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    <title>DSpace Communidade: Embrapa Pecuária Sudeste (CPPSE)</title>
    <link>https://www.alice.cnptia.embrapa.br/alice/handle/item/28</link>
    <description>Embrapa Pecuária Sudeste (CPPSE)</description>
    <pubDate>Wed, 24 Jun 2026 00:29:31 GMT</pubDate>
    <dc:date>2026-06-24T00:29:31Z</dc:date>
    <item>
      <title>Water performance indicators and benchmarks for dairy production systems.</title>
      <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187357</link>
      <description>Título: Water performance indicators and benchmarks for dairy production systems.
Autoria: PALHARES, J. C. P.; MATARIM, D. L.; SOUSA, R. V. de; MARTELLO, L. S.
Conteúdo: The aim of the study is to discern benchmarks for the indicators L water cow−1 day−1 and L water kg milk−1 day−1 per type of production system and season. A total of 876 commercial dairy farms underwent comprehensive water consumption monitoring from January 2021 to December 2022. The monitored water consumptions were animal drinking water and water usage for cleaning. Confined systems exhibited the highest average for animal drinking and cleaning, 87.5 L water cow−1 day−1 and 84.4 L water cow−1 day−1, respectively. Semi-confined systems presented the lowest average for animal drinking, 54.4 L water cow−1 day−1. Pasture systems showed the lowest average for cleaning, 45.2 L water cow−1 day−1. The benchmarks proposed in this study can serve as the first references for animal drinking and milking parlor washing consumption for production systems in tropical conditions.</description>
      <pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187357</guid>
      <dc:date>2024-01-01T00:00:00Z</dc:date>
    </item>
    <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>Análise anatômica exploratória da nervura central da folha de capim Tanzânia sob diferentes esquemas de irrigação.</title>
      <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187182</link>
      <description>Título: Análise anatômica exploratória da nervura central da folha de capim Tanzânia sob diferentes esquemas de irrigação.
Autoria: RADO, W. M. R.; MOURA, L. F.; CARVALHO, T. A. de; QUISPE, S. L.; MARQUES, J. P. R.; OLIVEIRA, P. P. A.; RODRIGUES, P. H. M.
Conteúdo: A anatomia foliar influencia diretamente a qualidade, a resistência estrutural e a funcionalidade fisiológica das forrageiras tropicais. Modificações na espessura tecidual, proporções celulares e organização vascular podem refletir a resposta das plantas às condições nutricionais e ambientais. Este estudo teve como objetivo caracterizar de forma exploratória a estrutura anatômica da nervura central da lâmina foliar de Megathyrsus maximus cv. Tanzania sob dois regimes de manejo hídrico e fertilização nitrogenada: sistema irrigado com 600 kg N ha⁻¹ ano⁻¹ e sistema de sequeiro com 400 kg N ha⁻¹ ano⁻¹. As amostras foram coletadas no terço médio do limbo foliar e fazem parte de um projeto experimental em andamento na Embrapa Pecuária Sudeste, São Carlos, SP. As amostras foram fixadas em solução FAA 70%, desidratadas em série crescente de etanol e embutidas em resina sintética. As lâminas obtidas foram coradas com azul de toluidina e analisadas em microscópio óptico Leica DM 500 com câmera integrada. As imagens foram tratadas no software ImageJ, possibilitando a quantificação das proporções relativas de tecidos anatômicos. Os resultados revelaram diferenças morfoanatômicas entre os sistemas. No sistema irrigado, observou-se maior área anatômica total média da nervura central (893032,8 μm²), maior largura (797,1 μm), e maior proporção de parênquima (79,0%) e de feixes vasculares (9,2%), sugerindo um maior potencial metabólico e estrutural. Já no sistema de sequeiro, houve aumento na proporção de epiderme (6,1%), esclerenquima (7,7%) e espessamento da epiderme abaxial, possivelmente como resposta adaptativa à limitação hídrica. A média da largura da nervura foi de 674 μm, com menor área anatômica total (612017,5 μm²). Essas observações reforçam a plasticidade anatômica de M. maximus cv. Tanzania e sugerem que a maior proporção de tecidos de sustentação sob sequeiro pode estar associada a mecanismos de adaptação fisiológica e possível relação com a digestibilidade da forragem, aspecto que deve ser aprofundado em estudos posteriores. Este estudo fornece dados preliminares relevantes para entender como o ambiente influencia a anatomia foliar e, consequentemente, a eficiência da planta em sistemas forrageiros tropicais.</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187182</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
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