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229 results for “Lamb”

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zenodo24/100

Database of feed efficiency indicators of intensive fattening lambs of sheep breeds in Latvia in 2nd trial (A23) with-in the framework of the project of the Latvian Council of Science LZP-2021/1-0489 project

<p><span>Project of The Latvian Council of Science (LCS) - LZP-2021/1-0489 project: &ldquo;<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>&rdquo;.</span></p> <p><span>The <strong>aim of the project</strong> is</span><span> to determine whether the feed efficiency status of <span>Latvian meat sheep breeds</span> could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent FE status in a training population of lambs when fed the same diet.</span></p> <p><strong><span>Novelty</span></strong><span>: to determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency - based on molecular and genetic markers obtained from the blood of live lambs. </span></p> <p><strong><span>About the project:</span></strong></p> <p><span>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two most significant components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development<span>.</span> <span>Feed efficiency </span>in growing lambs (i.e., the animal&rsquo;s ability to reach a market or adult body weight (BW) with the least feed intake) is a critical factor in the sheep industry. <span>Improving FE reduces production costs. Improving FE by 5% can bring economic benefits up to four times higher than a 5% increase in average daily gain (ADG).</span></span></p> <p><span>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in <span>feed efficiency </span>that they were used as part of a routine improvement program. According to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. <span>The physiological determinants of feed efficiency or putative biomarkers used to analyse animal-to-animal variation in live lambs could be a cost-effective and rapid tool for genetic selection or management decisions.</span></span></p> <p><strong><span>About the data of the project:</span></strong></p> <p><span>LZP-2021/1-0489 project data on lamb samples of the second year: 2023, or A23 group, which consists of 92 intensively fattened lambs from eight breeds, including LT breed, which were raised in the meadow and are semi-sibi lambs within the scope of the study.</span></p> <p><span>The database contains data on ultrasonography measurements of lambs during the beginning and end of fattening, intensive fattening data - actual and calculated on the 90th and 150th day, the amount of feed used and slaughter data. Ultrasonography data were used to calculate muscle and/or fat depth changes at the 13th rib during the fattening period.</span></p> <p><span><span>Based on the requirements of the breeding program of the breeds (LAAA, 2022), every year, the offspring of the sire ram, certified for breeding activity, are selected and analysed to estimate the sire rams.</span></span><span><span> </span></span><span><span>All lambs were born as twins, triplets or quadruplets from different ewes and health status was assessed before inclusion in the study so that there were at least two lambs per sire ram from the breed. This study was carried out in cooperation with the Latvian Sheep Breeders' Association </span></span><span>at<span> the ram breeding control station.</span></span></p> <p><strong><span>&nbsp;</span></strong></p> <p><span>The data is the<strong><span>&nbsp;joint property</span></strong>&nbsp;of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies.</span></p>

restrictedcc-by-4.0Nov 2024View details →
zenodo24/100

Database of biochemistry data of intensive fattening lambs of sheep breeds raised in Latvia in 2022 within the framework of project of the Latvian Council of Science: LZP-2021/1-0489

<p><span>Project of The Latvian Council of Science (LCS) - LZP-2021/1-0489 project: &ldquo;<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>&rdquo;.</span></p> <p><span>The <strong>aim of the project</strong> is</span><span> to determine whether the feed efficiency status of <span>Latvian meat sheep breeds</span> could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent FE status in a training population of lambs when fed the same diet.</span></p> <p><strong><span>Novelty</span></strong><span>: To determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency based on molecular and genetic markers obtained from the blood of live lambs. </span></p> <p><strong><span>About the project:</span></strong></p> <p><span>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two most significant components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development<span>.</span> <span>Feed efficiency </span>in growing lambs (i.e., the animal&rsquo;s ability to reach a market or adult body weight (BW) with the least feed intake) is a critical factor in the sheep industry. <span>Improving FE reduces production costs. Improving FE by 5% can bring economic benefits up to four times higher than a 5% increase in average daily gain (ADG).</span></span></p> <p><span>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in <span>feed efficiency </span>that they were used as part of a routine improvement program. According to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. <span>The physiological determinants of feed efficiency or putative biomarkers used to analyse animal-to-animal variation in live lambs could be a cost-effective and rapid tool for genetic selection or management decisions.</span></span></p> <p><strong><span>About the data of the project:</span></strong></p> <p><span>LZP-2021/1-0489 project data on lamb samples of the second year: 2023, or A23 group, which consists of 92 intensively fattened lambs from eight breeds, including the LT breed, which were raised in the meadow and are semi-sibi lambs within the scope of the study. The dataset includes data on biochemical indicators: Insulin-like growth factor 1, Insulin, Total thyroxine, Adrenocorticotropic hormone, Haematocrit, Hemoglobin, and Glucose. The blood samples for tests were taken before intensive fattening at a mean age of 92 days (interval from 64 to 109 days). Fattening starting age depends on body weight when lambs are separated from their mothers.</span></p> <p><span><span>Based on the requirements of the breeding program of the breeds (LAAA, 2022), every year, the offspring of the sire ram, certified for breeding activity, are selected and analysed to estimate the sire rams.</span></span><span><span> </span></span><span><span>All lambs were born as twins, triplets, or quadruplets from different ewes, and health status was assessed before inclusion in the study so that there were at least two lambs per sire ram from the breed. This study was carried out in cooperation with the Latvian Sheep Breeders' Association </span></span><span>at<span> the ram breeding control station. </span></span></p> <p><strong><span>&nbsp;</span></strong></p> <p><span>The data is the<strong><span>&nbsp;joint property</span></strong>&nbsp;of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies.</span></p>

restrictedcc-by-4.0Jul 2023View details →
zenodo24/100

Figure 3 from: Wang Y-L, Li Q, Toda MJ, Gao J-J (2021) The genus Dettopsomyia Lamb, 1914 (Diptera, Drosophilidae) from southern China. ZooKeys 1056: 73-94. https://doi.org/10.3897/zookeys.1056.56996

Figure 3 Geographical distribution of five newly described species in the genus Dettopsomyia.

opencc-by-4.0Aug 2021View details →
zenodo24/100

Figure 2 from: Wang Y-L, Li Q, Toda MJ, Gao J-J (2021) The genus Dettopsomyia Lamb, 1914 (Diptera, Drosophilidae) from southern China. ZooKeys 1056: 73-94. https://doi.org/10.3897/zookeys.1056.56996

Figure 2 Geographical distribution of the known species in the genus Dettopsomyia.

opencc-by-4.0Aug 2021View details →
zenodo24/100

Figure 10 from: Lamb T, Pollard R, Bond J (2013) Genetic variation corroborates subspecific delimitation in the Namib fog-basking beetle, Onymacris unguicularis (Haag) (Tenebrionidae, Coleoptera). ZooKeys 353: 47-60. https://doi.org/10.3897/zookeys.353.6228

Figure 10 - Landmarks for the geometric morphometric analysis of dorsal (elytral) shape.

opencc-by-4.0Nov 2013View details →
zenodo24/100

Lamb's problem for a half-space coupled to a generic distribution of oscillators at the surface

<p>Matlab codes related to the results in published journal paper:&nbsp;Lamb&rsquo;s problem for a half-space coupled to a generic distribution of oscillators at the surface (<a href="https://doi.org/10.1016/j.ijengsci.2021.103547">https://doi.org/10.1016/j.ijengsci.2021.103547</a>)</p>

opencc-by-4.0Jul 2021View details →
zenodo24/100

Microbial Deterioration of Portuguese Lamb Meat as Affected by Its Intrinsic Properties

<p>Recording of the talk &ldquo;Microbial Deterioration of Portuguese Lamb Meat as Affected by Its Intrinsic Properties&rdquo;, presented by Gisela Rodrigues at the 1st International Electronic Conference on Food Science and Functional Foods; MDPI Foods. Online virtual meeting (10-25 November 2020).</p>

opencc-by-4.0Nov 2020View details →
ClinicalTrials.gov24/100

To Evaluate the Efficacy and Safety of Vitamin B12 Contains Extract of Lamb's Stomach in Treatment of Chronic Atrophic Gastritis (CAG)

ClinicalTrials.gov study NCT01474044. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

LA Moms and Babies Study (LAMBS) for Nutrition and Growth

ClinicalTrials.gov study NCT02140879. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Liposomal Amphotericin B and Flucytosine Antifungal Strategy for Talaromycosis (LAmB-FAST)

ClinicalTrials.gov study NCT06525389. IPD Sharing: YES. Countries: 2. Publications: 0.

controlledIPD-YESFeb 2026View details →
geo24/100

Soybean molasses increases subcutaneous fat deposition while reducing lipid oxidation in the meat of castrated lambs

GEO Series GSE266406. Ovis aries. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2024View details →
geo24/100

RNA Sequencing of Semitendinosus Skeletal Muscle from Intrauterine Growth Restricted and Normally-Grown Near Term Sheep Fetuses and 30 day old Lambs

GEO Series GSE123929. Ovis aries. 20 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2023View details →
geo24/100

RNA Sequencing Analysis to evaluate essential oil dietary supplementation effects in lamb liver and muscle transcriptome

GEO Series GSE110550. Ovis aries. 32 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2018View details →
geo24/100

Detection of carbohydrate-active enzyme genes in the rumen of young lambs

GEO Series GSE122256. Butyrivibrio fibrisolvens; Ruminococcus flavefaciens; Piromyces communis; Pseudobacteroides cellulosolvens; Eudiplodinium maggii; Segatella bryantii; Acetivibrio clariflavus; uncultured Neocallimastigales; Selenomonas ruminantium; Lactococcus lactis; Clostridioides difficile; Ruminiclostridium cellulolyticum; Limosilactobacillus fermentum; Cellulomonas flavigena; Neocallimastix patriciarum; Bifidobacterium animalis; Agathobacter rectalis; Enterobacter sp.; Orpinomyces joyonii; Piromyces rhizinflatus; Piromyces sp. 'equi'; Pseudobutyrivibrio xylanivorans; Bifidobacterium longum; Bacteroides thetaiotaomicron; Fibrobacter succinogenes; Clostridium cellulovorans; Bifidobacterium adolescentis; Cellulomonas fimi; Neocallimastix frontalis; [Eubacterium] cellulosolvens; Lachnospira eligens; Ruminococcus sp.; Piromyces sp.; Roseburia intestinalis; Roseburia hominis; Bacteroides fragilis; Xylanibacter ruminicola; Ruminococcus albus; Enterococcus faecium; Clostridium acetobu

openGEO-OpenOct 2019View details →
geo24/100

Transcriptome profiling of multi-chambered stomachs in developing lambs

GEO Series GSE200295. Ovis aries. 24 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2024View details →
geo24/100

Short and mid-term effects on performance, health and qualitative behavioural assessment in Romane lambs in different milk feeding conditions

GEO Series GSE131763. Ovis aries. 32 samples. Type: Expression profiling by array.

openGEO-OpenNov 2020View details →
geo20/100

Analysis of gene expression during the onset of muscle hypertrophy in callipyge lambs: time course

GEO Series GSE5195. Bos taurus; Ovis aries. 12 samples. Type: Expression profiling by array.

openGEO-OpenSep 2006View details →
geo20/100

Liver transcriptomic and proteomic profiles of preweaning lambs are modified by milk replacer restriction

GEO Series GSE110192. Ovis aries. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2018View details →
geo20/100

Muscle gene expression of lambs with maternal callipyge allele

GEO Series GSE11780. Bos taurus; Ovis aries. 44 samples. Type: Expression profiling by array.

openGEO-OpenJun 2009View details →
geo20/100

Longissimus Thoracis and subcutaneous fat transcriptome study in lambs

GEO Series GSE63774. Ovis aries. 42 samples. Type: Expression profiling by array.

openGEO-OpenDec 2016View details →

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