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All Journal Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Planta Simbiosa : Jurnal Tanaman Pangan dan Hortikultura
Juwita Suri Maharani
Politeknik Negeri Lampung
Agriculture, Biological Sciences & Forestry Engineering Immunology & microbiology

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Aplikasi Trichoderma sp. dan pupuk NPK terhadap pertumbuhan dan hasil tanaman kedelai (Glycine max L.) varietas Grobogan Yuriansyah Yuriansyah; Denny Sudrajat; Zainal Mutaqin; Evi Yunita Sari; Juwita Suri Maharani
Planta Simbiosa Vol 5 No 1 (2023)
Publisher : Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/jplantasimbiosa.v5i1.2982

Abstract

Soybean imports in Indonesia show that national soybean production is still low and efforts are needed to increase production. One way to increase edamame production is the application of Trichoderma sp. and NPK fertilizers. The purpose of this study is to determine the effect of the application dose of Trichoderma sp. and NPK fertilizers and their combinations on the growth and yield of soybean plants. This study used a factorial Randomized Block Design (RBD) consisting of two factors, namely Trichoderma sp and doses of NPK fertilizer, repeated 3 times so that there were 30 experimental units. The treatment consisted of: factors (a) Trichoderma sp. dose: a0= 0 g/plant; a1= 5 g/plant; a2= 10 g/plant; a3= 15 g/plant; and a4 = 20 g/plant. Factor (b) NPK fertilizer dosage from 2 levels, namely: b1 = 250 kg/ha and b2 = 300 kg/ha. The results of this study are: (1) administration of Trichoderma sp. independently affects the growth observation variable in the vegetative phase of the plant, but does not significantly affect production; (2) NPK fertilizer independently affects plant growth in the vegetative phase and production yields; (3) combination treatment of Trichoderma sp. 15 g/plant and 250 kg/ha of NPK fertilizer gave the highest seed weight per plant, namely 30.95 g; and (4) there is an interaction effect between the Trichoderma sp. treatments. and NPK fertilizer on seed weight per plant.
Heat Unit–Based Prediction of Harvest Age in Rice under Different Planting Spacings and Genotypes Yohana Kathryn Siahaan; Dulbari Dulbari; Juwita Suri Maharani; Moh Haris Imron S Jaya
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 3 (2026): June 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i3.963-979

Abstract

Heat unit (HU) is widely used to describe crop thermal requirements; however, its application for determining rice harvest age across different planting spacings and genotypes remains limited. This study aimed to evaluate the effects of plant spacing and genotype on HU accumulation and to assess the usefulness of HU as a predictor of harvest age and yield-related traits in rice. The experiment was conducted in a greenhouse using a factorial randomized complete block design with three planting spacings (Jarwo 2:1, Tegel 25 cm × 25 cm, and transplanter-based spacing 35 cm × 15 cm) and four rice genotypes (PTP 01, Inpari 24, Jeliteng, and Pandan Wangi). Results showed that HU accumulation during the vegetative phase was uniform across all treatments, reaching approximately 776 °C⸳day, indicating a common thermal threshold for early growth. In contrast, significant differences emerged during the generative phase and at harvest. Plant spacing significantly affected HU accumulation and harvest timing, whereas genotype did not alter total HU requirement but strongly influenced yield expression. The Jarwo 2:1 system required the lowest total HU to reach physiological maturity (~1134 °C⸳day), followed by Tegel 25×25 cm (~1146 °C⸳day) and transplanter spacing (~1159 °C⸳day). Inpari 24 consistently exhibited superior plant height, grain filling, and grain weight per panicle, indicating higher efficiency in converting accumulated HU into yield. Heat unit–based thresholds provide a reliable tool for predicting rice harvest age and optimizing genotype–spacing combinations.
Co-Authors Denny Sudrajat Dulbari, Dulbari Evi Yunita Sari Moh Haris Imron S Jaya Yohana Kathryn Siahaan Yuriansyah Yuriansyah Zainal Mutaqin