Zobrazuji výsledky 1 501 - 1 520 z 2 100 pro vyhledávání 'farm is (((((evolves. OR involves.) OR involves.) OR evolvesdsds.) OR involved.) OR resolves.)', doba hledání: 1,47 s. Upřesnit hledání
  1. 1501

    Table_1_Biosynthesized selenium nanoparticles to rescue coccidiosis-mediated oxidative stress, apoptosis and inflammation in the jejunum of mice.docx Autor Rewaida Abdel-Gaber (7316705)

    Vydáno 2023
    “…Our research thus showed the involvement of Bio-SeNPs in protecting mice with E. papillata infections against jejunal damage.…”
  2. 1502

    Copies number of genes by qPCR. Autor Akira Fukuda (682800)

    Vydáno 2024
    “…Through phylogenetic analysis involving single nucleotide polymorphisms (SNPs) and using whole-genome sequencing, it was discovered that clonal <i>bla</i><sub>CTX-M</sub>-positive <i>E</i>. …”
  3. 1503

    Análise Fatorial do Sistema Agroindustrial do Biodiesel no Brasil e na União Europeia Autor Bárbara Françoise Cardoso (4645489)

    Vydáno 2017
    “…<p></p><p>Abstract: This paper aims to analyze comparatively the main factors involved in the coordination of the agro-industrial system of biodiesel (AIS of biodiesel) in Brazil and the European Union, from the perspective of the stakeholders of this system. …”
  4. 1504

    How transformative is agroecological knowledge co-creation? Insights from a systematic literature review Autor Laura Bello Cartagena (19794310)

    Vydáno 2024
    “…<p>Knowledge co-creation (KCC) is imperative for agroecological development, yet the extent to which agroecological KCC processes balance scientific rigor, local relevance, and legitimacy, and the extent to which they connect to transformative agroecological farming remains poorly understood. Therefore, we systematically reviewed 58 peer-reviewed empirical studies that involved agroecological KCC. …”
  5. 1505

    Table_2_Physiological Effects of Water Flow Induced Swimming Exercise in Seabream Sparus aurata.xlsx Autor Arjan P. Palstra (8178282)

    Vydáno 2020
    “…The absence of important differences in plasma GH and IGF1, and expression levels of their receptors in heart and white skeletal muscle, indicated that other factors may be involved in growth enhancement. RNAseq of the white skeletal muscle showed upregulated expression of genes involved in muscle contraction, muscle development and its molecular regulation, and immune genes that may play a role in the muscle repair mechanism. …”
  6. 1506

    Transcriptome Analysis of the Innate Immunity-Related Complement System in Spleen Tissue of <i>Ctenopharyngodon idella</i> Infected with <i>Aeromonas hydrophila</i> Autor Yunfei Dang (3158814)

    Vydáno 2016
    “…<div><p>The grass carp (<i>Ctenopharyngodon idella</i>) is an important commercial farmed herbivorous fish species in China, but is susceptible to <i>Aeromonas hydrophila</i> infections. …”
  7. 1507

    Table_1_Physiological Effects of Water Flow Induced Swimming Exercise in Seabream Sparus aurata.xlsx Autor Arjan P. Palstra (8178282)

    Vydáno 2020
    “…The absence of important differences in plasma GH and IGF1, and expression levels of their receptors in heart and white skeletal muscle, indicated that other factors may be involved in growth enhancement. RNAseq of the white skeletal muscle showed upregulated expression of genes involved in muscle contraction, muscle development and its molecular regulation, and immune genes that may play a role in the muscle repair mechanism. …”
  8. 1508

    Table 8_Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.xlsx Autor Yuliya Genievskaya (4725192)

    Vydáno 2025
    “…Phenotypic data were combined with high-density SNP genotyping to perform GWAS using five statistical models (GLM, MLM, MLMM, FarmCPU, and BLINK). Population structure and kinship were accounted for to identify robust marker-trait associations (MTAs), followed by haplotype-based QTL delineation. …”
  9. 1509

    Table 6_Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.xlsx Autor Yuliya Genievskaya (4725192)

    Vydáno 2025
    “…Phenotypic data were combined with high-density SNP genotyping to perform GWAS using five statistical models (GLM, MLM, MLMM, FarmCPU, and BLINK). Population structure and kinship were accounted for to identify robust marker-trait associations (MTAs), followed by haplotype-based QTL delineation. …”
  10. 1510

    Image 2_Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.png Autor Yuliya Genievskaya (4725192)

    Vydáno 2025
    “…Phenotypic data were combined with high-density SNP genotyping to perform GWAS using five statistical models (GLM, MLM, MLMM, FarmCPU, and BLINK). Population structure and kinship were accounted for to identify robust marker-trait associations (MTAs), followed by haplotype-based QTL delineation. …”
  11. 1511

    Table 7_Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.xlsx Autor Yuliya Genievskaya (4725192)

    Vydáno 2025
    “…Phenotypic data were combined with high-density SNP genotyping to perform GWAS using five statistical models (GLM, MLM, MLMM, FarmCPU, and BLINK). Population structure and kinship were accounted for to identify robust marker-trait associations (MTAs), followed by haplotype-based QTL delineation. …”
  12. 1512

    Table_1_Genome-wide association mapping of rust resistance in Aegilops longissima.xlsx Autor Rae Page (16682283)

    Vydáno 2023
    “…Identification of novel sources of rust resistance genes is key to developing cultivars resistant to rapidly evolving pathogen populations. Aegilops longissima is a diploid wild grass native to the Levant and closely related to the modern bread wheat D subgenome. …”
  13. 1513

    Table 3_Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.xlsx Autor Yuliya Genievskaya (4725192)

    Vydáno 2025
    “…Phenotypic data were combined with high-density SNP genotyping to perform GWAS using five statistical models (GLM, MLM, MLMM, FarmCPU, and BLINK). Population structure and kinship were accounted for to identify robust marker-trait associations (MTAs), followed by haplotype-based QTL delineation. …”
  14. 1514

    Table 5_Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.xlsx Autor Yuliya Genievskaya (4725192)

    Vydáno 2025
    “…Phenotypic data were combined with high-density SNP genotyping to perform GWAS using five statistical models (GLM, MLM, MLMM, FarmCPU, and BLINK). Population structure and kinship were accounted for to identify robust marker-trait associations (MTAs), followed by haplotype-based QTL delineation. …”
  15. 1515

    Table 1_Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.xlsx Autor Yuliya Genievskaya (4725192)

    Vydáno 2025
    “…Phenotypic data were combined with high-density SNP genotyping to perform GWAS using five statistical models (GLM, MLM, MLMM, FarmCPU, and BLINK). Population structure and kinship were accounted for to identify robust marker-trait associations (MTAs), followed by haplotype-based QTL delineation. …”
  16. 1516

    Table 2_Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.docx Autor Yuliya Genievskaya (4725192)

    Vydáno 2025
    “…Phenotypic data were combined with high-density SNP genotyping to perform GWAS using five statistical models (GLM, MLM, MLMM, FarmCPU, and BLINK). Population structure and kinship were accounted for to identify robust marker-trait associations (MTAs), followed by haplotype-based QTL delineation. …”
  17. 1517

    Table 4_Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.xlsx Autor Yuliya Genievskaya (4725192)

    Vydáno 2025
    “…Phenotypic data were combined with high-density SNP genotyping to perform GWAS using five statistical models (GLM, MLM, MLMM, FarmCPU, and BLINK). Population structure and kinship were accounted for to identify robust marker-trait associations (MTAs), followed by haplotype-based QTL delineation. …”
  18. 1518

    Image 1_Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.png Autor Yuliya Genievskaya (4725192)

    Vydáno 2025
    “…Phenotypic data were combined with high-density SNP genotyping to perform GWAS using five statistical models (GLM, MLM, MLMM, FarmCPU, and BLINK). Population structure and kinship were accounted for to identify robust marker-trait associations (MTAs), followed by haplotype-based QTL delineation. …”
  19. 1519

    DataSheet_1_Genome-wide association mapping of rust resistance in Aegilops longissima.pdf Autor Rae Page (16682283)

    Vydáno 2023
    “…Identification of novel sources of rust resistance genes is key to developing cultivars resistant to rapidly evolving pathogen populations. Aegilops longissima is a diploid wild grass native to the Levant and closely related to the modern bread wheat D subgenome. …”
  20. 1520

    Table_1_The hazard of carbapenemase (OXA-181)-producing Escherichia coli spreading in pig and veal calf holdings in Italy in the genomics era: Risk of spill over and spill back bet... Autor Virginia Carfora (4996184)

    Vydáno 2022
    “…Bioinformatics analysis of combined Oxford Nanopore Technologies (ONT) long reads and Illumina short reads identified bla<sub>OXA-181</sub> as part of a transposon in IncX1, IncX3, and IncFII fully resolved plasmids from 16 selected E. coli, mostly belonging to ST5229, isolated during the survey at slaughter and tracing-back activities. …”