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

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

Abstract 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...

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Bibliographic Details
Main Authors: Konstantin Kozlov, Anupam Singh, Jens Berger, Eric Bishop-von Wettberg, Abdullah Kahraman, Abdulkadir Aydogan, Douglas Cook, Sergey Nuzhdin, Maria Samsonova
Format: Article
Language:English
Published: BMC 2019-03-01
Series:BMC Plant Biology
Subjects:
Wild chickpea
Model
Climatic factors
GWAS
Online Access:http://link.springer.com/article/10.1186/s12870-019-1685-2

Internet

http://link.springer.com/article/10.1186/s12870-019-1685-2

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