Cargando…
Open-source analytical pipeline for robust data analysis, visualizations and sharing in crop breeding
BACKGROUND: Developing a systematic phenotypic data analysis pipeline, creating enhanced visualizations, and interpreting the results is crucial to extract meaningful insights from data in making better breeding decisions. Here, we provide an overview of how the Rainfed Rice Breeding (RRB) program a...
Autores principales: | Hussain, Waseem, Anumalla, Mahender, Catolos, Margaret, Khanna, Apurva, Sta. Cruz, Ma. Teresa, Ramos, Joie, Bhosale, Sankalp |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817612/ https://www.ncbi.nlm.nih.gov/pubmed/35123539 http://dx.doi.org/10.1186/s13007-022-00845-7 |
Ejemplares similares
-
Optimizing predictions in IRRI’s rice drought breeding program by leveraging 17 years of historical data and pedigree information
por: Khanna, Apurva, et al.
Publicado: (2022) -
Genetic Trends Estimation in IRRIs Rice Drought Breeding Program and Identification of High Yielding Drought-Tolerant Lines
por: Khanna, Apurva, et al.
Publicado: (2022) -
Developing Climate-Resilient, Direct-Seeded, Adapted Multiple-Stress-Tolerant Rice Applying Genomics-Assisted Breeding
por: Sandhu, Nitika, et al.
Publicado: (2021) -
Molecular Genetics and Breeding for Nutrient Use Efficiency in Rice
por: Ali, Jauhar, et al.
Publicado: (2018) -
Dissecting genomic regions and underlying sheath blight resistance traits in rice (
Oryza sativa
L.) using a genome‐wide association study
por: Naveenkumar, R, et al.
Publicado: (2023)