cation number: 031A053). 1 www.fao.org 2 https://gbis.ipk-gatersleben.de/gbis2i/ 3 https://gbis.ipk-gatersleben.de/gbis2i/ 4 http://www.ipk-gatersleben.de/en/dept-genebank/satellite-collections-north/ 5 http://apps.fas.usda.gov/psdonline/ Supplementary Material The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2018.01142/full#supplementary-material Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additio
Open resource ↗lines:224-299Unverified paper record
Identification of Rapeseed ( Brassica napus ) Cultivars With a High Tolerance to Boron-Deficient Conditions.
Frontiers in Plant Science · 7 Aug 2018 · 10.3389/fpls.2018.01142
Abstract
Boron (B) is an essential micronutrient for seed plants. Information on B-efficiency mechanisms and B-efficient crop and model plant genotypes is very scarce. Studies evaluating the basis and consequences of B-deficiency and B-efficiency are limited by the facts that B occurs as a trace contaminant essentially everywhere, its bioavailability is difficult to control and soil-based B-deficiency growth systems allowing a high-throughput screening of plant populations have hitherto been lacking. The crop plant Brassica napus shows a very high sensitivity towards B-deficient conditions. To reduce B-deficiency-caused yield losses in a sustainable manner, the identification of B-efficient B. napus genotypes is indispensable. We developed a soil substrate-based cultivation system which is suitable to study plant growth in automated high-throughput phenotyping facilities under defined and repeatable soil B conditions. In a comprehensive screening, using this system with soil B concentrations below 0.1 mg B (kg soil)-1, we identified three highly B-deficiency tolerant B. napus cultivars (CR2267, CR2280 and CR2285) amongst a genetically diverse collection comprising 590 accessions from all over the world. The B-efficiency classification of cultivars was based on a detailed assessment of various physical and high-throughput imaging-based shoot and root growth parameters in soil substrate or in in vitro conditions, respectively. We identified cultivar-specific patterns of B-deficiency-responsive growth dynamics. Elemental analysis revealed striking differences only in B contents between contrasting genotypes when grown under B-deficient but not under standard conditions. Results indicate that B-deficiency tolerant cultivars can grow with a very limited amount of B which is clearly below previously described critical B-tissue concentration values. These results suggest a higher B utilization efficiency of CR2267, CR2280 and CR2285 which would represent a unique trait amongst so far identified B-efficient B. napus cultivars which are characterized by a higher B-uptake capacity. Testing various other nutrient deficiency treatments, we demonstrated that the tolerance is specific for B-deficient conditions and is not conferred by a general growth vigor at the seedling stage. The identified B-deficiency tolerant cultivars will serve as genetic and physiological ‘tools’ to further understand the mechanisms regulating the B nutritional status in rapeseed and to develop B-efficient elite genotypes.
Plant phenotyping relevance
土壌B条件を制御した自動ハイスループット表現型解析システムを開発し、画像ベースの生長形質で590系統を評価しており、表現型取得基盤が研究の中心的役割を担う。
abstractWe developed a soil substrate-based cultivation system which is suitable to study plant growth in automated high-throughput phenotyping facilities under defined and repeatable soil B conditions.
abstractThe B-efficiency classification of cultivars was based on a detailed assessment of various physical and high-throughput imaging-based shoot and root growth parameters
Code and data availability
The paper's phenotyping measurements (590-accession B-efficiency screen, root cessation assay, imaging-derived traits, substrate nutrient quantification) are distributed as Supplementary Data Sheets S1–S5, publicly available via the Frontiers article's supplementary material page. No author analysis code or trained模型的专
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