A5083383660- Horticultural and Viticultural Research
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Plant and animal studies
- Leaf Properties and Growth Measurement
- Remote Sensing in Agriculture
- Advanced Multi-Objective Optimization Algorithms
- Plant Virus Research Studies
- Remote Sensing and LiDAR Applications
- Wheat and Barley Genetics and Pathology
Michigan State University
2020-2024
Premise Leaf morphology is dynamic, continuously deforming during leaf expansion and among leaves within a shoot. Here, we measured the of more than 200 grapevines ( Vitis spp.) over four years modeled changes in shape along shoot to determine whether composite comprising all from single can better capture variation predict species identity compared with individual leaves. Methods Using homologous universal landmarks found grapevine leaves, various morphological features as polynomial...
Abstract Plant breeding is a complex endeavor that almost always multi-objective in nature. In recent years, stochastic simulations have been used by breeders to assess the merits of alternative strategies and assist decision making. addition simulations, visualization Pareto frontier for multiple competing objectives can This paper introduces Python Breeding Optimizer Simulator (PyBrOpS), package capable performing optimization pipelines. PyBrOpS unique among other simulation platforms it...
Abstract Plant breeding is a complex endeavor that almost always multi-objective in nature. In recent years, stochastic simulations have been used by breeders to assess the merits of alternative strategies and assist decision-making. addition simulations, visualization Pareto frontier for multiple competing objectives can This paper introduces Python Breeding Optimizer Simulator (PyBrOpS), package capable performing optimization pipelines. PyBrOpS unique among other simulation platforms it...
ABSTRACT Premise of study Leaf morphology is dynamic, continuously deforming during leaf expansion and among leaves within a shoot. We measured from over 200 vines four years, modeled changes in shape along the shoot to determine if composite “shape shapes” can better capture variation predict species identity compared individual leaves. Methods Using homologous universal landmarks found grapevine leaves, we various morphological features as polynomial function node. The resulting functions...
Earth and Space Science Open Archive Presented WorkOpen AccessYou are viewing the latest version by default [v1]Modeling canopy architecture traits using UAS-acquired LiDAR features in diverse maize varietiesAuthorsDanielMorrisiDRobertShroteiDRuijuanTaniDLinseyNewtoniDRobertGoodwiniDErinBuntingiDAlexanderLipkaPederOlseniDAddieThompsoniDSee all authors Daniel MorrisiDMichigan State UniversityiDhttps://orcid.org/0000-0003-3032-5511view email addressThe was not providedcopy addressRobert...
Choosing a suitable breeding strategy is essential to the success of plant program. Simulations are an important tool that allow breeders propose and assess merits alternative strategies. The Python package PyBrOpS provides highly flexible modular framework make optimized selection decisions perform stochastic simulations programs. utilizes customizable scripting-based approach constructing optimizations. Through use software interfaces for extensibility, user may implement custom modules...
Earth and Space Science Open Archive This is a preprint has not been peer reviewed. ESSOAr venue for early communication or feedback before review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Modeling canopy architecture traits using UAS-acquired LiDAR features in diverse maize varietiesAuthorsDaniel DMorrisiDRobert ZShroteiDRuijuanTaniDLinseyNewtoniDRobert FGoodwiniDErin LBuntingiDAlexander ELipkaPeder...