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Abstract. Harsono A, Elisabeth DAA, Muzaiyanah S, Rianto SA. 2020. Soybean-maize intercropping feasibility under drought-prone area in East Java, Indonesia. Biodiversitas 21: 3744-3754. The study aimed to determine the land productivity, economic feasibility, and soybean cultivar which is suitable for intercropped with maize in maize production center on dryland-upland in East Java, Indonesia. The study was conducted in Semanding and Merakurak Sub-districts, Tuban District, East Java, Indonesia at the end of rainy season (March-July 2019). The study used a factorial randomized block design with three replications. The first factor was planting patterns, namely: soybean intercropping with maize, maize monoculture, and soybean monoculture. The second factor was soybean cultivars, namely: Argomulyo, Dena 1, and Dega 1. The maize variety used was NK Hybrid 212. The result of study indicated that by intercropping and selecting appropriate cultivar, soybean could be developed on dryland-upland area. Soybean intercropping with plant spacing of 30 cm x 15 cm and two seeds per-hill and maize in double row with plant spacing of (40 x 20) cm x 200 cm and one seed per-hill was able to produce maize seeds yield as high as maize increase LER by 1.69, and increase farming income. Dena 1 intercropping with maize was able to provide higher benefit, economic feasibility, and land-use efficiency than Argomulyo and Dega 1, even though Dega 1 had the strongest competitiveness, and Argomulyo had the higher soybean yield.
Abstract. Harsono A, Elisabeth DAA, Muzaiyanah S, Rianto SA. 2020. Soybean-maize intercropping feasibility under drought-prone area in East Java, Indonesia. Biodiversitas 21: 3744-3754. The study aimed to determine the land productivity, economic feasibility, and soybean cultivar which is suitable for intercropped with maize in maize production center on dryland-upland in East Java, Indonesia. The study was conducted in Semanding and Merakurak Sub-districts, Tuban District, East Java, Indonesia at the end of rainy season (March-July 2019). The study used a factorial randomized block design with three replications. The first factor was planting patterns, namely: soybean intercropping with maize, maize monoculture, and soybean monoculture. The second factor was soybean cultivars, namely: Argomulyo, Dena 1, and Dega 1. The maize variety used was NK Hybrid 212. The result of study indicated that by intercropping and selecting appropriate cultivar, soybean could be developed on dryland-upland area. Soybean intercropping with plant spacing of 30 cm x 15 cm and two seeds per-hill and maize in double row with plant spacing of (40 x 20) cm x 200 cm and one seed per-hill was able to produce maize seeds yield as high as maize increase LER by 1.69, and increase farming income. Dena 1 intercropping with maize was able to provide higher benefit, economic feasibility, and land-use efficiency than Argomulyo and Dega 1, even though Dega 1 had the strongest competitiveness, and Argomulyo had the higher soybean yield.
Integrated Crop Management-Farmer Field School Program (ICM-FFS) was one of the Indonesian government's programs, which had been recognized to increase rice production. The successful implementation of ICM-FFS can be attributed toits impact on economic (production, productivity, and income) and social (increased adoption of rice technology, capacity and skills of farmers) aspects. This research assessed ICM-FFS implementation in swampy lands from the economic aspect. The assessment was conducted in 2012 in two swampy land areas, Riau and West Kalimantan Province. The total respondents for both areas were 159 farmers consisting of ICM-FFS participants and nonparticipants. Individual interviews using structured questionnaire was the main method in gathering primary data. The decomposition model was used to analyse data including farmers' income, production, and productivity. Productivity decomposition analysis results indicated that the program was only able to increase the productivity of paddy rice in swampy land by approximately 2.73 percent compared to technological farmers. The result of this conjecture was much lower than the result of a survey that reached 20 percent. The total increase was contributed more by the farmers who adopted the technology differences than the differences in the use of production inputs. Technological differences were manifested in the form of differences in the value of the intercept and slope, which were able to contribute as much as 88.28 percent of the total increase in productivity, while the remaining 11.72 percent was derived from differences in the use of production inputs.
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