Predicting segregation of multiple fruit-quality traits by using accumulated phenotypic records in citrus breeding.

Atsushi Imai,Masashi Yamamoto,Keisuke Nonaka,Takeshi Hayashi,Naofumi Hiehata,Hiroshi Fukamachi,Nobuhito Mitani,Terutaka Yoshioka,Takeshi Kuniga,Randall P Niedz

doi:10.1371/journal.pone.0202341

Abstract

In the breeding of citrus (Citrus spp.), suitable fruit quality is essential for consumer acceptance of new cultivars. To identify parental combinations producing F1 progeny with fruit-quality traits exceeding certain selection criteria, we developed a simple and practical method for predicting multiple-trait segregation in an F1 progeny population. This method uses breeding values of parental genotypes and an additive genetic (co)variance matrix calculated by the best linear unbiased prediction method to construct a model for trait segregation in F1 progeny. To confirm the validity of our proposed method, we calculated the breeding values and additive genetic (co)variances based on phenotypic records on nine fruit-quality traits in 2122 genotypes, and constructed a trait segregation model. Subsequently, we applied the trait segregation model to all pairs of the 2122 genotypes (i.e., 2,252,503 combinations), and predicted the most promising combinations and evaluated their probabilities of producing superior genotypes exceeding the nine fruit-quality traits of satsuma mandarin (Citrus unshiu Marcow.) or ‘Shiranuhi’ (‘Kiyomi’ × ‘Nakano No. 3’ ponkan), two popular citrus cultivars in Japan. We consider these results to be useful not only for selecting good parental combinations for fruit quality or other important traits but also for determining the scale of breeding programs required to achieve specific breeding goals.

Highlights

In the breeding of citrus (Citrus spp.), suitable fruit quality is critical for consumer acceptance of new cultivars
This in turn hinders the development of citrus cultivars with desirable fruit-quality traits, since genetic variability produced by good parental combinations is essential for obtaining superior genotypes [4,5]
We recently reported an approach for selecting superior genotypes in citrus breeding programs that is based on the best linear unbiased prediction (BLUP) method [9]

Summary

Introduction

In the breeding of citrus (Citrus spp.), suitable fruit quality is critical for consumer acceptance of new cultivars. Predicting segregation of fruit-quality traits in citrus programs in Japan, including that of the National Agriculture and Food Research Organization (NARO) Institute of Fruit Tree and Tea Science [1]. The complex genetic background regulated by multiple genes makes it difficult to predict the segregation patterns of these traits and identify good parental combinations in citrus cross breeding. This in turn hinders the development of citrus cultivars with desirable fruit-quality traits, since genetic variability produced by good parental combinations is essential for obtaining superior genotypes [4,5]

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Conclusion