Fully-Automated High-Throughput NMR System for Screening of Haploid Kernels of Maize (Corn) by Measurement of Oil Content

Hongzhi Wang, Jin Liu, Xiaoping Xu, Qingming Huang, Shanshan Chen, Peiqiang Yang, Shaojiang Chen and Yiqiao Song

PLOS ONE, 2016, vol. 11, issue 7, 1-14

Abstract: One of the modern crop breeding techniques uses doubled haploid plants that contain an identical pair of chromosomes in order to accelerate the breeding process. Rapid haploid identification method is critical for large-scale selections of double haploids. The conventional methods based on the color of the endosperm and embryo seeds are slow, manual and prone to error. On the other hand, there exists a significant difference between diploid and haploid seeds generated by high oil inducer, which makes it possible to use oil content to identify the haploid. This paper describes a fully-automated high-throughput NMR screening system for maize haploid kernel identification. The system is comprised of a sampler unit to select a single kernel to feed for measurement of NMR and weight, and a kernel sorter to distribute the kernel according to the measurement result. Tests of the system show a consistent accuracy of 94% with an average screening time of 4 seconds per kernel. Field test result is described and the directions for future improvement are discussed.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0159444

DOI: 10.1371/journal.pone.0159444

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