Literature DB >> 17249122

Scaling threshold characters.

D Gianola1, H W Norton.   

Abstract

A simple method of scaling ordered categorical responses having a joint distribution with an underlying normal variable is presented. Scores are developed that maximize heritability of the observed variate and that in the class of scores based on polychotomies: (1) maximize the correlation between score and the underlying genetic value to be predicted, and (2) minimize mean-square prediction error. Several examples suggest little is lost, in terms of heritability, by using equally spaced scores. The proposed scaling method discriminates among candidates for selection that would be tied if equally spaced scores are used and sometimes yields different rankings of candidates.

Year:  1981        PMID: 17249122      PMCID: PMC1214506     

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


  1 in total

1.  Heritability of Threshold Characters.

Authors:  E R Dempster; I M Lerner
Journal:  Genetics       Date:  1950-03       Impact factor: 4.562

  1 in total
  7 in total

1.  Improving lodgepole pine genomic evaluation using spatial correlation structure and SNP selection with single-step GBLUP.

Authors:  Eduardo P Cappa; Blaise Ratcliffe; Charles Chen; Barb R Thomas; Yang Liu; Jennifer Klutsch; Xiaojing Wei; Jaime Sebastian Azcona; Andy Benowicz; Shane Sadoway; Nadir Erbilgin; Yousry A El-Kassaby
Journal:  Heredity (Edinb)       Date:  2022-02-18       Impact factor: 3.832

2.  Single-step genomic prediction of Eucalyptus dunnii using different identity-by-descent and identity-by-state relationship matrices.

Authors:  Esteban J Jurcic; Pamela V Villalba; Pablo S Pathauer; Dino A Palazzini; Gustavo P J Oberschelp; Leonel Harrand; Martín N Garcia; Natalia C Aguirre; Cintia V Acuña; María C Martínez; Juan G Rivas; Esteban F Cisneros; Juan A López; Susana N Marcucci Poltri; Sebastián Munilla; Eduardo P Cappa
Journal:  Heredity (Edinb)       Date:  2021-06-18       Impact factor: 3.832

3.  Host plant genetic control of associated fungal and insect species in a Populus hybrid cross.

Authors:  Sandra J Simon; Timothy J Tschaplinski; Jared M LeBoldus; Ken Keefover-Ring; Muhammad Azeem; Jin-Gui Chen; David Macaya-Sanz; William L MacDonald; Wellington Muchero; Stephen P DiFazio
Journal:  Ecol Evol       Date:  2020-04-27       Impact factor: 2.912

4.  Multiple-trait analyses improved the accuracy of genomic prediction and the power of genome-wide association of productivity and climate change-adaptive traits in lodgepole pine.

Authors:  Eduardo P Cappa; Charles Chen; Jennifer G Klutsch; Jaime Sebastian-Azcona; Blaise Ratcliffe; Xiaojing Wei; Letitia Da Ros; Aziz Ullah; Yang Liu; Andy Benowicz; Shane Sadoway; Shawn D Mansfield; Nadir Erbilgin; Barb R Thomas; Yousry A El-Kassaby
Journal:  BMC Genomics       Date:  2022-07-23       Impact factor: 4.547

5.  Quercus species divergence is driven by natural selection on evolutionarily less integrated traits.

Authors:  Jaroslav Klápště; Antoine Kremer; Kornel Burg; Pauline Garnier-Géré; Omnia Gamal El-Dien; Blaise Ratcliffe; Yousry A El-Kassaby; Ilga Porth
Journal:  Heredity (Edinb)       Date:  2020-10-27       Impact factor: 3.821

6.  On-field phenotypic evaluation of sunflower populations for broad-spectrum resistance to Verticillium leaf mottle and wilt.

Authors:  Juan F Montecchia; Mónica I Fass; Ignacio Cerrudo; Facundo J Quiroz; Salvador Nicosia; Carla A Maringolo; Julio Di Rienzo; Carolina Troglia; H Esteban Hopp; Alberto Escande; Julio González; Daniel Álvarez; Ruth A Heinz; Verónica V Lia; Norma B Paniego
Journal:  Sci Rep       Date:  2021-06-02       Impact factor: 4.379

7.  Modelling of population structure through contemporary groups in genetic evaluation.

Authors:  Jaroslav Klápště; Mari Suontama; Heidi S Dungey; Emily J Telfer; Grahame T Stovold
Journal:  BMC Genet       Date:  2019-10-24       Impact factor: 2.797

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.