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Artificial neural networks classify cotton genotypes for fiber length

Autor: Carvalho, Luiz Paulo de, Teodoro, Paulo Eduardo, Barroso, Lais Mayara Azevedo, Farias, Francisco José Correia, Morello, Camilo de Lellis, Nascimento, Moysés

Publikováno v: Crop Breeding and Applied Biotechnology v.18 n.2 2018
Crop Breeding and Applied Biotechnology
Sociedade Brasileira de Melhoramento de Plantas
instacron:CBAB
Crop Breeding and Applied Biotechnology, Volume: 18, Issue: 2, Pages: 200-204, Published: APR 2018

Fiber length is the main trait that needs to be improved in cotton. However, the presence of genotypes x environments interaction for this trait can hinder the recommendation of genotypes with greater length fibers. The aim of this study was to evalu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fc51d051b9afe71eeb626e5688da4589
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332018000200200

Regressão quantílica: aplicações em seleção genômica ampla

Autor: Barroso, Laís Mayara Azevedo

Publikováno v: Repositório Institucional da UFVUniversidade Federal de ViçosaUFV.

Submitted by Marco Antônio de Ramos Chagas (mchagas@ufv.br) on 2018-02-27T12:55:35Z No. of bitstreams: 1 texto completo.pdf: 1014245 bytes, checksum: bc632c2f8df9dc848814b664d9b50984 (MD5)
Made available in DSpace on 2018-02-27T12:55:35Z (GMT).

Externí odkaz: http://www.locus.ufv.br/handle/123456789/17940