Non-linear regression models for time to flowering in wild chickpea combine genetic and climatic factors

BACKGROUND: Accurate prediction of crop flowering time is required for reaching maximal farm efficiency. Several models developed to accomplish this goal are based on deep knowledge of plant phenology, requiring large investment for every individual crop or new variety. Mathematical modeling can be...

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Detalles Bibliográficos
Autores principales: Kozlov, Konstantin, Singh, Anupam, Berger, Jens, Bishop-von Wettberg, Eric, Kahraman, Abdullah, Aydogan, Abdulkadir, Cook, Douglas, Nuzhdin, Sergey, Samsonova, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6423741/
https://www.ncbi.nlm.nih.gov/pubmed/30890147
http://dx.doi.org/10.1186/s12870-019-1685-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6423741/
https://www.ncbi.nlm.nih.gov/pubmed/30890147
http://dx.doi.org/10.1186/s12870-019-1685-2

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