Genome-wide prediction of complex traits in two outcrossing plant species through Deep Learning and Bayesian Regularized Neural Network
C Maldonado, F Mora-Poblete… - Frontiers in Plant …, 2020 - frontiersin.org
Genomic selection models were investigated to predict several complex traits in breeding
populations of Zea mays L. and Eucalyptus globulus Labill. For this, the following methods of …
populations of Zea mays L. and Eucalyptus globulus Labill. For this, the following methods of …
Evaluation of models for utilization in genomic prediction of agronomic traits in the louisiana sugarcane breeding program
S Satpathy, D Shahi, B Blanchard, M Pontif, K Gravois… - Agriculture, 2022 - mdpi.com
Sugarcane (Saccharum spp.) is an important perennial grass crop for both sugar and biofuel
industries. The Louisiana sugarcane breeding program is focused on improving sugar yield …
industries. The Louisiana sugarcane breeding program is focused on improving sugar yield …
Genomic prediction in multi-environment trials in maize using statistical and machine learning methods
In the context of multi-environment trials (MET), genomic prediction is proposed as a tool that
allows the prediction of the phenotype of single cross hybrids that were not tested in field …
allows the prediction of the phenotype of single cross hybrids that were not tested in field …
Efficient genomic prediction of yield and dry matter in hybrid potato
There is an ongoing endeavor within the potato breeding sector to rapidly adapt potato from
a clonal polyploid crop to a diploid hybrid potato crop. While hybrid breeding allows for the …
a clonal polyploid crop to a diploid hybrid potato crop. While hybrid breeding allows for the …
Accurate genomic prediction of Coffea canephora in multiple environments using whole-genome statistical models
LFV Ferrão, RG Ferrão, MAG Ferrão, A Fonseca… - Heredity, 2019 - nature.com
Genomic selection has been proposed as the standard method to predict breeding values in
animal and plant breeding. Although some crops have benefited from this methodology …
animal and plant breeding. Although some crops have benefited from this methodology …
[HTML][HTML] Genome-wide association study exposed the pleiotropic genes for yield-related and oil quality traits in Brassica napus L.
Y Xiang, MMU Helal, L Liang, M Zhang, H Han, X Dai… - Oil Crop Science, 2023 - Elsevier
Oilseed rape (Brassica napus L.) is an allotetraploid (AACC, 2n= 38) crop, valued for its
edible oil and protein content. seed yield and nutritional composition of rapeseed are …
edible oil and protein content. seed yield and nutritional composition of rapeseed are …
Making the most of all data: combining non‐genotyped and genotyped potato individuals with HBLUP
Using genomic information to predict phenotypes can improve the accuracy of estimated
breeding values and can potentially increase genetic gain over conventional breeding. In …
breeding values and can potentially increase genetic gain over conventional breeding. In …
Genomic prediction of pumpkin hybrid performance
Genomic prediction has become an increasingly popular tool for hybrid performance
evaluation in plant breeding mainly because that it can reduce cost and accelerate a …
evaluation in plant breeding mainly because that it can reduce cost and accelerate a …
SNP-based mixed model association of growth-and yield-related traits in popcorn
GS Mafra, AT Amaral Júnior, JE Almeida Filho… - PLoS …, 2019 - journals.plos.org
The identification of the genes responsible for complex traits is highly promising to
accelerate crop breeding, but such information is still limited for popcorn. Thus, in the …
accelerate crop breeding, but such information is still limited for popcorn. Thus, in the …
Harnessing genetic diversity in the USDA pea germplasm collection through genomic prediction
Phenotypic evaluation and efficient utilization of germplasm collections can be time-
intensive, laborious, and expensive. However, with the plummeting costs of next-generation …
intensive, laborious, and expensive. However, with the plummeting costs of next-generation …