Browsing Fakultät für Agrarwissenschaften (inkl. GAUSS) by Referee "Beissinger, Timothy M. Prof. Dr."
Now showing items 1-6 of 6
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Evaluating a Collection of Agronomic Traits to Better Understand the Importance of Epistasis and Epistasis by Environment Interaction in Maize.
(2024-04-05)Maize, a key cereal crop, stands alongside wheat and rice in global importance. Its domestication from teosinte in southern Mexico 10,000 years ago marked a turning point in human agriculture. Over the centuries, maize has ... -
Linking crop modelling and experimentation to fully exploit genotypic diversity in barley for climate change adaptation in Europe
(2023-11-28)Summary Future barley production in Europe is projected to face severer and more frequent climate extreme events. Projections have also shown that potential climate-change induced yield losses can be significantly ... -
Functions of root mucilage for plant and soil: Quantifying its exudation, characterizing its composition, and assessing its influence on plant water and nitrogen uptake and rhizosphere microorganisms
(2022-12-06)Plants modify the chemical, biological, and physical properties of the soil around their roots by releasing a set of substances called rhizodeposits. Mucilage, a viscoelastic high-molecular-weight substance exuded by ... -
Arrays and beyond: Evaluation of marker technologies for chicken genomics
(2022-01-04)A key research question in livestock research is how livestock’s phenotypic diversity is shaped by its genomic diversity. Genomic diversity is thereby assessed through genomic markers. The use and definition of genomic ... -
Accounting for Epistasis in Genomic Phenotype Prediction
(2021-06-03)Wide availability of genomic data has had a considerable impact on plant and animal breeding programs which enables the study of genotypes and their relationships with phenotypes. Improving genomic prediction accuracy is ... -
Methods and software to enhance statistical analysis in large scale problems in breeding and quantitative genetics
(2019-11-08)The aim of this thesis is the development of methods and software to enhance the statistical analysis in large scale problems in breeding and quantitative genetics. In Chapter 1 a brief introduction to the subject of big ...