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] 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 …

Genomic Prediction of Agronomic Traits in Common Bean (Phaseolus vulgaris L.) Under Environmental Stress

B Keller, D Ariza-Suarez, J De la Hoz… - Frontiers in Plant …, 2020 - frontiersin.org
In plant and animal breeding, genomic prediction models are established to select new lines
based on genomic data, without the need for laborious phenotyping. Prediction models can …

Genome-wide association analysis and genomic prediction for adult-plant resistance to Septoria tritici blotch and powdery mildew in winter wheat

A Alemu, G Brazauskas, DS Gaikpa… - Frontiers in …, 2021 - frontiersin.org
Septoria tritici blotch (STB) caused by the fungal pathogen Zymoseptoria tritici and powdery
mildew (PM) caused by Blumeria graminis f. sp tritici (Bgt) are among the forefront foliar …

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 …

Advances in genomic tools for plant breeding: harnessing DNA molecular markers, genomic selection, and genome editing

R Kumar, SP Das, BU Choudhury, A Kumar… - Biological Research, 2024 - Springer
Conventional pre-genomics breeding methodologies have significantly improved crop yields
since the mid-twentieth century. Genomics provides breeders with advanced tools for whole …

Sequence‐based mapping identifies a candidate transcription repressor underlying awn suppression at the B1 locus in wheat

N DeWitt, M Guedira, E Lauer, M Sarinelli… - New …, 2020 - Wiley Online Library
Awns are stiff, hair‐like structures which grow from the lemmas of wheat (Triticum aestivum)
and other grasses that contribute to photosynthesis and play a role in seed dispersal …

Genetics of resistance to septoria nodorum blotch in wheat

AR Peters Haugrud, Z Zhang, TL Friesen… - Theoretical and Applied …, 2022 - Springer
Septoria nodorum blotch (SNB) is a foliar disease of wheat caused by the necrotrophic
fungal pathogen Parastagonospora nodorum. Research over the last two decades has …

Genomic selection—considerations for successful implementation in wheat breeding programs

DL Larkin, DN Lozada, RE Mason - Agronomy, 2019 - mdpi.com
In order to meet the goal of doubling wheat yield by 2050, breeders must work to improve
breeding program efficiency while also implementing new and improved technologies in …

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 …