Abstract
To predict the seasonal vegetative growth of potted seedlings of Satsuma mandarin, the effects of initial plant conditions (age, shoot pruning), environment (greenhouse, greenhouse + shading, open-field culture), and pot size on growth were researched for 1.5–2.5 years. The growth pattern was evaluated using a curve fitting with the 4-parameter logistic (4L) model, biomass allocation, and classical (interval) growth analysis, and a generalized linear model analysis based on thermal time (tt). Growth delays from shoot pruning were confirmed by growth trajectories with the 4L model based on tt. Plant growth was positively affected by enlarging the pot size (from 20-L to 45-L), while shading significantly suppressed the growth of 45-L potted Satsuma mandarin seedlings in the greenhouse. In the growth analysis, the relative growth rate was not always determined by the net assimilation rate (NAR), which included both shoot-pruning and pot size effects. To predict the plant mass of Satsuma mandarin seedlings (MP), we proposed several generalized linear models using a log link function assuming that MP followed a Gamma-distribution. The best model to predict MP was selected based on Akaike information criterion (AIC) values, and contained explanatory variables for initial plant biomass, NAR, specific leaf area (SLA), leaf mass ratio (LMR), pot size, and tt. Some simpler models excluding NAR, but including SLA and/or LMR as explanatory variables, were more useful than a model lacking growth analysis parameters (NAR, SLA, and LMR).
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Claims 6
Claim · model-written summary
Enlarging the pot size from 20-L to 45-L increased growth of Satsuma mandarin seedlings.
- Taxon
- Satsuma mandarin
Citrus unshiue0 - Treatment
- enlarging the pot size (from 20-L to 45-L)e1
- Outcome
- Plant growthe1
- Direction
- increaseinferrede1
- Comparator
- 20-Le1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“potted seedlings of Satsuma mandarin”
e1“Plant growth was positively affected by enlarging the pot size (from 20-L to 45-L)”
Claim · model-written summary
Shading significantly suppressed growth of 45-L potted Satsuma mandarin seedlings in the greenhouse.
- Taxon
- Satsuma mandarinCitrus unshiue2
- Treatment
- shadinge2
- Outcome
- growthe2
- Direction
- suppressede2
- Qualifier
- 45-L pottede2
- Comparator
- greenhousee2
- Setting
- greenhousee2
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e2“shading significantly suppressed the growth of 45-L potted Satsuma mandarin seedlings in the greenhouse”
Claim · model-written summary
Shoot pruning delayed growth of Satsuma mandarin seedlings, as shown by growth trajectories of the 4L model based on thermal time.
- Taxon
- Satsuma mandarinCitrus unshiue0
- Treatment
- shoot pruninge3
- Outcome
- Growthe3
- Direction
- decreaseinferrede3
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“potted seedlings of Satsuma mandarin”
e3“Growth delays from shoot pruning were confirmed by growth trajectories with the 4L model based on tt”
Claim · model-written summary
Relative growth rate was not always determined by net assimilation rate (NAR) in Satsuma mandarin seedlings.
- Taxon
- Satsuma mandarinCitrus unshiue0
- Outcome
- relative growth ratee4
- Qualifier
- not always determined by the net assimilation rate (NAR)e4
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“potted seedlings of Satsuma mandarin”
e4“the relative growth rate was not always determined by the net assimilation rate (NAR), which included both shoot-pruning and pot size effects”
Claim · model-written summary
The best generalized linear model for plant mass of Satsuma mandarin seedlings, selected by AIC, contained initial plant biomass, NAR, SLA, LMR, pot size and thermal time.
- Taxon
- Satsuma mandarinCitrus unshiue6
- Outcome
- plant masse6
- Qualifier
- initial plant biomass, NAR, specific leaf area (SLA), leaf mass ratio (LMR), pot size, and tte5
- Comparator
- Akaike information criterion (AIC) valuese5
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e5“The best model to predict MP was selected based on Akaike information criterion (AIC) values, and contained explanatory variables for initial plant biomass, NAR, specific leaf area (SLA), leaf mass ratio (LMR), pot size, and tt”
e6“To predict the plant mass of Satsuma mandarin seedlings (MP)”
Claim · model-written summary
Simpler models without NAR but with SLA and/or LMR were more useful for predicting plant mass than a model lacking growth analysis parameters.
- Taxon
- Satsuma mandarinCitrus unshiue0
- Outcome
- more usefule7
- Comparator
- a model lacking growth analysis parameters (NAR, SLA, and LMR)e7
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“potted seedlings of Satsuma mandarin”
e7“Some simpler models excluding NAR, but including SLA and/or LMR as explanatory variables, were more useful than a model lacking growth analysis parameters (NAR, SLA, and LMR)”
The same questions in other papers
pruning · growth · Citrus unshiu (satsuma mandarin)Positive and negative results
1 paper in the same direction as this paper · 2 in the opposite direction
- positive
- positive
- negative
shade · growth · Citrus unshiu (satsuma mandarin)Results agree
1 paper in the same direction as this paper
- negative
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.