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Exploration of selective genotyping and selective phenotyping for optimization of soybean genomic prediction models
(Vienna : University of Natural Resources and Life Sciences (BOKU), 2023)
The accuracy of genomic selection can be affected by several factors including trait architecture and heritability, marker density, linkage disequilibrium between markers and trait loci, statistical models, training ...
Phenomic selection in soybean breeding
(Vienna : University of Natural Resources and Life Sciences (BOKU), 2023)
Phenomic selection is a promising complement and alternative to genomic selection for improving breeding efficiency. The major advantage of using near-infrared spectroscopy (NIRS) to indirectly capture phenotypic variants ...
Soybean phenotyping: ideotypes for organic breeding
(Vienna : University of Natural Resources and Life Sciences (BOKU), 2023)
The creation of focused breeding programs for organic farming systems was encouraged by the expanding market for organic farming. Breeding efforts are being stimulated by the rising demand for soybean varieties that are ...
Soybean nutritional quality: introduction of the winter cover crops in soybean rotations
(Vienna : University of Natural Resources and Life Sciences (BOKU), 2023)
Soybean (Glycine max L. Merill) is a high‐value crop due to its high content of protein and oil, which contribute nutrients to both humans and animals. The objective of this study was to evaluate the effects of the winter ...