Spatial variability of selected soil properties and its impact on the grain yield of oats (<i>Avena sativa</i>L.) in small fields

Lüder, Ruth-Maria Hausherr; Qin, Ruijun; Richner, Walter; Stamp, P.; Noulas, Christos

doi:10.1080/01904167.2018.1527935

Cited by 14 publications

(6 citation statements)

References 94 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…CV% results for the physicochemical parameters varied from 2.19 to 15.05 % of pH and P, respectively. Results of low CV% values for pH indicates particularly hydrogen concentrations in soil samples, similar results have also previously reported in researches for agricultural soils (Hausherr Lüder, Qin, Richner, Stamp, & Noulas, 2018;López-Granados et al, 2002). Physicochemical parameters in soil samples, especially Na, P, and EC showed moderate variability, while Ca, K, Mg, OM, and total N showed low variability.…”

Section: Descriptive Statistics Of Physicochemical Soil Properties Ansupporting

confidence: 89%

Geospatial and Multivariate Statistical Interpretations for Relationships between Physico-Chemical Properties and Heavy Metals in Some Agricultural Soils of Kalar and Quratoo Sub-Districts, East Iraq

Issa

Alshatteri

2020

EAJSE

View full text Add to dashboard Cite

In this study, ninety agricultural soil samples were collected from Kalar and Quratoo subdistricts east of Iraq. Where soil samples have been analyzed to quantify concentrations of nine soil physicochemical properties and sixteen heavy metals by using ICP-OES with other analyzing tools. Analysis results showed that significant variations exist in concentrations of the investigated parameters among sampling sites. Multivariate statistics have been conducted to identify relationships between heavy metals and soil properties. Multiple correspondence analysis MCA showed strong relationships for total nitrogen T.N. with Cu, Ni, and Hg. Agglomerative hierarchical clustering (AHC) and factorial analysis (FA) divided soil property relationships with heavy metals into three main categories in terms of heavy metals nature; naturally occurred, generated from anthropogenic sources, and of weak relationships. Spatial variation map showed that soil properties in middle parts of the study area are more impacted by heavy metals that came from anthropogenic sources. This study aids to improve the environmental protection and monitoring of agricultural lands in Iraq.

show abstract

Section: Descriptive Statistics Of Physicochemical Soil Properties Ansupporting

confidence: 89%

Geospatial and Multivariate Statistical Interpretations for Relationships between Physico-Chemical Properties and Heavy Metals in Some Agricultural Soils of Kalar and Quratoo Sub-Districts, East Iraq

Issa

Alshatteri

2020

EAJSE

View full text Add to dashboard Cite

show abstract

“…In order to apply appropriate amounts of agrochemicals, it is important therefore, to determine and map the spatial pattern of soil properties. Spatial variability of soil properties within a single field is needed to design a site-specific crop management and to delineate management zones (Bogunovic et al, 2017;Hausherr-Lüder et al, 2018). In this context, Piotrowska-Długosz et al (2016) considered spatial variability of phosphorus (P) to improve the management decision.…”

Section: How To Citementioning

confidence: 99%

Field scale variability in soil properties and silage corn yield

BİROL¹,

Günal

2022

Soil Studies

View full text Add to dashboard Cite

Field scale spatial variability of soil properties, crop quality parameters and yield are needed to evaluate the efficiency of management practices in crop production. The purpose of this study was to determine the magnitude of field variability in soil properties, silage yield of corn (Zea mays L.) varieties, and to characterize their spatial structures, and map the stated attributes. The experiment was conducted in an alluvial flood plain of lower Kazova watershed in Tokat province of Turkey. Several physical and chemical soil properties and silage corn yield were determined. Coefficient of variation (CV%) varied from 1.0% (pH) to 38.1% (P2O5) in herbicide not applied plots and from 0.9% (pH) to exchangeable Na (55.1%) in herbicide applied plots. Calcium carbonate, organic matter and clay displayed well defined spatial structure. Sand, pH and electrical conductivity (EC) showed moderate spatial dependency. However, silt, moisture content, bulk density, plant available phosphorus and potassium had weak spatial structure. Silage corn yield distribution map successfully distinguished the three corn hybrids planted. The difference in vegetation period among three corn hybrids was effective in distinguishing the location of hybrids within the field. However, the variability in each of the hybrids blocks was assumed to occur due to the difference in short range soil properties. The longest range values were obtained for silage corn yield at both herbicide applied and herbicide unapplied plots.

show abstract

“…The largest small-scale variability of G w was found in the unfertilized control plots in both years. Unfortunately, there is limited literature on the effects of N fertilization on the small-scale variation in grain yield, but there is some information on large-scale variation [28]. Crain et al [69] also report that little work has been done in winter wheat (Triticum aestivum L.) to determine the amount and scale of spatial variability that exists in grain yields.…”

Section: Small-scale Variability Of G W As Affected By Rate Of N Fertilizationmentioning

confidence: 99%

“…However, the spatial variation in crop yield, N requirement, and soil N supply has been usually investigated at large scales [25]. Very few studies have been conducted under central Europe's farming conditions where the size of fields is often small, ranging approximately between 0.5 and 5 ha [26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Small-Scale Variation in Nitrogen Use Efficiency Parameters in Winter Wheat as Affected by N Fertilization and Tillage Intensity

Lüder¹,

Qin

Richner

et al. 2020

Sustainability

Self Cite

View full text Add to dashboard Cite

Limited information exists on how tillage and nitrogen (N) fertilization affects small-scale variation in nitrogen use efficiency (NUE) and crop performance. In a two-year field study under temperate conditions, we investigated how tillage (NT, no-tillage; CT, conventional tillage) and N fertilization affected the small-scale variation in NUE and winter wheat performance (grain yield, Gw; grain protein concentration, GPC). A randomized complete block design with three replications was used. Within each tillage plot (12 × 35 m2), N rates (0, 50, 100, 150, 200, 250 kg N ha−1) were completely randomized within each of four groups of microplots (1.5 × 1.5 m2). Early-season soil mineral N (Nmin) was also monitored in both years. At rates < 150 kg N ha−1, NT was not competitive with CT in terms of Gw and NUE. Gw and aboveground plant N were not correlated with Nmin prior to application of N fertilizer. NT usually led to larger spatial heterogeneity of Nmin, Gw, and NUE. The small-scale variability of Gw, GPC, NUE, and N supply decreased with increasing N fertilization rates under both tillage systems. Significant increases in Gw and GPC were observed with increasing N rates, whereas NUE decreased slightly with increasing N rates in both NT and CT. The overall moderate spatial variation in Nmin, Gw, and NUE did not justify site-specific N fertilization in these small fields, with the exception of the stony within-plot positions, which were not responsive to rates of N > 50 kg N ha−1.

show abstract

Spatial variability of selected soil properties and its impact on the grain yield of oats (Avena sativaL.) in small fields

Cited by 14 publications

References 94 publications

Geospatial and Multivariate Statistical Interpretations for Relationships between Physico-Chemical Properties and Heavy Metals in Some Agricultural Soils of Kalar and Quratoo Sub-Districts, East Iraq

Geospatial and Multivariate Statistical Interpretations for Relationships between Physico-Chemical Properties and Heavy Metals in Some Agricultural Soils of Kalar and Quratoo Sub-Districts, East Iraq

Field scale variability in soil properties and silage corn yield

Small-Scale Variation in Nitrogen Use Efficiency Parameters in Winter Wheat as Affected by N Fertilization and Tillage Intensity

Contact Info

Product

Resources

About