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This article in CS

  1. Vol. 38 No. 1, p. 243-248
     
    Received: Mar 13, 1997


    * Corresponding author(s): USSJ@MONTANA.EDU
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doi:10.2135/cropsci1998.0011183X003800010041x

Predicting Progeny Variance from Parental Divergence in Hard Red Spring Wheat

  1. Rebecca L. Burkhamer,
  2. Susan P. Lanning,
  3. Roy J. Martens,
  4. John M. Martin  and
  5. Luther E. Talbert
  1. Dep. Plant Soil and Environmental Sciences, P.O. Box 173120, Montana State Univ., Bozeman, MT 59717-3120

Abstract

Abstract

Selection of parents is an important first step in any breeding program. The ability to assess accurately genetic differences between parents and subsequently to predict progeny performance would enhance the efficiency of breeding programs. This study examined the association between genetic similarity (GS) based on coefficient of parentage (COP) and molecular marker data for 10 hard red spring wheats (Triticum aestivum L.). In addition, we assessed the value of parental diversity based on COP, and molecular marker data, and combinations of them, to predict progeny genetic variance for 12 crosses of hard red spring wheat. Coefficient of parentage was computed for all pair-wise combinations of the 10 parents. Parents were assayed with 205 sequence-tagged sites (STS) polymerase chain reaction (PCR) primer sets and 14 arbitrarily chosen selective amplified fragment length polymorphism (AFLP) primer combinations. Fifty random progeny lines from each of 12 crosses among the 10 parents were grown in three field environments. Genetic variance estimates were obtained for nine traits, and an overall variance was obtained as the sum of single trait variance components from standardized data. Genetic similarities estimated from COP, STS-PCR primer sets, and AFLP primer combinations were interrelated. Genetic distance computed from COP, STS-PCR primer sets, AFLP primer combinations, or combinations of them was not a strong predictor of progeny genetic variance or number of transgressive segregates for single traits. However, significant correlations were obtained between COP and STS-PCR-based genetic distance and overall variance.

Contribution no. J-5115 Montana Agric. Exp. Stn.

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