Cargando…
Description of grain weight distribution leading to genomic selection for grain-filling characteristics in rice
Grain-filling ability is one of the factors that controls grain yield in rice (Oryza sativa L.). We developed a method for describing grain weight distribution, which is the probability density function of single grain weight in a panicle, using 128 Japanese rice varieties. With this method, we quan...
Autores principales: | Yabe, Shiori, Yoshida, Hiroe, Kajiya-Kanegae, Hiromi, Yamasaki, Masanori, Iwata, Hiroyoshi, Ebana, Kaworu, Hayashi, Takeshi, Nakagawa, Hiroshi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245794/ https://www.ncbi.nlm.nih.gov/pubmed/30458025 http://dx.doi.org/10.1371/journal.pone.0207627 |
Ejemplares similares
-
Whole genome sequencing data of Oryza sativa L. cv. Takanari
por: Kajiya-Kanegae, Hiromi, et al.
Publicado: (2019) -
Island-Model Genomic Selection for Long-Term Genetic Improvement of Autogamous Crops
por: Yabe, Shiori, et al.
Publicado: (2016) -
Predicting biomass of rice with intermediate traits: Modeling method combining crop growth models and genomic prediction models
por: Toda, Yusuke, et al.
Publicado: (2020) -
Genomic Prediction of Biological Shape: Elliptic Fourier Analysis and Kernel Partial Least Squares (PLS) Regression Applied to Grain Shape Prediction in Rice (Oryza sativa L.)
por: Iwata, Hiroyoshi, et al.
Publicado: (2015) -
Coupling day length data and genomic prediction tools for predicting time-related traits under complex scenarios
por: Jarquin, Diego, et al.
Publicado: (2020)