油菜种质资源三维模型及表型数据

适用范围：适用于油菜种质资源保护与创制、遗传分析、作物育种、作物表型组学等
适用对象：高校、科研院所、种业及智慧农业等相关企业
数据应用能解决的主要问题：通过本数据库解析的作物单株及群体三维表型信息，帮助作物育种、遗传分析、作物科学、栽培管理等获取领域高质量表型数据，支撑精准育种决策。

Scope of Application: This dataset is applicable to the conservation and creation of rapeseed germplasm resources, genetic analysis, crop breeding, crop phenomics and other related research fields.
Target Users: Colleges and universities, scientific research institutes, seed industry enterprises and related enterprises engaged in smart agriculture and other relevant fields.
Main Problems Solved via Data Application: The three-dimensional phenotypic information of individual crop plants and populations analyzed through this database can assist researchers in crop breeding, genetic analysis, crop science, cultivation management and other related domains to acquire high-quality phenotypic data, and support precise breeding decision-making.

搜集汇总

背景与挑战

背景概述

该数据集由浙江大学自行产生，专注于油菜种质资源的三维模型及表型数据。它通过三维点云数据自动提取株高、分枝角度、叶面积等关键农艺性状，并整合基因组数据进行关联分析，以定位遗传位点。数据集旨在支持作物育种、遗传分析和表型组学研究，帮助用户获取高质量表型数据，实现精准育种决策和优质种质资源的快速筛选。