Regression Model for Time to Flowering of Chickpea Landraces


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Regression models for time to flowering had been developed for VIR chickpea landraces collected in Turkey and Ethiopia. Predicted flowering time coincides closely with experimental data. The difference between models is statistically significant. The impact of the temperature to the model for Ethiopia landraces is weaker than that for Turkey landraces, 48 and 60% respectively. The impact of precipitation on phenotype is more than 80%. The obtained results are in agreement with climate characteristics at collection sites.

作者简介

K. Kozlov

Peter the Great St. Petersburg Polytechnic University, Mathematical Biology
and Bioinformatics Laboratory, IAMM

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Email: kozlov_kn@spbstu.ru
俄罗斯联邦, St. Petersburg, 195251

M. Samsonova

Peter the Great St. Petersburg Polytechnic University, Mathematical Biology
and Bioinformatics Laboratory, IAMM

Email: kozlov_kn@spbstu.ru
俄罗斯联邦, St. Petersburg, 195251

S. Nuzhdin

Peter the Great St. Petersburg Polytechnic University, Mathematical Biology
and Bioinformatics Laboratory, IAMM; University of Southern California, Molecular and Computation Biology Program

Email: kozlov_kn@spbstu.ru
俄罗斯联邦, St. Petersburg, 195251; Los Angeles, 24105


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