Journal of Animal Breeding and Genetics最新文献

{"title":"Genetic Parameters for Novel Feedlot Profitability-Related Traits in Nelore Cattle","authors":"Letícia Pereira,&nbsp;Fernando Baldi,&nbsp;Guilherme Jordão Magalhães Rosa,&nbsp;José Bento Sterman Ferraz,&nbsp;Tiago Zanett Albertini,&nbsp;Minos Carvalho,&nbsp;Raysildo Barbosa Lobo,&nbsp;Eduardo da Costa Eifert,&nbsp;Elisa Peripolli,&nbsp;Cláudio Ulhôa Magnabosco","doi":"10.1111/jbg.70031","DOIUrl":"10.1111/jbg.70031","url":null,"abstract":"<p>This study aimed to estimate (co)variance components and genetic parameters for accumulated profitability (AFP) and profit per kilogram of liveweight gain (PFT), and their relationships with weight at 450 days of age (W450), scrotal circumference at 365 days of age (SC365), age at first calving (AFC), probability of precocious calving at 30 months of age (PPC30), age at puberty in males (APM), stayability (STAY), accumulated cow productivity (ACP), rib eye area (REA), rump fat thickness (RFT), residual feed intake (RFI), dry-matter intake (DMI), residual live weight gain (RG), and frame score (FRAME). Data of profitability from 3614 Nelore (<i>Bos indicus</i>) animals were used. The (co)variance components and genetic parameters were estimated using Bayesian inference in a multi-trait animal model. The heritability estimates for AFP and PFT were 0.18 and 0.02, respectively. AFP and PFT exhibited moderate to high genetic correlations with growth traits (0.64 to 0.65), carcass (0.43 to 0.44), feed efficiency (0.72 to 0.88), and frame (0.44 to 0.77), except for the correlation with RFT (−0.10 to −0.68), RFI (−0.23 to 0.28), and between PFT and DMI (0.26). Low to high genetic correlations (−0.47 to 0.76) with female reproductive traits and low correlations (−0.03 to −0.21) with male reproductive traits were observed for both traits. These results provide important information for improving economic performance by including complementary AFP and PFT tools in the selection criteria. Such traits can be strategic tools for producers when identifying animals with greater genetic potential for profitability, supporting decision-making in genetic planning and herd management.</p>","PeriodicalId":54885,"journal":{"name":"Journal of Animal Breeding and Genetics","volume":"143 3","pages":"411-421"},"PeriodicalIF":1.9,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13054126/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145551809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genomic Prediction Ability Using Linear and Threshold Approaches for Different Stayability Definitions in Nellore Females","authors":"Letícia Silva Pereira,&nbsp;Larissa Bordin Temp,&nbsp;Eduarda da Silva Oliveira,&nbsp;Jorge Hidalgo,&nbsp;Cláudio Ulhoa Magnabosco,&nbsp;Fernando Baldi","doi":"10.1111/jbg.70033","DOIUrl":"10.1111/jbg.70033","url":null,"abstract":"<p>Enhancing female longevity through regular calvings improves herd replacement rates and reduces the costs associated with replacing low reproductive efficiency animals. Stayability (STAY), defined as a cow's ability to remain productive in the herd, is a categorical trait that challenges traditional genetic evaluation due to its non-normal distribution. This study aimed to estimate genomic predictions for different STAY definitions—based on the number of calvings at specific ages in Nellore females—and to compare the predictive ability of linear and threshold models using the linear regression (LR) method. Phenotypic and genotypic data from 187 herds provided by the Nellore Brazil breeding program (ANCP, Ribeirão Preto, Brazil) were used. Four STAY definitions (STAY48-2, STAY48-3, STAY54-2, STAY54-3, STAY72-3) were evaluated. Genomic estimated breeding values (GEBV) were obtained using univariate linear and threshold models implemented in the BLUPF90 software family. Variance components were transformed from liability to observed scale. Heritability estimates ranged from 0.16 to 0.22 on the liability scale and 0.07 to 0.09 on the observed scale. Threshold models showed superior predictive ability compared to linear models, with higher accuracies (0.531 to 0.698 vs. 0.451 to 0.532), lower bias (−0.0004 to 0.008 vs. 0.027 to 0.096) and dispersion values closer to the ideal (0.932 to 1.000 vs. 0.811 to 0.848). Among the definitions, STAY48 with at least two or three calvings demonstrated the most consistent performance, representing a promising criterion for genetic evaluation in Nellore cattle.</p>","PeriodicalId":54885,"journal":{"name":"Journal of Animal Breeding and Genetics","volume":"143 3","pages":"457-464"},"PeriodicalIF":1.9,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13054113/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145643170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stayability in the Era of Early-Challenged Females: Genetic Parameters and Correlations With Economically Relevant Traits","authors":"Letícia Silva Pereira,&nbsp;Larissa Bordin Temp,&nbsp;Gabriel Gubiani,&nbsp;Miller Teodoro,&nbsp;Cláudio Ulhoa Magnabosco,&nbsp;Fernando Baldi","doi":"10.1111/jbg.70026","DOIUrl":"10.1111/jbg.70026","url":null,"abstract":"<p>This study aimed to estimate the variance components, heritabilities and genetic correlations between four new different categories of stayability (STAY48-2, STAY48-3, STAY54-2, STAY54-3) with weight at 240 days of age (W240), weight at 450 days of age (W450), scrotal circumference at 365 days of age (SC365), age at puberty in males (APM), traditional stayability (STAY72), probability of precocious calving at 30 months of age (PPC30), ribeye area (REA), rump fat thickness (RFT), residual feed intake (RFI), dry-matter intake (DMI), residual live weight gain (RG) and frame score (FRAME). Records from 80,958 females born between 2000 and 2019, exposed to mating starting at 10 months of age, raised on pasture from 508 farms in the central-west, southeast, northeast and northern regions of Brazil that participate in the National Association of Breeders and Researchers (ANCP), were analysed. The (co)variance components were estimated by Bayesian inference in a two-trait animal model. The <i>posterior</i> means of heritability estimates for STAY48-2, STAY48-3, STAY54-2 and STAY54-3 were moderate to low, 0.20, 0.20, 0.22 and 0.22 respectively. The traits related to different categories of stayability showed low genetic correlations with male reproductive traits (−0.22 to 0.19), feed efficiency (−0.03 to 0.13), carcass (0.11 to 0.18) and body composition (−0.09 to −0.6), moderate with growth (0.04 to 0.29) and high with sexual precocity (0.88 to 0.93) and fertility (0.65 to 0.73). The heritability estimates of the different categories of stayability indicate genetic improvement for longevity in early challenged females. The genetic correlations with sexual precocity showed that its use as selection criteria is recommended for production systems of younger females challenged in the reproductive season rather than traditional stayability to increase the probability of stayability in the herd.</p>","PeriodicalId":54885,"journal":{"name":"Journal of Animal Breeding and Genetics","volume":"143 3","pages":"422-430"},"PeriodicalIF":1.9,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13054110/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145589595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genetic Parameters of Age at Conception in Nellore Females Using Threshold Models","authors":"Raimundo Nonato Colares Camargo Júnior,&nbsp;Cláudio Vieira de Araújo,&nbsp;Marina de Nadai Bonin Gomes,&nbsp;Feliciano Benedetti de Freitas,&nbsp;Welligton Conceição da Silva,&nbsp;Simone Inoe de Araújo,&nbsp;Éder Bruno Rebelo da Silva,&nbsp;Alison Miranda Santos,&nbsp;José Ribamar Felipe Marques,&nbsp;José de Brito Lourenço-Júnior,&nbsp;André Guimarães Maciel e Silva","doi":"10.1111/jbg.70029","DOIUrl":"10.1111/jbg.70029","url":null,"abstract":"<p>Age at conception is a critical factor in the intensification of production systems. It is crucial for intensifying production, optimising reproductive efficiency and boosting Nellore female productivity for genetic progress. However, the low heritability estimates currently limit the effectiveness of selection responses, thereby underscoring the necessity for more precise genetic parameter estimation methods. The aim of this study was to evaluate the genetic associations between body weights at weaning and yearling, and age at conception, in Nellore females. The methodology employed in this study involved the utilisation of a mixed polychotomous threshold model, a methodological framework that has been deemed appropriate for the analysis of categorical variables characterised by an underlying continuous distribution. The records of body weights at weaning and yearling, in conjunction with female age at conception, from 796 animals, were treated as a categorical variable associated with conception success. The (co)variance components were estimated via Bayesian inference using a Gibbs sampler. The mean heritability values were 0.43 (0.27; 0.60) for weaning weight, 0.63 (0.46; 0.81) for yearling weight, and 0.19 (0.06; 0.40) for the categorical variable of age at conception. While body weights exhibited a high additive genetic correlation were (0.79; 95% CI: 0.57; 0.96), correlations were lower between the categorical variable and weaning (−0.21; 95% CI: −0.75; 0.28) and yearling (0.34; 95% CI: −0.14; 0.71) weights. The study concluded that indicators of age at conception should incorporate additional selective criteria beyond body weight in order to improve the probability of conception.</p>","PeriodicalId":54885,"journal":{"name":"Journal of Animal Breeding and Genetics","volume":"143 3","pages":"403-410"},"PeriodicalIF":1.9,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13054106/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145544298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genetic Parameter Estimation for Pregnancy Loss and Their Association With Reproductive and Growth Traits in Brahman Cattle Under Extensive Tropical Conditions","authors":"Daniel Cardona-Cifuentes,&nbsp;Lucia G. de Albuquerque,&nbsp;Milagros Arias,&nbsp;Sindy Caivio-Nasner,&nbsp;Luis Camaripano,&nbsp;Luis G. Gonzalez-Herrera,&nbsp;Patricia I. Schmidt,&nbsp;Fernando Baldi","doi":"10.1111/jbg.70025","DOIUrl":"10.1111/jbg.70025","url":null,"abstract":"<p>This study estimated genetic parameters for pregnancy loss (PL) in Brahman cattle and evaluated the genetic correlation of PL with growth and reproductive traits using both the pedigree relationship matrix (<b>A</b>) and pedigree plus genomic relationship matrix (<b>H</b>). Data were collected from two herds in Bolivia, focusing on three age groups: heifers, primiparous and multiparous cows. Threshold animal models were fitted to each group. Multitrait models were fitted between the PL at different age group and between PL and the following traits: adjusted weights at 450 (W450) and 550 (W550) days, scrotal circumference adjusted at 450 (SC450) and 550 (SC550) days, accumulated cow productivity (ACP), age at first calving (AFC) and stayability (STAY). The <b>H</b> matrix increased the heritability for PL in heifers from 0.06 to 0.11. The genetic correlation between PL in heifers and primiparous cows changed using H (from 0.18 to 0.7), and it was high between heifers and multiparous cows. Moderate-high negative genetic correlation was observed between PL and STAY, with changes in heifers when using <b>H</b> (−0.17 to −0.57). AFC and PL presented medium-high positive genetic correlations. Negative correlations between PL and SC450 or SC550 were found in primiparous and multiparous cows. Using <b>H</b>, the correlation between PL in heifers and ACP shifted from 0.08 to −0.31, showing medium-high negative correlations for the other two age groups. Genetic correlations were low between PL and W450 or W550. Genomic information allows the use of PL as a selection criterion in heifers. Selection for major sexual precocity, longevity and productivity would enable the reduction of pregnancy loss.</p>","PeriodicalId":54885,"journal":{"name":"Journal of Animal Breeding and Genetics","volume":"143 2","pages":"365-374"},"PeriodicalIF":1.9,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jbg.70025","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145432937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimation of Genetic Parameters for Deviation in Age at Market Weight and Deviation in Weight at Market Age in Menz Sheep","authors":"Zeleke Tesema Wondie,&nbsp;Shanbel Besufkad,&nbsp;Aschalew Abebe,&nbsp;Shenkute Goshme,&nbsp;Asfaw Bisrat,&nbsp;Ayele Abebe,&nbsp;Alemnew Araya,&nbsp;Tesfaye Zewdie,&nbsp;Chekol Demis,&nbsp;Liuelseged Alemayehu,&nbsp;Erdachew Yitagesu,&nbsp;Tefera Mekonnen,&nbsp;Firdawok Ayele,&nbsp;Derb Aydefruhim,&nbsp;Tesfa Getachew,&nbsp;Enyew Alemnew,&nbsp;Solomon Gizaw,&nbsp;Tesfaye Getachew,&nbsp;Berhanu Belay,&nbsp;Barbara Rischkowsky,&nbsp;Yu Jiang,&nbsp;Aynalem Haile","doi":"10.1111/jbg.70023","DOIUrl":"10.1111/jbg.70023","url":null,"abstract":"<div>\u0000 \u0000 <p>Reducing the number of days from birth to slaughter is one strategy to improve animal feed and environmental efficiency. The export market use yearling sheep weighing 22–30 kg and usually purchases from large and small-scale traders at an early age (lambs weighing ≥ 15 kg) for mutton production. Hence, this study aimed to derive a new trait phenotype, which helps to reduce sheep market age without adverse effects on the market weight of Menz sheep and to evaluate the extent of exploitable genetic variation in this new trait. To this end, 11,258 lambs weighing ≥ 15 kg between 66 and 395 days of age were considered in this study. Co (variance) components and heritability estimates for novel traits were estimated using the average information restricted maximum likelihood method in WOMBAT fitting the animal model. The best-fitted model was selected from six models based on likelihood ratio test and Akaike's information criterion. The days-to-market weight of 16.3% of the animals was shorter by 48.2 days (with an estimated breeding value of −26.2 days) compared to the mean of the contemporary groups. The market weight of 15.5% of the animals was higher by 1.73 kg compared to the mean of the contemporary groups. There was a phenotypic variability of deviation in age at market weight (DAMW) and deviation in weight at market age (DWMA) for the sheep population in Molalie village compared to other villages. Likewise, the genetic standard deviation for DAMW and DWMA was 25 days and 0.79 kg, respectively. Based on the best-fitted model, the direct heritability estimate for DAMW and DWMA was 0.65 and 0.57, respectively. In addition, the maternal genetic effect explains 28% of the phenotypic variation in DAMW and 26% of the phenotypic variation in DWMA. The DAMW of Menz sheep in Dargegn and Molalie villages decreased significantly by 2.113 and 1.192 days year⁻¹, respectively. The observed additive genetic variance for DAMW suggests further scope for genetic improvement in the flock to reduce the days-to-market weight of Menz sheep. Including this novel trait in a breeding objective could shorten days to market weight without necessarily reducing the genetic merit of the live weight included in the breeding objective.</p>\u0000 </div>","PeriodicalId":54885,"journal":{"name":"Journal of Animal Breeding and Genetics","volume":"143 2","pages":"354-364"},"PeriodicalIF":1.9,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145403035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genomic Prediction and Genome-Wide Association Analysis of Heat Tolerance for Milk Yield in Buffaloes Using a Reaction Norm Model","authors":"Gabriela Stefani,&nbsp;Mário Luiz Santana,&nbsp;Lenira El Faro,&nbsp;Humberto Tonhati","doi":"10.1111/jbg.70022","DOIUrl":"10.1111/jbg.70022","url":null,"abstract":"<p>The aim of this study was to evaluate the impact of incorporating genomic information on the estimation of genetic (co)variance components and the accuracy of breeding values for milk yield under varying thermal environments, and to identify SNPs associated with genes that play significant roles in heat tolerance. We analysed 58,070 test-day milk yield records from 3459 first lactations, collected between 1987 and 2018 from six herds. Genotypic data consisted of 870 animals genotyped for 45,405 SNP markers. Climatic data were obtained from INMET and combined into a temperature-humidity index (THI). Breeding values for test-day milk yield across THI values and days in milk were estimated using both genomic and pedigree-based random regression animal models. The model incorporating genomic information yielded higher estimates of heritability and additive genetic variance, along with improved accuracy under heat stress conditions and better modelling of genotype-by-environment interaction, making it a promising approach for predicting breeding values. GWAS results were reported based on the proportion of genetic variance explained by sliding windows of five consecutive SNPs, with regions explaining more than 1% of the variance in heat tolerance selected for further consideration. The ESRRG, IGSF5 and PCP4 genes emerged as strong candidates associated with heat tolerance in milk yield.</p>","PeriodicalId":54885,"journal":{"name":"Journal of Animal Breeding and Genetics","volume":"143 2","pages":"342-353"},"PeriodicalIF":1.9,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jbg.70022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145395078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Early Intergenerational Changes in Genetic Diversity During Domestication of Procambarus acanthophorus Using Mitochondrial and Nuclear DNA Markers","authors":"Saúl Omar Arriola-Martínez,&nbsp;Griselda Francisca Gallegos-Simental,&nbsp;Carlos Iván Pérez-Rostro,&nbsp;Guadalupe Fabiola Arcos-Ortega,&nbsp;Martha Patricia Hernández-Vergara","doi":"10.1111/jbg.70024","DOIUrl":"10.1111/jbg.70024","url":null,"abstract":"<div>\u0000 \u0000 <p><i>Procambarus acanthophorus</i> is a freshwater crayfish species endemic to Mexico with high aquaculture potential. Monitoring genetic diversity during the early stages of domestication is crucial to avoid the erosion of adaptive potential and ensure the success of breeding programmes. This study analysed changes in genetic variability across four consecutive populations: a wild founder population (G0) and three captive-bred generations (G1, G2, G3), using five mitochondrial markers (COI, COII, COIII, tRNA-Asn/12S and D-loop) and one nuclear marker (elongation factor 2, EF-2). A total of 21 haplotypes were detected, with decreasing haplotype richness from G0 (<i>n</i> = 10) to G3 (<i>n</i> = 5), although haplotype and nucleotide diversity remained within moderate to high ranges (Hd = 0.65–0.90; <i>π</i> = 0.0020–0.0466), consistent with diversity levels reported in other early-stage domestication studies. AMOVA revealed that 68% of the total genetic variation was among generations, and pairwise Fst values confirmed progressive differentiation. These findings suggest that while some genetic erosion is occurring, the implemented breeding practices have preserved a substantial portion of genetic diversity during early domestication. This study provides a preliminary genetic baseline for the management of <i>P. acanthophorus</i> breeding programmes and underscores the need for continued monitoring using complementary nuclear markers.</p>\u0000 </div>","PeriodicalId":54885,"journal":{"name":"Journal of Animal Breeding and Genetics","volume":"143 2","pages":"333-341"},"PeriodicalIF":1.9,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145379683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimating the Value of Including Resilience in a Multi-Trait Selection Index Designed for Australian Merino Sheep","authors":"Erin G. Smith,&nbsp;Samuel F. Walkom,&nbsp;Sam A. Clark","doi":"10.1111/jbg.70021","DOIUrl":"10.1111/jbg.70021","url":null,"abstract":"<div>\u0000 \u0000 <p>General resilience in livestock can be estimated from the variability in longitudinal data and may support balanced breeding objectives by helping animals better cope with environmental stress. However, its economic value and inclusion within multi-trait selection indexes remain largely unexplored. Current genetic improvement programs for sheep primarily focus on wool growth, reproduction and lean meat production. This study developed a bioeconomic model to estimate the economic value of general resilience, using the natural logarithm of variance of wool fibre diameter as a resilience indicator trait in sheep. A commercial Merino sheep enterprise was considered, and the economic value of resilience was derived from its association with health, mortality, and energy allocation for production. The breeding objective included key traits related to meat production, reproduction, and wool quality and quantity, to compare the economic impact of resilience with these traits. Among 13 traits, resilience contributed 2.02% to the total value of the index and ranked 11th in economic importance. After 10 years of simulated selection, resilience was expected to improved by 0.07 genetic standard deviations, translating to a modest economic gain of $0.08 per ewe. A sensitivity analysis was conducted to assess the impacts of increasing the relative contribution of resilience within the index on selection responses under four scenarios: (i) base genetic correlations, (ii) stronger correlations, (iii) weaker correlations, and (iv) adding genomic information. Resilience responded 50%–75% more effectively to selection when it had stronger genetic correlations with production traits or when genomic information was incorporated. However, placing greater emphasis on resilience (&gt; 10% of the index) reduced progress in key production traits. Future research should explore these trade-offs in industry selection indexes to integrate resilience effectively without compromising productivity.</p>\u0000 </div>","PeriodicalId":54885,"journal":{"name":"Journal of Animal Breeding and Genetics","volume":"143 2","pages":"314-332"},"PeriodicalIF":1.9,"publicationDate":"2025-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145350054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating Analytic Hierarchy Process and Weighted Goal Programming to Define Economic Traits and Consensus Desired Genetic Gains for the Russian Sturgeon (Acipenser gueldenstaedtii) Breeding Objective","authors":"Mina Rahbar,&nbsp;Roghieh Safari,&nbsp;Carlos I. Perez-Rostro","doi":"10.1111/jbg.70019","DOIUrl":"10.1111/jbg.70019","url":null,"abstract":"<div>\u0000 \u0000 <p>This study employed participatory methods to identify breeding objectives and define desired genetic gains for economically important traits in the Russian sturgeon (<i>Acipenser gueldenstaedtii</i>). Two structured questionnaires were distributed to all Russian sturgeon farmers in Iran. The first questionnaire collected farm management information and asked farmers to prioritise five important traits from a list of thirteen. The top-ranked traits were ovarian fat lobe weight (OFW), total caviar weight (TCW), body weight of broodstock (BWB), larval body area at hatching (LBA), and yolk sac area (YSA). In the second questionnaire, pairwise comparisons were applied to derive individual trait preferences through the Analytical Hierarchy Process (AHP). Social group preference (Soc-<i>p</i>) values were computed for each social group using the weighted goal programming (WGP) model implemented in LINGO software. The greatest disagreement in Soc-<i>p</i> values emerged between the commercial product and water temperature categories. Subsequently, the extended WGP models were employed to derive consensus preference (Con-<i>p</i>) values for these categories. The average of the Con-<i>p</i> values was 0.28 (OFW), 0.22 (BWB), 0.14 (TCW), 0.13 (LBA), and 0.05 (YSA). These Con-<i>p</i> values were then used to determine the desired genetic gains, which were highest for TCW (1.39%) and lowest for YSA (0.34%). The use of AHP and WGP, rather than economic indices, was justified by the limited availability of reliable economic data in Iranian sturgeon aquaculture and the need for farmer-driven, consensus-based breeding goals. This research demonstrates that participatory approaches can successfully define genetic priorities, improve consensus among diverse farmer groups, and guide sustainable breeding strategies for Russian sturgeon in Iran.</p>\u0000 </div>","PeriodicalId":54885,"journal":{"name":"Journal of Animal Breeding and Genetics","volume":"143 2","pages":"304-313"},"PeriodicalIF":1.9,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145350108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}