Editorial - Peer-reviewed, 2017
Editorial: Plant Phenotyping and Phenomics for Plant Breeding
Lobos, Gustavo A.; Camargo, Anyela V.; del Pozo, Alejandro; Araus, Jose L.; Ortiz, Rodomiro; Doonan, John H.Abstract
A major challenge for food production in the coming decades is to meet the food demands of a growing population (Beddington, 2010). The difficulty of expanding agricultural land, along with the effect of climate change and the increase in world population are the current societal changes that make necessary to accelerate research to improve yield-potential and adaptation to stressful environments (Lobos et al., 2014; Camargo and Lobos). Increasing yields will require implementing novel approaches in gene discovery and plant breeding that will significantly increase both production per unit of land area and resource use efficiency (Parry and Hawkesford, 2010; Tanger et al., 2017). A critical component for accelerating the development of new and improved cultivars is the rapid and precise phenotypic assessment of thousands of breeding lines, clones or populations over time (Fu, 2015) and under diverse environments. The only reasonable way to satisfy all these demands is through acquisition of high-dimensional phenotypic data (high-throughput phenotyping) or “phenomics” (Houle et al., 2010). This approach may predict complex characters that are relevant for plant selection (forward phenomics), and will also provide explanations as to why given genotypes stands out in a specific environment (reverse phenomics) (Camargo and Lobos).Keywords
Latin America; high-throughput phenotyping; forward phenomics; reverse phenomics; software developmentPublished in
Frontiers in Plant Science2017, volume: 8, article number: 2181
Authors' information
Lobos, Gustavo
University of Talca
Camargo, Anyela
National Insititute of Agricultural Botany (NIAB)
del Pozo, Alejandro
University of Talca
Araus, Jose
University of Barcelona
Swedish University of Agricultural Sciences, Department of Plant Breeding
Doonan, John
Aberystwyth University
UKÄ Subject classification
Plant Biotechnology
Genetics and Breeding
Publication Identifiers
DOI: https://doi.org/10.3389/fpls.2017.02181
URI (permanent link to this page)
https://res.slu.se/id/publ/92863