Abstract
Soil compaction and nutrient accumulation on the surface have been a major problem. Soil scarification can alter nutrient variability due to partial soil mobilization. This research aimed to evaluate by multivariate techniques the main chemical attributes of the soil that best relate to soybean yield and production components. The experiment was performed in a dystrophic Red Oxisol, in the agricultural year of 2015/16, in Savannah area located in the Selvíria County, MS, Brazil. The experiment consisted of two cultivated areas, one under no-tillage system (NTS) implemented 13 years ago and another in minimum cultivation system scarified (MCSS). Were evaluated: population of plants, first pod insertion height, plant height, the number of pods per plant, grain per plant, grain per pod, the weight of 100 grains, grain yield and soil chemical attributes. Soybean yield was higher in NTS when compared to MCSS scarified. The values of pH, calcium content, magnesium and phosphorus in the layer of 0-0.10 m, as well as the content of K in 0.10-0.20 m, are the attributes that most contributed to the increase of soybean productivity in NTS and MCSS.
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Claims 4
Claim · model-written summary
Soybean yield was higher under no tillage than scarified minimum cultivation.
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Soybean yield was higher in NTS when compared to MCSS scarified.”
Claim · model-written summary
Surface soil pH was among the attributes contributing most to increased soybean productivity.
- Taxon
- soybean
Glycine maxe0 - Organ / stage
- layer of 0-0.10 me0
- Compound
- pHe0
- Outcome
- soybean productivitye0
- Direction
- increasee0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The values of pH, calcium content, magnesium and phosphorus in the layer of 0-0.10 m, as well as the content of K in 0.10-0.20 m, are the attributes that most contributed to the increase of soybean productivity in NTS and MCSS.”
Claim · model-written summary
Surface soil calcium, magnesium, and phosphorus content were among the attributes contributing most to increased soybean productivity.
- Taxon
- soybeanGlycine maxe0
- Compound
- calcium content, magnesium and phosphoruse0
- Outcome
- soybean productivitye0
- Direction
- increasee0
- Setting
- layer of 0-0.10 me0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The values of pH, calcium content, magnesium and phosphorus in the layer of 0-0.10 m, as well as the content of K in 0.10-0.20 m, are the attributes that most contributed to the increase of soybean productivity in NTS and MCSS.”
Claim · model-written summary
Potassium content at 0.10-0.20 m was among the attributes contributing most to increased soybean productivity.
- Taxon
- soybeanGlycine maxe0
- Compound
- Ke0
- Outcome
- soybean productivitye0
- Direction
- increasee0
- Setting
- 0.10-0.20 me0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The values of pH, calcium content, magnesium and phosphorus in the layer of 0-0.10 m, as well as the content of K in 0.10-0.20 m, are the attributes that most contributed to the increase of soybean productivity in NTS and MCSS.”
The same questions in other papers
tillage · yield · Glycine max (soybean)Positive and negative results
263 papers in the same direction as this paper · 100 in the opposite direction · 26 reporting no difference from an alternative
- no effect
- no effect
- no effect
386 papers more in this group
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