Enviar artigo por via de e-mail Regression Model for Time to Flowering of Chickpea Landraces
- Autores: Kozlov K.N.1, Samsonova M.G.1, Nuzhdin S.V.1,2
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Afiliações:
- Peter the Great St. Petersburg Polytechnic University, Mathematical Biology and Bioinformatics Laboratory, IAMM
- University of Southern California, Molecular and Computation Biology Program
- Edição: Volume 55, Nº 8 (2019)
- Páginas: 1046-1049
- Seção: 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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Resumo
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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Sobre autores
K. Kozlov
Peter the Great St. Petersburg Polytechnic University, Mathematical Biologyand Bioinformatics Laboratory, IAMM
Autor responsável pela correspondência
Email: kozlov_kn@spbstu.ru
Rússia, St. Petersburg, 195251
M. Samsonova
Peter the Great St. Petersburg Polytechnic University, Mathematical Biologyand Bioinformatics Laboratory, IAMM
Email: kozlov_kn@spbstu.ru
Rússia, 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
Rússia, St. Petersburg, 195251; Los Angeles, 24105
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