Biochar combined with nitrogen fertilizer affects soil properties and wheat yield in medium‐low‐yield farmland

Aims: Determining effects of spatial variation of some soil properties on wheat quantity and quality variation in order that proper soil and inputs management can be applied for sustainable wheat production. Study Design: Analyzing data of a field with center pivot irrigation system and uniform management using the geostatistical method. Place and Duration of Study: Soil and Water Research Department, Fars Agricultural and Natural Resources Research and Education Center, Darab, Iran, from September 2013 to February 2014. Methodology: Wheat yield data harvested by class lexion 510 combine from 25 m2 plots (11340 locations) with the corresponding geographical location were used. Besides, soil properties and wheat yield were measured at 36 randomly selected points on the field. Interpolation of parameters was predicted with the best semi-variogram model using kriging, inverse distance weighted (IDW), and cokriging methods. Results: Results showed that wheat yield varied from 2 to 10.08 tons per hectare. Cokriging with cofactor of kernel weight interpolator had more accuracy compared to the combine default interpolator (kriging). A logical, linear correlation was found between different parameters. The best variogram model for pH, OC, and ρb was exponential, for EC, TNV, SP, soil silt and clay percentage was spherical, and for soil, percentage sand was Gaussian model. Data of soil sand, silt, and clay percentage, EC, TNV, and SP had strong spatial structure, and soil pH, OC, and ρb had moderate spatial structure. The best interpolation method for soil pH, EC, sand and silt percentage was kriging method; while, for TNV, SP, OC, ρb, and clay percentage was IDW. Conclusion: There was a close relationship between wheat yield variation and changes in the soil properties. Soil properties and wheat yield distribution maps provided valuable information which could be used for wheat yield improvement in precision agriculture.

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Short-term effects of biochar on soil properties and wheat yield formation with meat bone meal and inorganic fertiliser on a boreal loamy sand

Agriculture Ecosystems & Environment ◽

10.1016/j.agee.2014.01.007 ◽

2014 ◽

Vol 191 ◽

pp. 108-116 ◽

Cited By ~ 67

Author(s):

Priit Tammeorg ◽

Asko Simojoki ◽

Pirjo Mäkelä ◽

Frederick L. Stoddard ◽

Laura Alakukku ◽

...

Keyword(s):

Soil Properties ◽

Wheat Yield ◽

Loamy Sand ◽

Bone Meal ◽

Short Term ◽

Inorganic Fertiliser ◽

Yield Formation ◽

Meat Bone Meal ◽

Short Term Effects

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Changes in Soil Properties and Productivity under Different Tillage Practices and Wheat Genotypes: A Short-Term Study in Iran

Sustainability ◽

10.3390/su10093273 ◽

2018 ◽

Vol 10 (9) ◽

pp. 3273 ◽

Cited By ~ 9

Author(s):

Shokoofeh Khorami ◽

Seyed Kazemeini ◽

Sadegh Afzalinia ◽

Mahesh Gathala

Keyword(s):

Soil Properties ◽

Block Design ◽

Water Productivity ◽

C:N Ratio ◽

Wheat Yield ◽

Water Infiltration ◽

Reduced Tillage ◽

Short Term ◽

Wheat Genotypes ◽

Tillage Practices

Natural resources are the most limiting factors for sustainable agriculture in Iran. Traditional practices are intensive tillage that leads to a negative impact on crop productivity and soil properties. Conservation agriculture including tillage reductions, better agronomy, and improved varieties, showed encouraging results. The goal of this study was to test combined effect of tillage practices and wheat (Triticum aestivum L.) genotypes on soil properties as well as crop and water productivity. The experiment was conducted at Zarghan, Fars, Iran during 2014–2016. Experimental treatments were three-tillage practices—conventional tillage (CT), reduced tillage (RT), and no tillage (NT)—and four wheat genotypes were randomized in the main and subplots, respectively using split-plot randomized complete block design with three replications. Results showed NT had higher soil bulk density at surface soil, thereby lower cumulative water infiltration. The lowest soil organic carbon and total nitrogen were obtained under CT that led to the highest C:N ratio. Reduced tillage produced higher wheat yield and maize (Zea mays L.) biomass. Maximum irrigation water was applied under CT, which leads lower water productivity. The findings are based on short-term results, but it is important to evaluate medium- and long-term effects on soil properties, crop yields and water use in future.

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Effects of residue management and nitrogen fertilizer rates on accumulation of soil residual nitrate and wheat yield under no-tillage system in south-west of Iran

International Soil and Water Conservation Research ◽

10.1016/j.iswcr.2020.09.007 ◽

2020 ◽

Author(s):

Majid Roozbeh ◽

Majid Rajaie

Keyword(s):

Nitrogen Fertilizer ◽

Wheat Yield ◽

Residue Management ◽

No Tillage ◽

South West ◽

Tillage System ◽

Residual Nitrate ◽

Fertilizer Rates

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The Benefits of Legume Crops on Corn and Wheat Yield, Nitrogen Nutrition, and Soil Properties Improvement

Agronomy Journal ◽

10.2134/agronj14.0416 ◽

2015 ◽

Vol 107 (5) ◽

pp. 1653-1665 ◽

Cited By ~ 12

Author(s):

Adrien N'Dayegamiye ◽

Joann K. Whalen ◽

Gilles Tremblay ◽

Judith Nyiraneza ◽

Michèle Grenier ◽

...

Keyword(s):

Soil Properties ◽

Nitrogen Nutrition ◽

Wheat Yield ◽

Legume Crops

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Quantifying individual and collective influences of soil properties on crop yield

Soil Research ◽

10.1071/sr16264 ◽

2018 ◽

Vol 56 (1) ◽

pp. 19 ◽

Cited By ~ 4

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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