A scanner system for high-resolution quantification of variation in root growth dynamics of Brassica rapa genotypes.

A scanner system for high-resolution quantification of variation in root growth dynamics of Brassica rapa genotypes.
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DOI:
10.1093/jxb/eru048
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发表时间:
2014-05
影响因子:
6.9
通讯作者:
Dupuy LX
Dupuy LX
中科院分区:
生物学1区
文献类型:
--
作者:
Adu MO;Chatot A;Wiesel L;Bennett MJ;Broadley MR;White PJ;Dupuy LX

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潜在的存在,以繁殖根系架构,优化资源收购。然而,这需要能够以高分辨率、在尽可能自然的环境中以高通量定量地筛选根系发育。本文描述了一个低成本,高分辨率的根系表型平台的构建,不需要复杂的设备,并适用于大多数实验室和温室环境,其应用于量化的环境和时间变异的根性状基因型之间的芜菁。通过发芽纸的芯向植物提供完全营养液。根系的图像采集没有人工干预,在较长的时间内,使用多个扫描仪控制的定制软件。混合效应模型被用来描述在根系性状的变化来源,有助于根系结构估计从数字图像。经计算,需要1至43次重复检测才能检测到显著差异(95%CI 50%性状差异)。地上部生物量性状的广义遗传力最高(>0.60),初生根长、粗度和侧根分枝密度的广义遗传力居中(0.25-0.60),其它根系性状的广义遗传力较低(<0.25)。模型表明,根性状表现出各种类型的时间变化。这里描述的表型分析平台可用于量化影响B根系结构的性状的环境和时间变化。并且可以扩展到筛选育种所需的大种群,以获得有效的资源。
The potential exists to breed for root system architectures that optimize resource acquisition. However, this requires the ability to screen root system development quantitatively, with high resolution, in as natural an environment as possible, with high throughput. This paper describes the construction of a low-cost, high-resolution root phenotyping platform, requiring no sophisticated equipment and adaptable to most laboratory and glasshouse environments, and its application to quantify environmental and temporal variation in root traits between genotypes of Brassica rapa L. Plants were supplied with a complete nutrient solution through the wick of a germination paper. Images of root systems were acquired without manual intervention, over extended periods, using multiple scanners controlled by customized software. Mixed-effects models were used to describe the sources of variation in root traits contributing to root system architecture estimated from digital images. It was calculated that between one and 43 replicates would be required to detect a significant difference (95% CI 50% difference between traits). Broad-sense heritability was highest for shoot biomass traits (>0.60), intermediate (0.25–0.60) for the length and diameter of primary roots and lateral root branching density on the primary root, and lower (<0.25) for other root traits. Models demonstrate that root traits show temporal variations of various types. The phenotyping platform described here can be used to quantify environmental and temporal variation in traits contributing to root system architecture in B. rapa and can be extended to screen the large populations required for breeding for efficient resource acquisition.
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