HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Panter, D. M. Articles by Allen, F. L. Search for Related Content PubMed Articles by Panter, D. M. Articles by Allen, F. L. Agricola Articles by Panter, D. M. Articles by Allen, F. L.

Using Best Linear Unbiased Predictions to Enhance Breeding for Yield in Soybean: II. Selection of Superior Crosses from a Limited Number of Yield Trials

Dep. of Plant and Soil Science, Univ. of Tennessee, Knoxville, TN 37901-1071

^* Corresponding author (allenf{at}utk.edu).

Economic constraints on many plant breeding programs have forced breeders to limit the number of environments for performance testing of new genetic material. The use of best linear unbiased predictions (BLUP), which augments predictions of individuals by using observations on their close relatives, should provide improved predictions of performance under such conditions. The objectives of this study were to determine (i) whether BLUP values were more precise predictors than least squares means [i.e, best linear unbiased estimates (BLUE)] from soybean [Glycine max (L.) Merr.] yield trials conducted in one or two environments, and (ii) how much improvement in the precision of BLUP could be gained by inclusion of historical parental data. Bulks and lines of 24 soybean crosses and four check cultivars were evaluated at 11 different environments in Tennessee to estimate the mean seed yield of each cross and cultivar. Historical yield records on parents of each cross were compiled from trials conducted in Tennessee from 1982 through 1990. Using subsets of the 11 environments, we predicted yield using three methods: (i) BLUE, (ii) BLUP(NP), without parental data, and (iii) BLUP(P), with parental data. Standard errors of differences (S^-_d) and rank correlations (r_s) between the actual and predicted mean yields showed that either method of BLUP was superior to BLUE for providing precise yield estimates. Because of the high genetic relationships among the crosses used in this study, including historical parental information did little to increase the precision of BLUP(P) over BLUP(NP).

Received for publication April 12, 1993.

This article has been cited by other articles:

				J. Crossa, J. Burgueno, P. L. Cornelius, G. McLaren, R. Trethowan, and A. Krishnamachari Modeling Genotype x Environment Interaction Using Additive Genetic Covariances of Relatives for Predicting Breeding Values of Wheat Genotypes Crop Sci., June 20, 2006; 46(4): 1722 - 1733. [Abstract] [Full Text] [PDF]

				H.-P. Piepho and J. Mohring Selection in Cultivar Trials--Is It Ignorable? Crop Sci., December 2, 2005; 46(1): 192 - 201. [Abstract] [Full Text] [PDF]

				W. Yan and I. Rajcan Prediction of Cultivar Performance Based on Single- versus Multiple-Year Tests in Soybean Crop Sci., March 1, 2003; 43(2): 549 - 555. [Abstract] [Full Text] [PDF]

				S.K.St. Martin and X. Futi Genetic Gain in Early Stages of a Soybean Breeding Program Crop Sci., November 1, 2000; 40(6): 1559 - 1564. [Abstract] [Full Text] [PDF]