Short‐term Impacts on Soil‐quality Assessment in Alternative Land Uses of Traditional Paddy Fields in Southern Brazil

2016 ◽  
Vol 28 (2) ◽  
pp. 534-542 ◽  
Author(s):  
Amanda Posselt Martins ◽  
Luiz Gustavo de Oliveira Denardin ◽  
José Bernardo Moraes Borin ◽  
Filipe Selau Carlos ◽  
Thiago Barros ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Soil Quality ◽  
Paddy Fields ◽  
Land Uses ◽  
Southern Brazil ◽  
Short Term ◽  
Soil Quality Assessment

Soil quality assessment under different land uses in an alpine grassland

CATENA ◽  
2018 ◽  
Vol 171 ◽  
pp. 280-287 ◽  
Author(s):  
Pujia Yu ◽  
Dongliang Han ◽  
Shiwei Liu ◽  
Xin Wen ◽  
Yingxin Huang ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Soil Quality ◽  
Alpine Grassland ◽  
Land Uses ◽  
Soil Quality Assessment

Soil Quality Assessment Through Minimum Data Set Under Different Land Uses of Submontane Punjab

2018 ◽  
Vol 49 (6) ◽  
pp. 658-674 ◽  
Author(s):  
Sumita Chandel ◽  
M. S. Hadda ◽  
A. K. Mahal
Keyword(s):  
Quality Assessment ◽  
Soil Quality ◽  
Minimum Data Set ◽  
Land Uses ◽  
Data Set ◽  
Minimum Data ◽  
Soil Quality Assessment

Relationships between physico-chemical, biological and functional approaches for soil quality assessment. A case study along a gradient of disturbance

2021 ◽  
Vol 104 ◽  
pp. 103300
Author(s):  
Pusanisa Heepngoen ◽  
Alexis Thoumazeau ◽  
Marie-Sophie Renevier ◽  
Kannika Sajjaphan ◽  
Frédéric Gay ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Soil Quality ◽  
Physico Chemical ◽  
Soil Quality Assessment

Towards solid-state, thick-film K+ and Na+ ion sensors for soil quality assessment

2020 ◽  
Author(s):  
Marios Sophocleous ◽  
Laura Contat-Rodrigo ◽  
Eduardo Garcia-Breijo ◽  
Julius Georgiou
Keyword(s):  
Solid State ◽  
Quality Assessment ◽  
Thick Film ◽  
Soil Quality ◽  
Ion Sensors ◽  
Soil Quality Assessment

Participatory soil quality assessment: The case of smallholder farmers in Ethiopian highlands

Soil Research ◽  
2004 ◽  
Vol 42 (7) ◽  
pp. 793 ◽  
Author(s):  
Teklu Erkossa ◽  
Karl Stahr ◽  
Thomas Gaiser
Keyword(s):  
Quality Assessment ◽  
Soil Quality ◽  
Crop Production ◽  
Smallholder Farmers ◽  
Soil Management ◽  
Triticum Aestivum L ◽  
Soil Functions ◽  
Yield Data ◽  
Management Interventions ◽  
Soil Quality Assessment

The study was conducted at Caffee Doonsa (08°88′N, 39°08′E; 2400 m asl), a small watershed in the central highlands of Ethiopia, in order to identify farmers’ goals of soil management and the indicators they use in selecting soils for a certain function, and to categorise the soils in different quality groups with respect to the major functions. Thirty-six male farmers of different age and wealth groups participated in a Participatory Rural Appraisal technique. They listed and prioritised 12 soil functions in the area and itemised the soil quality indicators (characteristics). Based on the indicators, the soils in the watershed were classified into 3 soil quality (SQ) groups (Abolse, Kooticha, and Carii). The SQ groups have been evaluated and ranked for the major soil functions. For crop production, Abolse was graded best, followed by Kooticha and Carii, respectively. The grain and straw yield data of wheat (Triticum aestivum L.) taken from the SQ groups confirmed the farmers claim, in that Abolse gave the highest grain yield (4573 kg/ha), followed by 4411 and 3657 kg/ha for Kooticha and Carii, respectively. Local insights should be included in systematic soil quality assessment, and in planning and implementation of various soil management interventions.

Soil Enzyme Activities for Soil Quality Assessment

2019 ◽  
pp. 239-261 ◽  
Author(s):  
Liliana Gianfreda ◽  
Maria A. Rao
Keyword(s):  
Quality Assessment ◽  
Soil Quality ◽  
Enzyme Activities ◽  
Soil Enzyme ◽  
Soil Enzyme Activities ◽  
Soil Quality Assessment

scholarly journals Comparison of Microbial Gene Diversity in Grassland Topsoil Depending on Soil Quality

2021 ◽  
Vol 11 (20) ◽  
pp. 9569
Author(s):  
Siwon Lee ◽  
Heejung Kim ◽  
Jae E Yang ◽  
Han-Sun Ryu ◽  
Jinah Moon ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Soil Quality ◽  
Surface Soil ◽  
Gene Diversity ◽  
Biological Activities ◽  
Chemical Properties ◽  
Primary Data ◽  
Reliable Index ◽  
Soil Quality Index ◽  
Soil Quality Assessment

Soil has multiple functions, including the provision of habitat to organisms, and most biological activities occur in the surface soil. Due to the negative effects of soil erosion, efforts for soil conservation are being made, including the development of a reliable index that can help assess soil quality. In this study, the physical and chemical properties and biological genes from grassland topsoil were analyzed, in order to identify surface soil organism markers that could be used as a soil quality index. Six spots of grassland topsoil were analyzed, one high-quality and five low-quality, based on a web-based soil quality assessment module. Consequently, eukaryotes and prokaryotes with different soil quality ratios were compared and examined. The following bacteria and archaea have the potential to be used in soil quality assessment: circulation of materials including nitrogen, Nitrospira spp., Candidatus Nitrososphaera, and Candidatus Nitrosotalea; biological purification, Geobacter spp.; pathogens, Burkholderia spp., Paraburkholderia spp., Pseudomonas brassicacearum, and Rhizobacter spp.; antibiotic secretion, Candidatus Udaeobacter; and material degradation Steroidobacter spp. and Rhodanobacter spp. This study provides primary data for identifying biological markers for soil quality evaluation. In the future, a wider variety of data need to be accumulated to develop a highly reliable index related to soil quality.

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