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Biomass partitioning during the life cycle of saffron (Crocus sativus L.) using regression models

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An Erratum to this article was published on 28 June 2016

Abstract

In this study saffron biomass partitioning was investigated in the research station of the Saffron Research Group, University of Birjand, Iran during 2009 - 2010. Plant sampling was done 25 times during the crop growth cycle. In each sampling date, the amounts of corm dry weight, root dry weight, root length, leaf dry weight, leaf area, bud number, bud dry weight (nodes on the surface of the corm), and flower weight were measured. Finally, different regression models were tested for predicting biomass partitioning in saffron. The cubic polynomial model was found to be the best for predicting biomass changes in most saffron organs (R 2 = ~74%). Total corm dry weight showed a decreasing trend up to the 120th day of plant growth and then increased until the end of the life cycle (mid-May). However, different trends were observed for root and leaf dry weights. Root and leaf dry weight increased up to the 120th and 150th day of the plant growth cycle, respectively, followed then by decreasing trends. Therefore, in the early growing season, leaves and root systems were developed using mother corms reservoirs, but at the end of the growth cycle replacement corms were grown by translocation of reservoirs from other saffron organs. In addition, the number and dry weight of buds had increasing trends during 160 days of measurement from the beginning of the growing season. The total length of roots and leaf area increased up to the middle of the growth cycle (Feb. 10) and then decreased. Moreover, saffron flower yield showed a rapid increasing trend in the first phase of the flowering period and then declined with a slower trend during the second flowering phase.

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Correspondence to Hamid-Reza Fallahi.

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Behdani, M.A., Al-Ahmadi, M.J. & Fallahi, HR. Biomass partitioning during the life cycle of saffron (Crocus sativus L.) using regression models. J. Crop Sci. Biotechnol. 19, 71–76 (2016). https://doi.org/10.1007/s12892-015-0082-0

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  • DOI: https://doi.org/10.1007/s12892-015-0082-0

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