaluationsimulation

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Area of Science:

  • Agricultural Science
  • Computational Biology
  • Genetics

Background:

  • Breeding programs require efficient tools for design, evaluation, and optimization.
  • Modern agriculture benefits from simulators integrating big data and advanced statistical models.
  • XSim Version 1 validated genomic selection but lacked comprehensive features for modern breeding.

Purpose of the Study:

  • To present XSim Version 2, an extensively redesigned, open-source simulation tool for modern breeding programs.
  • To introduce enhanced features for integrating multiple statistical models and complex mating schemes.
  • To demonstrate the tool's flexibility in simulating crossbreeding and incorporating biotechnology.

Main Methods:

  • Redesigned XSim tool with a modular approach for simulating successive generations.
  • Incorporation of multiple statistical models: GBLUP, Bayesian alphabets, and neural networks.
  • Implementation in Julia for a balance of readability and computational speed.
  • Overloaded functions and operators for an improved user interface and data management.

Main Results:

  • XSim Version 2 seamlessly integrates diverse statistical models for genetic evaluations.
  • The tool effortlessly simulates complex mating schemes and successive generations.
  • Case studies demonstrate effective simulation of crossbreeding in animal and plant populations.
  • Integration of modern biotechnologies like double haploids and embryo transfer is supported.

Conclusions:

  • XSim Version 2 is a flexible, extensible, and user-friendly simulation tool for modern breeding programs.
  • The simulator bridges the gap between theory and experiment in breeding research.
  • Its design in Julia offers maintainability and extensibility for the scientific community.