Credit hours
In-class work per week |
Practice per week |
Credits |
Duration |
Total |
3 |
1 |
8 |
15 weeks |
120 hours |
Instructor
Roberto Fritsche Neto
Objective
This course aims to provide the students knowledge and training in the area of high-throughput phenotyping applied to genetics and plant breeding for both field and greenhouse experiments. Thus, it ranges from base science, which involves studies of inheritance and genetic control of traits, to applied research, such as the study of selective schemes and training populations for the development and improvement of cultivars, as well as to increase their efficiency.
Content
Principles of remote sensing; experiment preparation and data acquisition; vegetation indices, spectral bands and their applications; root phenotyping; envirotyping; phenotyping devices and their uses; integrated platforms for data collection; use of algorithms and cross-validation in image data; software and apps for image collection and processing; integration of high-throughput phenotyping data with prediction models.
Bibliography
Borém, Aluízio (Org.) ; FRITSCHE-NETO, Roberto (Org.) . Omics in Plant Breeding. 1. ed. Oxford, UK: Wiley Blackwell, 2014. v. 1. 248p.
Borém, Aluízio (Org.) ; FRITSCHE-NETO, Roberto (Org.) . Biotechnology and Plant Breeding: Applications and Approaches for Developing Improved Cultivars. 1. ed. San Diego: Elsevier, 2014. v. 1. 257p.
Borém, Aluízio ; Miranda, Glauco Vieira ; FRISCHE-NETO, ROBERTO . Melhoramento de Plantas. 7. ed. Viçosa: Editora UFV, 2017. v. 1. 543p.
FRITSCHE-NETO, Roberto; Borém, Aluízio (Org.) . Phenomics: How Next-Generation Phenotyping is Revolutionizing Plant Breeding. 1. ed. Heidelberg: Springer, 2015. v. 1. 142p.
Jones, Hamlyn and Vaughan, Robin. Remote Sensing of Vegetation: Principles, Techniques, and Applications 1. Ed. Oxford: Oxford University Press, 2010. 353p.