| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|
|
|
|||||||
|
|||||||||
Limagrain Genetics, 4805 W. Old Church Rd., Champaign, IL 61821
* Corresponding author.
Methods for predicting hybrid yield would facilitate the identification of superior maize (Zea mays L.) single crosses. Best linear unbiased prediction of the performance of single crosses, based on (i) restriction fragment length polymorphism (RFLP) data on the parental inbreds and (ii) yield data on a related set of single crosses, was evaluated. Yields of m single crosses were predicted as YM = C V–1 yP, where: yM = m x 1 vector of predicted yields of missing (i.e., no yield data available) single crosses; C = m x n matrix of genetic covariances between the missing and predictor hybrids; V = n x n matrix of phenotypic variances and covariances among predictor hybrids; and yP = nn x 1 vector of predictor hybrid yields corrected for trial effects. From a set of 54 single crosses, made between six Iowa Stiff Stalk Synthetic (SSS) and nine non-SSS inbreds, 100 different sets of n = 10, 15, 20, 25, or 30 predictor hybrids were chosen at random. Pooled correlations between predicted and observed yields of the remaining (54 – n) hybrids ranged from 0.654 to 0.800. The correlations were slightly higher when dominance variance was included in the model or when coefficients of coancestry were determined from RFLP rather than pedigree data. The correlations remained relatively stable across different, arbitrary values of genetic variances. The results suggested that single-cross yield can be predicted effectively based on parental RFLP data and yields of a related set of hybrids.
Received for publication April 19, 1993.
This article has been cited by other articles:
|
|
 |
|
  H.-P. Piepho and J. Mohring Computing Heritability and Selection Response From Unbalanced Plant Breeding Trials Genetics, November 1, 2007; 177(3): 1881 - 1888. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 A. M. Bauer, T. C. Reetz, and J. Leon Estimation of Breeding Values of Inbred Lines using Best Linear Unbiased Prediction (BLUP) and Genetic Similarities Crop Sci., November 21, 2006; 46(6): 2685 - 2691. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
A. Collaku and S. A. Harrison Heritability of Waterlogging Tolerance in Wheat Crop Sci., February 23, 2005; 45(2): 722 - 727. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
F. Zou, B. S. Yandell, and J. P. Fine Statistical Issues in the Analysis of Quantitative Traits in Combined Crosses Genetics, July 1, 2001; 158(3): 1339 - 1346. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
C.M. Bromley, L.D. Van Vleck, B.E. Johnson, and O.S. Smith Estimation of Genetic Variance in Corn from F1 Performance with and without Pedigree Relationships among Inbred Lines Crop Sci., May 1, 2000; 40(3): 651 - 655. [Abstract] [Full Text]
|
|
|
|
|
|
C. W. Stuber, M. Polacco, and M.L. Senior Synergy of Empirical Breeding, Marker-Assisted Selection, and Genomics to Increase Crop Yield Potential Crop Sci., November 1, 1999; 39(6): 1571 - 1583. [Abstract] [Full Text]
|
|
|
|
 |
|
 D. Hoisington, M. Khairallah, T. Reeves, J.-M. Ribaut, B. Skovmand, S. Taba, and M. Warburton Plant genetic resources: What can they contribute toward increased crop productivity? PNAS, May 25, 1999; 96(11): 5937 - 5943. [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 |
||||
