Biological reality and parsimony in crop models—why we need both in crop improvement!

G Hammer, C Messina, A Wu, M Cooper - in silico Plants, 2019 - academic.oup.com
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 …

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 …

[HTML][HTML] Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding

FA Van Eeuwijk, D Bustos-Korts, EJ Millet, MP Boer… - Plant science, 2019 - Elsevier
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 …

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 …

Resource allocation optimization with multi-trait genomic prediction for bread wheat (Triticum aestivum L.) baking quality

B Lado, D Vázquez, M Quincke, P Silva… - Theoretical and Applied …, 2018 - Springer
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 …

EnvRtype: a software to interplay enviromics and quantitative genomics in agriculture

G Costa-Neto, G Galli, HF Carvalho, J Crossa… - G3, 2021 - academic.oup.com
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 …

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 …

Utility of climatic information via combining ability models to improve genomic prediction for yield within the genomes to fields maize project

D Jarquin, N De Leon, C Romay, M Bohn… - Frontiers in …, 2021 - frontiersin.org
Genomic prediction provides an efficient alternative to conventional phenotypic selection for
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 …

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 …