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Machine learning technique unraveled subspecies-specific ionomic variation with the preferential mineral enrichment in rice por Tiozon, Rhowell N., Buenafe, Reuben James, Jain, Vinay, Sen, Partha, Molina, Lilia R., Anacleto, Roslen, Sreenivasulu, Nese

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The genetics underlying metabolic signatures in a brown rice diversity panel and their vital role in human nutrition por Brotman, Yariv, Llorente-Wiegand, Cindy, Oyong, Glenn, Badoni, Saurabh, Misra, Gopal, Anacleto, Roslen, Parween, Sabiha, Pasion, Erstelle, Tiozon, Rhowell N., Anonuevo, Joanne J., deGuzman, Maria K., Alseekh, Saleh, Mbanjo, Edwige G. N., Boyd, Lesley A., Fernie, Alisdair R., Sreenivasulu, Nese

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OsTPR boosts the superior grains through increase in upper secondary rachis branches without incurring a grain quality penalty por Pasion, Erstelle A., Badoni, Saurabh, Misra, Gopal, Anacleto, Roslen, Parween, Sabiha, Kohli, Ajay, Sreenivasulu, Nese

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Balancing the double‐edged sword effect of increased resistant starch content and its impact on rice texture: its genetics and molecular physiological mechanisms por Parween, Sabiha, Anonuevo, Joanne J., Butardo, Vito M., Misra, Gopal, Anacleto, Roslen, Llorente, Cindy, Kosik, Ondrej, Romero, Marissa V., Bandonill, Evelyn H., Mendioro, Merlyn S., Lovegrove, Alison, Fernie, Alisdair R., Brotman, Yariv, Sreenivasulu, Nese

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Dissecting the genome-wide genetic variants of milling and appearance quality traits in rice por Misra, Gopal, Anacleto, Roslen, Badoni, Saurabh, Butardo, Vito, Molina, Lilia, Graner, Andreas, Demont, Matty, Morell, Matthew K., Sreenivasulu, Nese

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Integrating a genome‐wide association study with a large‐scale transcriptome analysis to predict genetic regions influencing the glycaemic index and texture in rice por Anacleto, Roslen, Badoni, Saurabh, Parween, Sabiha, Butardo, Vito M., Misra, Gopal, Cuevas, Rosa Paula, Kuhlmann, Markus, Trinidad, Trinidad P., Mallillin, Aida C., Acuin, Cecilia, Bird, Anthony R., Morell, Matthew K., Sreenivasulu, Nese

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Whole genome sequencing-based association study to unravel genetic architecture of cooked grain width and length traits in rice por Misra, Gopal, Badoni, Saurabh, Anacleto, Roslen, Graner, Andreas, Alexandrov, Nickolai, Sreenivasulu, Nese

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Investigating glycemic potential of rice by unraveling compositional variations in mature grain and starch mobilization patterns during seed germination por Guzman, Maria Krishna de, Parween, Sabiha, Butardo, Vito M., Alhambra, Crisline Mae, Anacleto, Roslen, Seiler, Christiane, Bird, Anthony R., Chow, Chung-Ping, Sreenivasulu, Nese

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