Genetic Analysis of Agronomic Traits and Grain Iron and Zinc Concentrations in a Doubled Haploid Population of Rice (Oryza sativa L.)

Autor: Celia B. Dela Viña, Teresita H. Borromeo, Gwen Iris Descalsota-Empleo, Zin Mar Swe, Mary Ann Inabangan-Asilo, Chau Thanh Nha, Russell F. Reinke, B. P. Mallikarjuna Swamy, Amery Amparado, Antonio G. Lalusin, Andrea Kariza Formantes, Merlyn S. Mendioro, Mark Ian C. Calayugan, Jose E. Hernandez, Ma. Genaleen Q. Diaz
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-14 (2020)
ISSN: 2045-2322
Popis: The development of micronutrient dense rice varieties with good agronomic traits is one of the sustainable and cost-effective approaches for reducing malnutrition. Identification of QTLs for high grain Fe and Zn, yield and yield components helps in precise and faster development of high Fe and Zn rice. We carried out a three-season evaluation using IR05F102 x IR69428 derived doubled-haploid population at IRRI. Inclusive composite interval mapping was carried out using SNP markers and Best Linear Unbiased Estimates of the phenotypic traits. A total of 23 QTLs were identified for eight agronomic traits and grain Fe and Zn concentration that explained 7.2 to 22.0% PV. A QTL by environment interaction analysis confirmed the stability of nine QTLs, including two QTLs for Zn on chromosomes 5 and 12. One epistatic interaction for plant height was significant with 28.4% PVE. Moreover, five QTLs were identified for Fe and Zn that harbor several candidate genes, e.g. OsZIP6 on QTL qZn5.1. A number of QTLs were associated with a combination of greater yield and increased grain Zn levels. These results are useful for development of new rice varieties with good agronomic traits and high grain Zn using MAS, and identification of genetic resources with the novel QTLs for grain Zn.
Databáze: OpenAIRE