Improving Crop Adaptation through Improved Phenology Prediction: A Case Study with Chickpea†
1
Department of Agriculture and Fisheries, Queensland Government, Kingaroy, QLD 4610, Australia
2
Department of Agriculture and Fisheries, Hermitage Research Facility, Hermitage, QLD 4370, Australia
*
Author to whom correspondence should be addressed.
†
Presented at the Third International Tropical Agriculture Conference (TROPAG 2019), Brisbane, Australia, 11–13 November 2019.
Proceedings 2019, 36(1), 119; https://doi.org/10.3390/proceedings2019036119
Published: 6 March 2020
(This article belongs to the Proceedings of The Third International Tropical Agriculture Conference (TROPAG 2019))
Note: In lieu of an abstract, this is an excerpt from the first page.
Flowering time is a key phenological stage which in chickpea has been considered to be mainly driven by photoperiod and temperature. [...]
Keywords:
Cicer arietinum; flowering; photoperiod; soil water; temperature
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Chauhan, Y.; Ryan, M. Improving Crop Adaptation through Improved Phenology Prediction: A Case Study with Chickpea. Proceedings 2019, 36, 119. https://doi.org/10.3390/proceedings2019036119
AMA Style
Chauhan Y, Ryan M. Improving Crop Adaptation through Improved Phenology Prediction: A Case Study with Chickpea. Proceedings. 2019; 36(1):119. https://doi.org/10.3390/proceedings2019036119
Chicago/Turabian StyleChauhan, Yash; Ryan, Merrill. 2019. "Improving Crop Adaptation through Improved Phenology Prediction: A Case Study with Chickpea" Proceedings 36, no. 1: 119. https://doi.org/10.3390/proceedings2019036119
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