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Ikhsan Nendi
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daijjournal@gmail.com
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Jl Pakembaran, Blok Kamarang, Desa Penambangan, Kec. Sedong, Kabupaten Cirebon, Jawa Barat
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INDONESIA
Digital Agriculture and Innovation Journal
Published by Politeknik Siber Cerdika Internasional
ISSN : 31100678     EISSN : 31100678     DOI : doi.org/10.59261/journaldaij
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
The scope of the journal covers a wide range of topics within agriculture and agri–innovation, including but not limited to: Smart farming and precision agriculture Agricultural data science, big data, and artificial intelligence Internet of Things (IoT) and automation in agriculture Agricultural biotechnology and sustainable crop innovation Climate-smart agriculture and environmental sustainability Agricultural economics, rural development, and food security Digital platforms for supply chain and market access Innovations in livestock, aquaculture, and agrotechnology
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Agronomi dan Ilmu Tanaman
Articles 11 Documents
 1   2 
Effects of Urea Fertilizer Levels on Growth and Yield of Safflower (Carthamus tinctorius L.) Under Kabul Climatic Conditions Hanifullah Abid; Abdul Khalil Afghani; Hakmatullah Nimgarri
Digital Agriculture and Innovation Journal Vol. 2 No. 1 (2026): Digital Agriculture and Innovation Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/journaldaij.v2i1.12

Abstract

Safflower (Carthamus tinctorius L.) is an important oil-bearing crop with significant economic and medicinal value, well adapted to arid and semi-arid climates. Despite its agronomic potential, systematic research on optimal nitrogen fertilization for safflower under the specific climatic conditions of Kabul, Afghanistan, remains limited. This study evaluated the effects of six urea levels (0, 40, 60, 80, 100, and 120 kg ha⁻¹) on the growth and yield of safflower using a Randomized Complete Block Design (RCBD) with three replications at the Kabul University research farm during the spring season of 2025. Data were analyzed by analysis of variance (ANOVA), and treatment means were compared using the least significant difference (LSD) test at the 5% probability level. Results demonstrated that urea application significantly influenced plant height, number of leaves, number of branches, days to 50% flowering, number of capitula plant⁻¹, number of seeds capitulum⁻¹, thousand-seed weight (TSW), seed yield, and straw yield. The highest seed yield (1,650 kg ha⁻¹) and TSW (41.50 g) were recorded at T5 (100 kg urea ha⁻¹), whereas the highest straw yield (3,300 kg ha⁻¹) was obtained at T6 (120 kg urea ha⁻¹), albeit with a slight decline in seed yield and TSW. These findings indicate that 100 kg urea ha⁻¹ represents the optimal nitrogen application rate for economically viable safflower production under Kabul conditions.

Page 2 of 2 | Total Record : 11

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