Heterosis and hybrid crop breeding: a multidisciplinary review
Although hybrid crop varieties are among the most popular agricultural innovations, the
rationale for hybrid crop breeding is sometimes misunderstood. Hybrid breeding is slower …
rationale for hybrid crop breeding is sometimes misunderstood. Hybrid breeding is slower …
High-dimensional LASSO-based computational regression models: regularization, shrinkage, and selection
F Emmert-Streib, M Dehmer - Machine Learning and Knowledge …, 2019 - mdpi.com
Regression models are a form of supervised learning methods that are important for
machine learning, statistics, and general data science. Despite the fact that classical …
machine learning, statistics, and general data science. Despite the fact that classical …
Deep learning versus parametric and ensemble methods for genomic prediction of complex phenotypes
R Abdollahi-Arpanahi, D Gianola… - Genetics Selection …, 2020 - Springer
Background Transforming large amounts of genomic data into valuable knowledge for
predicting complex traits has been an important challenge for animal and plant breeders …
predicting complex traits has been an important challenge for animal and plant breeders …
On the use of the Pearson correlation coefficient for model evaluation in genome-wide prediction
P Waldmann - Frontiers in genetics, 2019 - frontiersin.org
The large number of markers in genome-wide prediction demands the use of methods with
regularization and model comparison based on some hold-out test prediction error measure …
regularization and model comparison based on some hold-out test prediction error measure …
Genomic selection in sugarcane: Current status and future prospects
Sugarcane is a C4 and agro-industry-based crop with a high potential for biomass
production. It serves as raw material for the production of sugar, ethanol, and electricity …
production. It serves as raw material for the production of sugar, ethanol, and electricity …
Benchmarking machine learning and parametric methods for genomic prediction of feed efficiency-related traits in Nellore cattle
LFM Mota, LM Arikawa, SWB Santos… - Scientific Reports, 2024 - nature.com
Genomic selection (GS) offers a promising opportunity for selecting more efficient animals to
use consumed energy for maintenance and growth functions, impacting profitability and …
use consumed energy for maintenance and growth functions, impacting profitability and …
Understanding the effectiveness of genomic prediction in tetraploid potato
Use of genomic prediction (GP) in tetraploid is becoming more common. Therefore, we think
it is the right time for a comparison of GP models for tetraploid potato. GP models were …
it is the right time for a comparison of GP models for tetraploid potato. GP models were …
The utility of genomic prediction models in evolutionary genetics
SE McGaugh, AJ Lorenz… - Proceedings of the …, 2021 - royalsocietypublishing.org
Variation in complex traits is the result of contributions from many loci of small effect. Based
on this principle, genomic prediction methods are used to make predictions of breeding …
on this principle, genomic prediction methods are used to make predictions of breeding …
Multi-omics-based prediction of hybrid performance in canola
D Knoch, CR Werner, RC Meyer, D Riewe… - Theoretical and Applied …, 2021 - Springer
Key message Complementing or replacing genetic markers with transcriptomic data and use
of reproducing kernel Hilbert space regression based on Gaussian kernels increases hybrid …
of reproducing kernel Hilbert space regression based on Gaussian kernels increases hybrid …
Genomic prediction for agronomic traits in a diverse Flax (Linum usitatissimum L.) germplasm collection
A Hoque, JV Anderson, M Rahman - Scientific Reports, 2024 - nature.com
Breeding programs require exhaustive phenotyping of germplasms, which is time-
demanding and expensive. Genomic prediction helps breeders harness the diversity of any …
demanding and expensive. Genomic prediction helps breeders harness the diversity of any …