Отправить статью по E-mail Regression Model for Time to Flowering of Chickpea Landraces
- Авторы: Kozlov K.N.1, Samsonova M.G.1, Nuzhdin S.V.1,2
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Учреждения:
- Peter the Great St. Petersburg Polytechnic University, Mathematical Biology and Bioinformatics Laboratory, IAMM
- University of Southern California, Molecular and Computation Biology Program
- Выпуск: Том 55, № 8 (2019)
- Страницы: 1046-1049
- Раздел: 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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Аннотация
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.
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K. Kozlov
Peter the Great St. Petersburg Polytechnic University, Mathematical Biologyand Bioinformatics Laboratory, IAMM
Автор, ответственный за переписку.
Email: kozlov_kn@spbstu.ru
Россия, St. Petersburg, 195251
M. Samsonova
Peter the Great St. Petersburg Polytechnic University, Mathematical Biologyand Bioinformatics Laboratory, IAMM
Email: kozlov_kn@spbstu.ru
Россия, St. Petersburg, 195251
S. 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
Россия, St. Petersburg, 195251; Los Angeles, 24105
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