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KARAKTERISASI INDIKATOR KESESUAIAN LAHAN KOMODITI NANAS LOKAL (Ananas comosus) KABUPATEN MAJENE 当地楠木(Ananas comosus)产品特征 土地适宜性指标 马杰内地区
Pub Date : 2024-01-01 DOI: 10.21776/ub.jtsl.2024.011.1.24
Muhammad Fahyu Sanjaya, Ihsan Arham, Irlan Irlan, Yusril Mahendra, Irwansyah Irwansyah
Indonesia boasts a high biodiversity, intricately linked to the various ecosystems within its territories. In Majene Regency, West Sulawesi Province, for instance, there is a unique commodity in the form of pineapple, locally known as 'pondang'. One of the efforts to preserve this unique pineapple commodity is to understand the characteristics of the cultivation land that has sustained it over time. This research aimed to characterize the land in the cultivation areas of Majene's local pineapple as fundamental information for farmers to comprehend the plant growth ecosystem and manage the land optimally. The research utilized purposive random sampling based on the cultivation locations of Majene's local pineapple. Observations revealed that the cultivation land conditions for Majene's local pineapple had an average temperature ranging from 25.65 to 29.75 ºC, rainfall between 1,488.05 and 2,820.50 mm, with humidity ranging from 63.38 to 89.00%. Additionally, soil fertility conditions in the research locations indicated high nutrient retention, as shown by slightly acidic to neutral soil pH values and high Cation Exchange Capacity (CEC), although some available nutrients indicated very low to low soil fertility levels, such as potassium. Soil management significantly influenced nutrient availability, soil salinity, and alkalinity in the research locations.
印度尼西亚拥有丰富的生物多样性,这与其境内的各种生态系统密不可分。例如,在西苏拉威西省的马杰内地区,就有一种独特的商品--菠萝,当地人称之为 "pondang"。要保护这种独特的菠萝商品,其中一项工作就是了解长期以来种植菠萝的土地的特征。这项研究旨在了解马杰内当地菠萝种植区的土地特征,作为农民了解植物生长生态系统和优化土地管理的基本信息。研究根据马杰内当地菠萝的种植地点,采用有目的的随机抽样。观察结果显示,Majene 当地菠萝的种植地条件为:平均温度在 25.65 至 29.75 ºC 之间,降雨量在 1,488.05 至 2,820.50 毫米之间,湿度在 63.38 至 89.00% 之间。此外,研究地点的土壤肥力条件表明,土壤 pH 值呈弱酸性至中性,阳离子交换容量(CEC)较高,养分保持率较高,但一些可用养分(如钾)表明土壤肥力水平很低甚至很低。土壤管理对研究地点的养分可用性、土壤盐度和碱度有很大影响。
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引用次数: 0
PENGARUH TUTUPAN LAHAN DAN CURAH HUJAN TERHADAP SIFAT FISIK TANAH SERTA DEBIT MATA AIR DI HUTAN CEMPAKA, PASURUAN, JAWA TIMUR 东爪哇帕苏鲁安岑帕卡森林的土地覆盖和降雨对土壤物理特性和春季排水量的影响
Pub Date : 2024-01-01 DOI: 10.21776/ub.jtsl.2024.011.1.29
Rossi Widhi Utami, Iva Dewi Lestariningsih, K. Wicaksono, Akmaludin Dimas Anggara, Sarifudin Lathif
Climate change causes forest fires that impact land cover damage, which can cause damage to soil properties and disrupt hydrological characteristics such as loss of spring or discharge depletion. This study aimed to assess the influence of land cover and rainfall on soil physical properties and spring discharge in the Cempaka Forest area. The study was conducted on three land covers, i.e., shrubs, pine, and non-timber forest products (NTFPs) in the Cempaka Forest area, Curah Tangkil Block, Pasuruan Regency, East Java Province. The measured parameters were soil bulk density, permeability, porosity, infiltration, daily rainfall, and spring discharge. Data analysis used analysis of variance (ANOVA) test at a 5% level, correlation test, and regression. The results showed that differences in land cover had no significant effect on soil physical properties. The correlation and regression results between rainfall and spring discharge showed that rainfall influenced spring discharge by 4%. The correlation and regression results in the medium-heavy rainfall categories influenced spring discharge by 38%.
气候变化引起的森林火灾会对土地植被造成破坏,从而对土壤性质造成损害,并破坏水文特征,如泉水流失或排水枯竭。本研究旨在评估 Cempaka 森林地区土地覆盖和降雨对土壤物理特性和泉水排放的影响。研究对象是东爪哇省 Pasuruan 县 Curah Tangkil 区 Cempaka 森林地区的三种土地覆盖物,即灌木、松树和非木材森林产品(NTFPs)。测量参数包括土壤容重、渗透性、孔隙度、渗透率、日降雨量和春季排水量。数据分析采用了 5%水平的方差分析(ANOVA)检验、相关检验和回归分析。结果表明,土地覆被的差异对土壤物理特性没有显著影响。降雨量与春季排水量之间的相关性和回归结果表明,降雨量对春季排水量的影响为 4%。中强降雨类别的相关性和回归结果显示,降雨量对春季排水量的影响为 38%。
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引用次数: 0
PEMODELAN PREDIKSI KONVERSI PENGGUNAAN LAHAN BERBASIS ANN-CA DI WILAYAH PERI-URBAN KABUPATEN SLEMAN 基于 ann-ca 的 sleman 县城郊地区土地利用转化预测模型
Pub Date : 2024-01-01 DOI: 10.21776/ub.jtsl.2024.011.1.18
Tiara Sarastika, Yudhistira Saraswati, Riska Aprilia Triyadi, Yusuf Susena
The development in the city has caused urban areas to experience significant growth due to increased activity. One of the visible changes is the change in the use of vegetated land for built-up land. The research location is in a peri-urban area of Depok and Mlati subdistrict, Sleman Regency. This research analyzed land use conversion in 2015-2020 and modeled land change predictions for the next 20 years (2025-2045) using Artificial Neural Network - Cellular Automata (ANN-CA). The ANN method used multiple output neurons to determine the probability of land use transition. CA was used to model land use change by applying transition probabilities. The source of land use data came from extracting SPOT images, and then the modeling process used QGIS Desktop 2.18.11 on the MOLUSCE plugin. The results showed that the peri-urban area experienced a decrease in agricultural and livestock land by 152.62 ha (2.52%) while building land increased by 148.74 ha (2.46%). The 2025-2045 land use conversion prediction shows that the reduction in agricultural land, plantations, and livestock will continue, and the land area for buildings and roads will increase.
随着城市的发展,活动的增加使城区面积大幅增长。其中一个明显的变化就是植被用地被建筑用地取代。研究地点位于德波克的一个近郊区和 Sleman 行政区的 Mlati 分区。这项研究分析了 2015-2020 年的土地使用转换情况,并使用人工神经网络-细胞自动机(ANN-CA)对未来 20 年(2025-2045 年)的土地变化预测进行了建模。人工神经网络方法使用多个输出神经元来确定土地利用转变的概率。通过应用过渡概率,CA 被用于建立土地利用变化模型。土地利用数据的来源是提取 SPOT 图像,然后使用 QGIS Desktop 2.18.11 的 MOLUSCE 插件进行建模。结果显示,城郊地区的农业和畜牧业用地减少了 152.62 公顷(2.52%),而建筑用地增加了 148.74 公顷(2.46%)。2025-2045 年土地用途转换预测显示,农业用地、种植园和畜牧业用地将继续减少,而建筑和道路用地将增加。
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引用次数: 0
ANALISIS KESESUAIAN PENGGUNAAN LAHAN TAHUN 2022 TERHADAP RENCANA TATA RUANG WILAYAH KABUPATEN BOYOLALI 根据博约拉里地区空间规划对 2022 年土地使用适宜性的分析
Pub Date : 2024-01-01 DOI: 10.21776/ub.jtsl.2024.011.1.7
M. Saifuddin, D. Danardono
Land use is defined as human intervention in natural and human-made resources with the aim of fulfilling spiritual and material needs. Land use is inseparable from the phenomenon of land use change. Boyolali District is certainly not exempt from the phenomenon of land use change. Land use conversion has an impact on the inconsistency between land use and its designated plan. This study aimed to analyze land use changes from 2011 to 2022 and assess the suitability of land use in 2022 with the spatial plan of Boyolali District. This study applied survey and spatial analysis methods. The overlay technique produces maps of land use changes and the suitability of land use in 2022 with the Rencana Tata Ruang Wilayah (RTRW = Regional Spatial Planning) of Boyolali District. The results of the research showed that Kabupaten Boyolali experienced a land use conversion of 210.74 km2. Kecamatan Juwangi had the largest change in land use, covering an area of 30.37 km2, while Kecamatan Banyudono had the smallest change of 1.05 km2. The suitability of land use in 2022 with the Rencana Tata Ruang Wilayah (RTRW = Regional Spatial Planning) of Boyolali District indicates a suitable class covering an area of 797.24 km2, while an unsuitable class covers an area of 297.15 km2.
土地利用的定义是人类为满足精神和物质需求而对自然和人为资源进行的干预。土地利用与土地利用变化现象密不可分。博约拉里区当然也不能幸免于土地利用变化现象。土地用途转变会影响土地用途与其指定规划之间的不一致性。本研究旨在分析 2011 年至 2022 年的土地利用变化,并评估 2022 年土地利用与博约拉里区空间规划的适宜性。本研究采用了调查和空间分析方法。通过叠加技术绘制出土地利用变化图,并根据博约拉里区的区域空间规划(Rencana Tata Ruang Wilayah,RTRW = Regional Spatial Planning)评估 2022 年土地利用的适宜性。研究结果表明,博约拉里区经历了 210.74 平方公里的土地用途转变。朱旺吉区的土地用途变化最大,面积为 30.37 平方公里,而班尤多诺区的土地用途变化最小,面积为 1.05 平方公里。根据博约拉里区 2022 年区域空间规划(RTRW = Regional Spatial Planning),土地使用的适宜性表明,适宜等级的面积为 797.24 平方公里,不适宜等级的面积为 297.15 平方公里。
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引用次数: 0
KAJIAN DISTRIBUSI C ORGANIK DAN KADAR AIR TAHAN DI LAHAN KOPI ROBUSTA KABUPATEN JEMBER DENGAN KETINGGIAN BERBEDA PADA AKHIR MUSIM PENGHUJAN 雨季结束时不同海拔地区罗布斯塔咖啡田的有机碳分布和水分含量研究
Pub Date : 2024-01-01 DOI: 10.21776/ub.jtsl.2024.011.1.15
Ika Purnamasari, Rifqi Ilman Sanjaya, Fatya Rachman, Bagus Setyo Eko Priyono, Y. Wijayanto
Coffee (Coffea spp.) is one of the leading commodities, which contributed 42.98 percent to the export value of the annual crop agricultural sector in 2013-2020. The productivity of Robusta coffee plants in the Jember region has tended to decrease significantly over the last 5 years. Geographic Information Systems (GIS) can be used to determine the distribution of organic C and soil water content as a basis for proper land management. The results showed that the percentage of ideal distribution area for organic C content was 94.94%, and the soil water content was at a value of 6.92-18.68%, where the status of moderate soil water content dominated by 59% of the total land. The results of simple linear regression analysis showed that the organic C variable (X1) had an effect of 29% and soil water content (X2) 10% productivity values. In addition, multiple linear regression analysis showed a strong influence of 63% on the value of productivity. The age factor also has an effect of 57% on the value of productivity.
咖啡(Coffea spp.)是主要商品之一,占 2013-2020 年全年农作物出口额的 42.98%。在过去 5 年中,Jember 地区的罗布斯塔咖啡产量呈显著下降趋势。地理信息系统(GIS)可用于确定有机碳和土壤含水量的分布情况,为适当的土地管理提供依据。结果显示,有机碳含量理想分布区的百分比为 94.94%,土壤含水量值为 6.92-18.68%,其中土壤含水量适中的状态占总土地的 59%。简单线性回归分析结果显示,有机碳变量(X1)对生产力值的影响为 29%,土壤含水量(X2)对生产力值的影响为 10%。此外,多元线性回归分析表明,对生产率值的影响很大,达到 63%。年龄因素对生产力值的影响也达到了 57%。
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引用次数: 0
EVALUASI KESESUAIAN LAHAN SEBAGAI UPAYA PENINGKATAN PRODUKSI TANAMAN PANGAN DI KECAMATAN KASIHAN KABUPATEN BANTUL 评估土地适宜性,努力提高班图尔县卡西汉分区的粮食作物产量
Pub Date : 2024-01-01 DOI: 10.21776/ub.jtsl.2024.011.1.25
Yoram Gehing Wijaya, S. Budiyanto, E. D. Purbajanti
Evaluation of land suitability was carried out in Kasihan District to determine the land suitability class for food plants. This research was conducted to determine the limiting factors that resulted in a decrease in soil fertility in the local area. Land suitability classes were obtained in S3, and N classes with limiting factors for water availability (wa), erosion hazard (eh), root media (rc), and nutrient retention (nr). The limiting factors that are found in the study area are the erosion hazard, soil pH, and organic C levels. Improvement efforts as an agricultural area development that can be done are making bunds to reduce slopes, giving biochar to increase organic C levels, and reducing soil pH. The limiting factors of soil texture and depth cannot be repaired. Soil texture is a property of the soil that is influenced by nature and is very difficult to change, and the depth of the soil cannot be changed unless other agricultural commodities are selected.
在卡西汉地区开展了土地适宜性评估,以确定食用植物的土地适宜性等级。这项研究旨在确定导致当地土壤肥力下降的限制因素。土地适宜性等级分为 S3 级和 N 级,其限制因素包括水分供应(wa)、侵蚀危害(eh)、根系介质(rc)和养分保持(nr)。研究区域的限制因素包括侵蚀危害、土壤 pH 值和有机碳含量。作为农业区的发展,可以采取的改进措施包括修建堤坝以减少坡度,施用生物炭以增加有机碳含量,以及降低土壤 pH 值。土壤质地和深度是无法修复的限制因素。土壤质地是受自然影响的土壤特性,很难改变,而土壤深度也无法改变,除非选择其他农产品。
{"title":"EVALUASI KESESUAIAN LAHAN SEBAGAI UPAYA PENINGKATAN PRODUKSI TANAMAN PANGAN DI KECAMATAN KASIHAN KABUPATEN BANTUL","authors":"Yoram Gehing Wijaya, S. Budiyanto, E. D. Purbajanti","doi":"10.21776/ub.jtsl.2024.011.1.25","DOIUrl":"https://doi.org/10.21776/ub.jtsl.2024.011.1.25","url":null,"abstract":"Evaluation of land suitability was carried out in Kasihan District to determine the land suitability class for food plants. This research was conducted to determine the limiting factors that resulted in a decrease in soil fertility in the local area. Land suitability classes were obtained in S3, and N classes with limiting factors for water availability (wa), erosion hazard (eh), root media (rc), and nutrient retention (nr). The limiting factors that are found in the study area are the erosion hazard, soil pH, and organic C levels. Improvement efforts as an agricultural area development that can be done are making bunds to reduce slopes, giving biochar to increase organic C levels, and reducing soil pH. The limiting factors of soil texture and depth cannot be repaired. Soil texture is a property of the soil that is influenced by nature and is very difficult to change, and the depth of the soil cannot be changed unless other agricultural commodities are selected.","PeriodicalId":413872,"journal":{"name":"Jurnal Tanah dan Sumberdaya Lahan","volume":"91 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139126120","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}
引用次数: 0
ESTIMASI KANDUNGAN BAHAN ORGANIK TANAH DI LAHAN TANAMAN JERUK, KECAMATAN DAU, KABUPATEN MALANG MENGGUNAKAN INDEKS VEGETASI DAN SISTEM INFORMASI GEOGRAFIS 利用植被指数和地理信息系统估算马朗县达乌分区柑橘地的土壤有机质含量
Pub Date : 2024-01-01 DOI: 10.21776/ub.jtsl.2024.011.1.20
Muhammad Fiqriansyah Wiradirga Saputra, Mochammad Munir
Citrus plants (Citrus sp.) are most plants that grow in Petungsewu Village, Dau District. The decreased productivity of citrus plants causes the availability of citrus plants also to decrease. This needs to be increased to meet citrus plants' needs. The influence of soil organic matter is the main factor causing a decrease in the productivity of citrus plants in Petungsewu Village, Dau District. Therefore, it is necessary to estimate soil organic matter using the NDVI vegetation density index to obtain adequate and efficient results. Reliability testing was also carried out to know the accuracy level of the estimates made. The research was conducted at the Citrus Plantation and Subtropical Fruit Research Institute in Petungsewu Village, Dau District, Malang Regency. Estimation of soil organic matter using the NDVI vegetation density index showed an accuracy rate of 81.1%. The results of the accuracy analysis were strengthened by the presence of a paired t-test with a value of t = 0.01 and a value of p = 0.991.
柑橘(Citrus sp.)是生长在达乌区佩通塞乌村的主要植物。柑橘类植物产量的下降导致柑橘类植物的供应也随之减少。为了满足柑橘类植物的需求,需要增加土壤有机质。土壤有机质的影响是导致达乌区双石坞村柑橘产量下降的主要因素。因此,有必要使用 NDVI 植被密度指数估算土壤有机质,以获得充分有效的结果。此外,还进行了可靠性测试,以了解估算结果的准确程度。研究在马朗地区 Dau 区 Petungsewu 村的柑橘种植园和亚热带水果研究所进行。使用 NDVI 植被指数估算土壤有机质的准确率为 81.1%。通过配对 t 检验(t = 0.01,p = 0.991),准确度分析结果得到了加强。
{"title":"ESTIMASI KANDUNGAN BAHAN ORGANIK TANAH DI LAHAN TANAMAN JERUK, KECAMATAN DAU, KABUPATEN MALANG MENGGUNAKAN INDEKS VEGETASI DAN SISTEM INFORMASI GEOGRAFIS","authors":"Muhammad Fiqriansyah Wiradirga Saputra, Mochammad Munir","doi":"10.21776/ub.jtsl.2024.011.1.20","DOIUrl":"https://doi.org/10.21776/ub.jtsl.2024.011.1.20","url":null,"abstract":"Citrus plants (Citrus sp.) are most plants that grow in Petungsewu Village, Dau District. The decreased productivity of citrus plants causes the availability of citrus plants also to decrease. This needs to be increased to meet citrus plants' needs. The influence of soil organic matter is the main factor causing a decrease in the productivity of citrus plants in Petungsewu Village, Dau District. Therefore, it is necessary to estimate soil organic matter using the NDVI vegetation density index to obtain adequate and efficient results. Reliability testing was also carried out to know the accuracy level of the estimates made. The research was conducted at the Citrus Plantation and Subtropical Fruit Research Institute in Petungsewu Village, Dau District, Malang Regency. Estimation of soil organic matter using the NDVI vegetation density index showed an accuracy rate of 81.1%. The results of the accuracy analysis were strengthened by the presence of a paired t-test with a value of t = 0.01 and a value of p = 0.991.","PeriodicalId":413872,"journal":{"name":"Jurnal Tanah dan Sumberdaya Lahan","volume":"53 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139126453","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}
引用次数: 0
IDENTIFIKASI KARAKTERISTIK POLA SPASIAL HULU HILIR PADI ORGANIK DI KABUPATEN SERDANG BEDAGAI 确定 SERDANG BEDAGAI 地区有机水稻上游和下游空间模式的特征
Pub Date : 2024-01-01 DOI: 10.21776/ub.jtsl.2024.011.1.2
Nabila Annajmi, B. Tjahjono, Syaiful Anwar
Organic agriculture must be applied in an integrated manner, from upstream to downstream, forming a system. This subsystem is part of the market-oriented agribusiness concept by paying attention to quantity, quality, and continuity to gain income and agricultural productivity profits. This study aimed to look at the development of organic rice farming in the Serdang Bedagai Regency from a regional (spatial), agribusiness, and economic point of view. ANN analysis involves distance variables between agribusiness subsystems, road infrastructure, and transportation. The results of the analysis showed that the spatial pattern of organic rice formed in the Serdang Bedagai Regency was distributed, especially in Lubuk Bayas Village and Tanah Merah Village, with each having a value of R = 2.81 (R> 1) and R = 6.15 (R>1). Pematang Setrak Village had a clustered spatial pattern or had a value of R = 0.12 (R<1). This shows that the closer the locations between the subsystems are, the more profitable it is, thus saving production and transportation costs. The gains obtained were strengthened by the results of the R/C ratio produced, namely Tanah Merah Village with a value of 1.36, Lubuk Bayas Village with a value of 1.39, and Pematang Setrak Village with a value of 1.48. This means that farming activities are pretty efficient.
有机农业必须从上游到下游综合应用,形成一个系统。这个子系统是以市场为导向的农业综合企业概念的一部分,它注重数量、质量和连续性,以获得收入和农业生产力利润。本研究旨在从区域(空间)、农业综合企业和经济的角度来考察实当勿加盖地区有机水稻种植的发展情况。ANN 分析涉及农业综合企业子系统、道路基础设施和交通之间的距离变量。分析结果显示,Serdang Bedagai 行政区形成的有机水稻空间格局呈分布式,尤其是在 Lubuk Bayas 村和 Tanah Merah 村,R 值分别为 2.81(R>1)和 6.15(R>1)。Pematang Setrak 村的空间模式为聚类或 R = 0.12(R<1)。这表明,子系统之间的位置越近,利润越高,从而节省了生产和运输成本。所产生的 R/C 比率结果加强了所获得的收益,即 Tanah Merah 村的 R/C 比率值为 1.36,Lubuk Bayas 村的 R/C 比率值为 1.39,Pematang Setrak 村的 R/C 比率值为 1.48。这说明农业活动的效率相当高。
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引用次数: 0
ANALISIS KORELASI KARAKTERISTIK TANAH (P TERSEDIA, BAKTERI PELARUT FOSFAT, C ORGANIK, DAN KAPASITAS TUKAR KATION) TERHADAP PRODUKTIVITAS JAGUNG DI KECAMATAN CIBUGEL, KABUPATEN SUMEDANG 土壤特性(可利用磷、磷酸盐溶解菌、有机碳和阳离子交换容量)与苏美塘区西布格尔分区玉米产量的相关性分析
Pub Date : 2024-01-01 DOI: 10.21776/ub.jtsl.2024.011.1.9
Thausy Julia Putri, M. Sule, B. Fitriatin
Maize is the main strategic food crop in Indonesia's food supply, but the productivity of maize in Indonesia is still low. Increasing the productivity of maize can be done by understanding information about the characteristics of the soil on maize planting areas. The research aimed to evaluate the relationship of soil biological and chemical characteristics (available P, phosphate solubilizing bacterial population, arbuscular mycorrhizal fungal population, organic C, and cation exchange capacity) on maize plant productivity. The research was carried out in Cibugel District, Sumedang Regency. The research used descriptive survey and comparative methods on 18 soil samples. The maize planting area was obtained based on analysis and overlapping of land units in the form of; slope, elevation, climate and shelled maize production area. Maize planting land is at an altitude of 500-1,000 meters above sea level and with a slope of 10-30%. The results of correlation analysis showed that organic C, cation exchange capacity, and phosphate solubilizing bacteria had a positive correlation with maize productivity, while available P and arbuscular mycorrhizal fungi had a negative correlation. organic C had the highest close relationship with a value of r = 0.43, while the other parameters have a weak relationship.
玉米是印尼粮食供应中的主要战略粮食作物,但印尼的玉米生产率仍然很低。提高玉米的生产率可以通过了解玉米种植区的土壤特性信息来实现。该研究旨在评估土壤生物和化学特征(可利用磷、磷酸盐溶解细菌数量、丛枝状菌根真菌数量、有机碳和阳离子交换容量)与玉米植株生产力的关系。研究在苏美当地区的西布格尔县进行。研究对 18 个土壤样本采用了描述性调查和比较法。玉米种植面积是根据坡度、海拔、气候和脱壳玉米生产面积等土地单位的分析和重叠而得出的。玉米种植区的海拔高度为 500-1000 米,坡度为 10-30%。相关性分析结果表明,有机碳、阳离子交换容量和磷酸盐溶解菌与玉米产量呈正相关,而可利用磷和丛枝菌根真菌则呈负相关。
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引用次数: 0
EVALUASI KESESUAIAN LAHAN UNTUK TANAMAN PADI SAWAH DI KAMPUNG SUKA MAJU DISTRIK MALIND KABUPATEN MERAUKE 美劳克县马林德地区甘榜苏卡马尤的水稻种植适宜性评估
Pub Date : 2024-01-01 DOI: 10.21776/ub.jtsl.2024.011.1.30
Yosefina Mangera, Wahida Wahida, Muhamad Dimas Saputra
The level of land suitability for lowland rice can be determined by conducting a land suitability evaluation. Information related to land suitability classes can be used as a reference in taking appropriate action in managing rice fields so that production targets can be achieved. The aim of this research is to determine the actual land suitability class for lowland rice crops in Suka Maju Village, Malind District, Merauke Regency. This research used a survey method and soil sampling was carried out on two types of land, namely paddy fields and grasslands. Data collection was carried out by direct observation, laboratory analysis and data analysis. The data analysis technique to determine the subclass of land suitability is to match the growing requirements for lowland rice plants with the quality and characteristics of the land according to the Technical Guidelines for Land Evaluation for Agricultural Commodities, 2011 Revised Edition. The results of the research show that the land suitability class for lowland rice plants is on both types of land. (rice fields and grasslands) are classified as marginal suitability class (S3) with the limiting factors being rooting media (rc), nutrient retention (nr) and available nutrients (na). Basically, the limiting factors in this research can be improved by liming, fertilizing and adding organic materials.
可通过进行土地适宜性评估来确定低地水稻的土地适宜性水平。与土地适宜性等级相关的信息可作为采取适当措施管理稻田的参考,从而实现生产目标。本研究的目的是确定美劳克省马林德地区苏卡马朱村低地水稻作物的实际土地适宜性等级。本研究采用调查法,对两种类型的土地(即水田和草地)进行了土壤取样。数据收集通过直接观察、实验室分析和数据分析进行。确定土地适宜性小类的数据分析技术是根据《农产品土地评价技术指南》2011 年修订版,将低地水稻植物的生长要求与土地的质量和特征相匹配。研究结果表明,低地水稻种植的土地适宜性等级包括两种类型的土地。(稻田和草地)都被划分为边缘适宜性等级(S3),限制因素为生根介质(rc)、养分保持率(nr)和可利用养分(na)。基本上,本研究中的限制因素可以通过施石灰、施肥和添加有机材料来改善。
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引用次数: 0
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