Current Status and Prospects of the Global Sugar Beet Industry DOI

Shuyuan Chen,

Chengwei Zhang, Jiajun Liu

et al.

Sugar Tech, Journal Year: 2024, Volume and Issue: 26(5), P. 1199 - 1207

Published: Oct. 1, 2024

Language: Английский

Role of Microbes in Alleviating Crop Drought Stress: A Review DOI Creative Commons
Zechen Gu,

Chengji Hu,

Yuxin Gan

et al.

Plants, Journal Year: 2024, Volume and Issue: 13(3), P. 384 - 384

Published: Jan. 27, 2024

Drought stress is an annual global phenomenon that has devastating effects on crop production, so numerous studies have been conducted to improve drought resistance. Plant-associated microbiota play a crucial role in health and growth; however, we limited understanding of the key processes involved microbiome-induced adaptation stress. In this review, summarize adverse growth terms germination, photosynthesis, nutrient uptake, biomass, yield, with focus response soil microbial communities plant-microbe interactions under Moreover, review morpho-physiological, biochemical, molecular mechanisms underlying mitigation effect microbes Finally, highlight future research directions, including characterization specific rhizosphere microbiome species corresponding root exudates efficiency rhizobacteria inoculants conditions. Such will advance our complex between crops resistance through application beneficial drought-adaptive microbes.

Language: Английский

Citations

19

Research on phytotoxicity assessment and photosynthetic characteristics of nicosulfuron residues on Beta vulgaris L DOI
Xiaoyu Zhao,

Qing Xie,

Baiquan Song

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 353, P. 120159 - 120159

Published: Feb. 1, 2024

Language: Английский

Citations

8

Mitigating negative impact of salinity on berseem (Trifolium alexandrinum) by foliar application of salicylic acid DOI Creative Commons
Masood Ahmad,

Maria Naqve,

Lihong Wang

et al.

Notulae Botanicae Horti Agrobotanici Cluj-Napoca, Journal Year: 2024, Volume and Issue: 52(1), P. 13467 - 13467

Published: March 28, 2024

Salicylic acid (SA) is a plant growth regulator known to take part in defense responses against different types of stresses, including salt stress. In this study, the role foliar applied SA improving berseem variety ‘Anmol’ under stress was examined. Plants were sown plastic pots sand. treated with concentrations salinity (0, 60 mM and 120 NaCl) salicylic 100 mg L-1 150 L-1) as spray. Salinity significantly reduced root shoot fresh dry weight, length, photosynthetic pigments Chl. a, b, a/b, total soluble proteins, amino acids uptake K+ Ca2+ ions tissues. Exogenous application improved traits contents (Chl. a/b carotenoids). Total protein contents, activities antioxidants peroxidase (POD), superoxide dismutase (SOD) catalase (CAT) also enhanced by spray saline non-saline conditions. played crucial lowering Na+ Cl− content tissues while enhancing ions. The study revealed that treatment influenced several parameters, length (8 cm), 6.7 cm, chlorophyll (1.2 mg/g FW), proteins (0.8 FW) (2.5 SOD (1.22 U/mg protein), CAT (1.75 potassium (29 DW), calcium (43 DW) during Therefore, field use (100 recommended enhance other fodder crops soils.

Language: Английский

Citations

5

Overexpression of SmGRAS5 enhances tolerance to abiotic stresses in Salvia miltiorrhiza DOI
Wenrui Li, Jinming Yu, Ruihong Wang

et al.

Plant Physiology and Biochemistry, Journal Year: 2025, Volume and Issue: unknown, P. 109669 - 109669

Published: Feb. 1, 2025

Language: Английский

Citations

0

Evaluating the Growth Performance of Nile and Red Tilapia and Its Influence on Morphological Growth and Yield of Intercropped Wheat and Sugar Beet Under a Biosaline Integrated Aquaculture–Agriculture System DOI Creative Commons
Khaled Madkour, Fahad Kimera, Muziri Mugwanya

et al.

Plants, Journal Year: 2025, Volume and Issue: 14(9), P. 1346 - 1346

Published: April 29, 2025

Integrated aquaculture-agriculture systems (IAASs) offer a sustainable approach to mitigating soil salinity by utilizing aquaculture effluents for irrigation. This study evaluates the growth performance of Nile tilapia (Oreochromis niloticus) and red spp.) under varying conditions investigates their on intercropped wheat sugar beet. A field experiment was conducted using randomized block design with seven treatments: control (chemical fertilizers dissolved in freshwater) brackish water from at salinities 5 ppt 10 as monocultures or mixed polycultures. Fish parameters were assessed, while beet morphological yield traits monitored. Statistical analyses, including correlation principal component analysis, performed. Red outperformed salinity, achieving highest final weight (174.52 ± 0.01 g/fish) gain (165.78 g/fish), polyculture exhibited optimal feed conversion (FCR: 1.32 0.01). Wheat (plant height, stalk diameter, panicle weight) declined significantly stress, treatments reducing plant height ~57% compared control. Conversely, demonstrated resilience, total soluble solids (TSS) increasing 20-30% salinity. The effluent partially mitigated effects but not ppt. highlights potential IAAS saline environments, demonstrating tilapia's adaptability beet's resilience stress. In contrast, suffered significant reductions yield.

Language: Английский

Citations

0

Comprehensive analysis of raffinose family oligosaccharide metabolism genes in Salix matsudana: Expression patterns and roles in abiotic stress adaptation DOI Creative Commons
Hui Wei, Yi Cao,

Peijian Yang

et al.

Industrial Crops and Products, Journal Year: 2025, Volume and Issue: 230, P. 121127 - 121127

Published: May 5, 2025

Language: Английский

Citations

0

Source-sink foliar boron (10B) mobility modulated by carbohydrate synthesis and confers antioxidative defense in sugar beet (Beta vulgaris L.) under water deficit conditions DOI Creative Commons
Md. Shah Newaz Chowdhury, Britta Pitann, Md. Sazzad Hossain

et al.

Plant Stress, Journal Year: 2025, Volume and Issue: unknown, P. 100903 - 100903

Published: May 1, 2025

Language: Английский

Citations

0

Classification of red beet and sugar beet for drought tolerance using morpho-physiological and stomatal traits DOI Creative Commons
Gamze Kaya, Nurgül Ergin

PeerJ, Journal Year: 2025, Volume and Issue: 13, P. e19133 - e19133

Published: March 21, 2025

Drought is a global phenomenon that endangers agricultural production by creating water scarcity. Selecting drought-tolerant cultivars, varieties, and species essential for maintaining the food supply advancing breeding efforts. The study aimed to compare red beet ( Beta vulgaris L. var. cruenta ) sugar B. altissima Döll.) drought tolerance at early growth stage considering morpho-physiological stomatal parameters. Three cultivars (Bicores, BT Pancina, Yakut) three (Mohican, Orthega KWS, Valentina) were subjected various stress (Control, 10%, 20% PEG-6000) 30 days four-leaf stage. Fresh dry plant weight, leaf area, matter, chlorophyll content (SPAD), temperature, relative content, membrane stability index, density, size investigated. results revealed exhibited different responses stress, greater percentage reduction in morphological parameters was observed cultivars. markedly reduced fresh weights, stability, size. Enhanced matter density identified. increased from 158 215 mm −2 while decreased 433 342 µm 2 plants PEG. Moderate effectively distinguished genotypes. It concluded appeared be more than could used selecting

Language: Английский

Citations

0

Remote sensing estimation of sugar beet SPAD based on un-manned aerial vehicle multispectral imagery DOI Creative Commons

Weishi Gao,

WanYing Zeng,

Sizhong Li

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(6), P. e0300056 - e0300056

Published: June 21, 2024

Accurate, non-destructive and cost-effective estimation of crop canopy Soil Plant Analysis De-velopment(SPAD) is crucial for precision agriculture cultivation management. Unmanned aerial vehicle (UAV) platforms have shown tremendous potential in predicting SPAD. This was because they can rapidly accurately acquire remote sensing spectral data the real-time. In this study, a UAV equipped with five-channel multispectral camera (Blue, Green, Red, Red_edge, Nir) used to images sugar beets. These were then combined five machine learning models, namely K-Nearest Neighbor, Lasso, Random Forest, RidgeCV Support Vector Machine (SVM), as well ground measurement predict SPAD The results showed that under both normal irrigation drought stress conditions, values ir-rigation treatment higher than those water-limited treatment. Multiple vegetation indices significant correlation SPAD, highest coefficient reaching 0.60. Among prediction different models high accuracy conditions. SVM model demon-strated good performance (R2) 0.635, root mean square error (Rmse) 2.13, relative (Re) 0.80% testing irrigation. Similarly, stress, exhibited 0.609, 2.71, rela-tive 0.10%. Overall, stability pre-diction model, greatly facilitating high-throughput phenotyping research beet

Language: Английский

Citations

2

Combined application of silica nanoparticles and brassinolide promoted the growth of sugar beets under deficit irrigation DOI

Hongliang Zhou,

Le Wang,

Jixia Su

et al.

Plant Physiology and Biochemistry, Journal Year: 2024, Volume and Issue: 216, P. 109165 - 109165

Published: Sept. 27, 2024

Language: Английский

Citations

2