Predicting Seed Germination of Safflower (Carthamus Tinctorius) Cultivars Using Hydrotime Model
Autor: | O. Ansari, S.A. Tabatabae |
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Rok vydání: | 2017 |
Předmět: |
0106 biological sciences
biology Carthamus 04 agricultural and veterinary sciences Herbaceous plant biology.organism_classification 01 natural sciences Crop Horticulture Vegetable oil Distilled water Germination Botany 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Cultivar Annual plant 010606 plant biology & botany |
Zdroj: | Cercetari Agronomice in Moldova. 50:79-87 |
ISSN: | 2067-1865 |
Popis: | Safflower (Carthamus tinctorius) is a highly branched, herbaceous, thistle-like annual plant. It is commercially cultivated for vegetable oil extracted from the seeds, which is cultivated under arid environments. In such environments, the water needed for germination is available for only a short time and, consequently, successful crop establishment depends not only on rapid and uniform germination of the seedlot, but also on its ability to germinate under low water availability. All of these attributes can be analyzed through the hydrotime model (HT). Safflower seeds were germinated in various polyethylene glycol (PEG 600) solutions to obtain water potentials of 0, -0.2, -0.4, -0.6, and -0.8 Mpa. Results indicated that germination of safflower cultivars decreased significantly with reduction of osmotic potential. The highest germination percentage for Sina (93.06 and 94.02%), Faraman (93.52 and 95.33%), Talaei (94.98 and 93.98%) and Kouseh (93.58 and 95.55%) cultivars were attained from distilled water (0 MPa) and -0.2 MPa, respectively. The hydrotime constant (θH) for Sina, Faraman, Talaei and Kouseh cultivars were 0.93, 0.84, 0.78 and 0.72 MPa d, and the water potential (Ψb(50)) for Sina, Faraman, Talaei and Kouseh cultivars were -0.56, -0.67, -0.64 and -0.77 MPa, respectively. Cumulative germination of safflower seed was higher in Kouseh cultivar, than in Sina, Faraman and Talaei cultivars. Results showed that, hydrotime model is suited to predicting seed germination of safflower seeds. In addition, the information gathered with this work allows us to build mathematical models to predict germination of safflower cultivars in the field under various environments. |
Databáze: | OpenAIRE |
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