Soybean is the third important food crop in Indonesia after rice and maize, particularly as a good source of protein. The demand for soybean consumption tends to increase annually. In 2020, the figure was about 3.28 million tons, while the domestic production was 0.63 million tons, thus around 81% of the soybean needed was imported. Efforts to increase the domestic soybean production have been conducted since the last decade, which is concerned with increasing the current productivity (1.5 t/ha) through introducing the high-yielding improved varieties and extending the harvested area, particularly to outside of Java. The potential planting area is focused on the irrigated lowland after rice (optimal land) and suboptimal lands (dry, acid, tidal, and shaded lands). The series of the study showed that the yield potential of soybean grown in such lands varied from 1.8 t/ha to 3.0 t/ha. A number of soybeans improved varieties adapted to different land types or agro-ecological conditions also have been released and supported with advanced cultivation technology. The results, challenges, and opportunities to achieve soybean self-sufficiency are discussed in this paper.
This research was conducted to determine the financial feasibility of growing soybean varieties and their competitiveness in the rice-based cropping system of Indonesia. The research was conducted at two locations in 2020. The results showed that the use of improved varieties of soybean yielded 2.24 t/ha and 2.09 t/ha, which was higher than using local (non-improved) varieties. The use of improved varieties was financially feasible with Revenue Cost (R/C) ratios of 1.88–1.98 and Benefit Cost (B/C) ratios of 0.88–0.98. The competitiveness of soybeans in Mojokerto and Pasuruan was lower compared to maize and mungbean. Soybean could compete with competing crops if the productivity and price were higher than the current conditions. To be able to compete with maize, the soybean productivity should be 5.14–5.22 t/ha if the current soybean price per kg is IDR 7200 (about US $ 0.51). To compete with mungbean, the soybean productivity should reach 3.05 t/ha with the current price per kg of IDR 7200 (about US $ 0.51). When measured by the price level, to be able to compete with maize, the soybean selling price per kg should be IDR 14,428–IDR 14,893 (about USD 1.06) with a productivity level of 2.24 t/ha.
<p class="teks">Tumpangsari (TS) kedelai dengan padi gogo atau jagung merupakan salah satu strategi meningkatkan luas panen dan produksi kedelai. Penelitian ini bertujuan untuk menentukan model tanam TS padi gogo (pg)+ kedelai (kd) dan TS jagung (jg)+ kedelai (kd) yang optimal. Penelitian dilaksanakan di IP2TP Kendalpayak mulai Oktober 2018 hingga Januari 2019. Perlakuan terdiri atas kombinasi empat model tanam dengan dua varietas kedelai (Dega 1 dan Dena 1) termasuk pemupukannya pada TS pg+kd dan TS jg+kd. Varietas padi gogo dan jagung berturut-turut Inpago 10 dan Bima 19. Model tanam (M) pada TS pg+kd terdiri atas: M1: 75% pg + 91% kd tanpa pupuk, M2: 37% pg + 91% kd tanpa pupuk, M3: 37% pg + 152% kd dipupuk 23-36-30 kg/ha N, P, K + 1 t/ha pupuk kandang (pukan), dan M4: 18% pg+72% kd dipupuk 23-36-30 kg/ha N, P, K + 1 t/ha pukan. Padi gogo ditanam bersamaan dengan kedelai, dengan dosis pemupukan 144,5-52,5-52,5 kg/ha N, P, K + 1 t/ha pukan. Model tanam pada TS jg+kd terdiri atas: M1: 150% jg ditanam 3 minggu setelah kedelai + 114% kd dipupuk 38-15-15 kg/ha N, P, K, M2: 150% jg + 114% kd dipupuk 107-15-15 kg/ha N, P, K + 2,5 t/ha pukan, M3: 150% jg + 227% kd dipupuk seperti pada M2, dan M4: 52% jg + 70% kd dipupuk 23-36-36 kg/ha N, P, K + 1 t/ha pukan. Dosis pemupukan jagung 167,5-52,5-52,5 kg/ha N, P, K + 1 t/ha pukan. Hasil penelitian menunjukkan bahwa model tanam optimal pada TS padi gogo + kedelai adalah Model 1 dan Model 2 menggunakan kedelai varietas Dega 1, dengan keuntungan masing-masing Rp9.086.500 dan Rp8.896.500/ha. Model yang optimal pada TS jagung + kedelai adalah Model 1 menggunakan kedelai varietas Dega 1 dengan keuntungan Rp20.121.400/ha. Masing-masing model tanam tersebut mempunyai keunggulan dalam hal produktivitas dan perolehan keuntungan dibandingkan model lainnya yang diuji. Oleh karena itu, pada TS padi gogo + kedelai dengan Model 1 atau Model 2 atau pada TS jagung + kedelai dengan Model 1 lebih dianjurkan menggunakan kedelai varietas Dega 1 dibandingkan Dena 1.<br /><br /></p>
The main constraints of the tidal swamp lands in Indonesia for soybean growth are low soil pH, high Al saturation, and low nutrient availability of N, P, K, Ca, and Mg. The objectives of this research were to determine tolerance of several soybean varieties to Al saturation level, and to obtain a technological package for soybean cultivation which was suitable for farmers to adopt on tidal swamp lands. The research consisted of two stages of study. The first stage formulated of technology package, and the second stage evaluated feasibility of the technology package which was formulation from the first stage. The first stage studied the effect of dolomite application (20% - 30% of soil Al saturation) on four soybean varieties (Anjasmoro, Panderman, Dega 1, and Demas). The second stage studied the effect of three technological packages: existing technology; water- saturated soybean cultivation (WSC); and alternative technology which was formulated from the results of the first study. In the 30% of soil Al saturation condition, the alternative technology package (application of 50 kg urea + 75 kg SP36 + 50 kg KCl + 1500 kg organic fertilizers/ha + rhizobium biofertilizer “Agriosy” 0.25 kg/50 g seeds/ha) gave soybean yield of 1.78 - 2.72 t/ha for all of soybean varieties tested. The alternative technology package with Anjasmoro variety provided higher seed yields (2.62 t/ha) compared to the existing technology (2.07 t/ha) and WSC technology package (2.44 t/ha). The alternative technology package gave a profit of 11,595,000 IRD/ha with B/C values of 1.71 which was higer than the existing and WSC technology packages. The alternative technology package was more profitable than the existing technology (current farmer practice) and water-saturated soybean cultivation technology packages.
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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.