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This article in CS

  1. Vol. 51 No. 2, p. 631-641
     
    Received: July 2, 2010
    Published: Mar, 2011


    * Corresponding author(s): Heathcliffe.Riday@ars.usda.gov
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doi:10.2135/cropsci2010.07.0390

Paternity Testing: A Non-Linkage Based Marker-Assisted Selection Scheme for Outbred Forage Species

  1. Heathcliffe Riday *a
  1.  aUSDA-ARS, US Dairy Forage Research Center, Madison, WI 53706. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture

Abstract

In many major perennial forage species, genomic tools and infrastructure development has advanced enough that their utilization in marker-assisted selection (MAS) can be cheaply explored. This paper presents a paternity testing MAS in diploid red clover (Trifolium pratense L.). Utilizing individual plant phenotypes, known maternity, and molecular marker-determined paternity, paternal and maternal breeding values are calculated and selection on both parents is accomplished. Paternity testing MAS is demonstrated in three red clover breeding populations utilizing permutation-based truncation selection for a biomass-persistence index trait. Permutation-based truncation selection is accomplished by ranking parents based on 80% of total progeny per permutation. Parental rankings are then used to select among the remaining 20% of total progeny and average selection gains across all permutations are estimated. Paternity was determined from 11 simple sequence repeats (SSRs) amplified in two polymerase chain reactions (PCRs). Paternity-based selection gains alone were more than double selection gains based on maternity alone. Inexplicably, the estimated paternal halfsib family additive genetic variance was four to five times greater than the maternal halfsib family additive genetic variance. Paternity testing MAS is implementable in other diploid forage species and allopolyploid forage species with one diploid genome and corresponding genome specific molecular markers.

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