Publications by authors named "Channappa Gireesh"

Salinization of soils and freshwater resources by natural processes and/or human activities has become an increasing issue that affects environmental services and socioeconomic relations. In addition, salinization jeopardizes agroecosystems, inducing salt stress in most cultivated plants (nutrient deficiency, pH and oxidative stress, biomass reduction), and directly affects the quality and quantity of food production. Depending on the type of salt/stress (alkaline or pH-neutral), specific approaches and solutions should be applied to ameliorate the situation on-site.

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To combat the dreaded diseases in rice like bacterial blight (BB) and blast, host plant resistance has been advocated as the most suitable and sustainable method. Through the present study, we have successfully incorporated three major BB resistance genes, namely , and into NLR3449, a high yielding, blast resistant, fine-grain type, popular rice variety through marker-assisted backcross breeding. Foreground selection was carried out using polymerase chain reaction based, gene-specific markers, namely pTA248 (), xa13prom () and xa5FM () at each generation of backcrossing, while 127 polymorphic SSR markers spanning on 12 chromosomes were used for background selection and backcrossing was limited to two rounds.

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Article Synopsis
  • To enhance rice yields in direct seeded conditions, it’s important to develop rice varieties with strong weed competitiveness, which involves studying traits at both the physical and genetic levels.
  • Researchers identified 72 quantitative trait loci (QTLs) linked to 33 weed competitive traits in a population derived from O. glaberrima and O. sativa, revealing significant genetic variation and additive gene action.
  • Among the significant findings, 59 major QTLs were linked to important traits, with many favorable alleles coming from the O. glaberrima parent, highlighting its potential as a source for breeding more competitive rice varieties.
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MicroRNAs regulate plant responses to fungal infections and immunity. In this study, miRNAs were identified in six rice cultivars during a Kühn AG1-IA infection using a deep sequencing approach. Known and novel miRNAs were analyzed in these rice cultivars, and a set of fungal infection/immunity-associated miRNAs and target genes were quantified by reverse transcription (RT)-qPCR in six rice cultivars.

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