A Vision for Development and Utilization of High-Throughput Phenotyping and Big Data Analytics in Livestock

A Vision for Development and Utilization of High-Throughput Phenotyping and Big Data Analytics in Livestock

Automated high-throughput phenotyping with sensors, imaging, and other on-farm technologies has resulted in a flood of data that are largely under-utilized. Drastic cost reductions in sequencing and other omics technology have also facilitated the ability for deep phenotyping of livestock at the mol...

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Bibliographic Details
Main Authors: James E. Koltes, John B. Cole, Roxanne Clemmens, Ryan N. Dilger, Luke M. Kramer, Joan K. Lunney, Molly E. McCue, Stephanie D. McKay, Raluca G. Mateescu, Brenda M. Murdoch, Ryan Reuter, Caird E. Rexroad, Guilherme J. M. Rosa, Nick V. L. Serão, Stephen N. White, M. Jennifer Woodward-Greene, Millie Worku, Hongwei Zhang, James M. Reecy
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-12-01
Series:Frontiers in Genetics
Subjects:
automated phenotyping
precision agriculture
precision livestock farming
phenomics
sensors
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.01197/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2019.01197/full

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