Literature DB >> 18073445

The tetrad-pollen model fails to explain the bias in Mendel's pea (Pisum sativum) experiments.

Daniel J Fairbanks1, G Bruce Schaalje.   

Abstract

For >40 years, geneticists and science historians have appealed to the tetrad-pollen model as an explanation of the bias toward expectation in Mendel's data, albeit without experimental support. Our experiments demonstrate that pollen sampling during self-pollination in pea conforms to the binomial distribution with no evidence of a tetrad-pollen effect.

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Year:  2007        PMID: 18073445      PMCID: PMC2219470          DOI: 10.1534/genetics.107.079970

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  7 in total

1.  Mendelian controversies: a botanical and historical review.

Authors:  D J Fairbanks; B Rytting
Journal:  Am J Bot       Date:  2001-05       Impact factor: 3.844

2.  On Fisher's criticism of Mendel's results with the garden pea.

Authors:  E Novitski
Journal:  Genetics       Date:  2004-03       Impact factor: 4.562

3.  Revision of Fisher's analysis of Mendel's garden pea experiments.

Authors:  Charles E Novitski
Journal:  Genetics       Date:  2004-03       Impact factor: 4.562

4.  An alternative possibility for seed coat color determinaton in Mendel's experiment.

Authors:  James R Myers
Journal:  Genetics       Date:  2004-03       Impact factor: 4.562

5.  Mud sticks: on the alleged falsification of Mendel's data.

Authors:  Daniel L Hartl; Daniel J Fairbanks
Journal:  Genetics       Date:  2007-03       Impact factor: 4.562

6.  Mendel's work as an introduction to genetics.

Authors:  J M Thoday
Journal:  Adv Sci       Date:  1966-07       Impact factor: 16.806

7.  Are Mendel's results really too close?

Authors:  A W Edwards
Journal:  Biol Rev Camb Philos Soc       Date:  1986-11
  7 in total
  1 in total

1.  Darwin's Influence on Mendel: Evidence from a New Translation of Mendel's Paper.

Authors:  Daniel J Fairbanks; Scott Abbott
Journal:  Genetics       Date:  2016-10       Impact factor: 4.562

  1 in total

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