Next Article in Journal
A Parallel Software Pipeline for DMET Microarray Genotyping Data Analysis
Previous Article in Journal
Functional Genomics Approaches to Studying Symbioses between Legumes and Nitrogen-Fixing Rhizobia
Article Menu
Issue 2 (June) cover image

Export Article

Open AccessReview
High-Throughput 2018, 7(2), 16;

Handling Complexity in Animal and Plant Science Research—From Single to Functional Traits: Are We There Yet?

The Agri-Chemistry Group, School of Medical and Applied Sciences, Central Queensland University (CQU), Bruce Highway, North Rockhampton 4701, Australia
Author to whom correspondence should be addressed.
Current address: School of Science, RMIT University, Melbourne 3001, VIC, Australia.
Received: 4 March 2018 / Revised: 10 May 2018 / Accepted: 24 May 2018 / Published: 28 May 2018
PDF [214 KB, uploaded 28 May 2018]


The current knowledge of the main factors governing livestock, crop and plant quality as well as yield in different species is incomplete. For example, this can be evidenced by the persistence of benchmark crop varieties for many decades in spite of the gains achieved over the same period. In recent years, it has been demonstrated that molecular breeding based on DNA markers has led to advances in breeding (animal and crops). However, these advances are not in the way that it was anticipated initially by the researcher in the field. According to several scientists, one of the main reasons for this was related to the evidence that complex target traits such as grain yield, composition or nutritional quality depend on multiple factors in addition to genetics. Therefore, some questions need to be asked: are the current approaches in molecular genetics the most appropriate to deal with complex traits such as yield or quality? Are the current tools for phenotyping complex traits enough to differentiate among genotypes? Do we need to change the way that data is collected and analysed? View Full-Text
Keywords: complexity; omics; quality; yield; crops; livestock complexity; omics; quality; yield; crops; livestock
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Roberts, J.; Power, A.; Chandra, S.; Chapman, J.; Cozzolino, D. Handling Complexity in Animal and Plant Science Research—From Single to Functional Traits: Are We There Yet? High-Throughput 2018, 7, 16.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics



[Return to top]
High-Throughput EISSN 2571-5135 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top