在全国历史数据中建模和使用空间效应改善了在日本大米头期的基因组预测

Shoji Taniguchi1, Takeshi Hayashi1, Hiroshi Nakagawa1

  • 1Research Center for Agricultural Information Technology, National Agricultural and Food Research Organization (NARO), Tsukuba, Japan.

Rice (New York, N.Y.)
|April 11, 2025
PubMed
概括

将空间效应纳入基因组预测模型显著提高了预测大米标题日期的准确性. 这种方法通过考虑历史试验数据的地理差异来增强作物育种.

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Wilcoxon Signed-Ranks Test for Median of Single Population01:14

Wilcoxon Signed-Ranks Test for Median of Single Population

The Wilcoxon signed-rank test for the median of a single population is a nonparametric test used to evaluate whether the median of a population differs from a specified value. Unlike parametric tests, it does not require data to follow a normal distribution, making it suitable for non-normal or small samples. The test begins by calculating the difference (d) between each observation and the hypothesized median. The absolute values of these differences are ranked in ascending order, with ties...
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