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  1. Article: Within-season predictions of durum wheat yield over the Mediterranean Basin

    Bindi, Marco

    FACCE MACSUR Reports, 3(Supplement):CP3-32

    2014  

    Abstract: Crop yield is the result of the interactions between weather in the incoming season and how farmers decide to manage and protect their crops. According to Jones et al. (2000), uncertainties in the weather of the forthcoming season leads farmers to lose ... ...

    Abstract Crop yield is the result of the interactions between weather in the incoming season and how farmers decide to manage and protect their crops. According to Jones et al. (2000), uncertainties in the weather of the forthcoming season leads farmers to lose some productivity by taking management decisions based on their own experience of the climate or by adopting conservative strategies aimed at reducing the risks. Accordingly, predicting crop yield in advance, in response to different managements, environments and weathers would assist farm-management decisions(Lawless and Semenov, 2005). Following the approach described by Semenov and Doblas-Reyes (2007), this study aimed at assessing the utility of different seasonal forecasting methodologies in predicting durum wheat yield at 10 different sites across the Mediterranean Basin. The crop model, SiriusQuality (Martre et al., 2006), was used to compute wheat yield over a 10-years period. First, the model was run with a set of observed weather data to calculate the reference yield distributions. Then, starting from 1st January, yield predictions were produced at a monthly time-step using seasonal forecasts. The results were compared with the reference yields to assess the efficacy of the forecasting methodologies to estimate within-season yields. The results indicate that durum wheat phenology and yield can be accurately predicted under Mediterranean conditions well before crop maturity, although some differences between the sites and the forecasting methodologies were revealed. Useful information can be thus provided for helping farmers to reduce negative impacts or take advantage from favorable conditions.
    Keywords Climate Change ; Agriculture ; Food Security
    Language English
    Document type Article
    DOI 10.4126/FRL01-006413655
    Database Repository for Life Sciences

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  2. Article: Identification of most important cropping systems and available models

    Bindi, Marco

    FACCE MACSUR Reports, 1:D-C1.1

    2013  

    Abstract: For each region or agro-ecological zone in Europe the major cropping systems have been identified based on their cropping area. Next, for each of the selected cropping systems the most widely applied models that fulfil a number of criteria (including ... ...

    Institution Potsdam-Institut für Klimafolgenforschung
    Abstract For each region or agro-ecological zone in Europe the major cropping systems have been identified based on their cropping area. Next, for each of the selected cropping systems the most widely applied models that fulfil a number of criteria (including their documentation in peer reviewed publications; good user guides and documentation of code; source code available) have been identified. Some possible model comparisons have been hypothesized on the basis of cropping systems and model availability.
    Keywords Climate Change ; Agriculture ; Food Security
    Language English
    Document type Article
    DOI 10.4126/FRL01-006413310
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  3. Book: Special issue on climate change impacts and adaptation options in the Mediterranean basin

    Loizidou, Maria / Giannakopoulos, Christos / Bindi, Marco / Moustakas, Konstantinos

    (Regional environmental change ; Volume 16, Number 7 (October 2016))

    2016  

    Author's details guest editors:Maria Loizidou, Christos Giannakopoulos, Marco Bindi and Konstantinos Moustakas
    Series title Regional environmental change ; Volume 16, Number 7 (October 2016)
    Collection
    Language English
    Size Seite 1859 - 1861, Illustrationen
    Publisher Springer
    Publishing place Heidelberg
    Publishing country Germany
    Document type Book
    HBZ-ID HT019121749
    Database Catalogue ZB MED Nutrition, Environment, Agriculture

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    Shelf markLoan statusLocation
    Z 7484 (16,7) available for loan (reading room) Freihandmagazin (U1)

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  4. Article ; Online: promSEMBLE: Hard Pattern Mining and Ensemble Learning for Detecting DNA Promoter Sequences.

    Nagda, Bindi M / Nguyen, Van Minh / White, Ryan T

    IEEE/ACM transactions on computational biology and bioinformatics

    2024  Volume 21, Issue 1, Page(s) 208–214

    Abstract: Accurate identification of DNA promoter sequences is of crucial importance in unraveling the underlying mechanisms that regulate gene transcription. Initiation of transcription is controlled through regulatory transcription factors binding to promoter ... ...

    Abstract Accurate identification of DNA promoter sequences is of crucial importance in unraveling the underlying mechanisms that regulate gene transcription. Initiation of transcription is controlled through regulatory transcription factors binding to promoter core regions in the DNA sequence. Detection of promoter regions is necessary if we are to build genetic regulatory networks for biomedical and clinical applications, and for identification of rarely expressed genes. We propose a novel ensemble learning technique using deep recurrent neural networks with convolutional feature extraction and hard negative pattern mining to detect several types of promoter sequences, including promoter sequences with the TATA-box and without the TATA-box, within DNA sequences of four different species. Using extensive independent tests and previously published results, we demonstrate that our method sets a new state-of-the-art of over 98% Matthews correlation coefficient in all eight organism categories for recognizing the stretch of base pairs that code for the promoter region within DNA sequences.
    MeSH term(s) Base Sequence ; Promoter Regions, Genetic/genetics ; TATA Box ; DNA/genetics ; Machine Learning ; Transcription, Genetic
    Chemical Substances DNA (9007-49-2)
    Language English
    Publishing date 2024-02-05
    Publishing country United States
    Document type Journal Article
    ISSN 1557-9964
    ISSN (online) 1557-9964
    DOI 10.1109/TCBB.2023.3339597
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Data format for model in- and output

    Kersebaum, Kurt Christian / Bindi, Marco

    FACCE MACSUR Reports, 3:C1.3

    2013  

    Abstract: A common format for model input variables and model output variables has been defined to be distributed to modellers participating in the model inter-comparison and improvement. The aim of common formats is to support the communication between the ... ...

    Abstract A common format for model input variables and model output variables has been defined to be distributed to modellers participating in the model inter-comparison and improvement. The aim of common formats is to support the communication between the modellers, those providing empirical data of the experiments and those analysing the simulation results. The input format facilitates the model application in a way that each cropping-system to be modelled will be defined in the same way. Data will be delivered in EXCEL sheets with sub-tables for each block of inputs. Tables are mostly organized in a way that allows export and sequential read-in by the models. The common output format enables effective processing of results estimating model performance indicators.
    Keywords Climate Change ; Agriculture ; Food Security
    Language English
    Document type Article
    DOI 10.4126/FRL01-006413630
    Database Repository for Life Sciences

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  6. Article: Model comparison and improvement: Links established with other consortia - Report on Task H1-XC1 - Sub-task XC1.3

    Bellocchi, Gianni / Brilli, Lorenzo / Ferrise, Roberto / Dibari, Camilla / Bindi, Marco

    FACCE MACSUR Reports, 10:XC1.3-D

    2017  

    Abstract: XC1 has established links to other research activities and consortia on model comparison and improvement. They include the global initiatives AgMIP (http://www.agmip.org) and GRA (http://www.globalresearchalliance.org), and the EU-FP7 project MODEXTREME ( ...

    Institution Potsdam-Institut für Klimafolgenforschung
    Abstract XC1 has established links to other research activities and consortia on model comparison and improvement. They include the global initiatives AgMIP (http://www.agmip.org) and GRA (http://www.globalresearchalliance.org), and the EU-FP7 project MODEXTREME (http://modextreme.org). These links have allowed sharing and communication of recent results and methods, and have created opportunities for future research calls.
    Language English
    Document type Article
    DOI 10.4126/FRL01-006413042
    Database Repository for Life Sciences

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  7. Article: Needs on model improvement: Report on Task H1-XC1 - Sub-task XC1.1. - Modelling European Agriculture with Climate Change for Food Security (MACSUR)2017 Scientific Conference, 22-24 May, 2017 in Berlin

    Brilli, Lorenzo / Ferrise, Roberto / Dibari, Camilla / Bindi, Marco / Bellocchi, Gianni

    FACCE MACSUR Reports, 10:XC1.1-D

    2017  

    Abstract: The need to answer new scientific questions can be satisfied by an increased knowledge of physiological mechanisms which, in turn, can be used for improving the accuracy of simulations of process-based models. In this context, this report highlights ... ...

    Institution Potsdam-Institut für Klimafolgenforschung
    Abstract The need to answer new scientific questions can be satisfied by an increased knowledge of physiological mechanisms which, in turn, can be used for improving the accuracy of simulations of process-based models. In this context, this report highlights areas that need to be further improved to facilitate the operational use of simulation models. It describes missing approaches within simulation models which, if implemented, would likely improve the representation of the dynamics of processes underlying different compartments of crop and grassland systems (e.g. plant growth and development, yield production, GHG emissions), as well as of the livestock production systems. The following rationale has been used in the organization of this report. We first briefly introduced the need to improve the reliability of existing models. Then, we indicated climate change and its influence on the global carbon balance as the main issue to be addressed by existing crop and grassland (section 2), and livestock (section 3) models. In section 2, among the major aspects that if implemented may reduce the uncertainty inherent to model outputs, we suggested: i) quantifying the effects of climate extremes on biological systems; ii) modelling of multi-species sward; iii) coupling of pest and disease sub-models; iv) improvement of the carry-over effect. In section 3, as the most important aspects to consider in livestock models we indicated: i) impacts and dynamics of pathogens and disease; ii) heat stress effects on livestock; iii) effects on grassland productivity and nutritional values; iv) improvement of GHG emissions dynamics. In Section 4, remarks are made concerning the need to implement the suggested aspects into the existing models.
    Keywords Joint Programming Initiative ; climate change ; crop modelling ; agriculture ; gap analysis ; grassland modelling ; food security ; livestock modelling
    Language English
    Document type Article
    DOI 10.4126/FRL01-006413040
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  8. Article: Modelling different cropping systems

    Moriondo, Marco / RUIZ RAMOS, MARGARITA / Nendel, Claas / Roggero, Pier Paolo / Ferrise, Roberto / Bindi, Marco

    FACCE MACSUR Reports, 10:C1.4-D

    2017  

    Abstract: Grapevine is a worldwide valuable crop characterized by a high economic importance for the production of high quality wines. However, the impact of climate change on the narrow climate niches in which grapevine is currently cultivated constitute a great ... ...

    Institution Leibniz-Zentrum für Agrarlandschaftsforschung
    Abstract Grapevine is a worldwide valuable crop characterized by a high economic importance for the production of high quality wines. However, the impact of climate change on the narrow climate niches in which grapevine is currently cultivated constitute a great risk for future suitability of grapevine. In this context, grape simulation models are considered promising tools for their contribution to investigate plant behavior in different environments. In this study, six models developed for simulating grapevine growth and development were tested by focusing on their performances in simulating main grapevine processes under two calibration levels: minimum and full calibration. This would help to evaluate major limitations/strength points of these models, especially in the view of their application to climate change impact and adaptation assessments. Preliminary results from two models (GrapeModel and STICS) showed contrasting abilities in reproducing the observed data depending on the site, the year and the target variable considered. These results suggest that a limited dataset for model calibration would lead to poor simulation outputs. However, a more complete interpretation and detailed analysis of the results will be provided when considering the other models simulations.
    Keywords Climate Change ; Agriculture ; Food Security ; Joint Programming Initiative Topic
    Language English
    Document type Article
    DOI 10.4126/FRL01-006413062
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  9. Article ; Online: A Novel Correction Methodology to Improve the Performance of a Low-Cost Hyperspectral Portable Snapshot Camera.

    Genangeli, Andrea / Avola, Giovanni / Bindi, Marco / Cantini, Claudio / Cellini, Francesco / Riggi, Ezio / Gioli, Beniamino

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 24

    Abstract: The development of spectral sensors (SSs) capable of retrieving spectral information have opened new opportunities to improve several environmental and agricultural practices, e.g., crop breeding, plant phenotyping, land use monitoring, and crop ... ...

    Abstract The development of spectral sensors (SSs) capable of retrieving spectral information have opened new opportunities to improve several environmental and agricultural practices, e.g., crop breeding, plant phenotyping, land use monitoring, and crop classification. The SSs are classified as multispectral and hyperspectral (HS) based on the number of the spectral bands resolved and sampled during data acquisition. Large-scale applications of the HS remain limited due to the cost of this type of technology and the technical difficulties in hyperspectral data processing. Low-cost portable hyperspectral cameras (PHCs) have been progressively developed; however, critical aspects associated with data acquisition and processing, such as the presence of spectral discontinuities, signal jumps, and a high level of background noise, were reported. The aim of this work was to analyze and improve the hyperspectral output of a PHC Senop HSC-2 device by developing a general use methodology. Several signal gaps were identified as falls and jumps across the spectral signatures near 513, 650, and 930 nm, while the dark current signal magnitude and variability associated with instrumental noise showed an increasing trend over time. A data correction pipeline was successfully developed and tested, leading to 99% and 74% reductions in radiance signal jumps identified at 650 and 830 nm, respectively, while the impact of noise on the acquired signal was assessed to be in the range of 10% to 15%. The developed methodology can be effectively applied to other low-cost hyperspectral cameras.
    Language English
    Publishing date 2023-12-07
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23249685
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Changes in salivary flow rate and pH in pregnancy.

    Migliario, M / Bindi, M / Surico, D / De Pedrini, A / Minsenti, S / Pezzotti, F / Mele, B / Foglio Bonda, P L

    European review for medical and pharmacological sciences

    2021  Volume 25, Issue 4, Page(s) 1804–1810

    Abstract: Objective: To evaluate changes in pH and Flow Rate (FR) of the Unstimulated Whole Saliva (UWS) in a sample of pregnant women in different gestational periods.: Patients and methods: After collecting demographic data and medical histories, as well as ... ...

    Abstract Objective: To evaluate changes in pH and Flow Rate (FR) of the Unstimulated Whole Saliva (UWS) in a sample of pregnant women in different gestational periods.
    Patients and methods: After collecting demographic data and medical histories, as well as conducting an oral examination, a sample of pregnant women were instructed on how to prepare prior to the sample collection. At a time between 11.00 and 12.00 a.m., they were subjected to salivary collection (spitting method, time 5 minutes); the measurement of FR was carried out using a professionally calibrated precision scale and the pH with a portable pH meter.
    Results: The average FR of the women's detected sample (0.40 ± 0.20 ml/min) was lower than that of non-pregnant women (0.48 ± 0.15 ml/min) of the same age (p <0.05). We observed an increase (p <0.001) of FR in the first trimester (0.56 ± 0.20 ml/min) compared to second (0.34 ± 0.14 ml/min) and third (0.31 ± 0.14 ml/min) trimester. The salivary pH of pregnant women was lower than the one detected in the non-pregnant women's sample (p <0.0001).
    Conclusions: Our study highlighted an increase in the FR in the first trimester compared to that detected in the second and third trimesters of pregnancy which viceversa was lower than the average FR in non-pregnant women. This data, combined with the decrease in salivary pH, supports the hypothesis that correlates the FR increase with the attempt to counter the decrease in pH due to gastric regurgitation frequent in the first trimester. Further studies are necessary to evaluate salivary FR and pH in pregnant women samples related to the emesis phenomenon.
    MeSH term(s) Adult ; Female ; Humans ; Hydrogen-Ion Concentration ; Pregnancy ; Pregnancy Trimesters ; Salivary Glands/metabolism ; Secretory Rate
    Language English
    Publishing date 2021-02-24
    Publishing country Italy
    Document type Journal Article ; Observational Study
    ZDB-ID 605550-3
    ISSN 2284-0729 ; 1128-3602 ; 0392-291X
    ISSN (online) 2284-0729
    ISSN 1128-3602 ; 0392-291X
    DOI 10.26355/eurrev_202102_25074
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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