Email this article Regression Model for Time to Flowering of Chickpea Landraces
- Authors: Kozlov K.N.1, Samsonova M.G.1, Nuzhdin S.V.1,2
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Affiliations:
- Peter the Great St. Petersburg Polytechnic University, Mathematical Biology and Bioinformatics Laboratory, IAMM
- University of Southern California, Molecular and Computation Biology Program
- Issue: Vol 55, No 8 (2019)
- Pages: 1046-1049
- Section: Short Communications
- URL: https://journals.rcsi.science/1022-7954/article/view/189523
- DOI: https://doi.org/10.1134/S1022795419070093
- ID: 189523
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Abstract
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.
About the authors
K. N. Kozlov
Peter the Great St. Petersburg Polytechnic University, Mathematical Biologyand Bioinformatics Laboratory, IAMM
Author for correspondence.
Email: kozlov_kn@spbstu.ru
Russian Federation, St. Petersburg, 195251
M. G. Samsonova
Peter the Great St. Petersburg Polytechnic University, Mathematical Biologyand Bioinformatics Laboratory, IAMM
Email: kozlov_kn@spbstu.ru
Russian Federation, St. Petersburg, 195251
S. V. Nuzhdin
Peter the Great St. Petersburg Polytechnic University, Mathematical Biologyand Bioinformatics Laboratory, IAMM; University of Southern California, Molecular and Computation Biology Program
Email: kozlov_kn@spbstu.ru
Russian Federation, St. Petersburg, 195251; Los Angeles, 24105
