Commercial Program Research Articles

A Description of NAPLEX and MPJE Preparation Strategies Among US Colleges and Schools of Pharmacy

ObjectiveThe purpose of this study was to describe the different strategies used to supplement North American Pharmacist Licensure Examination (NAPLEX) and Multistate Pharmacy Jurisprudence Examination (MPJE) preparation in the US pharmacy programs. MethodsAn online survey was developed to gather information from 141 accredited schools/colleges of pharmacy about the preparation methods used during the 2021–22 academic year. The questionnaire contained 19 NAPLEX- and 10 MPJE-specific questions related to timing, content, use of commercial products and programs, faculty involvement, and whether these activities were required or recommended. Characteristics of schools/colleges were compared based on the presence or absence of preparation programs; preparation programs were descriptively reported. ResultsThe response rate was 71%. Most schools (87/100 respondents) provided NAPLEX preparation programs starting in the advanced pharmacy practice experiential year, required students to participate, and focused on reviewing the content instead of assessing students’ examination readiness. Similar elements were reported among 61 schools providing MPJE preparation programs. Schools used a variety of resources including access to vendor-based question banks or review materials, and completing live, proctored, NAPLEX-like examinations. Characteristics of schools or colleges did not differ significantly based on presence or absence of a preparation program. ConclusionSchools/colleges of pharmacy use a variety of strategies to prepare students for licensing examinations. Many require student participation in vendor-based preparation programs for NAPLEX, and homegrown programs for MPJE preparation. The next step will be to determine the effectiveness of various approaches used by the schools/colleges on first-time licensure examination attempts.

Evaluation of pea genotype PI180693 partial resistance towards aphanomyces root rot in commercial pea breeding.

The cultivation of vining pea (Pisum sativum) faces a major constraint with root rot diseases, caused by a complex of soil-borne pathogens including the oomycetes Aphanomyces euteiches and Phytophtora pisi. Disease resistant commercial varieties are lacking but the landrace PI180693 is used as a source of partial resistance in ongoing pea breeding programs. In this study, the level of resistance and their interaction with A. euteiches virulence levels of six new back-crossed pea breeding lines, deriving from the cross between the susceptible commercial cultivar Linnea and PI180693, were evaluated for their resistance towards aphanomyces root rot in growth chamber and green house tests. Resistance towards mixed infections by A. euteiches and P. pisi and commercial production traits were evaluated in field trials. In growth chamber trials, pathogen virulence levels had a significant effect on plant resistance, as resistance was more consistent against A. euteiches strains exhibiting high or intermediate virulence compared with lowly virulent strains. In fact, line Z1701-1 showed to be significantly more resistant than both parents when inoculated with a lowly virulent strain. In two separate field trials in 2020, all six breeding lines performed equally well as the resistant parent PI180693 at sites only containing A. euteiches, as there were no differences in disease index. In mixed infections, PI180693 exhibited significantly lower disease index scores than Linnea. However, breeding lines displayed higher disease index scores compared with PI180693, indicating higher susceptibility towards P. pisi. Data on seedling emergence from the same field trials suggested that PI180693 was particularly sensitive towards seed decay/damping off disease caused by P. pisi. Furthermore, the breeding lines performed equally well as Linnea in traits important for green pea production, again emphasizing the commercial potential. In summary, we show that the resistance from PI180693 interacts with virulence levels of the pathogen A. euteiches and is less effective towards root rot caused by P. pisi. Our results show the potential use of combining PI180693 partial resistance against aphanomyces root rot with commercially favorable breeding traits in commercial breeding programs.

Energy, Exergy, and Economic (3E) Analysis of Boil-Off Gas Re-Liquefaction Systems Using LNG Cold Energy for LNG-Fueled Ships

Liquefied natural gas (LNG)-fueled ships have the effect of reducing most pollutants, which is advantageous for responding to strict regulations. Because boil-off gas (BOG) is generated in the LNG storage tank of an LNG-fueled ship, a BOG re-liquefaction system is required. The representative systems for LNG-fueled ships were proposed by Kwak and Shen, but their exergy efficiencies were only 19.6% and 24.9%, respectively. To improve the system, this paper proposes novel BOG re-liquefaction systems combined with the fuel gas supply system. The systems utilize LNG cold energy in the BOG stream and N2 reverse Brayton cycle, respectively. The proposed systems were simulated using a commercial program and were optimized using a genetic algorithm. The results of energy, exergy, and economic (3E) analyses performed for comprehensive evaluation of the proposed system show that the system in which LNG cold energy is applied to the BOG stream has the best performance. Specific energy consumption, exergy efficiency, and total annual costs of this system were improved by up to 78.6%, 69.2%, and 68.2%, respectively, compared to those of the existing systems. The overwhelmingly superior system is expected to greatly contribute to the improvement of the BOG re-liquefaction system for LNG-fueled ships.

Macromechanism Approach for Vulnerability Assessment of Buildings on Shallow Foundations in Liquefied Soils

The damage caused by seismic shaking and liquefaction-induced permanent ground deformation has conventionally been assessed as two separate problems often by different engineers. However, the two problems are inherently linked, since ground shaking causes liquefaction, and liquefaction-induced soil softening affects ground shaking. Modelling both problems within a single numerical model is complex for both the engineer and the software, and most finite element software only have the capabilities to address one of them. To improve the estimates of the seismic performance of buildings on liquefiable soil, a new sub-structuring approach is proposed called the macro-mechanism approach. This approach allows the soil-liquefaction-foundation-structure interaction to be considered in a series of sub-models accounting for the major nonlinear mechanisms of the system at a macro level. The proposed approach was implemented in the open-source finite element software OpenSees and then applied to a case study of a building where significant liquefaction- and shaking-induced damage was observed after the 1999 Mw 7.4 Kocaeli Earthquake. The case study building was also simulated using two different commercial software programs, the finite difference software FLAC, and the finite element software PLAXIS, by two different research teams. A comparison between the results from the macro-mechanism approach compared to full numerical models shows that the macro-mechanism approach can capture the extent of the foundation deformation and provide more realistic estimates of the building damage than full approaches since the FLAC and PLAXIS models consider elastic elements for the building.

Identification of gut microbes associated with feed efficiency by daily-phase feeding strategy in growing-finishing pigs.

Feed efficiency is one of the most important issues for sustainable pig production. Daily-phase feeding (DPF) is a form of precision feeding that could improve feed efficiency in pigs. Gut microbiota can regulate host nutrient digestion, absorption, and metabolism. However, which key microbes may play a vital role in improving the feed efficiency during DPF remains unclear. In the present study, we used a DPF program compared to a three-phase feeding (TPF) program in growing-finishing pigs to investigate the effects of gut microbiota on feed efficiency. A total of 204 Landrace×Yorkshire pigs (75d) were randomly assigned into 2 treatments. Each treatment was replicated 8 times with 13 to 15 pigs per replicate pen. Pigs in the TPF group were fed with a commercial feeding program that supplied fixed feed for phases I, II, and III, starting at 81, 101, and 132 d of age, respectively, and pigs in the DPF group were fed a blend of adjacent phase feed from 81 to 155 d at a gradual daily ratio and phase III feed from 155 to 180 d of age. Daily feed intake and body weight were recorded by a computerized device in the feeders. Feces and blood samples were collected from 1 pig per replicate at 155 and 180d of age. The results showed that the DPF program remarkably improved the feed efficiency at 155 d (P<0.001) and 180d of age (P<0.001), with a significant reduction of the intake of crude protein (P<0.01), net energy (P<0.001), crude fiber (P<0.001), ether extract (P<0.01), and ash (P<0.001). The daily-phase feeding program increased the abundance of Prevotella copri (P<0.05) and Paraprevotella clara (P<0.05), while it decreased the abundance of Ocilibacter (P<0.05) at 155d of age. The results of correlation analysis indicated that the differentially abundant microbiota communities were closely associated with 20 metabolites which enriched amino acid and phenylalanine metabolism. Our results suggest that 2 key microbes may contribute to feed efficiency during daily-phase feeding strategies in pigs.

Cover Image, Volume 63, Issue 2

Crop ScienceVolume 63, Issue 2 COVER IMAGEFree Access Cover Image, Volume 63, Issue 2 First published: 16 March 2023 https://doi.org/10.1002/csc2.20784AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Graphical Abstract On the cover: Historical sorghum (Sorghum bicolor (L.) Moench) trial of US commercial breeding program for characterization of yield gain and related traits.See companion articles Mayor et al. (https://doi.org/10.1002/csc2.20897) and Demarco et al. (https://doi.org/10.1002/csc2.20845; https://doi.org/10.1002/csc2.20763). Photo credit: Paula Andrea Demarco. Volume63, Issue2March/April 2023 RelatedInformation

A study of the impact damages detection and dynamic responses of RC bridge piers based on a frequency domain correlation method

The applicability potential of correlation methods (damage correlation indexes) based on frequency domains in the impact damage detection fields of reinforced concrete columns were examined in the present study. In the current study’s experiments, four reinforced concrete bridge pier members of reduced scale were impacted by a new type of ultra-high drop hammer experiment system in order to simulate the processes of medium-sized trucks impacting bridge piers. The frequency response functions of the members before and after damages occurred were measured using an acceleration acquisition system. The experimental results revealed that the damage correlation indexes (DCI) taken into account the multi-order modal frequencies could be used to accurately identify the degrees of damage to the piers. In addition, an impact finite element model and a modal analysis method were matched with the experiments and were established using the commercial program LS-DYNA. Finally, the setting of the finite element parameters matching the experimental results was applied for the purpose of simulating the impact processes between the medium-sized trucks and the reinforced concrete piers. In order to meet the structural design requirements, a peak impact force (PIF) formula under vehicle impact conditions was proposed based on the damage indexes.

Immersed isogeometric Boundary Elements: A user friendly method for the 3-D elasto-plastic simulation of underground excavations

The purpose of this paper is to present a simulation method for underground excavations that is more user friendly and efficient than existing methods. The immersed isogeometric Boundary Element Method is presented. Nonuniform rational B-splines (NURBS) are used for the accurate definition of complex geometries with few parameters. Immersed technology is applied to automatically generate cell meshes. This allows heterogeneous and anisotropic ground conditions as well as nonlinear material behaviour to be considered. On a practical example – that involves the elasto-plastic simulation of a borehole and where results are compared with a commercial Finite element program – the user friendliness and accuracy is demonstrated.

Retrospective study in US commercial sorghum breeding: I. Genetic gain in relation to relative maturity

AbstractSorghum [Sorghum bicolor (L.) Moench] is an important staple food for human consumption and a source of animal feed in the semiarid regions of the world. Sustained positive rates of crop improvement are necessary to supply food and feed to a growing population. However, land allocated to sorghum and its inclusion in production systems has been in constant decline. Here we report the rate of sorghum genetic gain in a commercial breeding program in the United States and provide evidence that a modest yield improvement is an important factor limiting land allocation to this crop. A 6‐year study that evaluated 50 sorghum genotypes commercialized between the decades of 1960 and 2010 was conducted in 19 environments within the US Sorghum Belt region. Yield varied between 500 and 850 g m−2. Here we show a positive rate of genetic gain of 2.63 g m−2 y−1 on average across three different maturity groups grown in the United States. Rates ranged from 2.1 to 4.3 g m−2 y−1 across maturity groups. This result contrasts with a stagnant rate of crop improvement for many regions of the world, yet the rates are insufficient to reverse the negative trend in planted area. Breeding technologies are proposed to hasten genetic gain in sorghum to reverse the loss of on‐farm agricultural biodiversity.

Numerical modelling of an earth-air- tunnel assisted single span saw-tooth greenhouse for tropical climate

In tropical conditions the greenhouse temperature rise above the advised range at crop height is a major issue. In the present research work, thermal performance of Earth Air tunnel Heat Exchanger (EATHE) assisted single span saw-tooth greenhouse was assessed using indigenously developed code and commercial computer program (ANSYS-Fluent). The numerical model was first validated with published and own experimental data. The effectiveness of coupling EATHE to control inside temperature of the greenhouse was assessed for different side vent opening scenario. The air movement caused by wind and stack effect in greenhouse was an important factor that affected the uniformity of greenhouse temperature. Maximum temperature was observed near the ground because solar radiations transmitted through the greenhouse cover were absorbed by the soil. For greenhouse without EATHE, the inside average temperature remained above 45 °C (ambient temperature) as no cooling mechanism was deployed. On the other hand for EATHE assisted greenhouse, optimum plants growth temperature (between 25 and 35 °C) was maintained at crop height because the annual variation in the underground soil temperature was much smaller compared to the ambient air temperature. Among various configurations, the best thermal performance for optimum plant growth was obtained when both side vents of greenhouse were connected to EATHE.

Parametric modelling of 3D printed concrete segmented beams with rebars under bending moments

3D concrete printing is gaining relevance as a technology for the manufacture of lightweight components and complex freeform shells. Nevertheless, the insertion of reinforcing elements to withstand tensile stress, the fabrication of large structures, and the insertion of joints between different segments are some targets that are still to be addressed for its full development. A new method which also includes a novel parametric model is presented in this study to simulate the performance of 3DPC reinforced segmented beams subjected to 3-point bending tests. In addition to the geometry of the complete beam, the beam segments, different materials, and the rebar, which were considered in previous works, the material age and the interface between segments and rebar-concrete adhesion are also considered in the new method. The method is complemented by a new set of programmed routines that connect commercial design and finite element calculation programs, requiring only one user interaction with an initial routine to generate the estimated performance of a component in a 3-point flexural test in a given set of cases. Finally, the method was validated through direct comparisons with experimental tests.

NON‐LINEAR ANALYSIS OF COMPOSITE BEAMS WITH MINIMAL MODELLING AND CALCULATION EFFORT FOR STRAIN‐LIMITED DESIGN

AbstractIn the following, an analysis method is presented that enables the modelling of composite beams in commercial programs with minimum effort, considering non‐linear material behaviour and nonlinear flexibility of the composite joint. A particular focus is placed on the deformations, especially those of the composite joint in horizontal and vertical directions. A detailed insight into the necessary accuracy of the material modelling is presented. The model is subsequently verified by means of comparative analyses of real beam tests.

Simplified micro-model for brick masonry walls under out-of-plane quasi-static and blast loadings

Attributed to the discontinuous configurations and nonhomogeneous mechanical properties of brick and mortar in masonry wall, the numerical reproduction of the structural responses and damage evolution of masonry walls under out-of-plane (OOP) loadings still remains a challenging work. Firstly, a 3D simplified micro-model of masonry wall was developed by utilizing the commercial finite element program ANSYS/LS-DYNA, the masonry wall was simplified as a combination of expanded brick units with a series of joints, in which the expanded brick units and joints are described by Riedel-Hiermaier-Thoma (RHT) model and cohesive contacts, respectively. Then, the corresponding parameters determination approaches for the cohesive contact and RHT model are proposed by comparing with the test on brick-mortar-brick assemblages and regulation, respectively. Furthermore, by comparing with four sets of OOP quasi-static and field explosive tests data, the prediction accuracy and efficiency of the simplified modeling strategy, material model and parameters are fully validated. Finally, based on the parametric study, it indicates that the blast resistance of walls is enhanced with increasing the compressive strength of brick and mortar, and arranging the tie bars, while significantly degraded with increasing the aspect and slenderness ratios of walls. This work could provide a helpful reference for the blast-resistant evaluation and design of brick masonry walls.

Single-Arm Trial of a Flexible Multicomponent Commercial Digital Weight Management Program

Background Hunger and food cravings predict poor outcomes in lifestyle interventions for weight management. For this reason, flexible weight management programs, as opposed to restrictive weight management programs, are needed. WW (formerly Weight Watchers)—a widely available, commercial weight management and wellness program—includes an approach that allows participants to obtain a personalized zero-point food (ZPF) list, which includes foods that do not need to be weighed, measured, or tracked. With over 300 potential options, ZPFs can include fruits, vegetables, legumes, whole grains, nonfat dairy, and lean sources of protein. Participants are assigned an individualized daily and weekly point target and can use ZPFs to help budget their points throughout the day, which can nudge participants toward a healthier overall dietary pattern. Objective In a 6-month, single-arm trial, we examined the efficacy of WW when delivered via multimodal digital tools, including a mobile app for assisting with point tracking, weekly virtual workshops, weekly 5-minute wellness check-ins, and a Facebook group in which participants could socialize and support each other. Methods The outcomes included weight change from baseline, as measured by the Bluetooth scales provided to each participant; hunger (visual analogue scale); food cravings (Food Craving Inventory); the intake of fruits and vegetables (The Five Factor Screener); physical activity (Global Physical Activity Questionnaire); and overall well-being (WHO-5 Well-Being Index). Results Of the 153 participants, 70% were female, and 66% were White. Participants’ mean age was 41.09 (SD 13.78) years, and they had a mean BMI of 31.8 (SD 5.0) kg/m2. Retention was high, as 91.5% provided 6-month follow-up data. Participants lost an average of 5.1% of body weight from baseline to 6 months (mean −4.4, SD 4.87 kg; P&lt;.01), with 51% losing clinically significant weight (≥5%). Hunger significantly declined over 6 months (mean percent change −14.74%, SD 64.28%; P&lt;.01), as did food cravings (mean percent change −16.99%, SD 19.98%). The intake of fruits (mean percent change 65.95%, SD 188.78%; P&lt;.01), vegetables (mean percent change 68.29%, SD 172.61%; P&lt;.05), and salad (mean percent change 127.43%, SD 250.82%; P&lt;.001) significantly increased. Engagement in moderate physical activity increased by an average of 32 (SD 133) minutes per day (P&lt;.01), and sedentary time decreased by 90 (SD 24.5) minutes per day (P&lt;.001). Finally, well-being significantly increased (mean change 17.77%, SD 46.21%; P&lt;.01). Conclusions This program, which used a less restrictive method of food tracking and provided personalized ZPFs, resulted in significant weight loss and an increase in fruits, vegetables, and exercise, while also reducing hunger and food cravings. Future research should compare the effectiveness of these approaches to traditional programs that require the self-monitoring of all foods and beverages. Trial Registration ClinicalTrials.gov NCT04302389; https://clinicaltrials.gov/ct2/show/NCT04302389 Conflicts of Interest None declared.

An evidence-based rationale for a North American commercial bumble bee clean stock certification program

The commercial production and subsequent movement of bumble bees for pollination of agricultural field and greenhouse crops is a growing industry in North America and globally. Concerns have been raised about the impacts of pathogen spillover from managed bees to wild pollinators, including from commercial bumble bees. We recommend development of a program to mitigate disease risk in commercial bumble bee production, which will in turn reduce disease stressors on wild pollinators and other insects. We provide recommendations for the components of a clean stock program with specific best management practices for rearing commercial bumble bees including related products such as wax, pollen, and nesting material.

Predicting Clinically Significant Weight Loss in a Multimodal Commercial Digital Weight Management Program: Machine Learning Approach

Background Generally, adherence to diet and physical activity in behavioral weight management programs predicts weight loss. Moreover, meeting attendance and platform or app use predict weight loss. Many weight-loss–prediction studies primarily use regression. However, little is known about the levels of adherence to specific web-based weight management program tools as well as behavioral and psychosocial variables that predict significant weight loss using machine-learning approaches. Objective In this paper, we aimed to examine variables that can predict clinically significant weight loss (≥5%) in a multimodal commercial digital weight management program, including levels of adherence to intervention tools and changes in behavioral and psychosocial states using machine-learning approaches. Methods We performed secondary analyses using data from a one-arm trial online WW (formerly Weight Watchers) weight-loss intervention program, lasting 6 months, that recruited US adults with a BMI range of 25-45 kg/m2. We used a WW Bluetooth scale and digital intervention tools such as mobile app for point tracking, weekly virtual workshops, weekly wellness check-ins and a Facebook group, and changes in psychosocial and behavioral variables (ie, food craving, Pittsburgh sleep quality index, diet, hunger, and physical activity). Using the receiver operating characteristics (ROC) curve, we identified the predictors of significant weight loss, as well as the associated cut points (CP) and area-under-curve (AUC) values for each variable. We further used a classification tree to confirm the importance of these predictors and assessed the out-of-sample prediction accuracies using 5-fold cross-validation. Results Participants (N=153) were 70% female and 66% White, with a mean age of 41.09 (SD 13.78) years, and had a mean BMI of 31.8 kg/m2 (SD 5.0). Approximately 51% of participants lost ≥5% weight. Using ROC curve, food tracking (CP≥9.4%; AUC=0.744; P&lt;.001), increase in self-weighing (CP≥0.5; AUC=0.733; P&lt;.001), wellness check-in attendance (CP≥31.3%; AUC=0.723; P&lt;.001), and workshop attendance (CP≥35.4%; AUC=0.699; P&lt;.001) were identified as significant predictors of achieving ≥5% weight loss. We confirmed the importance of these variables using classification tree, and together they achieved an out-of-sample prediction accuracy of 78%. Conclusions ROC curve and classification tree provided consistent results of predictors of clinically significant weight loss (ie, food tracking, increase in self-weighing, workshop attendance, and wellness check-in attendance). Our study extends the weight management literature by using machine-learning approaches to identify significant weight loss predictors and specific levels of these predictors needed to achieve clinically significant weight loss. Conflicts of Interest None declared.

A regression approach to identify discriminating locations

AbstractSelection of planting locations is an important issue in plant breeding and may significantly impact the probability of correctly identifying the desired genotype based on noisy data. This is especially true for early‐stage experimentation where a set of experimental genotypes is observed in very few locations. This study aims to identify locations that are most helpful for discriminating the main effects of two or more genotypes. A regression‐based model is proposed that characterizes the sensitivity of location to the genotype main effect, and locations with significant positive sensitivity are termed discriminative. Comparing or ranking genotypes using these locations results in exaggerated expected differences between genotype main effects, allowing for more accurate comparisons in the presence of noise. Based on the proposed model, an expression for the probability of making correct genotype selection is derived given a set of locations with known location sensitivities. The probability of correct selection is then used to characterize an optimal set of location that maximizes the probability of selecting the genotype with better main effect. These locations are independent of the genotypes being compared and only depend on the number of locations being considered and the sensitivities of these locations to genotype effects. The theoretical implications of the model are validated using data obtained from a commercial soybean breeding program. The results show that by using discriminating locations correct selection is made 76% of the time, versus 67% for all locations and only 63% of the time for non‐discriminating locations.

Alpha Capture Systems: Past, Present, and Future Directions

Alpha Capture Systems (ACS) describe a set of commercial and private computer programs that track investment recommendations and their subsequent performance to create an alpha-generating portfolio. This article presents an overview of the evolution of ACS from the first sell-side to the more recent buy-side systems, from capturing brokers’ ideas to analyzing the underlying positions of mutual funds and even hedge funds. We discuss the key features of the most recent ACS and flag their expected weaknesses. We suggest various improvements we expect to see in future ACS that, based on our experience, should enhance their performance significantly.

An BESO Approach for Optimal Retrofit Design of Steel Rectangular-Hollow-Section Columns Supporting Crane Loads

In this paper, we propose a cost-effective optimal-topology retrofitting technique for hollow-steel-section columns to sufficiently support industrial running cranes. A so-called bi-directional evolutionary structural optimization (BESO) method was encoded within the MATLAB modeling framework, with a direct interface with an ANSYS commercial finite-element analysis program, to determine the optimal topology of double external steel plates connected to columns in a 3D space. For the initial ground structure, we have adopted standard uniform double U-shaped external stiffener plates located at the top and bottom flange layers of an I-beam to box-column connection (IBBC) area. The influences of inelastic materials and the incorporated nonlinear geometry can effectively describe the premature (local buckling) failures of the columns in an IBBC area. The applications of the proposed optimal-topology BESO-based stiffening method are illustrated through the retrofitting of three hollow-steel-section columns, characterized by non-slender and slender compression sections. Some concluding remarks are provided on the pre- and post-retrofitted responses of the columns, with the results showing both the accuracy and robustness of the proposed external stiffening schemes.

Dynamics of changes in milk productivity of brown Swiss cows of local breeding in the conditions of Armenia

Relevance. In the Republic of Armenia, the leading branch of animal husbandry is cattle breeding. More than 95 % of the milk and 60% of the meat are obtained from cattle breeding. In order to further develop cattle breeding in the republic within the framework of various state and commercial programs, since 2007, Holstein, Brown Swiss, Simmental and Jersey heifers have been imported from European countries. In this regard, the study of adaptive and productive qualities of not only imported, but also received from them animals of the first generation is relevant. Methods. Experimental studies were carried out on the number of dairy cows in the leading livestock farm of OOO “Agroholding “Armenia”” near the city of Spitaka. The processing of the research results was carried out using the method of variation statistics. The article substantiates the age-related changes in the indicators of milk productivity of the daughters of the Brown Swiss breed of the first generation, obtained from mothers imported from Germany, at I; II and III lactation (2016–2021). The farm has a system of keeping cows year-round stall, with loose-box method of keeping. Cows are fed and milked twice a day. The study determined the milk yield, the fat and protein content in milk (monthly control milking), the live weight of cows (by weighing), the lactation coefficient and milk yield repeatability coefficients. Results. According to the results of the research, Brown Swiss cows obtained from imported mother cows had sufficiently high indicators of milk productivity and live weight, which naturally increased with age. In cows, milk yield from I to III lactation was 6845; 7630 and 8450 kg, respectively, the fat and protein content in milk was 4.08; 4.03; 4.0 % and 3.2; 3.16; 3.12 %, live weight was 550; 595 and 630 kg, and the milk coefficient was 12.4; 12.8 and 13.4.