Although genetic tests for many economically important beef cattle traits are commercially available, additional information is needed to help the industry better understand how the results from these tests translate into phenotypic outcomes. This information has important implications for marker-assisted management. The objective of this research was to determine the relationship between molecular breeding values (MBV) characterizing yield grade and marbling and distributions of phenotypic outcomes for yield grade and quality grade. Using data collected from commercially-fed cattle, mixed-model regression equations were estimated for yield grade and quality grade outcomes for both the full sample of commercial cattle (n= 8,995) and a subsample of black-hided steers (n = 4,790). Significant yield grade (P < 0.01) and marbling (P < 0.01) MBV effects were found. However, the yield grade MBV held up better at predicting phenotypic outcomes than the marbling MBV. Estimated conditional probability mass functions of yield and quality grade outcomes for the general population and black-hided steers were similar. Since distributions for black-hided steers were expected to be more applicable from a management perspective, we focused our analysis on these animals. For example, black-hided steers with "low" genetic potential for yield grade and marbling had about a 29% chance of achieving the base price or better on a price grid (yield grade 3 or lower and quality grade Low Choice or better). Increasing genetic potential for marbling increased the likelihood of achieving this same outcome. However, increasing genetic potential for yield grade was unlikely to increase overall carcass quality given its large deleterious effect on quality grade outcomes. Instead, simultaneous improvements in genetic potential for yield grade and marbling offered much more reliable improvements in overall carcass quality. For example, an animal with "moderate" genetic potential for both yield grade and marbling had a 46% chance of achieving the base price or better on a price grid, and an animal with the maximum observed MBV for these traits had a 66% chance of achieving this same outcome. Although the yield grade MBV held up better at predicting phenotypic outcomes, shifts in the distributions of yield grade and quality grade suggested that these increases were largely determined by the marbling MBV.
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http://dx.doi.org/10.2527/jas.2014-8511 | DOI Listing |
Qual Life Res
January 2025
Department of Clinical Science, Child- and Adolescent Psychiatry, Umeå University, 90185, Umeå, Sweden.
Purpose: The objective of this study is to assess the psychometric properties and reliability of the Swedish Patient-Reported Outcomes Measurement Information System (PROMIS) item banks for anxiety and depressive symptoms with item response theory analysis and post-hoc computerized adaptive testing in a combined Swedish Child and Adolescent Psychiatry (CAP) and school sample.
Methods: Participants (n = 928, age 12-20) were recruited from junior and high schools and Child and Adolescent Psychiatry Clinics in the region of Västerbotten. Unidimensionality, local independence, and monotonicity was tested.
Environ Sci Pollut Res Int
January 2025
Laboratory of Design and Development of Innovative Knitted Textiles and Garments, Department of Industrial Design and Production Engineering, University of West Attica, 12244, Egaleo, Attica, Greece.
This study investigates the production of high-purity cellulose pulp from peach (Prunus persica) fruit wastes generated during the processing of a Greek compote and juice production industry. A three-step chemical process is used, including alkaline treatment with NaOH, organic acid (acetic and formic) treatment, and hydrogen peroxide treatment, with the goal of cellulose extraction and purification. A fractional factorial design optimized reagent levels, revealing the strong influence of NaOH concentration on α-cellulose content and degree of polymerization.
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January 2025
Department of Intervention, Affiliated Hospital 2 of Nantong University, Nantong, China.
Objective: The aim of this study is to develop and validate a prediction model for fall risk factors in hospitalized older adults with osteoporosis.
Methods: A total of 615 older adults with osteoporosis hospitalized at a tertiary (grade 3A) hospital in Nantong City, Jiangsu Province, China, between September 2022 and August 2023 were selected for the study using convenience sampling. Fall risk factors were identified using univariate and logistic regression analyses, and a predictive risk model was constructed and visualized through a nomogram.
Int J Gynecol Cancer
January 2025
All India Institute of Medical Sciences, Department of Obstetrics and Gynecology (Gynecologic Oncology), Rishikesh, Uttarakhand, India. Electronic address:
Objective: To isolate and quantify cell-free DNA, analysis for p53 mutations, and correlation with tumor burden in women with epithelial ovarian cancer compared with benign and borderline epithelial ovarian tumors.
Methods: In this case-control study, plasma samples of eligible women collected 1 hour before surgery and based on final histopathology, women with epithelial ovarian cancer recruited as cases and borderline, and benign ovarian tumors as controls. Cell-free DNA extracted from plasma serum and quantified using Nanodrop Spectrophotometer.
J Comput Assist Tomogr
January 2025
Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT.
Background: Treatment-related changes may occur due to radiation and temozolomide in glioblastoma and can mimic tumor progression on conventional MRI. DCE-MRI enables quantification of the extent of blood-brain barrier (BBB) disruption, providing information about areas of suspicious postcontrast T1 enhancement. We compared DCE-MRI processing methods for distinguishing true disease progression from pseudoprogression in high-grade gliomas (HGGs).
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