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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Detalhes bibliográficos
Publicado no:BMC Plant Biol
Main Authors: Kozlov, Konstantin, Singh, Anupam, Berger, Jens, Bishop-von Wettberg, Eric, Kahraman, Abdullah, Aydogan, Abdulkadir, Cook, Douglas, Nuzhdin, Sergey, Samsonova, Maria
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2019
Assuntos:
Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6423741/
https://ncbi.nlm.nih.gov/pubmed/30890147
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12870-019-1685-2
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