Application of Genetic Algorithm to Predict Optimal Sowing Region and Timing for Kentucky Bluegrass in China.

Pi, Erxu; Qu, Liqun; Tang, Xi; Peng, Tingting; Jiang, Bo; Guo, Jiangfeng; Lu, Hongfei; Du, Liqun

Pi, Erxu; Qu, Liqun; Tang, Xi; Peng, Tingting; Jiang, Bo; Guo, Jiangfeng; Lu, Hongfei; Du, Liqun.

Afiliação

Pi E; College of Life and Environmental Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China.
Qu L; College of Life and Environmental Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China.
Tang X; College of Life Science, Zhejiang Sci-Tech University, Hangzhou, PR China.
Peng T; College of Life and Environmental Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China.
Jiang B; College of Biology and Food Engineering, Changshu Institute of Technology, Changshu, PR China.
Guo J; Meteorological Bureau of Shaanxi Province, Xi'an, Shaanxi Province, PR China.
Lu H; College of Life Science, Zhejiang Sci-Tech University, Hangzhou, PR China.
Du L; College of Life and Environmental Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China.

PLoS One ; 10(7): e0131489, 2015.

Article em En | MEDLINE | ID: mdl-26154163

Assuntos

Algoritmos; Poa/crescimento & desenvolvimento; China; Ritmo Circadiano; Germinação; Modelos Teóricos; Estações do Ano; Temperatura; Fatores de Tempo

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Poa Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Revista: PLoS One Ano de publicação: 2015 Tipo de documento: Article

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