Abstract
Abstract Alterations in the mechanistic drivers of photosynthesis have the potential to improve crop productivity, but their measurement is inherently time‐consuming using traditional methods. High‐throughput approaches to estimate photosynthesis using hyperspectral reflectance could be developed by leveraging variation in cotton ( Gossypium hirsutum L.) leaf traits generated through nitrogen (N) management, synthetic growth regulation strategies, and leaf position within the canopy. Currently, no such models exist for cotton, and interactions among the aforementioned factors are relatively unexplored for cotton leaf traits. This study aimed to (1) evaluate the effects of N application rate, mepiquat chloride (MC) management, and leaf position within the canopy on photosynthesis and its components, and (2) develop and validate hyperspectral reflectance‐based partial least squares regression (PLSR) models for predicting cotton leaf physiological traits. N rate and leaf position interacted to affect net photosynthetic rate ( A N ), electron transport rate, chlorophyll a, and chlorophyll b, while MC influenced only leaf pigments and specific leaf weight (SLW). A N reductions under N deficiency were driven by declines in the maximum rate of Rubisco carboxylation ( V c,max ) and ribulose‐1,5‐bisphosphate regeneration ( J max ), whereas high N had no effect on A N . PLSR models exhibited good to high predictive accuracy, with R 2 values ranging from 0.62 to 0.87 for most traits, except for SLW. These findings enhance our understanding of the physiological responses to N rate, MC strategy, and leaf position and highlight the potential of hyperspectral reflectance‐based PLSR as a high‐throughput tool for predicting leaf physiological traits to improve photosynthetic efficiency in cotton.
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Claims 6
Claim · model-written summary
Nitrogen rate and leaf position interacted in their association with net photosynthetic and electron transport rates and chlorophyll a.
- Taxon
- cotton
Gossypium hirsutume0 - Organ / stage
- leaf positione1
- Treatment
- N ratee1
- Outcome
- net photosynthetic rate ( A N ), electron transport rate, chlorophyll ae1
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“cotton ( Gossypium hirsutum L.)”
e1“N rate and leaf position interacted to affect net photosynthetic rate ( A N ), electron transport rate, chlorophyll a, and chlorophyll b”
Claim · model-written summary
Nitrogen rate and leaf position interacted to affect chlorophyll b.
- Taxon
- cottonGossypium hirsutume0
- Organ / stage
- leaf positione1
- Treatment
- N ratee1
- Outcome
- chlorophyll be1
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“cotton ( Gossypium hirsutum L.)”
e1“N rate and leaf position interacted to affect net photosynthetic rate ( A N ), electron transport rate, chlorophyll a, and chlorophyll b”
Claim · model-written summary
Mepiquat chloride influenced leaf pigments and specific leaf weight only.
- Taxon
- cottonGossypium hirsutume0
- Treatment
- MCe1
- Outcome
- leaf pigments and specific leaf weight (SLW)e1
Not reportedComparatorDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“cotton ( Gossypium hirsutum L.)”
e1“MC influenced only leaf pigments and specific leaf weight (SLW)”
Claim · model-written summary
Nitrogen deficiency reduced net photosynthetic rate through declines in carboxylation and regeneration rates.
- Taxon
- cottonGossypium hirsutume0
- Treatment
- N deficiencye1
- Outcome
- A Ne1
- Direction
- reductionse1
- Qualifier
- declines in the maximum rate of Rubisco carboxylation ( V c,max ) and ribulose‐1,5‐bisphosphate regeneration ( J max )e1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“cotton ( Gossypium hirsutum L.)”
e1“A N reductions under N deficiency were driven by declines in the maximum rate of Rubisco carboxylation ( V c,max ) and ribulose‐1,5‐bisphosphate regeneration ( J max )”
Claim · model-written summary
High nitrogen had no effect on net photosynthetic rate.
- Taxon
- cottonGossypium hirsutume0
- Treatment
- high Ne1
- Outcome
- A Ne1
- Direction
- no effecte1
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“cotton ( Gossypium hirsutum L.)”
e1“high N had no effect on A N”
Claim · model-written summary
Reflectance PLSR models predicted most traits with R² from 0.62 to 0.87.
- Taxon
- cottonGossypium hirsutume0
- Outcome
- predictive accuracye1
- Value
- 0.62 to 0.87e1
- Qualifier
- except for SLWe1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“cotton ( Gossypium hirsutum L.)”
e1“PLSR models exhibited good to high predictive accuracy, with R 2 values ranging from 0.62 to 0.87 for most traits, except for SLW”
The same questions in other papers
nitrogen · physiology: photosynthesis · Gossypium hirsutum (cotton)Positive and negative results
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