Classical Statistical and Geostatistical Analysis of Soil Nitrate-N Spatial Variability

Author(s):  
G. W. Hergert ◽  
R. B. Ferguson ◽  
C. A. Shapiro ◽  
E. J. Penas ◽  
F. B. Anderson
2010 ◽  
Vol 44-45 (2010-2011) ◽  
pp. 11-17
Author(s):  
Michael Aide ◽  
Indi Braden ◽  
Neil Hermann ◽  
David Mauk ◽  
Wesley Mueller ◽  
...  

Abstract Controlled subsurface drainage irrigation systems promote crop productivity; however, these land management systems also allow an efficient pathway for the transport of elements from soils to surface water resources. The nitrate and macro-element effluent concentrations from tile-drainage involving a 40 ha controlled subsurface drainage irrigation system are described and compared to soil nitrate availability. Soil nitrate concentrations generally show an increase immediately after soil nitrogen fertilization practices and are sufficiently abundant to promote their transport from the soil resource to the tile-drain effluent waters. The data indicates that: (1) the transport of nitrate-N in tile-drain effluent waters is appreciable; (2) denitrification pathways effectively reduce a portion of the soil nitrate-N when the controlled drainage system establishes winter-early spring anoxic soil conditions, and (3) the best strategy for reducing nitrate-N concentrations in tile-drain effluent waters is adjusting N fertilization rates and the timing of their application. The development of bioreactors for simulating wetland conditions may further limit nitrate concentrations in surface waters because of soil drainage.


Nativa ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 536-543
Author(s):  
Evandro Gelain ◽  
Eduardo Leonel Bottega ◽  
Anamari Viegas de Araujo Motomiya ◽  
Zanandra Boff de Oliveira

O emprego de técnicas de agricultura de precisão, associadas a análises geoestatísticas, possibilita mapear a variabilidade espacial existente em um campo de produção. O conhecimento da variabilidade é importante ferramenta na tomada de decisões quanto ao manejo da área, uma vez que possibilita que este seja realizado de forma localizada. O estudo foi realizado em um talhão da Fazenda Planalto, localizada no município de Maracaju – MS, com o objetivo de avaliar a variabilidade espacial e correlação entre os atributos químicos e granulométricos do solo e a produtividade do milho e da soja. Foi utilizada uma grade amostral contendo 187 pontos, utilizando-se 10 amostras simples de solo por ponto amostral. Não foi detectado dependência espacial para o cálcio, alumínio, acidez potencial, soma de bases, ferro e zinco. As melhores estimativas em locais não amostrados foram obtidos para a areia e argila. A produtividade da soja apresentou forte dependência espacial e se correlacionou positivamente de forma forte com o fósforo e moderada com o magnésio. Palavras-chave: Latossolo; dependência espacial; Glycine max; Zea mays.   Spatial variability and correlation of chemicals and physical soil attributes with corn and soybean yield   ABSTRACT: The use of precision farming techniques, associated with geostatistical analysis, makes it possible to map the spatial variability in a production field. The knowledge of variability is an important tool in decision making regarding the management of the area, since it allows it to be carried out in a localized manner. The study was carried out in a plot of Fazenda Planalto, located in the municipality of Maracaju - MS, with the objective of evaluating the spatial variability and correlation between the chemical and granulometric attributes of the soil and the corn and soybeans yield. A sampling grid containing 187 points was used, using 10 simple soil samples per sample point. No spatial dependence was detected for calcium, aluminum, potential acidity, sum of bases, iron and zinc. The best estimates in unsampled locations were obtained for sand and clay. The soybeans yield showed strong spatial dependence and was positively correlated strongly with phosphorus and moderately with magnesium. Keywords: Oxisol; spatial dependence; Glycine max; Zea mays.


HortScience ◽  
1996 ◽  
Vol 31 (4) ◽  
pp. 613e-614
Author(s):  
Laura Guazzelli ◽  
Frederick S. Davies ◽  
James J. Ferguson

Our objectives were to determine if leaf N concentration in citrus nursery trees affected subsequent growth responses to fertilization for the first 2 years after planting and how N fertilizer rate affected soil nitrate-N concentration. `Hamlin' orange [Citrus sinensis (L.) Osb.] trees on `Swingle' citrumelo rootstock [C. paradisi Macf. × P. trifoliata (L.) Raf.] were purchased from commercial nurseries and grown in the greenhouse at differing N rates. Three to five months later trees were separated into three groups (low, medium, high) based on leaf N concentration and planted in the field in Oct. 1992 (Expt. 1) or Apr. 1993 (Expt. 2). Trees were fertilized with granular material (8N–2.6P–6.6K) with N at 0 to 0.34 kg/tree yearly. Soil nitrate-N levels were also determined in Expt. 2. Preplant leaf N concentration in the nursery varied from 1.4% to 4.1% but had no effect on trunk diameter, height, shoot growth, and number or dry weight in year 1 (Expt. 1) or years 1 and 2 (Expt. 2) in the field. Similarly, N fertilizer rate had no effect on growth during year 1 in the field. However, trunk diameter increased with increasing N rate in year 2 and reached a maximum with N at 0.17 kg/tree yearly. Shoot number during the second growth flush in year 2 was much lower for nonfertilized vs. fertilized trees. Leaf N concentrations increased during the season for trees with initially low levels even for trees receiving low fertilizer rates. Soil nitrate-N levels were highest at the 0.34-kg rate, and lowest at the 0.11-kg rate. Nitrate-N levels decreased rapidly in the root zone within 2 to 3 weeks of fertilizing.


2020 ◽  
pp. 1-4
Author(s):  
S.J. Crittenden ◽  
J. Fitzmaurice ◽  
M. Lewis ◽  
K. Reid ◽  
B. Irvine

A total of 344 soil cores were taken in annually cropped fields of Alberta, Saskatchewan, Manitoba, and Ontario from 2011 to 2013 in areas where the field shapes, or obstacles within fields, required the driving pattern of farm operations to overlap. Soil nitrate-N concentrations in overlapping areas were 60% greater, soil Olsen-P concentrations were 23% greater, and pH was 0.5 units greater at 0–15 cm depth compared with non-overlapping areas, suggesting smaller nutrient use efficiency and potential for greater nutrient loss.


1997 ◽  
Vol 48 (8) ◽  
pp. 1187 ◽  
Author(s):  
I. C. R. Holford ◽  
J. F. Holland ◽  
A. J. Good ◽  
C. Leckie

Sorghum fertiliser experiments at 40 sites on the north-western slopes andplains of New South Wales demonstrated that many soils are severely deficientin nitrogen (N), but most yield responses to fertiliser N occurred on sites inthe southern part of the region. Grain yields responded to fertiliser in fewerthan half of the experiments but protein concentrations responded in about75%.There were 4 distinct types of protein response curve, and the type of curvewas related to the degree of N deficiency. In the most deficient experiments(mean protein 6·1% or less), response curves were convex to thex -axis or linear; at intermediate deficiency (mean protein7·2%), response curves were sigmoid; and at low deficiency (meanprotein 9·7%), response curves were Mitscherlich. Yield responsenever occurred where grain protein was >10%.Maximum grain yield responses and amounts of fertiliser N for maximum profit,estimated by fitting the Mitscherlich equation to response curves, weresignificantly correlated with soil nitrate N levels at various depths in thesouthern experiments, but not in the northern experiments. This difference inN responses appeared to be caused by lower rainfall and higher soil N in mostof the northern experiments. Nitrate-N levels in soils sampled to 15 or 30 cmdepth were better correlated with yield response ( r> 0·81) and fertiliser requirement (r >0·72) than N levels to deeper depths.There was little or no fertiliser N recovery in the grain in the northern experiments but substantial recovery in the south where it was generallygreater than recovery by wheat in earlier experiments in the same region.Fertiliser requirement in relation to soil nitrate-N levels was lower thanthat of these wheat experiments. This was attributed to mid-spring soilsampling for sorghum which underestimates the soil N available to the sorghum


1991 ◽  
Vol 31 (2) ◽  
pp. 237 ◽  
Author(s):  
IJ Rochester ◽  
GA Constable ◽  
DA MacLeod

An annual cyclic pattern of nitrate accumulation and dissipation was identified in a fallow grey clay. The pattern was regular during the 3 years studied, with maximum values of nitrate nitrogen (N) (to 34 mg nitrate-N/kg) occurring in late autumn (May) and minimal values (to 7 mg nitrate-N/kg) in late winter (August). Ammonium levels were low throughout the 3 years, except for a short period following the incorporation of crop residues. The cycle of soil nitrate lagged behind the annual temperature cycle by about 3 months. Multiple regression using temperature and soil water deficit explained 68% of the variation in nitrate-N. The identification of this pattern of soil nitrate may now enable the prediction of September soil nitrate (currently used to estimate N fertiliser requirement for the forthcoming crop) from soil sampled up to 3 months earlier. Laboratory incubation studies confirmed temperature and soil water as highly significant in determining the soil's mineral N status. By applying the temperature and soil water deficits which prevailed during the field observations to the regression equation derived from the laboratory data, a similar fluctuating pattern of soil nitrate emerged. Incubation of intact field cores under low temperatures produced a net N immobilisation and high temperatures produced a net N mineralisation. Immobilisation and remineralisation of N by the soil biomass (rather than leaching or denitrification) were responsible for the oscillations in nitrate-N, and these processes were largely driven by temperature and soil water status.


2013 ◽  
Vol 38 (6) ◽  
pp. 1107-1114 ◽  
Author(s):  
Bo FENG ◽  
Ling-An KONG ◽  
Bin ZHANG ◽  
Ji-Sheng SI ◽  
Sheng-Dong LI ◽  
...  

2008 ◽  
Vol 82 (2) ◽  
pp. 187-196 ◽  
Author(s):  
Zhenling Cui ◽  
Fusuo Zhang ◽  
Yuxin Miao ◽  
Qinping Sun ◽  
Fei Li ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document