Multi-trait, multi-environment genomic prediction of durum wheat with genomic best linear unbiased predictor and deep learning methods
OA Montesinos-López, A Montesinos-López… - Frontiers in Plant …, 2019 - frontiersin.org
Although durum wheat (Triticum turgidum var. durum Desf.) is a minor cereal crop
representing just 5–7% of the world's total wheat crop, it is a staple food in Mediterranean …
representing just 5–7% of the world's total wheat crop, it is a staple food in Mediterranean …
Association mapping of flowering time QTLs and insight into their contributions to rapeseed growth habits
N Wang, B Chen, K Xu, G Gao, F Li, J Qiao… - Frontiers in plant …, 2016 - frontiersin.org
Plants have developed sophisticated systems to adapt to local conditions during evolution,
domestication and natural or artificial selection. The selective pressures of these different …
domestication and natural or artificial selection. The selective pressures of these different …
Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize
R Gevartosky, HF Carvalho, G Costa-Neto… - BMC Plant …, 2023 - Springer
Background Success in any genomic prediction platform is directly dependent on
establishing a representative training set. This is a complex task, even in single-trait single …
establishing a representative training set. This is a complex task, even in single-trait single …
Quantile regression applied to genome-enabled prediction of traits related to flowering time in the common bean
Genomic selection (GS) aims to incorporate molecular information directly into the prediction
of individual genetic merit. Regularized quantile regression (RQR) can be used to fit models …
of individual genetic merit. Regularized quantile regression (RQR) can be used to fit models …
Identification of a genomic region controlling thermotolerance at flowering in maize using a combination of whole genomic re-sequencing and bulked segregant …
W Zeng, J Shi, C Qiu, Y Wang, S Rehman, S Yu… - Theoretical and Applied …, 2020 - Springer
Key message A novel genomic region controlling thermotolerance at flowering was
identified by the combination of whole genomic re-sequencing and bulked segregant …
identified by the combination of whole genomic re-sequencing and bulked segregant …
Predictive breeding for maize: Making use of molecular phenotypes, machine learning, and physiological crop models
Maize (Zea mays L.) has been a focus of scientific research and breeding for over a century.
It is also one of the most economically important crops in the world, with a value of …
It is also one of the most economically important crops in the world, with a value of …
Using Genome-Wide Predictions to Assess the Phenotypic Variation of a Barley (Hordeum sp.) Gene Bank Collection for Important Agronomic Traits and Passport …
Genome-wide predictions are a powerful tool for predicting trait performance. Against this
backdrop we aimed to evaluate the potential and limitations of genome-wide predictions to …
backdrop we aimed to evaluate the potential and limitations of genome-wide predictions to …
[HTML][HTML] Genome-wide haplotype analysis improves trait predictions in Brassica napus hybrids
Combining ability is crucial for parent selection in crop hybrid breeding. Many studies have
attempted to provide reliable and quick methods to identify genome regions in parental lines …
attempted to provide reliable and quick methods to identify genome regions in parental lines …
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 …
Field-based high-throughput phenotyping enhances phenomic and genomic predictions for grain yield and plant height across years in maize
A Adak, AJ DeSalvio, MA Arik… - G3: Genes, Genomes …, 2024 - academic.oup.com
Field-based phenomic prediction employs novel features, like vegetation indices (VIs) from
drone images, to predict key agronomic traits in maize, despite challenges in matching …
drone images, to predict key agronomic traits in maize, despite challenges in matching …