Genomic selection in plant breeding: methods, models, and perspectives

J Crossa, P Pérez-Rodríguez, J Cuevas… - Trends in plant …, 2017 - cell.com
Genomic selection (GS) facilitates the rapid selection of superior genotypes and accelerates
the breeding cycle. In this review, we discuss the history, principles, and basis of GS and …

[HTML][HTML] Role of modelling in international crop research: overview and some case studies

M Reynolds, M Kropff, J Crossa, J Koo, G Kruseman… - Agronomy, 2018 - mdpi.com
Crop modelling has the potential to contribute to global food and nutrition security. This
paper briefly examines the history of crop modelling by international crop research centres …

Multienvironment and multitrait genomic selection models in unbalanced early‐generation wheat yield trials

BP Ward, G Brown-Guedira, P Tyagi, FL Kolb… - Crop …, 2019 - Wiley Online Library
The majority of studies evaluating genomic selection (GS) for plant breeding have used
single‐trait, single‐site models that ignore genotype× environment interaction (GEI) effects …

[HTML][HTML] Harness the power of genomic selection and the potential of germplasm in crop breeding for global food security in the era with rapid climate change

T He, C Li - The Crop Journal, 2020 - Elsevier
Crop genetic improvements catalysed population growth, which in turn has increased the
pressure for food security. We need to produce 70% more food to meet the demands of 9.5 …

[HTML][HTML] A review of integrative omic approaches for understanding rice salt response mechanisms

MA Ullah, MR Abdullah-Zawawi, RA Zainal-Abidin… - Plants, 2022 - mdpi.com
Soil salinity is one of the most serious environmental challenges, posing a growing threat to
agriculture across the world. Soil salinity has a significant impact on rice growth …

[HTML][HTML] Application of genomic big data in plant breeding: Past, present, and future

KD Kim, Y Kang, C Kim - Plants, 2020 - mdpi.com
Plant breeding has a long history of developing new varieties that have ensured the food
security of the human population. During this long journey together with humanity, plant …

A multivariate Poisson deep learning model for genomic prediction of count data

OA Montesinos-López… - G3: Genes …, 2020 - academic.oup.com
The paradigm called genomic selection (GS) is a revolutionary way of developing new
plants and animals. This is a predictive methodology, since it uses learning methods to …

[HTML][HTML] Multimodal performers for genomic selection and crop yield prediction

H Måløy, S Windju, S Bergersen, M Alsheikh… - Smart Agricultural …, 2021 - Elsevier
Working towards optimal crop yields is a crucial step towards securing a stable food supply
for the world. To this end, approaches to model and predict crop yields can help speed up …

Application of a Poisson deep neural network model for the prediction of count data in genome‐based prediction

OA Montesinos‐Lopez… - The Plant …, 2021 - Wiley Online Library
Genomic selection (GS) is revolutionizing conventional ways of developing new plants and
animals. However, because it is a predictive methodology, GS strongly depends on …

Prediction of multiple-trait and multiple-environment genomic data using recommender systems

OA Montesinos-López… - G3: Genes …, 2018 - academic.oup.com
In genomic-enabled prediction, the task of improving the accuracy of the prediction of lines
in environments is difficult because the available information is generally sparse and usually …