Abstract
The present study evaluated the effects of nitrogen nutrition on dry matter and N partitioning in hybrid rice 518. Higher N application significantly increased dry matter partitioning of leaf at the vegetative stage. Partitioning of dry matter to leaves decreased as the N concentration in the leaves (LNC) decreased. Leaf partitioning of absorbed N, compared to dry matter, was higher and varied little during early vegetative growth, but varied greatly from panicle initiation onwards, probably due to competition for N among leaves, stem and the developing panicle. In this study, the Stanford model was selected for evaluating and predicting N fertilizer requirements for rice production. The Stanford model might be a useful tool for predicting average N fertilizer requirements for rice production in south China.
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The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 5
Claim · model-written summary
Higher nitrogen application increased leaf dry matter partitioning at the vegetative stage.
- Taxon
- rice
Oryza sativat0 - Material
- hybrid rice 518e1
- Organ / stage
- vegetative stagee0
- Treatment
- Higher N applicatione0
- Outcome
- dry matter partitioning of leafe0
- Direction
- increasede0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Higher N application significantly increased dry matter partitioning of leaf at the vegetative stage.”
e1“hybrid rice 518”
t0“nitrogen fertilizer requirements for rice production”
Claim · model-written summary
Leaf dry matter partitioning decreased as leaf nitrogen concentration decreased.
- Taxon
- riceOryza sativat0
- Compound
- N concentration in the leaves (LNC)e0
- Outcome
- Partitioning of dry matter to leavese0
- Direction
- decreasede0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Partitioning of dry matter to leaves decreased as the N concentration in the leaves (LNC) decreased.”
t0“nitrogen fertilizer requirements for rice production”
Claim · model-written summary
Leaf partitioning of absorbed nitrogen was higher than dry matter partitioning and varied little during early vegetative growth.
- Taxon
- riceOryza sativat0
- Organ / stage
- early vegetative growthe0
- Outcome
- Leaf partitioning of absorbed Ne0
- Direction
- highere0
- Comparator
- dry mattere0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Leaf partitioning of absorbed N, compared to dry matter, was higher and varied little during early vegetative growth”
t0“nitrogen fertilizer requirements for rice production”
Claim · model-written summary
Leaf absorbed nitrogen partitioning varied greatly from panicle initiation onward.
- Taxon
- riceOryza sativat0
- Organ / stage
- panicle initiatione0
- Outcome
- Leaf partitioning of absorbed Ne1
- Direction
- varied greatlye0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“but varied greatly from panicle initiation onwards, probably due to competition for N among leaves, stem and the developing panicle.”
t0“nitrogen fertilizer requirements for rice production”
e1“Leaf partitioning of absorbed N”
Claim · model-written summary
The Stanford model may predict average nitrogen fertilizer requirements for rice in south China.
- Taxon
- riceOryza sativae0
- Outcome
- predicting average N fertilizer requirementse0
- Qualifier
- mighte0
- Setting
- south Chinae0
Not reportedComparatorValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The Stanford model might be a useful tool for predicting average N fertilizer requirements for rice production in south China.”
t0“nitrogen fertilizer requirements for rice production”
The same questions in other papers
nitrogen · growth · Oryza sativa (rice)Positive and negative results
401 papers in the same direction as this paper · 101 in the opposite direction · 8 reporting no difference from an alternative
- negative
- negative
- negative
507 papers more in this group
See all 511 papers →Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.