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Prediction of breeding values for average fruit weight in mango using a multivariate individual mixed model

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Abstract

Mango is an important horticultural fruit crop and breeding is a key strategy to improve ongoing sustainability. Knowledge of breeding values of potential parents is important for maximising progress from breeding. This study successfully employed a mixed linear model methods incorporating a pedigree to predict breeding values for average fruit weight from highly unbalanced data for genotypes planted over three field trials and assessed over several harvest seasons. Average fruit weight was found to be under strong additive genetic control. There was high correlation between hybrids propagated as seedlings and hybrids propagated as scions grafted onto rootstocks. Estimates of additive genetic correlation among trials ranged from 0.69 to 0.88 with correlations among harvest seasons within trials greater than 0.96. These results suggest that progress from selection for broad adaptation can be achieved, particularly as no repeatable environmental factor that could be used to predict G × E could be identified. Predicted breeding values for 35 known cultivars are presented for use in ongoing breeding programs.

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Acknowledgments

We would like to acknowledge the efforts of Peter Johnson, Ping Lu, Alonzo Gonzales, David Hamilton, Richard Brettell, Sam Blakie, Chris Wicks, and Waren Muller, who contributed to the collection of the phenotypic data set used in this analysis. We would like to acknowledge the Queensland Department of Primary Industries and Fisheries, the Northern Territory Department of Resources, the Western Australian Department of Agriculture and CSIRO for their financial support of the National Mango Breeding project. We also thank Professor Ari Verbyla (University of Adelaide and CSIRO) for providing code for calculation of the probability of the Log-likelihood ratio statistic when the parameter is at the boundary after Stram and Lee 1996.

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Authors and Affiliations

  1. Queensland Alliance for Agriculture and Food Innovation, School of Agriculture and Food Sciences, University of Queensland, St Lucia, QLD, 4072, Australia

    C. M. Hardner

  2. Department of Employment, Economic Development and Innovation, Agri-Science Queensland, P.O. Box 1054, Mareeba, QLD, 4880, Australia

    I. S. E. Bally

  3. Department of Employment, Economic Development and Innovation, Agri-Science Queensland, 180-202 River Boulevard, Oonoonba, QLD, 4811, Australia

    C. L. Wright

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  1. C. M. Hardner
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Correspondence to C. M. Hardner.

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Hardner, C.M., Bally, I.S.E. & Wright, C.L. Prediction of breeding values for average fruit weight in mango using a multivariate individual mixed model. Euphytica 186, 463–477 (2012). https://doi.org/10.1007/s10681-012-0639-7

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