Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction
The first paradigm of plant breeding involves direct selection-based phenotypic observation,
followed by predictive breeding using statistical models for quantitative traits constructed …
followed by predictive breeding using statistical models for quantitative traits constructed …
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 …
Role of the genomics–phenomics–agronomy paradigm in plant breeding
Plant breeding primarily focuses on improving agronomy traits, eg yield, quality, host plant
resistance to pathogens and pests, and abiotic stress tolerance; however, the methods for …
resistance to pathogens and pests, and abiotic stress tolerance; however, the methods for …
Multi-trait multi-environment genomic prediction of agronomic traits in advanced breeding lines of winter wheat
Genomic prediction is a promising approach for accelerating the genetic gain of complex
traits in wheat breeding. However, increasing the prediction accuracy (PA) of genomic …
traits in wheat breeding. However, increasing the prediction accuracy (PA) of genomic …
Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment
Crop breeding must embrace the broad diversity of smallholder agricultural systems to
ensure food security to the hundreds of millions of people living in challenging production …
ensure food security to the hundreds of millions of people living in challenging production …
Multi-trait multi-environment genomic prediction for end-use quality traits in winter wheat
Soft white wheat is a wheat class used in foreign and domestic markets to make various end
products requiring specific quality attributes. Due to associated cost, time, and amount of …
products requiring specific quality attributes. Due to associated cost, time, and amount of …
Multi-trait genomic-enabled prediction enhances accuracy in multi-year wheat breeding trials
A Montesinos-López, DE Runcie, MI Ibba… - G3, 2021 - academic.oup.com
Implementing genomic-based prediction models in genomic selection requires an
understanding of the measures for evaluating prediction accuracy from different models and …
understanding of the measures for evaluating prediction accuracy from different models and …
Partial least squares enhances genomic prediction of new environments
OA Montesinos-López, A Montesinos-López… - Frontiers in …, 2022 - frontiersin.org
In plant breeding, the need to improve the prediction of future seasons or new locations
and/or environments, also denoted as “leave one environment out,” is of paramount …
and/or environments, also denoted as “leave one environment out,” is of paramount …
Maintenance of UK bread baking quality: Trends in wheat quality traits over 50 years of breeding and potential for future application of genomic‐assisted selection
NS Fradgley, AR Bentley, KA Gardner… - The Plant …, 2023 - Wiley Online Library
Improved selection of wheat varieties with high end‐use quality contributes to sustainable
food systems by ensuring productive crops are suitable for human consumption end‐uses …
food systems by ensuring productive crops are suitable for human consumption end‐uses …
Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics
Motivation Developing new crop varieties with superior performance is highly important to
ensure robust and sustainable global food security. The speed of variety development is …
ensure robust and sustainable global food security. The speed of variety development is …