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Bayesian Survival Analysis to Model Plant Resistance and Tolerance to Virus Diseases

Conference paper
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Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 194)

Abstract

Viruses constitute a major threat to large-scale production of crops worldwide producing important economical losses and undermining sustainability. We evaluated a new plant variety for resistance and tolerance to a specific virus through a comparison with other well-known varieties. The study is based on two independent Bayesian accelerated failure time models which assess resistance and tolerance survival times. Information concerning plant genotype and virus biotype were considered as baseline covariates and error terms were assumed to follow a modified standard Gumbel distribution. Frequentist approach to these models was also considered in order to compare the results of the study from both statistical methodologies.

Keywords

Accelerated failure regression model Interval-censoring Plant breeding 

Notes

Acknowledgements

This research has been partially supported by research grants FPU/02042/2013 from the Spanish Ministry of Education, Culture and Sports, MTM2016-77501-P from the Spanish Ministry of Economy and Competitiveness, and RTA2013-00047-C02 from the INIA. We wish to acknowledge two anonymous referees for their valuable comments and suggestions that have improved very much the original version of the paper.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Universitat de ValènciaBurjassotSpain
  2. 2.Instituto Valenciano de Investigaciones AgrariasMoncadaSpain

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