The aim of the present study was to evaluate the effects of imported semen of Holstein bulls from different countries on the economic traits of their daughters using the Lifetime Net Income (LNI) index in various climates of Iran. The data included the first lactation records of 274,057 Holstein cows collected during 1993 to 2017 by the Animal Breeding Center of Iran from 10 large dairy farms located in various provinces of Iran. The investigated traits included milk, fat and protein yields, calving age and calving interval. Breeding values of progenies were predicted by the Best Linear Unbiased Prediction (BLUP) method under the multi-trait animal model using DMU software. The genetic-economic merit of the progenies was estimated by the LNI index. There were significant differences between the estimated breeding values (EBVs) of sire groups (based on bull semen origin) for milk, fat and protein yields, calving age and calving interval in each climate (p < 0.01). The obtained results showed that the highest least-square means of LNI index in semi-cold, moderate and warm climates belonged to the daughters of French sires; however, daughters of German sires were estimated to have the highest least-square means in the cold climate.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653833 | PMC |
http://dx.doi.org/10.3390/ani12213054 | DOI Listing |
Int J Biol Sci
January 2025
Gastric Cancer Center, Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Chemoresistance severely deteriorates the prognosis of advanced gastric cancer (GC) patients. Several studies demonstrated that (HP)-positive GC patients showed better outcomes after receiving chemotherapy than HP-negative ones. This study aims to confirm the role of HP in GC chemotherapy and to study the underlying mechanisms.
View Article and Find Full Text PDFInt J Biol Sci
January 2025
Department of Hematology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Chemoresistance is an important factor in multiple myeloma (MM) relapse and overall survival. However, the mechanism underlying resistance remains unclear. In this study, we identified adenine nucleotide translocase 3 (ANT3) as a novel biomarker and therapeutic target for MM progression and resistance to the proteasome inhibitor bortezomib (BTZ).
View Article and Find Full Text PDFPLoS One
December 2024
Energy Engineering Department, Sharif University of Technology, Tehran, Iran.
One of the actions taken to mitigate the climate change is research, development and demonstration (RD&D) investments in renewable energy (RE) technology. In addition to domestic RD&D spending, the import of foreign technologies, as a main channel of technology transfer, is another option to obtain higher share of renewable energies in order to achieve climate objectives. In this study, a panel dataset of 28 OECD member countries from 2011 to 2020 is analyzed, using the OLS, fixed-effects, and two-step system GMM methods, to assess the impacts of public spending on renewable energy RD&D (RERD) and the import of renewable energy technologies on the energy-related CO2 emissions.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Department of Biochemistry, University of Illinois, Urbana, IL 61801.
Infections caused by gram-negative pathogens continue to be a major risk to human health because of the innate antibiotic resistance endowed by their unique cell membrane architecture. Nature has developed an elegant solution to target gram-negative strains, namely by conjugating toxic antibiotic warheads to a suitable carrier to facilitate the active import of the drug to a specific target organism. Microcin C7 (McC) is a Trojan horse peptide-conjugated antibiotic that specifically targets enterobacteria by exploiting active import through oligopeptide transport systems.
View Article and Find Full Text PDFFront Robot AI
December 2024
Robot Learning Laboratory, Instituto de Ciências Matemáticas e de Computação (ICMC), University of São Paulo (USP), SãoCarlos, Brazil.
Research on social assistive robots in education faces many challenges that extend beyond technical issues. On one hand, hardware and software limitations, such as algorithm accuracy in real-world applications, render this approach difficult for daily use. On the other hand, there are human factors that need addressing as well, such as student motivations and expectations toward the robot, teachers' time management and lack of knowledge to deal with such technologies, and effective communication between experimenters and stakeholders.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!