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Nitrate (NO3−) deficiency decreases root water uptake and root hydraulic conductance. This adaptive response is correlated with reduced abundance and activity of plasma membrane intrinsic protein (PIP) aquaporins. We therefore screened changes in the root architecture of a complete set of Arabidopsis pip loss‐of‐function mutants grown under NO3− deficiency to systematically approach the impact of PIPs under these conditions. NO3− deprivation led to attenuated responses of specific pip single mutants compared to the strongly altered LR parameters of wild‐type plants. In particular, pip1;1 exhibited a lower relative reduction in LR length and LR density, revealing that PIP1;1 represses LR development when NO3− is scarce. Indeed, PIP1;1 compromises root and shoot NO3− accumulation during early developmental stages. A fluorescent VENUS‐PIP1;1 fusion revealed that PIP1;1 is specifically repressed in the pericycle, endodermis and at the flanks of emerging LRs upon NO3− deficiency. Thus, LR plasticity and NO3− uptake are affected by an interactive mechanism involving aquaporins (PIP1;1) and nitrate accumulation during seedling development under NO3−‐deficient conditions. Summary statement: Nitrate deficiency represses Arabidopsis root water uptake and the expression of several PIP‐type aquaporins.Here, the analysis of a complete collection of 15 single pip loss‐of‐function mutants revealed that in turn PIP1;1 suppresses lateral root development and nitrate accumulation under low nitrate availability.Thus, plants employ an interactive mechanism linking root architecture, PIP expression and nutrient uptake in response to low nitrate conditions. [ABSTRACT FROM AUTHOR]

White lupin (Lupinus albus) has become a model plant for understanding plant adaptations to phosphorus (P) and iron (Fe) deficiency, two major limiting factors for plant productivity. In response to both nutrient deficiencies, white lupin forms cluster roots, bottle-brush-like root structures that aid in P and Fe acquisition from soil. While the cluster root function is well-studied, not much is known about the signaling pathways involved in sensing and responding to a P and Fe deficiency. Sucrose has been identified as a long-distance signal sent in increased concentrations from shoot to root in response to both a P and Fe deficiency. Thus, sucrose plays a dual role both as a signal and as a major source of energy for the root. To unravel the responses to sucrose as a signal, we performed an Illumina paired-end cDNA sequencing of white lupin roots treated with sucrose for 20, 40 or 80 min, compared to untreated controls (0 min). We identified 634 up-regulated and 956 down-regulated genes in response to sucrose. Twenty minutes of sucrose treatment showed the most responses, with the ethylene-activated signaling pathway as the most enriched Gene Ontology (GO) category. The number of up-regulated genes decreased at 40 min and 80 min, and protein dephosphorylation became the most enriched category. Taken together, our findings indicate active responses to sucrose as a signal at 20 min after a sucrose addition, but fewer responses and a potential resetting of signal transduction pathways by the dephosphorylation of proteins at 40 and 80 min. [ABSTRACT FROM AUTHOR]

Nitrogen (N) is a major plant nutrient and its deficiency can arrest plant growth. However, how low-N stress impair plant growth and its related tolerance mechanisms in peanut seedlings has not yet been explored. To counteract this issue, a hydroponic study was conducted to explore low N stress (0.1 mM NO3−) and normal (5.0 mM NO3−) effects on the morpho-physiological and molecular attributes of peanut seedlings. Low-N stress significantly decreased peanut plant height, leaf surface area, total root length, and primary root length after 10 days of treatment. Meanwhile, glutamate dehydrogenase, glutamine oxoglutarate aminotransferase activities, chlorophyll, and soluble protein contents were substantially decreased. Impairment in these parameters further suppressed photochemical efficiency (Fv/Fm), and chlorophyll fluorescence parameters (PIABS), under low-N stress. Transcriptome sequencing analysis showed a total of 2139 DEGs were identified between the two treatments. KEGG enrichment annotation analysis of DEGs revealed that 119 DEGs related to 10 pathways, including N assimilation, photosynthesis, starch, and sucrose degradation, which may respond to low-N stress in peanuts. Combined with transcriptome, small RNA, and degradome sequencing, we found that PC-3p-142756_56/A.T13EMM (CML3) and PC-5p-43940_274/A.81NSYN (YTH3) are the main modules contributing to low N stress tolerance in peanut crops. Peanut seedlings exposed to N starvation exhibited suppressed gene expression related to nitrate transport and assimilation, chlorophyll synthesis, and carbon assimilation, while also showing improved gene expression in N compensation/energy supply and carbohydrate consumption. Additionally, low N stress tolerance was strongly associated with the miRNA.Key message: Low nitrogen stress up-regulated genes expression in amino acid catabolism, starch and sucrose degradation, while down-regulated in nitrogen assimilation, photosynthesis, and carbon fixation in peanut. MicroRNA played crucial roles in helping peanut seedlings adapt to N starvation. [ABSTRACT FROM AUTHOR]

Soil is an important resource worldwide with diverse physical, chemical, and biological properties. These properties vary from place to place because ecological variables such as temperature, moisture, and land use vary across different ecosystems. Soil quality has declined, which has led to increased demand for food, which poses significant problems in enhancing agricultural production and promoting environmental sustainability. The traditional methods for analyzing soil nutrients are labor-intensive, tedious, and expensive. The soil properties were effectively analyzed via artificial intelligence (AI) techniques, including machine learning (ML) and deep learning (DL) applications, to explain challenging problems with high accuracy and robustness. To interpret multidimensional data inputs derived from agro-industries and provide farmers with relevant information about crop conditions and soil management. AI can increase crop production by optimizing soil nutrient management. With artificial intelligence technology, farmers can identify potential deficits in soil quality, while Machine learning technologies, such as random forests (RF), support vector machines (SVMs), and Artificial and Deep neural networks (ANN, DNN), were used to generate predictive models on the basis of available soil data and auxiliary ecological variables. This review provides a detailed overview of the diverse AI tools and models used for the detection of various soil properties. [ABSTRACT FROM AUTHOR]

Roots play essential roles in the acquisition of water and minerals from soils in higher plants. However, water or nutrient limitation can alter plant root morphology. To clarify the spatial distribution characteristics of essential nutrients in citrus roots and the influence mechanism of micronutrient deficiency on citrus root morphology and architecture, especially the effects on lateral root (LR) growth and development, two commonly used citrus rootstocks, trifoliate orange (Poncirus trifoliata L. Raf., Ptr) and red tangerine (Citrus reticulata Blanco, Cre), were employed here. The analysis of the mineral nutrient distribution characteristics in different root parts showed that, except for the P concentrations in Ptr, the last two LR levels (second and third LRs) had the highest macronutrient concentrations. All micronutrient concentrations in the second and third LRs of Ptr were higher than those of Cre, except for the Zn concentration in the second LR, which indicates that Ptr requires more micronutrients to maintain normal root system growth and development. Principal component analysis (PCA) showed that B and P were very close in terms of spatial distribution and that Mo, Mn, Cu, and Fe contributed significantly to PC1, while B, Cu, Mo, and Zn contributed significantly to PC2 in both rootstocks. These results suggest that micronutrients are major factors in citrus root growth and development. The analysis of root morphology under micronutrient deficiency showed that root growth was more significantly inhibited in Ptr and Cre under Fe deficiency (FeD) than under other micronutrient deficiencies, while Cre roots exhibited better performance than Ptr roots. From the perspective of micronutrient deficiency, FeD and B deficiency (BD) inhibited all root morphological traits in Ptr and Cre except the average root diameter, while Mn deficiency (MnD) and Zn deficiency (ZnD) had lesser impacts, as well as the morphology of the stem. The mineral nutrient concentrations in Ptr and Cre seedlings under micronutrient deficiency revealed that single micronutrient deficiencies affected both their own concentrations and the concentrations of other mineral nutrients, whether in the roots or in stems and leaves. Dynamic analysis of LR development revealed that there were no significant decreases in either the first or second LR number in Ptr seedlings under BD and ZnD stress. Moreover, the growth rates of first and second LRs in Ptr and Cre did not significantly decrease compared with the control under short-term (10 days) BD stress. Altogether, these results indicate that micronutrients play essential roles in citrus root growth and development. Moreover, citrus alters its root morphology and biological traits as a nutrient acquisition strategy to maintain maximal micronutrient acquisition and growth. The present work on the spatial distribution characteristics and micronutrient deficiency of citrus roots provides a theoretical basis for effective micronutrient fertilization and the diagnosis of micronutrient deficiency in citrus. [ABSTRACT FROM AUTHOR]

ABSTRACT Malnutrition has been reported in congenital ichthyoses in several studies, but its prevalence in Indian children with congenital ichthyoses (CI) as compared to unaffected children is unknown. The objective was to assess the prevalence of malnutrition in 32 children with CI and matched healthy controls and to study the correlation between clinical severity of ichthyosis using visual ichthyosis index severity (VIIS) score with malnutrition, biochemical parameters (hemoglobin, vitamin D, protein and albumin). Malnutrition was detected in 46.8% (15/32) [wasting 40.6%; stunting 37.5%] of children with CI and 18.8% (6/32) (wasting 15.6%; stunting 12.5%) of controls (p value < 0.001) and there was positive correlation between the severity of ichthyosis and malnutrition (p value < 0.001). Children with ichthyosis are at increased risk of malnutrition, and early identification and treatment of malnutrition could improve the severity of ichthyosis and growth potential. [ABSTRACT FROM AUTHOR]

Objective: This study evaluates the collaborative effect of exogenous enzyme blend and dietary nutrient density on the performance of broiler chicken. Methods: A total of 600 Ross 308 broiler chickens with same average initial body weight were randomly assigned to 5 treatments. Each treatment contained 8 replicates, and 15 birds per replicate. The diets included a control (CON) starter/finisher (S/F) diet with metabolizable energy (ME) 3,100/3,200 in Kcal/kg and crude protein (CP) content 22.0.0/20.00 in % as (S/F 3,100/3,200 Kcal/kg + CP [22.00/20.00]%), S/F with ME 3,060/3,150 Kcal/kg + CP (21.50/19.50)% with and without the exogenous enzyme blend as (S/F 3,060/3,150 Kcal/kg + [21.50/19.50]% with, and without the exogenous enzyme blend), and lastly, S/F with ME 3,010/3,100 Kcal/kg + CP (21.50/19.50)% with, and without the exogenous enzyme blend as (S/F 3,010/3,100 Kcal/kg + [21.50/19.50]% with, and without the exogenous enzyme blend). The impact of the treatments was tested on growth performance, nutrient digestibility, blood metabolites, intestinal microflora, and morphology of broiler chicken. Results: The inclusion of exogenous enzyme blend in the nutrient-deficient diet S/F 3,060/3,150 + 21.50/19.50 increased (p<0.05) broilers body weight, feed conversion ratio, nutrient digestibility of CP, gross energy, phosphorus, and blood phosphorus, with tendency (p<0.10) of higher dry matter. The treatment also showed lower (p<0.05) total anaerobic bacteria, coliform, and higher (p<0.05) villus height (VH) in the jejunum, with tendencies (p<0.10) of higher lactobacillus in the ileum and caecum, and higher tendency (p<0.10) of VH in duodenum and ileum. Conclusion: We concluded that the improved performance could be attributed to the potency of S/F 3,060/3,150 + 21.50/19.50 supplemented with 0.05% of the multienzyme to reduce the level of potential pathogenic bacteria with an increased level of positive bacteria, which in turn creates an enabling intestinal villi structure in broiler chicken. [ABSTRACT FROM AUTHOR]

Main conclusion: Nutrient deficiency intensifies drought and salinity stress on rice growth. Bacillus amyloliquefaciens inoculation provides resilience through modulation in metabolic and gene regulation to enhance growth, nutrient uptake, and stress tolerance. Soil nutrient deficiencies amplify the detrimental effects of abiotic stresses, such as drought and salinity, creating substantial challenges for overall plant health and crop productivity. Traditional methods for developing stress-resistant varieties are often slow and labor-intensive. Previously, we demonstrated that plant growth-promoting rhizobacteria Bacillus amyloliquefaciens strain SN13 effectively alleviates stress induced by sub-optimum nutrient conditions in rice. In this study, we evaluated the effectiveness of SN13 in reducing the compounded impacts of drought and salinity under varying nutrient regimes in rice seedlings. The results demonstrated that PGPR inoculation not only improved the growth parameters, nutrient content, and physio-biochemical characteristics under nutrient-limited conditions, but also reduced the oxidative stress markers. The altered expression of stress-related and transcription factor genes (USP, DEF, CYP450, GST, MYB, and bZIP) revealed the regulatory effect of PGPR in enhancing stress tolerance through these genes. GC–MS-based untargeted metabolomic analysis revealed that PGPR significantly influenced various metabolic pathways, including galactose metabolism, fructose and mannose metabolism, and fatty acid biosynthesis pathways, suggesting that PGPR affects both energy production and stress-protective mechanisms, facilitating better growth and survival of rice seedlings. [ABSTRACT FROM AUTHOR]

Rice (Oryza sativa L.) is the fourth main food crop globally and is crucial for food security worldwide. Fertilization plays a significant part in rice yield and excellence and is a major portion of rice field management. Nutrient deficiency in the soil is considered as the main factor. Fundamentally, macronutrients are nutrients that contain more attention than micronutrients and are vital for tissue growth and plant cells. The most essential nutrients for plants are nitrogen (N), phosphorus (P), and potassium (K). A computer vision-based automated nutrition position of rice recognition model has occurred in agriculture. Deep convolutional neural network (DCNN) learning depends upon an artificial neural network (ANN) that can absorb and create intelligent forecasts using techniques. This objective focuses on the design of the Rhinopithecus Swarm Optimization Algorithm for Diagnosing Nutrient Deficiency Rice Crop (RSOA-NDRC) technique for the identification of nutrient deficiency in rice crops using a parameter-tuned Deep Learning (DL) model. Several stages of the RSOA-NDRC technique achieve this. In preprocessing, RGB images are converted into HSV images to remove the background. Binary images are produced based on hue and saturation to separate the diseased from the non-diseased areas. In addition, Feature extraction is performed using the ShuffleNet method. The deep fuzzy neural network (DFNN) approach was applied to identify nutrient deficiencies. Finally, the rhinopithecus swarm optimization (RSO) model-based hyperparameter selection procedure is used to enhance the recognition outcomes of the DFNN approach. A comprehensive set of experimentations was performed to establish the improved performance of the RSOA-NDRC technique. The performance validation of the RSOA-NDRC technique portrayed a superior accuracy value of 98.85% over existing models. [ABSTRACT FROM AUTHOR]

Pecan is an important nut crop in the United States. It is native to North America and dominantly produced in the southern states in the US. Nitrogen and zinc are two of the most critical nutrients for pecan production. This review provides a comprehensive overview of nitrogen and zinc fertilizer management in pecan orchards, covering key topics such as nitrogen sources, nitrogen application rates, the timing of nitrogen application, nitrogen application of damaged trees, the impact of zinc deficiency, and methods for zinc application. The deficiency of these nutrients causes severe loss in pecan production. However, the cost involving nutrient application and post the effect of excessive application on the soil and environment is of serious discussion. This review summarizes nitrogen and zinc management strategy and explores application methods that can reduce the cost of fertilizer with minimal adverse effect on the soil and environment. Also, this review sheds light on the areas that needs extensive research in nutrient management in pecan production. [ABSTRACT FROM AUTHOR]

SUMMARY: Plants acquire phosphorus (P) primarily as inorganic phosphate (Pi) from the soil. Under Pi deficiency, plants induce an array of physiological and morphological responses, termed phosphate starvation response (PSR), thereby increasing Pi acquisition and use efficiency. However, the mechanisms by which plants adapt to Pi deficiency remain to be elucidated. Here, we report that deposition of a β‐1,3‐glucan polymer called callose is induced in Arabidopsis thaliana root hairs under Pi deficiency, in a manner independent of PSR‐regulating PHR1/PHL1 transcription factors and LPR1/LPR2 ferroxidases. Genetic studies revealed PMR4 (GSL5) callose synthase being required for the callose deposition in Pi‐depleted root hairs. Loss of PMR4 also reduces Pi acquisition in shoots and plant growth under low Pi conditions. The defects are not recovered by simultaneous disruption of SID2, mediating defense‐associated salicylic acid (SA) biosynthesis, excluding SA defense activation from the cause of the observed pmr4 phenotypes. Grafting experiments and characterization of plants expressing PMR4 specifically in root hair cells suggest that a PMR4 pool in the cell type contributes to shoot growth under Pi deficiency. Our findings thus suggest an important role for PMR4 in plant adaptation to Pi deficiency. [ABSTRACT FROM AUTHOR]

Male and female dioecious plants often show sexual dimorphism, differing in morphological, physiological and life‐history traits. Most previous studies have focused on differences between males and females during or after reproduction, paying little attention to the pre‐reproductive stages of the individuals.Here we assessed the response of male and female individuals of the dioecious plant Silene latifolia to abiotic stress at different life stages, including pre‐reproductive (i.e. seedlings and young plants) and reproductive individuals. We measured growth, resource allocation and discrimination against 13C under nutrient deficiency, water stress, as well as their interaction.We observed sexual dimorphism in root growth, with female seedlings having longer main roots than male plants. Pre‐reproductive male and female plants also responded differently, in terms of root allocation, to nutrient and water availability. At reproduction, females grew more roots than males when water was not limiting. These differences could help explain the female‐skewed sex ratios found in natural populations of S. latifolia. We found no evidence of sexual dimorphism in aboveground dry mass, although females had longer leaves than males at the seedling stage.We conclude that sexual dimorphism in S. latifolia may occur not as a consequence of reproduction, but well before it. [ABSTRACT FROM AUTHOR]

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Abstract Background The gut microbiota can facilitate host growth under nutrient-constrained conditions. However, whether this effect is limited to certain bacterial species remains largely unclear, and the relevant underlying mechanisms remain to be thoroughly investigated. Results We found that the microbiota was required for Bactrocera dorsalis larval growth under poor dietary conditions. Monoassociation experiments revealed that Enterobacteriaceae and some Lactobacilli promoted larval growth. Among the 27 bacterial strains tested, 14 significantly promoted larval development, and the Enterobacteriaceae cloacae isolate exhibited the most obvious promoting effect. A bacterial genome-wide association study (GWAS) revealed that the vitamin B6 synthesis pathway was critical for the promotion of E. cloacae growth. Deletion of pdxA, which is responsible for vitamin B6 biosynthesis, deprived the mutant strains of larval growth-promoting function, indicating that the 4-hydroxythreonine-4-phosphate dehydrogenase(pdxA) gene was crucial for promoting larval growth in E. cloacae. Importantly, supplementation of a poor diet with vitamin B6 successfully rescued the axenic larval growth phenotype of B. dorsalis. Conclusion Our results suggest that gut microbes promote insect larval growth by providing vitamin B6 under nutrient scarcity conditions in B. dorsalis. Video Abstract

Purpose: We explored the elicitation role of the laser irradiations on the alleviation of nutrient-deficiency induced damage in anthocyanin-producing red-fleshed apple cell suspension in continuous production of anthocyanin. Methods: Anthocyanin-producing red-fleshed apple cells were irradiated by 4 intensity levels of red He-Ne (RHNL) and blue diode (BDL) lasers for 20 min. Results: Nutrient deficiency indicated negative effect on total soluble proteins (TSP), superoxidase dismutase (SOD) activity, and total phenolics content (TPC) while it displayed a positive effect on malondialdehyde (MDA), total flavonoids content (TFC), O2-, H2O2-, and lipoxygenase (LOX) and polyphenol oxidase (PPO) activities in light controls, illustrating oxidative stress. The laser irradiations on suspension cells indicated variable effects on measured parameters and were time of growth-, levels of intensity-, and laser type-dependent. Likewise, the elicitation effects of lasers relied on a critical threshold among ROS generation and antioxidative system which determines the fate of cells against oxidative stress. The same trend was displayed by RHNL at 6.46 mWcm−2 intensity and BDL at 13.73 mWcm−2. These intensities resulted in a significant increase in SOD, APX, POD, and CAT activities and TSP, TPC, TFC, proline, and glycine betaine accumulation, while induced decrease in LOX, and PPO activities and MDA, and ROS generation, alleviating cellular injury from prolonged nutrient deficiency by diminishing lipid peroxidation and oxidative damages of cell membrane. Conclusion: Results suggested that lasers application on mitigating nutrient deficiency stress relied on establishing a suitable balance between ROS generation and antioxidative system, which enables the nutrient-starved anthocyanin-producing cells to continuously produce anthocyanin. [ABSTRACT FROM AUTHOR]

The wheat–maize rotation system in the North China Plain (NCP) has a large amount of crop straw. However, improper crop straw management and blind fertilization lead to nutrient imbalance and accelerated nutrient loss from the soil, ultimately leading to nutrient deficiency affecting the wheat–maize rotation system. In order to explore the effects of nutrient deficiency on the yield and nutrient use efficiency of wheat and maize, the experiment was conducted in a randomized complete block design consisting of five treatments with three replicates for each treatment: (1) a potassium fertilizer deficiency and appropriate nitrogen and phosphate fertilizer treatment (NP); (2) a phosphate fertilizer deficiency and appropriate nitrogen and potassium fertilizer treatment (NK); (3) a nitrogen fertilizer deficiency and appropriate phosphate and potassium fertilizer treatment (PK); (4) an adequate nitrogen, phosphorus, and potassium fertilizer treatment (NPK); and (5) a no-fertilizer treatment (CK). The results showed that, compared with CK, the yields of wheat and maize treated with NPK were increased by 21.5% and 27.5%, respectively, and the accumulation of the dry matter of the wheat and maize was increased by 42.5% and 57.3%. In all the deficiency treatments, the NK treatment performed better in terms of yield compared to the NP and PK treatments, while the NP treatment demonstrated a greater increase in dry matter accumulation. The NPK treatment significantly improved the nitrogen use efficiency (NUE) and nitrogen harvest index (NHI) of the wheat and maize, which resulted in higher nitrogen accumulation in the NPK treatment, and the NP treatment was the best among the other nutrient deficiency treatments. The inorganic nitrogen content showed a similar trend. In conclusion, nutrient deficiency can severely restrict crop growth. Nitrogen deficiency can significantly reduce crop yields. Phosphorus deficiency had a greater impact than potassium deficiency in terms of nutrient absorption and accumulation. Therefore, nitrogen fertilizer application should be emphasized in crop rotation systems, with moderate increases in phosphorus fertilizer application. This practice can effectively improve the nutrient deficiency under the wheat and maize rotation system in the NCP and complete a rational fertilization system. [ABSTRACT FROM AUTHOR]

Efforts to increase grape yields have focused on using nitrogen, phosphorus, and potassium fertilizers, often causing unintended magnesium (Mg) deficiencies. To overcome Mg deficiency, different concentrations of MgSO4·7H2O (0, 1, 2, 3, 4 mM) and GABA (2.5 mM), as foliar sprays, were applied during the fruit enlargement and color transition stages. Key physiological parameters such as leaf growth, photosynthesis, and chlorophyll fluorescence were assessed. Interestingly, foliar Mg application increased the key physiological parameters, with the 3 mM treatment (M3) delivering the best improvement. Compared to the control, the M3 treatment increased dry weight and leaf area by 35.9% and 37.2%, respectively. Specifically, the foliar Mg application (M3) improved the photosynthesis (Pn), transpiration (Tr), and stomatal conductance (gs) of leaves when compared to the control. Additionally, the foliar Mg application improved the PSII photosynthetic efficiency, electron yield, and electron transport rates, following the order M2 > M3 > M1 > M0 > M4. This study demonstrated the essential role of foliar-applied Mg, with GABA, in improving grape physiology. Interestingly, the curve-fitting analysis of foliar Mg concentration and grape yield identified 2.14 mM of Mg as the optimal concentration for promoting grape growth. [ABSTRACT FROM AUTHOR]

Background: The gut microbiota can facilitate host growth under nutrient-constrained conditions. However, whether this effect is limited to certain bacterial species remains largely unclear, and the relevant underlying mechanisms remain to be thoroughly investigated. Results: We found that the microbiota was required for Bactrocera dorsalis larval growth under poor dietary conditions. Monoassociation experiments revealed that Enterobacteriaceae and some Lactobacilli promoted larval growth. Among the 27 bacterial strains tested, 14 significantly promoted larval development, and the Enterobacteriaceae cloacae isolate exhibited the most obvious promoting effect. A bacterial genome-wide association study (GWAS) revealed that the vitamin B6 synthesis pathway was critical for the promotion of E. cloacae growth. Deletion of pdxA, which is responsible for vitamin B6 biosynthesis, deprived the mutant strains of larval growth-promoting function, indicating that the 4-hydroxythreonine-4-phosphate dehydrogenase(pdxA) gene was crucial for promoting larval growth in E. cloacae. Importantly, supplementation of a poor diet with vitamin B6 successfully rescued the axenic larval growth phenotype of B. dorsalis. Conclusion: Our results suggest that gut microbes promote insect larval growth by providing vitamin B6 under nutrient scarcity conditions in B. dorsalis. Dswoh3a91svsnnT3oBX6dH Video Abstract [ABSTRACT FROM AUTHOR]

Nutrient deficiency identification in plants is crucial for precision agriculture. Over the past decade, the application of digital imagery and deep learning has been utilized to tackle challenges related to this task. Nevertheless, the constraints inherent in current models have significantly heightened the difficulty of this task. To overcome these limitations, this study proposes an ensemble transfer learning method for nutrient deficiency identification and yield-loss prediction in crops using plant-leaf images. The proposed method is evaluated through two experiments. The initial experiment canters on the classification of images according to their nutrient deficiency, while the second experiment determines the yield loss based on the severity of the deficient nutrient. The proposed ensemble transfer learning methodology achieves remarkable accuracy rates of 99% and 94% for the groundnut and rice datasets, respectively. Furthermore, the severity-based crop yield prediction method predicts yield loss of 32.5% and 28.34% for the rice and groundnut datasets, respectively. The study utilizes two different crop datasets that represent actual environmental conditions. The first dataset contains 4399 leaf images of the rice plant, while the second dataset contains 4550 leaf images of the groundnut plant. The proposed method outperforms existing models and demonstrates that digital imagery and Deep learning can play a significant role in addressing agricultural challenges within the context of precision agriculture. [ABSTRACT FROM AUTHOR]

Leafy vegetables are widely consumed around the world for their rich nutritional qualities. To ensure a reliable and cost-effective supply of leafy vegetables in the future, advancements in their production are essential. Deficiencies of nitrogen (N), phosphorus (P), and potassium (K) impair growth of leafy vegetables and the ensuing visual symptoms make the plants unmarketable. We studied the use of non-contact large area hyperspectral imaging (HSI) for early detection of N, P and K deficiencies in the leafy vegetable, Choy Sum, before the appearance of visual symptoms. The wide spectral data of 500-900 nm extracted from the plants were subjected to advanced feature mining, facilitating the creation of novel spectral indices tailored to each vital nutrient by leveraging the Pearson's correlations of 0.85 for N, 0.64 for P, and 0.68 for K with gold standard elemental concentration data. Early detection of deficiencies and timely replenishment of macronutrient(s) can prevent the development of obvious symptoms and thus maintain the visual quality of Choy Sum. These newly created spectral indices hold the potential to provide non-destructive estimation of nutrient content in plants, offering a promising avenue for future advancements in precision agriculture and resource-efficient crop management. [ABSTRACT FROM AUTHOR]

The objective of this study was to investigate the impact of nutrient starvation on the growth, biochemical, metabolomic, and biological traits of Lavandula viridis L'Hér and Thymus lotocephalus G. López and R. Morales in vitro cultures. In both species, a reduction in shoot growth and in the production of chlorophyll and carotenoids was observed in cultures grown under nutrient-deficient media (especially Fe and N) compared to those grown under control conditions. The highest levels of hydrogen peroxide and lipid peroxidation, two indicators of oxidative stress, were observed in L. viridis cultures grown under N deficiency and in T. lotocephalus under P and Fe limitation. The results demonstrated that nutrient deficiency led to a 72% and 62% increase in the quantified phenolic compounds in L. viridis and T. lotocephalus, respectively. The highest concentrations of the major compound in both species—rosmarinic acid—were observed in cultures grown under Mg-deficient (60.7 ± 1.0 mg/gDW) and Fe-deficient (50.0 ± 0.4 mg/gDW) conditions in L. viridis and T. lotocephalus, respectively. Furthermore, nutrient starvation enhanced the capacity of green extracts to inhibit three enzymes (tyrosinase, elastase, and hyaluronidase) associated with anti-aging and their antioxidant properties. [ABSTRACT FROM AUTHOR]

ABSTRACT Providing nutrients in optimum quantities is essential for increasing the productivity of timber species. Despite this, we know little about the actual potassium (K) requirements of native Amazonian Forest species. This study aimed to determine the critical level of K deficiency and toxicity for the initial cultivation of cedar. We grew Cedrela fissilis seedlings in a nutrient solution under the effect of five concentrations of K (0, 1, 2, 5, and 8 mmol L-1) in a completely randomized design with five replications. After 30 days, we evaluated the relative growth rate, dry mass production, proline content, symptomatology, macro and micronutrient content and accumulation, and K absorption and utilization efficiencies. Concentrations of K positively influence the growth, accumulation, and content of nutrients in the dry mass of the aerial part of young cedar plants. Providing varying amounts of potassium significantly affects the nutritional and growth parameters of Cedrela fissilis seedlings. Potassium doses of 3.5 - 4.00 mmol L-1 in the growing substrate led to better nutritional status (26.08 - 27.28 g kg-1 of K) and plant growth.

Accumulation of K+ in shoots is largely dependent on K+ transport via the xylem and has important implications not only for K+ nutrition but also for stress tolerance. In tomato plants, the K+ channel SlSKOR contributed to K+ translocation but the decrease in the shoot K+ content in slskor mutants was only ∼15 %, indicating that additional K+ transport systems operated in the tomato stele. Here, we studied the physiological roles of the transporter SlNRT1.5 in tomato plants, whose homolog in Arabidopsis, AtNRT1.5, contributed to xylem K+ load. By using heterologous expression of SlNRT1.5 in Xenopus oocytes and a slnrt1.5 knock-out mutant, we have gained insights into its role in shoot K+ nutrition. Expression of SlNRT1.5 in Xenopus oocytes resulted in K+ efflux, similar to that mediated by AtNRT1.5, which could indicate that SlNRT1.5 operates as a K+ transport system. Plants lacking slnrt1.5 accumulated less K+ in shoots than WT plants under low external pH (4.5), and low supply of K+ (0.05 mM) and N (0.5 mM). Interestingly, slnrt1.5 plants accumulated less Na+ and Cl- in shoots than WT plants. Further analyses on slskor slnrt1.5 double mutant plants revealed an overlapping role of SlSKOR and SlNRT1.5 in shoot K+ accumulation. Double mutants showed a 40 % decrease in shoot K+ content in comparison with slskor and slnrt1.5 single mutants. Altogether, this study showed that SlNRT1.5 and SlSKOR are major players in shoot K+ accumulation in tomato plants.

Abstract It is essential to find environment-friendly agrochemicals to cope with the problems of nutrient imbalance, fruit quality decline, and physiological disorders during apple fruit production, which is beneficial for improving the quality and yield of apple. A natural extract from Paecilomyces variotii (ZNC), an endophytic fungus, has been used widely to enhance crop performance. However, an understanding of the mechanism underlying ZNC-triggered growth and alleviation of nutrient deficiency-associated symptoms in apples remains elusive. Here, the photosynthesis, leaf growth, and fruit quality were enhanced by adding ZNC. In addition, ZNC relieved nutrient deficiency-related symptoms promoted the differentiation of root morphology and vitality, and reduced the accumulation of osmoprotectants and reactive oxygen species, thereby promoting growth under normal and nutrient-deficient conditions. Finally, genome-wide RNA sequencing reveals the ZNC-regulated mechanisms involved in hormone and metal ion pathways. Our study reveals the role of ZNC in promoting growth and improving the quality of apple, providing a new direction for reducing the use of chemical fertilizers and pesticides.

Abstract Background Phosphorus (P) and iron (Fe) deficiencies are relevant plants nutritional disorders, prompting responses such as increased root exudation to aid nutrient uptake, albeit at an energy cost. Reacquiring and reusing exudates could represent an efficient energy and nitrogen saving strategy. Hence, we investigated the impact of plant development, Fe and P deficiencies on this process. Tomato seedlings were grown hydroponically for 3 weeks in Control, -Fe, and -P conditions and sampled twice a week. We used Isotope Ratio Mass-Spectrometry to measure δ13C in roots and shoots after a 2-h exposure to 13C-labeled glycine (0, 50, or 500 μmol L−1). Plant physiology was assessed with an InfraRed Gas Analyzer and ionome with an Inductively Coupled Plasma Mass-Spectrometry. Results Glycine uptake varied with concentration, suggesting an involvement of root transporters with different substrate affinities. The uptake decreased over time, with -Fe and -P showing significantly higher values as compared to the Control. This highlights its importance during germination and in nutrient-deficient plants. Translocation to shoots declined over time in -P and Control but increased in -Fe plants, suggesting a role of Gly in the Fe xylem transport. Conclusions Root exudates, i.e. glycine, acquisition and their subsequent shoot translocation depend on Fe and P deficiency. The present findings highlight the importance of this adaptation to nutrient deficiencies, that can potentially enhance plants fitness. A thorough comprehension of this trait holds potential significance for selecting cultivars that can better withstand abiotic stresses.

Abstract Background Previous researches examining the impact of dietary nutrition on mortality risk have mainly focused on individual nutrients, however the interaction of these nutrients has not been considered. The purpose of this study was to identify of nutrient deficiencies patterns and analyze their potential impact on mortality risk in older adults with hypertension. Methods We included participants from the National Health and Nutrition Examination Survey (NHANES) study. The latent class analysis (LCA) was applied to uncover specific malnutrition profiles within the sample. Risk of the end points across the phenogroups was compared using Kaplan–Meier analysis and Cox proportional hazard regression model. Multinomial logistic regression was used to determine the influencing factors of specific malnutrition profiles. Results A total of 6924 participants aged 60 years or older with hypertension from NHANES 2003–2014 was followed until December 31, 2019 with a median follow-up of 8.7 years. Various nutrients included vitamin A, vitamin B1, vitamin B12, vitamin C, vitamin D, vitamin E, vitamin K, fiber, folate, calcium, magnesium, zinc, copper, iron, and selenium, and LCA revealed 4 classes of malnutrition. Regarding all-cause mortality, “Nutrient Deprived” group showed the strongest hazard ratio (1.42 from 1.19 to 1.70) compared with “Adequate Nutrient” group, followed by “Inadequate Nutrient” group (1.29 from 1.10 to 1.50), and “Low Fiber, Magnesium, and Vit E” group (1.17 from 1.02 to 1.35). For cardiovascular mortality, “Nutrient Deprived” group showed the strongest hazard ratio (1.61 from 1.19 to 2.16) compared with “Adequate Nutrient” group, followed by “Low Fiber, Magnesium, and Vit E” group (1.51 from 1.04 to 2.20), and “Inadequate Nutrient” group (1.37 from 1.03 to 1.83). Conclusions The study revealed a significant association between nutrients deficiency patterns and the risk of all-cause and cardiovascular mortality in older adults with hypertension. The findings suggested that nutrients deficiency pattern may be an important risk factor for mortality in older adults with hypertension.

Purpose: Nutritional deficiencies in developed countries are a rare but potentially intervenable cause of optic neuropathy in pediatric populations. To date, much of the literature on nutritional optic neuropathy has focused on children with developmental delay, however, a growing body of evidence supports other underreported risk factors. Observations: We describe three pediatric patients with normal neurodevelopment, who presented with decreased vision and were subsequently found to have optic neuropathy attributed to vitamin deficiencies, predominantly vitamin B12. We review previous literature on nutritional optic neuropathy in pediatric patients, revealing that most published cases were associated with autism (17/25, 68 %). Conclusions and importance: An increasing number of cases, including our own, describe patients without autism who develop nutritional optic neuropathy due to restricted diets related to traumatic food-related events, multiple food allergies, or from an unknown cause. Altogether, our findings highlight the importance of a thorough diet and allergy review in pediatric patients with optic atrophy.

Worldwide, over half of all preschool-aged children and two-thirds of non-pregnant women of reproductive age suffer from hidden hunger. This situation may worsen due to the expected increase in the world population and the effects of climate change. The objective of this paper is to conduct a review of the relationship between soil, plants, and humans at the nutritional level, factors that affect the availability of nutrients, and sustainable strategies to reduce hidden hunger from an organic waste utilization point of view. Nutritional deficiency in people begins with nutrient-deficient soil, followed by crops that do not meet humans' nutritional needs. According to previous studies, most agricultural soils are deficient in nutrients; however, organic residues containing high concentrations of minerals are present in the non-edible parts that are discarded. New opportunities (based on the circular economy strategy) are opening up to take advantage of the nutrient pool of organic residues, such as the preparation of substrates (technosols) or amendments. Their incorporation into the soil may consider various circumstances to ensure the mineralization and bioavailability of nutrients for crops. Several agronomic practices and methods to monitor soil and crop nutrient depletion can be considered among the best strategies to mitigate and reduce hidden hunger through determining which foods and which parts should be ingested, and how to process them to ensure mineral bioavailability. [ABSTRACT FROM AUTHOR]

In Asia, rice is the most consumed grain by humans, serving as a staple food in India. The yield of rice paddies is easily affected by nutrient deficiencies and leaf diseases. To overcome this problem and improve the yield productivity of rice, nutrient deficiency and leaf disease identification are essential. The main nutrient elements in paddies are potassium, phosphorus, and nitrogen (PPN), the deficiency of any of which strongly affects the rice plants. When multiple nutrient elements are deficient, the leaf color of the rice plants is altered. To overcome this problem, optimal nutrient delivery is required. Hence, the present study proposes the use of Fuzzy C Means clustering (FCM) with Improved Tunicate Swarm Optimization (ITSO) to segment the lesions in rice plant leaves and identify the deficient nutrients. The proposed ITSO integrates the Tunicate Swarm Optimization (TSO) and Bacterial Foraging Optimization (BFO) approaches. The Hybrid Convolutional Neural Network (HCNN), a deep learning model, is used with ITSO to classify the rice leaf diseases, as well as nutrient deficiencies in the leaves. Two datasets, namely, a field work dataset and a Kaggle dataset, were used for the present study. The proposed HCNN-ITSO classified Bacterial Leaf Bright (BLB), Narrow Brown Leaf Spot (NBLS), Sheath Rot (SR), Brown Spot (BS), and Leaf Smut (LS) in the field work dataset. Furthermore, the potassium-, phosphorus-, and nitrogen-deficiency-presenting leaves were classified using the proposed HCNN-ITSO in the Kaggle dataset. The MATLAB platform was used for experimental analysis in the field work and Kaggle datasets in terms of various performance measures. When compared to previous methods, the proposed method achieved the best accuracies of 98.8% and 99.01% in the field work and Kaggle datasets, respectively. [ABSTRACT FROM AUTHOR]

Nutrient deficiencies are one of the main causes of significant reductions in commercial crop production by affecting associated growth factors. Proper plant nutrition is crucial for crop quality and yield therefore, early and objective detection of nutrient deficiency is required. Recent literature has explored the real-time monitoring of plant electrical signal, called electrophysiology, applied on tomato crop cultivated in greenhouse. This sensor allows to identify the stressed state of a plant in the presence of different biotic and abiotic stressors by employing machine learning techniques. The aim of this study was to evaluate the potential of electrophysiology signal recordings acquired from tomato plants growing in a production greenhouse environment, to detect the stress of a plant triggered by the deficiency of several main nutrients. Based on a previously proposed workflow consisting of continuous acquisition of electrical signal then application of machine learning techniques, the minimum signal features was evaluated. This study presents classification models that are able to distinguish the plant's stressed state with good accuracy, namely 78.5% for manganese, 78.1% for iron, 89.6% for nitrogen, and 78.1% for calcium deficiency, and therefore suggests a novel path to detect nutrient deficiencies at an early stage. This could constitute a novel practical tool to help and assist farmers in nutrition management. [ABSTRACT FROM AUTHOR]

The health monitoring of vegetable and fruit plants, especially during the critical seedling growth stage, is essential to protect them from various environmental stresses and prevent yield loss. Different environmental stresses may cause similar symptoms, making visual inspection alone unreliable and potentially leading to an incorrect diagnosis and delayed corrective actions. This study aimed to address these challenges by proposing a segmented regression model and a Mask R-CNN model for detecting the initiation time and symptoms of nutrient stress in cucumber seedlings within a controlled environment. Nutrient stress was induced by applying two different treatments: an indicative nutrient deficiency with an electrical conductivity (EC) of 0 dSm−1, and excess nutrients with a high-concentration nutrient solution and an EC of 6 dSm−1. Images of the seedlings were collected using an automatic image acquisition system two weeks after germination. The early initiation of nutrient stress was detected using a segmented regression analysis, which analyzed morphological and textural features extracted from the images. For the Mask R-CNN model, 800 seedling images were annotated based on the segmented regression analysis results. Nutrient-stressed seedlings were identified from the initiation day to 4.2 days after treatment application. The Mask R-CNN model, implemented using ResNet-101 for feature extraction, leveraged transfer learning to train the network with a smaller dataset, thereby reducing the processing time. This study identifies the top projected canopy area (TPCA), energy, entropy, and homogeneity as prospective indicators of nutritional deficits in cucumber seedlings. The results from the Mask R-CNN model are promising, with the best-fit image achieving an F1 score of 93.4%, a precision of 93%, and a recall of 94%. These findings demonstrate the effectiveness of the integrated statistical and machine learning (ML) methods for the early and accurate diagnosis of nutrient stress. The use of segmented regression for initial detection, followed by the Mask R-CNN for precise identification, emphasizes the potential of this approach to enhance agricultural practices. By facilitating the early detection and accurate diagnosis of nutrient stress, this approach allows for quicker and more precise treatments, which improve crop health and productivity. Future research could expand this methodology to other crop types and field conditions to enhance image processing techniques, and researchers may also integrate real-time monitoring systems. [ABSTRACT FROM AUTHOR]

Human nutrient deficiencies remain prevalent globally and are particularly common in low- and middle-income countries, such as Kenya. Fish holds potential to help address these deficiencies but remains barely incorporated in nutrition policies and strategies, partly due to a lack of supporting evidence. We address this gap by analyzing sixteen years of fisheries production and trade data from marine, freshwater, and aquaculture systems to evaluate fish nutrient supply, assess changes in supply, and determine the contributions the current supply could make to meet the nutritional needs of children under five years in Kenya. Despite an 11% increase, through time, in the total supply of fish, there was a 24% decline in per capita fish consumption due to fishery changes and increased fish demand. Furthermore, a 21% decline in supply of fish from inland freshwater systems resulted in a 25–40% decline in nutrient supply. Based on the current supply of fish, Kenya's per capita consumption of 2.5 kg/yr is below WHO recommendations of 10.4 kg/yr. However, this supply has the potential to support nearly 13 million Kenyans at this WHO recommendation. If supply was targeted towards vulnerable groups, such as children under five years, it could supply all children in Kenya with one-third of their calcium, selenium, and protein and over 70% of children in Kenya with one-third of their iron, zinc, and omega-3 polyunsaturated fatty acids requirements. Therefore, fish can play an important role in supporting nutritional security in Kenya if strategic interventions involving all relevant sectors are considered, to reduce identified nutrient deficiencies. [ABSTRACT FROM AUTHOR]

The compositional nutrient diagnosis (CND) method considers the multiple relationships among nutrients and has been proposed to evaluate the nutritional status of plants in place of the univariate and bivariate methods. As it is mathematically based and considers the interactions among all nutrients at the same time, it avoids the errors and trends observed in the calculations of other methods estimating nutritional status, enabling a greater relationship with productivity. The objective of this study was to obtain the CND norms for high-yielding populations of potato crops. For this, 587 samples were used from 21 experimental areas in the state of São Paulo, Brazil to correlate the leaf nutrient contents and the yields of potato crops. Crops with yields higher than 48,993.24 kg ha−1 were considered to have high yields, and the Mahalanobis distance separated the balanced samples from the nutritionally unbalanced ones. Thus, the CND-ilr method generated the norms and classified the 587 samples as nutritionally balanced with a high yield (5% of the total), nutritionally unbalanced with a low yield (92%), nutritionally unbalanced with a high yield (0.3%), or nutritionally balanced with a low yield (2.7%), with accuracy, sensitivity, specificity, NPV, and PPV scores of 96.9, 97.1, 93.6, 64.4, and 99.6%, respectively. [ABSTRACT FROM AUTHOR]

There is a research gap in understanding the relationship between nutrient deficiency and food insecurity among adolescent girls in Afghanistan. The objective of this study was to investigate the associations between nutrient deficiencies and food insecurity among middle and high school‐aged girls in Kabul. We conducted a cross‐sectional study of 380 randomly selected 11–18‐year‐old girls attending public schools in grades 6–12. We assessed girls' food insecurity, food and nutrient intake, socioeconomic status, and physical activity. Nutrient consumption was calculated using Nutritionist IV software. Statistical analyses, including one‐way analysis of variance, Chi‐square tests, and t‐tests, were used to assess the association between dietary intake and food insecurity. More than half (52.9%) of the participants were food insecure, with 35.8% experiencing hunger and 17.1% without hunger. Vitamin B3, C, selenium, and iron had the highest sensitivity, specificity, and accuracy and were the best indicators of food insecurity with and without hunger. The most prevalent nutrient deficiencies were vitamin B9 and E, calcium, magnesium, and zinc inadequacies. Food security was positively associated with fruit, vitamins E and K, dairy products (e.g., milk, yogurt, and cheese), meat products (e.g., chicken, meat, red meat, and egg), and nut intake. Our findings suggest that adolescent girls in Kabul may benefit from food programs that enrich nutrients such as B9 and E, calcium, magnesium, and zinc, which were found to be the most prevalent nutrient deficiencies. These findings highlight the importance of addressing food insecurity and nutrient deficiencies among adolescent girls in Afghanistan. [ABSTRACT FROM AUTHOR]

Nutrient deficiencies in the plant can significantly reduce agricultural productivity. A sufficient ratio of nutrient elements like nitrogen (N), phosphorus (P), and potassium (K) is essential for plant growth. Deficiencies in these elements lead to a significant decline in crop yield. The primary objective of this work is to identify the nutrient deficiency in the leaf images and determine how severe the nutrient deficiency is in the plant. We have enhanced the VGG16 transfer learning model and integrated it with another proposed nutrient severity identification module. The proposed VGG16 model is trained with a groundnut dataset and classified the images as N, P, and K deficient. Predicting yield loss in the crop based on nutrition deficiency is the secondary objective of this work. To identify deficiencies, we have used two different datasets: rice plant and groundnut images. The proposed methodology classifies the plant leaf images into N, P, and K classes of deficiencies. Based on this information, crop yield loss due to each nutrient deficiency is estimated. The proposed enhanced (VGG16) classification accuracy is 98% on the groundnut dataset (i.e., our dataset collected from the field). The performances were compared with the existing state-of-the-art models, which found that the proposed model performs better than the current models trained on the same datasets. [ABSTRACT FROM AUTHOR]

A high prevalence of iron deficiency exists in athlete populations. Various mechanisms, including increased losses through sweat, haemolysis, haematuria, and gastrointestinal micro-ischemia; inadequate dietary intake; and transient exercise-induced increases in the regulatory hormone, hepcidin, contribute to the increased prevalence in athletes. Indeed, hepcidin has been shown to peak around 3–6 hours post-exercise, limiting iron absorption from the gut. As the practitioner's ability to control losses is limited, the key to treatment of iron deficiency in athletes is optimal timing of dietary and oral iron supplementation around these periods of reduced gut absorption. While timing and dosing schedule strategies might be sufficient to treat iron deficiency non-anaemia, the significant lag to impact iron status is relatively long. Therefore, in iron deficiency anaemia, the use of parenteral iron has the benefit of rapid repletion of iron stores and normalisation of haemoglobin status, while bypassing the action of hepcidin at the gut. Furthermore, newer intravenous formulations can be administered as a single total dose over 15–60 min and have a similar safety profile to oral treatment. This review discusses the existing evidence for parenteral iron use in athletes and the unique context for consideration when choosing the parenteral route in this population. [ABSTRACT FROM AUTHOR]

Background: Previous researches examining the impact of dietary nutrition on mortality risk have mainly focused on individual nutrients, however the interaction of these nutrients has not been considered. The purpose of this study was to identify of nutrient deficiencies patterns and analyze their potential impact on mortality risk in older adults with hypertension. Methods: We included participants from the National Health and Nutrition Examination Survey (NHANES) study. The latent class analysis (LCA) was applied to uncover specific malnutrition profiles within the sample. Risk of the end points across the phenogroups was compared using Kaplan–Meier analysis and Cox proportional hazard regression model. Multinomial logistic regression was used to determine the influencing factors of specific malnutrition profiles. Results: A total of 6924 participants aged 60 years or older with hypertension from NHANES 2003–2014 was followed until December 31, 2019 with a median follow-up of 8.7 years. Various nutrients included vitamin A, vitamin B1, vitamin B12, vitamin C, vitamin D, vitamin E, vitamin K, fiber, folate, calcium, magnesium, zinc, copper, iron, and selenium, and LCA revealed 4 classes of malnutrition. Regarding all-cause mortality, "Nutrient Deprived" group showed the strongest hazard ratio (1.42 from 1.19 to 1.70) compared with "Adequate Nutrient" group, followed by "Inadequate Nutrient" group (1.29 from 1.10 to 1.50), and "Low Fiber, Magnesium, and Vit E" group (1.17 from 1.02 to 1.35). For cardiovascular mortality, "Nutrient Deprived" group showed the strongest hazard ratio (1.61 from 1.19 to 2.16) compared with "Adequate Nutrient" group, followed by "Low Fiber, Magnesium, and Vit E" group (1.51 from 1.04 to 2.20), and "Inadequate Nutrient" group (1.37 from 1.03 to 1.83). Conclusions: The study revealed a significant association between nutrients deficiency patterns and the risk of all-cause and cardiovascular mortality in older adults with hypertension. The findings suggested that nutrients deficiency pattern may be an important risk factor for mortality in older adults with hypertension. [ABSTRACT FROM AUTHOR]

Background: Phosphorus (P) and iron (Fe) deficiencies are relevant plants nutritional disorders, prompting responses such as increased root exudation to aid nutrient uptake, albeit at an energy cost. Reacquiring and reusing exudates could represent an efficient energy and nitrogen saving strategy. Hence, we investigated the impact of plant development, Fe and P deficiencies on this process. Tomato seedlings were grown hydroponically for 3 weeks in Control, -Fe, and -P conditions and sampled twice a week. We used Isotope Ratio Mass-Spectrometry to measure δ13C in roots and shoots after a 2-h exposure to 13C-labeled glycine (0, 50, or 500 μmol L−1). Plant physiology was assessed with an InfraRed Gas Analyzer and ionome with an Inductively Coupled Plasma Mass-Spectrometry. Results: Glycine uptake varied with concentration, suggesting an involvement of root transporters with different substrate affinities. The uptake decreased over time, with -Fe and -P showing significantly higher values as compared to the Control. This highlights its importance during germination and in nutrient-deficient plants. Translocation to shoots declined over time in -P and Control but increased in -Fe plants, suggesting a role of Gly in the Fe xylem transport. Conclusions: Root exudates, i.e. glycine, acquisition and their subsequent shoot translocation depend on Fe and P deficiency. The present findings highlight the importance of this adaptation to nutrient deficiencies, that can potentially enhance plants fitness. A thorough comprehension of this trait holds potential significance for selecting cultivars that can better withstand abiotic stresses. [ABSTRACT FROM AUTHOR]

Plants from invasive populations often have higher growth rates than conspecifics from native populations due to better environmental adaptability. However, the roles of improved chlorophyll fluorescence or antioxidant defenses in helping them to grow better under adverse situations are insufficient, even though this is a key physiological question for elucidating mechanisms of plant invasion. Here, we conducted experiments with eight native (China) and eight introduced (USA) populations of Chinese tallow tree (Triadica sebifera). We tested how salinity, nutrients (overall amount or N:P in two separate experiments) and their interaction affected T. sebifera aboveground biomass, leaf area, chlorophyll fluorescence and antioxidant defenses. Plants from introduced populations were larger than those from native populations, but salinity and nutrient shortage (low nutrients or high N:P) reduced this advantage, possibly reflecting differences in chlorophyll fluorescence based on their higher PSII maximum photochemical efficiency (F v/ F m) and PSI maximum photo-oxidizable P700 in higher nutrient conditions. Native population plants had lower F v/ F m with saline. Except in high nutrients/N:P with salinity, introduced population plants had lower electron transfer rate and photochemical quantum yield. There were no differences in antioxidant defenses between introduced and native populations except accumulation of hydrogen peroxide (H2O2), which was lower for introduced populations. Low nutrients and higher N:P or salinity increased total antioxidant capacity and H2O2. Our results indicate that nutrients and salinity induce differences in H2O2 contents and chlorophyll fluorescence characteristics between introduced and native populations of an invasive plant, illuminating adaptive mechanisms using photosynthetic physiological descriptors in order to predict invasions. [ABSTRACT FROM AUTHOR]

Main conclusion: Silicon application mitigates phosphate deficiency in barley through an interplay with auxin and nitric oxide, enhancing growth, photosynthesis, and redox balance, highlighting the potential of silicon as a fertilizer for overcoming nutritional stresses. Silicon (Si) is reported to attenuate nutritional stresses in plants, but studies on the effect of Si application to plants grown under phosphate (Pi) deficiency are still very scarce, especially in barley. Therefore, the present work was undertaken to investigate the potential role of Si in mitigating the adverse impacts of Pi deficiency in barley Hordeum vulgare L. (var. BH902). Further, the involvement of two key regulatory signaling molecules––auxin and nitric oxide (NO)––in Si-induced tolerance against Pi deficiency in barley was tested. Morphological attributes, photosynthetic parameters, oxidative stress markers (O2·−, H2O2, and MDA), antioxidant system (enzymatic––APX, CAT, SOD, GR, DHAR, MDHAR as well as non-enzymatic––AsA and GSH), NO content, and proline metabolism were the key traits that were assessed under different treatments. The P deficiency distinctly declined growth of barley seedlings, which was due to enhancement in oxidative stress leading to inhibition of photosynthesis. These results were also in parallel with an enhancement in antioxidant activity, particularly SOD and CAT, and endogenous proline level and its biosynthetic enzyme (P5CS). The addition of Si exhibited beneficial effects on barley plants grown in Pi-deficient medium as reflected in increased growth, photosynthetic activity, and redox balance through the regulation of antioxidant machinery particularly ascorbate–glutathione cycle. We noticed that auxin and NO were also found to be independently participating in Si-mediated improvement of growth and other parameters in barley roots under Pi deficiency. Data of gene expression analysis for PHOSPHATE TRANSPORTER1 (HvPHT1) indicate that Si helps in increasing Pi uptake as per the need of Pi-deficient barley seedlings, and also auxin and NO both appear to help Si in accomplishing this task probably by inducing lateral root formation. These results are suggestive of possible application of Si as a fertilizer to correct the negative effects of nutritional stresses in plants. Further research at genetic level to understand Si-induced mechanisms for mitigating Pi deficiency can be helpful in the development of new varieties with improved tolerance against Pi deficiency, especially for cultivation in areas with Pi-deficient soils. [ABSTRACT FROM AUTHOR]

The district Toba Tek Singh is located in the center of Punjab province. It occupies 2nd important position in national citrus production after Sargodha, with citrus orchard area of 11412 hectares and annual production of 160758 tons. Citrus productivity in Pakistan, in general, and Toba Tek Singh, in particular, is far below its its potential which could be attributed to several factors but poor soil health and inadequate soil fertility may be considered an important reason. A comprehensive nutrient indexing survey of thirty citrus orchards grown in different parts of district Toba Tek Singh was conducted to evaluate the soil characteristics and plant nutrient status. GPS coordinates of selected sites were recorded prior to sampling. Soil samples were coll ected at 0-20 cm, 21-40 cm and 41-60 cm depth using standard procedure. Five soil samples were collected from each site to get a composite sample for each depth. The leaf samples were collected from the 7-month-old non-fruiting branches of plants around the tree canopy during the month of September, 2022. Five healthy and uniform citrus trees were sampled from each site to get a composite leaf sample. The soil samples were analyzed for pH, electrical conductivity (EC), soil organic matter (SOM) and calcium carbonate (CaCO3). The soil and leaf samples were analyzed for macro and micronutrients. It was found that most of orchard soils of district Toba Tek Singh were moderately alkaline (pH 7.52-8.90), slight to strong calcareous (2-15% CaCO3), non-saline (0.77-3.0 dS m-1 EC) and low in SOM (0.23-1.49%) with low to medium nitrogen (0.01-0.06%) and phosphorus (0.58-10.52 mg kg-1) while medium to high potassium (56.47-315.34 mg kg-1). The sampled soils were low to marginal in boron (0.09-0.72 mg kg-1), copper (0.05-0.59 mg kg-1), iron (0.23-10.75 mg kg-1) and zinc (0.03-1.83 mg kg-1) while adequate in manganese (1.35-26.20 mg kg-1). Leaf analysis revealed that almost 50% orchards were deficient in phosphorus (0.05-0.23%) and potassium (0.40-1.76%), while having low to marginal values of copper (1.96-20.99 mg kg-1), zinc (4.13-31.96 mg kg-1), boron (3.12-95.40 mg kg-1), manganese (42.62- 96.46 mg kg-1) but adequate iron (171-552 mg kg-1). The surveyed orchard soils were mostly alkaline calcareous, deficient in organic matter and having low to moderate macro and micronutrients. [ABSTRACT FROM AUTHOR]