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Molecular breeding of flower load related traits in dioecious autotetraploid Actinidia arguta.
Mertten, Daniel; McKenzie, Catherine M; Souleyre, Edwige J F; Amadeu, Rodrigo R; Lenhard, Michael; Baldwin, Samantha; Datson, Paul M.
Afiliação
  • Mertten D; The New Zealand Institute for Plant and Food Research Ltd, Auckland, 1142 New Zealand.
  • McKenzie CM; University of Potsdam, Institute for Biochemistry and Biology, 14476 Potsdam-Golm, Germany.
  • Souleyre EJF; The New Zealand Institute for Plant and Food Research Ltd, Te Puke, 3182 New Zealand.
  • Amadeu RR; The New Zealand Institute for Plant and Food Research Ltd, Auckland, 1142 New Zealand.
  • Lenhard M; Bayer Crop Science, Chesterfield, 63017 USA.
  • Baldwin S; University of Potsdam, Institute for Biochemistry and Biology, 14476 Potsdam-Golm, Germany.
  • Datson PM; The New Zealand Institute for Plant and Food Research Ltd, Lincoln, 7608 New Zealand.
Mol Breed ; 44(5): 36, 2024 May.
Article em En | MEDLINE | ID: mdl-38745882
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. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-024-01476-7.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article