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Are genotypes’ single-year YREMs and BLUPs good predictors of their performance in future years? An empirical analysis in dolichos bean [Lablab purpureus (L.) Sweet var. Lignosus]

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Abstract

Crop breeders conduct trials to assess performance of elite breeding lines/germplasm accessions across locations and/or years to identify promising ones for use as cultivars and/or for use in breeding programmes. It is hypothesized that in a given location, genotypes’ multi-year performance are more predictive of their performance in the next/future years. However, only a few researchers have examined this hypothesis. To test this hypothesis, we predicted genotypes’ present-year’s performance based on their previous 1-, 2-, 3- and 4-years’ performance using fresh pod yield data from 53 dolichos bean genotypes evaluated across 5 years. We used two statistics, namely yield relative to environment (year) maximum (YREM) and best linear unbiased predictors (BLUP) as measures of genotypes’ performance for fresh pod yield in dolichos bean. Correlation coefficients of genotypes’ present-year’s performance with previous 1-, 2-, 3- and 4-years’ performance were used as measures of predictive power. The results of our study provided adequate evidence to show that that single-year dolichos bean genotypes’ YREM and BLUP have sufficient power to predict their future 1-year/multiple-years’ performance and to identify superior genotypes. These findings adequately support the common practice by breeders/cultivar sponsors of withdrawing their cultivars from the tests based on a single-year trial.

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References

  • Annicchiarico P (2002) Genotype × environment interaction: challenges and opportunities for plant breeding and cultivar recommendations. Food and Agriculture Organization of the United Nations (FAO), Rome

    Google Scholar 

  • Annicchiarico P, Bellah F, Chiari T (2006) Repeatable genotype × location interaction and its exploitation by conventional and GIS-based cultivar recommendation for durum wheat in Algeria. Eur J Agron 24:70–81

    Article  Google Scholar 

  • Arief VN, Desmae H, Hardner C, DeLacy IH, Gilmour A, Bull JK, Basford KE (2019) Utilization of multiyear plant breeding data to better predict genotype performance. Crop Sci 59:480–490

    Article  Google Scholar 

  • Bernardo R (2020) Reinventing quantitative genetics for plant breeding: something old, something new, something borrowed, something BLUE. Heredity. https://doi.org/10.1038/s41437-020-0312-1

    Article  PubMed  PubMed Central  Google Scholar 

  • Bowman DT (1998) Using crop performance data to select hybrids and varieties. J Prod Agric 11:256–259

    Article  Google Scholar 

  • Byregowda M, Gireesh G, Ramesh S, Mahadevu P, Keerthi CM (2015) Descriptors of dolichos bean (Lablab purpureus L.). J Food Legumes 28(3):203–214

    Google Scholar 

  • Cross HZ, Helm JL (1986) Hybrid maize selection strategies in that it is also an intuitive measure of reliability of based on state yield trials. J Agron Educ 15:110–113

    Article  Google Scholar 

  • Ebdon JS, Gauch HG (2011) Direct validation of AMMI predictions in turf grass trials. Crop Sci 51:862–869

    Article  Google Scholar 

  • Gauch HG (2013) A simple protocol for AMMI analysis of yield trials. Crop Sci 53:1860–1869

    Article  Google Scholar 

  • Gellner JL (1989) Predicting superior yielding spring wheat and oat cultivars using past yield data. Agron J 81:194–197

    Article  Google Scholar 

  • Gilmour A, Cullis BR, Verbyla AP (1997) Accounting for natural and extraneous variation in the analysis of field experiments. J Agric Biol Environ Stat 2:269–293

    Article  Google Scholar 

  • Lin CS, Binns MR (1988) A method of analyzing cultivar × location × year experiments: a new stability parameter. Theor Appl Genet 76:425–430

    Article  CAS  Google Scholar 

  • Lin CS, Binns MR (1991) Assessment of a method for cultivar selection based on regional trial data. Theor Appl Genet 82(3):379–388

    Article  CAS  Google Scholar 

  • Lin CS, Binns MR (1994) Concepts and methods for analysis of regional trial data for cultivar and location selection. Plant Breed Rev 11:271–297

    Google Scholar 

  • Ma D, Stutzel H (2014) Prediction of winter wheat cultivar performance in Germany: at national, regional and location scale. Eur J Agron 52:210–217

    Article  Google Scholar 

  • Molenaar H, Boehm R, Piepho HP (2018) Phenotypic selection in ornamental breeding: it’s better to have the BLUPs than to have the BLUEs. Front Plant Sci 9:1–14. https://doi.org/10.3389/fpls.2018.01511

    Article  Google Scholar 

  • Piepho HP, Möhring J, Melchinger AE, Büchse A (2008) BLUP for phenotypic selection in plant breeding and variety testing. Euphytica 161:209–228

    Article  Google Scholar 

  • Ramesh S, Byregowda M (2016) Dolichos bean (Lablab purpureus L. Sweet var. Lignosus) genetics and breeding—present status and future prospects. Mysore J Agric Sci 50(3):481–500

    Google Scholar 

  • Resende MDV (2016) Software Selegen—REML/BLUP: a useful tool for plant breeding. Crop Breed Appl Biotechnol 16:330–339

    Article  Google Scholar 

  • Robinson GK (1991) That BLUP is a good thing—the estimation of random effects. Stat Sci 6:15–51

    Article  Google Scholar 

  • Yan W (1999) A study on the methodology of cultivar evaluation based on yield trial data. PhD thesis, University of Guelph, Canada

  • Yan W, Rajcan I (2003) Prediction of cultivar performance based on single-versus multiple-year tests in soybean. Crop Sci 43:549–555

    Article  Google Scholar 

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Acknowledgements

We gratefully acknowledge financial support from Indian Council of Agricultural Research (ICAR)—World Bank funded project to carry-out part of the research (ICAR_NAHEP; F. No./NAHEP/CAAST/2018-19/08).

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Correspondence to S. Ramesh.

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Spoorthi, V., Ramesh, S., Sunitha, N.C. et al. Are genotypes’ single-year YREMs and BLUPs good predictors of their performance in future years? An empirical analysis in dolichos bean [Lablab purpureus (L.) Sweet var. Lignosus]. Genet Resour Crop Evol 68, 1401–1409 (2021). https://doi.org/10.1007/s10722-020-01070-8

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