scholarly journals PESTISIDA PADA BUDIDAYA KEDELAI DI KABUPATEN BANTUL D. I. YOGYAKARTA

2016 ◽  
Vol 31 (1) ◽  
pp. 38
Author(s):  
Arif Anshori ◽  
Catur Prasetiyono
Keyword(s):  
Pesticide Residue ◽  
Active Ingredient ◽  
Pesticide Residues ◽  
High Frequency ◽  
Soybean Yield ◽  
Soybean Production ◽  
Plant Pests ◽  
Pesticide Usage ◽  
Usage Data

<p><em>Soybean farming carried out by farmer in Bantul Regency D.I. Yogyakarta. Pesticides still important in securing the soybean production of plant pests. Some farmers in the extreme assumes that pesticide with dose and high frequency can improve yields. The research was conducted in Bambanglipuro and Srandakan Bantul D.I. Yogyakarta on April to October 2012. The research aims to identify the use of pesticides in farming soybeans, soybean production and farmers income as well as pesticide residues in soybean dry seeds. Interviews were conducted with farmers, include the use of pesticides, soybean production and farmers income. Aside from interviews with farmers, pesticide usage data is also derived from used packaging were found at the site. Soybean dry seeds were taken from the site of the most intensive in the cultivation of soybeans and analyzed pesticide residues. The results showed that soybean farmers use pesticides in farming. Pesticides are used insecticides (69.6%), fungicides (17.4%), herbicides (8.7%) and other types (4.3%). Soybean yield 1,850 kg/ha, revenue Rp. 2.932.500,-/ha with B/C ratio 1.36. The active ingredient of pesticide residue organoposfat contained in the soybean dry seeds with concentration 0-0.068 mg/kg.</em></p>

Soybean production potential under crop rotation in the central forest-steppe of Trans-Urals

2021 ◽  
pp. 5-5
Author(s):  
Ю.В. Суркова ◽  
И.Н. Цымбаленко ◽  
С.Д. Гилев
Keyword(s):  
Crop Rotation ◽  
Cost Effective ◽  
Crop Productivity ◽  
Nitrogen Fertilizers ◽  
Forest Steppe ◽  
Hydrothermal Coefficient ◽  
Soybean Yield ◽  
Soybean Production ◽  
Rotation System ◽  
Favorable Conditions

Представлена комплексная оценка эффективности диверсификации севооборотов, а также способов обработки почвы и влияния азотных удобрений при возделывании сои в условиях засушливого климата центральной лесостепной зоны Зауралья. По результатам исследований, проведённых в 2010–2020 годах в Курганском НИИСХ – филиале УрФАНИЦ УрО РАН, установлено влияние гидротермических условий региона и агротехнических приёмов на формирование урожайности сои. В острозасушливые годы с гидротермическим коэффициентом 0,3–0,6 урожайность сои снижалась наполовину по сравнению с благоприятными по тепло- и влагообеспеченности периодами (ГТК — 1,1–1,2). На фоне удобрений и надёжной системы защиты посевов сои от сорных растений менее затратная поверхностная обработка по урожайности не уступала вспашке. Минеральный азот в дозе N30 на фоне средней обеспеченности почвы подвижным фосфором в острозасушливые годы обеспечил прибавку зерна сои 0,28 т/га, в благоприятные по условиям увлажнения годы прибавка от применения N30 увеличилась до 0,43 т/га. Диверсификация традиционного четырёхпольного зернопарового севооборота путём замены пшеничного поля посевами сои обеспечила повышение продуктивности, улучшение качества продукции и экономических показателей. Рентабельность производства продукции с севооборотной площади в вариантах с ресурсосберегающей поверхностной обработкой выросла до 110% без удобрений и до 117% — на фоне N30 против 49 и 66% в зернопаровом севообороте. В результате многолетних исследований в контрастных погодных условиях установлено, что производство сои в полевом севообороте в центральной лесостепной зоне Зауралья рентабельно даже в острозасушливые годы. При низком уровне урожайности (0,50–0,70 т/га) рентабельность составляет 30–50%. В благоприятные годы ресурсы зауральского климата позволяют получать урожайность сои на уровне 1,40–1,80 т/га. При этом рентабельность повышается до 220%. The report deals with the optimization of a rotation system as well as the effect of tillage and nitrogen fertilizers on soybean productivity under the drought of the central forest-steppe in Trans-Urals. The investigation was conducted at the Kurgan Research Institute of Agriculture in 2010–2020. The aim was to test the effect of tillage, moisture and temperature on soybean yield. Drought (hydrothermal coefficient of 0.3–0.6) reduced soybean productivity by 50% in comparison to favorable conditions (hydrothermal coefficient of 1.1–1.2). Less expensive surface tillage was as effective as plowing under fertilization and weed control. In dry years application of N30 increased grain yield by 0.28 t ha-1 under medium content of soluble P. Under favorable conditions the increase amounted to 0.43 t ha-1. Substitution of wheat with soybean in the conventional four-field crop rotation system resulted in higher crop productivity, yield quality and economic effectiveness. Payback raised up to 110% under surface tillage and no fertilization and 117% — on the background of N30 versus 49 and 66% obtained under fallow and grain crop rotation. Soybean production was cost-effective even under drought. Low soybean yield (0.50–0.70 t ha-1) resulted in profitability of 30–50%. Favorable conditions of the region provided soybean yield of 1.40–1.80 t ha-1, increasing profitability up to 220%.

Multi-pesticide residue analysis by high resolution mass spectrometry in complementary matrices: wheat flour, lettuce and apple samples

2018 ◽  
Vol 10 (32) ◽  
pp. 3958-3967 ◽  
Author(s):  
Marilda Chiarello ◽  
Sidnei Moura
Keyword(s):  
Mass Spectrometry ◽  
High Resolution ◽  
Human Health ◽  
Pesticide Residue ◽  
Pesticide Residues ◽  
High Resolution Mass Spectrometry ◽  
Residue Analysis ◽  
Food Contamination ◽  
Pesticide Residue Analysis ◽  
Resolution Mass

Nowadays, food contamination with pesticide residues is prevalent, which can cause problems to human health.

scholarly journals Prochloraz residue levels in ginger submitted to Sportak 450 CE" postharvest treatment

2006 ◽  
Vol 31 (2) ◽  
pp. 59-62 ◽  
Author(s):  
L. Polese ◽  
E. F. G. Jardim ◽  
S. Navickiene ◽  
N. M. Brito ◽  
M. L. Ribeiro
Keyword(s):  
Cold Storage ◽  
Active Ingredient ◽  
Pesticide Residues ◽  
Laboratory Conditions ◽  
Postharvest Treatment ◽  
Residue Levels ◽  
Preliminary Study

A preliminary study was conducted to determine the residue levels of prochloraz in ginger samples treated with Sportak 450 CE® (prochloraz as active ingredient) under laboratory conditions and cold-storage for 15 days at 10°C and 89% RH. Sampling was carried out at 10 and 15 days after Sportak 450 CE® dip treatment (450 and 900 µg mL-1). Pesticide residues were determined by GCECD. During the study, residue levels in ginger ranged between 3.6 and 10.6 mg Kg-1 for prochloraz.

scholarly journals Comparison of Different Home/Commercial Washing Strategies for Ten Typical Pesticide Residue Removal Effects in Kumquat, Spinach and Cucumber

2019 ◽  
Vol 16 (3) ◽  
pp. 472 ◽  
Author(s):  
Yangliu Wu ◽  
Quanshun An ◽  
Dong Li ◽  
Jun Wu ◽  
Canping Pan
Keyword(s):  
Sodium Bicarbonate ◽  
Pesticide Residue ◽  
Pesticide Residues ◽  
Tap Water ◽  
Active Oxygen ◽  
Alkaline Solutions ◽  
Electrolyzed Water ◽  
Pyrethroid Pesticides ◽  
Oxygen Solution ◽  
Alkaline Electrolyzed Water

Home processing can reduce pesticide residues in agricultural products, and the common forms of treatment include washing, peeling, blanching, and cooking. In this study, the removal effects of tap water, micron calcium solution, alkaline electrolyzed water (AlEW), ozone water, active oxygen, and sodium bicarbonate on 10 typical pesticide residues in kumquat, cucumber, and spinach were investigated. The residue magnitudes were determined by chromatography–tandem mass spectrometry (GC-MS/MS, LC-MS/MS), combined with the QuEChERS pretreatment method. The model tests showed that the results of soaking and greenhouse were close. The removal effects of pesticide residues in kumquat and cucumber washing by alkaline electrolyzed water with a high pH value, micron calcium, and active oxygen solution were better than other washing solutions. The sodium bicarbonate solution, ozone water, and active oxygen solution were more effective in reducing pesticide residues in spinach than others. Active oxygen solution showed a better removal efficiency for the 10 pesticides than other treatments because of its alkalinity and oxidizability. Among the ten pesticides, pyrethroid pesticides had a higher removal rate. Additionally, chlorpyrifos were the most difficult to remove. For the majority of pesticides, the pesticide residue magnitudes showed a gradual reduction when increasing the washing time. The results indicated that alkaline solutions were effective for the reduction of pesticide residues when the washing time was longer than 15 min.

scholarly journals Model Simulasi dan Visualisasi Prediksi Potensi Hasil dan Produksi Kedelai di Jawa Timur

2016 ◽  
Vol 34 (3) ◽  
pp. 195
Author(s):  
Bambang S. Koentjoro ◽  
Imas S. Sitanggang ◽  
Abdul Karim Makarim
Keyword(s):  
Simulation Model ◽  
Systems Approach ◽  
Yield Potential ◽  
Soybean Plant ◽  
Climatic Data ◽  
Observation Data ◽  
Potential Yield ◽  
Soybean Yield ◽  
Soybean Production ◽  
Growth Simulator

<p>The prediction of national soybean yield and production could be improved its accuracy by integrating a simulation model and Geographic Information Systems (GIS). The objective of this research was to integrate a simulation model with a GIS, to predict the potential yield and production of soybean in the soybean production centers of East Java. This study was conducted from December 2013 till May 2014. The approach used in this study was a systems approach using a simulation model as solution to the problem. The model is SUCROS.SIM (Simple Universal Crops Growth Simulator), which was written using Powersim software and Spreadsheet in order to be fully integrated with GIS. The initial phase of the integration process between SUCROS.SIM and GIS are as follows (a) model validation, using input data of soybean plant assimilate partitioning, (b) climatic data (solar radiation, maximum and minimum temperatures) collected from the climatological station (BMKG) Karangploso Malang and (c) observation data of soybean yields of two varieties (Wilis and Argomulyo) at Muneng Experiment Station. It was found that the coefficients of determination of simulation model of soybean yield potential (R2) range from 0.945-0.992 and RMSE (Root Mean Square Error) values range from 0.11 to 0.25 t/ha. The average of soybean yield potential and production in 2012 at soybean production centers of East Java were 1.94 t/ha and 293,459 ton, respectively. The conclusion is SUCROS.SIM valid to be integrated with GIS.</p>

scholarly journals Prospects for sustainable intensification of soybean production in sub-Saharan Africa

2020 ◽  
Vol 15 (4) ◽  
pp. 365-371
Author(s):  
Deepayan Debnath ◽  
◽  
Suresh Babu ◽  
Keyword(s):  
Agricultural Sector ◽  
Sustainable Intensification ◽  
Sub Saharan Africa ◽  
Yield Gap ◽  
Livestock Industry ◽  
Soybean Yield ◽  
Soybean Production ◽  
Soy Meal ◽  
Sub Saharan ◽  
Ssa Countries

There is a significant soybean yield gap in sub-Saharan African (SSA) countries. Sustainable intensification of the agricultural sector to reduce such a yield gap is important. Increasing soybean productivity can meet the growing demand for food and feed when complemented with higher soy meal demand by the local livestock industry. This study performs an ex-ante economic analysis to determine the effect of higher soybean production on trade and land use within SSA countries. We find that increasing soybean yield by 50% can increase the total returns from soybean production by 186 million LC (local currency) in Ethiopia and 36 billion LC in Nigeria. We show that soybean yield growth alone is enough to boost soy oil production, as the crushing of the beans produces 18% oil and 79% meal. While increasing productivity may lead to freeing land to produce high-valued cash crops, investors will be reluctant to invest in the crushing facilities in the absence of soy meal demand by the livestock industry. Therefore, policymakers need to establish collaboration between development organisations, private companies, farmers and researchers to achieve this transformation and thereby raise agricultural productivity.

scholarly journals Estimation of Measurement Uncertainty in Pesticide Residue Analysis

2001 ◽  
Vol 84 (5) ◽  
pp. 1569-1578 ◽  
Author(s):  
Lutz Alder ◽  
Wolfagang Korth ◽  
Alan L Patey ◽  
Henk A van der Schee ◽  
Siegmar Schoeneweiss
Keyword(s):  
Pesticide Residue ◽  
Pesticide Residues ◽  
Residue Analysis ◽  
Pesticide Residue Analysis ◽  
Proficiency Tests ◽  
Entire Concentration Range ◽  
Dependent Relationship ◽  
Relative Standard ◽  
Residue Concentration ◽  
Standard Deviations

Abstract Proficiency test results from 5 countries involving 61 separate interlaboratory proficiency tests for pesticide residues were examined in this study. A total of 24 different matrixes and 869 relative standard deviations of the mean (or median) pesticide residue concentration were statistically evaluated in relation to the Horwitz function. The aim was to determine whether or not the concentration-dependent relationship described by Horwitz would hold for the much narrower range of chemicals and concentrations covered in routine pesticide residue analysis. Although for fatty (animal-derived) matrixes the variability increased as the concentration decreased in line with the Horwitz equation, the between-laboratories relative standard deviations for nonfatty matrixes (fruit, vegetables, and grain) remained at 25% over the entire concentration range of 1 μg/kg to 10 mg/kg for the pesticides studied. Given these findings, the Horwitz equation remains valid for calculating uncertainties involving pesticide residues in fatty matrixes. However, for pesticide residue analyses involving nonfatty matrixes, a constant relative standard deviation of 25% is more appropriate for calculating uncertainties, particularly when a reported result is assessed against a regulatory limit.

Nonacaricide Pesticide Residues in Honey: Analytical Methods and Levels Found

1995 ◽  
Vol 58 (11) ◽  
pp. 1271-1274 ◽  
Author(s):  
M. A. FERNÁNDEZ-MUIÑO ◽  
M. T. SANCHO ◽  
S. MUNIATEGUI ◽  
J. F. HUIDOBRO ◽  
J. SIMAL-LOZANO
Keyword(s):  
Pesticide Residue ◽  
Analytical Methods ◽  
Pesticide Residues ◽  
European Countries ◽  
Residue Levels ◽  
Set Up

A bibliographic review on honey pollution with pesticides is presented. This paper reviews the methods set up for determining pesticide residues in honey samples as well as the pesticide residue levels found in European countries.

Evaluation of an alternative fluorinated chitosan as a QuEChERS adsorbent for pesticide residue analysis in apple samples

2019 ◽  
Vol 11 (27) ◽  
pp. 3460-3466 ◽  
Author(s):  
Qilin Deng ◽  
Liping Sun ◽  
Tao Zhu
Keyword(s):  
High Performance Liquid Chromatography ◽  
Liquid Chromatography ◽  
Pesticide Residue ◽  
Pesticide Residues ◽  
High Performance ◽  
Residue Analysis ◽  
Pesticide Residue Analysis ◽  
Quechers Method

In this study, a new and green fluorinated chitosan (trifluoroethyl methacrylate-chitosan (TFEMA-CTS)) was synthesized, and the QuEChERS method was applied for the effective determination of four pesticide residues in apple samples by high performance liquid chromatography.

Polymer induced one-step interfacial self-assembly method for the fabrication of flexible, robust and free-standing SERS substrates for rapid on-site detection of pesticide residues

Nanoscale ◽  
2019 ◽  
Vol 11 (27) ◽  
pp. 12829-12836 ◽  
Author(s):  
Peng Wu ◽  
Lu-Bin Zhong ◽  
Qing Liu ◽  
Xi Zhou ◽  
Yu-Ming Zheng
Keyword(s):  
Pesticide Residue ◽  
Self Assembly ◽  
Pesticide Residues ◽  
Free Standing ◽  
Sers Substrates ◽  
Residue Detection ◽  
Assembly Method ◽  
One Step

A polymer induced one-step interfacial self-assembly method was developed to fabricate flexible, robust and free-standing SERS substrates for rapid pesticide residue detection.

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