Prediction of fruit yield and firmness of tomato hybrids with BLUP and RR-BLUP using ISSR molecular mark

In the development of tomato hybrids, a large number of parental lines involves an excessively high number of possible hybrids, making their formation and evaluation problematic. The magnitude of this can be reduced to manageable levels with the use of hybrid performance prediction methods. In this study we compared two methods based on genomic fingerprints, mixed model theory and the experimental evaluation of a sample of hybrids: 1) best linear unbiased prediction or BLUP and 2) ridge regression BLUP. Thirty-six single crosses were performed with the objective of determining the number, firmness and total and commercial yield of fruits. With 1,000 size-independent random samples, n = 6, 12, 18, 24 and 30, the behavior of the remaining 36-n hybrids was predicted. The correlation coefficients between predicted and observed values ranged between 0.25 and 0.83. BLUP consistently recorded the highest values. In both prediction methods when n increased the magnitude of the correlations also increased.

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Electronic ISSN: 2007-4034
Print ISSN: 1027-152X

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