相关实验视频

Updated: May 22, 2025

Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits
09:43

Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits

Published on: January 3, 2025

2.1K

优化玉米的反复快速循环育种,以通过随机模拟实现持续的长期遗传改进

Torsten Pook1,2,3, Mila Leonie Tost1,2,4, Henner Simianer1,2

  • 1Department of Animal Sciences, Animal Breeding and Genetics Group, University of Goettingen, 37075 Goettingen, Germany.

G3 (Bethesda, Md.)
|May 20, 2025
PubMed
概括

在玉米中快速循环繁殖加速了遗传收益,但有可能损失多样性. 更新培训数据和引入新的生殖细胞是实现可持续进步和提高预测准确性的关键策略.

关键词:
繁殖繁殖 繁殖繁殖玉米玉米玉米是一种这种植物是植物.快速循环的快速循环是一个问题.快速的新一代的发展.模拟模拟是指一个模拟模拟.速度繁殖 速度繁殖

更多相关视频

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

12.9K
Agrobacterium-Mediated Immature Embryo Transformation of Recalcitrant Maize Inbred Lines Using Morphogenic Genes10:28

Agrobacterium-Mediated Immature Embryo Transformation of Recalcitrant Maize Inbred Lines Using Morphogenic Genes

Published on: February 14, 2020

22.8K

相关概念视频

Plant Breeding and Biotechnology01:59

Plant Breeding and Biotechnology

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.
18.7K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
57.7K
Response Surface Methodology01:16

Response Surface Methodology

Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
80