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Intercross: a Breeding Application for High-throughput Phenotyping

8 pagesPublished: September 26, 2019

Abstract

Plant scientists around the world have expert-specified systems for dealing with sample breeding. The ability to track parents and their future progeny should be an intuitive and easy task for these systems. Surprisingly, breeders have a handful of various techniques that have little to no centralized protocol. This paper focuses on a novel implementation by Kansas State University’s Cyber Physical Systems lab, the Android application, Intercross. Intercross is the newest addition to the PhenoApps organization’s set of open source applications. This new application is a generic cross tracking system; however, because there are various methodologies for breeding this task is not trivial. This paper will expand on the non-trivial nature of crossing samples and why this system is needed. Previous systems that were used to track crosses are either outdated, do not exist, or are inefficient.

Keyphrases: Android, high throughput, phenotypes, progeny

In: Quan Yuan, Yan Shi, Les Miller, Gordon Lee, Gongzhu Hu and Takaaki Goto (editors). Proceedings of 32nd International Conference on Computer Applications in Industry and Engineering, vol 63, pages 72--79

Links:
BibTeX entry
@inproceedings{CAINE2019:Intercross_Breeding_Application_for,
  author    = {Chaney Courtney and Mitchell Neilsen},
  title     = {Intercross: a Breeding Application for High-throughput Phenotyping},
  booktitle = {Proceedings of 32nd International Conference on Computer Applications in Industry and Engineering},
  editor    = {Quan Yuan and Yan Shi and Les Miller and Gordon Lee and Gongzhu Hu and Takaaki Goto},
  series    = {EPiC Series in Computing},
  volume    = {63},
  pages     = {72--79},
  year      = {2019},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {https://easychair.org/publications/paper/9rHx},
  doi       = {10.29007/2hqr}}
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