IAS Breeding

Intelligent Agricultural Solutions of Breeding

智 慧 农 业 育 种 平 台 Intelligent Agricultural Breeding Platform

AI驱动 AI-Powered 基因组学 Genomics 精准育种 Precision Breeding 智慧农业 Smart Agriculture
10
功能模块 Functional Modules
15+
育种算法 Breeding Algorithms
C++
高性能计算内核 High-Performance C++ Core
100%
自主研发 Independently Developed
平台概述 Platform Overview

智慧农业育种平台(IASBreeding) 是一个面向动物和农作物的 AI驱动育种综合分析平台 。平台集成了 10大核心功能模块 涵盖表型清洗校正、基因组数据库管理、亲缘关系矩阵构建(7种)、遗传方差估计(8种方法)、 线性混合模型BLUP遗传评估(BLUP/GBLUP/ssGBLUP)、 13种机器学习非线性预测模型、贝叶斯遗传评估、 分子表型处理与可视化、选配决策优化及基因型填充等功能, 为精准育种提供一站式智能解决方案。 IASBreeding (Intelligent Agricultural Solutions of Breeding) is an AI-driven comprehensive analysis platform for animal and crop breeding. It integrates 10 core functional modules covering phenotype cleaning and correction, genomic database management, relationship matrix construction (7 methods), genetic variance estimation (8 methods), linear mixed model BLUP genetic evaluation (BLUP/GBLUP/ssGBLUP), 13 machine-learning non-linear prediction models, Bayesian genetic evaluation, molecular phenotype processing and visualization, mating decision optimization, and genotype imputation, providing a one-stop intelligent solution for precision breeding.

平台 Platform 特色 Features


融合人工智能与传统遗传学方法,构建高效精准的育种分析体系 Integrating artificial intelligence with traditional genetics to build an efficient and precise breeding analysis system

AI 智能分析 AI-Powered Analysis

集成13种机器学习算法与深度学习模型,实现智能表型预测与遗传评估 Integrates 13 machine learning and deep learning models for intelligent phenotype prediction and genetic evaluation

C++ 高性能内核 C++ High-Performance Core

核心算法基于C++开发,支持大规模基因组数据的高效计算与分析 Core algorithms developed in C++ for efficient computation on large-scale genomic data

模块化架构 Modular Architecture

8大功能模块独立运行、互相协同,满足育种全流程分析需求 8 core modules that run independently yet work together, covering the full breeding analysis workflow

云端零部署 Zero-Deployment Cloud

基于Web的在线分析平台,无需安装配置,打开浏览器即可使用 Web-based online analysis platform — no installation or configuration, just open your browser

核心 Core 模块 Modules


覆盖育种全流程的十大智能分析模块 Ten intelligent analysis modules covering the entire breeding workflow

表型处理 Phenotyping
IASPheno表型预处理与校正平台
IASPheno表型预处理与校正平台 IASPheno Phenotype Preprocessing & Correction

涵盖表型统计、清洗校验、变换处理、校正固定效应的高效表现处理平台。 An efficient phenotype processing platform covering statistics, cleaning and validation, transformation, and fixed-effect correction.

表型统计 Phenotype Statistics 异常值检查 Outlier Detection 表型变换 Phenotype Transformation 协变量校正 Covariate Correction
数据平台 Data Hub
IASHub智慧动物育种平台
IASHub智慧动物育种平台 IASHub Intelligent Animal Breeding Platform

融合表型、系谱、基因组与多组学数据、打造育种管理、遗传评估与智能决策一体化平台。 Integrates phenotype, pedigree, genomic and multi-omics data into a unified platform for breeding management, genetic evaluation, and intelligent decision-making.

表型管理 Phenotype Management 数据存储 Data Storage IASBLUP IASmating
核心 Core
IASBLUP
IASBLUP 线性混合模型框架的遗传评估 IASBLUP Genetic Evaluation with Linear Mixed Models

面向动植物育种的大规模遗传评估平台,集成亲缘关系矩阵构建、REML方差组分估计与育种值预测,支持ABLUP、GBLUP和单步ssGBLUP。 Large-scale genetic evaluation platform for animal and plant breeding, integrating relationship matrix construction, REML variance component estimation, and breeding value prediction, supporting ABLUP, GBLUP, and single-step ssGBLUP.

BLUP GBLUP ssGBLUP REML
选种选配 Mating
IASmating
IASmating

育种选配决策软件,优化农畜繁殖策略,支持系谱检查、个体近交系数计算、公母组合后代近交预测,以及共同祖先约束与近交阈值约束下的智能选配方案生成。 Mating decision software that optimizes breeding strategies, supporting pedigree checks, individual inbreeding coefficient calculation, progeny inbreeding prediction for sire-dam combinations, and intelligent mating plan generation under common-ancestor and inbreeding-threshold constraints.

选配优化 Mating Optimization 近交控制 Inbreeding Control 决策支持 Decision Support
AI
IASML
IASML 机器学习框架的遗传评估 IASML Genetic Evaluation with Machine Learning

提供SVM、Ridge、Lasso、ElasticNet、Random Forest、LightGBM、XGBoost、CNN、MLP等13种机器学习算法用于基因组表型预测。 Provides 13 machine learning algorithms — SVM, Ridge, Lasso, ElasticNet, Random Forest, LightGBM, XGBoost, CNN, MLP, and more — for genomic phenotype prediction.

机器学习 Machine Learning 深度学习 Deep Learning 13种算法 13 Algorithms
GWAS
IASQTL
IASQTL 全基因组关联分析与QTL定位 IASQTL GWAS & QTL Mapping

综合关联分析与QTL定位平台,集成LM、LMM、FastLMM、FarmCPU、BLINK等多种GWAS模型,支持协变量、LOCO、Batch扫描与Manhattan/QQ可视化。 Comprehensive association analysis and QTL mapping platform integrating LM, LMM, FastLMM, FarmCPU, BLINK and other GWAS models, with support for covariates, LOCO, batch scans, and Manhattan/QQ visualization.

GWAS LMM Manhattan QTL
即将开放 Coming Soon
IASBayesian

贝叶斯遗传评估软件,支持BayesA、BayesB、BayesC、BayesCπ、BSLMM等多种贝叶斯字母模型,适用于基因组选择分析。 Bayesian genetic evaluation software supporting BayesA, BayesB, BayesC, BayesCπ, BSLMM and other Bayesian alphabet models for genomic selection analysis.

BayesA/B/C MCMC 基因组选择 Genomic Selection
统计处理 Statistics
MPtools
MPtools

分子表型数据(包括转录组、代谢组、蛋白组、微生物组等)处理工具,涵盖数据过滤、校正、分子系谱构建等功能,基于C++开发,高效处理大规模分子表型数据。 Processing tool for molecular phenotype data (transcriptomics, metabolomics, proteomics, microbiome, etc.), covering data filtering, correction, and molecular pedigree construction. Developed in C++ for efficient large-scale processing.

数据处理 Data Processing C++ 分子表型 Molecular Phenotype
可视化 Visualization
MPtools
RasterMan

分子表型QTL可视化工具,以直观的热力图与曼哈顿图展示QTL定位结果,支持多种基因组图谱可视化分析。 Visualization tool for molecular phenotype QTL, displaying mapping results with intuitive heatmaps and Manhattan plots, supporting various genome map visualizations.

QTL 曼哈顿图 Manhattan Plot 二维热力图 2D Heatmap
基因型填充 Imputation
IASimpute
IASimpute

基因型填充平台,支持多种基因型格式,精准填充缺失基因型数据,适用于牛、鸭等多物种基因组研究与育种改良。 Genotype imputation platform supporting multiple genotype formats, accurately filling missing genotypes for multi-species genomic research and breeding improvement (e.g., cattle, duck).

基因型填充 Genotype Imputation 多物种 Multi-Species 高精度 High Accuracy
AI
EggShape

禽蛋表型智能测定软件,基于计算机视觉与AI算法,自动识别与测量禽蛋外形参数,实现快速精准表型采集。 Intelligent poultry egg phenotype measurement software based on computer vision and AI, automatically recognizing and measuring egg shape parameters for fast, accurate phenotyping.

计算机视觉 Computer Vision 智能测定 Intelligent Measurement 表型采集 Phenotyping

使用 User 文档 Docs


各模块使用手册与教程,帮助您快速上手 User manuals and tutorials for each module to help you get started quickly

模块 Module 说明 Description 文档 Documentation
IASPheno 表型预处理与校正平台 Phenotype preprocessing & correction platform 查看 View
IASHub 智慧动物育种平台 Intelligent animal breeding platform 查看 View
IASBLUP 混合线性模型遗传评估 Genetic evaluation with linear mixed models 查看 View
IASmating 育种选配决策 Breeding mating decision 查看 View
IASML 机器学习基因组预测 Machine learning genomic prediction 查看 View
IASQTL 全基因组关联分析与QTL定位 GWAS & QTL mapping 查看 View
IASBayesian 贝叶斯遗传评估(即将上线) Bayesian genetic evaluation (coming soon) 查看 View
MPtools 分子表型数据处理 Molecular phenotype data processing 查看 View
RasterMan 分子表型QTL可视化 Molecular phenotype QTL visualization 查看 View
IASimpute 基因型填充 Genotype imputation 查看 View
EggShape 禽蛋表型智能测定 Intelligent egg phenotype measurement 查看 View

软件 Software 下载 Downloads


下载C++高性能版本,在本地环境运行大规模计算任务 Download the high-performance C++ versions to run large-scale computations in your local environment

IASPheno

v1.0.0 · 2026-04
Web
在线使用 Use Online

IASHub

v1.0.0 · 2026-04
Web
在线使用 Use Online

IASBLUP

v1.3.0 · 2025-06
Linux Windows macOS Web
下载+在线使用 Download + Online

IASmating

v1.0.0 · 2026-04
Linux Windows macOS Web
下载+在线使用 Download + Online

IASML

v1.0.0 · 2025-06
Python All platform Web
下载+在线使用 Download + Online

IASQTL

v1.0.0 · 2026-07
Linux Windows macOS Web
下载+在线使用 Download + Online

IASBayesian (即将上线) (Coming Soon)

v1.0.0 · 2026-08
Linux Windows
未开放 Unavailable

MPtools

v1.3.0 · 2025-05
Linux Windows macOS
下载 Download

IASimpute

v1.0.0 · 2025-04
Web
在线使用 Use Online

EggShape

v1.1.0 · 2025-06
Web
在线使用 Use Online

RasterMan

v1.0.0 · 2026-03
R package R command Web
下载+在线使用 Download + Online

关于 About 我们 Us


IASBreeding由中国农业科学院北京畜牧兽医研究所水禽育种与营养创新团队开发维护 IASBreeding is developed and maintained by the Waterfowl Breeding and Nutrition Innovation Team, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences

研究团队 Research Team

大模型与计算育种实验室隶属于中国农业科学院北京畜牧兽医研究所水禽育种与营养创新团队, 致力于将人工智能、大数据与传统遗传育种理论相结合, 开发面向动植物育种的智能化分析工具与平台, 推动精准育种与智慧农业技术发展。 The Large Model and Computational Breeding Laboratory is part of the Waterfowl Breeding and Nutrition Innovation Team, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences. We are dedicated to combining artificial intelligence, big data, and traditional genetic breeding theory, developing intelligent analysis tools and platforms for animal and plant breeding, and advancing precision breeding and smart agriculture technologies.

相关链接 Links

引用方式 How to Cite

如果您在研究中使用了IASBreeding平台的相关工具,请引用以下文献: If you use tools from the IASBreeding platform in your research, please cite the following publication:

Cai W, et al. (2025). IASBreeding: An AI-driven comprehensive platform for animal and crop breeding. [Journal]. DOI: xxx