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Regression Model for Time to Flowering of Chickpea Landraces

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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.

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ACKNOWLEDGMENTS

The calculations were carried out in the Polytechnic supercomputer center of Peter the Great Polytechnic University.

Funding

The work was supported by the Russian Science Foundation, project no. 16-16-00007.

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Authors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, Mathematical Biology and Bioinformatics Laboratory, IAMM, 195251, St. Petersburg, Russia

    K. N. Kozlov, M. G. Samsonova & S. V. Nuzhdin

  2. University of Southern California, Molecular and Computation Biology Program, 24105, Los Angeles, USA

    S. V. Nuzhdin

Authors
  1. K. N. Kozlov
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  2. M. G. Samsonova
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  3. S. V. Nuzhdin
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Corresponding author

Correspondence to K. N. Kozlov.

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The authors declare that they have no conflict of interest. This article does not contain any studies involving animals or human participants performed by any of the authors.

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Kozlov, K.N., Samsonova, M.G. & Nuzhdin, S.V. Regression Model for Time to Flowering of Chickpea Landraces. Russ J Genet 55, 1046–1049 (2019). https://doi.org/10.1134/S1022795419070093

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  • DOI: https://doi.org/10.1134/S1022795419070093

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