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Sugar beet (Beta vulgaris L.) is an important sugar crop that is popularly cultivated in a variety of agriculture conditions. Here, we studied sugar beet growth in different pH soils (pH 5.0, 5.5, 6.0, 6.5, 7.0, 7.5, 8.0, 8.5, and 9.0) and analyzed their growth status and physiology. Sugar beet growth was best at pH 9.0 and worst at pH 5.0. As the soil pH decreased from 9.0 to 5.0, the osmoregulatory substances, antioxidant enzyme activity, and elemental contents in leaves and roots showed increasing trends, while photosynthesis and macronutrient contents showed decreasing trends. To explore the physiological mechanisms sugar beet use to respond to different pH environments, we analyzed the correlations between leaf net photosynthesis rate and physiological changes and nutrient contents of sugar beet. One of the factors inhibiting sugar beet growth in low pH soils was a reduction in photosynthetic capacity. The accumulation of osmoregulatory substances and increased peroxidative damage may have led to the decrease in leaf net photosynthesis rate. Furthermore, the decrease in nutrient content and accumulation of metal elements were correlated with the decrease in leaf photosynthetic rate. QRT-PCR analysis showed higher expression levels of antioxidant enzyme genes in the leaves and roots of sugar beet grown in low pH environments compared to those in high pH environments. Correspondingly, antioxidant enzyme activity was significantly higher in beets in low pH environments than in beets in high pH environments. These results provide important insight into the physiological responses by which sugar beet can adapt to different pH soils.
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http://dx.doi.org/10.1016/j.jplph.2022.153771 | DOI Listing |
BMC Genomics
December 2024
Department of Agricultural Biology, Colorado State University, Fort Collins, CO, 80523, USA.
Background: Sugar beets (Beta vulgaris L.) are grown worldwide and suffer economic loss annually due to curly top disease caused by the beet curly top virus (BCTV). The virus is spread by the beet leafhopper (BLH), Circulifer tenellus Baker.
View Article and Find Full Text PDFExp Parasitol
December 2024
Department of Botany, Aligarh Muslim University, Aligarh-202002, INDIA. Electronic address:
Effect of Meloidogyne incognita and Pseudomonas syringae pv. aptata (Psa) was observed singly, together and pre and post inoculations in 4 soil types on plant growth, parameters, chlorophyll, carotenoid and proline contents of beetroot (Beta vulgaris L). Plant growth, chlorophyll and carotenoid contents were greater in loam soil followed by 20% fly ash soil, 10% fly ash plus 10% sand amended soil and least in 20 % sand mix soil.
View Article and Find Full Text PDFPlant Methods
December 2024
Institute of Sugar Beet Research, Göttingen, Niedersachsen, 37079, Germany.
Background: This research proposes an easy to apply quality assurance pipeline for hyperspectral imaging (HSI) systems used for plant phenotyping. Furthermore, a concept for the analysis of quality assured hyperspectral images to investigate plant disease progress is proposed. The quality assurance was applied to a handheld line scanning HSI-system consisting of evaluating spatial and spectral quality parameters as well as the integrated illumination.
View Article and Find Full Text PDFBMC Plant Biol
December 2024
Department of Plant Protection Biology, Swedish University of Agricultural Sciences, P.O. Box 190, Lomma, SE-234 22, Sweden.
Background: Aphanomyces root rot is one of the most severe diseases in sugar beet (Beta vulgaris L.), resulting in drastic losses in sugar yield and plant degeneration. The causal agent is the soil-borne pathogen Aphanomyces cochlioides, a phytopathogenic oomycete able to infect sugar beet roots from the seedling stage until harvest.
View Article and Find Full Text PDFInt J Mol Sci
November 2024
Northwest Irrigation and Soils Research Laboratory (NWISRL), United States Department of Agriculture (USDA)-Agricultural Research Service (ARS), Kimberly, ID 83341, USA.
Post-harvest storage loss in sugar beets due to root rot and respiration can cause >20% sugar loss. Breeding strategies focused on factors contributing to improved post-harvest storage quality are of great importance to prevent losses. Using 16S rRNA and ITS sequencing and sugar beet mutational breeding lines with high disease resistance (R), along with a susceptible (S) commercial cultivar, the role of root microbiome and metabolome in storage performance was investigated.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!