Abstract
Rice (Oryza sativa L.), a staple crop vital to global food security, faces escalating threats from climate change and inefficient nitrogen management. This study employed least absolute shrinkage and selection operator (LASSO) regression to analyze the stage-specific impacts of nitrogen application, temperature, and rainfall on rice yield and nitrogen use efficiency (NUE) across three growing seasons (2020–2022) in Jiangsu Province, China. The key findings revealed the following: (1) the reproductive stages (flowering and filling stages) exhibited extreme thermal sensitivity, with high temperatures (>35 °C) causing substantial yield losses (33.1% average) and reducing nitrogen recovery efficiency (NRE: 22.4–60.5% loss) and the nitrogen translocation ratio (NTR: 26.3–61.6% loss); (2) the vegetative stages (tillering and jointing and booting stages) were highly rainfall-sensitive, with rainfall during tillering (2.1–9.7 mm/day) influencing 50% of the traits, including four NUE types; (3) appropriate nitrogen management (250–350 kgN·ha−1) mitigated the heat-induced losses, increasing physiological nitrogen use efficiency (PNUE) by 30.0–41.8% under extreme heat and alleviating the losses of yield. This study further verified the generalizability of LASSO. Compared with the traditional models, LASSO overcomes the issue of multicollinearity and can more effectively identify the key factors driving climate change across different spatial gradients. These findings provide actionable insights for optimizing nitrogen application timing, improving climate-resilient breeding, and developing stage-specific adaptation strategies to safeguard rice productivity under global warming.
Abstract from the paper’s OpenAlex record; open copy licensed cc-by. Read at the source ↗
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 7
Claim · model-written summary
High reproductive-stage temperatures caused average rice yield losses of 33.1%.
- Taxon
- Rice
Oryza sativat0 - Organ / stage
- flowering and filling stagese0
- Treatment
- high temperatures (>35 °C)e0
- Outcome
- yield lossese0
- Direction
- lossese0
- Value
- 33.1%e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the reproductive stages (flowering and filling stages) exhibited extreme thermal sensitivity, with high temperatures (>35 °C) causing substantial yield losses (33.1% average)”
t0“Rice Yield and Nitrogen Use Efficiency”
Claim · model-written summary
High temperatures reduced nitrogen recovery efficiency by 22.4–60.5%.
- Taxon
- RiceOryza sativat0
- Treatment
- high temperatures (>35 °C)e0
- Outcome
- nitrogen recovery efficiencye0
- Direction
- reducinge0
- Value
- 22.4–60.5%e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“high temperatures (>35 °C) causing substantial yield losses (33.1% average) and reducing nitrogen recovery efficiency (NRE: 22.4–60.5% loss)”
t0“Rice Yield and Nitrogen Use Efficiency”
Claim · model-written summary
High temperatures reduced nitrogen translocation ratio by 26.3–61.6%.
- Taxon
- RiceOryza sativat0
- Outcome
- nitrogen translocation ratioe0
- Direction
- losse0
- Value
- 26.3–61.6%e0
Not reportedTreatment
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“reducing nitrogen recovery efficiency (NRE: 22.4–60.5% loss) and the nitrogen translocation ratio (NTR: 26.3–61.6% loss)”
t0“Rice Yield and Nitrogen Use Efficiency”
Claim · model-written summary
Tillering rainfall influenced half the measured traits, including four NUE types.
- Taxon
- RiceOryza sativat0
- Treatment
- rainfall during tillering (2.1–9.7 mm/day)e0
- Outcome
- traitse0
- Value
- 50%e0
- Qualifier
- including four NUE typese0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“rainfall during tillering (2.1–9.7 mm/day) influencing 50% of the traits, including four NUE types”
t0“Rice Yield and Nitrogen Use Efficiency”
Claim · model-written summary
Nitrogen at 250–350 kgN·ha−1 increased PNUE by 30.0–41.8% under extreme heat.
- Taxon
- RiceOryza sativat0
- Treatment
- nitrogen management (250–350 kgN·ha−1)e0
- Outcome
- physiological nitrogen use efficiencye0
- Direction
- increasinge0
- Value
- 30.0–41.8%e0
- Qualifier
- under extreme heate0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“appropriate nitrogen management (250–350 kgN·ha−1) mitigated the heat-induced losses, increasing physiological nitrogen use efficiency (PNUE) by 30.0–41.8% under extreme heat”
t0“Rice Yield and Nitrogen Use Efficiency”
Claim · model-written summary
Nitrogen management alleviated heat-induced yield losses.
- Taxon
- RiceOryza sativat0
- Treatment
- nitrogen management (250–350 kgN·ha−1)e0
- Outcome
- losses of yielde0
- Direction
- alleviatinge0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“appropriate nitrogen management (250–350 kgN·ha−1) mitigated the heat-induced losses, increasing physiological nitrogen use efficiency (PNUE) by 30.0–41.8% under extreme heat and alleviating the losses of yield”
t0“Rice Yield and Nitrogen Use Efficiency”
Claim · model-written summary
LASSO overcame multicollinearity and identified climate drivers more effectively than traditional models.
- Taxon
- RiceOryza sativat0
- Outcome
- identify the key factors driving climate changee0
- Direction
- more effectivelye0
- Comparator
- traditional modelse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Compared with the traditional models, LASSO overcomes the issue of multicollinearity and can more effectively identify the key factors driving climate change across different spatial gradients”
t0“Rice Yield and Nitrogen Use Efficiency”
The same questions in other papers
nitrogen · nutrient: efficiency · Oryza sativa (rice)Positive and negative results
216 papers in the same direction as this paper · 41 in the opposite direction · 4 reporting no difference from an alternative
- negative
- negative
- no effect
258 papers more in this group
See all 262 papers →nitrogen · yield · Oryza sativa (rice)Positive and negative results
1,802 papers in the same direction as this paper · 193 in the opposite direction · 49 reporting no difference from an alternative
- positive
- negative
- negative
2,041 papers more in this group
See all 2,045 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.