[HTML][HTML] 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 …
Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize
R Gevartosky, HF Carvalho, G Costa-Neto… - … de Biotecnología y …, 2023 - digital.csic.es
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-environment …
representative training set. This is a complex task, even in single-trait single-environment …
Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize
R Gevartosky, HF Carvalho… - BMC plant …, 2023 - pubmed.ncbi.nlm.nih.gov
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 …
Enviromic-based kernels optimize resource allocation with multi-trait multi-environment genomic prediction for tropical maize
R Gevartosky - 2021 - bdtd.ibict.br
Genomic prediction (GP) success is directly dependent on establishing a training
population. Incorporating high-quality envirotyping data increases the efficiency of GP …
population. Incorporating high-quality envirotyping data increases the efficiency of GP …
Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical maize.
R Gevartosky, HF Carvalho, G Costa-Neto… - 2023 - cabidigitallibrary.org
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 …
[HTML][HTML] 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 - ncbi.nlm.nih.gov
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 …
[HTML][HTML] Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize
R Gevartosky, HF Carvalho… - BMC Plant …, 2023 - bmcplantbiol.biomedcentral.com
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-environment …
representative training set. This is a complex task, even in single-trait single-environment …
[PDF][PDF] Enviromic-based Kernels Optimize Resource Allocation with Multi-trait Multi-environment Genomic 1 Prediction for Tropical Maize 2
R Gevartosky, HF Carvalho, G Costa-Neto… - scholar.archive.org
Genomic prediction (GP) success is directly dependent on establishing a training
population, where 13 incorporating envirotyping data and correlated traits may increase the …
population, where 13 incorporating envirotyping data and correlated traits may increase the …
Enviromic-based kernels optimize resource allocation with multi-trait multi-environment genomic prediction for tropical maize
R Gevartosky - teses.usp.br
Genomic prediction (GP) success is directly dependent on establishing a training
population. Incorporating high-quality envirotyping data increases the efficiency of GP …
population. Incorporating high-quality envirotyping data increases the efficiency of GP …
Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize
R Gevartosky, HF Carvalho, G Costa-Neto… - 2023 - agris.fao.org
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 …