Doubled haploids of interspecific hybrids between Brassica napus and Brassica rapa for canola production with valuable breeding traits

Ainash Daurova,Dias Daurov,Dmitriy Volkov,Kabyl Zhambakin,Kuanysh Zhapar,Daniyar Raimbek,Malika Shamekova

doi:10.1051/ocl/2020041

Abstract

Doubled haploids (DH) were obtained from two interspecific hybrids between Brassica napus and Brassica rapa. Seeds of doubled haploid plants differed in colour and size. The hybridity of the obtained doubled haploid is shown using genomic in situ hybridization (GISH) analysis. Evaluation of drought tolerance during seed germination on PEG-6000 showed the advantage of doubled haploid plants of interspecific hybrids over the parent cultivars. The oil from seeds of doubled haploid plants showed good nutritional value.

Highlights

The Climate of Kazakhstan is characterised by extreme volatility in meteorological conditions over the years and between seasons
genomic in situ hybridization (GISH) analysis was used to confirm the hybrid nature of doubled haploids of interspecific hybrids of B. napus and B. rapa
In the metaphase of doubled haploids of interspecific hybrids, GISH analysis showed the origin of conjugation of chromosome regions

Summary

Introduction

The Climate of Kazakhstan is characterised by extreme volatility in meteorological conditions over the years and between seasons. The main regional areas of spring rapeseed cultivation are located in the north of the country where crops are mostly rainfed (USDA-FAS, 2010). Since spring rainfalls are the major source of water for plants in northern Kazakhstan, it is important to grow crop varieties with a shorter vegetative season (USDA-FAS, 2010). At the same time, rapeseed varieties cultivated for the food industry, The Brassicaceae family is unique in its capability of interspecific hybridization, and many methods for such hybridization have already been discovered. This in turn facilitates the creation of synthetic complexes from different species as well as from their polyploids. Effective model systems can be created to study the influence of polyploidy on crop yield (Lukens et al, 2006)

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