Predicting the future of plant breeding: complementing empirical evaluation with genetic prediction

Cooper, M. and Messina, C.D. and Podlich, D. and et al, . (2014) Predicting the future of plant breeding: complementing empirical evaluation with genetic prediction. Crop and Pasture Science, 65 (4). pp. 311-336.

[img] PDF - Published Version
Restricted to ICRISAT researchers only

Abstract

For the foreseeable future, plant breeding methodology will continue to unfold as a practical application of the scaling of quantitative biology. These efforts to increase the effective scale of breeding programs will focus on the immediate and long-term needs of society. The foundations of the quantitative dimension will be integration of quantitative genetics, statistics, gene-to-phenotype knowledge of traits embedded within crop growth and development models. The integration will be enabled by advances in quantitative genetics methodology and computer simulation. The foundations of the biology dimension will be integrated experimental and functional gene-to-phenotype modelling approaches that advance our understanding of functional germplasm diversity, and gene-to-phenotype trait relationships for the native and transgenic variation utilised in agricultural crops. The trait genetic knowledge created will span scales of biology, extending from molecular genetics to multi-trait phenotypes embedded within evolving genotype–environment systems. The outcomes sought and successes achieved by plant breeding will be measured in terms of sustainable improvements in agricultural production of food, feed, fibre, biofuels and other desirable plant products that meet the needs of society. In this review, examples will be drawn primarily from our experience gained through commercial maize breeding. Implications for other crops, in both the private and public sectors, will be discussed

Item Type: Article
Additional Information: The comprehensive research effort that is necessary to develop and advance new breeding methodologies, such as those described here, relies on committed and unselfish team efforts. The authors acknowledge the many coordinated and collaborative team efforts that were undertaken over the last decade within the Pioneer research community to enable the research paths that were explored and the discoveries that were ultimately adopted. Ultimately, success from such efforts is motivated by the opportunity and responsibility to improve the sustainability of global agricultural systems for the benefit and needs of society and future generations.
Uncontrolled Keywords: Envirotyping, Genetics, Genotyping, Modeling, Phenotyping, Physiology, Prediction, Selection
Author Affiliation: DuPont-Pioneer, 7250 NW 62nd Avenue, PO Box 552, Johnston, IA 50131, USA.
Subjects: Plant Production
Crop Improvement
Divisions: Other Crops
Depositing User: Ms Ishrath Durafsha
Date Deposited: 17 Jun 2014 10:08
Last Modified: 17 Jun 2014 10:08
Official URL: http://dx.doi.org/10.1071/CP14007
URI: http://eprints.icrisat.ac.in/id/eprint/13242

Actions (login required)

View Item View Item