Paper · 2019 · European Journal of Agronomy

Identifying the most promising agronomic adaptation strategies for the tomato growing systems in Southern Italy via simulation modeling

Marcella Michela Giuliani; Giuseppe Gatta; Giovanni Cappelli; et al.

6
claims
15
verbatim quotes
41
citations
3
research areas
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Open access · cc-by-nc-nd

Abstract

The main cultivation area of the Italian processing tomato is the Southern Capitanata plain. Here, the hardest agronomic challenge is the optimization of the irrigation water use, which is often inefficiently performed by farmers, who tend to over-irrigate. This could become unsustainable in the next years, given the negative impacts of climatic changes on groundwater availability and heat stress intensification. The aim of the study was to identify the most promising agronomic strategies to optimize tomato yield and water use in Capitanata, through a modeling study relying on an extensive dataset for model calibration and evaluation (22 data sets in 2005–2018). The TOMGRO simulation model was adapted to open-field growing conditions and was coupled with a soil model to reproduce the impact of water stress on yield and fruit quality. The new model, TomGro_field, was applied on the tomato cultivation area in Capitanata at 5 × 5 km spatial resolution using an ensemble of future climatic scenarios, resulting from the combination of four General Circulation Models, two extreme Representative Concentration Pathways and five 10-years time frames (2030–2070). Our results showed an overall negative impact of climate change on tomato yields (average decrease = 5–10%), which could be reversed by i) the implementation of deficit irrigation strategies based on the restitution of 60–70% of the crop evapotranspiration, ii) the adoption of varieties with longer cycle and iii) the anticipation of 1–2 weeks in transplanting dates. The corresponding irrigation amounts applied are around 360 mm, thus reinforcing that a rational water management could be realized. Our study provides agronomic indications to tomato growers and lays the basis for a bio-economic analysis to support policy makers in charge of promoting the sustainability of the tomato growing systems.

Abstract from the paper’s OpenAlex record; open copy licensed cc-by-nc-nd. 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 6

Method / resourceobservedoriginal resultbasis n/a

Claim · model-written summary

The TOMGRO model was adapted to open-field conditions and coupled with a soil model into TomGro_field to reproduce water-stress effects on tomato yield and fruit quality, using 22 calibration and evaluation data sets.

Outcome
reproduce the impact of water stress on yield and fruit qualitye0
Value
22 data sets in 2005–2018e1

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

t0

“tomato”

✓ located verbatim in the source · title, characters 71–77 · show in text ↑
e0

“coupled with a soil model to reproduce the impact of water stress on yield and fruit quality”

✓ located verbatim in the source · abstract, characters 752–844 · show in text ↑
e1

“22 data sets in 2005–2018”

✓ located verbatim in the source · abstract, characters 643–668 · show in text ↑
Intervention effectobservedoriginal resultnegativeprojected

Claim · model-written summary

Simulations projected an overall negative impact of climate change on tomato yields, with an average decrease of 5-10%.

Treatment
climate changee0
Outcome
yieldse0
Direction
decreasee0
Value
5–10%e0

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“Our results showed an overall negative impact of climate change on tomato yields (average decrease = 5–10%)”

✓ located verbatim in the source · abstract, characters 1171–1278 · show in text ↑
Intervention effectobservedoriginal resultpositiveprojected

Claim · model-written summary

Implementing deficit irrigation based on restitution of 60-70% of crop evapotranspiration could reverse the simulated negative impact of climate change on tomato yields.

Treatment
the implementation of deficit irrigation strategies based on the restitution of 60–70% of the crop evapotranspiratione2
Outcome
negative impact of climate change on tomato yieldse0
Direction
reversede1

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“negative impact of climate change on tomato yields”

✓ located verbatim in the source · abstract, characters 1201–1251 · show in text ↑
e1

“which could be reversed by”

✓ located verbatim in the source · abstract, characters 1280–1306 · show in text ↑
e2

“the implementation of deficit irrigation strategies based on the restitution of 60–70% of the crop evapotranspiration”

✓ located verbatim in the source · abstract, characters 1310–1427 · show in text ↑
Intervention effectobservedoriginal resultpositiveprojected

Claim · model-written summary

Adopting varieties with a longer cycle could reverse the simulated negative impact of climate change on tomato yields.

Treatment
the adoption of varieties with longer cyclee2
Outcome
negative impact of climate change on tomato yieldse0
Direction
reversede1

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“negative impact of climate change on tomato yields”

✓ located verbatim in the source · abstract, characters 1201–1251 · show in text ↑
e1

“which could be reversed by”

✓ located verbatim in the source · abstract, characters 1280–1306 · show in text ↑
e2

“the adoption of varieties with longer cycle”

✓ located verbatim in the source · abstract, characters 1433–1476 · show in text ↑
Intervention effectobservedoriginal resultpositiveprojected

Claim · model-written summary

Anticipating transplanting by 1-2 weeks could reverse the simulated negative impact of climate change on tomato yields.

Treatment
the anticipation of 1–2 weeks in transplanting datese2
Outcome
negative impact of climate change on tomato yieldse0
Direction
reversede1

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“negative impact of climate change on tomato yields”

✓ located verbatim in the source · abstract, characters 1201–1251 · show in text ↑
e1

“which could be reversed by”

✓ located verbatim in the source · abstract, characters 1280–1306 · show in text ↑
e2

“the anticipation of 1–2 weeks in transplanting dates”

✓ located verbatim in the source · abstract, characters 1486–1538 · show in text ↑
Observationobservedoriginal resultsimulated

Claim · model-written summary

The irrigation amounts applied under the recommended strategies are around 360 mm.

Outcome
irrigation amounts appliede0
Value
360 mme0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

t0

“tomato”

✓ located verbatim in the source · title, characters 71–77 · show in text ↑
e0

“The corresponding irrigation amounts applied are around 360 mm”

✓ located verbatim in the source · abstract, characters 1540–1602 · show in text ↑

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irrigation · yield · Solanum lycopersicum (tomato)Positive and negative results

344 papers: 239 positive, 105 negative or no effect

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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.