Developing a sustainable agro-system for central Nepal using reduced tillage and straw mulching

Atreya, Kishor; Sharma, Subodh; Bajracharya, Roshan Man; Rajbhandari, N.P.

doi:10.1016/j.jenvman.2007.03.017

Cited by 51 publications

(29 citation statements)

References 28 publications

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“…The spatial distribution of soil nutrients under agricultural systems is affected by natural conditions as well as management practices (Atreya et al, 2008;Barton et al, 2004). Soil spatial variability within a crop field may be attributed to the chemical, physical and biological properties of soil.…”

Section: Methodsmentioning

confidence: 99%

Sensor Technologies for Precision Soil Nutrient Management and Monitoring

Mohd¹

2012

American Journal of Agricultural and Biological Sciences

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Problem statement: Growing concerns about the need to increase crop productivity without causing environmental injury have led to the deployment of site-specific strategies in soil nutrient management, where nutrients are applied in variable rates to fit local requirements. Variable rate application of nutrients is typically based on a rigorous sampling regime and time-consuming data analyses. The ability to monitor soil nutrient concentration efficiently is highly desirable. Approach: Onsite monitoring of soil nutrient concentration offers the opportunity for higher density measurements at relatively lower costs. This would allow for an efficient mapping of nutrient variability to facilitate variable-rate nutrient application. Results: Implementation of nutrient management programs using sensor technology potentially promotes environmental stewardship while maintaining crop productivity and profitability. Rapid and non-destructive quantification of spatially-variable soil nutrients has been made possible with on-the-go sensors such as optical, electromagnetic and electrochemical sensors. Conclusion: This review demonstrates the potential of on-the-go sensors for non-destructive and rapid characterization of soil nutrient variability within crop fields.

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Section: Methodsmentioning

confidence: 99%

Sensor Technologies for Precision Soil Nutrient Management and Monitoring

Mohd¹

2012

American Journal of Agricultural and Biological Sciences

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“…So, the spatial distribution of soil nutrients under agricultural systems is affected by natural conditions of the soil formation such as parent material, topography, climate, biological activities and natural soil properties (Brady and Weil, 2000;Tang and Yang, 2006) as well as management practices (Huang, 2000;Barton et al, 2004;Atreya et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Assessment and Spatial Variability Mapping of Soil Available Phos-phorus and Potassium of Coarse-textured Soils in New Valley, Egypt Using Geostatistical Technique

2017

AJAS

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Assessment and understanding of soil available phosphorus (P) and potassium (K) content distribution is an important part of deciding whether or not the fertilization is appropriate or even necessary for a soil. So, the main objective of this study is to evaluate and map the spatial variability of the available soil P and K using the geostatistical technique. Georeferencing surface soil samples (0-25 cm) were collected from four sites representing course-textured soils in ElKharga and El-Dakhla oases. Ordinary Kriging (OK) technique was applied for the spatial interpolation of available soil P and K contents. The spatial distribution of available P and K was analyzed and mapped by Arc GIS (version 10.2.2). The results showed that concentrations of the available soil P and K ranged from 0.35 to 85.02 mg/kg and from 11 to 6204 mg/kg, respectively. The nugget-to-sill ratio suggested a strong spatial dependence for both available soil P and K in all sites of the study area, indicating that the available soil P and K were mainly controlled by intrinsic factors. The interpolation models varied for both P and K as well as from site to another site across the study area. Cross-validation proved that the chosen models were the best fitted semivariogram models to map spatial distribution of the available soil P and K. The produced maps of spatial distributions for soil P and K availability were characterized by high accuracy. So, site specific management can be planned and considered to be applied for this study area. Also, these maps can facilitate and help in making decisions for choose appropriate fertilization policies for these soils as well as to avoid adding fertilizers for sites which do not need to be fertilized. Our results confirmed that the integration of statistics, geostatistics and GIS provides a powerful tool to assess, describe and map the spatial variability of the available soil phosphorus and potassium. As well as to develop high resolution maps that may aid variable rate management (e.g. fertilization).

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“…A reduction in soil tillage intensity can decrease soil moisture losses and the quantity of fine (< 2 mm) clods, which reduces crusting on the soil surface and soil erosion [9]. Soil and nutrients losses can be decreased by using conservation tillage, but under a limited availability and high opportunity cost of crop residues, reduced tillage can be an alternative to have profitable crop yields in maize [10].…”

Section: Introductionmentioning

confidence: 99%

Productivity and energy efficiency of three tillage systems for maize (Zea mayz L.) production

Ruiz-Vega

Mena-Mesa

Diego-Nava

et al. 2015

Rev. Fac. Ing. Antioquia

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ABSTRACT:The amount of inputs and dry matter yields of grain, stover and weeds were quantifi ed in six sites located in the districts of Zaachila and Etla, in the Central Valleys of Oaxaca Region, México. The tillage systems evaluated, which are the most widely used for corn production in this region, were full animal traction (FAT), mixed traction (MXT) and mechanical traction (MT). The higher productivity was achieved in the MT system, followed by the MxT system. According to the energy balance, the largest energy effi ciency (EE) was achieved in the FAT system with a value of 34.4 and the least one with the MT system. The lowest EE of the MT system was associated to a higher use of machinery operations and the use of petrol derivate products. No signifi cant differences in EE were found between the FAT and MxT systems; when the weed's dry matter production was considered, EE in this last system was increased 14%, while in the FAT system an 8% increase was observed. Therefore, besides the FAT system, MxT is also recommended because it is common to have plots smaller than 1 ha in the region and mechanical plowing is more effi cient for primary tillage operations, while animal power can be used as a renewable source of energy for tasks such as weeding and transport. RESUMEN: La cantidad de insumos utilizados para la producción de maíz (Zea mays L.)fueron cuantifi cados, así como el rendimiento de grano, forraje y malezas en seis parcelas comerciales ubicadas en los distritos de Zaachila y Etla, pertenecientes a los Valles Centrales de Oaxaca, México. Los sistemas de labranza evaluados fueron: labranza con tracción animal (LTA), labranza mixta (LMx) y labranza mecanizada (LM), los más empleados para la producción de maíz en esta región. La mayor productividad en cuanto a rendimientos de biomasa la obtuvo el sistema LM, seguido por LMx. De acuerdo con el balance energético, la mayor efi ciencia energética (EE) se alcanzó en el sistema LTA con un valor de 34.4 y la menor con el sistema LM. La menor efi ciencia de éste último se asoció con un mayor uso de operaciones con maquinaria, así como de insumos derivados del petróleo. No existieron diferencias signifi cativas en EE entre LTA y LMx, cuando se consideró a las malezas, en este último sistema se produjo un incremento en la EE del 14%, contra un 8% observado en LTA. Por lo tanto también se recomienda utilizar LMx, ya que en la región predominan parcelas menores de 1 ha y con éste se obtuvieron niveles de rendimientos por jornada mayores durante la labranza primaria y se utiliza la tracción animal como fuente renovable de energía para laboreo secundario y transporte.

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Developing a sustainable agro-system for central Nepal using reduced tillage and straw mulching

Cited by 51 publications

References 28 publications

Sensor Technologies for Precision Soil Nutrient Management and Monitoring

Sensor Technologies for Precision Soil Nutrient Management and Monitoring

Assessment and Spatial Variability Mapping of Soil Available Phos-phorus and Potassium of Coarse-textured Soils in New Valley, Egypt Using Geostatistical Technique

Productivity and energy efficiency of three tillage systems for maize (Zea mayz L.) production

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