Enhancing genetic gain through genomic selection: from livestock to plants

Y Xu, X Liu, J Fu, H Wang, J Wang, C Huang… - Plant …, 2020 - cell.com
Although long-term genetic gain has been achieved through increasing use of modern
breeding methods and technologies, the rate of genetic gain needs to be accelerated to …

Genomic interventions for sustainable agriculture

A Bohra, U Chand Jha, ID Godwin… - Plant Biotechnology …, 2020 - Wiley Online Library
Agricultural production faces a Herculean challenge to feed the increasing global
population. Food production systems need to deliver more with finite land and water …

[HTML][HTML] Integrated genomic selection for rapid improvement of crops

G Krishnappa, S Savadi, BS Tyagi, SK Singh… - Genomics, 2021 - Elsevier
An increase in the rate of crop improvement is essential for achieving sustained food
production and other needs of ever-increasing population. Genomic selection (GS) is a …

[HTML][HTML] Molecular mechanisms controlling grain size and weight and their biotechnological breeding applications in maize and other cereal crops

Y Long, C Wang, C Liu, H Li, A Pu, Z Dong… - Journal of Advanced …, 2024 - Elsevier
Background Cereal crops are a primary energy source for humans. Grain size and weight
affect both evolutionary fitness and grain yield of cereals. Although studies on gene mining …

Haplotype blocks for genomic prediction: a comparative evaluation in multiple crop datasets

SE Weber, M Frisch, RJ Snowdon… - Frontiers in Plant …, 2023 - frontiersin.org
In modern plant breeding, genomic selection is becoming the gold standard for selection of
superior genotypes. The basis for genomic prediction models is a set of phenotyped lines …

Genomic selection in plant breeding: Key factors shaping two decades of progress

A Alemu, J Åstrand, OA Montesinos-Lopez… - Molecular Plant, 2024 - cell.com
Genomic selection, the application of genomic prediction (GP) models to select candidate
individuals, has significantly advanced in the past two decades, effectively accelerating …

Training population optimization for genomic selection

I Berro, B Lado, RS Nalin, M Quincke… - The Plant …, 2019 - Wiley Online Library
Core Ideas Training populations can be optimized for specific testing populations. Optimized
training populations are smaller, more related, and more predictive. Stratified sampling with …

Tomato genomic prediction for good performance under high-temperature and identification of loci involved in thermotolerance response

E Cappetta, G Andolfo, A Guadagno… - Horticulture …, 2021 - academic.oup.com
Many studies showed that few degrees above tomato optimum growth temperature
threshold can lead to serious loss in production. Therefore, the development of innovative …

Genomics-assisted breeding for quantitative disease resistances in small-grain cereals and maize

T Miedaner, ALGC Boeven, DS Gaikpa… - International Journal of …, 2020 - mdpi.com
Generating genomics-driven knowledge opens a way to accelerate the resistance breeding
process by family or population mapping and genomic selection. Important prerequisites are …

Predicting Genotype× Environment× Management (G× E× M) interactions for the design of crop improvement strategies: integrating breeder, agronomist, and farmer …

M Cooper, CD Messina, T Tang, C Gho… - Plant breeding …, 2022 - Wiley Online Library
Summary Genotype‐by‐environment‐by‐management (G× E× M) interactions for crop
productivity represent both challenges and opportunities for long‐term crop improvement …