Because phosphorus (P) is one of the most limiting nutrients in agricultural systems, P fertilisation is essential to feed the world. However, declining P reserves demand far more effective use of this crucial resource. Here, we use meta-analysis to synthesize yield responses to P fertilisation in grasslands, the most common type of agricultural land, to identify under which conditions P fertilisation is most effective. Yield responses to P fertilisation were 40-100% higher in (a) tropical vs temperate regions; (b) grass/legume mixtures vs grass monocultures; and (c) soil pH of 5-6 vs other pHs. The agronomic efficiency of P fertilisation decreased for greater P application rates. Moreover, soils with low P availability reacted disproportionately strong to fertilisation. Hence, low fertiliser application rates to P-deficient soils result in stronger absolute yield benefits than high rates applied to soils with a higher P status. Overall, our results suggest that optimising P fertiliser use is key to sustainable intensification of agricultural systems.
Traditional microneedle (MN) technology offers unique advantages in treating wound infections; however, its single-function design lacks the capability for real-time monitoring of wound conditions, often resulting in uncontrolled drug release. Herein, an anti-infective and intelligent MN patch (SP-CSMN) integrating three functional modules is developed, including temperature monitoring, Bluetooth wireless communication, and responsive drug release. The patch employed chitosan (CS) as a porous substrate, filled with temperature-sensitive poly(N-isopropylacrylamide) (PNIPAM) to encapsulate and release the antibiotic rifampicin.
Background: Genetic markers are crucial for breeding crops with desired agronomic traits, and their development can be expedited using next-generation sequencing (NGS) and bioinformatics tools. Numerous tools have been developed to design molecular markers, enhancing the convenience, accuracy, and efficiency of molecular breeding. However, these tools primarily focus on genetic variants within short user-input sequences, despite the availability of extensive omics data for genomic variants.
Sweetpotato (Ipomoea batatas L.), an important food and industrial crop in the world, has a highly heterozygous hexaploid genome, making the development of single nucleotide polymorphism (SNP) markers challenging. Identifying SNP loci and developing practical SNP markers are crucial for genomic and genetic research on sweetpotato.
Introduction: Breast cancer, a formidable global health challenge for women, necessitates innovative therapeutic strategies with enhanced efficacy and minimal side effects. Aripiprazole (ARI), a widely used schizophrenia medication, exhibits promising potential in the treatment of breast cancer. As cancer therapy evolves towards a combination approach, multimodal nano-based delivery systems, such as ARI-loaded niosomes (NIOs) combined with Chitosan-Au nanoparticles for chemo-photothermal therapy, show promise over traditional chemotherapy alone by enhancing targeted efficacy and minimizing side effects.
Continuous, Accurate, and detailed information on main grain land (MGL) areas is crucial for provisioning food security and making policies affecting sustainable agricultural production. It still lacks a long-term MGL distribution dataset with fine spatial resolution. This study aimed to produce a long-term, high-resolution MGL distribution map for China.
