Predicting Longitudinal Traits Derived from High-Throughput Phenomics in Contrasting Environments Using Genomic Legendre Polynomials and B-Splines

Predicting Longitudinal Traits Derived from High-Throughput Phenomics in Contrasting Environments Using Genomic Legendre Polynomials and B-Splines

Recent advancements in phenomics coupled with increased output from sequencing technologies can create the platform needed to rapidly increase abiotic stress tolerance of crops, which increasingly face productivity challenges due to climate change. In particular, high-throughput phenotyping (HTP) en...

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Bibliographic Details
Main Authors: Mehdi Momen, Malachy T. Campbell, Harkamal Walia, Gota Morota
Format: Article
Language:English
Published: Oxford University Press 2019-10-01
Series:G3: Genes, Genomes, Genetics
Subjects:
genomic prediction
phenomics
longitudinal modeling
random regression
time series
GenPred
Shared Data Resources
Online Access:http://g3journal.org/lookup/doi/10.1534/g3.119.400346

Internet

http://g3journal.org/lookup/doi/10.1534/g3.119.400346

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