Main Causes Of Economic Losses Research Articles

Study on the transient expression of infectious bronchitis virus spike protein in Nicotiana benthamiana leaves

Infectious bronchitis virus (IBV) is considered as one of the main causes of economic loss in chicken farms worldwide, especially in poultry producing nations. This virus, a member of the Coronaviridae family, is classified into different genotypes based on its surface spike glycoproteins which also play important roles in cell attachment and immune response. Due to continual genetic mutation of IBV, attenuated and inactivated vaccines show decreased effectiveness or lack of cross – protection; thus ongoing studies focus on the development of new generation vaccines to prevent new IBV outbreaks. This paper describes our study on expression of the antigenic region in S1 subunit of the spike in Nicotiana benthamiana. Two expression vectors carrying either S1 or receptor binding domain (RBD) coding gene (pCB301-S1 and pCB301-RBD) were constructed and transformed into tobacco leaves by agroinfiltration method. The RBD showed a clearly higher level of expression compared to the whole S1. Purification of RBD by immobilized metal ion chromatography and size exclusion chromatography represented a mixture of monomer, dimer and trimer glycoprotein with expected sizes in Western blot. In summary, this study demonstrated our primary success in establishing an expression model that could be used to investigate plant-based IBV recombinant vaccine.

Identification, Biochemical Characterization, and In Vivo Detection of a Zn-Metalloprotease with Collagenase Activity from Mannheimia haemolytica A2.

Respiratory diseases in ruminants are a main cause of economic losses to farmers worldwide. Approximately 25% of ruminants experience at least one episode of respiratory disease during the first year of life. Mannheimia haemolytica is the main etiological bacterial agent in the ruminant respiratory disease complex. M. haemolytica can secrete several virulence factors, such as leukotoxin, lipopolysaccharide, and proteases, that can be targeted to treat infections. At present, little information has been reported on the secretion of M. haemolytica A2 proteases and their host protein targets. Here, we obtained evidence that M. haemolytica A2 proteases promote the degradation of hemoglobin, holo-lactoferrin, albumin, and fibrinogen. Additionally, we performed biochemical characterization for a specific 110 kDa Zn-dependent metalloprotease (110-Mh metalloprotease). This metalloprotease was purified through ion exchange chromatography and characterized using denaturing and chaotropic agents and through zymography assays. Furthermore, mass spectrometry identification and 3D modeling were performed. Then, antibodies against the 110 kDa-Mh metalloprotease were produced, which achieved great inhibition of proteolytic activity. Finally, the antibodies were used to perform immunohistochemical tests on postmortem lung samples from sheep with suggestive histology data of pneumonic mannheimiosis. Taken together, our results strongly suggest that the 110-Mh metalloprotease participates as a virulence mechanism that promotes damage to host tissues.

Altered rumen microbiome and correlations of the metabolome in heat-stressed dairy cows at different growth stages

ABSTRACT Heat stress is one of the major stressors affecting dairy cow production, which causes great losses in animal husbandry production and economic development. This study combined 16S rDNA sequencing, metagenomic sequencing, and metabolomic analysis to investigate the effects of heat stress on the rumen microbiome and metabolism of cows. To achieve this, 10 cows each of growing heifers, heifers, and lactating cows were selected for sample collection in April and August (a total of 60 cows). Ruminal fluid was collected, filtered through gauze, and immediately transferred to liquid nitrogen prior to metagenomic, 16S rDNA sequencing, and metabolomic analyses. Heat stress increased the abundance of pathogenic bacteria, such as Treponema_2 , Sphingobacterium , and Streptococcus , in cattle at all growth stages, with the structure and composition of rumen microbial communities being the most affected by heat stress in growing heifers and the least affected by heat stress in lactating cows. Heat stress led to a significant decrease in carbohydrate metabolic function in growing heifers and heifers, whereas microbial function was the most stable in lactating cows, suggesting that changes in microbial function are not only more conserved than microbial composition but are also affected by age. Heat stress led to significant enrichment of fatty acyl metabolites in growing heifers, heifers, and lactating cows, and the heat stress indicator species Bacillus , Lactococcus , Streptococcus , and Enterococcus were significantly associated with fatty acyl compounds in growing heifers and heifers. Therefore, heat stress alters the metabolic status of cows by modulating fatty acid biosynthesis, the PPAR signaling pathway, and arachidonic acid metabolism through the regulation of long-chain fatty acids and other biomarkers in cows at three growth stages. IMPORTANCE Heat stress is one of the main causes of economic losses in the dairy industry worldwide; however, the mechanisms associated with the metabolic and microbial changes in heat stress remain unclear. Here, we characterized both the changes in metabolites, rumen microbial communities, and their functional potential indices derived from rumen fluid and serum samples from cows at different growth stages and under different climates. This study highlights that the rumen microbe may be involved in the regulation of lipid metabolism by modulating the fatty acyl metabolites. Under heat stress, the changes in the metabolic status of growing heifers, heifers, and lactating cows were closely related to arachidonic acid metabolism, fatty acid biosynthesis, and energy metabolism. Moreover, this study provides new markers for further research to understand the effects of heat stress on the physiological metabolism of Holstein cows and the time-dependent changes associated with growth stages.

Recombinase-aided amplification coupled with lateral flow dipstick for efficient and accurate detection of Bombyx mori nucleopolyhedrovirus.

The infection of Bombyx mori nucleopolyhedrovirus (BmNPV) is one of the main causes of economic losses in sericulture. Thus, it is essential to establish rapid and effective method for BmNPV detection. In the present study, we have developed a recombinase-aided amplification (RAA) to amplify the BmNPV genomic DNA at 37°C within 30min, and achieved a rapid detection method by coupling with a lateral flow dipstick (LFD). The RAA-LFD method had a satisfactory detection limit of 6 copies/μL of recombinant plasmid pMD19-T-IE1, and BmNPV infection of silkworm can be detected 12h post-infection. This method was highly specific for BmNPV, and without cross-reactivity to other silkworm pathogens. In contrast to conventional polymerase chain reaction (PCR), the RAA-LFD assay showed higher sensitivity, cost-saving, and especially is apt to on-site detection of BmNPV infection in the sericulture production.

Salmonella Infection in Pigs: Disease, Prevalence, and a Link between Swine and Human Health.

Salmonella is one of the most spread foodborne pathogens worldwide, and Salmonella infections in humans still represent a global health burden. The main source of Salmonella infections in humans is represented by contaminated animal-derived foodstuffs, with pork products being one of the most important players. Salmonella infection in swine is critical not only because it is one of the main causes of economic losses in the pork industry, but also because pigs can be infected by several Salmonella serovars, potentially contaminating the pig meat production chain and thus posing a significant threat to public health globally. As of now, in Europe and in the United States, swine-related Salmonella serovars, e.g., Salmonella Typhimurium and its monophasic variant Salmonella enterica subsp. enterica 1,4,[5],12:i:-, are also frequently associated with human salmonellosis cases. Moreover, multiple outbreaks have been reported in the last few decades which were triggered by the consumption of Salmonella-contaminated pig meat. Throughout the years, changes and evolution across the pork industry may have acted as triggers for new issues and obstacles hindering Salmonella control along the food chain. Gathered evidence reinforces the importance of coordinating control measures and harmonizing monitoring programs for the efficient control of Salmonella in swine. This is necessary in order to manage outbreaks of clinical disease in pigs and also to protect pork consumers by controlling Salmonella subclinical carriage and shedding. This review provides an update on Salmonella infection in pigs, with insights on Salmonella ecology, focusing mainly on Salmonella Choleraesuis, S. Typhimurium, and S. 1,4,[5],12:i:-, and their correlation to human salmonellosis cases. An update on surveillance methods for epidemiological purposes of Salmonella infection in pigs and humans, in a "One Health" approach, will also be reported.

Risk characteristics of China’s marine disasters and trends since 2000

Understanding the risk characteristics of marine disasters is of great importance for disaster prevention and mitigation. In this study, we considered four types of marine disasters typical in China, including storm surges, rough seas, harmful algal blooms, and oil spills to identify risk characteristics. Disaster risk was analyzed based on the theory that the marine disaster risk consists of hazard, exposure, and vulnerability. These three factors have been analyzed based on statistical data from a collection of historical documents and official records. The following characteristics were identified. First, the occurrence frequency of storm surges and rough waves has remained stable over the past few decades, but the occurrence frequency of red tides and oil spills has shown a downward trend. Second, storm surges were found to be the main cause of economic losses, while rough seas were the main cause of death. Economic losses and fatalities have shown a downward trend against the backdrop of a growing economy and population. Third, there are clear regional differences in the spatial distribution of all disasters, so it is necessary to formulate disaster prevention and mitigation plans according to the spatial differentiation of risks. Based on the various disaster prevention and mitigation measures taken by the government, this study makes some recommendations for future actions that the government should take from the perspective of risk composition. The risk analysis paradigm for marine disasters provided in this study is expected to be used for future marine disaster prevention and mitigation.

Immunogenicity of peptide-based vaccine composed of epitopes from Echinococcus granulosusrEg.P29.

Echinococcus granulosus is one of the main causes of economic loss in the livestock industry because of its food-borne transmission. Cutting off the transmission route is a valid prevention method, and vaccines are the most effective means of controlling and eliminating infectious diseases. However, no human-related vaccine has been yet marketed. As a genetic engineering vaccine, recombinant protein P29 of E. granulosus (rEg.P29) could provide protection against deadly challenges. In this study, we generated peptide vaccines (rEg.P29T , rEg.P29B , and rEg.P29T+B ) based on rEg.P29 and an immunized model was established by subcutaneous immunization. Further evaluation showed that peptide vaccine immunization in mice induced T helper type 1 (Th1)-mediated cellular immune responses, leading to high levels of rEg.P29 or rEg.P29B -specific antibodies. In addition, rEg.P29T+B immunization can induce a higher antibody and cytokine production level than single-epitope vaccines, and immune memory is also longer. Collectively, these results suggest that rEg.P29T+B has the potential to be developed as an efficient subunit vaccine for use in areas where E. granulosus is endemic.

Biogenic selenium nanoparticles with antifungal activity against the wood-rotting fungus Oligoporus pelliculosus

Selenium nanoparticles (SeNPs) have antimicrobial and antifungal activity. SeNPs using Se resistant bacteria is a low cost and eco-friendly technology. Fungal contamination of wood during drying is one of the main causes of economic losses in the wood industry. The bacterium Delftia sp. 5 resistance to Se and its ability to produce SeNPs able to inhibit the growth of the wood brown-rotting fungus Oligoporus pelliculosus was analyzed. The strain showed an optimal SeNPs production when selenite concentration was 160 mg L−1. The SeNPs were spherical with an average size 192.33 ± 8.6 nm and a zeta potential of -41.4 ± 1.3 nm. The SeNPs produced by Delftia sp. 5 (33.6 ± 0.1 mg L−1 Se) inhibited the growth of O. pelliculosus in agar plates and in Nothofagus pumilio (Lenga) wood samples. Delftia sp. 5 SeNPs could be used for embedding lenga wood prior to drying for preventing the growth of the deteriorating fungi O. pelliculosus.

First Multigram Scale-Up and Synthesis of Novel Valerolactam- Benzimidazole Hybrid Anthelmintic

Background: Infections caused by helminth parasites are the main cause of economic losses in the livestock industry worldwide. The rapid resistance acquired by different parasites against commercially available drugs motivates the search, design and development of new compounds capable of overcoming this situation. Previously, our group reported the novel hybrid valerolactam-fenbendazole (VAL-FBZ) compound with in vitro anthelmintic activity and good ex vivo parasite permeation. Objective: Optimization of the novel hybrid VAL-FBZ compound synthesis and scale-up to multigram order necessary for in vivo assays. Methods: For the hybrid VAL-FBZ synthesis, convergent strategy was utilized. To obtain the benzimidazole core, widely available fenbendazole and L-Ornithine hydrochloride synthesis were used. The key step was the coupling reaction, for which an inexpensive coupling agent of uronium salt family was used. Optimization was carried out searching the minimizing risks and costs at up scaling to multigram level. Results: In the first stage, the most precursors of Valerolactam and Benzimidazole cores were synthesized on a decagram scale getting better results than previous reports. Also, the coupling reaction was carried out using HBTU to obtain VAL-FBZ with above 99% HPLC purity, and an overall yield of 48%. The successful synthesis was developed without chromatographic purification in any step to minimize few risks for the operator. Conclusion: Successfully, an efficient multigram and economic process is reported.

Assessing the economic burden of multi-causal respiratory diseases in broiler farms in Iran.

The aim of this study was to find the direct economic losses due to the three viral causes of the avian respiratory syndrome, including Newcastledisease (ND), H9N2 influenza, and infectious bronchitis (IB) in stamped-out broiler farms during 2016-2017 across the country. This study was carried out on the information on cross-sectional monitoring in the years 2016-2017. The statistical society of the study was all the active broiler farms of the country stamped out due to respiratory syndrome. This study used compensation insurance data, and other sources. One-way ANOVA or Kruskal-Wallis tests were used to analyze normally and non-normally distributed data. In total, during the study period, 132 broiler farms and 1,723,131 fowls were stamped out. According to the results of the present investigation, the sum of costs and losses due to respiratory complex was 9.47 $US Million, 2016-2017 (5.72 from $US Million chicken meat losses and 3.75 $US Million was the total cost). ND was the main cause of economic losses and costs with 3.86 $US equal to 40.8% of the total. Cost of feeding was the highest followed by veterinary services and medicines, vaccination, and 1-day-old chicks costs with 2.27, 1.11, 0.33, and 0.036 $US Million, 2016-2017. In conclusion, we need to improve the preventive measures against respiratory viruses, especially NDV. Additionally, as the cost of feeding was the largest, it is important to shorten the time interval between disease occurrence and stamping out to reduce the cost.

Genome-wide association study using haplotype libraries and repeated-measures model to identify candidate genomic regions for stillbirth in Holstein cattle

Reduced fertility is one of the main causes of economic losses on dairy farms, resulting in economic losses estimated at $938 per stillbirth case in Holstein herds. The identification of genomic regions associated with stillbirth could help to develop better management and breeding strategies aimed to reduce the frequency of undesirable gestation outcomes. Here, 10,570 cows and 50,541 birth records were used to perform a haplotype-based GWAS. A total of 41 significantly associated pseudo-SNPs (haplotypes within haplotype blocks converted to a binary classification) were identified after Bonferroni adjustment for multiple tests. A total of 117 positional candidate genes were annotated within or close (in a 200-kb interval) to significant pseudo-SNPs (haplotype blocks). The guilt-by-association functional prioritization identified 31 potential functional candidate genes for reproductive performance out of the 117 positional candidate genes annotated. These genes play crucial roles in biological processes associated with pregnancy persistence, fetus development, immune response, among others. These results helped us to better understand the genetic basis of stillbirth in dairy cattle and may be useful for the prediction of stillbirth in Holstein cattle, helping to reduce the related economic losses caused by this phenotype.

Impact of commercial and autogenous Escherichia coli vaccine combination on broiler breeder stock performance, gross pathology, and diversity of Escherichia coli isolates

Avian colibacillosis is one of the main causes of economic losses in the poultry industry worldwide. Vaccination could help to prevent infection during the laying period on broiler breeder farms. Effective vaccination against avian pathogenic Escherichia coli (APEC) may be an essential step for protection of poultry flocks depending on the region where they are raised. The aim of this study was to investigate the additive protective effect of an autogenous E. coli vaccine in broiler breeders pre-vaccinated with a licensed E. coli vaccine (Poulvac®). Our field study was partially blinded and parallel group designed. Group 1 included 24 000 laying hens vaccinated by Poulvac®. Group 2 comprised 12 000 laying hens vaccinated by Poulvac® and additionally, by an autogenous E. coli vaccine via intramuscular application before transfer. The effectiveness of vaccination in both groups was evaluated according to the results of gross pathology, bacteriology (isolation and characterization of E. coli) and utility indicators. Based on the pathology, the occurrence of E. coli polyserositis syndrome (EPS), salpingoperitonitis syndrom (SPS), and haemorrhagic septicaemia was decreased in Group 2 compared to Group 1. The difference in the occurrence of EPS (P < 0.001) and SPS (P = 0.0342) was significant. The proportion of serotype O78 among E. coli isolated from Group 1 and Group 2 was also significant (P = 0.0178). The effective and multi-serotype vaccination program in order to expand heterologous protection of laying hens and combination of commercial and autogenous vaccines seems to be a promising preventive management tool.

A New Outbreak in Sea Bass Farming in Turkey: Aeromonas veronii

Turkey produces most of the European sea bassin Europe and bacterial diseases are the main cause of economic loss during the production cycle. This research presents the first extended study of the Aeromonas veronii infection in sea bass on the Turkish coast of the Aegean Sea. An outbreak was observed in three different sea bass farms and diseased fish with clinical symptoms were sampled. Abdominal distention, hemorrhages on the body and anus, enlarged spleen and liver, and hemorrhages in the internal organs were detected from clinical and pathological examinations. Biochemical and molecular identification confirmed the pathogen to be A.veronii.The histopathological observations demonstrated that the pathogen caused bacterial colonies in the fibrous connective tissue, granuloma, and vacuolar degeneration.The primary causes of the disease were proved through an infection experiment. 80% and 90% mortality were calculated in 0.85 x 108 CFU ml-1 and 1.28 x 108 CFU ml-1 experimentally infected groups with clinical and pathological signs of the disease respectively. Recently, the pathological symptoms of the disease had been confused with pasteurellosis infection in cage farms but the presence of A.veronii has been confirmed in the current study. A detailed study is needed to investigate the overall status of the disease in the Aegean Sea in order to design an appropriate preventive strategy.

27 Machine Learning Algorithms Based on Haplotype Libraries for Classification of Stillbirth Susceptibility in Holstein Cows

Abstract Reduced fertility is one of the main causes of economic losses in dairy farms. The cost of a stillbirth is estimated in US$ 938 per case in Holstein herds. Machine learning (ML) is gaining popularity in the livestock sector as a mean to identify hidden patterns and due to its potential to address dimensionality problems. Here we investigate the application of ML algorithms for the prediction of cows with higher stillbirth susceptibility in two scenarios: cows with >25% and >33.33% of stillbirths among birth records. These thresholds correspond to percentiles 75 (still_75) and 90 (still_90), respectively. A total of 10,570 cows and 50,541 birth records were collected to perform a haplotype-based genome-wide association study. Five-hundred significant pseudo single nucleotide polymorphisms (pseudo-SNPs) (False-Discovery Rate< 0.05) were used as input features of ML-based predictions to determine if the cow is in the top-75 and top-90 percentiles. Table 1 shows the classification performance of the investigated ML and linear models. The ML models outperformed linear models for both thresholds. In general, still_75 showed higher F1 values compared to still_90, suggesting a lower misclassification ratio when a less stringent threshold is used. We observe that accuracy of the models in our study is higher when compared to ML-based prediction accuracies in other breeds, e.g. compared to the accuracies of 0.46 and 0.67 that were achieved using SNPs for body weight in Brahman and fertility traits in Nellore, respectively. Xgboost algorithm shows the highest balanced accuracy (BA; 0.625), F1-score (0.588) and area under the curve (AUC; 0.688), suggesting that xgboost can achieve the highest predictive performance and the lowest difference in misclassification ratio between classes. The ML applied over haplotype libraries is an interesting approach for the detection of animals with higher susceptibility to stillbirths due to highest predictive accuracy and relatively lower misclassification ratio.

Age-related changes in thyroid hormones, some serum oxidative biomarkers and trace elements and their relationships in healthy Saanen goat kids during the first three month of age.

Early-life diseases in dairy animals are main causes of economic loss in livestock production. Oxidative stress (OS) and thyroid hormones are important inter-related components in the normal physiology of this critical period of life. However, limited information regarding their physiology in goat kids is available. This study was conducted to investigate the age-related changes of thyroid hormones, some serum oxidative biomarkers and trace elements in healthy Saanen goat kids. Nineteen newborn healthy Saanen goat kids (14 females and five males) were studied longitudinally from birth until three months of age. Blood sampling was performed 24-48h after birth and was repeated on 10±2, 28±2, 56±2 and 84±2days of age. The serum levels of thyroid hormones, malondialdehyde (MDA), reduced glutathione (GSH), total antioxidant capacity (TAC), selenium (Se), manganese (Mn) and molybdenum (Mo) were measured. Age-related changes were observed for all measured variables except for MDA (p<0.05). A decreasing trend was detected throughout the study in thyroid hormones, T3: T4 ratio and Mn (p<0.01). Some factors decreased from birth to day 10 (Se) or day 28 (TAC and GSH) and followed by an increasing trend that extended to day 84 (p<0.01). There were significant correlations between thyroid hormones and TAC, as well as Mn levels (p<0.05). These results imply that specific age-related reference values are essential for proper interpretation of the serum level of thyroid hormones and Mn in Saanen goat kids during the first three months of life. In addition, given the high level of thyroid hormones particularly during the first days of life, and their relationship with oxidative biomarkers and trace elements, improving the antioxidant system in this critical period is essential.

Control of postharvest fungal diseases in fruits using external application of RNAi.

Contamination with a variety of filamentous fungi can cause deterioration of food and agricultural products. Fungal contaminations reduce the quality and the shelf life of fresh fruits and are one of the main causes of economic loss in the global fresh fruit industry. Although chemical fungicides are effective and traditionally used to control postharvest fungal diseases, they are harmful to human health. In this context, use of RNA interference (RNAi)-based fungicides is a promising alternative strategy. Spray-induced gene silencing (SIGS) is an innovative RNAi-based approach for silencing target genes in phytopathogens. This review aims to discuss the recent findings on the use of RNAi-based fungicides to control the postharvest spoilage of fresh fruits. PRACTICAL APPLICATION: Control of postharvest fungal diseases is one of the most important strategies to make food available to consumers longer. In this sense, the external application of RNAi seems to be technologically advantageous and efficient as it helps to maintain the characteristics of plant products. In this sense, this review discussed what is possible to find in the literature regarding this new technology.

Bacterial endophytes: An agroecological alternative in the growth promotion and plant health management of cabbage leaf (Brassica oleracea var. acephala)

Among the most economically significant agricultural crops, the species of the Brassicaceae family stand out as one of the most popular in human food. Cabbage leaf (Brassica oleracea var. acephala) is an essential ingredient in many regional dishes and is an excellent nutritional source for children, young and old. However, Brazilian production has been suffering from the incidence of pests and diseases that affect the crop, being the black rot of the cruciferous (BRC), the main cause of economic losses of its producers. Given this context, the objective is to build a theoretical framework by reviewing the literature on the agroecological management of BRC in cabbage leaf, based on the contribution of scientific knowledge to the preservation of agrobiodiversity in rural and traditional family communities.

Mastitis, somatic cell count, and its impact on dairy-product quality… An omission in Colombia?: A review

Mastitis is the most common disease in dairy herds and the main cause of economic losses in milk production worldwide. This inflammatory reaction of the mammary gland affects the quantity, composition and quality of milk produced and its suitability for the dairy industry. Despite of its importance, Colombia has no regulations on somatic cell count (SCC); that is, no official upper limits have been established for the dairy industry. The current quality-based payment system for raw milk does not encourage local producers to reduce the level of somatic cells. Consequently, Colombia is at a disadvantage compared to countries that include this parameter in their payment schemes and subscribe to international free trade agreements, affecting the competitiveness of the Colombian dairy sector. This article reviews the types of somatic cells, the microbiology of mastitis, its etiology and diagnosis, the changes that generate the composition of milk, and the impact of high SCCs on the quality of dairy products, such as yogurt, cheese, and milk powder. The final section offers a reflection on the problem of high SCCs in Colombia and the lack of regulations in this regard.

11 Genome-wide association study using repeated measures model for stillbirth in Holstein dairy cattle

Abstract Reduced fertility is one of the main causes of economic losses in dairy farms. The financial losses are estimated in US$938 per stillbirth case in Holstein herds. The identification of genomic regions associated with stillbirth could help to develop better management and breeding strategies aiming to reduce the frequency of undesirable gestation outcomes. The same cow may show different outcomes in different gestations. Therefore, evaluation of a single time-point may provide a biased indication of the genetic causes of stillbirth. A weighted single-step genomic best linear unbiased prediction (WssGBLUP) was performed using the BLUPF90 software. A total of 14,145 cows (with three or more delivery records) were genotyped for 42,909 SNP markers mapped against the ARS-UCD1.2 bovine reference genome. Three rounds of WssGBLUP were performed using 50,541 stillbirth records (4.8±1.3 records per animal). In total, 5,796 stillbirth cases were observed out of the 50,541 records (~11%). The statistical model included: calf size, calf sex, and dam age class (&amp;lt; 36, 36–50, 50–63, 63–75, ³75 months) as fixed effects; and herd-year-season, cow additive genetic merit, cow permanent environment, and service sire as random effects. Nine windows explaining more than one percent of the total genetic variance were identified, where the top 3 windows explained 7.86% (BTA13:37558814-38550118), 4.92% (BTA18:59897080-60892357) and 2.17% (BTA12:80568320-81508005). The top candidate window, on BTA13, harbors the OVOL2 gene, which codifies a zinc-finger protein crucial for embryo development during the angiogenesis, heart formation, hematopoietic, endothelial, neural tube and placental development. Additionally, OVOL2 is crucial during the spermatogenesis and was already identified as down-regulated between ectopic and eutopic endometrial tissues in woman with endometriosis. These results pinpoint new genomic candidate regions for stillbirth in Holstein, helping to better understand the genetic mechanisms associated with fertility problems.

Testing and modeling of hurricane wind-driven rain water ingress, propagation, and subsequent interior damage in residential buildings

Hurricanes are a main cause of economic losses in the world, including Florida. They affect exterior, interior, and the contents of residential buildings. The interior damage can be as much as half of the cost of total damage, but the estimation of the interior damage is still somewhat crude. Most damage models estimate interior damage as a percentage of the exterior damage, or through simple relationships, that relate the height of water ingress in the building to the interior damage. This paper presents a new model for interior and contents damage estimations, which takes into account the physical mechanisms of hurricane-induced interior and contents damage from rainwater ingress. The method incorporates the results of large and full-scale tests to quantify the rainwater propagation and distribution from component to component in the interior of the building, and combines the test results with estimates of water resistance characteristics of the building interior and contents, and with cost analyses. The model is part of the commercial residential low-rise vulnerability model of the Florida Public Hurricane Loss Model (FPHLM). The paper presents the impact of the model on the FPHLM vulnerability curves, and illustrates how the new model can help evaluate mitigation strategies.