Biological reality and parsimony in crop models—why we need both in crop improvement!
The potential to add significant value to the rapid advances in plant breeding technologies
associated with statistical whole-genome prediction methods is a new frontier for crop …
associated with statistical whole-genome prediction methods is a new frontier for crop …
The modern plant breeding triangle: optimizing the use of genomics, phenomics, and enviromics data
J Crossa, R Fritsche-Neto… - Frontiers in plant …, 2021 - frontiersin.org
Continued increases in genetic gain demonstrate the success of established public and
private plant breeding programs. Nevertheless, in the last two decades, a growing body of …
private plant breeding programs. Nevertheless, in the last two decades, a growing body of …
[HTML][HTML] Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding
New types of phenotyping tools generate large amounts of data on many aspects of plant
physiology and morphology with high spatial and temporal resolution. These new …
physiology and morphology with high spatial and temporal resolution. These new …
Sustaining productivity gains in the face of climate change: A research agenda for US wheat
Y Kusunose, JJ Rossi, DA Van Sanford… - Global change …, 2023 - Wiley Online Library
Wheat is a globally important crop and one of the “big three” US field crops. But unlike the
other two (maize and soybean), in the United States its development is commercially …
other two (maize and soybean), in the United States its development is commercially …
Resource allocation optimization with multi-trait genomic prediction for bread wheat (Triticum aestivum L.) baking quality
Abstract Key Message Multi-trait genomic prediction models are useful to allocate available
resources in breeding programs by targeted phenotyping of correlated traits when predicting …
resources in breeding programs by targeted phenotyping of correlated traits when predicting …
EnvRtype: a software to interplay enviromics and quantitative genomics in agriculture
Envirotyping is an essential technique used to unfold the nongenetic drivers associated with
the phenotypic adaptation of living organisms. Here, we introduce the EnvRtype R package …
the phenotypic adaptation of living organisms. Here, we introduce the EnvRtype R package …
Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat
P Juliana, OA Montesinos-López, J Crossa… - Theoretical and Applied …, 2019 - Springer
Genomic selection and high-throughput phenotyping (HTP) are promising tools to
accelerate breeding gains for high-yielding and climate-resilient wheat varieties. Hence, our …
accelerate breeding gains for high-yielding and climate-resilient wheat varieties. Hence, our …
Utility of climatic information via combining ability models to improve genomic prediction for yield within the genomes to fields maize project
Genomic prediction provides an efficient alternative to conventional phenotypic selection for
developing improved cultivars with desirable characteristics. New and improved methods to …
developing improved cultivars with desirable characteristics. New and improved methods to …
Prediction of maize phenotypic traits with genomic and environmental predictors using gradient boosting frameworks
CC Westhues, GS Mahone, S da Silva… - Frontiers in plant …, 2021 - frontiersin.org
The development of crop varieties with stable performance in future environmental
conditions represents a critical challenge in the context of climate change. Environmental …
conditions represents a critical challenge in the context of climate change. Environmental …
Using genomic prediction with crop growth models enables the prediction of associated traits in wheat
A Jighly, T Thayalakumaran, GJ O'Leary… - Journal of …, 2023 - academic.oup.com
Crop growth models (CGM) can predict the performance of a cultivar in untested
environments by sampling genotype-specific parameters. As they cannot predict the …
environments by sampling genotype-specific parameters. As they cannot predict the …