Genomic selection: A tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops

N Budhlakoti, AK Kushwaha, A Rai… - Frontiers in …, 2022 - frontiersin.org
Since the inception of the theory and conceptual framework of genomic selection (GS),
extensive research has been done on evaluating its efficiency for utilization in crop …

[HTML][HTML] Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data

H Tong, Z Nikoloski - Journal of plant physiology, 2021 - Elsevier
Highly efficient and accurate selection of elite genotypes can lead to dramatic shortening of
the breeding cycle in major crops relevant for sustaining present demands for food, feed …

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 …

Plant breeding for harmony between sustainable agriculture, the environment, and global food security: an era of genomics‐assisted breeding

A Hafeez, B Ali, MA Javed, A Saleem, M Fatima, A Fathi… - Planta, 2023 - Springer
Main conclusion Genomics-assisted breeding represents a crucial frontier in enhancing the
balance between sustainable agriculture, environmental preservation, and global food …

Whole-genome resequencing identifies candidate genes and allelic variation in the MdNADP-ME promoter that regulate fruit malate and fructose contents in apple

W Fu, L Zhao, W Qiu, X Xu, M Ding, L Lan, S Qu… - Plant …, 2024 - cell.com
Soluble sugar and organic acids are key determinants of fruit organoleptic quality and
directly affect the commodity value and economic returns of fruit crops. We performed whole …

A comparison of methods for training population optimization in genomic selection

J Fernández-González, D Akdemir… - Theoretical and Applied …, 2023 - Springer
Abstract Key message Maximizing CDmean and Avg_GRM_self were the best criteria for
training set optimization. A training set size of 50–55%(targeted) or 65–85%(untargeted) is …

Training set optimization for sparse phenotyping in genomic selection: A conceptual overview

J Isidro y Sánchez, D Akdemir - Frontiers in Plant Science, 2021 - frontiersin.org
Genomic selection (GS) is becoming an essential tool in breeding programs due to its role in
increasing genetic gain per unit time. The design of the training set (TRS) in GS is one of the …

The apple REFPOP—a reference population for genomics-assisted breeding in apple

M Jung, M Roth, MJ Aranzana… - Horticulture …, 2020 - academic.oup.com
Breeding of apple is a long-term and costly process due to the time and space requirements
for screening selection candidates. Genomics-assisted breeding utilizes genomic and …

Boosting grapevine breeding for climate-smart viticulture: from genetic resources to predictive genomics

G Magon, V De Rosa, M Martina, R Falchi… - Frontiers in Plant …, 2023 - frontiersin.org
The multifaceted nature of climate change is increasing the urgency to select resilient
grapevine varieties, or generate new, fitter cultivars, to withstand a multitude of new …

Genetic architecture and genomic predictive ability of apple quantitative traits across environments

M Jung, B Keller, M Roth, MJ Aranzana… - Horticulture …, 2022 - academic.oup.com
Implementation of genomic tools is desirable to increase the efficiency of apple breeding.
Recently, the multi-environment apple reference population (apple REFPOP) proved useful …