Artificial neural networks classify cotton genotypes for fiber length-Reference-Cited by-同舟云学术

Artificial neural networks classify cotton genotypes for fiber length

Published:2018-04 Issue:2 Volume:18 Page:200-204
ISSN:1984-7033
Container-title:Crop Breeding and Applied Biotechnology
language:
Short-container-title:Crop Breed. Appl. Biotechnol.

Author:

Carvalho Luiz Paulo de¹,Teodoro Paulo Eduardo²,Barroso Lais Mayara Azevedo³,Farias Francisco José Correia¹,Morello Camilo de Lellis¹,Nascimento Moysés³

Affiliation:

1. Centro Nacional de Pesquisa de Algodão, Brazil

2. Universidade Federal de Mato Grosso do Sul, Brazil

3. Universidade Federal de Viçosa, Brazil

Publisher

FapUNIFESP (SciELO)

Subject

Agronomy and Crop Science,Biotechnology,General Medicine

Link

http://www.scielo.br/pdf/cbab/v18n2/1984-7033-cbab-18-02-200.pdf

Reference16 articles.

1. Assessment of genotype x environment interactions for yield and fiber quality in cotton performance trials;Campbell BT;Euphytica,2005

2. Selection for increased fiber length in cotton progenies from Acala and Non-Acala types;Carvalho LP;Crop Science,2015

3. Agronomic and technical fibers traits in elite genotypes of cotton herbaceous;Carvalho LP;African Journal of Agricultural Research,2015

4. Estabilidade e adaptabilidade de genótipos de algodão de fibra colorida quanto aos caracteres de fibra.;Carvalho LP;Ciência Rural,2015

5. Selection of cotton genotypes for greater length of fibers;Carvalho LP;Crop Breeding and Applied Biotechnology,2016

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