Abstract
Studying the spatial and temporal variability of soil micronutrients and their effects on plant growth is important for implementing precision-farming and/or economizing fertilizer management. The present investigation was done through soil sampling (0–20 cm depth) from three locations in central Ethiopia. The tools employed include, descriptive and/or classical statistics. The concentrations of available copper ranged from 1.38–3.20 mg/kg with narrower range in season-I, than season-II. Manganese ranged from 5.00 – 65.00 mg/kg, indicating its significant uneven distribution over the years and locations. The concentrations of iron ranged from 1.80 – 8.20 mg/kg. Narrower ranges were observed for zinc, boron and molybdenum. From the influencing factors analysis, soil pH was the major factor negatively influenced the availability of the evaluated micronutrients, except molybdenum. Organic carbon was the major positive contributor to sulfur, nitrogen, manganese, zinc, and boron availability. Considering the widely varied wheat yields due to the variations in soil nutrients, more positive relationship was established for the grain than total biomass yield indicating more partitioning of plant nutrients into grains. Overall, the dynamics of soil nutrients, particularly the micronutrients and their influences on wheat yield were described and the results could provide practical bases for sustaining crop production in precision-agriculture. Key words: Soil micronutrients, spatial and temporal variability, geostatistics, regression, correlation.
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Claims 8
Claim · model-written summary
Available copper ranged from 1.38-3.20 mg/kg, with a narrower range in season-I than season-II.
- Outcome
- concentrations of available coppere0
- Value
- 1.38–3.20 mg/kge0
- Qualifier
- narrower range in season-I, than season-IIe0
Not reportedTaxon
Verbatim
e0“The concentrations of available copper ranged from 1.38–3.20 mg/kg with narrower range in season-I, than season-II”
Claim · model-written summary
Manganese ranged from 5.00 to 65.00 mg/kg, with significant uneven distribution over years and locations.
- Outcome
- Manganesee0
- Value
- 5.00 – 65.00 mg/kge0
- Qualifier
- significant uneven distribution over the years and locationse0
Not reportedTaxon
Verbatim
e0“Manganese ranged from 5.00 – 65.00 mg/kg, indicating its significant uneven distribution over the years and locations”
Claim · model-written summary
Iron concentrations ranged from 1.80 to 8.20 mg/kg.
Not reportedTaxon
Verbatim
e0“The concentrations of iron ranged from 1.80 – 8.20 mg/kg”
Claim · model-written summary
Zinc, boron and molybdenum showed narrower ranges.
- Outcome
- Narrower ranges were observed for zinc, boron and molybdenume0
Not reportedTaxon
Verbatim
e0“Narrower ranges were observed for zinc, boron and molybdenum”
Claim · model-written summary
Soil pH was the major factor negatively influencing availability of the evaluated micronutrients, except molybdenum.
Not reportedTaxon
Verbatim
e0“soil pH was the major factor negatively influenced the availability of the evaluated micronutrients, except molybdenum”
Claim · model-written summary
Organic carbon was the major positive contributor to sulfur, nitrogen, manganese, zinc and boron availability.
- Compound
- Organic carbone0
- Outcome
- sulfur, nitrogen, manganese, zinc, and boron availabilitye0
- Direction
- positivee0
Not reportedTaxon
Verbatim
e0“Organic carbon was the major positive contributor to sulfur, nitrogen, manganese, zinc, and boron availability”
Claim · model-written summary
A more positive relationship was established between soil nutrients and wheat grain yield than total biomass yield.
- Taxon
- wheat
Triticum aestivume0 - Compound
- soil nutrientse0
- Outcome
- graine0
- Direction
- more positivee0
- Comparator
- total biomass yielde0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Considering the widely varied wheat yields due to the variations in soil nutrients, more positive relationship was established for the grain than total biomass yield”
Claim · model-written summary
The authors interpret the stronger grain relationship as more partitioning of plant nutrients into grains.
- Taxon
- wheatTriticum aestivumt0
- Compound
- plant nutrientse0
- Outcome
- partitioning of plant nutrients into grainse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“indicating more partitioning of plant nutrients into grains”
t0“wheat (Triticum aestivum L.)”