Helium: visualization of large scale plant pedigrees

Paul D. Shaw; Martin Graham; Jessie Kennedy; Iain Milne; David F. Marshall

doi:10.1186/1471-2105-15-259

Helium: visualization of large scale plant pedigrees

Paul D. Shaw (Lead / Corresponding author)
, Martin Graham
, Jessie Kennedy
, Iain Milne
, David F. Marshall

Research output: Contribution to journal › Article › peer-review

66 Citations (Scopus)

250 Downloads (Pure)

Abstract

Plant breeders use an increasingly diverse range of data types to identify lines with desirable characteristics suitable to be taken forward in plant breeding programmes. There are a number of key morphological and physiological traits, such as disease resistance and yield that need to be maintained and improved upon if a commercial variety is to be successful. Computational tools that provide the ability to integrate and visualize this data with pedigree structure, will enable breeders to make better decisions on the lines that are used in crossings to meet both the demands for increased yield/production and adaptation to climate change.

Original language	English
Article number	259
Number of pages	15
Journal	BMC Bioinformatics
Volume	15
DOIs	https://doi.org/10.1186/1471-2105-15-259
Publication status	Published - Aug 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Keywords

Alleles
Breeding
Computational Biology
Cooperative Behavior
Genotype
Hordeum
Phenotype
Phylogeny

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10.1186/1471-2105-15-259

Publisher final version
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://?creativecommons.?org/?licenses/?by/?4.?0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://?creativecommons.?org/?publicdomain/?zero/?1.?0/?) applies to the data made available in this article, unless otherwise stated.
Final published version, 2.64 MBLicence: CC BY

Cite this

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AU - Shaw, Paul D.

AU - Graham, Martin

AU - Kennedy, Jessie

AU - Milne, Iain

AU - Marshall, David F.

PY - 2014/8

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AB - Plant breeders use an increasingly diverse range of data types to identify lines with desirable characteristics suitable to be taken forward in plant breeding programmes. There are a number of key morphological and physiological traits, such as disease resistance and yield that need to be maintained and improved upon if a commercial variety is to be successful. Computational tools that provide the ability to integrate and visualize this data with pedigree structure, will enable breeders to make better decisions on the lines that are used in crossings to meet both the demands for increased yield/production and adaptation to climate change.

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KW - Breeding

KW - Computational Biology

KW - Cooperative Behavior

KW - Genotype

KW - Hordeum

KW - Phenotype

KW - Phylogeny

U2 - 10.1186/1471-2105-15-259

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VL - 15

JO - BMC Bioinformatics

JF - BMC Bioinformatics

M1 - 259

ER -

Helium: visualization of large scale plant pedigrees

Abstract

UN SDGs

Keywords

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Cite this