Literature DB >> 9611217

Properties of maximum likelihood male fertility estimation in plant populations.

M T Morgan1.   

Abstract

Computer simulations are used to evaluate maximum likelihood methods for inferring male fertility in plant populations. The maximum likelihood method can provide substantial power to characterize male fertilities at the population level. Results emphasize, however, the importance of adequate experimental design and evaluation of fertility estimates, as well as limitations to inference (e.g., about the variance in male fertility or the correlation between fertility and phenotypic trait value) that can be reasonably drawn.

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Year:  1998        PMID: 9611217      PMCID: PMC1460159     

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


  3 in total

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Authors:  J F CROW
Journal:  Hum Biol       Date:  1958-02       Impact factor: 0.553

2.  Parentage analysis with genetic markers in natural populations. I. The expected proportion of offspring with unambiguous paternity.

Authors:  R Chakraborty; T R Meagher; P E Smouse
Journal:  Genetics       Date:  1988-03       Impact factor: 4.562

3.  Genetic analysis of male reproductive contributions in Chamaelirium luteum (L.) gray (Liliaceae).

Authors:  P E Smouse; T R Meagher
Journal:  Genetics       Date:  1994-01       Impact factor: 4.562

  3 in total
  3 in total

1.  Using genetic markers to directly estimate gene flow and reproductive success parameters in plants on the basis of naturally regenerated seedlings.

Authors:  J Burczyk; W T Adams; D S Birkes; I J Chybicki
Journal:  Genetics       Date:  2006-02-19       Impact factor: 4.562

2.  Effects of floral display size on male and female reproductive success in Mimulus ringens.

Authors:  Jeffrey D Karron; Randall J Mitchell
Journal:  Ann Bot       Date:  2011-08-31       Impact factor: 4.357

3.  Charlesworth et al. on Background Selection and Neutral Diversity.

Authors:  Stephen I Wright
Journal:  Genetics       Date:  2016-11       Impact factor: 4.562

  3 in total

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