Abstract
Possibilities and limits of leaf area determination without destruction of leaves were examined. Length and width of tomato leaves (Lycopersicon spp.) were measured in different experiments. Allometry was examined, and its robustness was analyzed against treatment factors including genotype, salinity of the nutrient solution, growing system, and date of measurement. Total leaf length alone explained 75% of tomato leaf area variance. Length from the rachis to the distal end of the petiole had the same variance as total length. Leaf area estimation was much better using only leaf width, which accounted for 90% of leaf area variance. No further improvement of estimation was possible by using both length and width. Leaf area estimation from leaf length or width was robust across treatment factors investigated, including growing system, salinity of nutrient solution, and for different measurement date. On the other hand, use of an universal relationship may lead to a considerable systematic error of estimation of leaf area for some genotypes and during strong changes in assimilate partitioning.
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Claims 6
Claim · model-written summary
Total leaf length explained 75% of tomato leaf-area variance.
- Taxon
- tomato
Solanum lycopersicume0 - Outcome
- tomato leaf area variancee0
- Value
- 75%e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“Total leaf length alone explained 75% of tomato leaf area variance.”
Claim · model-written summary
Rachis-to-distal-petiole length had the same variance as total length.
- Taxon
- TOMATO
Solanum lycopersicumt0 - Organ / stage
- petiolee0
- Outcome
- same variance as total lengthe0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“Length from the rachis to the distal end of the petiole had the same variance as total length.”
t0“TOMATO”
Claim · model-written summary
Leaf width accounted for 90% of leaf-area variance and estimated area better.
- Taxon
- TOMATO
Solanum lycopersicumt0 - Outcome
- leaf area variancee0
- Direction
- much bettere0
- Value
- 90%e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“Leaf area estimation was much better using only leaf width, which accounted for 90% of leaf area variance.”
t0“TOMATO”
Claim · model-written summary
Using both length and width did not further improve estimation.
- Taxon
- TOMATO
Solanum lycopersicumt0 - Outcome
- improvement of estimatione0
- Direction
- No further improvemente0
- Comparator
- using both length and widthe0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“No further improvement of estimation was possible by using both length and width.”
t0“TOMATO”
Claim · model-written summary
Length- or width-based estimation was robust across growing system, nutrient-solution salinity and measurement date.
- Taxon
- TOMATO
Solanum lycopersicumt0 - Outcome
- Leaf area estimation from leaf length or width was robuste0
- Comparator
- treatment factors investigatede0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“Leaf area estimation from leaf length or width was robust across treatment factors investigated, including growing system, salinity of nutrient solution, and for different measurement date.”
t0“TOMATO”
Claim · model-written summary
A universal relationship may produce considerable systematic estimation error for some genotypes and strong changes in assimilate partitioning.
- Taxon
- TOMATO
Solanum lycopersicumt0 - Outcome
- systematic error of estimation of leaf areae0
- Qualifier
- for some genotypes and during strong changes in assimilate partitioninge0
- Comparator
- universal relationshipe0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“use of an universal relationship may lead to a considerable systematic error of estimation of leaf area for some genotypes and during strong changes in assimilate partitioning.”
t0“TOMATO”