Mineral nitrogen fertilization has improved crop yield over the last century but has also caused air and water pollution. Reduction of nitrogen inputs and maintaining high yields are therefore essential to ensure a more sustainable agriculture. Improving the nitrogen use efficiency (NUE) of crops is therefore needed. Rapeseed, Brassica napus, depends on nitrogen fertilization due to its low NUE, with the ratio of plant nitrogen content to nitrogen supplied often not exceeding 60 %. Here, we review the major phenotypic traits associated with NUE in B. napus, with special emphasis on winter oilseed rape. We discuss the genetic diversity available and potential breeding strategies. The major points are the following: (1) rapeseed seed yield elaboration is complex, with overlapping phases of nitrogen uptake and remobilization during the crop cycle; (2) traits related to nitrogen uptake, such as root length and the amount of nitrogen absorbed after flowering, and traits related to nitrogen remobilization, such as the “stay-green” phenotype, have been identified as possible levers to improve NUE in rapeseed; (3) a substantial body of studies investigating the genetic control of NUE traits have already published and potential candidate genes identified; and (4) rapeseed genetic diversity may be enriched by exploiting interpopulation genetic variation and the closely related gene pools of Brassica rapa and Brassica oleracea.
Seeds are involved in the transmission of microorganisms from one plant generation to the next and consequently act as reservoirs for the plant microbiota. The driving processes influencing seed microbiota assemblage have not been yet deciphered because of confounding factors related to environmental location, agricultural practices, and host genotype selection. Nine genotypes were chosen among a large panel of genetically diverse Brassica napus accessions. The taxonomic structure of the seed microbiota was monitored by amplification and subsequent high-throughput sequencing of gyrB and internal transcribed spacer 1 markers for two successive years on seed lots collected from self-pollinated plants. Seed germination capacities were compared between all seed lots. Although harvesting year was the main driver of seed microbiota composition, the host genotype also significantly altered the structure of seed microbial assemblages. The core microbiota of B. napus included nine fungal taxa shared between all the genotypes and years, while no bacterial taxa were conserved across all genotypes and years. The harvesting year had the major effect on seed germination but with some differences between genotypes. The study demonstrated the relative contribution of host- and environmental-filtering on the assemblage of the seed microbiota. It suggested some influence of these assemblages on seed germination.
Despite its high nitrogen absorption capacity, oilseed rape (OSR) has a low apparent nitrogen use efficiency (NUE), which makes its production highly dependent on nitrogen fertilization. Improving NUE in OSR is therefore a main target in breeding. The objectives of the present work were to determine the genomic regions (QTLs) associated with yield and to assess their stability under contrasted nitrogen nutrition regimes. One mapping population, AM, was tested in a French location for three growing seasons (2011, 2012 and 2013), under two nitrogen conditions (optimal and low). Eight yield-related traits were scored and nitrogen-responsive traits were calculated. A total of 104 QTLs were detected of which 28 controlled flowering time and 76 were related to yield and yield components. Very few genotype × nitrogen interactions were detected and the QTLs were highly stable between the nitrogen conditions. In contrast, only a few QTLs were stable across the years of the trial, suggesting a strong QTL × year interaction. Finally, eleven critical genomic regions that were stable across nitrogen conditions and/or trial years were identified. One particular region located on the A5 linkage group appears to be a promising candidate for marker assisted selection programs. The different strategies for OSR breeding using the QTLs found in the present study are discussed.