Land Use and Erosional Effects on Two Ohio Alfisols:

P, Fahnestock; Lal, R.; Gf, Hall

doi:10.1300/j064v07n02_09

Cited by 36 publications

(7 citation statements)

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“…Similar research has often reported negative correlations between yield and elevation and slope, with higher yields associated with lower, flatter portions of the landscape (Changere and Lal, 1997; Fahnestock et al, 1996; Kravchenko and Bullock, 2000; McConkey et al, 1997). These studies attributed this association to water movement patterns that provided more adequate plant water supplies in flat, low‐lying areas of fields.…”

Section: Resultssupporting

confidence: 58%

Soybean Yield and Quality in Relation to Soil Properties

et al. 2012

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To optimize management, farmers require quantitative understanding of the factors aff ecting variability in soybean [Glycine max (L.) Merr.] seed yield and quality. Our objectives were to characterize spatial variation in soybean seed yield, oil concentration, and protein concentration in two south-central Minnesota fi elds over 6 yr of a corn [Zea mays L.]-soybean rotation, and to determine the infl uence of fertilizer treatments, soil chemical properties, and topography on soybean yield, oil, and protein. Soil and topographical variables were observed on 0.014-ha cells, and included Bray P1, Olsen P, K, Zn, pH, organic matter, total organic C, NH 4 -N, NO 3 -N, total N, mineralizable N, elevation, slope, curvature, fl ow accumulation, and aspect. Soybean yields consistently exhibited spatial structure. Within fi elds, spatial patterns of soybean yields were highly correlated across years, and we observed consistent relationships between yield and soil variables. Overall, soybean yield related positively to soil P and Zn and negatively to pH at all site-years. Models of soybean yield in relation to soil P and Zn indicate that in high pH soils at these sites, yield is optimized when soil P and Zn levels are higher than current extension recommendations. Protein and oil concentrations exhibited inconsistent spatial structure, and the spatial pattern of protein and oil concentrations diff ered across years. Relationships between soybean quality and soil properties were more consistent between sites within years than across years within sites, indicating that soybean quality is infl uenced by soil-climate interactions that function on a regional basis.

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Section: Resultssupporting

confidence: 58%

Soybean Yield and Quality in Relation to Soil Properties

et al. 2012

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“…However, soybean yield was not significantly correlated with slope. Many previous studies have found negative relationships between slope and crop yield (Ciha, 1984; Fahnestock et al, 1996; Changere and Lal, 1997; McConkey et al, 1997; Yang et al, 1998; Kravchenko and Bullock, 2000) due to the soil formation reasons discussed in the preceding section. In general, steep slope positions tend to have more severe erosion, which is characterized by thinner surface horizon, higher clay content, lower infiltration rate, and greater runoff resulting in lower soil productivity (Wright et al, 1990).…”

Section: Resultsmentioning

confidence: 92%

Effect of Soil and Topographic Properties on Crop Yield in a North‐Central Corn–Soybean Cropping System

2004

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elevation, slope steepness, slope aspect, and surface curvature (Ciha, 1984; Daniels et al., 1985; Stone et al., 1985; Understanding the variability of soil and landscape properties and Simmons et al., 1989;Yang et al., 1998; Kravchenko and their effect on crop yield is a critical component of site-specific management systems. The objectives of this study were to identify yield-Bullock, 2000). Field topography can have a direct effect limiting soil properties and to investigate the relationship between on crop growth and yield by redirecting and changing soil properties and topographical variables and their relationship to soil water availability and an indirect effect through its crop yield. Two corn (Zea mays L.)-soybean [Glycine max (L.) Merr.] influence on distribution of certain soil chemical and fields in Michigan were sampled, and 23 soil properties from the top physical properties such as organic matter content, base two horizons up to 50 cm deep were examined. Corn and soybean saturation, soil temperature, and particle size distribuyield data were collected from 1996 through 2001 using a combine tion (Franzmeier et al., 1969; Bennett et al., 1972; Stone yield monitor. A multivariate statistical model, principal-component et al., 1985). Walker et al. (1968) investigated a series of analysis (PCA), was used to identify important soil properties based soil properties such as A horizon thickness, distance on their potential to affect crop yield. Soil properties identified by from surface to mottles, and distance to CO 3 and Mn PCA to be important to yield and two topographic variables, elevation and slope, derived from a high-resolution digital elevation model segregations. They concluded that slope position was (DEM), were investigated for their effect on crop yield. Correlation strongly related to these soil properties. Ovalles and analysis was used to examine the relationship between soil properties Collins (1986) conducted a study on a broad selection and field topography and between crop yield and both soil and topoof soil chemical and structural properties, including pH, graphical variables. Principal-component analysis was useful in identiorganic C, total P, coarse sand, medium sand, fine sand, fying important soil variables. Slope and very fine sand content were very fine sand, total sand, silt, and clay content from two major yield-limiting factors during the study period. Other soil three topographic positions of summit, shoulder, and variables such as base saturation, pH, clay content, and elevation were backslope in north-central Florida. They demonstrated helpful in explaining yield variability. The combined effect of both that all of these selected soil properties had a significant soil and topography varied by year and explained 28 to 85% of the dependence on the topographic position of the field. A observed yield variability.study by Yang et al. (1998) showed that three topographic variables-elevation, slope, and aspect-alone can explain 15 to 35% of wheat (Triticum aestivum L.)

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“…This may be due to the organic matter removal (transportation) from the upper slope to the lower one. [41], [20] and [24] also reported the dependence of SOC content with landscape position where the increasing soil water content and fertile soil deposition at lower slope position would favor higher crop biomass production and thereby higher SOC content. According to [25] SOC content at higher slope (steep) gradients are normally lowest for different soil depths.…”

Section: Soil Organic Carbon Total Nitrogen Contents (%) and C/n Ratiomentioning

confidence: 88%

The Effects of ‘<i>Fanya juu’</i> Soil Conservation Structure on Selected Soil Physical & Chemical Properties: the Case of Goromti Watershed, Western Ethiopia

Worku¹,

Moges²,

Yimer³

2012

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Soil degradation is evident in the mountainous areas of Ethiopia, is often represented as results of human pressure. It can be improved through different Soil and Water Conservation (SWC) measures. The study was conducted in Goromti watershed, in western Ethiopia to evaluate the impact of Fanya juu structures on some soil physical & chemical properties. Cultivated fields treated by five years and ten years old fanyajuu structures were compared with non conserved cultivated land (control) and evaluated under three slope gradients. The slope gradients were; gentle (3-15%), moderately steep (15-30%) and steep slope (>30%). A total of 27 soil samples were collected from the top 20 cm soil depth replicated three times and selected physical and chemical properties were analysed in the laboratory. The results of the study showed that soil pH, soil organic carbon (SOC), total nitrogen (N) were significantly (p≤0.05) different on farms treated by the fanyajuu compared to the non-conserved plots as well as under the different slope gradients. Bulk density (Db), sand and clay fractions were significantly varied with slope gradient. Soil organic carbon and total N were higher while bulk density was lower in soil under the non-conserved fields than in fields with fanyajuu structures. But no significant difference was observed in soil bulk density, sand and clay fractions among treatments. Similarly, CEC, available K and available P, and exchangeable K + , Ca 2+ , and Mg 2+ didn't show any significant differences with respect to structures and slope gradient. The research indicates that structures could benefit farmers through improving the nutrient status better if integrated with agronomic measures by using vegetation suitable for the local environment in one hand, and properly maintained for longer period of time, on the other.

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Land Use and Erosional Effects on Two Ohio Alfisols:

Cited by 36 publications

References 0 publications

Soybean Yield and Quality in Relation to Soil Properties

Soybean Yield and Quality in Relation to Soil Properties

Effect of Soil and Topographic Properties on Crop Yield in a North‐Central Corn–Soybean Cropping System

The Effects of ‘<i>Fanya juu’</i> Soil Conservation Structure on Selected Soil Physical & Chemical Properties: the Case of Goromti Watershed, Western Ethiopia

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