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1. The Kaijiang duck is a native Chinese breed known for its excellent egg laying performance, killing-out percentage (88.57%), and disease resistance. The assessment of population genetic structure is the basis for understanding the genetics of indigenous breeds and for their protection and management.2. In this study, whole-genome sequencing was performed on 60 Kaijiang ducks to identify genetic variations and investigate the population structure. Homozygosity (ROH) analysis was conducted to assess inbreeding levels in the population.3. The study revealed a moderate level of inbreeding, indicated by an average inbreeding coefficient of 0.1043. This may impact the overall genetic diversity.4. Genomic Regions of Interest identified included 168 genomic regions exhibiting high levels of autozygosity. These regions were associated with processes including muscle growth, pigmentation, neuromodulation, and growth and reproduction.5. The significance of these pathways indicated their potential role in shaping the desirable traits of the Kaijiang duck. These findings provide insights into the genetic basis of the Kaijiang duck's desirable traits and can inform future breeding and conservation efforts.

The Jinling White duck represents a newly developed breed characterized by a rapid growth rate and a superior meat quality, offering significant economic value and research potential; however, the genetic basis underlying their body weight traits remains less understood. Here, we performed whole-genome resequencing for 201 diverse Jinling White male ducks and conducted population genomic analyses, suggesting a rich genetic diversity within the Jinling White duck population. Equipped with our genomic resources, we applied genome-wide association analysis for body weight on birth (BWB), body weight on 1 wk (BW1), body weight on 3 wk (BW3), body weight on 5 wk (BW5) and body weight on 7 wk (BW7) using 4 statistical models. Comparative studies indicated that factored spectrally transformed linear mixed models (FaST-LMM) demonstrated the most superior efficiency, yielding more results with the minimal false positives. We discovered that PUS7, FBXO11, FOXN2, MSH6, and SLC4A4 were associated with BWB. RAG2, and TMEFF2 were candidate genes for BW1, and STARD13, Klotho, ZAR1L are likely candidates for BW3 and BW5. PLXNC1, ATP1A1, CD58, FRYL, OCIAD1, and OCIAD2 were linked to BW7. These findings provide a genetic reference for the selection and breeding of Jinling White ducks, while also deepened our understanding of Growth and development phenotypic in ducks., Competing Interests: DISCLOSURES The authors declare no conflicts of interest., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

The assessment of animal genetic structure had significant importance for the preservation and breeding of animal germplasm resources. Selection signals are genotype markers generated during the process of biological evolution, and the detection of selection signals could reveal the direction of species evolution. The aim of this study was to generate a whole-genome resequencing data from Jinding duck, Shanma duck, Youxian Partridge duck, and Taiwan Brown tsaiya duck to reveal their population structure and selection signals. The population structure analysis revealed significant genetic differences among the 4 indigenous laying ducks, indicating their independent lineage. Specifically, Shanma duck and Youxian partridge duck were closely and likely originated from a common ancestor. In addition, selection sweep analysis was performed using the population genetic differentiation coefficient (Fst) and nucleotide diversity ratio (π ratio). The top 5% was used as the threshold for the Fst and π ratio, and the 2 thresholds were combined to identify selected genomic regions. In the selected regions of the 3 comparison groups, 136, 143, and 268 candidate genes were detected. Further screening of all candidate genes revealed that 35 candidate genes appeared simultaneously in 3 comparative groups, with 16 genes annotated. The 16 genes were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. The results revealed 5 functional genes (AQP3, PIK3C3, NOL6, RPP25, and DCTN3) that may be related to important economic traits in laying ducks and involved mainly invasopressin-regulated water reabsorption, ribosome biogenesis, and the PI3K signaling pathway. The results provide insights into the protection and exploitation of genetic resources of Chinese indigenous laying ducks., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

1. The c/c alleles are responsible for the white plumage colour of ducks; however, the gene corresponding to this locus is still unclear. In order to identify the locus-related candidate gene associated with duck's plumage colour pattern, it was necessary to analyse the whole genome resequencing data. 2. A total of 929,465 SNPs in chromosome 13 and 1,688 SNPs in the region of the Microphthalmia-Associated Transcription Factor (MITF) gene were identified from whole genome resequencing data analysis. After construction of an F ST plot from chromosome 13, MITF was highlighted as a candidate gene, possessing the highest F ST value (0.811) on chromosome 13. 3. Six novel SNPs were discovered, located in the intronic region of the MITF gene. F2 progeny of Kaiya × Liancheng ducks (N = 1,061) were selected for genotyping by the Restriction Fragment Length Polymorphism (RFLP) technique. Association analysis using Haploview software was used for validation of the results. 4. Association results between SNPs and phenotypes showed significant association with corresponding phenotypes. All the significantly associated SNPs were located in the identified candidate gene. 5. The identified candidate gene provided novel information which is important in marker-assisted selection and breeding of duck and for the investigation of the C locus recessive white genetic mechanisms underlying plumage colour pattern.

Nitrous oxide (N2O) emissions from a rice-duck cultivation system in the subtropical region of China and its regulating factors were investigated by using a static chambers technique during rice growth seasons in 2006 and 2007. The experimental field was equally divided into six plots for two different treatments: One was a conventional rice field (CK) and the other was a rice-duck ecosystem (RD). With the same amount of urea applied as basal fertilization, N2O emission fluxes from RD and CK followed a similar seasonal variation trend. During the flooding seasons, the N2O emission flux was not correlated with temperature, but it was significantly related to soil inorganic nitrogen (SIN) (p < 0.01) and soil pH (p < 0.01). After drainage, the N2O emission flux was not correlated with temperature, SIN, and soil pH. Our experimental data showed that peaks of N2O emission flux occurred both in 2 weeks after urea application and after drainage. Compared to CK, RD could significantly increase N2O emission. We evaluated the integrated global warming potentials (GWPs) of a rice-duck cultivation system based on methane (CH4) and N2O emission, which showed that RD could suppress the total amount of CH4 and N2O emissions from rice paddies. Moreover, because the decrease of CH4 emissions from RD compared to CK was far more than the increase of N2O emissions from RD compared to CK, RD greatly reduced integrated GWPs (CH4 + N2O) compared to CK. So, the rice-duck cultivation system is an effective strategy for reducing integrated GWPs of the rice-duck cultivation systems based on CH4 and N2O in southern China and will contribute to alleviating global warming.

The Wanshan mercury mine is the largest mercury deposit in Guizhou Province, China. Few attempts have been made to study the toxic effects of mercury on biota in this mining area. This study was the first to investigate the oxidative stress on domestic ducks (Shaoxing duck) chronically exposed to mercury in the Wanshan mining area. Chemical analyses revealed higher concentrations of both, mercury and selenium in samples from the Wanshan area. Total mercury and selenium concentrations in duck tissues varied from 0.073 to 4.465 mg/kg and from 1.073 to 6.35 mg/kg, respectively. Analysis of covariance revealed that there were significant effects of zone on accumulation of mercury and selenium in all duck tissues (P<0.01). Moreover, analysis of covariance indicated that mercury content significantly affected the accumulation of selenium in duck muscle, brain, and liver (P<0.01). Mercury and selenium were also highly correlated in Wanshan duck liver, muscle, brain, and lung. The statistical analysis suggested that selenium might be an interactive factor in mercury toxicity. As for the biochemical analyses, it was observed that selenium-dependent glutathione peroxidase and superoxide dismutase activities and glutathione (GSH) content were significantly increased in the livers and brains of Wanshan ducks (P<0.01, 0.05). However, no significant changes were observed in malondialdehyde content (P>0.05). Although the results indicated that adaptive responses of the redox-defense system are associated with the increased enzyme activities and GSH content, the most likely explanation is that selenium plays a critical role. Therefore, the effects of the interaction environmentally occurring selenium and mercury on public health in the Wanshan area should be examined in further studies.

1. The dietary methionine requirement of egg-laying ducks was assessed by feeding diets supplemented with graded levels of DL-methionine (0, 4, 8, 12, 16 g/kg dietary protein) for 8 weeks. The basal diet contained 175 g protein and 2.6 g methionine per kg feed (or 14.9 g/kg protein) and an estimated ME of 11.5 MJ/kg. 2. A total of 800 Shaoxin laying ducks (420 d old) were randomly divided into 5 groups of 160 each and fed in 4 separate pens. 3. Dietary supplementation of methionine significantly increased egg production and feed conversion efficiency. 4. Dietary methionine requirement for optimum egg production was estimated to be 25.7 g/kg of dietary protein or 4.5 g/kg of the diet or 380 mg/bird-d. 5. Methionine supplementation increased the methionine level in plasma, and the free glutamic acid and aspartic acid concentrations in plasma were quadratically related to dietary methionine levels. Increasing dietary methionine had little effect on egg quality characteristics.