Abstract
Plant photosynthetic rate is affected by stomatal status and internal CO2 carboxylation. Understanding which process determines photosynthetic rate is essential for developing strategies for breeding crops with high photosynthetic efficiency. In this study, we identified different physiological patterns of photosynthetic rate in two different rice populations. Photosynthetic gas exchange parameters were measured during the flowering stage in two rice populations. Clustering and correlation analyses were performed on the resulting data. Five or six groups were defined by K-means clustering according to differences in net photosynthetic rates (Pn). According to differences in stomatal conductance (gs) and carboxylation efficiency (CE), each group was clustered into three subgroups characterized by physiological patterns stomatal pattern, carboxylation pattern, and intermediate pattern. Pn was significantly correlated with gs (r = 0.810) and CE (r = 0.531). Pn was also significantly correlated with gs and CE in the three physiological patterns. The correlation coefficients were highest in the stomatal pattern (0.905 and 0.957) and lowest in the carboxylation pattern (0.825 and 0.859). Higher correlation coefficients between Pn and gs or CE in the three physiological patterns indicate that clustering is very important for understanding factors limiting rice photosynthesis.
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Claims 8
Claim · model-written summary
K-means clustering defined five or six groups by net photosynthetic rate.
- Taxon
- rice
Oryza sativat0 - Outcome
- groups were defined by K-means clusteringe0
- Value
- Five or sixe0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“rice populations”
e0“Five or six groups were defined by K-means clustering according to differences in net photosynthetic rates (Pn)”
Claim · model-written summary
Each photosynthetic-rate group split into stomatal, carboxylation and intermediate patterns.
- Taxon
- riceOryza sativat0
- Outcome
- three subgroups characterized by physiological patterns stomatal pattern, carboxylation pattern, and intermediate patterne0
- Value
- threee0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“rice populations”
e0“each group was clustered into three subgroups characterized by physiological patterns stomatal pattern, carboxylation pattern, and intermediate pattern”
Claim · model-written summary
Net photosynthetic rate correlated significantly with stomatal conductance at r = 0.810.
- Taxon
- riceOryza sativat0
- Outcome
- net photosynthetic ratese1
- Value
- r = 0.810e0
- Qualifier
- stomatal conductancee2
Not reportedOrgan / stageSettingDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“rice populations”
e0“Pn was significantly correlated with gs (r = 0.810) and CE (r = 0.531)”
e1“net photosynthetic rates (Pn)”
e2“stomatal conductance (gs)”
Claim · model-written summary
Net photosynthetic rate correlated significantly with carboxylation efficiency at r = 0.531.
- Taxon
- riceOryza sativat0
- Outcome
- net photosynthetic ratese1
- Value
- r = 0.531e0
- Qualifier
- carboxylation efficiencye2
Not reportedOrgan / stageSettingDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“rice populations”
e0“Pn was significantly correlated with gs (r = 0.810) and CE (r = 0.531)”
e1“net photosynthetic rates (Pn)”
e2“carboxylation efficiency (CE)”
Claim · model-written summary
Photosynthetic rate also correlated significantly with conductance and carboxylation efficiency within all three patterns.
- Taxon
- riceOryza sativat0
- Outcome
- Pne0
- Qualifier
- gs and CE in the three physiological patternse0
Not reportedSettingDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“rice populations”
e0“Pn was also significantly correlated with gs and CE in the three physiological patterns”
Claim · model-written summary
The stomatal pattern had the highest correlation coefficients, 0.905 and 0.957.
- Taxon
- riceOryza sativat0
- Outcome
- correlation coefficientse0
- Direction
- higheste0
- Value
- 0.905 and 0.957e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“rice populations”
e0“The correlation coefficients were highest in the stomatal pattern (0.905 and 0.957)”
Claim · model-written summary
The carboxylation pattern had the lowest correlation coefficients, 0.825 and 0.859.
- Taxon
- riceOryza sativat0
- Outcome
- carboxylation patterne0
- Direction
- loweste0
- Value
- 0.825 and 0.859e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“rice populations”
e0“lowest in the carboxylation pattern (0.825 and 0.859)”
Claim · model-written summary
The authors interpret the pattern-specific correlations as evidence that clustering helps identify limits to rice photosynthesis.
- Taxon
- riceOryza sativat0
- Outcome
- clustering is very important for understanding factors limiting rice photosynthesise0
- Comparator
- three physiological patternse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“rice populations”
e0“Higher correlation coefficients between Pn and gs or CE in the three physiological patterns indicate that clustering is very important for understanding factors limiting rice photosynthesis”