Genomic prediction of leaf rust resistance to Arabica coffee using machine learning algorithms

Genomic prediction of leaf rust resistance to Arabica coffee using machine learning algorithms

ABSTRACT Genomic selection (GS) emphasizes the simultaneous prediction of the genetic effects of thousands of scattered markers over the genome. Several statistical methodologies have been used in GS for the prediction of genetic merit. In general, such methodologies require certain assumptions abou...

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Bibliographic Details
Main Authors: Ithalo Coelho de Sousa, Moysés Nascimento, Gabi Nunes Silva, Ana Carolina Campana Nascimento, Cosme Damião Cruz, Fabyano Fonseca e Silva, Dênia Pires de Almeida, Kátia Nogueira Pestana, Camila Ferreira Azevedo, Laércio Zambolim, Eveline Teixeira Caixeta
Format: Article
Language:English
Published: Universidade de São Paulo 2020-07-01
Series:Scientia Agricola
Subjects:
Hemileia vastatrix
statistical learning
plant breeding
artificial intelligence
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162021000401102&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162021000401102&tlng=en

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