A5085818188- Genetic Mapping and Diversity in Plants and Animals
- Rice Cultivation and Yield Improvement
- Genetics and Plant Breeding
- Genetic and phenotypic traits in livestock
- GABA and Rice Research
- Insect-Plant Interactions and Control
- Plant Virus Research Studies
- Plant Disease Resistance and Genetics
- Insect Resistance and Genetics
International Rice Research Institute
2017-2023
Rice production needs to increase in the future order meet increasing demands. The development of new improved and higher yielding varieties more quickly will be needed this demand. However, most rice breeding programmes world have not changed several decades. In article, we revisit evidence favour using rapid generation advance (RGA) as a routine method. We describe preliminary activities at International Research Institute (IRRI) re-establish RGA on large scale main method for irrigated...
Abstract Rice genetic improvement is a key component of achieving and maintaining food security in Asia Africa the face growing populations climate change. In this effort, International Research Institute (IRRI) continues to play critical role creating disseminating rice varieties with higher productivity. Due increasing demand for rice, especially Africa, there strong need accelerate rate grain yield. an effort identify characterize elite breeding pool IRRI’s irrigated program, we analyzed...
In the last decade, association mapping (AM) has become a well-established method to detect genes and quantitative trait loci (QTLs) associated with agronomically important traits. The identification of large number single nucleotide polymorphisms (SNPs) from genome sequencing concurrent development high-throughput genotyping platforms led AM being widely used for range crops. These technologies have been in rice (Oryza sativa) explore abundant diversity there is enormous potential identify...
Abstract Background Assessing the performance of elite lines in target environments is essential for breeding programs to select most relevant genotypes. One main complexities this task resides accounting genotype by environment interactions. Genomic prediction models that integrate information from multi-environment trials and environmental covariates can be efficient tools context. The objective study was assess predictive ability different genomic optimize use information. We used 111...
The brown planthopper (BPH: Nilaparvata lugens Stål.) is a major pest of rice, Oryza sativa, in Asia. Host plant resistance has tremendous potential to reduce the damage caused rice by planthopper. However, effectiveness genes varies spatially and temporally according BPH virulence. Understanding patterns virulence against necessary efficiently sustainably deploy resistant varieties. To survey patterns, seven near-isogenic lines (NILs), each with single gene (BPH2-NIL, BPH3-NIL, BPH17-NIL,...
Abstract Rice genetic improvement is a key component of achieving and maintaining food security in Asia Africa the face growing populations climate change. In this effort, International Research Institute (IRRI) continues to play critical role creating disseminating rice varieties with higher productivity. Due increasing demand for rice, especially Africa, there strong need accelerate rate grain yield.In an effort identify characterize elite breeding pool IRRI’s irrigated program, we...
Abstract Ciherang has been a dominant variety in Indonesia for almost 2 decades and is considered to be premium rice Indonesia. Despite the importance of this variety, limited information available regarding genetic control grain quality traits. A backcross population (Ciherang-Sub1*2/IRRI148) was developed mapping range This study performed select promising families with similar as Ciherang-Sub1 identify QTLs associated from Ciherang-Sub1. Nine traits (chalkiness; seed length, width, shape;...
Abstract Background : Assessing the performance of elite lines in target environments is essential for breeding programs to select most relevant genotypes. One main complexities this task resides accounting genotype by environment interactions. Genomic prediction models that integrate information from multi-environment trials and environmental covariates can be efficient tools context. The objective study was assess predictive ability different genomic optimize use information. We used 111...