Abstract
1. It is shown that the leaf area: leaf weight ratio decreases with increasing leaf weight. 2. The relation between the leaf area: leaf weight ratio and leaf weight is well fitted by a linear regression equation. 3. A method of estimating the mean leaf area per leaf or per plant of a field crop by means of this regression is described. The mean weight per leaf is determined by a large sampling, and the leaf area: leaf weight ratio and its regression on leaf weight are estimated on a small subsidiary sample. 4. Alternative methods of estimation from the mean leaf weight and either the unweighted or the weighted mean leaf area: leaf weight ratio are shown to give positively biased estimates of mean leaf area. 5. It is emphasized that the small sample, from which the leaf area: leaf weight ratio and its regression on leaf weight are determined, must be a strictly random selection from the whole population.
Abstract from the paper’s OpenAlex record, shown for indexing and research. Copyright remains with the authors or the publisher. 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 5
Claim · model-written summary
Leaf area to leaf weight ratio decreases as leaf weight rises.
Verbatim
e0“the leaf area: leaf weight ratio decreases with increasing leaf weight”
t0“field crops”
Claim · model-written summary
A linear regression fits the relation of leaf area to leaf weight ratio with leaf weight.
- Taxon
- field cropst0
- Outcome
- relation between the leaf area: leaf weight ratio and leaf weighte0
- Qualifier
- linear regression equatione0
Not reportedComparatorValue
Verbatim
e0“The relation between the leaf area: leaf weight ratio and leaf weight is well fitted by a linear regression equation”
t0“field crops”
Claim · model-written summary
Estimating mean leaf area using unweighted mean ratio produces positive bias.
- Taxon
- field cropst0
- Outcome
- estimates of mean leaf areae0
- Direction
- positively biasede0
- Comparator
- unweightede0
Not reportedValue
Verbatim
e0“the unweighted or the weighted mean leaf area: leaf weight ratio are shown to give positively biased estimates of mean leaf area”
t0“field crops”
Claim · model-written summary
Estimating mean leaf area using weighted mean ratio produces positive bias.
- Taxon
- field cropst0
- Outcome
- estimates of mean leaf areae0
- Direction
- positively biasede0
- Comparator
- weightede0
Not reportedValue
Verbatim
e0“the unweighted or the weighted mean leaf area: leaf weight ratio are shown to give positively biased estimates of mean leaf area”
t0“field crops”
Claim · model-written summary
The subsidiary sample used to estimate the ratio regression must be random.
Verbatim
e0“the small sample, from which the leaf area: leaf weight ratio and its regression on leaf weight are determined, must be a strictly random selection from the whole population”
t0“field crops”