Brown Planthopper (BPH), Nilaparvata lugens Stål, imposes a significant threat to the rice cultivation in Sri Lanka, generating 5-10% of annual yield losses. Rice farmers mainly adopt chemical methods to control the BPH attacks. The intensive use of insecticides is a crucial trigger for the development of resistance and hence continuous BPH outbreaks. Thus, the chemical methods of control do not provide a permanent solution to the BPH. The most recommended strategy of resolving the BPH crisis in rice is the development of resistant cultivars. Most of the Sri Lankan rice germplasm has already been screened for BPH resistance; however, reliable molecular breeding strategies must be implemented to acieve this target.Development of BPH resistant cultivars relies on utilizing appropriate genomic selection protocols in breeding schemes such as marker-assisted backcrossing.Therefore, a literature survey was carried out to evaluate BPH control methods and to emphasize the employment of backcross breeding with the genomic selection approach as a precise tool to develop BPH resistant rice varieties. The genetic basis of BPH resistance has been unravelled for many rice cultivars however, further screening is required to identify locally available resistant sources. The polymorphic markers for the foreground and background selection must be developed for the introgression of the BPH resistant genes and recovery of the recurrent parent genome. The validation of the markers developed in the international breeding and genetics programmes for the local germplasm is also an essential step prior to the genomic selection of BPH resistant rice varieties.
The Rice Research and Development Institute (RRDI) of Sri Lanka has developed five exportable rice cultivars; At 362, Bg 94-1, Bg 360, Bg 1165-2, and Bw-Bs-1-2-31.The present study was conducted to establish the identities of these five cultivars at caryopsis level in comparison compared to those of mega rice cultivars (Bg 352, Bg 300, Bg 358, Bg 359, Bg 357, Bg 379-2, and At 353) in Sri Lanka using DNA fingerprinting and sequencing. These rice cultivars were grown in a greenhouse and a field using breeder-seeds. The seeds were harvested and subjected to a morphometric analysis using decision tree algorithms based on the size and colour of seeds and caryopses. The algorithms estimated the percentage accuracy of detection based on morphometric analysis ranged from 3.13-84.38 %. Similar seed and caryopsis combinations were grouped and exposed them to a panel of human subjects to discriminate the samples in each combination and subjected the data to calculate Kappa (K) and inter-rater reliability (IRR) statistics. The K was always 0.00, and IRR was 27% implying the inability of accurate visual differentiation. In the DNA fingerprinting analysis, a set of six SSR markers (RM206, RM246, RM251, RM335, RM475, and RM23744) were selected that can establish the cultivar identity. In addition, the combined analysis of DNA sequencing of 12 cultivars with three selected loci, (Seq 7-8, HvSSR12-34 and RM23744) authenticated the varietal identities.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.