scholarly journals Minimum soil nutrient guidelines for turfgrass developed from Mehlich 3 soil test results

2016 ◽  
Author(s):  
Micah S Woods ◽  
Larry J Stowell ◽  
Wendy D Gelernter
Keyword(s):  
Random Sample ◽  
Probability Distributions ◽  
Soil Nutrient ◽  
Common Species ◽  
Soil Test ◽  
Test Results ◽  
High Quality ◽  
Indirect Approach ◽  
Repeated Calls ◽  
Fertilizer Recommendations

Conventional soil nutrient guidelines are higher than needed to produce high quality turfgrass. Although there have been repeated calls for more turfgrass soil calibration research, it is not practical to conduct conventional soil test calibrations for this global crop. Turfgrass comprises more than 10 common species and hundreds of cultivars, grown in a multitude of soils and climates. We took an indirect approach to identify universally applicable guidelines by studying a large sample of 16,163 Mehlich 3 soil test results collected from good-performing turf. We modeled a subset (n = 3,683) of those results, specifically from soils with low nutrient holding capacity, as 2 parameter log-logistic distributions. We take these continuous probability distributions to be representative of soils in which good-performing turf is being produced. The minimum levels for sustainable nutrition (MLSN) guidelines were selected as the value \(x\) at which the probability of a random sample \(X\) drawn from the distribution being less than or equal to \(x\) is \( 0.1\). That is, we identified the level \(x\) where \(P (X ≤ x) = 0.1\). We propose the MLSN guidelines as minimum levels for all turfgrass sites, with fertilizer recommendations suggested as the quantity sufficient to prevent each element from dropping below the MLSN guideline. The MLSN guidelines from the Mehlich 3 data used in this paper are, for K, P, Ca, Mg, and S respectively, 37, 21, 348, 47, and 7 mg kg-1.

scholarly journals Minimum soil nutrient guidelines for turfgrass developed from Mehlich 3 soil test results

2016 ◽  
Author(s):  
Micah S Woods ◽  
Larry J Stowell ◽  
Wendy D Gelernter
Keyword(s):  
Random Sample ◽  
Probability Distributions ◽  
Soil Nutrient ◽  
Common Species ◽  
Soil Test ◽  
Test Results ◽  
High Quality ◽  
Indirect Approach ◽  
Repeated Calls ◽  
Fertilizer Recommendations

Conventional soil nutrient guidelines are higher than needed to produce high quality turfgrass. Although there have been repeated calls for more turfgrass soil calibration research, it is not practical to conduct conventional soil test calibrations for this global crop. Turfgrass comprises more than 10 common species and hundreds of cultivars, grown in a multitude of soils and climates. We took an indirect approach to identify universally applicable guidelines by studying a large sample of 16,163 Mehlich 3 soil test results collected from good-performing turf. We modeled a subset (n = 3,683) of those results, specifically from soils with low nutrient holding capacity, as 2 parameter log-logistic distributions. We take these continuous probability distributions to be representative of soils in which good-performing turf is being produced. The minimum levels for sustainable nutrition (MLSN) guidelines were selected as the value \(x\) at which the probability of a random sample \(X\) drawn from the distribution being less than or equal to \(x\) is \( 0.1\). That is, we identified the level \(x\) where \(P (X ≤ x) = 0.1\). We propose the MLSN guidelines as minimum levels for all turfgrass sites, with fertilizer recommendations suggested as the quantity sufficient to prevent each element from dropping below the MLSN guideline. The MLSN guidelines from the Mehlich 3 data used in this paper are, for K, P, Ca, Mg, and S respectively, 37, 21, 348, 47, and 7 mg kg-1.

scholarly journals Rekomendasi Pemupukan Fosfor dan Potasium berdasarkan Analisis Hara Tanah pada Tanaman Sayuran

2014 ◽  
Vol 1 (2) ◽  
pp. 81
Author(s):  
Lutfi Izhar ◽  
Anas D. Susila
Keyword(s):  
Soil Type ◽  
Agricultural Development ◽  
Soil Analysis ◽  
Soil Nutrient ◽  
Nutrient Status ◽  
Vegetable Crops ◽  
Soil P ◽  
Fertilizer Recommendation ◽  
Fertilizer Recommendations ◽  
Low K

<p>ABSTRACT</p><p><br />Vegetables are important agricultural commodities. Productivity of vegetables in Indonesia is still low. One effort that can be done is an application of specific fertilizer recommendations. Fertilizer recommendation based on soil analysis is still rarely for vegetable crops and need further development. The purpose of this paper is to describe some fertilizer recommendations based on soil analysis for vegetable crops. Three stages to consider in the assessment of the research such as soil incubation, correlation test, calibration test and fertilizer <br />recommendation statue. Application all this stages of soil method recommendation in Indonesia is still not widely applied. Two researches which were completed until the entire stage has been done for yard long beans and <br />tomatoes. Recommendations for tomatoes on Inceptisols soil type with very low nutrient status of soil K was 180 kg K2O ha- 1, a low K soil nutrient status was 131.4 kg K2O ha-1, soil K nutrient status was 82.2 kg K 2O ha-1. Yard <br />long bean that planted on Ultisol soil type with low soil P nutrient status was recommended by an application of 185.8 kg P2O5 ha-1, medium soil P nutrient status was added 174.9 kg P2O5 ha-1. Development of fertilizer recommendation based on soil testing to support agricultural development in Indonesia still has some problems and need some strategies for further research, application and dissemination in the future.</p><p>Key words: vegetables, soil test, fertilizer recommendation</p>

scholarly journals Online Fertilizer Recommendation System (OFRS): A Step Towards Precision Agriculture And Optimized Fertilizer Usage By Smallholder Farmers In Bangladesh

2020 ◽  
Vol 1 (4) ◽  
Author(s):  
M. A. Hossain ◽  
M. N. A. Siddique
Keyword(s):  
Precision Agriculture ◽  
Recommendation System ◽  
Smallholder Farmers ◽  
Fertilizer Application ◽  
Soil Test ◽  
Total Production ◽  
Soil Database ◽  
Fertilizer Recommendation ◽  
Fertilizer Recommendations ◽  
Input Cost

The recent progression and Green Revolution (approx. between the 1990s-2010s) in agriculture of Bangladesh resulted in an increase of total production despite yield-gap to ensure food security. But agriculture in Bangladesh is still backed-up by higher use of inputs (agrochemicals-fertilizers, pesticides; modern varieties, irrigation etc.) and inversion tillage. This conventional agrochemical-based smallholder agriculture may lead to soil and environmental degradation, soil acidification, and a decline in soil fertility. Therefore, it is significant to optimize input application in intensive agriculture, especially fertilizers. This paper introduces the potential online facilities of generating online fertilizer recommendations for smallholder farmers in Bangladesh to ensure proper usage of fertilizers and enable sustainable agricultural production. We also highlighted how the usage of fertilizers increased with an increase in total production over time. But the sustainability of production in the years to come still remain challenging. With the aim of sustainable crop production, reduction in the misuse of fertilizers and reduction of input cost by optimizing the present pattern of excessive fertilizer application, the Soil Resource Development Institute (SRDI) provides location-specific fertilizer recommendation through both the manual and soil test based interpretation of plant nutrients: soil database in Upzazila Nirdeshika and static laboratory soil analysis. Recently, SRDI developed web-based software named Online Fertilizer Recommendation System (OFRS). The system is capable of generating location-specific fertilizer recommendations for selected crops by analyzing the national soil database developed by this governmental institute. The software requires farmer field location, respective soil and land type, and crop type and variety information to generate crop-specific instant fertilizer recommendation. It was observed that by using fertilizer according to the recommended dose calculated on the basis of soil test values, farmers could harvest approx. 7-22% higher yield of different crops over usual farmers practice. If this system can be popularized and disseminated by effective agricultural extension, this would immensely contribute to the promotion of precision agriculture, input cost reduction and it would certainly enable us to optimize fertilizer application by the smallholder farmers in Bangladesh.

scholarly journals EFFECT OF CALCIUM SULFOALUMINATE ADDITIVE ON LINEAR DEFORMATION AT DIFFERENT HUMIDITY AND STRENGTH OF CEMENT MORTARS

2020 ◽  
Author(s):  
Kadhim Abdulwahid Al-Musawi ◽  
Kottayil Bindhu Abraham ◽  
Tatsiana Potses ◽  
Sergey Leonovich ◽  
Natallia Kalinouskaya ◽  
...  
Keyword(s):  
Bending Strength ◽  
High Humidity ◽  
Test Results ◽  
High Quality ◽  
Linear Deformation ◽  
Calcium Sulfoaluminate ◽  
Environmental Humidity ◽  
Cement Mortars ◽  
Under Construction ◽  
Very High

The effect of calcium sulfoaluminate additives (CSA) on the compression and bending strength of mortar, as well as linear deformation of prism samples at different environmental humidity was studied. Test results indicate that bending strength of mortars with CSA and the referent at the age of 28 days are practically equal. Compressive strength of mortars with CSA reduced by 20 ... 23% for all dosages of CSA. Relative linear deformations depend on the humidity of the environment. At a humidity of 100%, the relative linear deformations are positive and the expansion increases with increasing dosage of the expanding additive. When hardening in dry air at a humidity of 55%, the greatest shrinkage deformations were for mortars with CSA. We can conclude that the expanding effect of CSA is fully manifested at high humidity, i.e. under construction conditions, this means very high-quality moisture care for concrete structures.

Validation of Soil‐Test‐Based Phosphorus and Potassium Fertilizer Recommendations for Flood‐Irrigated Rice

2019 ◽  
Vol 111 (5) ◽  
pp. 2523-2535 ◽  
Author(s):  
Matthew S. Fryer ◽  
Nathan A. Slaton ◽  
Trenton L. Roberts ◽  
Jarrod T. Hardke ◽  
Richard J. Norman
Keyword(s):  
Soil Test ◽  
Potassium Fertilizer ◽  
Irrigated Rice ◽  
Fertilizer Recommendations ◽  
Phosphorus And Potassium

Access Control for Healthcare

2011 ◽  
pp. 7-14
Author(s):  
Yifeng Shen
Keyword(s):  
Information Technology ◽  
Information Systems ◽  
Medical Information ◽  
Rapid Development ◽  
Healthcare Providers ◽  
Healthcare Services ◽  
Test Results ◽  
High Quality ◽  
Quality Healthcare ◽  
Administrative Services

Thanks to the rapid development in the field of information technology, healthcare providers rely more and more on information systems to deliver professional and administrative services. There are high demands for those information systems that provide timely and accurate patient medical information. High-quality healthcare services depend on the ability of the healthcare provider to readily access the information such as a patient’s test results and treatment notes. Failure to access this information may delay diagnosis, resulting in improper treatment and rising costs (Rind et al., 1997).

Field-scale variability of soil test phosphorus and other nutrients in grasslands under long-term agricultural managements

Soil Research ◽  
2013 ◽  
Vol 51 (6) ◽  
pp. 503 ◽  
Author(s):  
Weijun Fu ◽  
Keli Zhao ◽  
Peikun Jiang ◽  
Zhengqian Ye ◽  
Hubert Tunney ◽  
...  
Keyword(s):  
Soil Nutrients ◽  
Poultry Litter ◽  
Soil Nutrient ◽  
Statistical Correlation ◽  
Soil Test ◽  
Field Scale ◽  
The North ◽  
Positive Correlations ◽  
Soil Test Phosphorus

Field-scale variation of soil nutrients in grassland is becoming important because of the use of soil-nutrient information as a basis for policies such as the recently introduced EU Nitrates Directive. This study investigates the field-scale variability of soil-test phosphorus (STP) and other nutrients in two grasslands with a long-term history of poultry litter application. Two fields (field 1 for silage and field 2 for grazing pasture) were selected, and soil samples were collected based on 12 m by 12 m (field 1) and 15 m by 15 m (field 2) grids. Data were analysed using conventional statistics, geostatistics, and a geographic information system (GIS). In field 1, STP values ranged from 12.4 to 90 mg L–1 (average 38.5 mg L–1). In field 2, STP values ranged from 4.3 to 130.0 mg L–1 (average 21.4 mg L–1). Attention should be paid to long-term poultry application, as the average STP values in both fields were much greater than the recommended agronomic optimum STP status in Ireland of 8 mg L–1. Coefficient of variation values of soil nutrients in field 2 were much higher than those in field 1. Log-transformation and Box–Cox transformation were applied to achieve normality. Statistically significant (P < 0.01), positive correlations between P and other nutrients were found in both fields. Exponential and spherical models were fitted to the experimental variograms of STP in fields 1 and 2, respectively. Compared with the counterparts in field 1, soil nutrients in field 2 had larger ‘nugget-to-sill’ values, revealing that sheep grazing could weaken the spatial auto-correlation of soil nutrients. A grid of 60 m by 60 m was recommended for soil sampling in grassland, based on this study. High STP concentrations in field 1 were in the north-eastern side, which was related to uneven poultry litter application. Strong spatial similarity of low STP, magnesium, and pH values in their spatial distribution were found in field 2, confirming their strong statistical correlation.

LABORATORY DETERMINATION OF FIELD BULK DENSITY FOR IMPROVING FERTILIZER RECOMMENDATIONS OF ORGANIC SOILS

1981 ◽  
Vol 61 (3) ◽  
pp. 475-482 ◽  
Author(s):  
W. VAN LIEROP
Keyword(s):  
Bulk Density ◽  
Accurate Method ◽  
Organic Soils ◽  
Soil Test ◽  
Regression Equations ◽  
Exponential Relationship ◽  
Fertilizer Recommendations ◽  
Regression Techniques ◽  
Soil Fertilizer

The objectives of this study were to find ways to improve the accuracy of soil fertilizer recommendations by taking into account the variation in bulk density (BD) of organic soils. To achieve this end, field BD values of 30 organic soils (0.100–0.504 g/mL) were used to evaluate methods of measuring the BD in the laboratory by means of correlation and regression techniques. A simple and rapid procedure using the reconstituted BD of field-moist soils was the most accurate means of determining the average field BD in the laboratory, as indicated by the correlation coefficient obtained between the BD values obtained by this method and those in the field (r = 0.975**). The second most accurate method relied upon the exponential relationship between the water content of soils and their BD (R2 = 91.1 %). The least exact method of correcting for BD variations was to scoop a volume of dried (65 °C) and sieved (2-mm) soils, as is done in some soil test laboratories. Although the values obtained by this method were related (r = 0.502**) to the field data, drying caused shrinkage of soils, thereby increasing their BD about twofold. Soil pH (r = 0.716**) and percentage ash contents (r = 0.851**) were also related to the field BD of soils. These tests could be used to estimate the BD of soils when the preferred method cannot be used. Regression equations are provided for relating appropriate test values to the BD of organic soils.

Validation of Soil-Test-Based Phosphorus and Potassium Fertilizer Recommendations for Irrigated Soybean

2019 ◽  
Vol 83 (3) ◽  
pp. 825-837 ◽  
Author(s):  
Matthew S. Fryer ◽  
Nathan A. Slaton ◽  
Trenton L. Roberts ◽  
W. Jeremy Ross
Keyword(s):  
Soil Test ◽  
Potassium Fertilizer ◽  
Fertilizer Recommendations ◽  
Phosphorus And Potassium
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