Phenotypic and Genetic Diversity of 46 Proso Millet Accessions in Northern Xinjiang

Two growing seasons (2023-2024) of data characterize the genetic diversity and phenotypic variation of 46 proso millet (Panicum miliaceum L.) germplasm resources in northern Xinjiang. The dataset includes measurements for five qualitative and twelve quantitative traits, such as grain yield and panicle characteristics. It was authored by Zhao Yun and published on figshare under a CC-BY-4.0 license.

Use Cases

• Predicting grain yield based on grain weight per panicle and main panicle length, as identified by stepwise regression.
• Clustering germplasm accessions into distinct groups for targeted breeding programs (e.g., dual-purpose, early-maturing, forage) based on trait profiles.
• Assessing the stability of genotype performance across years, given the reported non-significant genotype-by-environment interactions.
• Estimating the heritability of yield-related traits to understand their genetic control.

Strengths

• Data covers two growing seasons (2023-2024), allowing for analysis of temporal stability.
• Includes 46 distinct germplasm accessions evaluated for 17 traits (5 qualitative, 12 quantitative).
• Reports specific genetic diversity indices (e.g., H′ up to 2.12) and heritability estimates (e.g., H² up to 0.998) for key traits.
• Principal component analysis explains 70.13% of total variation, indicating well-captured structure.

Limitations

• Row count is unknown, which may limit suitability assessment for some modeling tasks.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small in size (22.3 KB), indicating limited scope and number of observations.

Provenance

Source

figshare, authored by Zhao Yun.

Collection Method

Experimental evaluation of germplasm accessions across two growing seasons.

Time Range

2023-2024

Freshness

Last updated 2026-05-19 10:56:11; freshness should be verified.

Geography

Northern Xinjiang