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	<title>Duroc &#8211; Science</title>
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	<title>Duroc &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>Genomic Inbreeding Leaves Measurable Fingerprints on Pig Production Traits</title>
		<link>https://scienmag.com/genomic-inbreeding-leaves-measurable-fingerprints-on-pig-production-traits/</link>
		
		<dc:creator><![CDATA[Juliet Wilcox]]></dc:creator>
		<pubDate>Sun, 04 Oct 2026 11:33:27 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[animal breeding]]></category>
		<category><![CDATA[autozygosity]]></category>
		<category><![CDATA[autozygosity effects on pig traits]]></category>
		<category><![CDATA[DNA inheritance patterns in pigs]]></category>
		<category><![CDATA[Duroc]]></category>
		<category><![CDATA[FROH]]></category>
		<category><![CDATA[genetic diversity in American pig breeds]]></category>
		<category><![CDATA[genetic fingerprints in pig genomes]]></category>
		<category><![CDATA[genetic impact on pig growth and conformation]]></category>
		<category><![CDATA[genomic inbreeding]]></category>
		<category><![CDATA[genomic inbreeding in livestock]]></category>
		<category><![CDATA[genomic mapping of pig breeds]]></category>
		<category><![CDATA[genomic selection]]></category>
		<category><![CDATA[inbreeding and livestock productivity]]></category>
		<category><![CDATA[influence of autozygosity on pig economics]]></category>
		<category><![CDATA[landrace]]></category>
		<category><![CDATA[long-term effects of inbreeding on pig production]]></category>
		<category><![CDATA[pigs]]></category>
		<category><![CDATA[production traits]]></category>
		<category><![CDATA[quantitative genetics]]></category>
		<category><![CDATA[runs of homozygosity]]></category>
		<category><![CDATA[runs of homozygosity in pigs]]></category>
		<category><![CDATA[systematic genomic study of pigs]]></category>
		<category><![CDATA[Yorkshire]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=234794</guid>

					<description><![CDATA[A genomic analysis of 5,859 commercial pigs reveals that runs of homozygosity, a DNA-based measure of inbreeding, are associated with production traits in patterns that differ across Duroc, Landrace, and Yorkshire populations.]]></description>
										<content:encoded><![CDATA[<p>Every genome carries a hidden archive of its own history, and in livestock that archive is written in long stretches of DNA inherited identically from both parents. A new genomic study of nearly six thousand commercial pigs has now mapped those stretches in unprecedented detail across three of the world&#8217;s most important breeds, and found that the burden of this inherited sameness, known scientifically as autozygosity, is not distributed evenly among them, nor does it affect their economically vital production traits in the same way. The research, published in BMC Genomics, offers one of the most systematic looks to date at how genomic inbreeding shapes growth and body conformation in American Duroc, American Landrace, and American Yorkshire populations.</p>
<p>The study, led by Chang Huang, Zhiyuan Ren, and Nengshui Ding of Jiangxi Agricultural University together with colleagues at Aonong Group and Jiangxi Science and Technology Normal University, focused on runs of homozygosity, or ROH. These are continuous segments of the genome in which an animal carries two identical copies of the same ancestral DNA sequence, one from each parent. When two parents share recent common ancestors, their offspring are likely to inherit matching segments on both sides, producing these long homozygous tracts. Because their length reflects how far back in the pedigree the shared ancestor lived, ROH provide a genome-wide, DNA-level measure of inbreeding that is often more accurate and more informative than traditional pedigree-based estimates, which depend on complete and accurate record keeping that commercial herds rarely have.</p>
<p>To capture this signal, the team analyzed genotypes from 5,859 pigs after stringent quality control, drawn from the three American breed populations. They defined ROH as segments of at least one megabase, one million DNA letters, and restricted their search to autosomes 1 through 18, excluding the sex chromosomes to keep the analysis comparable across males and females. Across all animals they detected a remarkable 416,225 individual ROH segments. That sheer number illustrates how pervasive autozygosity is in commercial breeding populations, where decades of selection for lean growth, litter size, and carcass quality have reshaped the genome through both deliberate selection and the unavoidable relatedness that accumulates in closed breeding lines.</p>
<p>One of the clearest findings was that the three breeds differ in their overall ROH burden. American Duroc pigs showed the highest individual-level ROH of the three populations. This pattern is consistent with the breeding structure of terminal sire lines, which are often maintained in relatively small nucleus herds under intense selection for growth and meat quality, conditions that tend to concentrate ancestral haplotypes. Landrace and Yorkshire, maternal breeds selected primarily for reproductive performance, showed different ROH architectures. The differences among breeds matter because they suggest that the historical sources of inbreeding, whether from small effective population sizes, founder effects, or selection sweeps, have acted with different intensities in each genetic line.</p>
<p>The heart of the study, however, lay in asking whether this autozygosity has consequences that can be measured in the barn. The researchers computed for each animal a genomic inbreeding coefficient, FROH, defined as the proportion of the autosomal genome covered by ROH. They then tested whether FROH was associated with a panel of production-related traits, using mixed statistical models that included a genomic relationship matrix. This matrix accounts for the ordinary kinship among all animals in the dataset, a crucial control, because relatives resemble each other both genetically and phenotypically for reasons that have nothing to do with inbreeding per se. Without this correction, any association between FROH and a trait could simply reflect family structure rather than the specific effect of homozygous segments.</p>
<p>Across 51 population-by-trait tests, the team identified 19 nominally significant associations between FROH and production traits at a probability threshold of 0.05. Thirteen of these survived correction for the false discovery rate using the Benjamini-Hochberg procedure, a statistical safeguard that limits the expected proportion of false positives among the declared findings. The pattern of surviving associations was strikingly uneven. American Landrace showed the broadest set of FDR-supported associations, Duroc had fewer, and in Yorkshire the nominal associations were restricted to body length and body height, with only the body height association holding up after correction. This breed-by-breed heterogeneity is the study&#8217;s central message: the genomic consequences of inbreeding are not a universal constant but depend on which population is being examined and which trait is being measured.</p>
<p>Why should different breeds show different inbreeding effects? The likely explanation lies in the concept of inbreeding load. Recessive deleterious variants are scattered across every genome, but their identity and genomic location differ among populations, shaped by each breed&#8217;s unique history of selection and drift. When autozygous segments arise, they expose whatever recessive variants happen to lie within them. If a breed&#8217;s deleterious burden happens to overlap regions influencing, say, body length or backfat, inbreeding will depress those particular traits. If the burden lies elsewhere, different traits will suffer. The population-specific associations observed here are exactly what this model predicts, and they argue strongly against a one-size-fits-all approach to managing inbreeding in multi-breed breeding programs.</p>
<p>The study also probed two more subtle questions. First, the researchers asked whether the effect of FROH differed between males and females, testing FROH-by-sex interactions. They found 45 estimable interaction tests, with some nominally significant results in Duroc, but none of these survived false discovery rate correction, meaning the evidence for sex-specific inbreeding effects remains tentative at best. Second, they used segmented regression models to look for thresholds, points beyond which additional autozygosity might cause a disproportionate decline in performance. Here they detected 25 nominally significant threshold responses, but again none survived FDR correction, with the smallest corrected value reaching 0.118. Importantly, the candidate breakpoints suggested by these exploratory analyses differed by population, trait, and ROH length class, hinting that if true thresholds exist, they are not universal values but properties of each population&#8217;s genome.</p>
<p>The distinction between ROH length classes deserves attention because it carries biological meaning. Short ROH reflect ancient shared ancestors, often reaching back many generations or even to the founding of the breed, while long ROH flag recent inbreeding, typically within the last few generations. Long ROH are therefore the ones most responsive to current mating decisions. The observation that associations and candidate thresholds varied across length classes suggests that old and new inbreeding may contribute differently to trait variation, a finding that could eventually help breeders distinguish the inbreeding they can control through mating plans from the legacy burden embedded in the breed&#8217;s history.</p>
<p>For the pork industry, the practical implications are concrete. Genomic inbreeding coefficients computed from routine SNP chip data could be incorporated into selection indices and mate allocation algorithms, allowing breeding companies to balance genetic gain against the accumulation of autozygosity on a population-specific basis. Rather than imposing a generic inbreeding ceiling, programs could weight the traits that are demonstrably sensitive to FROH in each line. The authors note that their findings provide a basis for population-specific evaluation of inbreeding load and for improving genomic management strategies in commercial pig breeding. As genomic selection accelerates the rate of genetic change, it also accelerates the loss of genetic diversity, making tools that measure and manage autozygosity directly from DNA increasingly essential. This study demonstrates both the promise of that approach and the statistical caution needed to interpret it: the strongest signals are real and breed-specific, while the more tantalizing patterns of sex effects and inbreeding thresholds remain, for now, hypotheses for larger datasets to test.</p>
<p><strong>Subject of Research:</strong> Associations between runs of homozygosity-based genomic inbreeding and production traits in three commercial pig populations</p>
<p><strong>Article Title:</strong> Runs of homozygosity reveal associations between autozygosity and production traits in three commercial pig populations</p>
<p><strong>Article References:</strong> Huang, C., Ren, Z., Yang, W., Meng, Q., Wu, G., Chen, H., &amp; Ding, N. (2026). Runs of homozygosity reveal associations between autozygosity and production traits in three commercial pig populations. <em>BMC Genomics</em>. <a href="https://doi.org/10.1186/s12864-026-13326-1" rel="noopener noreferrer">https://doi.org/10.1186/s12864-026-13326-1</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1186/s12864-026-13326-1" rel="noopener noreferrer">10.1186/s12864-026-13326-1</a></p>
<p><strong>Keywords:</strong> runs of homozygosity, autozygosity, genomic inbreeding, pigs, Duroc, Landrace, Yorkshire, production traits, FROH, genomic selection, animal breeding, quantitative genetics</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">234794</post-id>	</item>
		<item>
		<title>Why Duroc Pork Turns Tender on the Grill: Fatty Acids Hold the Answer</title>
		<link>https://scienmag.com/why-duroc-pork-turns-tender-on-the-grill-fatty-acids-hold-the-answer/</link>
		
		<dc:creator><![CDATA[Alan Morgan]]></dc:creator>
		<pubDate>Thu, 03 Sep 2026 16:29:24 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[breed differences in pork quality]]></category>
		<category><![CDATA[connective tissue behavior in pork]]></category>
		<category><![CDATA[cooked meat texture]]></category>
		<category><![CDATA[cooking loss]]></category>
		<category><![CDATA[Duroc]]></category>
		<category><![CDATA[Duroc pork tenderness]]></category>
		<category><![CDATA[effects of fatty acids on meat juiciness]]></category>
		<category><![CDATA[fatty acid composition]]></category>
		<category><![CDATA[fatty acids in meat]]></category>
		<category><![CDATA[impact of fatty acids on meat chewiness]]></category>
		<category><![CDATA[influence of fat composition on meat quality]]></category>
		<category><![CDATA[intramuscular fat]]></category>
		<category><![CDATA[lipid melting]]></category>
		<category><![CDATA[meat protein denaturation]]></category>
		<category><![CDATA[Meat Quality]]></category>
		<category><![CDATA[meat science and texture]]></category>
		<category><![CDATA[pig breeds]]></category>
		<category><![CDATA[pork cooking and grilling techniques]]></category>
		<category><![CDATA[pork industry breed comparisons]]></category>
		<category><![CDATA[pork loin]]></category>
		<category><![CDATA[predictive meat tenderness factors]]></category>
		<category><![CDATA[regression analysis]]></category>
		<category><![CDATA[saturated fatty acids]]></category>
		<category><![CDATA[texture profile analysis]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=186426</guid>

					<description><![CDATA[A Korean study of Landrace, Yorkshire, and Duroc pigs shows that breed-driven differences in fatty acid composition, especially saturated fatty acids, strongly predict the texture of cooked pork loin.]]></description>
										<content:encoded><![CDATA[<p>Every cook knows the frustration: two pork loins, cooked the same way, can emerge from the heat with completely different personalities. One slices up juicy and yielding, the other resists the knife and demands a serious chewing workout. For decades, meat scientists have attributed these differences mainly to protein denaturation and connective tissue behavior during heating. Now a study from Gyeongsang National University in South Korea adds a surprising new character to the story: the specific fatty acids embedded in the meat&#8217;s fat, which appear to shape the texture of cooked pork so strongly that they could serve as predictors of how a chop will eat before it ever touches the grill.</p>
<p>The research, published in Food Science of Animal Resources, compared loin muscles from three foundational breeds of the global pork industry: Landrace, Yorkshire, and Duroc. Ninety pigs raised under identical conditions on the same farm in Yeonggwang-gun, Korea, were slaughtered at a live weight of 120 plus or minus 10 kilograms. Twenty Landrace, fifty Yorkshire, and twenty Duroc animals contributed loin samples, which were excised between the tenth and eleventh ribs after chilling for 24 hours postmortem. By raising all animals on one farm under standardized conditions for roughly 180 days, the team controlled for the environmental noise, diet, and management differences that often confound breed comparisons.</p>
<p>The analytical program was thorough. Proximate composition was measured by standard AOAC methods, with crude fat determined through the classic Folch extraction using chloroform and methanol. The researchers measured pH in homogenized loin samples with a calibrated meter, recorded backfat thickness between the tenth and eleventh ribs, and quantified total collagen by acid hydrolysis followed by a colorimetric hydroxyproline assay read at 558 nanometers. Cooking loss, a practical proxy for water-holding capacity, was assessed by grilling trimmed loins on an electric grill at 200 plus or minus 10 degrees Celsius until the internal temperature reached 70 degrees, then weighing before and after. Texture was evaluated with texture profile analysis using a Shimadzu EZ-SX fitted with a flat-ended cylindrical probe, compressing one-centimeter cubes twice to 50 percent of their original height with muscle fibers oriented perpendicular to the probe.</p>
<p>Fatty acid composition demanded the most elaborate chemistry. Crude fat was extracted, saponified with sodium hydroxide in methanol at 75 degrees Celsius, and methylated with boron trifluoride at 85 degrees. The resulting fatty acid methyl esters were separated on a 100-meter Supelco SP-2560 capillary column in an Agilent 6890N gas chromatograph, with peaks identified against a 37-component standard mixture and quantified as fatty acid content per gram of sample. Statistical treatment used a mixed model with breed as a fixed effect and individual animal as a random effect, followed by regression analysis in which individual fatty acids served as explanatory variables for texture parameters such as hardness, cohesiveness, and chewiness.</p>
<p>The breed differences were pronounced. Duroc loins carried the most crude fat, the thickest backfat at 2.57 centimeters, the highest pH at 5.71, and the lowest total collagen content, while Landrace showed the opposite profile with the least fat, thinnest backfat at 1.95 centimeters, the lowest pH at 5.51, the most collagen, and the greatest cooking loss. Yorkshire fell between the two extremes on nearly every trait. Crude protein ran inversely to fat, highest in Landrace and lowest in Duroc. These patterns echo long-standing observations that Duroc pigs deposit lipid more aggressively than the maternal breeds that anchor most commercial crossbreeding programs.</p>
<p>The texture results delivered the study&#8217;s most striking twist. In fresh meat, Duroc loin was the firmest and chewiest of the three breeds, consistent with its dense fat deposition. But after cooking, the ranking flipped completely: Duroc showed the lowest hardness, cohesiveness, and chewiness, while Landrace, the softest breed raw, became the toughest on the plate. This reversal means that a breed&#8217;s reputation for fresh-meat firmness says almost nothing about how it will behave in the pan, and it pointed the investigators squarely toward the changing physical state of fat during heating as the missing explanatory factor.</p>
<p>Fatty acid analysis supplied that factor. Duroc carried significantly higher levels of total fatty acids, saturated fatty acids including C10:0, C14:0, C16:0, C20:0, and C22:0, and the monounsaturated C16:1 than the other breeds, both raw and cooked. Because saturated and monounsaturated fatty acids accumulate in proportion to lipid deposition while polyunsaturated fatty acids do not, faster-fatting breeds like Duroc naturally build a more saturated lipid profile. Saturated fatty acids have relatively high melting points and remain solid or semi-solid at room temperature, which helps explain why Duroc felt firm raw. Yet during cooking, when muscle temperatures cross the melting ranges of these lipids, the picture changes dramatically.</p>
<p>The regression analysis quantified the connection. In fresh meat, total fatty acids, saturated fatty acids, C10:0, C14:0, C18:0, monounsaturated fatty acids, C16:1, C18:1 cis, and C18:3 n-3 all showed significant negative relationships with the hardness of cooked meat, most with R-squared values above 0.20. In cooked meat, hardness fell as C10:0, C12:0, C14:0, C16:1, C18:1 cis, and C18:3 n-3 rose, while cohesiveness and chewiness declined with saturated fatty acids, C12:0, C16:0, and C14:1. Given the notoriously high biological variability of meat texture, single variables explaining more than a fifth of the variance is remarkable, and the consistent appearance of saturated fatty acids in both fresh-based and cooked-based models suggests a persistent, mechanistically real effect rather than statistical coincidence.</p>
<p>The proposed mechanism hinges on timing. Myosin denatures at roughly 60 to 65 degrees Celsius, collagen begins shrinking near 57 degrees, denatures around 64 degrees, and melts above 70 degrees into gelatin, and the melting ranges of meat&#8217;s saturated fatty acids overlap this same thermal window. As proteins denature and connective tissue transforms, melted lipids can redistribute through the protein matrix, lubricating structures and lowering resistance to compression. Meanwhile C16:1, with a melting point below 1 degree Celsius, stays liquid throughout, increasing lipid mobility in the cooked product. In effect, protein denaturation, collagen transformation, and lipid melting proceed concurrently, and the breed-specific fatty acid mix determines how much lubrication the solidifying protein network receives.</p>
<p>The practical implications reach from breeding programs to dinner plates. If fatty acid profiles predict cooked texture, then selecting breeding stock for lipid composition, not just growth rate, could steer eating quality in predictable directions, and a simple fatty acid assay on fresh loin could forecast how a cut will perform after cooking. The authors caution that cooking conditions, lipid microstructure, and protein-lipid interactions deserve deeper study before the approach becomes an industry tool. But the core message stands: the tenderness of a grilled pork chop is written partly in its fat chemistry, and breed is the pen.</p>
<p>The three breeds examined in the study occupy distinct roles in commercial pig production. Landrace and Yorkshire are maternal breeds, valued for litter size and mothering ability, while Duroc is typically used as a terminal sire to inject growth rate and leanness into crossbred market hogs. This division of labor means that most pork reaching consumers comes from animals carrying mixtures of these genetic lines, so understanding how each breed contributes lipid characteristics to the final carcass has direct relevance for crossbreeding system design.</p>
<p>The statistical framework deserves some elaboration. By treating breed as a fixed effect and individual animal as a random effect in a mixed model, the researchers accounted for the fact that pigs within a breed are not identical clones; this partitions variance attributable to genetics from background biological noise. Least-squares means then allow fair comparisons across breeds even when group sizes differ, as they did here with fifty Yorkshire animals against twenty each of the others. The Tukey-Kramer test applied afterward guards against the inflated false-positive risk that arises when making multiple pairwise comparisons simultaneously.</p>
<p>Texture profile analysis itself has a long pedigree in food science. The double-compression protocol traces back to work formalized by Bourne in the late 1970s, and the parameters it yields, including hardness, cohesiveness, and chewiness, remain the standard vocabulary for describing mechanical eating behavior. Compressing cubes to half their original height with fibers perpendicular to the probe standardizes the test so that results reflect the material properties of the muscle rather than geometry or fiber orientation artifacts.</p>
<p>The collagen measurement also rewards attention. Total collagen was estimated through hydroxyproline, an amino acid found almost exclusively in collagen, after acid hydrolysis released it from the protein. Because collagen undergoes dramatic thermal shrinkage and gelatinization during cooking, differences in baseline collagen among breeds could plausibly interact with lipid effects on cooked texture, and the finding that Duroc carried the least collagen while becoming the most tender after cooking fits coherently within the proposed lipid-lubrication mechanism.</p>
<p>Beyond eating quality, the compositional differences carry nutritional weight. Higher saturated fatty acid levels in Duroc loin intersect with longstanding dietary guidance recommending limits on saturated fat intake, while greater proportions of polyunsaturated fatty acids in leaner breeds offer a modestly different lipid profile for health-conscious consumers. Any breeding strategy tuned toward texture prediction would therefore need to balance palatability gains against nutritional considerations, a tension the authors acknowledge implicitly by framing fatty acid composition as a predictive indicator rather than a straightforward optimization target.</p>
<p>Finally, the open-access publication of the full dataset and methods means that other research groups can attempt to replicate the regression relationships in different production systems, feeding regimes, and pig populations, which will determine whether breed-linked fatty acid signatures hold up as a general forecasting tool or remain specific to the conditions of this Korean study.</p>
<p><strong>Subject of Research:</strong> Breed-related fatty acid composition and its relationship to the texture of cooked pork loin</p>
<p><strong>Article Title:</strong> Effects of breed differences in meat quality traits and fatty acid composition on the physical properties of cooked pork loin</p>
<p><strong>Article References:</strong> Jeong, K.-J., Park, Y.-S., Eom, J.-U., Seo, J.-K., &amp; Yang, H.-S. (2026). Effects of breed differences in meat quality traits and fatty acid composition on the physical properties of cooked pork loin. <em>Food Science of Animal Resources, 46</em>(1), Article 99. <a href="https://doi.org/10.1007/s44463-026-00106-4" rel="noopener noreferrer">https://doi.org/10.1007/s44463-026-00106-4</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44463-026-00106-4" rel="noopener noreferrer">10.1007/s44463-026-00106-4</a></p>
<p><strong>Keywords:</strong> pork loin, pig breeds, fatty acid composition, saturated fatty acids, cooked meat texture, texture profile analysis, Duroc, intramuscular fat, cooking loss, regression analysis, meat quality, lipid melting</p>
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