Selection in sugarcane families with artificial neural networks

Artificial neural network analysis of genetic diversity in Carica papaya L.

(2017) Cibelle Degel Barbosa et al.   Crop Breeding and Applied Biotechnology

Genetic improvement of sugar cane for bioenergy: the brazilian experience in network research with RIDESA

(2014) Márcio Henrique Pereira Barbosa et al.   Crop Breeding and Applied Biotechnology

Artificial neural networks for adaptability and stability evaluation in alfalfa genotypes

(2013) Moysés Nascimento et al.   Crop Breeding and Applied Biotechnology

Uso de redes neurais artificais na predição de valores genéticos para peso aos 205 dias em bovinos da raça Tabapuã

(2012) R.V. Ventura et al.   ARQUIVO BRASILEIRO DE MEDICINA VETERINARIA E ZOOTECNIA

Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat

(2011) Daniel Gianola et al.   BMC GENETICS

Family Selection Improves the Efficiency and Effectiveness of Selecting Original Seedlings and Parents

(2011) J. K. Stringer et al.   Sugar Tech

Artificial neural networks as a tool for plant identification: a case study on Vietnamese tea accessions

(2008) Camilla Pandolfi et al.   EUPHYTICA