Chapter 17. Conserving wheat genetic resources

Filippo Guzzon Maraeva Gianella Thomas Payne (2022, [Capítulo de libro])

Genetic Reserves Seed Conservation Wheat Wild Relatives CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GERMPLASM BANKS ON-FARM CONSERVATION SEEDS SEED VIABILITY WHEAT

Genome-wide association study of common resistance to rust species in tetraploid wheat

Daniela Marone Anna Maria Mastrangelo Karim Ammar Filippo Maria Bassi Meinan Wang Xianming Chen Diego Rubiales Oadi Matny Brian Steffenson (2024, [Artículo])

Wheat Rusts Tetraploid Wheat Multi-Location Trials CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA QUANTITATIVE TRAIT LOCI TETRAPLOIDY WHEAT RUSTS GENOME-WIDE ASSOCIATION STUDIES

Visualising the pattern of long-term genotype performance by leveraging a genomic prediction model

Vivi Arief Ian Delacy Thomas Payne Kaye Basford (2022, [Artículo])

Factor Analytic Genotype-By-Year Historical Data Relationship Matrix CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOTYPES PLANT BREEDING SPRING WHEAT RESEARCH

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

Determining factors of durum wheat bread loaf volume and alveograph characteristics under optimal, drought and heat stress conditions

Maryke Labuschagne Carlos Guzman Jose Crossa Angeline van Biljon (2023, [Artículo])

Loaf Volume Durum Wheat Flour Protein Content CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ALVEOGRAPHS HARD WHEAT HEAT STRESS DROUGHT STRESS

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

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

Expanding the WOFOST crop model to explore options for sustainable nitrogen management: A study for winter wheat in the Netherlands

João Vasco Silva Pytrik Reidsma (2024, [Artículo])

Nitrogen (N) management is essential to ensure crop growth and to balance production, economic, and environmental objectives from farm to regional levels. This study aimed to extend the WOFOST crop model with N limited production and use the model to explore options for sustainable N management for winter wheat in the Netherlands. The extensions consisted of the simulation of crop and soil N processes, stress responses to N deficiencies, and the maximum gross CO2 assimilation rate being computed from the leaf N concentration. A new soil N module, abbreviated as SNOMIN (Soil Nitrogen for Organic and Mineral Nitrogen module) was developed. The model was calibrated and evaluated against field data. The model reproduced the measured grain dry matter in all treatments in both the calibration and evaluation data sets with a RMSE of 1.2 Mg ha−1 and the measured aboveground N uptake with a RMSE of 39 kg N ha−1. Subsequently, the model was applied in a scenario analysis exploring different pathways for sustainable N use on farmers' wheat fields in the Netherlands. Farmers' reported yield and N fertilization management practices were obtained for 141 fields in Flevoland between 2015 and 2017, representing the baseline. Actual N input and N output (amount of N in grains at harvest) were estimated for each field from these data. Water and N-limited yields and N outputs were simulated for these fields to estimate the maximum attainable yield and N output under the reported N management. The investigated scenarios included (1) closing efficiency yield gaps, (2) adjusting N input to the minimum level possible without incurring yield losses, and (3) achieving 90% of the simulated water-limited yield. Scenarios 2 and 3 were devised to allow for soil N mining (2a and 3a) and to not allow for soil N mining (2b and 3b). The results of the scenario analysis show that the largest N surplus reductions without soil N mining, relative to the baseline, can be obtained in scenario 1, with an average of 75%. Accepting negative N surpluses (while maintaining yield) would allow maximum N input reductions of 84 kg N ha−1 (39%) on average (scenario 2a). However, the adjustment in N input for these pathways, and the resulting N surplus, varied strongly across fields, with some fields requiring greater N input than used by farmers.

Crop Growth Models WOFOST CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CROPS NITROGEN-USE EFFICIENCY WINTER WHEAT SOIL WATER