Evaluation of different shallot ecotypes cultivation performance for biodiversity enhancement
DOI:
https://doi.org/10.5281/zenodo.17381595Keywords:
Allium hirtifolium, Bulb, Germination, Isfahan, SeedAbstract
This study evaluates the agronomic performance of different shallot (Allium hirtifolium Boiss.) cultivars to determine their potential in enhancing biodiversity. By assessing key growth parameters and ecological impacts, the research aims to identify which varieties best contribute to ecosystem diversity while maintaining optimal cultivation yields. The results indicated that the average percentage of bulb germination in the ecotypes of Isfahan, Chaharmahal and Bakhtiari, Kurdistan, Lorestan, and Hamadan were 96.7%, 94.8%, 75.3%, 77.3%, and 81.7%, respectively. The average plant height was 35.3, 32, 31, 30.7, and 31.3, respectively. Additionally, the average weight of one thousand seeds in the ecotypes of Isfahan, Chaharmahal and Bakhtiari, Kurdistan, Lorestan, and Hamadan were estimated to be 5.48, 6.5, 6.81, 6.42, and 8.03, respectively. According to the results, the Isfahan ecotype had the highest performance in terms of germination rate, and the Hamadan ecotype had the highest performance based on the average seed production. The results of the variance analysis of the germination treatment indicate a statistically significant difference between the different ecotypes. However, the average plant height and the weight of one thousand seeds treatments were not significant. It is worth mentioning that among the different planting densities of Persian shallots, the average percentage of germination was highest at a density of 10 bulb per square meter. Also, the weight of one thousand seeds performed better at a density of 30 bulb per square meter. It is suggested that, in order to increase biodiversity and optimize the management of rangelands, the cultivation of resistant and low-water-consuming plants such as Persian shallots should be prioritized in the programs of managers and local communities. The findings could provide valuable insights for sustainable agriculture practices that support both crop productivity and environmental conservation.
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