Skip to main content
Log in

Genotypic data changes family rank for growth and quality traits in a black walnut (Juglans nigra L.) progeny test

  • Published:
New Forests Aims and scope Submit manuscript

Abstract

We evaluated eight-year-old seedlings in a black walnut (Juglans nigra L.) progeny test for two quantitative and two qualitative traits. We also used 12 microsatellite markers to genotype the 328 progeny and their maternal parents. Seedling family growth and quality was evaluated based on the progeny test map. These values were compared to family growth and quality after seedlings were genotyped and reassigned to families by parentage assignment software. After genotyping and parentage analysis, about 80 % of the offspring were assigned to the same half-sib family indicated on the planting map. Considerable differences were observed between the ranks of half-sib families based on the planting-map versus the ranks of the families based on the exclusion/assignment of progeny to their family based on genotypes. Analysis of the data without genotypic assignment of progeny to their correct family revealed that the family effect for height was significant, as was family effect for diameter. After seedlings were reassigned to half-sib families based on genotypic information, neither the family effect for height nor the family effect for diameter was significant. The efficiency of the mixed model ANOVA, as measured by Akaike Information Criterion improved by about 30 % after genotyping and exclusion/reassignment of progeny. These results show that genotyping progeny can have a significant effect on the rank of families and potential selection of individuals from a progeny trial, the quality of data analysis, and the efficiency and efficacy of breeding operations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Beineke WF (1989) Twenty years of black walnut genetic improvement at Purdue University. North J Appl For 6:68–71

    Google Scholar 

  • Blouin M, Parsons M, Lacaille V, Lotz S (1996) Use of microsatellite loci to classify individuals by relatedness. Mol Ecol 5:393–401

    PubMed  CAS  Google Scholar 

  • Dangl GS, Woeste K, Aradhya MK, Koehmstedt A, Simon C, Potter D, Leslie CA, McGrannhan G (2005) Characterization of 14 microsatellite markers for genetic analysis and cultivar identification of walnut. J Am Soc Hortic Sci 130:348–354

    CAS  Google Scholar 

  • El-Kassaby YA (2010) Pedigree reconstruction: an alternative to systematic breeding. Box 11 pp 285-286. In: Dewoody et al. (ed) Molecular approaches in natural resource conservation and management. Cambridge University Press, New York, USA, p 374

  • El-Kassaby YA, Lstibůrek M (2009) Breeding without breeding. Genet Res 91:111–120

    Article  Google Scholar 

  • Gaspar MJ, De-Lucas AI, Alía R, Paiva JAP, Hidalgo E, Louzada J, Almeida H, González-Martínez SC (2009) Use of molecular markers for estimating breeding parameters: a case study in a Pinus pinaster Ait. progeny trial. Tree Genet Genomes 5:609–616

    Article  Google Scholar 

  • Grattapaglia D, Ribeiro VJ, Rezende GDSP (2004) Retrospective selection of elite parent trees using paternity testing with microsatellite markers: an alternative short term breeding tactic for Eucalyptus. Theor Appl Genet 109:192–199

    Article  PubMed  CAS  Google Scholar 

  • Kalinowski ST, Wagner AP, Taper ML (2006) ML-Relate: a computer program for maximum likelihood estimation of relatedness and relationship. Mol Ecol Notes 6:576–579

    Article  CAS  Google Scholar 

  • Kalinowski ST, Taper ML, Marshll TC (2007) Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment. Mol Ecol 16:1099–1106

    Article  PubMed  Google Scholar 

  • Konovalov DA, Mannig C, Henshaw M (2004) KINGROUP: a program for pedigree relationship reconstruction and kin group assignments using genetic markers. Mol Ecol Notes 4:770–782

    Article  Google Scholar 

  • Lexer C, Heinze B, Steinkellner H, Kampfer S, Ziegenhagen B, Glössl J (1999) Microsatellite analysis of maternal half-sib families of Quercus robur, pedunculate oak: detection of seed contaminations and inference of the seed parents from the offspring. Theor Appl Genet 99:185–191

    Article  CAS  Google Scholar 

  • Marshall TC, Slate J, Kruuk LEB, Pemberton JM (1998) Statistical confidence for likelihood-based paternity inference in natural populations. Mol Ecol 7:639–655

    Article  PubMed  CAS  Google Scholar 

  • Miño CI, Sawyer GM, Benjamin RC, Lama SND (2009) Parentage and relatedness in captive and natural populations of the Roseate Spoonbill (Aves: Ciconiiformes) based on microsatellite data. J Exp Zool 311:453–464

    Article  Google Scholar 

  • Moriguchi Y, Yamazaki Y, Taira H, Tsumura Y (2010) Mating patterns in an indoor miniature Cryptomeria japonica seed orchard as revealed by microsatellite markers. New For 39:261–273

    Article  Google Scholar 

  • Robichaud RL, Glaubitz JC, Rhodes OE Jr, Woeste K (2006) A robust set of black walnut microsatellites for parentage and clonal identification. New For 32:179–196

    Google Scholar 

  • Slate J, Marshall T, Pemberton J (2000) A retrospective assessment of the accuracy of the paternity inference program CERVUS. Mol Ecol 9:801–808

    Article  PubMed  CAS  Google Scholar 

  • Victory ER, Glaubitz JC, Rhodes OE, Woeste KE (2006) Genetic homogeneity in Juglans nigra (Juglandaceae) at nuclear microsatellites. Am J Bot 93:118–126

    Article  CAS  Google Scholar 

  • Wang XR, Torimaru T, Lindgren D, Fries A (2010) Marker-based parentage analysis facilitates low input ‘breeding without breeding’ strategies for forest trees. Tree Genet Genomes 6:227–235

    Article  Google Scholar 

  • Woeste K, McKenna JR (2004) Walnut genetic improvement at the start of a new century. In: Michler CH, Pijut PM, Van Sambeek J, Coggeshall M, Seifert J, Woeste K, Ponder F, Overton R (eds) Proceedings of the sixth walnut council research symposium, general technical report NC-243. U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station, St. Paul, Minnesota, USA, pp 9–17

  • Woeste K, Burns R, Rhodes O, Michler C (2002) Thirty polymorphic nuclear microsatellite loci from black walnut. J Hered 93:58–60

    Article  PubMed  CAS  Google Scholar 

  • Woeste K, Jacobs D, McKenna JR (2011) Half-sib seed source and nursery sowing density affect black walnut (Juglans nigra L.) growth after five years. New For 41:235–245

    Article  Google Scholar 

  • Zhao P, Woeste K (2011) DNA markers identify hybrids between butternut (Juglans cinerea L.) and Japanese walnut (Juglans ailantifolia Carr.). Tree Genet Genomes 7:511–533

    Article  Google Scholar 

  • Zobel B, Talbert J (1984) Applied forest tree improvement. Wiley, New York, NY, p 505

    Google Scholar 

Download references

Acknowledgments

We wish to thank Charles Michler, Marcia Kremer, Lisa Worthen Alexander, Hannah Bergeman, and Whitney Johnson for their technical assistance, Brian Beheler for plantation maintenance, Janis Gosewehr for office support, and several anonymous reviewers for helpful comments on the manuscript. The use of trade names is for the information and convenience of the reader and does not imply official endorsement or approval by the United States Department of Agriculture or the Forest Service of any product to the exclusion of others that may be suitable.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Keith Woeste.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhao, P., Zhang, S. & Woeste, K. Genotypic data changes family rank for growth and quality traits in a black walnut (Juglans nigra L.) progeny test. New Forests 44, 357–368 (2013). https://doi.org/10.1007/s11056-012-9343-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11056-012-9343-7

Keywords

Navigation