Fire and its associated impact highly affect peatland, particularly the peat properties, the plant cultivated above it, and its surrounding environment. Despite much research focused on fire monitoring or susceptibility assessments, peat consumption during fire occurrence, emissions from burned peat, and rehabilitation or restoration of burned peat, little attention is given to studying the changes of peat bio-physicochemical after burning. This small-scale study aims to examine the fire’ effect on the upper 30 cm of peat’s bio-physicochemical properties two months after being burned, using unburned peat as a reference. The result of this study indicated that fire-affected peat at all of our sampling depths. The impacted changes on peat chemical variables were varied. This study also found that sampling methods, fire magnitude and severity, peat physicochemical properties, laboratory determination, and statistical analyses were paramount in examining the fire effect on peat properties. This study also promotes the combination approach that represents both local and global phenomena to analyze and interpret the change of burned peat properties from its initial unburned state. More efforts are required to verify the initial results reported in this study and to gain in-depth information concerning the intricate relationships of organic materials, climate, hydrology, and vegetation across spatial and temporal scales in cultivated tropical peat as affected by fire events.
{"title":"Evaluating the Effect of Fire on Cultivated Tropical Peat Properties: Lessons Learned from Observation in East Kutai Peatlands","authors":"Heru Bagus Pulunggono, Moh Zulfajrin, Nabilah Hanifah, Lina Lathifah Nurazizah","doi":"10.52045/jca.v3i1.351","DOIUrl":"https://doi.org/10.52045/jca.v3i1.351","url":null,"abstract":"Fire and its associated impact highly affect peatland, particularly the peat properties, the plant cultivated above it, and its surrounding environment. Despite much research focused on fire monitoring or susceptibility assessments, peat consumption during fire occurrence, emissions from burned peat, and rehabilitation or restoration of burned peat, little attention is given to studying the changes of peat bio-physicochemical after burning. This small-scale study aims to examine the fire’ effect on the upper 30 cm of peat’s bio-physicochemical properties two months after being burned, using unburned peat as a reference. The result of this study indicated that fire-affected peat at all of our sampling depths. The impacted changes on peat chemical variables were varied. This study also found that sampling methods, fire magnitude and severity, peat physicochemical properties, laboratory determination, and statistical analyses were paramount in examining the fire effect on peat properties. This study also promotes the combination approach that represents both local and global phenomena to analyze and interpret the change of burned peat properties from its initial unburned state. More efforts are required to verify the initial results reported in this study and to gain in-depth information concerning the intricate relationships of organic materials, climate, hydrology, and vegetation across spatial and temporal scales in cultivated tropical peat as affected by fire events.","PeriodicalId":9663,"journal":{"name":"CELEBES Agricultural","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91158510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mangroves that live in ecotone areas have a fairly significant role in the economy and ecology. This strategic role requires spatial data to facilitate the management and development of mangrove areas. The mangrove mapping process usually uses a manual method, namely through software, and has shortcomings and limitations in image management that require massive data storage. Cloud computing-based Google Earth Engine (GEE) mapping platform can manage images with an extensive scope and spatiotemporal data processing. However, this platform requires index formulas or combinations to help classify and increase accuracy in mapping the earth’s surface. The innovation with the combined VWB-IC (Vegetation-Water-Built-up Index Combined) formula is projected to classify the characteristics of mangrove areas in Jakarta Bay. The combination consists of three types of indices, namely vegetation index (NDVI, GNDVI, ARVI, EVI, SLAVI, and SAVI), water (NDWI, MNDWI, and LSWI), and buildings (IBI and NDBI). This combination is used to translate the classification of mangroves using the Random Forest (RF) machine learning algorithm method with the Sentinel-2 MSI (Multispectral Instrument) satellite image source and through the GEE platform. This platform generates raster data for land use classification (including mangroves), and then the analysis is continued using ArcMap software. The obtained mangrove area is 220.43 ha, located in Jakarta Bay and divided into the Angke Kapuk Nature Tourism Park and the Pantai Indah Kapuk Mangrove Ecotourism Area. The data from this research is expected to provide a recommendation for a combination index formula for mapping mangrove areas in urban areas. The spatial distribution area can be used as an evaluation material in mangrove areas in Jakarta Bay
{"title":"Vegetation-Water-Built Up Index Combined: Algorithm Indices Combination for Characterization and distribution of Mangrove Forest through Google Earth Engine","authors":"A. D. Rahmawati","doi":"10.52045/jca.v3i1.298","DOIUrl":"https://doi.org/10.52045/jca.v3i1.298","url":null,"abstract":"Mangroves that live in ecotone areas have a fairly significant role in the economy and ecology. This strategic role requires spatial data to facilitate the management and development of mangrove areas. The mangrove mapping process usually uses a manual method, namely through software, and has shortcomings and limitations in image management that require massive data storage. Cloud computing-based Google Earth Engine (GEE) mapping platform can manage images with an extensive scope and spatiotemporal data processing. However, this platform requires index formulas or combinations to help classify and increase accuracy in mapping the earth’s surface. The innovation with the combined VWB-IC (Vegetation-Water-Built-up Index Combined) formula is projected to classify the characteristics of mangrove areas in Jakarta Bay. The combination consists of three types of indices, namely vegetation index (NDVI, GNDVI, ARVI, EVI, SLAVI, and SAVI), water (NDWI, MNDWI, and LSWI), and buildings (IBI and NDBI). This combination is used to translate the classification of mangroves using the Random Forest (RF) machine learning algorithm method with the Sentinel-2 MSI (Multispectral Instrument) satellite image source and through the GEE platform. This platform generates raster data for land use classification (including mangroves), and then the analysis is continued using ArcMap software. The obtained mangrove area is 220.43 ha, located in Jakarta Bay and divided into the Angke Kapuk Nature Tourism Park and the Pantai Indah Kapuk Mangrove Ecotourism Area. The data from this research is expected to provide a recommendation for a combination index formula for mapping mangrove areas in urban areas. The spatial distribution area can be used as an evaluation material in mangrove areas in Jakarta Bay","PeriodicalId":9663,"journal":{"name":"CELEBES Agricultural","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86736821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
One of the factors that influence the production of oil palm plantations is the condition of the land favorable for their growth and development, especially regarding the physical and chemical properties of the soil and the status of soil fertility. The purpose of this study was to determine soil’s physical and chemical properties, as well as its fertility status on smallholder oil palm plantations. Soil sampling was conducted through a descriptive exploratory survey method, involving six sampling points and representing three oil palm ages (11, 16, and 22 years old). The soil chemical and fertility status were analyzed using the National Criteria of Soil Chemical Properties developed by Soil Research Institute and Five Major Soil Chemical Properties approach developed by Soil Research Center. All observed soil exhibited clay textures and varying soil color matrix. The soil had neutral acidity, medium to high base saturation/BS and cation exchange capacity/CEC, moderate P2O5, as well as low organic C and K2O. Soil fertility status on the entire sites were classified as low, which primarily caused by low soil organic C and K contents. In order to improve soil condition favorably for oil palm growth and development, further studies must be conducted using more direct approach, relating the oil palm requirement with current state of soil and land conditions.
{"title":"Analysis of Soil Fertility in Oil Palm Plantation (Elaeis guineensis Jacq) Smallholder Farmers in East Luwuk District, Banggai Regency","authors":"Jen Achen Amu, Herwin Yatim, I. Tatu, H. Katili","doi":"10.52045/jca.v3i1.277","DOIUrl":"https://doi.org/10.52045/jca.v3i1.277","url":null,"abstract":"One of the factors that influence the production of oil palm plantations is the condition of the land favorable for their growth and development, especially regarding the physical and chemical properties of the soil and the status of soil fertility. The purpose of this study was to determine soil’s physical and chemical properties, as well as its fertility status on smallholder oil palm plantations. Soil sampling was conducted through a descriptive exploratory survey method, involving six sampling points and representing three oil palm ages (11, 16, and 22 years old). The soil chemical and fertility status were analyzed using the National Criteria of Soil Chemical Properties developed by Soil Research Institute and Five Major Soil Chemical Properties approach developed by Soil Research Center. All observed soil exhibited clay textures and varying soil color matrix. The soil had neutral acidity, medium to high base saturation/BS and cation exchange capacity/CEC, moderate P2O5, as well as low organic C and K2O. Soil fertility status on the entire sites were classified as low, which primarily caused by low soil organic C and K contents. In order to improve soil condition favorably for oil palm growth and development, further studies must be conducted using more direct approach, relating the oil palm requirement with current state of soil and land conditions.","PeriodicalId":9663,"journal":{"name":"CELEBES Agricultural","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86791799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Heru Bagus Pulunggono, Yusuf Azmi Madani Madani, Moh Zulfajrin, Y. Yusrizal
The capability of machine learning/ML algorithms to analyze the effect of human and environmental factors and variables in controlling soil nutrients has been profoundly studied over the last decades. Unfortunately, ML utilization to estimate macronutrients and their governing factors in cultivated tropical peat soil are extremely scarce. In this study, we trained regression tree/RT, ML-based pedotransfer models to predict total N, P, and K in peat soils based on oil palm/OP and OP+bush datasets. Our results indicated that the dataset might contain outliers, non-linear relationships, and heteroscedasticity, allowing RT-based models to perform better compared to multiple linear regression/MLR models (as a benchmark) in estimating total N and P in both datasets, contrastingly, not in K. The difference of important variables in each RT-based model partially showed the vital role of land use in nutrient modeling in peat. The depth of sample collection, organic C, and ash content became the prominent factor and variables in regulating the entire predicted nutrients. Meanwhile, the distance from the oil palm tree and pH were the salient features of total P prediction models in OP and OP+bush sites, respectively. This study proposed employing ML-based pedotransfer models in analyzing and interpreting complex tropical peat data as an alternative to linear-based regression. Our initial study also shed more light on the development possibility of the pedotransfer models that agricultural practician, researchers, companies, and farmers can use to predict macronutrients, both in tabular and spatial terms, in cultivated tropical peatlands
{"title":"Identifying the Underlying Factors and Variables Governing Macronutrients in Cultivated Tropical Peatland Using Regression Tree Approach","authors":"Heru Bagus Pulunggono, Yusuf Azmi Madani Madani, Moh Zulfajrin, Y. Yusrizal","doi":"10.52045/jca.v3i1.353","DOIUrl":"https://doi.org/10.52045/jca.v3i1.353","url":null,"abstract":"The capability of machine learning/ML algorithms to analyze the effect of human and environmental factors and variables in controlling soil nutrients has been profoundly studied over the last decades. Unfortunately, ML utilization to estimate macronutrients and their governing factors in cultivated tropical peat soil are extremely scarce. In this study, we trained regression tree/RT, ML-based pedotransfer models to predict total N, P, and K in peat soils based on oil palm/OP and OP+bush datasets. Our results indicated that the dataset might contain outliers, non-linear relationships, and heteroscedasticity, allowing RT-based models to perform better compared to multiple linear regression/MLR models (as a benchmark) in estimating total N and P in both datasets, contrastingly, not in K. The difference of important variables in each RT-based model partially showed the vital role of land use in nutrient modeling in peat. The depth of sample collection, organic C, and ash content became the prominent factor and variables in regulating the entire predicted nutrients. Meanwhile, the distance from the oil palm tree and pH were the salient features of total P prediction models in OP and OP+bush sites, respectively. This study proposed employing ML-based pedotransfer models in analyzing and interpreting complex tropical peat data as an alternative to linear-based regression. Our initial study also shed more light on the development possibility of the pedotransfer models that agricultural practician, researchers, companies, and farmers can use to predict macronutrients, both in tabular and spatial terms, in cultivated tropical peatlands","PeriodicalId":9663,"journal":{"name":"CELEBES Agricultural","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85700465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Sataral, Syahril Daud, F. Fahri, Maria Hevianti
The whitefly Bemisia tabaci is an important pest of chilli peppers and a vector insect that causes yellow leaf disease. This study aimed to compare the whitefly population and the intensity of its attacks on chilli production in plots with or without trap crops. This study used eggplant, tomato and mungbean as trap crops. As the main crop, Chilli pepper was planted in plots measuring 7 m x 4 m with a spacing of 60 cm x 70 cm. Trap crops were planted around the chilli pepper plots, with 16 plants in each plot. The results showed a significant difference between whitefly populations and the intensity of their attacks in plots without trap crops and plots with mungbean traps. The biggest chilli weight was obtained from plots with mungbean trap plants. State that mungbean has the best potential as a trap crop to control B. tabacii
{"title":"Potential of various trap crops for the control of Bemisia tabaci on chilli pepper","authors":"M. Sataral, Syahril Daud, F. Fahri, Maria Hevianti","doi":"10.52045/jca.v2i2.398","DOIUrl":"https://doi.org/10.52045/jca.v2i2.398","url":null,"abstract":"The whitefly Bemisia tabaci is an important pest of chilli peppers and a vector insect that causes yellow leaf disease. This study aimed to compare the whitefly population and the intensity of its attacks on chilli production in plots with or without trap crops. This study used eggplant, tomato and mungbean as trap crops. As the main crop, Chilli pepper was planted in plots measuring 7 m x 4 m with a spacing of 60 cm x 70 cm. Trap crops were planted around the chilli pepper plots, with 16 plants in each plot. The results showed a significant difference between whitefly populations and the intensity of their attacks in plots without trap crops and plots with mungbean traps. The biggest chilli weight was obtained from plots with mungbean trap plants. State that mungbean has the best potential as a trap crop to control B. tabacii","PeriodicalId":9663,"journal":{"name":"CELEBES Agricultural","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76798599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Feed alternative is become the major concern for livestock industry in order to provide the continuously feeding. Feed technology system based on agriculture wastes were the modified strategy to gain the other sources of feed raw materials. Salak Sidempuan is performed similar with the Palm plantations which is produced the potential midrib waste. Nutritionally, the product will feed the animal to increase the performance. The research aims to evaluate the proximate profile especially the fiber contents of midrib waste of Salak Sidempuan fermented with white root fungi. The fifth experiments were evaluated after the measuring period by using the Phanerochaete chrysosporium and replicated in 4 times. Experiments were P0 (control), P1 (5%inoculant of P. chrysosporium), P2 (10%inoculant of P. chrysosporium), P3 (15%inoculant of P. chrysosporium), and P4 (20%inoculant of P. chrysosporium). A completely randomized design was used to determine the statistical effect on dry matter, organic matter, crude fiber and lignin. Results showed that the addition of inoculant about 20% signifantly effected the increasing on dry matter and organic matter while followed the decreasing of fiber contents. In conclusion, fermentation of midrib waste with Phanerochaete chrysosporium is potentially degradated the fiber content itselves.
{"title":"The Fiber Profile of Midrib Waste on Salak Sidempuan Fermented with Phanerochaete chrysosporium","authors":"R. Silaban","doi":"10.52045/jca.v2i2.284","DOIUrl":"https://doi.org/10.52045/jca.v2i2.284","url":null,"abstract":"Feed alternative is become the major concern for livestock industry in order to provide the continuously feeding. Feed technology system based on agriculture wastes were the modified strategy to gain the other sources of feed raw materials. Salak Sidempuan is performed similar with the Palm plantations which is produced the potential midrib waste. Nutritionally, the product will feed the animal to increase the performance. The research aims to evaluate the proximate profile especially the fiber contents of midrib waste of Salak Sidempuan fermented with white root fungi. The fifth experiments were evaluated after the measuring period by using the Phanerochaete chrysosporium and replicated in 4 times. Experiments were P0 (control), P1 (5%inoculant of P. chrysosporium), P2 (10%inoculant of P. chrysosporium), P3 (15%inoculant of P. chrysosporium), and P4 (20%inoculant of P. chrysosporium). A completely randomized design was used to determine the statistical effect on dry matter, organic matter, crude fiber and lignin. Results showed that the addition of inoculant about 20% signifantly effected the increasing on dry matter and organic matter while followed the decreasing of fiber contents. In conclusion, fermentation of midrib waste with Phanerochaete chrysosporium is potentially degradated the fiber content itselves.","PeriodicalId":9663,"journal":{"name":"CELEBES Agricultural","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82743625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
One of the obstacles faced in oil palm cultivation, especially in the immature plant phase, is weeds, weeds can inhibit oil palm growth. So that weeds require special attention during cultivation, the presence of these weeds will become competitors for oil palm plants in fulfilling nutrients, light and water. This study aims to determine the composition of the types and vegetation structure of weeds in immature oil palm plants in large plantations so that the dose of herbicide with active ingredient Methyl Metsulfuron 20% is effective in controlling weeds in immature oil palm plantations in large plantations and studying the phytotoxicity of herbicides made from 20% active Methyl Metsulfuron in immature oil palm trees in large plantations. This study used a randomized block design (RBD), which consisted of 7 levels of treatment, 5 of which used the herbicide methyl metsulfuron 20% at a dose of 87.50 g / ha, 75.00 g / ha, 62.50 g / ha, 50.00 g / ha, 37.50 g / ha. ha and 2 including mechanical and control weeding which is repeated 4 times. Data analysis was performed with the F test, followed by the DMRT test at 5% level. The results showed that there were two species of weeds that dominated the research area, namely B. mutica and A. gangetica weeds with SDR values of 33.13% and 24.73%. The application of herbicides made from 20% methyl metsulfuron as active ingredients in controlling weeds in immature oil palm plantations is able to control 2 types of weeds, namely weeds including Melastoma malabathricum, Clidemia hirta with the best dose of 50.00 g / ha and 37.50 g / ha from the first 4 weeks up to 12 Weeks After Application (MSA).
油棕种植面临的障碍之一，特别是在未成熟的植株阶段，就是杂草，杂草会抑制油棕的生长。因此，杂草在种植过程中需要特别注意，这些杂草的存在将成为油棕植物在养分、光照和水分方面的竞争对手。本研究旨在确定大型人工林未成熟油棕植株杂草的种类组成和植被结构，以确定20%有效成分甲磺隆除草剂的剂量对大型人工林未成熟油棕植株杂草的有效控制，并研究20%活性成分甲磺隆制成的除草剂对大型人工林未成熟油棕植株的植物毒性。本研究采用随机区组设计(RBD)，共设7个处理水平，其中5个处理水平使用20%的甲磺隆，剂量分别为87.50 g / ha、75.00 g / ha、62.50 g / ha、50.00 g / ha、37.50 g / ha。Ha和2包括机械除草和控制除草，重复4次。数据分析采用F检验，再进行5%水平的DMRT检验。结果表明:研究区杂草主要有两种，分别为mutica和gangetica杂草，SDR值分别为33.13%和24.73%。以20%甲磺隆为有效成分的除草剂在未成熟油棕种植园中施用，在施用后4周至12周(MSA)内，可有效防治2种类型的杂草，即malabathricum、Clidemia hirta两种杂草，最佳施用剂量分别为50.00 g / ha和37.50 g / ha。
{"title":"Vegetation analysis and the effectiveness of methyl metsulfuron herbicide to control weeds in immature oil palm plantation","authors":"Asma Pani","doi":"10.52045/jca.v2i2.280","DOIUrl":"https://doi.org/10.52045/jca.v2i2.280","url":null,"abstract":"One of the obstacles faced in oil palm cultivation, especially in the immature plant phase, is weeds, weeds can inhibit oil palm growth. So that weeds require special attention during cultivation, the presence of these weeds will become competitors for oil palm plants in fulfilling nutrients, light and water. This study aims to determine the composition of the types and vegetation structure of weeds in immature oil palm plants in large plantations so that the dose of herbicide with active ingredient Methyl Metsulfuron 20% is effective in controlling weeds in immature oil palm plantations in large plantations and studying the phytotoxicity of herbicides made from 20% active Methyl Metsulfuron in immature oil palm trees in large plantations. This study used a randomized block design (RBD), which consisted of 7 levels of treatment, 5 of which used the herbicide methyl metsulfuron 20% at a dose of 87.50 g / ha, 75.00 g / ha, 62.50 g / ha, 50.00 g / ha, 37.50 g / ha. ha and 2 including mechanical and control weeding which is repeated 4 times. Data analysis was performed with the F test, followed by the DMRT test at 5% level. The results showed that there were two species of weeds that dominated the research area, namely B. mutica and A. gangetica weeds with SDR values of 33.13% and 24.73%. The application of herbicides made from 20% methyl metsulfuron as active ingredients in controlling weeds in immature oil palm plantations is able to control 2 types of weeds, namely weeds including Melastoma malabathricum, Clidemia hirta with the best dose of 50.00 g / ha and 37.50 g / ha from the first 4 weeks up to 12 Weeks After Application (MSA).","PeriodicalId":9663,"journal":{"name":"CELEBES Agricultural","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91492157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ant diversity in the plantation ecosystem has an important role in maintaining the balance of the ecosystem and the continuity of crop production. It aims to find out ant diversity and the role of ants present in oil palm, rubber, and cocoa plantation ecosystems in Dharmasraya District. The research location is Kecamatan Pulau Punjung, Sitiung, and Koto Besar. The method used in this research is Systematic Random Sampling (Random Design Selected). Sampling using the Qudran Protocol method is Soil And Leaf Litter Sieving, Pitfall trap, Bait Trap, and Hand Collecting. Identification is done at the Laboratory of Animal Taxonomy, Biology Department, Faculty of Mathematics and Natural Sciences, Andalas University. The diversity and evenness of ants in some types of plantations in Dharmasraya Regency were moderate (H '<1) and (E <0.63). There were 16 species of ants; the most abundant species were Aneplolephis graciliphes and Odontoponera denticulate.
人工林生态系统蚂蚁多样性对维持生态系统的平衡和作物生产的连续性具有重要作用。它的目的是找出蚂蚁的多样性，以及蚂蚁在达马斯拉亚地区油棕、橡胶和可可种植园生态系统中的作用。研究地点是keecamatan Pulau Punjung, Sitiung和Koto Besar。本研究采用的方法是系统随机抽样(随机设计选择)。取样采用Qudran协议方法是土壤和落叶筛分，陷阱陷阱，诱饵陷阱，和手收集。鉴定在安达拉斯大学数学与自然科学学院生物系动物分类实验室完成。达摩寺县部分类型人工林蚂蚁的多样性和均匀性均为中等(H <1)和(E <0.63)。有16种蚂蚁;最丰富的种类是无齿龙和齿龙。
{"title":"Diversity of Ants (Hymenoptera: Formicidae) on Several Types of Plantations in Dharmasraya Regency, West Sumatra Province","authors":"Silvia Roza","doi":"10.52045/jca.v2i2.491","DOIUrl":"https://doi.org/10.52045/jca.v2i2.491","url":null,"abstract":"Ant diversity in the plantation ecosystem has an important role in maintaining the balance of the ecosystem and the continuity of crop production. It aims to find out ant diversity and the role of ants present in oil palm, rubber, and cocoa plantation ecosystems in Dharmasraya District. The research location is Kecamatan Pulau Punjung, Sitiung, and Koto Besar. The method used in this research is Systematic Random Sampling (Random Design Selected). Sampling using the Qudran Protocol method is Soil And Leaf Litter Sieving, Pitfall trap, Bait Trap, and Hand Collecting. Identification is done at the Laboratory of Animal Taxonomy, Biology Department, Faculty of Mathematics and Natural Sciences, Andalas University. The diversity and evenness of ants in some types of plantations in Dharmasraya Regency were moderate (H '<1) and (E <0.63). There were 16 species of ants; the most abundant species were Aneplolephis graciliphes and Odontoponera denticulate.","PeriodicalId":9663,"journal":{"name":"CELEBES Agricultural","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74933637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to recommend fertilization based on the nutrient status of N and K in rainfed rice fields; therefore, it is necessary to conduct a soil analysis to formulate fertilizer recommendations based on the nutrient status of N and K. This research was carried out in Bombanon Village, Mantoh District in July 2021. The chemical properties of the soil analyzed were N (Kjeldahl) and K (HCl25%). The result of soil analysis then matched with the PPT criteria for soil chemical properties status and Balitbangtan guidelines of N and P fertilization for rice crops. The results showed that the N contents at T1 and T3 were low, whereas T2 had a moderate N content. K content at the entire sampling sites were considered moderate. This study recommended N and K fertilization of 275 kg/ha and 50 kg/ha of urea and KCl, respectively, without returning straw.
{"title":"Fertilization Recommendations Based on Nutrition Status of N and K on Rainfed Rice field in Mantoh District","authors":"Iqbal Akase, Hidayat AM Katili","doi":"10.52045/jca.v2i2.281","DOIUrl":"https://doi.org/10.52045/jca.v2i2.281","url":null,"abstract":"This study aims to recommend fertilization based on the nutrient status of N and K in rainfed rice fields; therefore, it is necessary to conduct a soil analysis to formulate fertilizer recommendations based on the nutrient status of N and K. This research was carried out in Bombanon Village, Mantoh District in July 2021. The chemical properties of the soil analyzed were N (Kjeldahl) and K (HCl25%). The result of soil analysis then matched with the PPT criteria for soil chemical properties status and Balitbangtan guidelines of N and P fertilization for rice crops. The results showed that the N contents at T1 and T3 were low, whereas T2 had a moderate N content. K content at the entire sampling sites were considered moderate. This study recommended N and K fertilization of 275 kg/ha and 50 kg/ha of urea and KCl, respectively, without returning straw.","PeriodicalId":9663,"journal":{"name":"CELEBES Agricultural","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90258547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Posbidik compost is an innovative product that is expected to solve the scarcity of subsidized fertilizers for farmers. The principle of the jajar legowo planting system is to increase plant population and lowland rice production. This study aimed to determine the influence of posbidik compost and jajar legowo planting system on the growth and yield of Ciherang rice varieties. This study was conducted on irrigation paddy fields owned by farmers in West Toili District, Banggai Regency, in August-December 2020. This study used a factorial randomized block design consisting of 2 factors, namely posbidik compost consisting of 3 levels, namely: K1 = 5 tons/ha; K2 = 7.5 tons/ha; K3 = 10 tons / ha, and planting system legowo 2:1 line consisting of 3 levels, namely: L1 = 20 x 10 x 40 cm; L2 = 25 x 12.5 x 50 cm; L3 = 30 x 15 x 60 cm. The results showed that the interaction of posbidik compost and jajar legowo planting system does not affect the plant height; however, it affects the number of productive tillers, the weight of 1000 grains and productivity. The results showed that the best performance of the yield rice in the treatments of 7.5 tons/ha posbidik dose with planting space of 25 x 12.5 x 50 cm.
{"title":"Growth and yield of rice fields with posbidik compost and jajar legowo planting system","authors":"I. K. Suweta, Hertasning Yatim, M. Sataral","doi":"10.52045/jca.v2i1.177","DOIUrl":"https://doi.org/10.52045/jca.v2i1.177","url":null,"abstract":"Posbidik compost is an innovative product that is expected to solve the scarcity of subsidized fertilizers for farmers. The principle of the jajar legowo planting system is to increase plant population and lowland rice production. This study aimed to determine the influence of posbidik compost and jajar legowo planting system on the growth and yield of Ciherang rice varieties. This study was conducted on irrigation paddy fields owned by farmers in West Toili District, Banggai Regency, in August-December 2020. This study used a factorial randomized block design consisting of 2 factors, namely posbidik compost consisting of 3 levels, namely: K1 = 5 tons/ha; K2 = 7.5 tons/ha; K3 = 10 tons / ha, and planting system legowo 2:1 line consisting of 3 levels, namely: L1 = 20 x 10 x 40 cm; L2 = 25 x 12.5 x 50 cm; L3 = 30 x 15 x 60 cm. The results showed that the interaction of posbidik compost and jajar legowo planting system does not affect the plant height; however, it affects the number of productive tillers, the weight of 1000 grains and productivity. The results showed that the best performance of the yield rice in the treatments of 7.5 tons/ha posbidik dose with planting space of 25 x 12.5 x 50 cm.","PeriodicalId":9663,"journal":{"name":"CELEBES Agricultural","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80627148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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