Molecular breeding of flower load related traits in dioecious autotetraploid Actinidia arguta

TL;DR

This study explores the genetic basis of flowering traits in kiwiberry to improve yield and reduce maintenance through genomic breeding methods.

Contribution

A novel breeding tool for dioecious crops using QTL mapping and genomic prediction is presented.

Findings

Putative QTLs on chromosome 3 were identified for flower-load traits in Actinidia arguta.

A pleiotropic effect of the male-specific Y chromosome region on flower load traits was observed.

GBLUP enabled the prediction of superior genotypes for breeding.

Abstract

Flowering plants exhibit a wide range of sexual reproduction systems, with the majority being hermaphroditic. However, some plants, such as Actinidia arguta (kiwiberry), have evolved into dioecious species with distinct female and male vines. In this study, we investigated the flower load and growth habits of female kiwiberry genotypes to identify the genetic basis of high yield with low maintenance requirements. Owing to the different selection approaches between female and male genotypes, we further extended our study to male kiwiberry genotypes. By combining both investigations, we present a novel breeding tool for dioecious crops. A population of A. arguta seedlings was phenotyped for flower load traits, in particular the proportion of non-floral shoots, proportion of floral shoots, and average number of flowers per floral shoot. Quantitative trait locus (QTL) mapping was used to analyse the genetic basis of these traits. We identified putative QTLs on chromosome 3 associated with flower-load traits. A pleiotropic effect of the male-specific region of the Y chromosome (MSY) on chromosome 3 affecting flower load-related traits between female and male vines was observed in an A. arguta breeding population. Furthermore, we utilized Genomic Best Linear Unbiased Prediction (GBLUP) to predict breeding values for the quantitative traits by leveraging genomic data. This approach allowed us to identify and select superior genotypes. Our findings contribute to the understanding of flowering and fruiting dynamics in Actinidia species, providing insights for kiwiberry breeding programs aiming to improve yield through the utilization of genomic methods and trait mapping.

The online version contains supplementary material available at 10.1007/s11032-024-01476-7.

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