Literatura académica sobre el tema "Crop modelling, durum wheat, climate change, ideotype"

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Artículos de revistas sobre el tema "Crop modelling, durum wheat, climate change, ideotype"

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Urbanavičiūtė, Ieva, Luca Bonfiglioli, and Mario A. Pagnotta. "Diversity in Root Architecture of Durum Wheat at Stem Elongation under Drought Stress." Agronomy 12, no. 6 (2022): 1329. http://dx.doi.org/10.3390/agronomy12061329.

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Durum wheat is a major crop in the Mediterranean basin, where water deficit is the most important factor affecting its production. Under drought conditions, the root system has a crucial role in crop productivity as a water and nutrition supplier. The aim of the study was to analyze root system diversity in six contrasting durum wheat accessions, including two hydric stress-tolerant genotypes, and to evaluate root traits using the high-throughput phenotyping scanner Win-RHIZO in order to determine the main traits to be used in breeding programs. Six durum wheat accessions were subjected to two
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2

Urbanavičiūtė, Ieva, Luca Bonfiglioli, and Mario A. Pagnotta. "Diversity in root architecture of durum wheat at stem elongation under drought stress." Agronomy 12, no. 6 (2022): 1329. https://doi.org/10.3390/agronomy12061329.

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Durum wheat is a major crop in the Mediterranean basin, where water deficit is the most important factor affecting its production. Under drought conditions, the root system has a crucial role in crop productivity as a water and nutrition supplier. The aim of the study was to analyze root system diversity in six contrasting durum wheat accessions, including two hydric stress-tolerant genotypes, and to evaluate root traits using the high-throughput phenotyping scanner Win-RHIZO in order to determine the main traits to be used in breeding programs. Six durum wheat accessions were subjected to two
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3

Dettori, Marco, Carla Cesaraccio, Pierpaolo Duce, and Valentina Mereu. "Performance Prediction of Durum Wheat Genotypes in Response to Drought and Heat in Climate Change Conditions." Genes 13, no. 3 (2022): 488. http://dx.doi.org/10.3390/genes13030488.

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With an approach combining crop modelling and biotechnology to assess the performance of three durum wheat cultivars (Creso, Duilio, Simeto) in a climate change context, weather and agronomic datasets over the period 1973–2004 from two sites, Benatzu and Ussana (Southern Sardinia, Itay), were used and the model responses were interpreted considering the role of DREB genes in the genotype performance with a focus on drought conditions. The CERES-Wheat crop model was calibrated and validated for grain yield, earliness and kernel weight. Forty-eight synthetic scenarios were used: 6 scenarios with
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4

Ibrahim, Hatem, Sinda Gaieb, Nadhem Brahim, Didier Blavet, Karel Van den Meersche, and Marc Pansu. "Modelling the Organic Evolution of a Mediterranean Limestone Soil under Usual Cropping of Durum Wheat and Faba Bean." Agronomy 11, no. 9 (2021): 1688. http://dx.doi.org/10.3390/agronomy11091688.

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The modeling of carbon (C) and nitrogen (N) fluxes between microorganisms and plants in pure and associated cultures of durum wheat and faba bean demonstrated a close link between the C and N cycles in agroecosystems. The MOMOS (microorganisms and organic matter of soils) model integrates simplified descriptions of photosynthesis (origin of organic C in soil), N microbial exchange (soil origin for N), N fixation (atmospheric origin for N), and plant growth with an organic matter decomposition core that has the soil microbial community at its center. This work provides estimates of the exchange
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5

Lekakis, Emmanuel, Athanasios Zaikos, Alexios Polychronidis, Christos Efthimiou, Ioannis Pourikas, and Theano Mamouka. "Evaluation of Different Modelling Techniques with Fusion of Satellite, Soil and Agro-Meteorological Data for the Assessment of Durum Wheat Yield under a Large Scale Application." Agriculture 12, no. 10 (2022): 1635. http://dx.doi.org/10.3390/agriculture12101635.

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Food and feed production must be increased or maintained in order to meet the demands of the earth's population. Under this scenario, the question that arises is how to address the demand for agricultural products given that the pressures on land use have already increased. In addition, it is obvious that climate change will have a serious negative impact and threaten the productivity and sustainability of food production systems. Therefore, understanding and predicting the outcome of crop production, while considering adaptation and sustainability, is essential. The need for information on de
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6

Bożek, Kamila S., Krystyna Żuk-Gołaszewska, Anna Bochenek, Janusz Gołaszewski, and Hazem M. Kalaji. "Modelling the growth, development and yield of Triticum durum Desf under the changes of climatic conditions in north-eastern Europe." Scientific Reports 11, no. 1 (2021). http://dx.doi.org/10.1038/s41598-021-01273-8.

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AbstractHow agricultural ecosystems adapt to climate change is one of the most important issues facing agronomists at the turn of the century. Understanding agricultural ecosystem responses requires assessing the relative shift in climatic constraints on crop production at regional scales such as the temperate zone. In this work we propose an approach to modeling the growth, development and yield of Triticum durum Desf. under the climatic conditions of north-eastern Poland. The model implements 13 non-measurable parameters, including climate conditions, agronomic factors, physiological process
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Zingale, Silvia, Carlo Ingrao, Alba Reguant-Closa, Paolo Guarnaccia, and Thomas Nemecek. "A multifunctional life cycle assessment of durum wheat cropping systems." Agronomy for Sustainable Development 44, no. 5 (2024). http://dx.doi.org/10.1007/s13593-024-00982-4.

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AbstractAgricultural systems strongly impact ecosystems by driving terrestrial degradation, water depletion, and climate change. The Life Cycle Assessment allows for comprehensive analyses of the environmental impacts of food production. Nonetheless, its application still faces challenges due to cropping systems’ increased complexity and multifunctionality. Past research has emphasized the need for more holistic approaches to consider dynamic crop interactions and diverse functions of cropping systems, beyond just meeting the demand for foods and feeds. In this context, this study applied an a
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Tesis sobre el tema "Crop modelling, durum wheat, climate change, ideotype"

1

Padovan, Gloria. "Investigating the future climate change impact in the Mediterranean basin to identify the improving durum wheat physiological characteristics." Doctoral thesis, 2019. http://hdl.handle.net/2158/1150458.

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Among the management practices that have a major role in determining the final yield of durum wheat, both in terms of quantity and in terms of quality, the choice of sowing date and variety are the most important. For this reason, SiriusQuality was applied in each selected location to investigate the genotype x environment x management interaction and to identify the sowing window able to optimize the yield. The advance of the sowing window compared to the traditional one, allowed to obtain a higher yield at the expense of the grain quality. Furthermore, at all locations, Karim variety was the
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