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

Abiotic stress tolerance: Genetics, genomics, and breeding

Yunbi Xu Rajeev Varshney (2023, [Artículo])

Wheat Ancestors Modern Varieties Agronomic Performance CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ABIOTIC STRESS GENETICS GENOMICS BREEDING GERMPLASM DROUGHT STRESS

Nitrogen deficiency tolerance and responsiveness of durum wheat genotypes in Ethiopia

Tesfaye Geleta Aga Kebebew Assefa Bekele Abeyo (2022, [Artículo])

Low-Nitrogen Tolerance Yield Reduction Tolerant Genotypes Parental Donors CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA NITROGEN HARD WHEAT GENOTYPES

Characterization of Mediterranean durum wheat for resistance to Pyrenophora tritici-repentis

marwa laribi Khaled Sassi Sarrah Ben M'barek (2022, [Artículo])

Tan Spot Durum Wheat Phenotypic Diversity CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SPOTS HARD WHEAT LANDRACES PHENOTYPIC VARIATION PLANT HEIGHT DISEASE RESISTANCE

Multispectral-derived genotypic similarities from budget cameras allow grain yield prediction and genomic selection augmentation in single and multi-environment scenarios in spring wheat

Jose Crossa Osval Antonio Montesinos-Lopez Morten Lillemo (2024, [Artículo])

Multispectral Imaging Grain Yield Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GRAIN YIELDS HIGH-THROUGHPUT PHENOTYPING SPRING WHEAT

Climate smart bread wheat (Triticum aestivum L.) variety development for optimum moisture areas of Ethiopia

Bekele Abeyo Ayele Badebo Huluka (2023, [Artículo])

GGE Biplot AMMI Model CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SOFT WHEAT ENVIRONMENT GENOTYPES GRAIN YIELDS

Molecular markers help with breeding for agronomic traits of spring wheat in Kazakhstan and Siberia

Alexey Morgounov Cecile Ben Susanne Dreisigacker Laurent Gentzbittel awais rasheed Timur Savin Sergey Shepelev Vladimir Shamanin (2024, [Artículo])

DNA Markers Grain Yield CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CEREALS DNA GENOTYPE ENVIRONMENT INTERACTION GRAIN YIELDS SPRING WHEAT

Rust research to enhance resistance durability

sridhar bhavani (2022, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RUSTS DISEASE RESISTANCE SPRING WHEAT GENETIC DIVERSITY (AS RESOURCE) ADULT PLANT RESISTANCE

Assessment of resistance to cereal cyst nematodes, Heterodera avenae in Moroccan durum and bread wheat elite breeding lines

Abdelfattah DABABAT fouad mokrini (2023, [Artículo])

Durum Wheat Bread Wheat Cereal Cyst Nematodes Nematode Reproduction Factors CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA HETERODERA AVENAE HARD WHEAT SOFT WHEAT NEMATODES RESISTANCE VARIETIES SUSTAINABLE PRODUCTION CEREALS

Rust research to enhance resistance durability

sridhar bhavani (2023, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RUSTS DISEASE RESISTANCE SPRING WHEAT GENETIC DIVERSITY (AS RESOURCE) ADULT PLANT RESISTANCE