1School of Biological Sciences, University of Auckland, Auckland, New Zealand.
2Present address: Department of Metabolic Biology, John Innes Centre, Norwich, UK.
Hereditas. 2019 Oct 31;156:33. doi: 10.1186/s41065-019-0111-y. eCollection 2019.
A controversy arose over Mendel's pea crossing experiments after the statistician R.A. Fisher proposed how these may have been performed and criticised Mendel's interpretation of his data. Here we re-examine Mendel's experiments and investigate Fisher's statistical criticisms of bias. We describe pea varieties available in Mendel's time and show that these could readily provide all the material Mendel needed for his experiments; the characters he chose to follow were clearly described in catalogues at the time. The combination of character states available in these varieties, together with Eichling's report of crosses Mendel performed, suggest that two of his F3 progeny test experiments may have involved the same F2 population, and therefore that these data should not be treated as independent variables in statistical analysis of Mendel's data. A comprehensive re-examination of Mendel's segregation ratios does not support previous suggestions that they differ remarkably from expectation. The χ values for his segregation ratios sum to a value close to the expectation and there is no deficiency of extreme segregation ratios. Overall the χ values for Mendel's segregation ratios deviate slightly from the standard normal distribution; this is probably because of the variance associated with phenotypic rather than genotypic ratios and because Mendel excluded some data sets with small numbers of progeny, where he noted the ratios "deviate not insignificantly" from expectation.
孟德尔豌豆杂交实验在统计学家 R.A. 费希尔提出这些实验可能是如何进行的,并批评孟德尔对其数据的解释后,引起了争议。在这里,我们重新审视了孟德尔的实验,并研究了费希尔对偏差的统计批评。我们描述了孟德尔时代可用的豌豆品种,并表明这些品种可以轻易地为他的实验提供孟德尔所需的所有材料;他选择关注的特征在当时的目录中都有明确描述。这些品种中可用的特征状态组合,以及 Eichling 报告的孟德尔进行的杂交,表明他的两个 F3 后代测试实验可能涉及相同的 F2 群体,因此这些数据在孟德尔数据的统计分析中不应被视为独立变量。对孟德尔分离比的全面重新检查不支持以前的观点,即它们与预期有显著差异。他的分离比的 χ 值总和接近预期值,没有极端分离比的不足。总体而言,孟德尔的分离比的 χ 值略偏离标准正态分布;这可能是由于表型而不是基因型比的方差,以及孟德尔排除了一些后代数量较少的数据集,他在这些数据集中指出“偏离预期值并不显著”。