Publications by authors named "S Neelamraju"

Article Synopsis
  • Grain weight (GW) significantly impacts cereal crop yield, and a study analyzed 105 backcross introgression lines (BILs) and 90 chromosome segment substitution lines (CSSLs) over four wet seasons to evaluate thousand-grain weight (TGW).
  • The study identified various NPS and NPK lines with either positive or negative impacts on TGW, and through QTL mapping, 13 QTLs were detected in NPS with notable effects on grain weight, while 10 were found in NPK.
  • Notably, a specific grain weight QTL was fine-mapped to a 31 kb region, which includes the GRAS transcription factor gene, suggesting its potential role in enhancing grain weight in the
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The brown planthopper (BPH) is a highly destructive pest of rice, causing significant economic losses in various regions of South and Southeast Asia. Researchers have made promising strides in developing resistance against BPH in rice. Introgression line RPBio4918-230S, derived from , has shown consistent resistance to BPH at both the seedling and adult stages of rice plants.

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Identification of trait enhancing QTLs for yield and photosynthesis-related traits in rice using interspecific mapping population and chromosome segment substitution lines derived from a cross between Oryza sativa and Oryza rufipogon. Wild rice contains novel genes which can help in improving rice yield. Common wild rice Oryza rufipogon is a known source for enhanced photosynthesis and yield-related traits.

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The genomes of an elite rice restorer line KMR3 (salinity-sensitive) and its salinity-tolerant introgression line IL50-13, a popular variety of coastal West Bengal, India, were sequenced. High-quality paired-end reads were obtained for KMR3 (147.6 million) and IL50-13 (131.

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Article Synopsis
  • Wild introgressions enhance crops by adding new alleles and increasing genetic diversity; this study utilized two backcross alien introgression lines for mapping QTLs related to yield traits.
  • Field evaluations across multiple seasons showed strong correlations between traits like plant height and tiller number with single plant yield, leading to the identification of 21, 30, and 17 QTLs in different generations.
  • Key QTLs linked to yield traits were clustered in specific chromosomal regions, with certain lines showing significantly improved yield characteristics, highlighting their potential for future crop improvement efforts.
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