Metabolic demands of modern hybrid sows have increased over the years, which increases the chance that sows enter a substantial negative energy balance (NEB) during lactation. This NEB can negatively impact reproductive outcome, which is especially evident in primiparous sows causing a reduced second parity reproductive performance. The negative effects of the lactational NEB on reproductive performance can be partly explained by the influence of the premating metabolic state, during and after lactation, on the development of follicles from which oocytes will give rise to the next litter. In addition, the degree and type of body tissue mobilization during lactation that is, adipose tissue or lean mass, highly influences follicular development. Research investigating relations between the premating metabolic state and follicular and oocyte competence in modern hybrid sows, which experience higher metabolic demands during lactation, is limited. In this review we summarize current knowledge of physiological relations between the metabolic state of modern hybrid sows and follicular developmental competence. In addition, we discuss potential implications of these relations for current sow management strategies.

Download full-text PDF

Source
http://dx.doi.org/10.1002/mrd.23628DOI Listing

Publication Analysis

Top Keywords

modern hybrid
12
hybrid sows
12
metabolic state
12
follicular developmental
8
developmental competence
8
metabolic demands
8
reproductive performance
8
premating metabolic
8
metabolic
5
sows
5

Similar Publications

Technological advances in clinical individualized medication for cancer therapy: from genes to whole organism.

Per Med

January 2025

Department of Clinical Pharmacy, Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Efforts have been made to leverage technology to accurately identify tumor characteristics and predict how each cancer patient may respond to medications. This involves collecting data from various sources such as genomic data, histological information, functional drug profiling, and drug metabolism using techniques like polymerase chain reaction, sanger sequencing, next-generation sequencing, fluorescence in situ hybridization, immunohistochemistry staining, patient-derived tumor xenograft models, patient-derived organoid models, and therapeutic drug monitoring. The utilization of diverse detection technologies in clinical practice has made "individualized treatment" possible, but the desired level of accuracy has not been fully attained yet.

View Article and Find Full Text PDF

Background: Rural School Support Strategies (RS3) is a bundle of implementation supports (including training, technical assistance, and a virtual learning collaborative) designed for the scale-up of universal prevention initiatives. This study addresses mechanisms of action, exploring whether positive effects of RS3 on implementation fidelity are attributable to improvements in functioning of school implementation teams, and increases in organizational readiness.

Methods: Data are from a cluster-randomized hybrid Type 3 implementation-effectiveness trial of RS3 among rural Idaho schools implementing Positive Behavioral Interventions and Supports (PBIS).

View Article and Find Full Text PDF

Foundational artificial intelligence models and modern medical practice.

BJR Artif Intell

January 2025

Machine and Hybrid Intelligence Lab, Department of Radiology, Northwestern University, Chicago, IL 60611, United States.

Our opinion piece pays homage to the evolution of medical practices, tracing back to the era of Hippocrates, through significant historical milestones, and drawing parallels with the principles underpinning foundational artificial intelligence (AI) models. It emphasizes the shared ethos of both domains: a commitment to comprehensive care that values diverse data integration and individualized patient treatment. The excitement surrounding foundation models in medical imaging is understandable.

View Article and Find Full Text PDF

A Moldable, Tough Mineral-Dominated Nanocomposite as a Recyclable Structural Material.

Small

January 2025

School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, Tianjin University, Tianjin, 300072, P. R. China.

Flexible hybrid minerals, primarily composed of inorganic ionic crystal nanolines and a small amount of organic molecules, have significant potential for the development of sustainable structural materials. However, the weak interactions and insufficient crosslinking among the inorganic nanolines limit the mechanical enhancement and application of these hybrid minerals in high-strength structural materials. Inspired by tough biominerals and modern reinforced concrete structures, this study proposes introducing an aramid nanofiber (ANF) network as a flexible framework during the polymerization of calcium phosphate oligomers (CPO), crosslinked by polyvinyl alcohol (PVA) and sodium alginate (SA).

View Article and Find Full Text PDF

HTT1, a Stearoyl-Acyl Carrier Protein Desaturase Involved Unsaturated Fatty Acid Biosynthesis, Affects Rice Heat Tolerance.

Plant Cell Environ

January 2025

Chongqing Key Laboratory of Crop Molecular Improvement, Rice Research Institute, Academy of Agricultural Sciences, Southwest University, Chongqing, China.

Elucidating the mechanisms underlying heat tolerance in rice (Oryza Sativa. L) is vital for adapting this crop to rising global temperature while increasing yields. Here, we identified a rice mutant, high temperature tolerance 1 (htt1), with high survival rates under heat stress.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!