Abstract
Significant spatial yield variations are known to exist in cornfields with different soil types, topsoil depth, and othervariables. Similarly, variations might also be found among the highly valued chemical components (oil, protein, and starch)in corn kernels due to local differences in soil type, fertility, acidity/pH, organic matter, etc. This study quantified the spatialvariability of protein, oil, and starch content of corn from two conventional cornfields and two high-oil cornfields. Whole earswere harvested by hand from 20 to 40 randomly selected locations within each field. A differential global positioning system(DGPS) receiver recorded the location of each collection site. Samples were also collected from hauling vehicles with asegmented probe prior to transport from the field and from the grain stream as trucks were unloaded. A NIRSystems. 6500near-infrared reflectance instrument was used to measure the protein, oil, and starch concentration of each sample collected.Yield maps were plotted for each type of corn along with protein, oil, and starch variation. Results showed large variationsbetween the conventional and high-oil cornfields. Slight variations were found between truck probe samples from the samefield. Oil content was more variable than protein or starch. Probe samples appeared to provide the most representative results.Segregation of grain based on average values of components in hauling vehicles appeared to be feasible. The oilconcentration between truck hoppers was significantly different and could be used for binning corn of differentconcentrations. However, segregation on the combine during harvest does not appear to be feasible due to the large variationsthat occurred within fields at the same location. For example, the oil concentration of individual ears varied between 1 and7 percentage points at the same location within the field.
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Claims 9
Claim · model-written summary
Composition varied greatly between conventional and high-oil cornfields.
- Taxon
- CORN
Zea mays subsp. mayst0
- Material
- high-oile0
- Outcome
- variationse0
- Comparator
- conventionale0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Results showed large variationsbetween the conventional and high-oil cornfields.”
t0“CORN”
Claim · model-written summary
Truck probe samples from the same field varied slightly.
- Taxon
- CORN
Zea mays subsp. mayst0
- Outcome
- variationse0
- Qualifier
- Slighte0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Slight variations were found between truck probe samples from the samefield.”
t0“CORN”
Claim · model-written summary
Corn oil content was more variable than protein or starch.
- Taxon
- CORN
Zea mays subsp. mayst0
- Outcome
- Oil contente0
- Direction
- more variablee0
- Comparator
- protein or starche0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Oil content was more variable than protein or starch.”
t0“CORN”
Claim · model-written summary
Probe samples appeared to give the most representative corn sampling results.
- Taxon
- CORN
Zea mays subsp. mayst0
- Treatment
- Probe samplese0
- Outcome
- most representative resultse0
- Direction
- most representativee0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Probe samples appeared to provide the most representative results.”
t0“CORN”
Claim · model-written summary
Segregating corn by mean component values in hauling vehicles appeared feasible.
- Taxon
- CORN
Zea mays subsp. mayst0
- Outcome
- Segregation of grain based on average values of components in hauling vehiclese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Segregation of grain based on average values of components in hauling vehicles appeared to be feasible.”
t0“CORN”
Claim · model-written summary
Corn oil concentration differed significantly between truck hoppers.
- Taxon
- corn
Zea mays subsp. mayse0
- Outcome
- oilconcentratione0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The oilconcentration between truck hoppers was significantly different and could be used for binning corn of differentconcentrations.”
Claim · model-written summary
Oil concentration could be used to bin corn of different concentrations.
- Taxon
- corn
Zea mays subsp. mayse0
- Outcome
- binning corn of differentconcentrationse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The oilconcentration between truck hoppers was significantly different and could be used for binning corn of differentconcentrations.”
Claim · model-written summary
Segregation on the combine during corn harvest appeared infeasible because of within-location variability.
- Taxon
- CORN
Zea mays subsp. mayst0
- Outcome
- segregation on the combine during harveste0
- Qualifier
- large variationsthat occurred within fields at the same locatione0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“However, segregation on the combine during harvest does not appear to be feasible due to the large variationsthat occurred within fields at the same location.”
t0“CORN”
Claim · model-written summary
Individual corn ears at the same field location differed in oil concentration by 1 to 7 percentage points.
- Taxon
- CORN
Zea mays subsp. mayst0
- Organ / stage
- individual earse0
- Outcome
- oil concentratione0
- Value
- 1 and7 percentage pointse0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the oil concentration of individual ears varied between 1 and7 percentage points at the same location within the field.”
t0“CORN”