Vibration-based Health Monitoring of Earth Structures

Vibration-based health monitoring (VBHM) has successfully been used to assess the structural damage to bridges, buildings, aircraft, and rotating machinery. There is significant incentive to apply VBHM techniques to the damage detection and conditional assessment of earth structures (geostructures), e.g., foundations, dams, embankments, and tunnels, to improve design, construction, and performance. An experimental program was carried out to explore the efficacy of VBHM of earth structures. A vibratory roller compactor, instrumented with triaxial accelerometers to continuously measure drum and frame vibrations, was operated on a number of underlying material structures with varying properties. Time-domain and frequency-domain analyses of the coupled machine/earth structure response were performed to glean machine vibration features that reflect changes in underlying structural properties. Results illustrate that drum and frame acceleration amplitudes were fairly insensitive to changes in underlying media stiffness; however, drum acceleration frequency components (harmonics) were found to be sensitive to changes in underlying media and changes in soil properties during compaction. The strata underlying the soil undergoing compaction was found to strongly affect drum vibration characteristics.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline

Detection of co-expressed pathway modules associated with mineral concentration and meat quality in nelore cattle

Meat quality is a complex trait that is influenced by genetic and environmental factors, which includes mineral concentration. However, the association between mineral concentration and meat quality, and the specific molecular pathways underlying this association, are not well explored. We therefore analyzed gene expression as measured with RNA-seq in Longissimus thoracis muscle of 194 Nelore steers for association with three meat quality traits (intramuscular fat, meat pH, and tenderness) and the concentration of 13 minerals (Ca, Cr, Co, Cu, Fe, K, Mg, Mn, Na, P, S, Se, and Zn). We identified seven sets of co-expressed genes (modules) associated with at least two traits, which indicates that common pathways influence these traits. From pathway analysis of module hub genes, we further found an over-representation for energy and protein metabolism (AMPK and mTOR signaling pathways) in addition to muscle growth, and protein turnover pathways. Among the identified hub genes FASN, ELOV5, and PDE3B are involved with lipid metabolism and were affected by previously identified eQTLs associated to fat deposition. The reported hub genes and over-represented pathways provide evidence of interplay among gene expression, mineral concentration, and meat quality traits. Future studies investigating the effect of different levels of mineral supplementation in the gene expression and meat quality traits could help us to elucidate the regulatory mechanism by which the genes/pathways are affected

Potential regulatory elements on PCDH7 gene affecting residual feed intake in Nelore cattle.

Editores: Luiz Lehmann Coutinho, ESALQ/USP; Luciana Correia de Almeida Regitano, Embrapa Pecuária Sudeste; Gerson Barreto Mourão, ESALQ/USP; Aline Silva Mello Cesar, ESALQ/USP; Bárbara Silva Vignato, FZEA/USP; Mirele Daiana Poleti, ESALQ/USP; Wellison Jarles da Silva Diniz, UFSCar

Co-expression network analysis identifies genes associated with iron content in bovine muscle.

Editores: Luiz Lehmann Coutinho, ESALQ/USP; Luciana Correia de Almeida Regitano, Embrapa Pecuária Sudeste; Gerson Barreto Mourão, ESALQ/USP; Aline Silva Mello Cesar, ESALQ/USP; Bárbara Silva Vignato, FZEA/USP; Mirele Daiana Poleti, ESALQ/USP; Wellison Jarles da Silva Diniz, UFSCar

Identification of a pleiotropic locus for beef quality and feed efficiency in cattle using bi-trait genome-wide association analysis.

Editores: Luiz Lehmann Coutinho, ESALQ/USP; Luciana Correia de Almeida Regitano, Embrapa Pecuária Sudeste; Gerson Barreto Mourão, ESALQ/USP; Aline Silva Mello Cesar, ESALQ/USP; Bárbara Silva Vignato, FZEA/USP; Mirele Daiana Poleti, ESALQ/USP; Wellison Jarles da Silva Diniz, UFSCar

Genetic diversity and population structure of Ascochyta rabiei from the western Iranian Ilam and Kermanshah provinces using MAT and SSR markers

Knowledge of genetic diversity in A. rabiei provides different levels of information that are important in the management of crop germplasm resources. Gene flow on a regional level indicates a significant potential risk for the regional spread of novel alleles that might contribute to fungicide resistance or the breakdown of resistance genes. Simple sequence repeat (SSR) and mating type (MAT) markers were used to determine the genetic structure, and estimate genetic diversity and the prevalence of mating types in 103 Ascochyta rabiei isolates from seven counties in the Ilam and Kermanshah provinces of western Iran (Ilam, Aseman abad, Holaylan, Chardavol, Dareh shahr, Gilangharb, and Sarpul). A set of 3 microsatellite primer pairs revealed a total of 75 alleles; the number of alleles varied from 15 to 34 for each marker. A high level of genetic variability was observed among A. rabiei isolates in the region. Genetic diversity was high (He = 0.788) within populations with corresponding high average gene flow and low genetic distances between populations. The smallest genetic distance was observed between isolates from Ilam and Chardavol. Both mating types were present in all populations, with the majority of the isolates belonging to Mat1-1 (64%), but within populations the proportions of each mating type were not significantly different from 50%. Results from this study will be useful in breeding for Ascochyta blight-resistant cultivars and developing necessary control measures

Collateral Health Issues Derived from the Covid-19 Pandemic.

At the end of 2019, a new coronavirus (Covid-19) outbreak occurred in Wuhan, China, and spread throughout the world despite efforts to contain the virus. At the end of January 2020, the General Director of the World Health Organization (WHO) declared a Public Health Emergency of International Concern, and by mid-May 2020, the worldwide number of known Covid-19 cases had surpassed 4.4 million including more than 300,000 deaths..