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Food supply

Evaluating Genotypes for Stability and High Yield in Rice Crucial for Sustainable Production and Food Security

Strategic Insights

— 1 min read

Rice producers in Uganda are being recommended new black rice varieties that demonstrate high yield and stability, as per a recent investigation published in the International Journal of Agronomy. Seventeen black rice genotypes and seven improved white varieties were tested across three Ugandan environments to evaluate genotype by environment interactions and trait correlations. The research found that plant height and panicle number were reliable indicators of high yield.

Key Takeaways:

  • Seventeen black rice genotypes and seven improved white varieties were tested across three Ugandan environments (Olweny, Kibimba, and Namulonge) to evaluate genotype by environment interactions and trait correlations.
  • Data were collected on yield, plant height, panicle number, panicle length, spikelet number, 100-grain weight, grain length, tiller number, grain width, and grain size.
  • Multivariate (AMMI and GGE biplot) stability parameters were used to analyze the data while Pearson's correlation method was used to obtain the association between traits.
  • Significant variances were observed for grain length, grain width, grain size, and yield in certain environments.
  • The research concluded that plant height and panicle number are reliable indicators of high yield in rice genotypes.
  • Further multiseason evaluations in farmers' production systems are recommended for these genotypes before their release as new black rice varieties in Uganda.
  • Nashim Nassanga from the Department of Agricultural Production led the investigation.

Statistics:

  • 17 black rice genotypes and 7 improved white varieties were tested in the study.
  • 3 Ugandan environments (Olweny, Kibimba, and Namulonge) were used for the experiment.
  • 10 agronomic traits (yield, plant height, panicle number, panicle length, spikelet number, 100-grain weight, grain length, tiller number, grain width, and grain size) were measured.
  • Pearson's correlation method was used to analyze the association between traits.
  • Multivariate (AMMI and GGE biplot) stability parameters were used to analyze the data.
  • The research concluded that grain length, grain width, grain size, and yield showed significant variances in certain environments.

Sources:

  • International Journal of Agronomy (https://www.hindawi.com/journals/ija/)
  • Department of Agricultural Production
  • Nashim Nassanga
  • Exploring Genotype by Environment Interactions for Yield and Agronomic Trait Correlations in Black and White Rice Genotypes in Uganda (International Journal of Agronomy, 2025)
  • Wiley (Publisher of International Journal of Agronomy)
  • NewsRx LLC (Copyright holder of Life Science Weekly)

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