Microbial communities and enzyme activities in soils under alternative crop rotations compared to wheat–fallow for the Central Great Plains

Acosta-Martínez, Verónica; Mikha, Maysoon M.; Vigil, Merle F.

doi:10.1016/j.apsoil.2007.03.009

Cited by 151 publications

(98 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The benefits of crop rotations in maintaining soil organic matter levels was well established (Engels et al 1995, Acosta-Martínez et al 2007). The present study has suggested that intercropping and sequential cropping improved soil quality, followed by wheat-cabbage sequential cropping, and wheat-sunflower rotation cropping system led to a decrease in soil organic matter, as seen from Table 1.…”

Section: Discussionmentioning

confidence: 99%

Soil hydrolase activities and kinetic properties as affected by wheat cropping systems of Northeastern China

Zhang¹,

Chen²,

Sun³

et al. 2010

PLANT SOIL ENVIRON

View full text Add to dashboard Cite

Agricultural practices that reduce soil degradation and improve agriculture sustainability are important particularly for dry hilly land of Chaoyang County in the Liaoning Province, North-east China, where cinnamon soils are widely distributed and mainly for wheat production. The impacts of 10-year cropping systems (wheat-cabbage sequential cropping, wheat-corn intercrop, wheat-sunflower rotation, wheat-soybean rotation) on soil enzyme properties of surface-soil (0-20 cm) were studied. Total carbon, nitrogen, phosphorus and sulfur, and nine soil hydrolases related to nutrient availabilities (β-galactosidase, α-galactosidase, β-glucosidase, α-glucosidase, urease, protease, phosphomonoesterase, phosphodiesterase, arylsulphatase) and five enzymes kinetic characters were examined. Wheat-corn intercrop systems had higher total C, total N, total P and total S concentrations than wheat-soybean and wheat-sunflower rotation systems. Most test enzyme activities (α-galactosidase, β-galactosidase, α-glucosidase, β-glucosidase, urease, protease, phosphomonoesterase and arylsulphatase) showed the highest activities under wheat-corn intercropping system. Urease, protease and phosphodiesterase activities of wheat-cabbage sequential cropping system were significantly higher than two rotation systems. The maximum reaction rates of enzymes (V max ) were higher than apparent enzyme activity, which suggests larger potential activity of enzymes, while not all kinetic parameters were adaptive as soil quality indicators in dry hilly cinnamon soil.

show abstract

Section: Discussionmentioning

confidence: 99%

Soil hydrolase activities and kinetic properties as affected by wheat cropping systems of Northeastern China

Zhang¹,

Chen²,

Sun³

et al. 2010

PLANT SOIL ENVIRON

View full text Add to dashboard Cite

show abstract

“…The winter wheat-fallow rotation system allows the accumulation of soil moisture in the cultivation area during the fallow periods. Due to soil erosion potential, however, winter wheat-summer crops such as corn, sorghum, and soybean rotations are being widely planted [41][42][43]. Of these crops, corn-soybean rotations dominate in Kansas.…”

Section: Generation Of Rule-based Class Labelsmentioning

confidence: 99%

“…Winter wheat-fallow rotation has been known as the common cropping system in Kansas [41]. The winter wheat-fallow rotation system allows the accumulation of soil moisture in the cultivation area during the fallow periods.…”

Section: Generation Of Rule-based Class Labelsmentioning

confidence: 99%

Self-Learning Based Land-Cover Classification Using Sequential Class Patterns from Past Land-Cover Maps

2017

View full text Add to dashboard Cite

Abstract:To improve the accuracy of classification with a small amount of training data, this paper presents a self-learning approach that defines class labels from sequential patterns using a series of past land-cover maps. By stacking past land-cover maps, unique sequence rule information from sequential change patterns of land-covers is first generated, and a rule-based class label image is then prepared for a given time. After the most informative pixels with high uncertainty are selected from the initial classification, rule-based class labels are assigned to the selected pixels. These newly labeled pixels are added to training data, which then undergo an iterative classification process until a stopping criterion is reached. Time-series MODIS NDVI data sets and cropland data layers (CDLs) from the past five years are used for the classification of various crop types in Kansas. From the experiment results, it is found that once the rule-based labels are derived from past CDLs, the labeled informative pixels could be properly defined without analyst intervention. Regardless of different combinations of past CDLs, adding these labeled informative pixels to training data increased classification accuracy and the maximum improvement of 8.34 percentage points in overall accuracy was achieved when using three CDLs, compared to the initial classification result using a small amount of training data. Using more than three consecutive CDLs showed slightly better classification accuracy than when using two CDLs (minimum and maximum increases were 1.56 and 2.82 percentage points, respectively). From a practical viewpoint, using three or four CDLs was the best choice for this study area. Based on these experiment results, the presented approach could be applied effectively to areas with insufficient training data but access to past land-cover maps. However, further consideration should be given to select the optimal number of past land-cover maps and reduce the impact of errors of rule-based labels.

show abstract

“…Mediterranean areas (Acosta-Martinez et al, 2007). There are studies which showed the necessity of long term experiments to obtain benefits in the TOC contents.…”

Section: Resultsmentioning

confidence: 99%

“…Among these characteristics, soil enzymatic activities are proposed as early indicators to new crop incorporations in agricultural systems (Acosta-Martínez et al, 2011;Acosta-Martinez et al, 2007;Bandick and Dick, 1999). Enzyme activities have close relationships with soil microorganisms, plants, environmental effects and ecological interactions, and because of their involvements in nutrients cycles they have been suggested as soil fertility indicators (Dick and Tabatabai, 1993).…”

Section: Introductionmentioning

confidence: 99%

Biological and other soil parameters response to winter cover crops in a mediterranean irrigated system

González¹

View full text Add to dashboard Cite

Microbial communities and enzyme activities in soils under alternative crop rotations compared to wheat–fallow for the Central Great Plains

Cited by 151 publications

References 35 publications

Soil hydrolase activities and kinetic properties as affected by wheat cropping systems of Northeastern China

Soil hydrolase activities and kinetic properties as affected by wheat cropping systems of Northeastern China

Self-Learning Based Land-Cover Classification Using Sequential Class Patterns from Past Land-Cover Maps

Biological and other soil parameters response to winter cover crops in a mediterranean irrigated system

Contact Info

Product

Resources

About