Non-linear regression models for time to flowering in wild chickpea combine genetic and climatic factors.

Kozlov K, Singh A, Berger J, Bishop-von Wettberg E, Kahraman A, Aydogan A, Cook D, Nuzhdin S, Samsonova M

DOI: 10.1186/s12870-019-1685-2
Published: 2019 Mar 19
Container: BMC plant biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s12870-019-1685-2,
  title = {Non-linear regression models for time to flowering in wild chickpea combine genetic and climatic factors.},
  author = {Kozlov K and Singh A and Berger J and Bishop-von Wettberg E and Kahraman A and Aydogan A and Cook D and Nuzhdin S and Samsonova M},
  year = {2019},
  journal = {BMC plant biology},
  doi = {10.1186/s12870-019-1685-2},
  url = {https://doi.org/10.1186/s12870-019-1685-2}
}

RIS

TY  - JOUR
TI  - Non-linear regression models for time to flowering in wild chickpea combine genetic and climatic factors.
AU  - Kozlov K
AU  - Singh A
AU  - Berger J
AU  - Bishop-von Wettberg E
AU  - Kahraman A
AU  - Aydogan A
AU  - Cook D
AU  - Nuzhdin S
AU  - Samsonova M
PY  - 2019
JO  - BMC plant biology
DO  - 10.1186/s12870-019-1685-2
UR  - https://doi.org/10.1186/s12870-019-1685-2
ER  -

APA

K, K., A, S., J, B., E, B. W., A, K., A, A., D, C., S, N., & M, S. (2019). Non-linear regression models for time to flowering in wild chickpea combine genetic and climatic factors.. BMC plant biology. https://doi.org/10.1186/s12870-019-1685-2

Source records

pubmed · retrieved 2026-09-25T21:21:05.718Z