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Analysis of production projections and factors that correlated with rice production in Indonesia

Introduction: Meeting rice needs is largely determined by the level of domestic rice production. However, the various dynamics that occur provide encouragement to provide an overview of the conditions for meeting food needs, namely in the form of rice, based on trends in rice production and how independent variables correlate with rice production. The aim of this research is to determine the projected rice production for 2023-2032 and determine the strength of the relationship between the dependent variable (rice production) and the independent variables in the form of harvested area, price of harvested dry grain, price of urea fertilizer and price. Methods: namely a quantitative descriptive method with secondary time series data from 1993-2022. Data analysis techniques for forecasting studies are by using Autoregressive Integrated Moving Average (ARIMA) analysis. Meanwhile, in the correlation analysis of rice production using the Pearson correlation. Results: Projections for rice commodity production in Indonesia from 2023 to 2032 using the MA1 model show a positive trend. Analysis of the relationship between the independent variable and the dependent variable, namely harvest area (X1), rice price (X2), urea fertilizer price (X3), and price of other food commodities, namely corn (X4) shows a significant positive relationship with rice production in Indonesia. Conclusion: Projections for rice commodity production in Indonesia from 2023 to 2032, which were analyzed using the MA 1 model, obtained data with a positive trend which states that based on past data, Indonesian rice production will continue to increase every year in line with domestic food needs.

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Residue of biochar-organic fertilizer after one year of use on corn (Zea mays L.) plants in Alfisol

Introduction: Nutrient-poor soil can lead to reduced crop yields. Biochar-organic fertilizer has demonstrated positive effects over several growing seasons. However, the efficacy of biochar-organic fertilizers varies based on the raw materials used and the duration of their application in the soil. This study aims to assess the residues of biochar, manure, and compost one year after their application on maize plants in Alfisol. Methods: A 300 kg/ha dosage was employed for a single treatment of biochar, manure, and compost. Additionally, biochar was combined with manure or compost at a dose of 150 kg/ha each. The experiment utilized a randomized block design with nine treatments and three replications, including a control group. The treatments comprised biochar made from coconut shell and husk, compost, manure, shell+compost biochar mixture, shell+manure biochar mixture, husk+compost biochar mixture, and husk+manure biochar mixture. Corn variety Pertiwi 3 was harvested upon reaching physiological maturity. Results: Combining husk biochar with chicken manure exhibited the most favorable response regarding plant height, leaf area, and weight. Furthermore, combining cob biochar and chicken manure yielded optimal cob length, weight without seeds, and seed weight. Conclusion: After one year, applying shell biochar mixed with manure demonstrated the most significant residual effect on corn plants.

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Genome identification and diversity analysis of banana (Musa spp.) from Jember based on morphological characters

Introduction: Banana plants are easy to find and grow in Indonesia, including in Jember. Banana production in Jember in 2020 increased by 50% and has the potential to be inventoried and developed. Information regarding the characteristics of various banana cultivars is needed for future banana breeding. This research was conducted to identify and classify the genome of bananas growing in Jember and determine the level of banana diversity. Methods: The banana exploration using a purposive sampling method. The observation of 15 morphological characters followed the method of Simmonds and Shepherd. Determination of the genome followed the method of Silayoi & Chamchalow and Singh & Uma. The kinship analysis uses cluster analysis using the average linkage method and Gower distance, by R Studio software. Results: There were 23 banana cultivars obtained in this research, consisting of 35% dessert bananas and 65% plantain types. Genome identification results in four genome groups, namely AA/AAA, AAB, ABB, and BB. Cluster analysis produces three main groups, where its branch is generally consistent with the genome grouping. The closest relationship is between Rayap and Seribu bananas (0.96), while the furthest is between Gaje and Agung bananas (0.38). The dissimilarity value for 23 banana cultivars is 0.36, or the similarity is 0.64. Conclusion: The 23 banana cultivars are closely related or have low diversity based on the 15 morphological characters observed. Further identification can be carried out with a greater number of morphological characters, accompanied by molecular identification.

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Potential of Bacillus spp. Consortium for controlling Meloidogyne spp. and enhancing tomato crop production

Introduction: rhizobacteria Bacillus spp. are microorganisms that reside in plant roots that function as biocontrol agents of plant diseases and increase plant growth and yield. Bacillus spp. consortium is a combination of several Bacillus spp. that synergize and do not inhibit each other. The study aimed to obtain the best Bacillus spp. consortium to control Meloidogyne spp. and increase the growth and yield of tomato plants. Methods: This research is experimental using a completely randomized design consisting of 2 stages, namely 1.) Compatibility test of rhizobakteria consortium Bacillus spp. consists of 6 treatments 4 replicates and 2.) Test consortium rhizobakteria Bacillus spp. selected to control Meloidogyne spp. and increase the yield of tomato plants. The observed variables were the development of root swelling by Meloidogyne spp., and the growth of seedling, vegetative, and generative phases. Results: The results showed that testing all isolates of rhizobacteria Bacillus spp. showed compatibility (compatible). Bacillus spp. rhizobacteria consortium can suppress the development of Meloidogyne spp. and showed different results compared to the control. Bacillus spp. rhizobacteria consortium can increase the growth of tomato seedlings and showed different results compared to the control. Bacillus spp. rhizobacteria consortium can increase the growth of tomato plants in the vegetative phase and showed different results compared to the control. rhizobacteria consortium Bacillus spp. can increase the growth of tomato plants in the vegetative phase and shows different results compared to the control. Conclusion: The best rhizobakteria Bacillus spp. consortium in suppressing the development of Meloidogyne spp. and increasing the growth and yield of tomato plants is Bacillus cereus strain RBI2AB2.2 + Bacillus cereus strain RBIKDA2.2.

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Development strategies for sustainable smallholder coffee plantations in Wagir District, Malang Regency

Introduction: The coffee plantation subsector is one of the most significant subsectors in Wagir District, Malang Regency. Sustainable practices are critical to the success of smallholder coffee crops. This research aims to create a sustainable plan for smallholder coffee crops in Wagir District, Malang Regency. Methods: Twenty farmers and five experts chosen by purposive sampling participated in the study, which was carried out in the Wagir District of Malang Regency. A questionnaire was utilized to interview participants to capture the phenomenon. Data analysis employs a hybrid approach that combines SWOT and AHP. Results: Six strategic priorities are identified by the study findings following the identification of internal and external factors in the SWOT and AHP analyses. Limitations - Second Opportunity (WO2) The most important strategy to be put into practice based on the situation on smallholder coffee plantations in Wagir District is the one with a score of 1.135. Conclusion: To have a more widespread and long-lasting impact, the primary tactic to increase the sustainability of smallholder coffee plantations in Wagir District, Malang Regency, is to work with multi-stakeholders like the local government, academic institutions, and research centers to directly educate the community or serve as resource persons in capacity building for agricultural extension workers.

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The effectiveness of growth regulators and light color spectrum on callus growth of Amorphophallus muelleri Blume. var. Madiun1

Introduction: Plant Growth Regulators (PGRs) play a role in regulating organogenesis and morphogenesis in shoots, roots, and callus formation. Color spectrum of light is one of the quality light factors that affects plant physiological processes. This study aimed to determine the effect of cytokinin and auxin on Murashige-Skoog (MS) medium and light on callus induction and proliferation of porang (Amorphophallus muelleri Blume.) var. Madiun1. Methods: This study used completely randomized design, with the first factor was PGRs (combination auxin and cytokinin) and the second was color spectrum of light (white light, blue light, and its combination) during incubation. Variables observed were emergence time, color, texture, structure and calli growth, also shoots emerging from calli. Results: The results showed an interaction between PGRs with a combination of light color spectrum on callus growth. The fastest callus growth occurred in combination 5.0 mg.l-1 6-benzyl amino purine (BAP) with 0.2 mg.l-1 naphthalene acetic acid (NAA) which was incubated in a combination of white and blue light for 16 hour irradiation. The combination 5.0 mg.l-1 BAP with 0.2 mg.l-1 NAA was able to induce callus emergence time, and the shoots appearing were faster, whereas combination of white and blue light was able to accelerate callus emergence from bulbil and adventitious shoots emergence. Conclusion: The combination of white and blue light color spectrum for 16 hours irradiation can accelerate callus emergence from bulbil and adventitious shoots emerging from calli, and interaction with combination of 5.0 mg.l-1 BAP and 0.2 mg.l-1 NAA can accelerate porang’s callus growth.

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