Genome-wide association study and molecular marker development for resistance to soybean cyst nematode in soybean.

Soybean (Glycine max) is a major crop for grain and oil production worldwide. However, soybean cyst nematode (SCN) disease is a serious threat to soybean cultivation, causing major challenges for agriculture in China and globally. In this study, 306 soybean germplasms were evaluated for resistance to SCN HG type 0 using the female index (FI), a metric quantifying nematode reproduction on soybean roots.

Exploiting multiscale dynamic toughening in multicomponent alloy metamaterials for extreme impact mitigation.

Mechanical metamaterials can unlock extreme properties by leveraging lightweight structural design principles and unique deformation mechanisms. However, research has predominantly focused on their quasi-static characteristics, leaving their behavior under extreme dynamic conditions, especially at length scales relevant to practical applications largely unexplored. Here, we present a strategy to achieve extreme impact mitigation at the macroscale by combining shell-based microarchitecture with an additively manufactured medium-entropy alloy (MEA) featuring low stacking fault energy (SFE).

Oxide-dispersion-enabled laser additive manufacturing of high-resolution copper.

Laser additive manufacturing of pure copper (Cu) with complex geometries opens vast opportunities for the development of functional devices in microelectronics and telecommunication. However, laser additive manufacturing of high-resolution pure Cu remains a challenge. Here we report a facile oxide-dispersion-strengthening (ODS) strategy that enables additive manufacturing of Cu with sub-100 μm (~70 μm) resolution by laser powder-bed fusion.

Multi-Physical Lattice Metamaterials Enabled by Additive Manufacturing: Design Principles, Interaction Mechanisms, and Multifunctional Applications.

Lattice metamaterials emerge as advanced architected materials with superior physical properties and significant potential for lightweight applications. Recent developments in additive manufacturing (AM) techniques facilitate the manufacturing of lattice metamaterials with intricate microarchitectures and promote their applications in multi-physical scenarios. Previous reviews on lattice metamaterials have largely focused on a specific/single physical field, with limited discussion on their multi-physical properties, interaction mechanisms, and multifunctional applications.

Multi-omics analysis identified the GmUGT88A1 gene, which coordinately regulates soybean resistance to cyst nematode and isoflavone content.

Soybean cyst nematode (SCN, Heterodera glycines) is a major pathogen harmful to soybean all over the world, causing huge yield loss every year. Soybean resistance to SCN is a complex quantitative trait controlled by a small number of major genes (rhg1 and Rhg4) and multiple micro-effect genes. Therefore, the continuous identification of new resistant lines and genes is needed for the sustainable development of global soybean production.

Influence of Heat Treatment on the Microstructure and Mechanical Properties of Pure Copper Components Fabricated via Micro-Laser Powder Bed Fusion.

Pure copper (Cu) is widely used across numerous industries owing to its exceptional thermal and electrical conductivity. Additive manufacturing has facilitated the rapid and cost-effective prototyping of Cu components. Laser powder bed fusion (LPBF) has demonstrated the capability to produce intricate Cu components.

Genome-Wide Association Study and Marker Development for Root Rot Resistance in Soybean.

root rot (FORR) is an important disease threatening soybean production. The development of marker-assisted selection (MAS) molecular markers will help accelerate the disease resistance breeding process and achieve the breeding goal of improving soybean disease resistance. This study evaluated the FORR disease resistance of 356 soybean germplasm accessions (SGAs) and screened resistance-related loci using genome-wide association analysis (GWAS) to develop molecular markers for MAS.

Imperfection-Enabled Strengthening of Ultra-Lightweight Lattice Materials.

Lattice materials are an emerging family of advanced engineering materials with unique advantages for lightweight applications. However, the mechanical behaviors of lattice materials at ultra-low relative densities are still not well understood, and this severely limits their lightweighting potential. Here, a high-precision micro-laser powder bed fusion technique is dveloped that enables the fabrication of metallic lattices with a relative density range much wider than existing studies.

Superelastic NiTi Functional Components by High-Precision Laser Powder Bed Fusion Process: The Critical Roles of Energy Density and Minimal Feature Size.

Additive manufacturing (AM) was recently developed for building intricate devices in many fields. Especially for laser powder bed fusion (LPBF), its high-precision manufacturing capability and adjustable process parameters are involved in tailoring the performance of functional components. NiTi is well-known as smart material utilized widely in biomedical fields thanks to its unique superelastic and shape-memory performance.

Identification of QTL, QTL-by-environment interactions, and their candidate genes for resistance HG Type 0 and HG Type 1.2.3.5.7 in soybean using 3VmrMLM.

Introduction: Soybean cyst nematode (SCN, Heterodera glycines Ichinohe) is an important disease affecting soybean yield in the world. Potential SCN-related QTLs and QTL-by-environment interactions (QEIs) have been used in SCN-resistant breeding.

Methods: In this study, a compressed variance component mixed model, 3VmrMLM, in genome-wide association studies was used to detect QTLs and QEIs for resistance to SCN HG Type 0 and HG Type 1.

Weighted gene co-expression network analysis identifies genes related to HG Type 0 resistance and verification of hub gene .

Introduction: The soybean cyst nematode (SCN) is a major disease in soybean production thatseriously affects soybean yield. At present, there are no studies on weighted geneco-expression network analysis (WGCNA) related to SCN resistance.

Methods: Here, transcriptome data from 36 soybean roots under SCN HG Type 0 (race 3) stresswere used in WGCNA to identify significant modules.

Degradation of perfluoroalkyl substances using UV/Fe system with and without the presence of oxygen.

The wide presence of per- and poly-fluoroalkyl substances (PFAS) in the environment is a global concern, thus their degradation is an imminent task. In this study, oxidative and/or reductive degradation of three representative PFAS - perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), and perfluorooctane sulfonate (PFOS) was achieved using nanoscale zero-valent iron (Fe NPs) under ultraviolet (UV) light, both with and without the presence of oxygen. Higher degradation and defluorination rates were obtained for a longer chain PFNA compared to PFOA, and a higher removal of PFAS was achieved without the presence of O compared to that with O.

Achieving Triply Periodic Minimal Surface Thin-Walled Structures by Micro Laser Powder Bed Fusion Process.

Recently, triply periodic minimal surface (TPMS) lattice structures have been increasingly employed in many applications, such as lightweighting and heat transfer, and they are enabled by the maturation of additive manufacturing technology, i.e., laser powder bed fusion (LPBF).