The United Nations (UN) emphasizes the pivotal role of sustainable agriculture in addressing persistent starvation and working towards zero hunger by 2030 through global development. Intensive agricultural practices have adversely impacted soil quality, necessitating soil nutrient analysis for enhancing farm productivity and environmental sustainability. Researchers increasingly turn to Artificial Intelligence (AI) techniques to improve crop yield estimation and optimize soil nutrition management. This study reviews 155 papers published from 2014 to 2024, assessing the use of machine learning (ML) and deep learning (DL) in predicting soil nutrients. It highlights the potential of hyperspectral and multispectral sensors, which enable precise nutrient identification through spectral analysis across multiple bands. The study underscores the importance of feature selection techniques to improve model performance by eliminating redundant spectral bands with weak correlations to targeted nutrients. Additionally, the use of spectral indices, derived from mathematical ratios of spectral bands based on absorption spectra, is examined for its effectiveness in accurately predicting soil nutrient levels. By evaluating various performance measures and datasets related to soil nutrient prediction, this paper offers comprehensive insights into the applicability of AI techniques in optimizing soil nutrition management. The insights gained from this review can inform future research and policy decisions to achieve global development goals and promote environmental sustainability.

Population-level variation and mechanisms behind insulin secretion in response to carbohydrate, protein, and fat remain uncharacterized. We defined prototypical insulin secretion responses to three macronutrients in islets from 140 cadaveric donors, including those with type 2 diabetes. The majority of donors\' islets exhibited the highest insulin response to glucose, moderate response to amino acid, and minimal response to fatty acid. However, 9% of donors\' islets had amino acid responses, and 8% had fatty acid responses that were larger than their glucose-stimulated insulin responses. We leveraged this heterogeneity and used multi-omics to identify molecular correlates of nutrient responsiveness, as well as proteins and mRNAs altered in type 2 diabetes. We also examined nutrient-stimulated insulin release from stem cell-derived islets and observed responsiveness to fat but not carbohydrate or protein-potentially a hallmark of immaturity. Understanding the diversity of insulin responses to carbohydrate, protein, and fat lays the groundwork for personalized nutrition.

Endocytosis represents a category of regulated active transport mechanisms. These encompass clathrin-dependent and -independent mechanisms, as well as fluid phase micropinocytosis and macropinocytosis, each demonstrating varying degrees of specificity and capacity. Collectively, these mechanisms facilitate the internalization of cargo into cellular vesicles. Pregnancy is one such physiological state during which endocytosis may play critical roles. A successful pregnancy necessitates ongoing communication between maternal and fetal cells at the maternal-fetal interface to ensure immunologic tolerance for the semi-allogenic fetus whilst providing adequate protection against infection from pathogens, such as viruses and bacteria. It also requires transport of nutrients across the maternal-fetal interface, but restriction of potentially harmful chemicals and drugs to allow fetal development. In this context, trogocytosis, a specific form of endocytosis, plays a crucial role in immunological tolerance and infection prevention. Endocytosis is also thought to play a significant role in nutrient and toxin handling at the maternal-fetal interface, though its mechanisms remain less understood. A comprehensive understanding of endocytosis and its mechanisms not only enhances our knowledge of maternal-fetal interactions but is also essential for identifying the pathogenesis of pregnancy pathologies and providing new avenues for therapeutic intervention.

Soil salinity is a major nutritional challenge with poor agriculture production characterized by high sodium (Na+) ions in the soil. Zinc oxide nanoparticles (ZnO NPs) and biochar have received attention as a sustainable strategy to reduce biotic and abiotic stress. However, there is a lack of information regarding the incorporation of ZnO NPs with biochar to ameliorate the salinity stress (0, 50,100 mM). Therefore, the current study aimed to investigate the potentials of ZnO NPs application (priming and foliar) alone and with a combination of biochar on the growth and nutrient availability of spinach plants under salinity stress. Results demonstrated that salinity stress at a higher rate (100 mM) showed maximum growth retardation by inducing oxidative stress, resulted in reduced photosynthetic rate and nutrient availability. ZnO NPs (priming and foliar) alone enhanced growth, chlorophyll contents and gas exchange parameters by improving the antioxidant enzymes activity of spinach under salinity stress. While, a significant and more pronounced effect was observed at combined treatments of ZnO NPs with biochar amendment. More importantly, ZnO NPs foliar application with biochar significantly reduced the Na+ contents in root 57.69%, and leaves 61.27% of spinach as compared to the respective control. Furthermore, higher nutrient contents were also found at the combined treatment of ZnO NPs foliar application with biochar. Overall, ZnO NPs combined application with biochar proved to be an efficient and sustainable strategy to alleviate salinity stress and improve crop nutritional quality under salinity stress. We inferred that ZnO NPs foliar application with a combination of biochar is more effectual in improving crop nutritional status and salinity mitigation than priming treatments with a combination of biochar.

Metal materials undergo severe corrosion in eutrophic environments. The effect of DO decay stimulated by high concentrations of nitrogen and phosphorus pollutants on microorganisms leads to the coupling of electrochemical and microbial corrosion processes. However, there are few studies on microbial corrosion mechanisms in eutrophic environments. This article discusses the corrosive factors of marine eutrophication, summarizes the impact of marine eutrophication on microbial corrosion and the potential mechanisms, including aerobic biofilm corrosion, aerobic & anaerobic mixed biofilm corrosion, and anaerobic microbial electron transfer corrosion, and expounds on the research methods for microbial corrosion of materials serving in estuarine areas prone to pollution. Microbial prevention and control, such as nutrient restriction and microbial interspecies competition, are of research value in the field of green protection. Microbial corrosion mechanisms studies in marine eutrophication environments are significant for environment monitor development, water intake and algae control technologies, and corrosion protection in polluted environments.

Limited evidence has suggested a relationship between phthalate exposure and biological aging. This study investigated the association between phthalate exposure and biological aging, focusing on the mediating role of inflammation and the interaction with dietary nutrient intake. Data were analyzed from a nationwide cross-sectional survey comprising 12,994 participants aged 18 and above. Eight phthalate metabolites were detected in spot urine samples. Biological aging was assessed using the Klemera-Doubal method-biological age (KDM-BA) acceleration, phenotypic age (PA) acceleration, and homeostatic dysregulation (HD). The systemic immune-inflammation index (SII) evaluated systemic inflammation. The individual and combined associations between phthalate exposure and biological aging were assessed using linear regression, weighted quantile sum (WQS) regression, and quantile g-computation (qgcomp). The participants had a mean age of 47 years, with 50.7 % male and 44.8 % non-Hispanic white. Most phthalate metabolites were positively correlated with KDM-BA acceleration (β = 0.306-0.584), PA acceleration (β = 0.081-0.281), and HD (β = 0.016-0.026). Subgroup analysis indicated that men, older individuals, and non-Hispanic whites are particularly sensitive populations. WQS regression and qgcomp analyses consistently indicated a positive association between mixed phthalate exposure and HD, highlighting MEHHP as the most significant contributing metabolite. Mediation analyses showed inflammation partially mediated the association between phthalate metabolites and biological aging. Significant interactions regarding biological aging were found between specific phthalate metabolites and dietary nutrients (carotenoids, vitamins A, B1, B2, B6, B12, niacin, and selenium) intake. These findings indicated that the association between phthalate exposure and biological aging was mediated by inflammation, with nutrient intake mitigating this effect.

CONCLUSIONS: Overexpressing the copper transporter LbCOPT1 leads to a notable increase in the abundance of mycorrhizal arbuscules that suggests the potential application of LbCOPT1 in breeding programs aimed at enhancing symbiotic nutrient uptake in Lycium barbarum L.

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Honey bees are important insect pollinators that provide critical pollination services to fruit and nut crops in the US. They face challenges likely due to pressures associated with agricultural intensification related habitat loss. To better understand this, pollen preferences of foraging bees and the nutritional profile of pollen brought into hives by foraging bees in crop fields and nut orchards can provide valuable information. We trained bees to forage on bee-collected pollen from hives placed for pollination services in almond orchards, sunflower fields, or mixed species from inter-row plantings. Using bees trained to a certain kind of hive pollen, we applied a binary scoring system, to test preferences of these preconditioned foragers. We also performed metabolomic analyses of the hive pollen used for training and testing to elucidate their nutritional content. Irrespective of preconditioning, bees collected all the available choice pollen types, predominantly choosing hive-collected mixed species pollen (MSP), followed by almond orchard pollen. The hive-collected MSP was chemically diverse, richest in cholesterol, vitamins, and phytochemicals quercetin, kaempferol, coumarin, and quinine, but was not consistently high for essential amino acids and polyunsaturated fatty acids. Although diversity in chemical profiles may not directly relate to plant species diversity, our results suggest that foragers collect a variety of pollen types when available reiterating the importance of diverse floral resources.

This study aimed to evaluate the effect of varying levels of sorghum-based diets as an alternative to maize in broiler nutrition. A total of 320 one-day-old male Ross 708 broiler chickens were randomly allocated to four treatment groups (5 pens per treatment and 16 birds per pen), comprising a control group with a basal diet and groups receiving sorghum-based diets with 20%, 40%, and 100% maize replacement. The overall weight gain was significantly (p < 0.0001) higher in the control group, followed by 20%, 40%, and 100% sorghum replacement. Additionally, overall feed intake was significantly (p < 0.01) higher in the 20% sorghum replacement group compared to the control and other groups. Broilers fed sorghum-based diets exhibited a significantly (p < 0.01) increased feed conversion ratio. Carcass characteristics showed no significant differences between broilers fed corn and sorghum; however, the digestibility of crude protein and apparent metabolizable energy significantly (p < 0.01) increased in the 20% sorghum-corn replacement compared to the 40% and 100% replacement levels. Ileal villus height and width did not differ among the corn-sorghum-based diets, regardless of the replacement percentage. Furthermore, among the cecal microbiota, Lactobacillus count was significantly (p < 0.041) higher in the 20% corn-sorghum diet compared to the 40% and 100% replacement levels. These findings suggest that replacing corn up to 20% of corn with sorghum in broiler diet positively impact growth performance, gut health, nutrient digestibility, and cecal microbiota in broilers. However, larger replacements (40% and 100%) may have negative implications for broiler production and health.