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    <title>DSpace Coleção: Artigo em periódico indexado (CPPSE)</title>
    <link>https://www.alice.cnptia.embrapa.br/alice/handle/item/277</link>
    <description>Artigo em periódico indexado (CPPSE)</description>
    <pubDate>Fri, 05 Jun 2026 09:33:12 GMT</pubDate>
    <dc:date>2026-06-05T09:33:12Z</dc:date>
    <item>
      <title>Derivation of prediction error variance for non-genotyped individuals in genomic selection.</title>
      <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187348</link>
      <description>Título: Derivation of prediction error variance for non-genotyped individuals in genomic selection.
Autoria: JUNQUEIRA, V. S.; YOKOO, M. J. I.; CARDOSO, F. F.
Conteúdo: Genomic selection has transformed plant and animal breeding by enabling accurate prediction of genetic merit using DNA markers; however, comprehensive genotyping of all selection candidates remains economically prohibitive for most breeding programs. While breeding programs must decide which subset of individuals to genotype within budget constraints, current approaches rely primarily on experience-based decisions rather than quantitative frameworks. We present explicit mathematical derivations for prediction error variance (PEV) in non-genotyped individuals under mixed model equations, providing a theoretical foundation for evaluating genotyping strategies prospectively. The approach derives PEV expressions for non- genotyped selection candidates under different relationship matrix structures, including pedigree-based, genomic, and hybrid single-step methodologies that combine both information sources. The derivations accommodate complex breeding program structures with historical training populations containing both genotypes and phenotypes alongside contemporary selection candidates with only pedigree information. Using Schur complement methods applied to partitioned mixed model equations, the framework enables calculation of prediction uncertainty without requiring actual phenotypic data from selection candidates. The expressions simplify under different information scenarios, from cases with complete phenotypic data to situations where only relationship information is available. The method was validated through simulations across six scenarios with populations ranging from 180 to 15,500 individuals, confirming numerical equivalence with direct matrix inversion while demonstrating computational and memory advantages that increase with population size. Although genomic relationship matrix operations dominate the complexity, matrix decomposition techniques, including Cholesky factorization and APY methodology, can improve efficiency. The mathematical framework provides quantitative tools for transitioning from experience-based to mathematically- informed genotyping decisions, with applications extending to any field requiring prospective quantification of prediction uncertainty under resource constraints.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187348</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Effect of two-doses of 3-nitrooxypropanol (3-NOP) on methane emissions, performance, rumen microbiome, and metabolomics in Nellore cattle.</title>
      <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187294</link>
      <description>Título: Effect of two-doses of 3-nitrooxypropanol (3-NOP) on methane emissions, performance, rumen microbiome, and metabolomics in Nellore cattle.
Autoria: AMÂNCIO, B. R.; MAGNANI, E.; NUNES, A. T.; SILVA, T. H.; CORTINHAS, C. S.; CARVALHO, V. V. de; TAMASSIA, L. F. M.; ZIHLMANN, R.; BERNDT, A.; SANTOS, J. de O.; CÔNSOLO, N. R. B.; BENEDETI, P. D. B.; ARNANDES, R. H. B.; PAULA, E. M.
Conteúdo: This study evaluated the effects of two doses of 3-nitrooxypropanol (3-NOP) on methane (CH4) emissions, performance, dry matter (DM) intake, apparent digestibility, rumen microbiome and metabolomic profile of Nellore cattle fed a high-concentrate finishing finishing diet. Seventy-five 20-month-old Nellore bulls, 361.6 ± 30.08 kg body weight (BW), were individually housed with ad libitum access to feed and water. Animals were distributed in a completely randomized study design, with three treatments and 25 animals per treatment, which were: 1) CON, control (basal diet + mineral premix without 3-NOP), 2) 3-NOP65 (Basal diet + mineral premix + 65 mg 3-NOP/kg of DM), 3) 3-NOP85 (Basal diet + mineral premix + 85 mg 3-NOP/kg of DM). The 115-d trial included a 3-wk adaptation period with increasing dietary concentrate levels from 50% to 88%. Enteric CH4 emissions were measured using the sulfur hexafluoride (SF6) tracer gas technique. Supplementation with 3-NOP had no detrimental effect on final BW (P = 0.89) and average daily gain (ADG; P = 0.94), but DM intake increased linearly with 3-NOP inclusion (P = 0.05). Methane emissions (g/d) were reduced by 13.2% and 26.7% in the 3-NOP65 and 3-NOP85 groups, respectively (P &lt; 0.05), without adverse effects on animal health. Rumen microbiome analysis revealed a quadratic response in the relative abundance of the phylum Euryarchaeota (P = 0.01). Metabolomic analysis indicated significant changes in amino acid and energy metabolism, with proline, arginine, and threonine identified as key discriminant metabolites (VIP &gt; 1) in the 3-NOP85 group. These findings demonstrate that 3-NOP supplementation effectively reduces CH4 emissions in a dose-dependent manner while maintaining animal performance and health.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187294</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Direct determination of soil carbon stocks by NIRS: an advanced approach.</title>
      <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187045</link>
      <description>Título: Direct determination of soil carbon stocks by NIRS: an advanced approach.
Autoria: FREITAS, V. S.; BENTO, L. R.; NAPOLITANO, V.; OLIVEIRA, P. P. A.; PEZZOPANE, J. R. M.; BERNARDI, A. C. de C.; MILORI, D. M. B. P.; MARTIN NETO, L.
Conteúdo: Soil carbon stocks are obtained as the product of carbon content, soil bulk density, and specific layer thickness. The determination of soil bulk density requires field sampling procedures that can be labor-intensive and time- consuming, particularly when sampling deep soil layers or large areas. In this study, near-infrared spectroscopy (NIRS) was used to directly estimate volumetric soil carbon (Ps, kg C m 3 ), allowing easier estimation of soil carbon stocks. This approach aims to reduce the difficulties and high cost of traditional soil sampling, which involves opening trenches and collecting undisturbed soil samples using a volumetric ring for soil bulk density determination, as well as using conventional techniques as CHN elemental analyzer. A dataset of 576 soil samples (480 for calibration and 96 for validation) was measured by NIRS, collected from a long-term field experiment encompassing different tropical pasture management systems and a reference native vegetation area: recovered pasture (RP), intercropped pasture (CON), extensive pasture (EX), and native forest (FO). The best model, employing the spectral first derivative as a preprocessing step and Partial Least Squares (PLS) regression as the multivariate algorithm, achieved performance of R 2 2.85 in calibration, and R 2 = 0.79, RMSEC = 4.5 kg C m =0.85, RMSEP = 4.1 kg C m 3 3 , RPD = 2.16 and RPIQ = , RPD = 2.53 and RPIQ = 3.63 in validation. Carbon stocks calculated from NIRS-predicted values in the validation dataset showed no significant differences from reference measurements. These findings demonstrate that NIRS can provide reliable, rapid, and cost-effective estimates of soil carbon stocks, highlighting its potential application in carbon credit assessments.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187045</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Infrared thermography and Doppler ultrasonography reveal divergent scrotal thermoregulation strategies in Nelore and composite (5/8 Charolais × 3/8 Bos indicus) beef bulls.</title>
      <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186903</link>
      <description>Título: Infrared thermography and Doppler ultrasonography reveal divergent scrotal thermoregulation strategies in Nelore and composite (5/8 Charolais × 3/8 Bos indicus) beef bulls.
Autoria: RAMOS, G. G.; ARRUDA, R. P. de; AZEVEDO, G. N.; GONÇALVES, J. D.; BERNARDI, A. C. de C.; PEDROSO, A. de F.; PINHO, L. F.; SOUSA, A. J. C. de; FELTRIN, I. R.; GARCIA, A. R.
Conteúdo: The present study aims to compare the testicular development and the capacity to maintain homeothermy and scrotal thermoregulation of young Nelore and Canchim (5/8 Charolais × 3/8 Bos indicus) bulls raised in the tropics, using infrared thermography and color Doppler ultrasonography. Forty-eight young bulls (24 Nelore and 24 Canchim) were raised using an intensive rotational grazing system (Urochloa brizantha, cv. BRS Piatã). The bulls had free access to shade and rotated between paddocks every seven days, with the pastures resting for thirty-five days. Over 12 consecutive months, the bulls were evaluated using calipers, clinical thermometers, infrared thermography, and color Doppler ultrasonography. Data were analyzed for the main effect of breed (Nelore and Canchim) and animal age (8 to 19 months), and the possible breed × age interaction. Nelore demonstrated greater (P &lt; 0.05) competence in maintaining systemic homeothermy than Canchim. The epididymal tail temperature was higher (P &lt; 0.05) in Nelore bulls (32.8 ± 0.1 °C) compared to Canchim (32.0 ± 0.1 °C). At the end of the experiment, Nelore bulls showed a smaller (P &lt; 0.05) color Doppler area in the pampiniform plexus (1173.3 ± 106.1 mm2) compared to Canchim (1763.7 ± 138.1 mm2). Our study used a combination of infrared thermography and color Doppler ultrasonography to assess scrotal temperature and hemodynamics. This approach could contribute to the development of initial reference parameters, which are an important tool for understanding adaptability issues.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186903</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
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