Evidence map›Paper›PMID 31608085›Full record

ReviewFrontiers in plant science2019

Opportunities and Limitations of Crop Phenotyping in Southern European Countries.

Joaquim Miguel Costa, Jorge Marques da Silva, Carla Pinheiro, Matilde Barón, Photini Mylona, Mauro Centritto, Matthew Haworth, Francesco Loreto, Baris Uzilday, Ismail Turkan and 1 more

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
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  4. Advances in viticultureFrontiers in plant science · 2024
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  15. Crop Enhancement of Cucumber Plants under Heat Stress by Shungite Carbon.International journal of molecular sciences · 2020
    Article
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  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Joaquim Miguel CostaLEAF, Instituto Superior de Agronomia, Universidade de Lisboa, Lisbon, Portugal.
Jorge Marques da SilvaBiosystems and Integrative Sciences Institute (BioISI), Faculty of Sciences, Universidade de Lisboa, Lisbon, Portugal.
Carla PinheiroFCT NOVA, Universidade Nova de Lisboa, Monte da Caparica, Portugal.
Matilde BarónEstación Experimental del Zaidín, Consejo Superior de Investigaciones Científicas (CSIC), Granada, Spain.
Photini MylonaHAO-DEMETER, Institute of Plant Breeding and Genetic Resources, Thermi, Greece.
Mauro CentrittoInstitute for Sustainable Plant Protection, Italian National Research Council (IPSP-CNR), Sesto Fiorentino, Italy.
Matthew HaworthTrees and Timber Institute, CNR, Sesto Fiorentino, Italy.
Francesco LoretoDepartment of Biology, Agriculture and Food Sciences, CNR, Rome, Italy.
Baris UzildayDepartment of Biology, Faculty of Science, Ege University, I˙zmir, Turkey.
Ismail TurkanDepartment of Biology, Faculty of Science, Ege University, I˙zmir, Turkey.
Maria Margarida OliveiraITQB NOVA, Universidade Nova de Lisboa, Oeiras, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Mediterranean climate is characterized by hot dry summers and frequent droughts. Mediterranean crops are frequently subjected to high evapotranspiration demands, soil water deficits, high temperatures, and photo-oxidative stress. These conditions will become more severe due to global warming which poses major challenges to the sustainability of the agricultural sector in Mediterranean countries. Selection of crop varieties adapted to future climatic conditions and more tolerant to extreme climatic events is urgently required. Plant phenotyping is a crucial approach to address these challenges. High-throughput plant phenotyping (HTPP) helps to monitor the performance of improved genotypes and is one of the most effective strategies to improve the sustainability of agricultural production. In spite of the remarkable progress in basic knowledge and technology of plant phenotyping, there are still several practical, financial, and political constraints to implement HTPP approaches in field and controlled conditions across the Mediterranean. The European panorama of phenotyping is heterogeneous and integration of phenotyping data across different scales and translation of "phytotron research" to the field, and from model species to crops, remain major challenges. Moreover, solutions specifically tailored to Mediterranean agriculture (e.g., crops and environmental stresses) are in high demand, as the region is vulnerable to climate change and to desertification processes. The specific phenotyping requirements of Mediterranean crops have not yet been fully identified. The high cost of HTPP infrastructures is a major limiting factor, though the limited availability of skilled personnel may also impair its implementation in Mediterranean countries. We propose that the lack of suitable phenotyping infrastructures is hindering the development of new Mediterranean agricultural varieties and will negatively affect future competitiveness of the agricultural sector. We provide an overview of the heterogeneous panorama of phenotyping within Mediterranean countries, describing the state of the art of agricultural production, breeding initiatives, and phenotyping capabilities in five countries: Italy, Greece, Portugal, Spain, and Turkey. We characterize some of the main impediments for development of plant phenotyping in those countries and identify strategies to overcome barriers and maximize the benefits of phenotyping and modeling approaches to Mediterranean agriculture and related sustainability.

Indexed as

crop selection and performanceheat and water stresshigh-throughputphenotyping infrastructuresphenotyping technology

Identifiers

PMID31608085
PMCPMC6774291

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.