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Determining the most effective traits to improve saffron (Crocus sativus L.) yield

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Determining the most effective traits to improve saffron (Crocus sativus L.) yield

Content Provider	Springer Nature Link
Author	Bayat, Mahdi Rahimi, Mehdi Ramezani, Mehdi
Copyright Year	2016
Abstract	To determine the effective traits to improve saffron yield, a split plot design based on RBCD was done in Mashhad region in Iran for three years (2012–2014). The results showed that all traits except number of daughter corm, fresh weight of daughter corm and dry leaf weight had low general heritability. Results of genotypic and phenotypic coefficients of variation and genetic advance demonstrated that the majority of traits had a low diversity and the selection did not have any effect in improving the traits. As a result, the best way to increase saffron yield is improvement of farm management. It was also found that saffron yield had the highest phenotypic and genotypic correlations with fresh and dry weight of daughter corm and dry and fresh flower weight. Therefore, the efforts to improve these traits will increase saffron yield. According to the present study 5-Jun to 5-Jul was found to be the best sowing date for planting saffron. Also, the Mashhad and Torbat ecotypes were the best ecotypes in this study. Phenotypic and genotypic path analysis showed that in the first step three traits number of daughter corm, fresh flower weight and flower number and in the second step traits fresh weight of daughter corm, dry flower weight and dry leaf weight interred to the regression model and had the highest positive direct and indirect effects on saffron yield. Mainly, it can be derived that the implementation of correct farm management including appropriate sowing date, saffron ecotypes, proper density, bigger and higher quality saffron corm can play an important role in improving yield components and subsequently increasing saffron yield.
Starting Page	153
Ending Page	161
Page Count	9
File Format	PDF
ISSN	09715894
Journal	Physiology and Molecular Biology of Plants
Volume Number	22
Issue Number	1
e-ISSN	09740430
Language	English
Publisher	Springer India
Publisher Date	2016-03-21
Publisher Place	New Delhi
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cluster analysis Genetic advance Heritability Phenotypic and genotypic path analysis Plant Sciences Plant Physiology Biophysics and Biological Physics Cell Biology
Content Type	Text
Resource Type	Article
Subject	Physiology Plant Science Molecular Biology

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