Achieving wheat self-sufficiency in Brazil

Diego Pequeno Senthold Asseng (2024, [Artículo])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT SELF SUFFICIENCY PRODUCTION

Wheat yield estimation from UAV platform based on multi-modal remote sensing data fusion

Urs Schulthess Azam Lashkari (2022, [Artículo])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RELIEF UNMANNED AERIAL VEHICLES WINTER WHEAT YIELDS

International Winter Wheat nurseries data: Facultative and Winter Wheat Observation Nurseries and International Winter Wheat yield trials for semi-arid and irrigated conditions

Mesut KESER fatih ozdemir Pietro Bartolini (2022, [Artículo])

Germplasm Exchange International Nurseries Multi-Locations CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WINTER WHEAT BREEDING GERMPLASM YIELDS DATA

Catching-up with genetic progress: Simulation of potential production for modern wheat cultivars in the Netherlands

João Vasco Silva Frits K. Van Evert Pytrik Reidsma (2023, [Artículo])

Context: Wheat crop growth models from all over the world have been calibrated on the Groot and Verberne (1991) data set, collected between 1982 and 1984 in the Netherlands, in at least 28 published studies to date including various recent ones. However, the recent use of this data set for calibration of potential yield is questionable as actual Dutch winter wheat yields increased by 3.1 Mg ha-1 over the period 1984 – 2015. A new comprehensive set of winter wheat experiments, suitable for crop model calibration, was conducted in Wageningen during the growing seasons of 2013–2014 and of 2014–2015. Objective: The present study aimed to quantify the change of winter wheat variety traits between 1984 and 2015 and to examine which of the identified traits explained the increase in wheat yield most. Methods: PCSE-LINTUL3 was calibrated on the Groot and Verberne data (1991) set. Next, it was evaluated on the 2013–2015 data set. The model was further recalibrated on the 2013–2015 data set. Parameter values of both calibrations were compared. Sensitivity analysis was used to assess to what extent climate change, elevated CO2, changes in sowing dates, and changes in cultivar traits could explain yield increases. Results: The estimated reference light use efficiency and the temperature sum from anthesis to maturity were higher in 2013–2015 than in 1982–1984. PCSE-LINTUL3, calibrated on the 1982–1984 data set, underestimated the yield potential of 2013–2015. Sensitivity analyses showed that about half of the simulated winter wheat yield increase between 1984 and 2015 in the Netherlands was explained by elevated CO2 and climate change. The remaining part was explained by the increased temperature sum from anthesis to maturity and, to a smaller extent, by changes in the reference light use efficiency. Changes in sowing dates, biomass partitioning fractions, thermal requirements for anthesis, and biomass reallocation did not explain the yield increase. Conclusion: Recalibration of PCSE-LINTUL3 was necessary to reproduce the high wheat yields currently obtained in the Netherlands. About half of the reported winter wheat yield increase was attributed to climate change and elevated CO2. The remaining part of the increase was attributed to changes in the temperature sum from anthesis to maturity and, to a lesser extent, the reference light use efficiency. Significance: This study systematically addressed to what extent changes in various cultivar traits, climate change, and elevated CO2 can explain the winter wheat yield increase observed in the Netherlands between 1984 and 2015.

Light Use Efficiency Potential Yield CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CROP MODELLING LIGHT PHENOLOGY MAXIMUM SUSTAINABLE YIELD TRITICUM AESTIVUM WINTER WHEAT

Response to heat stress and glutenins allelic variation effects on quality traits in durum wheat

Facundo Tabbita Karim Ammar Maria Itria Ibba MARCO MACCAFERRI ROBERTO TUBEROSA Carlos Guzman (2024, [Artículo])

Gluten Quality Sedimentation Volume Wheat Quality CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GLUTEN QUALITY GLUTENINS HEAT STRESS WHEAT

Planting rice at monsoon onset could mitigate the impact of temperature stress on rice–wheat systems of Bihar, India

Carlo Montes Anton Urfels Eunjin Han Balwinder-Singh (2023, [Artículo])

Rainy Season TIMESAT APSIM Agricultural Production Systems Simulator Climate Adaptation CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RICE WHEAT MONSOONS WET SEASON CROP MODELLING CLIMATE CHANGE ADAPTATION

Applications of in vitro tissue culture technologies in breeding and genetic improvement of wheat

Akila Wijerathna-Yapa BHOJA BASNET (2022, [Artículo])

Wheat Biotechnology Genome Editing Cas9 CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CRISPR GENE EDITING TISSUE CULTURE WHEAT BIOTECHNOLOGY

Fungal pathogens associated with crown and root rot in wheat-growing areas of Northern Kyrgyzstan

Göksel ÖZER SENOL YILDIZ MUSTAFA IMREN Abdelfattah DABABAT (2023, [Artículo])

Wheat Diseases Crown and Root Rot CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA TRITICUM WHEAT DISEASES ROOT ROTS PATHOGENICITY

Chapter 11. Genomic insights on global journeys of adaptive wheat genes that brought us to modern wheat

deepmala sehgal Laura Dixon Diego Pequeno Jose Crossa Alison Bentley Susanne Dreisigacker (2024, [Capítulo de libro])

Hexaploid Wheat Adaptive Genes Novel Genomic Regions Gene-Based Modeling Process-Based Modeling Global Food Security CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA HEXAPLOIDY WHEAT QUANTITATIVE TRAIT LOCI MODELLING FOOD SECURITY

Localisation of iron and zinc in grain of biofortified wheat

Theodora Stewart Paul Anthony Sharp Govindan Velu Malcolm Hawkesford (2022, [Artículo])

Wheat Grain Micronutrients LA-ICP-MS Localization CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BIOFORTIFICATION IRON TRACE ELEMENTS WHEAT ZINC