scholarly journals Trends in some soil test data over a 14‐year period in New Zealand

2004 ◽  
Vol 47 (2) ◽  
pp. 155-166 ◽  
Author(s):  
D. M. Wheeler ◽  
G. P. Sparling ◽  
A. H. C. Roberts
Keyword(s):  

2007 ◽  
Vol 8 ◽  
pp. 8-19 ◽  
Author(s):  
Hari Dahal

Soil test data were used in factor analysis employing the Principal Component Analysis technique for the reduction and summarization of soil variables. Principal component analysis was found to be highly suggestive in analyzing soil test data on which a rational fertilizer nutrients recommendation can be made for a sustainable soil fertility management reign. The Journal of AGRICULTURE AND ENVIRONMENT Vol. 8, 2007, pp. 8-19



1970 ◽  
Vol 50 (1) ◽  
pp. 1-7 ◽  
Author(s):  
D. R. CAMERON ◽  
J. A. TOOGOOD

A circular mapping function based on the principle of a weighted moving average was applied in a computer program to the available Alberta soil test data, and nutrient levels of soils in the province were plotted and contoured. The finished maps displayed clearly marked trends. Variation in nitrate-nitrogen levels for samples from fallow and cropped land was readily seen, but correlation with soil zone was not well marked. Available phosphorus levels were relatively higher on the Solonetzic soils in central Alberta. Exchangeable potassium levels appeared to be closely related to the soil zones of Alberta. The mapped pH values presented the least variable picture. The electronic computer was essential for the mapping of data as reported in this study, and future applications of the computer to other soil data appear to be unlimited.



Author(s):  
P.J. Butler ◽  
T.J. Johnston

In the area from Taupo to Auckland, and North Island wide, BOP Fertiliser Ltd, Mt Maunganui, supplies some 700 000 t of fertiliser annually. In the years 1994/95, 1995/96 and 1996/97 total fertiliser sales were 668 900, 700 700 and 678 100 respectively. BOP Fertiliser supplied fertiliser to approximately 50% of New Zealand dairy farms. Nitrogen was applied to 91% of dairy farms at an average annual input of 58 kg N/ha. Less than 4% of farms applying N received >200 kg N/ha. Some 23% of dairy farms received less than maintenance P (30 kg/ha). A review of soil fertility levels on dairy farms in 1996/97 using soil test results from the Soil Fertility Service laboratories at Ruakura suggests some 38% of Olsen P values on dairy farms were below optimum (



1986 ◽  
Vol 2 (3) ◽  
pp. 131-140 ◽  
Author(s):  
J.H. Atkinson ◽  
D. Richardson ◽  
R.I. Woods


2013 ◽  
Vol 477-478 ◽  
pp. 1105-1108
Author(s):  
Tong Zhi Chen ◽  
Xiao Ming Yuan

On February 22, 2011 a MW6.2 earthquake struck Christchurch in New Zealand, which is the first time that liquefaction acts as the main cause of damage since there is survey record of historical earthquakes. On the basis of field investigation and in-situ test data, domestic and foreign liquefaction evaluation methods based on CPT including Chinese code, Robertson and Olsen methods are examined and their applicability and reliability are assessed. Analysis shows that the method adopted in Chinese code is more dangerous, whose success rates of liquefaction and non-liquefaction evaluation are 70% and 94%.The other two methods abroad are severely conservative, for the success rates of liquefaction and non-liquefaction evaluation of Robertson method are 100% and 40%, and Olsen method 100% and 11% respectively. Liquefaction evaluation methods need further research to be improved.



1987 ◽  
Vol 30 (3) ◽  
pp. 387-394 ◽  
Author(s):  
W. M. H. Saunders ◽  
C. G. Sherrell ◽  
I. M. Gravett
Keyword(s):  


Author(s):  
U Bagavathi Ammal ◽  
K Coumaravel ◽  
R Sankar ◽  
Pradip Dey

To develop fertilizer prescription equations based on soil test crop response (STCR) approach for rice-rice cropping sequence, trials were conducted at farmer’s field in Karikalampakkam village, U.T. of Puducherry, during 2015-16. Soil test data, yield and nutrient uptake by successive crops were recorded to calculate four basic parameters viz. nutrient required to produce one quintal of rice, contribution of nutrients from fertilizers, contribution of nutrients from soil and contribution of nutrients from FYM used in developing STCR based fertilizer prescription equations. The per cent nutrient contribution of nutrients from soil (CS), fertilizer ( CF) and FYM (CFYM) were found to be 19.15, 45.90 and 23.27 for N, 12.13,40.16 and 26.98 for P2O5 and 13.76, 79.64 and 41.07 for K2O respectively for rice cv. White ponni. The same for the rice cv.ADT 45 were 13.48, 40.46 and 34.26 for N, 15.81, 44.64 and 19.89 for P2O5 and 10.48, 58.64 and 41.51 for K2O respectively. Based on fertilizer prescription equations and nomograms formulated for a range of soil test values and desired yield target for the cropping sequence. It was revealed that under the treatment NPK + FYM @ 12.5 t ha- 1 , 47, 29 and 34 kg ha- 1 for rice cv.White ponni and 41 , 22 and 27 kg ha- 1 for rice cv.ADT 45 of fertilizer N , P2O5 and K2O, respectively could be saved for attaining target yield of 70 q ha- 1 compared to NPK fertilizers alone.



1997 ◽  
Vol 37 (8) ◽  
pp. 861 ◽  
Author(s):  
N. S. Bolan ◽  
M. J. Hedley

Summary. There has been over 50 years of use and research into the agronomic effectiveness of reactive phosphate rocks (RPR) directly applied to New Zealand pastures. In recent years RPR-carrying fertilisers made up about 16% of phosphatic fertiliser sales in the North Island of New Zealand. Most is applied, as maintenance fertiliser, to hill country sheep and beef farms. Use has been recommended on soils with pH <6 and in annual rainfall regimes >800 mm. This is based on the poor performance of Sechura phosphate rock in summer dry areas receiving <750 mm of rainfall annually. Phosphate rocks that have more than 30% of their total phosphate soluble in 2% citric acid have been classed as ‘reactive’ and suitable for direct application. More recent research indicates that extraction with 2% formic acid, or a dissolution test performed in a simulated soil solution at a fixed pH, will provide improved measures of RPR quality. Field trials, undertaken by the New Zealand Ministry of Agriculture and Fisheries [MAF; now AgResearch Crown Research Institute (CRI)] and others, to evaluate the relative agronomic effectiveness of RPR versus soluble P fertilisers in adequate to marginally P-deficient soils have proven to be a painstaking task. Long periods (3–6 years) of fertiliser withdrawal were required for pasture growth on some soils to become significantly responsive to applied P. Only then did differences between P sources become significant. This problem has encouraged efforts to relate measurements of the extent of RPR dissolution in soils to their agronomic effectiveness. Three main modelling approaches have been used to achieve this objective: Kirk and Nye (1986a, 1986b, 1986c); Sinclair et al. (1993a); and Watkinson (1994b). These models are reviewed and their explanation of RPR dissolution in mowing trials tested. Components of each model have then been combined to produce models to predict the agronomic effectiveness of RPR. The development of P tests for soils receiving RPR-containing fertilisers is reviewed. Separate Olsen P test–yield response calibration curves are required for soils fertilised with soluble P fertilisers and soils fertilised with sparingly soluble P sources or soluble P in the presence of heavy lime applications. Whereas alkaline P tests such as Olsen or Colwell underestimate the amount of plant-available P in these soils, acid P tests such as Bray 1 are likely to overestimate the available P. Tests involving cation and anion exchange resin membranes appear to be more appropriate for soils with unknown histories of soluble P and RPR use and may permit the use of single calibration curves. Trends observed in Olsen P soil test values, from farms on the North Island of New Zealand that have a history (3–15 years) of RPR use are presented. A predictive dissolution model is used to explain these trends but it is evident that spatial and temporal variation in soil test results on farmers’ paddocks will be a major constraint to the precision to which this or similar models may be used. The model, however, may provide the basis for sound advice on the strategic use of RPR for direct application to New Zealand pasture soils. It may prove useful in explaining the variation in RPR effectiveness in a wider range of climates and soils.



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