Social and Behavioral Sciences Commons^™

Non-Linear Regression Models For Time To Flowering In Wild Chickpea Combine Genetic And Climatic Factors, Konstantin Kozlov, Anupam Singh, Jens Berger, Eric Bishop-Von Wettberg, Abdullah Kahraman, Abdulkadir Aydogan, Douglas Cook, Sergey Nuzhdin, Maria Samsonova

College of Agriculture and Life Sciences Faculty Publications

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 used to make better use of more shallow data and to extract information from it with higher efficiency. Cultivars of chickpea, Cicer arietanum, are currently being improved by introgressing wild C. reticulatum biodiversity with very different flowering time requirements. More understanding is required for how flowering time will depend on environmental conditions in these cultivars developed by …