SSR-based genetic analysis of sweet corn inbred lines using artificial neural networks

Author:

Ferreira Fernando1,Scapim Carlos Alberto1,Maldonado Carlos2,Mora Freddy2

Affiliation:

1. Universidade Estadual de Maringá, Brazil

2. Universidad de Talca, Chile

Publisher

FapUNIFESP (SciELO)

Subject

Agronomy and Crop Science,Biotechnology,General Medicine

Reference26 articles.

1. Bayesian analysis of quantitative traits in popcorn (Zea mays L.) through four cycles of recurrent selection;Amaral ATJ;Plant Production Science,2016

2. Marker-trait associations for survival, growth, and flowering components in Eucalyptus cladocalyx under arid conditions;Ballesta P;Biologia Plantarum,2015

3. Artificial neural network analysis of genetic diversity in Carica papaya L;Barbosa CD;Crop Breeding and Applied Biotechnology,2011

4. A genome-wide association study for agronomic traits in soybean using SNP markers and SNP-based haplotype analysis;Contreras-Soto RI;PLoS ONE,2017

5. A cluster separation measure;Davies DL;IEEE Transactions on Pattern Analysis and Machine Intelligence,1979

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