| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|
|
|
|||||||
|
|||||||||
Dep. of Agronomy and Plant Genetics, Univ. of Minnesota, 411 Borlaug Hall, 1991 Buford Circle, St. Paul, MN 55108-6026
Corresponding author (berna022{at}umn.edu)
Plant genomics programs are expected to decipher the sequence and function of genes controlling important traits. Most of the important traits in crops are quantitative and are controlled jointly by many loci. What if we knew all the genes for a quantitative trait in hybrid crops? Will genomics enhance hybrid crop breeding, which currently involves selection on the basis of phenotypes rather than gene information? With maize (Zea mays L.) as a model species, I found through computer simulation that gene information is most useful in selection when few loci (e.g., 10) control the trait. With many loci (
50), the least squares estimates of gene effects become imprecise. Gene information consequently improves selection efficiency among hybrids by only 10% or less, and actually becomes detrimental to selection as more loci become known. Increasing the population size and trait heritability to improve the estimates of gene effects also improves phenotypic selection, leaving little room for improvement of selection efficiency via gene information. The typical reductionist approach in genomics therefore has limited potential for enhancing selection for quantitative traits in hybrid crops.
Abbreviations: T-BLUP, best linear unbiased prediction on the basis of trait phenotypes • TG-BLUP, best linear unbiased prediction on the basis on trait phenotypes and known genes
This article has been cited by other articles:
|
|
 |
|
  J. A. Anderson, S. Chao, and S. Liu Molecular Breeding Using a Major QTL for Fusarium Head Blight Resistance in Wheat Crop Sci., December 18, 2007; 47(Supplement_3): S-112 - S-119. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
R. Tuberosa, S. Salvi, S. Giuliani, M. C. Sanguineti, M. Bellotti, S. Conti, and P. Landi Genome-wide Approaches to Investigate and Improve Maize Response to Drought Crop Sci., December 18, 2007; 47(Supplement_3): S-120 - S-141. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
P. S. Baenziger, W. K. Russell, G. L. Graef, and B. T. Campbell Improving Lives: 50 Years of Crop Breeding, Genetics, and Cytology (C-1) Crop Sci., September 8, 2006; 46(5): 2230 - 2244. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
L. A. Robertson-Hoyt, M. P. Jines, P. J. Balint-Kurti, C. E. Kleinschmidt, D. G. White, G. A. Payne, C. M. Maragos, T. L. Molnar, and J. B. Holland QTL Mapping for Fusarium Ear Rot and Fumonisin Contamination Resistance in Two Maize Populations Crop Sci., June 20, 2006; 46(4): 1734 - 1743. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
R. Bernardo and A. Charcosset Usefulness of Gene Information in Marker-Assisted Recurrent Selection: A Simulation Appraisal Crop Sci., February 1, 2006; 46(2): 614 - 621. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 L. N. Huynh, T. VanToai, J. Streeter, and G. Banowetz Regulation of flooding tolerance of SAG12:ipt Arabidopsis plants by cytokinin J. Exp. Bot., May 1, 2005; 56(415): 1397 - 1407. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. M. Goodman Plant Breeding Requirements for Applied Molecular Biology Crop Sci., November 1, 2004; 44(6): 1913 - 1914. [Full Text] [PDF]
|
|
|
|
|
|
D. W. Podlich, C. R. Winkler, and M. Cooper Mapping As You Go: An Effective Approach for Marker-Assisted Selection of Complex Traits Crop Sci., September 1, 2004; 44(5): 1560 - 1571. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
A. J. Castro, X. Chen, A. Corey, T. Filichkina, P. M. Hayes, C. Mundt, K. Richardson, S. Sandoval-Islas, and H. Vivar Pyramiding and Validation of Quantitative Trait Locus (QTL) Alleles Determining Resistance to Barley Stripe Rust: Effects on Adult Plant Resistance Crop Sci., November 1, 2003; 43(6): 2234 - 2239. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
J. Wang, M. van Ginkel, D. Podlich, G. Ye, R. Trethowan, W. Pfeiffer, I. H. DeLacy, M. Cooper, and S. Rajaram Comparison of Two Breeding Strategies by Computer Simulation Crop Sci., September 1, 2003; 43(5): 1764 - 1773. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
A. J. Castro, X. Chen, P. M. Hayes, and M. Johnston Pyramiding Quantitative Trait Locus (QTL) Alleles Determining Resistance to Barley Stripe Rust: Effects on Resistance at the Seedling Stage Crop Sci., March 1, 2003; 43(2): 651 - 659. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 R. TUBEROSA, S. SALVI, M. C. SANGUINETI, P. LANDI, M. MACCAFERRI, and S. CONTI Mapping QTLs Regulating Morpho-physiological Traits and Yield: Case Studies, Shortcomings and Perspectives in Drought-stressed Maize Ann. Bot., June 15, 2002; 89(7): 941 - 963. [Abstract] [Full Text] [PDF]
|
|
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| The SCI Journals | Agronomy Journal | Vadose Zone Journal | |||
| Journal of Plant Registrations | Soil Science Society of America Journal | ||||
| Journal of Natural Resources and Life Sciences Education |
Journal of Environmental Quality |
||||
