Genomic prediction in CIMMYT maize and wheat breeding programs

Genomic selection (GS) has been implemented in animal and plant species, and is regarded as a useful tool for accelerating genetic gains. Varying levels of genomic prediction accuracy have been obtained in plants, depending on the prediction problem assessed and on several other factors, such as trait heritability, the relationship between the individuals to be predicted and those used to train the models for prediction, number of markers, sample size and genotype × environment interaction (GE). The main objective of this article is to describe the results of genomic prediction in International Maize and Wheat Improvement Center's (CIMMYT's) maize and wheat breeding programs, from the initial assessment of the predictive ability of different models using pedigree and marker information to the present, when methods for implementing GS in practical global maize and wheat breeding programs are being studied and investigated. Results show that pedigree (population structure) accounts for a sizeable proportion of the prediction accuracy when a global population is the prediction problem to be assessed. However, when the prediction uses unrelated populations to train the prediction equations, prediction accuracy becomes negligible. When genomic prediction includes modeling GE, an increase in prediction accuracy can be achieved by borrowing information from correlated environments. Several questions on how to incorporate GS into CIMMYT's maize and wheat programs remain unanswered and subject to further investigation, for example, prediction within and between related bi-parental crosses. Further research on the quantification of breeding value components for GS in plant breeding populations is required.J Crossa, P Pérez, J Hickey, J Burgueño, L Ornella, J Cerón-Rojas, X Zhang, S Dreisigacker, R Babu, Y Li, D Bonnett and K Mathew

Initiating maize pre-breeding programs using genomic selection to harness polygenic variation from landrace populations

BACKGROUND: The limited genetic diversity of elite maize germplasms raises concerns about the potential to breed for new challenges. Initiatives have been formed over the years to identify and utilize useful diversity from landraces to overcome this issue. The aim of this study was to evaluate the proposed designs to initiate a pre-breeding program within the Seeds of Discovery (SeeD) initiative with emphasis on harnessing polygenic variation from landraces using genomic selection. We evaluated these designs with stochastic simulation to provide decision support about the effect of several design factors on the quality of resulting (pre-bridging) germplasm. The evaluated design factors were: i) the approach to initiate a pre-breeding program from the selected landraces, doubled haploids of the selected landraces, or testcrosses of the elite hybrid and selected landraces, ii) the genetic parameters of landraces and phenotypes, and iii) logistical factors related to the size and management of a pre-breeding program. RESULTS: The results suggest a pre-breeding program should be initiated directly from landraces. Initiating from testcrosses leads to a rapid reconstruction of the elite donor genome during further improvement of the pre-bridging germplasm. The analysis of accuracy of genomic predictions across the various design factors indicate the power of genomic selection for pre-breeding programs with large genetic diversity and constrained resources for data recording. The joint effect of design factors was summarized with decision trees with easy to follow guidelines to optimize pre-breeding efforts of SeeD and similar initiatives. CONCLUSIONS: Results of this study provide guidelines for SeeD and similar initiatives on how to initiate pre-breeding programs that aim to harness polygenic variation from landraces. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2345-z) contains supplementary material, which is available to authorized users

Cost-effectiveness of early versus selectively invasive strategy in patients with acute coronary syndromes without ST-segment elevation

AIMS: The ICTUS trial compared an early invasive versus a selectively invasive strategy in high risk patients with a non-ST-segment elevation acute coronary syndrome and an elevated cardiac troponin T. Alongside the ICTUS trial a cost-effectiveness analysis from a provider perspective was performed. METHODS AND RESULTS: A total of 1200 patients with a non-ST-segment elevation acute coronary syndrome and an elevated cardiac troponin T were randomized. An early invasive strategy was not superior to a selectively strategy. Total costs per patient were euro1379 (95% CI 416-2356) more expensive in the early invasive group (euro13,364) than in the selectively invasive group (euro11,985). Costs of revascularization were the main determinant of the cost difference between the two groups. The incremental cost-effectiveness ratio of the extra costs per prevented cardiac event was minus euro89,477. CONCLUSIONS: The overall results of the ICTUS study showed that an early invasive strategy was not superior to a selectively invasive strategy for patients with non-ST-segment elevation acute coronary syndrome and an elevated cardiac troponin T. This economic analysis of the ICTUS study showed that an early invasive strategy was slightly more expensive during the first year without gain in prevented cardiac events. In fact, we demonstrated a very moderate probability of the early invasive strategy being cost-efficient, even at a high level of willingness-to-pa