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View article: Modeling the interplay of cultivars, irrigation regimes, and planting dates for optimizing cotton productivity in core and non-core cotton areas of Pakistan
Modeling the interplay of cultivars, irrigation regimes, and planting dates for optimizing cotton productivity in core and non-core cotton areas of Pakistan Open
View article: Breeding progress of grain and forage maize in long-term variety trials compared to on-farm yield development
Breeding progress of grain and forage maize in long-term variety trials compared to on-farm yield development Open
Key message Yield gaps between variety trials and on-farm yields show diverging trends for grain versus forage maize in Germany in 1987–2023. The yield gap between variety trials and on-farm reduced for grain yield from 30% (1987) to 23% (…
View article: Towards a comprehensive decision support system for agroforestry systems
Towards a comprehensive decision support system for agroforestry systems Open
Agroforestry systems (AFSs) enhance biodiversity, productivity, and climate resilience, yet their inherent complexity challenges traditional modeling approaches. This study presents an integrated framework combining process-based modeling …
View article: Impact of calibration strategy and data on wheat simulation with the DSSAT‐Nwheat model
Impact of calibration strategy and data on wheat simulation with the DSSAT‐Nwheat model Open
Cropping system models (CSMs) are valuable tools for analyzing genotype, environment, and management (G × E × M) interactions in crop production. To apply a CSM in a new region with specific soils, climate, and cultivars, proper calibratio…
View article: Smart plant disease diagnosis using multiple deep learning and web application integration
Smart plant disease diagnosis using multiple deep learning and web application integration Open
Accurate and efficient plant disease diagnosis is crucial for sustainable agriculture and global food security, as diseases significantly impact crop productivity. Despite advancements in deep learning, the performance and scalability of m…
View article: Hybridization of process-based models, remote sensing, and machine learning for enhanced spatial predictions of wheat yield and quality
Hybridization of process-based models, remote sensing, and machine learning for enhanced spatial predictions of wheat yield and quality Open
View article: N2o Emission Estimation as a Major Source of Uncertainty in Wheat Carbon Footprint Assessments
N2o Emission Estimation as a Major Source of Uncertainty in Wheat Carbon Footprint Assessments Open
View article: Climate Change Mitigation Through Improved Crop Rotations – Exploring Soc-N2o Trade-Offs for Germany Using the Dssat Model
Climate Change Mitigation Through Improved Crop Rotations – Exploring Soc-N2o Trade-Offs for Germany Using the Dssat Model Open
View article: Climate change induced heat and drought stress hamper climate change mitigation in German cereal production
Climate change induced heat and drought stress hamper climate change mitigation in German cereal production Open
View article: Impacts of climate change on spatial wheat yield and nutritional values using hybrid machine learning
Impacts of climate change on spatial wheat yield and nutritional values using hybrid machine learning Open
Wheat’s nutritional value is critical for human nutrition and food security. However, more attention is needed, particularly regarding the content and concentration of iron (Fe) and zinc (Zn), especially in the context of climate change (C…
View article: Do rotations with cover crops increase yield and soil organic carbon?—A modeling study in southwest Germany
Do rotations with cover crops increase yield and soil organic carbon?—A modeling study in southwest Germany Open
Conservation agriculture practices of crop rotation with permanent soil cover have been widely promoted for improving long-term agroecosystem resilience in the face of changing climate. However, there has been no comprehensive evaluation o…
View article: Correction to: Breeding progress of nitrogen use efficiency of cereal crops, winter oilseed rape and peas in long-term variety trials
Correction to: Breeding progress of nitrogen use efficiency of cereal crops, winter oilseed rape and peas in long-term variety trials Open
View article: Comprehensive evaluation of the DSSAT‐CSM‐CERES‐Wheat for simulating winter rye against multi‐environment data in Germany
Comprehensive evaluation of the DSSAT‐CSM‐CERES‐Wheat for simulating winter rye against multi‐environment data in Germany Open
Crop models are valuable tools for simulating and assessing genotype‐by‐environment interactions. In most studies, these models are parameterized based on crop data from a few sites and years, which often limits their applicability to a br…
View article: Remote sensing data assimilation for in-season wheat yield predictions
Remote sensing data assimilation for in-season wheat yield predictions Open
In-season information on expected crop yields is important for farmers' crop management and business planning, as well as for the entire agricultural and food sector. In addition, timely information on possible extreme yield losses in spec…
View article: Developing automated machine learning approach for fast and robust crop yield prediction using a fusion of remote sensing, soil, and weather dataset
Developing automated machine learning approach for fast and robust crop yield prediction using a fusion of remote sensing, soil, and weather dataset Open
Estimating smallholder crop yields robustly and timely is crucial for improving agronomic practices, determining yield gaps, guiding investment, and policymaking to ensure food security. However, there is poor estimation of yield for most …
View article: Breeding progress of nitrogen use efficiency of cereal crops, winter oilseed rape and peas in long-term variety trials
Breeding progress of nitrogen use efficiency of cereal crops, winter oilseed rape and peas in long-term variety trials Open
View article: Site conditions determine heat and drought induced yield losses in wheat and rye in Germany
Site conditions determine heat and drought induced yield losses in wheat and rye in Germany Open
Heat and drought are major abiotic stressors threatening cereal yields, but little is known about the spatio-temporal yield effect of these stressors. In this study, we assess genotype (G) × environment (E) × management (M) specific weathe…
View article: Gibberellin-sensitive dwarfing gene Ddw1 has no negative effect on the root system of field-grown winter rye
Gibberellin-sensitive dwarfing gene Ddw1 has no negative effect on the root system of field-grown winter rye Open
Rye is a small-grain cereal with an extensive and well-branched root system that is particularly suitable for grain production in marginal environments where other grain cereals, especially wheat, cannot thrive well. However, no significan…
View article: Timing and intensity of heat and drought stress determine wheat yield losses in Germany
Timing and intensity of heat and drought stress determine wheat yield losses in Germany Open
Crop yields are increasingly affected by climate change-induced weather extremes in Germany. However, there is still little knowledge of the specific crop-climate relations and respective heat and drought stress-induced yield losses. There…
View article: FAIRagro: Ein Konsortium in der Nationalen Forschungsdateninfrastruktur (NFDI) für Forschungsdaten in der Agrosystemforschung
FAIRagro: Ein Konsortium in der Nationalen Forschungsdateninfrastruktur (NFDI) für Forschungsdaten in der Agrosystemforschung Open
View article: Do Rotations with Cover Crops Increase Yield and Soil Organic Carbon?—A Modeling Study in Southwest Germany
Do Rotations with Cover Crops Increase Yield and Soil Organic Carbon?—A Modeling Study in Southwest Germany Open
View article: Coupling Process-Based Models and Machine Learning Algorithms for Predicting Yield and Evapotranspiration of Maize in Arid Environments
Coupling Process-Based Models and Machine Learning Algorithms for Predicting Yield and Evapotranspiration of Maize in Arid Environments Open
Crop yield prediction is critical for investigating the yield gap and potential adaptations to environmental and management factors in arid regions. Crop models (CMs) are powerful tools for predicting yield and water use, but they still ha…
View article: Breeding progress reduces carbon footprints of wheat and rye
Breeding progress reduces carbon footprints of wheat and rye Open
Crop breeding has boosted global agricultural productivity over recent decades, but little is known about its contribution to climate change mitigation. Here we assess greenhouse gas emissions per unit land (GHGL) and greenhouse gas emissi…
View article: Yield reduction due to diseases and lodging and impact of input intensity on yield in variety trials in five cereal crops
Yield reduction due to diseases and lodging and impact of input intensity on yield in variety trials in five cereal crops Open
Breeding of multi-resistant varieties to reduce yield loss due to disease damage and lodging, and reduction of input intensity are of high importance for a more sustainable cereal production. The aim of this study was to evaluate (i) yield…
View article: Wissenschaftliche Grundlagen zum Strategiediskurs für einen nachhaltigen Pflanzenbau
Wissenschaftliche Grundlagen zum Strategiediskurs für einen nachhaltigen Pflanzenbau Open
Summary Scientific facts about the relationships between the goals are indispensable for the rational social discourse on solving the various conflicting goals on the way to sustainable crop production. Therefore, the German Society for Ag…
View article: Timing and Intensity of Heat and Drought Stress Determine Wheat Yield Losses in Germany
Timing and Intensity of Heat and Drought Stress Determine Wheat Yield Losses in Germany Open
View article: Long-term breeding progress of yield, yield-related, and disease resistance traits in five cereal crops of German variety trials
Long-term breeding progress of yield, yield-related, and disease resistance traits in five cereal crops of German variety trials Open
Key message Considerable breeding progress in cereal and disease resistances, but not in stem stability was found. Ageing effects decreased yield and increased disease susceptibility indicating that new varieties are constantly needed. Abs…
View article: Mineral-Ecological Cropping Systems—A New Approach to Improve Ecosystem Services by Farming without Chemical Synthetic Plant Protection
Mineral-Ecological Cropping Systems—A New Approach to Improve Ecosystem Services by Farming without Chemical Synthetic Plant Protection Open
The search for approaches to a holistic sustainable agriculture requires the development of new cropping systems that provide additional ecosystem services beyond biomass supply for food, feed, material, and energy use. The reduction of ch…
View article: Breeding progress of disease resistance and impact of disease severity under natural infections in winter wheat variety trials
Breeding progress of disease resistance and impact of disease severity under natural infections in winter wheat variety trials Open
Key message Breeding progress of resistance to fungal wheat diseases and impact of disease severity on yield reduction in long-term variety trials under natural infection were estimated by mixed linear regression models. Abstract This stud…
View article: Klimawandel und mögliche Herausforderungen für den Pflanzenschutz – Gestern, heute, morgen
Klimawandel und mögliche Herausforderungen für den Pflanzenschutz – Gestern, heute, morgen Open
Das Klima und die Witterung sind prägende Faktoren für den Pflanzenschutz. Bereits vor 100 Jahren haben sich Wissenschaftler im Nachrichtenblatt für den Deutschen Pflanzenschutzdienst dieser Thematik gewidmet. Die Auswirkungen des Klimawan…