Sorghum is a crop that has the potential to be developed in Indonesia. So far, sorghum is more widely grown in the lowlands, while the need for sorghum as food, animal feed and planting seeds is also needed in the highlands. The availability of agricultural land in the highlands encourages sorghum planting to be superimposed on chickpeas. This study aims to 1) determine the growth and productivity of sorghum from intercropping plantations of sorghum – upright beans and intercropping sorghum-vine beans compared to monocultures; 2) to know the land equity ratio (LER) of chickpea-sorghum intercropping crops. This research was carried out at the Vegetable Seed Production Unit (UPBS), Sekincau Village, West Lampung Regency, the research was carried out in April-September 2021. The research was conducted using a quantitative method by directly measuring the growth and production of sorghum which was arranged in a randomized complete block design (RCBD) of six groups as a test with 3 treatments. Treatments include sorghum monoculture; intercropping sorghum - upright beans; Interscopal sorghum - chickpeas. The results showed that the growth and productivity of sorghum in the intercropping system was lower than that of monoculture, but the yield decline in the intercropping of upright sorghum-chickpeas was lower than in intercropping sorghum-sprawling chickpeas. Intercropping of upright sorghum and vine-bean sorghum has a land equity ratio (LER) value of > 1 to produce sorghum seeds, sorghum forage, and fresh chickpea pods, except for LER sorghum seeds and chickpea seeds. Intercropping planting of upright sorghum-beans is more effective than intercropping sorghum-vines. The benefit of this study is to increase the efficiency of limited agricultural land use.
The demand for palm oil commodities from Indonesia increases every year, making it very influential on the international market. Despite its very significant contribution to the national economy, oil palm plantations face complex challenges, such as issues of land degradation, destruction of biodiversity, deforestation, and several other environmental issues. Inaccurate oil palm maintenance data which still relies on traditional methods based on historical data and field observations often requires a lot of time and costs, especially due to changes in climate conditions and pest and disease attacks. This research aims to produce a map of palm oil health conditions that can be used for more efficient production management by optimizing quality and quantity. This research was carried out in May-December 2025 in Sambas district spread across 10 sub-districts (Sambas, Sejangkung, Sebawi, Semparuk, Selakau, Subah, Tebas, Sajad, Galing, and Sajingan) using field observation methods and analyzing satellite image data and geographic information systems integrated with soil laboratory analysis data (content of essential nutrients in the soil). The satellite image data used is image data recorded by Landsat 8 OLI in 2025 which was processed using Quantum GIS software, the Indonesian Earth Map (RBI), and the land use map of Sambas district. The research results showed that there were variations in soil nutrient content concentrations and NDVI values which correlated with the health level of oil palm plants with an average range of 0.0202 – 0.4351 (high health level).
The objective of this study was to determine the distribution pattern of dry matter from leaves to tubers in 10 cassava clones in two different land conditions (optimal and marginal). The experiment was arranged in a factorial randomized completely block design (RCBD) (2x10), with three replications, resulting in 60 experimental units. The variables observed included plant height, stem diameter, number of green leaves, fresh and dry weight of leaves, stems, and tubers. The results of the study indicate that differences in soil conditions and clones influence the distribution pattern of dry matter in cassava plants. The Garuda, UJ3, Sekoci, Soponyono, D9, and Vamas-1 clones exhibited relatively good growth and yield under both soil conditions, while Cino and Waxy performed better on optimal soil, and UJ5 showed good tuber formation only during the early growth stage. The most efficient dry matter distribution was shown by the Garuda and UJ3 clones, which produced the highest tuber weight at 10 months after planting (MAP), followed by Sekoci, Soponyono, D9, and Vamas-1, which were also able to accumulate high amounts of tuber dry matter. Conversely, the KM clone exhibited the lowest dry matter distribution, characterized by the lowest fresh and dry tuber weights under both soil conditions.
Limited planting land leads to the use of double-cropping systems for food crop production. This experiment aims to determine the yield and initial vigor of soybean seeds harvested from double planting of cassava-soybean with different cassava planting intensities. This experiment was conducted at the Vegetable Seed Management Unit, Sekincau Village, and the Seed and Plant Breeding Laboratory, Faculty of Agriculture, University of Lampung, from June 2022 to February 2023. Soybean variety Dega-1 and cassava clone Ketan were planted singly and double-planted with 4 compositions, namely 1) single soybean planting (p₁), and 2) double cassava-soybean planting with soybean planting intensities of 67% and cassava planting intensities of a) 67% (p₂), b) 78% (p₃), and 89% (p₄). Each treatment level was replicated five times in five blocks. Analysis of data variance using Minitab Ver. 17 and comparison of the mean values of treatments with Duncan's Multiple Range Test (DMRT) using Excel 2013. The intensity of cassava plants in double cropping with soybeans did not reduce soybean yield per plant or initial seed vigor, but reduced soybean seed yield per plot and increased the land equivalence value from 1.00 to 1.29-1.37.
Sweet corn (Zea mays var. saccharata Sturt.) is a horticultural commodity with high economic value; however, its productivity is often constrained by low nitrogen fertilization efficiency. Excessive use of inorganic nitrogen fertilizers increases production costs and poses environmental risks. This study aimed to evaluate the effect of Gluconacetobacter diazotrophicus (GDB) application on improving nitrogen fertilization efficiency and harvest quality of sweet corn, as well as to determine the most efficient nitrogen dosage. The research was conducted at PT Pandawa Agri Indonesia from May to August 2025 using a Randomized Block Desig with 10 treatment combinations of nitrogen fertilizer rates and GDB application, replicated three times. The observed parameters included cop length, cop diameter, cop weight with and without husk, and biomass weight. Data were analyzed using analysis of variance followed by Duncan’s Multiple Range Test at a 95% confidence level. The results showed that GDB application significantly improved nitrogen use efficiency. The combination of 75% nitrogen fertilizer with GDB produced harvest quality comparable to full nitrogen fertilization, indicating the potential of GDB to support more efficient and sustainable sweet corn cultivation. Key words: Diazotrophicus, Efficienc, Gluconacetobacter Sweet Corn, Nitrogen, Fertilization
