杨凌农科城旱区主要农作物种质资源基因数据数据集

数据集整合了杨凌农科城及西北旱区主要农作物（小麦、玉米、谷子）的核心种质资源基因信息。原始数据包括基因型数据（抗旱相关等位基因、SNP标记、结构变异）、表型数据（根系深度、叶片蜡质、水分利用效率）以及多生态点产量表现。经过深度二次加工，原本分散的基因序列和田间观测数据被转化为综合性的“育种决策知识库”，每条记录包含抗旱基因功能注释、基因型-环境互作评分、AI预测抗旱指数、泛基因组特征等衍生指标，并附带亲本组合推荐和风险提示。数据集采用本体驱动的知识组织逻辑，将孤立的基因数据点构建为“基因-性状-环境”关联网络，实现了从原始序列数据到智能育种决策信息的本质转变，为现代生物育种提供了可直接操作的遗传信息支撑。

This dataset integrates genetic information of core germplasm resources for major staple crops (wheat, maize, foxtail millet) in Yangling Agricultural Science City and the arid regions of Northwest China. The raw data encompasses genotypic data (drought-related alleles, SNP markers, structural variations), phenotypic data (root depth, leaf cuticular wax, water use efficiency), and yield performance across multiple ecological sites. After in-depth secondary processing, the originally scattered genetic sequences and field observation data are transformed into a comprehensive 'breeding decision knowledge base'. Each entry includes derived metrics such as functional annotations of drought-resistant genes, genotype-environment interaction scores, AI-predicted drought resistance indices, pan-genome features, alongside parental combination recommendations and risk warnings. Employing ontology-driven knowledge organization logic, the dataset constructs isolated genetic data points into a 'gene-trait-environment' association network, achieving a fundamental transformation from raw sequence data to intelligent breeding decision-making information, and providing directly operable genetic information support for modern biological breeding.

搜集汇总

背景与挑战

背景概述

该数据集整合了杨凌农科城及西北旱区主要农作物（如小麦、玉米、谷子）的种质资源基因信息，涵盖基因型、表型和多生态点产量数据。通过深度二次加工，原始数据被转化为包含抗旱基因功能注释、AI预测抗旱指数等衍生指标的育种决策知识库，并采用本体驱动逻辑构建基因-性状-环境关联网络，为智能育种提供可直接操作的遗传信息支撑。