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Download fileEstimated predictive ability.
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posted on 2022-01-26, 18:27 authored by Ithalo Coelho de Sousa, Moysés Nascimento, Isabela de Castro Sant’anna, Eveline Teixeira Caixeta, Camila Ferreira Azevedo, Cosme Damião Cruz, Felipe Lopes da Silva, Emilly Ruas Alkimim, Ana Carolina Campana Nascimento, Nick Vergara Lopes SerãoYield’s estimated predictive ability and coffee leaf rust resistance’s estimated predictive ability according to artificial neural network with 1 and 3 hidden layers and Genomic BLUP (GBLUP).
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three hidden layersthird hidden layersrequire priori assumptionshigh computational costhandle different typesdiv >< p82 intervarietal hybrids165 phenotyped individuals000 neural networksvarietal group robustaartificial neural networkcoffea canephora dominance genomic architecturesbest predictive ability() heritability estimatesdominance architecture anndata used consistspredictive abilitynetwork architecturescanephora best architecturesvarietal conilonsense ()c dominance effectstwo traitstotal importancestill limitedrust resistancemethods variedmay increasemarker effectsmany methodologiesgenetic meritconcordance ratecomplex nonbiological interpretabilityaccumulated 708 %,51 clones387 snps33 neurons24 neurons
