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Elephantgrass (Pennisetum purpureum, 2n = 4x = 28) produces large amounts of biomass in tropical and subtropical regions and is considered a prime candidate for lignocellulosic biofuel production. Interspecific hybridization between elephantgrass and pearl millet (Pennisetum glaucum, 2n = 2x = 14) may allow improvement of drought tolerance and biomass(More)
Pearl millet is a staple food crop for millions of people living in the arid and semi-arid tropics. Molecular markers have been used to identify genomic regions linked to traits of interest by conventional QTL mapping and association analysis. Phenotypic recurrent selection is known to increase frequencies of favorable alleles and decrease those unfavorable(More)
Sugarcane (Saccharum spp. hybrids) accounts for 80% of the table sugar produced worldwide and is also a prime feedstock for biofuel production. However, very few studies are available for directly comparing Agrobacterium tumefaciens-mediated transfer of T-DNA (AMT) and biolistic transfer of minimal expression cassettes (BLT MC) regarding transgene(More)
Sugarcane (Saccharum spp. hybrids) is a major feedstock for commercial bioethanol production. The recent integration of conversion technologies that utilize lignocellulosic sugarcane residues as well as sucrose from stem internodes has elevated bioethanol yields. RNAi suppression of lignin biosynthetic enzymes is a successful strategy to improve the(More)
Bahiagrass (Paspalum notatum Flugge) is a warm season, low-input, perennial turfgrass used for residential lawns and sides of road ways. The turf quality of bahiagrass is limited by its open growth habit, light green color, and prolific production of tall seedheads. Genetic improvement of the tetraploid bahiagrass turf cultivar ‘Argentine’ by conventional(More)
A study is carried out to investigate the sensitivity of Z-R relations and spatial variability of error in a Doppler Weather Radar (DWR) measured rain intensity. For this purpose, observations from a DWR at Satish Dhawan Space Centre, SHAR (13.66°N, 80.23°E) and five units of automatic tipping bucket rain gauges around the DWR are utilized. It is found that(More)
A soft computing model for nowcasting of Yes/No rain situations, with a lead time of 2 h, is developed over DWR station at Satish Dhawan Space Centre (SDSD), Shriharikota (13.66°N, 80.23°E) using Doppler weather radar (DWR) reflectivity imageries. Primarily, precipitating systems of mesoscale, i.e. meso-gamma (2-20 km), meso-beta (20-200 km) and meso-alpha(More)
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