TY  - JOUR
A1  - Mbebi, Alain J.
A1  - Breitler, Jean-Christophe
A1  - Bordeaux, M'elanie
A1  - Sulpice, Ronan
A1  - McHale, Marcus
A1  - Tong, Hao
A1  - Toniutti, Lucile
A1  - Castillo, Jonny Alonso
A1  - Bertrand, Benoit
A1  - Nikoloski, Zoran
T1  - A comparative analysis of genomic and phenomic predictions of growth-related traits in 3-way coffee hybrids
T2  - G3: Genes, genomes, genetics
N2  - Genomic prediction has revolutionized crop breeding despite remaining issues of transferability of models to unseen environmental conditions and environments. Usage of endophenotypes rather than genomic markers leads to the possibility of building phenomic prediction models that can account, in part, for this challenge. Here, we compare and contrast genomic prediction and phenomic prediction models for 3 growth-related traits, namely, leaf count, tree height, and trunk diameter, from 2 coffee 3-way hybrid populations exposed to a series of treatment-inducing environmental conditions. The models are based on 7 different statistical methods built with genomic markers and ChlF data used as predictors. This comparative analysis demonstrates that the best-performing phenomic prediction models show higher predictability than the best genomic prediction models for the considered traits and environments in the vast majority of comparisons within 3-way hybrid populations. In addition, we show that phenomic prediction models are transferrable between conditions but to a lower extent between populations and we conclude that chlorophyll a fluorescence data can serve as alternative predictors in statistical models of coffee hybrid performance. Future directions will explore their combination with other endophenotypes to further improve the prediction of growth-related traits for crops.
KW  - genomic prediction
KW  - phenomic prediction
KW  - 3-way coffee hybrids
KW  - chlorophyll a fluorescence
KW  - GenPred
KW  - Shared Data Resource
Y1  - 2022
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/63718
SN  - 2160-1836
VL  - 12
IS  - 9
PB  - Genetics Soc. of America
CY  - Pittsburgh, PA
ER  -