植物的预测表型Predictive Phenomics of Plants |
|
课程网址: | https://videolectures.net/videos/kdd2016_schnable_predictive_phen... |
主讲教师: | Patrick S. Schnable |
开课单位: | KDD 2016研讨会 |
开课时间: | 2025-02-04 |
课程语种: | 英语 |
中文简介: | 我们的目标是开发统计模型,预测不同农艺环境下的作物表现。作物的表型,如产量和耐跌性,受基因型、环境(广义上)及其相互作用(GxE)的控制。作为下一代测序革命的结果,基因分型数据现在可用于每种主要作物的各种种质。然而,所需的表型数据量仍然有限,我们对GxE分子基础的理解也有限。为了解决这一局限性,我们正在构建新的传感器和机器人,以自动收集大量表型数据。将描述两种类型的高通量、高分辨率、基于现场的表型系统和新型传感器。这些技术将在基因组到田地倡议的背景下引入。 |
课程简介: | Our goal is to develop statistical models that will predict crop performance in diverse agronomic environments. Crop phenotypes such as yield and drought tolerance are controlled by genotype, environment (considered broadly) and their interaction (GxE). As a consequence of the next generation sequencing revolution genotyping data are now available for a wide diversity of accessions in each of the major crops. The necessary volumes of phenotypic data, however, remain limiting and our understanding of molecular basis of GxE is limited. To address this limitation, we are constructing new sensors and robots to automatically collect large volumes of phenotypic data. Two types of high-throughput, high-resolution, field-based phenotyping systems and new sensors will be described. These technologies will be introduced within the context of the Genomes to Fields Initiative. |
关 键 词: | 预测表型; 统计模型; 基因分型数据 |
课程来源: | 视频讲座网 |
数据采集: | 2025-02-27:liyq |
最后编审: | 2025-02-27:liyq |
阅读次数: | 6 |