Research Progress on the Effects of Fenlong Cultivation on Soil Properties and Crop Yield

2021 ◽  
Vol 3 (1) ◽  
pp. 43-52
Author(s):  
Zhang Keyu ◽  
Chen Yanyun ◽  
Li Guoqi
Keyword(s):  
Soil Properties ◽  
Crop Yield ◽  
Research Progress

Effects of sewage wastewater irrigation on soil properties, crop yield and environment

2012 ◽  
Vol 103 ◽  
pp. 100-104 ◽  
Author(s):  
P.K. Singh ◽  
P.B. Deshbhratar ◽  
D.S. Ramteke
Keyword(s):  
Soil Properties ◽  
Crop Yield ◽  
Wastewater Irrigation

scholarly journals Spatial variability of soil fertility and its relation with cocoa yield

2017 ◽  
Vol 21 (2) ◽  
pp. 88-93 ◽  
Author(s):  
Railton O. dos Santos ◽  
◽  
Laís B. Franco ◽  
Samuel A. Silva ◽  
George A. Sodré ◽  
...  
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Spatial Variability ◽  
Soil Fertility ◽  
Soil Properties ◽  
Crop Yield ◽  
Chemical Properties ◽  
Western Region ◽  
Chemical Attributes ◽  
Cocoa Yield

ABSTRACT The knowledge on the spatial variability of soil properties and crops is important for decision-making on agricultural management. The objective of this study was to evaluate the spatial variability of soil fertility and its relation with cocoa yield. The study was conducted over 14 months in an area cultivated with cocoa. A sampling grid was created to study soil chemical properties and cocoa yield (stratified in season, off-season and annual). The data were analyzed using descriptive and exploratory statistics, and geostatistics. The chemical attributes were classified using fuzzy logic to generate a soil fertility map, which was correlated with maps of crop yield. The soil of the area, except for the western region, showed possibilities ranging from medium to high for cocoa cultivation. Soil fertility showed positive spatial correlation with cocoa yield, and its effect was predominant only for the off-season and annual cocoa.

Long-Term Effects of Profile-Modifying Deep Plowing on Soil Properties and Crop Yield

2008 ◽  
Vol 72 (3) ◽  
pp. 677-682 ◽  
Author(s):  
R. L. Baumhardt ◽  
O. R. Jones ◽  
R. C. Schwartz
Keyword(s):  
Soil Properties ◽  
Crop Yield ◽  
Long Term Effects ◽  
Deep Plowing

spatial Trends and Variability of Soil Properties and Crop Yield in a Small Watershed

1987 ◽  
Vol 30 (6) ◽  
pp. 1653-1660 ◽  
Author(s):  
R. D. Williams ◽  
L. R. Ahuja ◽  
J. W. Naney ◽  
J. D. Ross ◽  
B. B. Barnes
Keyword(s):  
Soil Properties ◽  
Crop Yield ◽  
Small Watershed ◽  
Spatial Trends

REDUCTION OF SECONDARY TILLAGE IN MOULDBOARD-PLOUGHED SYSTEMS FOR SILAGE CORN AND SPRING CEREALS IN MEDIUM-TEXTURED SOILS

1990 ◽  
Vol 70 (1) ◽  
pp. 1-9 ◽  
Author(s):  
M. R. CARTER ◽  
R. P. WHITE ◽  
R. G. ANDREW
Keyword(s):  
Soil Properties ◽  
Crop Yield ◽  
Prince Edward Island ◽  
Crop Production ◽  
Sandy Loam ◽  
Soil Depth ◽  
Nutrient Content ◽  
Slight Reduction ◽  
Hordeum Vulgare L ◽  
Spring Cereals

Minimum tillage for soils that require regular cultivation consists of reducing the degree of secondary tillage and number of passes over the field. This study was conducted to determine whether one-pass mouldboard-ploughed systems were suitable for production of silage corn (Zea mays L.) and spring cereals (Hordeum vulgare L., Triticum aestivum L.) on loam to sandy loam soils (Humo-Ferric Podzol and Gray Luvisol) in the perhumid soil climate of Prince Edward Island. The effects of reduction in secondary tillage were gauged by characterizing crop yield and nutrient content, soil properties and structure, and relative economics. Plant growth, crop yield, and nutrient content were similar in all the mouldboard-ploughed systems. Soil chemical properties were not affected by reduction in secondary tillage, but the one-pass plough system did result in a macro-aggregate distribution with a greater proportion of large soil aggregates (9.5–16 mm) and a slight reduction in soil strength over the 10- to 25-cm soil depth. Macroporosity and soil density in the top 8 cm of soil were similar between tillage systems. Reducing both the degree of secondary tillage and number of tillage operations decreased both estimated cultivation costs and time of tillage per hectare by 26 and 39%, respectively. One-pass mouldboard-ploughed systems appear suitable for annual crop production on medium-textured soils under the soil environment of Prince Edward Island. Key words: One-pass tillage, soil properties, crop growth

scholarly journals Quantifying individual and collective influences of soil properties on crop yield

Soil Research ◽  
2018 ◽  
Vol 56 (1) ◽  
pp. 19 ◽  
Author(s):  
Rebecca Whetton ◽  
Yifan Zhao ◽  
Abdul M. Mouazen
Keyword(s):  
Soil Properties ◽  
Crop Yield ◽  
Near Infrared ◽  
Wheat Yield ◽  
Exchange Capacity ◽  
Large Area ◽  
High Resolution Data ◽  
Factors Affecting ◽  
Single Output ◽  
Non Linear

Quantification of the agronomic influences of soil properties, collected at high sampling resolution, on crop yield is essential for site specific soil management. The objective of this study was to implement a novel Volterra Non-linear Regressive with eXogenous inputs (VNRX) model accounting for the linear and non-linear variability (VNRX-LN) to quantify causal factors affecting wheat yield in a 22-ha field with a waterlogging problem in Bedfordshire, UK. The VNRX-LN model was applied using high-resolution data of eight key soil properties (total nitrogen (TN), organic carbon, pH, available phosphorous, magnesium (Mg), calcium, moisture content and cation exchange capacity (CEC)). The data were collected with an on-line (tractor mounted) visible and near infrared spectroscopy sensor and used as multiple-input to the VNRX-LN model, whereas crop yield represented the single-output in the system. Results showed that the largest contributors to wheat yield were CEC, Mg and TN, with error reduction ratio contribution values of 14.6%, 4.69% and 1% respectively. The overall contribution of the soil properties considered in this study equalled 23.21%. This was attributed to a large area of the studied field having been waterlogged, which masked the actual effect of soil properties on crop yield. It is recommended that VNRX-LN is validated on a larger number of fields, where other crop yield affecting parameters e.g., crop disease, pests, drainage, topography and microclimate conditions should be taken into account.

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