Analisis Faktor-faktor Determinasi Pasar Benih Kelapa Sawit Di Indonesia

* Plant Production and Biotechnology Division, PT SMART Tbk., Jakarta** Manajemen dan Bisnis, Institut Pertanian Bogor, Bogor.Email : [email protected] development of oil palm (Elaeis guinensis Jacq.) industry in Indonesia was very fast,especially within the last decade. This rapid development was in line with the increasing of land usedfor oil palm plantation and the availability of oil palm hybrid seeds. Until 2009 the demand of oilpalm certified hybrid seeds was beyond its supply which has resulted into the USAge of the illegal oilpalm seeds with low quality. One of the strategies to solve the shortage of certified hybrid seeds wasto increase the number of seed producer in Indonesia, so that since 2009 the oil palm seeds produceddomestically was over supplied. However, the USAge of illegal oil palm seeds was still taking place.Therefore, this research was designed to analysis the determinant factors of oil palm seeds market inIndonesia based on consumer's demography profile, purpose and frequency seed purchase,costumer satisfaction level and seed compatibility. This research was based on the survey taken fromthe respondents in the regency of Siak, Kampar and Rokan Hulu, province of Riau. Selection of therespondents was used the convenience sampling method and later on by judgmental sampling. Slovinmethod was used to determine number of respondent. Data was analyzed using descriptive analysisand ordinal logistic regression analysis. The results of data analysis shown that the amount of soldseeds was depend on demographic factors, i.e. gender, education level, activity and consumer statusin company, but not age of consumers. The purpose and frequency to purchase the oil palm seedswere negatively correlated to the number of sold seeds. Moreover, the level of customer satisfactionhas significant effect on the number of sold seeds

Sensitivity of tile drainage flow and crop yield on measured and calibrated soil hydraulic properties

Process-based agricultural system models require detailed description of soil hydraulic properties that are usually not available. The objectives of this study were to evaluate the sensitivity of model simulation results to variability in measured soil hydraulic properties and to compare simulation results using measured and default soil parameters. To do so, we measured soil water retention curves and saturated soil hydraulic conductivity (Ksat) from intact soil cores taken from a long-term experimental field near Nashua, Iowa for the Kenyon–Clyde–Floyd–Readlyn soil association. The soil water retention curves could be well described using the pore size distribution index (λ). Measured λ values from undisturbed soil cores ranged from 0.04 to 0.12 and the measured Ksat values ranged from 1.8 to 14.5 cm/h. These hydraulic properties were then used to calibrate the Root Zone Water Quality Model (RZWQM) for simulating soil water content, water table, tile drain flow, and crop yield (corn and soybean) by optimizing the lateral Ksat(LKsat) and hydraulic gradient (HG) for subsurface lateral flow. The measured soil parameters provided better simulations of soil water storage, water table, and N loss in tile flow than using the default soil parameters based on soil texture classes in RZWQM. Sensitivity analyses were conducted for λ, Ksat, saturated soil water content (θs) or drainable porosity, LKsat, and HG using the Latin Hypercubic Sampling (LHS) and for LKsat and HG also using a single variable analysis. Results of sensitivity analyses showed that RZWQM-simulated yield and biomass were not sensitive to soil hydraulic properties. Simulated tile flow and N losses in tile flow were not sensitive to λ and Ksat either, but they were sensitive to LKsat and HG. Further sensitivity analyses using a single variable showed that LKsat in the tile layer was a more sensitive parameter compared to LKsat in other soil layers, and HG was the most sensitive parameter for tile flow under the experimental soil and weather conditions

Identification of Gene Related to Hard Bunch Phenotype in Oil Palm (Elaeis Guineensis Jacq.)

Molecular genetic analysis of hard bunch phenomenon in oil palm was done in order to elucidate the role of genetic factor underlying hard bunch in oil palm plantation. The aim of this study was to identify the AFLP primer combination that co-segregates with hard bunch phenotype related gene in oil palm. Molecular analysis was done by bulk segregant analysis approach. DNA was isolated from leaves of the normal and hard bunch palm. DNA from ten individual palms from each category were pooled and used as a template. A total of 56 AFLP primer combinations were selected for selection of polymorphic primer, and as a result it was found that 22 AFLP primer combinations (39.28%) were polymorphic. A total of 48 individual of palm DNA containing 24 individual for each group were further genotyped by those 22 polymorphic markers. Of these, one AFLP primer combination (E-ACC/M-CTG) was obtained as a co-segregated marker that distinguished the hard bunch DNA from the normal one. Based on the analysis of the target sequence aligned to the oil palm DNA sequences available in database, we found that our sequence has similarity with Ty-1 copia retrotransposon. This sequence distribute in all 16 linkage group of oil palm genome

Empirical analysis and prediction of nitrate loading and crop yield for corn–soybean rotations

Nitrate nitrogen losses through subsurface drainage and crop yield are determined by multiple climatic and management variables. The combined and interactive effects of these variables, however, are poorly understood. Our objective is to predict crop yield, nitrate concentration, drainage volume, and nitrate loss in subsurface drainage from a corn (Zea mays L.) and soybean (Glycine max (L.) Merr.) rotation as a function of rainfall amount, soybean yield for the year before the corn–soybean sequence being evaluated, N source, N rate, and timing of N application in northeastern Iowa, U.S.A. Ten years of data (1994–2003) from a long-term study near Nashua, Iowa were used to develop multivariate polynomial regression equations describing these variables. The regression equations described over 87, 85, 94, 76, and 95% of variation in soybean yield, corn yield, subsurface drainage, nitrate concentration, and nitrate loss in subsurface drainage, respectively. A two-year rotation under average soil, average climatic conditions, and 125 kg N/ha application was predicted to loose 29, 37, 36, and 30 kg N/ha in subsurface drainage for early-spring swine manure, fall-applied swine manure, early-spring UAN fertilizer, and late-spring split UAN fertilizer (urea ammonium nitrate), respectively. Predicted corn yields were 10.0 and 9.7 Mg/ha for the swine manure and UAN sources applied at 125 kg N/ha. Timing of application (i.e., fall or spring) did not significantly affect corn yield. These results confirm other research suggesting that manure application can result in less nitrate leaching than UAN (e.g., 29 vs. 36 kg N/ha), and that spring application reduces nitrate leaching compared to fall application (e.g., 29 vs. 37 kg N/ha). The regression equations improve our understanding of nitrate leaching; offer a simple method to quantify potential N losses from Midwestern corn–soybean rotations under the climate, soil, and management conditions of the Nashua field experiment; and are a step toward development of easy to use N management tools

Evaluating and predicting agricultural management effects under tile drainage using modified APSIM

An accurate and management sensitive simulation model for tile-drained Midwestern soils is needed to optimize the use of agricultural management practices (e.g., winter cover crops) to reduce nitrate leaching without adversely affecting corn yield. Our objectives were to enhance the Agricultural Production Systems Simulator (APSIM) for tile drainage, test the modified model for several management scenarios, and then predict nitrate leaching with and without winter wheat cover crop. Twelve years of data (1990–2001) from northeast Iowa were used for model testing. Management scenarios included continuous corn and corn–soybean rotations with single or split N applications. For 38 of 44 observations, yearly drain flow was simulated within 50 mm of observed for low drainage (\u3c 100 mm) or within 30% of observed for high drain flow. Corn yield was simulated within 1500 kg/ha for 12 of 24 observations. For 30 of 45 observations yearly nitrate-N loss in tile drains was simulated within 10 kg N/ha for low nitrate-N loss (\u3c 20 kg N/ha) or within 30% of observed for high nitrate-N loss. Several of the poor yield and nitrate-N loss predictions appear related to poor N-uptake simulations. The model accurately predicted greater corn yield under split application (140–190 kg N/ha) compared to single 110 kg N/ha application and higher drainage and nitrate-N loss under continuous corn compared to corn/soybean rotations. A winter wheat cover crop was predicted to reduce nitrate-N loss 38% (341 vs. 537 kg N/ha with and without cover) under 41-years of corn-soybean rotations and 150 kg N/ha applied to corn. These results suggest that the modified APSIM model is a promising tool to help estimate the relative effect of alternative management practices under fluctuating high water tables

Optimization of Concentration and EM4 Augmentation for Improving Bio-Gas Productivity From Jatropha Curcas Linn Capsule Husk

Most literature suggests that two-phase digestion is more efficient than single-phase. The series of two-phase digestion studies have been conducted from 2011 to 2013 at the research farm of PT Bumimas Ekapersada, West Java, Indonesia. This paper reports on a research on optimation of concentration and augmentation of EM-4 (effective microorganism-4), a local commercial decomposer, as efforts to stabilize a biogas technology which made ​​from husk capsules of Jatropha curcas Linn (DH-JcL). The studies of increasing organic loading rate (OLR) for the two-phase digestion was conducted to improve efficiency. The concentration variable studied was 1: 8 (1 part DH-JCL and 8 parts water), compared to 1: 12 as a control. The augmentation treatment is the addition of EM-4 by 5% (v/v). It was also examined the augmentation of F2-EM4 (150 times duplication of EM-4) due to cost consideration. The studies were conducted in the laboratory which using a liter and two liters of glass digester and glass wool as immobilized growth. The results of this study support the previous studies: the optimum concentration was 1: 8, EM-4 was able to increase biogas production in two-phase digestion, yet biogas production decrease at single-phase. F2-EM4's ability to support production of biogas were equivalent to that of EM-4

Corn stover harvest increases herbicide movement to subsurface drains – Root Zone Water QualityModel simulations

BACKGROUND: Crop residue removal for bioenergy production can alter soil hydrologic properties and the movement of agrochemicals to subsurface drains. The Root Zone Water Quality Model (RZWQM), previously calibrated using measured flow and atrazine concentrations in drainage from a 0.4 ha chisel-tilled plot, was used to investigate effects of 50 and 100% corn (Zea mays L.) stover harvest and the accompanying reductions in soil crust hydraulic conductivity and total macroporosity on transport of atrazine, metolachlor andmetolachlor oxanilic acid (OXA). RESULTS: The model accurately simulated field-measured metolachlor transport in drainage. A 3 year simulation indicated that 50% residue removal reduced subsurface drainage by 31% and increased atrazine and metolachlor transport in drainage 4–5-fold when surface crust conductivity and macroporosity were reduced by 25%. Based on itsmeasured sorption coefficient, approximately twofold reductions in OXA losses were simulated with residue removal. CONCLUSION: The RZWQM indicated that, if corn stover harvest reduces crust conductivity and soil macroporosity, losses of atrazine andmetolachlor in subsurface drainagewill increase owing to reduced sorption related tomorewatermoving through fewermacropores. Losses of the metolachlor degradation product OXA will decrease as a result of themore rapid movement of the parent compound into the soil

Deuterium isotope effects on 15N backbone chemical shifts in proteins

Quantum mechanical calculations are presented that predict that one-bond deuterium isotope effects on the 15N chemical shift of backbone amides of proteins, 1Δ15N(D), are sensitive to backbone conformation and hydrogen bonding. A quantitative empirical model for 1Δ15N(D) including the backbone dihedral angles, Φ and Ψ, and the hydrogen bonding geometry is presented for glycine and amino acid residues with aliphatic side chains. The effect of hydrogen bonding is rationalized in part as an electric-field effect on the first derivative of the nuclear shielding with respect to N–H bond length. Another contributing factor is the effect of increased anharmonicity of the N–H stretching vibrational state upon hydrogen bonding, which results in an altered N–H/N–D equilibrium bond length ratio. The N–H stretching anharmonicity contribution falls off with the cosine of the N–H···O bond angle. For residues with uncharged side chains a very good prediction of isotope effects can be made. Thus, for proteins with known secondary structures, 1Δ15N(D) can provide insights into hydrogen bonding geometries

Plasmodium vivax Invasion of Human Erythrocytes Inhibited by Antibodies Directed against the Duffy Binding Protein

Christopher King and colleagues found that both rabbit and human antibodies inhibited binding of rPvDBPII to the Duffy antigen N-terminal region and to Duffy-positive human erythrocytes, suggesting that a PvDBP-based vaccine may reduce blood stage Plasmodium vivax infection

Molecular epidemiology of drug-resistant malaria in western Kenya highlands

<p>Abstract</p> <p>Background</p> <p>Since the late 1980s a series of malaria epidemics has occurred in western Kenya highlands. Among the possible factors that may contribute to the highland malaria epidemics, parasite resistance to antimalarials has not been well investigated.</p> <p>Methods</p> <p>Using parasites from highland and lowland areas of western Kenya, we examined key mutations associated with <it>Plasmodium falciparum </it>resistance to sulfadoxine – pyrimethamine and chloroquine, including dihydrofolate reductase (<it>pfdhfr</it>) and dihydropteroate synthetase (<it>pfdhps</it>), chloroquine resistance transporter gene (<it>pfcrt</it>), and multi-drug resistance gene 1 (<it>pfmdr1</it>).</p> <p>Results</p> <p>We found that >70% of samples harbored 76T <it>pfcrt </it>mutations and over 80% of samples harbored quintuple mutations (51I/59R/108N <it>pfdhfr </it>and 437G/540E <it>pfdhps</it>) in both highland and lowland samples. Further, we did not detect significant difference in the frequencies of these mutations between symptomatic and asymptomatic malaria volunteers, and between highland and lowland samples.</p> <p>Conclusion</p> <p>These findings suggest that drug resistance of malaria parasites in the highlands could be contributed by the mutations and their high frequencies as found in the lowland. The results are discussed in terms of the role of drug resistance as a driving force for malaria outbreaks in the highlands.</p