Abstract
Numerous factors that affect corn yield in the Northern Great Plains are not considered in current N fertilizer recommendations. A linear model to describe the interactions of N fertility, weather, soil, and irrigation on corn ( Zea mays L.) yield was developed for a 6‐yr field study in southeastern North Dakota. Varying rates of postemergence fertilizer N were applied to plots in four quadrants of a sprinkler‐irrigated field. Four irrigation‐scheduling methods varied by year (Y) and quadrant (Q). Grain yield, stover yield, and N uptake response to a covariate (soil N plus starter fertilizer N), N treatment (Nt), Q, Y, irrigation treatment (I), previous irrigation treatment (P), and the two‐way interactions that included Nt, were investigated using standard regression techniques. Yield increased significantly with Nt up to a rate of 135 kg N ha −1 for most Y, Q, and I. Average yearly yield was adversely affected by cool climatic conditions in 2 yr. Soil conditions in two quadrants resulted in a 1.25 Mg ha −1 average annual yield reduction compared with the other quadrants. An irrigation scheduling method utilizing a water balance algorithm resulted in higher yields compared with the other scheduling methods. The interactions of Nt with Q, Y, and I were significant. Optimized total N rates (the sum of soil nitrate N, starter N, and postemergence Nt) derived from quadratic‐linear plateau analysis varied (232–374 kg N ha −1 ) with Y, Q, and I and averaged 295 kg N ha −1 . Soil properties, soil moisture availability, and yearly climatic factors should be considered when making fertilizer recommendations.
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Claims 8
Claim · model-written summary
Corn yield increased significantly with postemergence nitrogen treatment up to 135 kg N ha −1 in most years, quadrants and irrigation regimes.
- Taxon
- corn
Zea mays subsp. mayse1
- Treatment
- Nt up to a rate of 135 kg N ha −1e0
- Outcome
- Yielde0
- Direction
- increasede0
- Qualifier
- most Y, Q, and Ie0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Yield increased significantly with Nt up to a rate of 135 kg N ha −1 for most Y, Q, and I”
e1“corn ( Zea mays L.) yield”
Claim · model-written summary
Cool climatic conditions adversely affected average yearly corn yield in two years.
- Taxon
- corn
Zea mays subsp. mayse1
- Outcome
- Average yearly yielde0
- Direction
- adversely affectede0
- Value
- 2 yre0
- Setting
- cool climatic conditionse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Average yearly yield was adversely affected by cool climatic conditions in 2 yr”
e1“corn ( Zea mays L.) yield”
Claim · model-written summary
Two soil quadrants had 1.25 Mg ha −1 lower average annual yield than other quadrants.
- Taxon
- corn
Zea mays subsp. mayse1
- Outcome
- average annual yielde0
- Direction
- reductione0
- Value
- 1.25 Mg ha −1e0
- Comparator
- the other quadrantse0
- Setting
- two quadrantse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Soil conditions in two quadrants resulted in a 1.25 Mg ha −1 average annual yield reduction compared with the other quadrants”
e1“corn ( Zea mays L.) yield”
Claim · model-written summary
Water balance irrigation scheduling yielded more corn than the other scheduling methods.
- Taxon
- corn
Zea mays subsp. mayse1
- Treatment
- irrigation scheduling method utilizing a water balance algorithme0
- Outcome
- yieldse0
- Direction
- highere0
- Comparator
- the other scheduling methodse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“An irrigation scheduling method utilizing a water balance algorithm resulted in higher yields compared with the other scheduling methods”
e1“corn ( Zea mays L.) yield”
Claim · model-written summary
Nitrogen treatment interactions with quadrant, year and irrigation were significant.
- Taxon
- corn
Zea mays subsp. mayse1
- Outcome
- interactions of Nt with Q, Y, and Ie0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The interactions of Nt with Q, Y, and I were significant”
e1“corn ( Zea mays L.) yield”
Claim · model-written summary
Optimized total nitrogen rates varied across year, quadrant and irrigation from 232–374 kg N ha −1.
- Taxon
- corn
Zea mays subsp. mayse1
- Outcome
- Optimized total N ratese0
- Direction
- variede0
- Value
- 232–374 kg N ha −1e0
- Qualifier
- with Y, Q, and Ie0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Optimized total N rates (the sum of soil nitrate N, starter N, and postemergence Nt) derived from quadratic‐linear plateau analysis varied (232–374 kg N ha −1 ) with Y, Q, and I”
e1“corn ( Zea mays L.) yield”
Claim · model-written summary
Optimized total nitrogen rates averaged 295 kg N ha −1.
- Taxon
- corn
Zea mays subsp. mayse1
- Outcome
- Optimized total N ratese2
- Value
- 295 kg N ha −1e0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“averaged 295 kg N ha −1”
e1“corn ( Zea mays L.) yield”
e2“Optimized total N rates”
Claim · model-written summary
Fertilizer recommendations should account for soil properties, moisture availability and yearly climate.
- Taxon
- corn
Zea mays subsp. mayse1
- Outcome
- fertilizer recommendationse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Soil properties, soil moisture availability, and yearly climatic factors should be considered when making fertilizer recommendations”
e1“corn ( Zea mays L.) yield”
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