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相关概念视频

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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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
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Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
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Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.
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使用大数据预测环境适应品种.

Abhishek Gogna1, Bahareh Kamali2, Valentin Wimmer3

  • 1Leibniz Institute of Plant Genetics and Crop Plant Research, Corrensstraße, Gatersleben, 306466, Germany.

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概括
此摘要是机器生成的。

基因组预测模型现在可以为特定环境选择高产冬季小麦品种. 机器学习和深度学习提高了预测,加速了农民的育种进展.

关键词:
人工智能的人工智能是人工智能.大数据就是大数据.繁殖计划 繁殖计划深度学习是一种深度学习.环境适应品种 环境适应品种基因型表现的表现 基因型表现基因型乘以环境相互作用的时间.机器学习 机器学习冬季小麦 冬季小麦

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科学领域:

  • 农业科学 农业科学
  • 遗传学 是一个遗传学.
  • 植物育种 植物育种

背景情况:

  • 传统的育种计划侧重于平均基因型表现,可能缺少特定环境的适应性.
  • 为特定环境选择基因型对于优化作物产量至关重要.

研究的目的:

  • 开发一个基因组预测框架来选择适合个体环境的高产冬季小麦基因型.
  • 通过计算基因型与环境相互作用来改善基因型特异性表现的预测.

主要方法:

  • 汇编了来自31个中欧地区的13,285个基因型的冬季小麦谷物产量数据 (2010-2022年).
  • 利用卷积神经网络 (CNN) 和传统的基因组最佳线性无偏预测 (GBLUP) 来预测基因型性能.
  • 整合环境数据以使用机器学习建模基因型与环境 (G×E) 相互作用.

主要成果:

  • 与GBLUP相比,CNN在预测平均基因型性能方面表现出竞争力至优异的表现,随着训练数据大小的增加.
  • 使用G×E相互作用的GBLUP模型观察到,预测环境特定混合性能有23%的改善.
  • 确定了推动G×E相互作用和中欧研究地点的基因型聚类的关键环境变量.

结论:

  • 大数据,机器学习和深度学习为克服作物育种中的遗传瓶提供了新的方法.
  • 这些先进的方法有助于更快地开发和向农民提供改进的作物品种.