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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
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
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
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
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
Facundo Tabbita Iván Ortíz-Monasterios Francisco Javier Pinera-Chavez Maria Itria Ibba Carlos Guzman (2023, [Artículo])
BACKGROUND: Continuous development of new wheat varieties is necessary to satisfy the demands of farmers, industry, and consumers. The evaluation of candidate genotypes for commercial release under different on-farm conditions is a strategy that has been strongly recommended to assess the performance and stability of new cultivars in heterogeneous environments and under different farming systems. The main objectives of this study were to evaluate the grain yield and quality performance of ten different genotypes across six contrasting farmers' field conditions with different irrigation and nitrogen fertilization levels, and to develop suggestions to aid breeding programs and farmers to use resources more efficiently. Genotype and genotype by environment (GGE) interaction biplot analyses were used to identify the genotypes with the strongest performance and greatest stability in the Yaqui Valley. RESULTS: Analyses showed that some traits were mainly explained by the genotype effect, others by the field management conditions, and the rest by combined effects. The most representative and diverse field conditions in the Yaqui Valley were also identified, a useful strategy when breeders have limited resources. The independent effects of irrigation and nitrogen levels and their interaction were analyzed for each trait. The results showed that full irrigation was not always necessary to maximize grain yield in the Yaqui Valley. Other suggestions for more efficient use of resources are proposed. CONCLUSIONS: The combination of on-farm trials with GGE interaction analyses is an effective strategy to include in breeding programs to improve processes and resources. Identifying the most outstanding and stable genotypes under real on-farm systems is key to the development of novel cultivars adapted to different management and environmental conditions.
Wheat Quality Bread Wheat Bread-Making CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SOFT WHEAT QUALITY FARMING SYSTEMS
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