Evidence map›Paper›PMID 21183453›Full record

ArticleAnnals of botany2011

Correlation between dynamic tomato fruit-set and source-sink ratio: a common relationship for different plant densities and seasons?

MengZhen Kang, LiLi Yang, BaoGui Zhang, Philippe de Reffye

Abstract read
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Article in Annals of botany, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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12citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

MengZhen KangLIAMA&NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
LiLi Yang
BaoGui Zhang
Philippe de Reffye

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsIt is widely accepted that fruit-set in plants is related to source-sink ratio. Despite its critical importance to yield, prediction of fruit-set remains an ongoing problem in crop models. Functional-structural plant models are potentially able to simulate organ-level plasticity of plants. To predict fruit-set, the quantitative link between source-sink ratio and fruit-set probability is analysed here via a functional-structural plant model, GreenLab.

methodsTwo experiments, each with four plant densities, were carried out in a solar greenhouse during two growth seasons (started in spring and autumn). Dynamic fruit-set probability was estimated by frequent observation on inflorescences. Source and sink parameter values were obtained by fitting GreenLab outputs for the biomass of plant parts (lamina, petiole, internode, fruit), at both organ and plant level, to corresponding destructive measurements at six dates from real plants. The dynamic source-sink ratio was calculated as the ratio between biomass production and plant demand (sum of all organ sink strength) per growth cycle, both being outputs of the model. KEY RESULTS AND

conclusionsMost sink parameters were stable over multiple planting densities and seasons. From planting, source-sink ratio increased in the vegetative stage and reached a peak after fruit-set commenced, followed by a decrease of leaf appearance rate. Fruit-set probability was correlated with the source-sink ratio after the appearance of flower buds. The relationship between fruit-set probability and the most correlated source-sink ratio could be quantified by a single regression line for both experiments. The current work paves the way to predicting dynamic fruit-set using a functional structure model.

Indexed as

Models, BiologicalBiomassChinaComputer SimulationCrops, AgriculturalFruitInflorescenceNonlinear DynamicsPopulation DensityRegression AnalysisSeasonsSolanum lycopersicumStatistics as Topic

Identifiers

PMID21183453
PMCPMC3077983

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.