The South-South Dimension in International Research Collaboration.

In this paper, we looked at the collaboration publishing patterns for groups of Global South countries (Latin America, Africa, ASEAN, Asian, BRICS), as well as publishing parameters. We looked at financing and the relationships between these groups and the Global North. Data from 2002 to 2021 was collected from InCites ® (Web of Science, Clarivate Analytics) and SciVal® (Scopus Elsevier). The impact was lower for BRICS, while Latin America and Asean countries tended to have a higher Field Weighted Citation Impact. Good Health and well-being (SDG 3) dominates South-South Collaborations. Asian countries showed a higher percentage of Affordable and Clean Energy (SDG7), while Africa and Latin America had a higher rate of Zero Hunger (SDG1). Each region shows different production profiles, but collaboration with the Global North is necessary for all regions. Intra-regional shows a lower impact than inter-regional financing, calling attention to the increasing influence of China in all regions, except for Latin America. The data analysed can be used for orienting South-South scientific Collaboration programs, focusing on pre-existent synergies and on where policy changes and results can be maximised.

Impact of Open Access Policy on Brazilian Science and Global Trends.

Open access (OA) publishing provides free online access to research articles without subscription fees. In Brazil, absence of financial support from academic institutions and limited government policies pose challenges to OA publication. Here, we used data from the Web of Science and Scopus to compare with global trends in journal accessibility and scientific quality metrics. Brazilian authors publish more OA articles, particularly in Global South journals. While OA correlates with quality for global authors, it had no impact on Brazilian science. To maximize impact, Brazilian authors should prioritize Q1 journals regardless of OA status. High-impact or Global North journal publication seems more relevant for Brazilian science than OA. Our findings indicate that the present open access policy has been ineffective to improve the impact of Brazilian science, providing insights to guide the formulation of scientific public policies.

Assessment of the adaptive capacity of Morada Nova ewes with different coat coloration.

Coat color is a factor affecting heat tolerance in tropical ruminant and a particular coat color can determine which is more resilient to environmental changes. The aim of this study was to measure the level of adaptation of Morada Nova sheep with different coat color by using an Adaptability Index (AI). Adult ewes were used, including two different coat colors of Morada Nova sheep (red and white) with mean of body weight of 28.02 ± 5.70 kg and 31.47 ± 3.41 kg, respectively. Physiology parameters, hematology, electrolytes, acid-base status, mineral, renal functions, metabolites, enzymes, and proteins were measured. AI was designed using a multivariate approach (principal component analysis) to "weigh" the influence of each variable in the animal responses. The variables more important for adaptive aspects of Red Morada Nova were: haematology, electrolytes and acid-base status. The hemoglobin (HG), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), sodium (Na+), oxygen pressure (PO2), glucose (GLU) and albumin (ALB) were significantly higher in Red Morada Nova sheep and hydrogen carbonate (HCO3), base excess (BE), total carbon dioxide concentration (TCO2) and URE were significantly higher in the white phenotype. The variables more important for adaptive aspects of White Morada Nova sheep were: (K+), total protein (TP), PO2, HG, cholesterol (CHO), rectal temperature (RT) and glucose (GLU). Both phenotypes showed a high adaptation level, however, a higher value was generated for the Red Morada Nova sheep (81.97). This study concludes that both phenotypes of the Morada Nova sheep breed are well adapted to the climatic condition of the Brazilian tropical region using different adaptive mechanisms.

Carcass traits and morphometry, typification of the Longissimus dorsi muscle and non-carcass components of hair lambs: can biscuit bran completely replace corn? A machine learning approach.

Biscuit bran (BB) is a co-product with worldwide distribution, with Brazil as the second largest cookie producer in the world with 1,157,051 tons. We evaluate the impact of completely replacing corn with BB on the characteristics and morphometry of carcass of purebred and crossbred Morada Nova lambs using machine learning techniques as an auxiliary method. Twenty male lambs from two genetic groups (GG) were used: purebred red-coated Morada Nova (MNR) and crossbred MNR × white-coated Morada Nova (MNF1). Supervised and unsupervised machine learning techniques were used. No interaction (P > 0.05) was observed between diets (D) and genetic groups (GG) and no simple isolated effect was observed for carcass characteristics, qualitative-quantitative typification of the Longissimus dorsi muscle, weight of non-carcass components, weight and yield of commercial cuts and carcass morphometric measurements. The formation of two horizontal clusters was verified: (i) crossed lambs with corn and BB and (ii) purebred lambs fed corn and BB. Vertically, three clusters were formed based on carcass and meat characteristics of native lambs: (i) thermal insulation, body capacity, true yield, and commercial cuts; (ii) choice, performance, physical carcass traits, and palatability; and (iii) yield cuts and non-carcass components. The heatmap also allowed us to observe that pure MN lambs had a greater body capacity when fed BB, while those fed corn showed superiority in commercial cuts, true yields, and non-carcass components. Crossbred lambs, regardless of diet, showed a greater association of physical characteristics of the carcass, performance, palatability, and less noble cuts. Crossbred lambs, regardless of diet, showed a greater association of physical characteristics of the carcass, performance, palatability, and less noble cuts. BB can be considered an alternative energy source in total replacement of corn. Integrating of machine learning techniques is a useful statistical tool for studies with large numbers of variables, especially when it comes to analyzing complex data with multiple effects in the search for data patterns and insights in decision-making on the farm.

The use of infrared thermography as an indicator of methane production in hair sheep.

Infrared thermography may be an alternative technology for measuring the amount of CH4 produced and has the advantages of low cost, speed and efficiency in obtaining results. The study's objective was to determine if the infrared thermography is adequate for predicting the emission of CH4 in hair sheep and the best time after feeding to carry out the measurement. Twelve Santa Inês lambs (females, non-pregnant, with twelve months old and mean body weight of 39.3 ± 2.1 kg) remained for two days in respirometric chambers, in a semi-closed system, to determine the CH4 production. The animals were divided into two treatments, according to the diet provided. During this period, seven thermographic photographs were taken, at times - 1 h, -0.5 h, 0 h, 0.5 h, 1 h, 2 h, 3 h, 5 h, and 7 h, according to the feeding time, defined as 0 h. CH4 production was measured over 24 h. Thermographic images measured the maximum, minimum, average and point temperatures at the left and right flanks. The temperature difference between the left and right flanks (left minus right) was calculated each time. Pearson correlation coefficients, multiple regression and principal component analysis were carried out in SAS®. The best prediction of emission intensity of CH4 (kg of CH4 per dry matter intake) was obtained at 3 h after feeding: CH4/DMI = 13.9016-0,38673 * DifP2 + 3.39089 * DifMed2 (R² = 0.48), using the difference between left and right flanks for point and average temperature measures. Therefore, infrared thermography can be used as an indicator of CH4 production in hair sheep three hours after feeding.

Comparative assessment of growth curves in Brazilian white Morada Nova hair sheep breed.

The Morada Nova sheep breed is essential for the economy of the semi-arid region of Northeast Brazil, standing out for its adaptability, resistance to parasites and reproductive ability. However, the white variant is endangered, highlighting the importance of studies on its productivity to support conservation efforts. This study focuses on the growth curve of the Morada Nova sheep breed, using nonlinear models and analyzing flock profiles. Total of 764 observations of 165 animals from four farms in Ceará and Rio Grande do Norte, Brazil, were analyzed. Canonical discriminant analysis (CDA) was used for the exploratory analysis and four nonlinear models were used to study the growth curve. Weight from birth to 270 days of age, absolute growth rate (AGR), and the impact of sex on growth curves were assessed. Sex and farm are significant discriminating variables (P < 0.05) for the studied effects (weight and age). Weight was the primary phenotypic biomarker that discriminated between the two indicators, while age was a discriminating indicator only for the core effect. The Gompertz model was the most efficient, presenting the lowest residuals and greatest convergence. The study reveals new information about the growth of Morada Nova sheep, the white variety, including weight differences between the sexes at all analyzed ages and an inflection point before 90 days of age. These discoveries contribute to the understanding of the breed's growth and help in the formulation of conservation strategies.

Do forage production and ingestive behavior of locally adapted sheep differ from an irrigated silvopastoral system to an irrigated monoculture in the semi-arid region?

This study aimed to evaluate forage production and ingestive behavior of Morada Nova sheep in an intensive system with capim-tamani grass in both monoculture and silvopastoral irrigated systems in the Semi-arid region. Eighteen adult sheep, approximately 3 years old, with an average body weight of 26.8 ± 4.3 kg, were allocated to treatments with capim-tamani grass cultivated in monoculture and in silvopastoral systems with Caatinga trees. The experiment followed a completely randomized complete block design with two plots and three replications. Forage production, consumption, and behavioral activities were the assessed variables. The animals remained in the pasture daily between 6 am and 6 pm. No effects of the monoculture and silvopastoral systems were observed on the structural and productive characteristics of the capim-tamani grass pasture. There were also no observed effects on body condition score, consumption, and disappearance rate of dry matter (DM) and other nutrients in both systems. However, there was an interaction between the time animals spent under shade in monoculture and silvopastoral systems. In general, the animals spent more time under shade where there were trees, except during the period between 2 pm and 4 pm, when the times were similar. On average, the animals spent approximately 15.6% (equivalent to 1.87 h) of their total time in the artificial shade available in the monoculture system, whereas in the silvopastoral system, they remained under natural shade for approximately 40% (five and a half hours) of their time spent in the pasture during the day. The grazing frequency in both systems was approximately 70% (8.4 h) in relation to the total time spent in the pasture. The capim-tamani grass pasture managed intensively with sheep in the silvopastoral system showed similar forage production and consumption compared to the monoculture system. There was a positive influence of trees on the duration of solar radiation exposure to the animals throughout the day. The results support the need to provide shade for sheep, as well as to promote these sustainable systems in semi-arid regions.

Gene expression in the Longissimus dorsi muscle related to meat quality from tropical hair lambs.

The present study describes the expression of genes in the Longissimus dorsi muscle related to meat quality of hair lambs finished in an Integration Crop-Livestock system. Twenty-eight non-castrated lambs of two breeds, Somalis Brasileira and Santa Inês, at 120 ± 15 days of age, with an average initial live weight of 18 ± 3.1 kg, were kept in a pasture-based finishing system with supplementation. Upon reaching 28 kg body weight, animals were sent for slaughter. Samples of the Longissimus dorsi and Biceps femoris muscle were harvested for analyses of gene expression and physicochemical properties. Significant differences were detected between the breeds for tissue and chemical composition, whereas the physical aspects did not differ. We observed the expression of six genes related to lipid synthesis (acetyl-CoA carboxylase [ACACA], fatty acid synthase [FAS], stearoyl-CoA desaturase [SCD], lipoprotein lipase [LPL], cell death-inducing DFFA-like effector A [CIDEA], and thyroid hormone responsive [THRSP]) and six genes related to molecular synthesis (myostatin [MSTN], growth differentiation factor 8 [GDF8], insulin-like growth factor 1 [IGF1], insulin-like growth factor 2 [IGF2], delta-like 1 homolog [DLK1], and growth hormone receptor [GHr]) in both breeds. The Santa Inês breed and the Somalis Brasileira showed similar expression patterns of genes related to lipogenesis and myogenesis of the Longissimus dorsi muscle, with the exception of the THRSP gene, in which the Somalis Brasileira have more receptors for the action of thyroid hormones, which resulted in greater thickness of fat in the carcass (subcutaneous fat) and higher lipid content in the chemical composition of the meat.

Understanding the environmental stress on thermoregulation actions of native goats using broken-line regression.

This study's objective was to evaluate the thermoregulation aspects of native goats through broken-line regression to understand the triggering of physiological responses in the homeothermy process. Data were collected from ten healthy dams of the Canindé breed once a week at hourly intervals (24 h) for eight consecutive weeks. Air temperature (AT; °C), relative humidity (RH; %) were measured and temperature-humidity index (THI) calculated. The thermoregulation parameters evaluated were: respiratory rate (RR; breaths.min-1), rectal temperature (RT; °C) and sweating rate (SR; g.m-2.h-1). All variables were subjected to analysis of variance with repeated measures over time. The hour was considered a fixed effect (00:00 h, 01:00 h, …, 23:00 h), and the animal was a random effect. Multiple regression analyses were also examined using General Linear Models and Variance Inflation Factors were calculated. Broken line non-linear regressions for RR, RT and SR were examined using independent variables. The highest average for AT and RH were 35.9 °C (13:00 h) and 92.4% (04:00 h), respectively. The lowest average of TA and RH were 22.1 °C (05:00 h) and 28.0% (12:00 h), respectively. The highest average THI was 102.1 (13:00 h), and the lowest 78.0 (05:00 h). The environmental thresholds at which RR, RT and SR began to increase for AT were between 17-21 °C and RH were > 17% (RR), ≥ 21 (RT) and > 23% (SR). For THI the limits were 108.4 for RR, 78.0 for RT and 100.1 for SR. Using THI, the thermoregulatory parameters are activated in the following order: SR, RR and RT. Estimates can serve as a basis to implement heat stress mitigation and improve animal welfare strategies for native goats.

Funding as a determinant of Citation Impact in Scientific Papers in different countries.

Several factors influence the citation impact. This paper constructed paths from funding to citation impact on a country basis. Country data came from Incites® (2011-2020). The (2013 to 2018) UNESCO database was used to define investments in Research and Development (R&D). An overall analysis and analyses by clusters formed by investments in R&D were carried out. Countries that invest relatively less in R&D tend to have less investment by businesses and publish fewer documents. Some differences exist in this pattern. For example, countries in the lowest investment group show higher international collaboration and publications in Open Access Journals. This leads to a higher impact but below countries with the highest investments in R&D. The paths from funding to high impact differed by cluster. While international collaboration appeared in several clusters, the % of papers in Q1 (Top) journal quartile, based on citations, was in almost all clusters. More investments in R&D and open access publishing do not necessarily lead to high impact.

Brazilian South-South Scientific Collaboration and The Sustainable Development Goals.

We look at Brazilian collaboration in Scientific papers based on SciVal and Incites regarding the Sustainable Development Goals (SDGs) of the United Nations. Data were collected from InCites® and SciVal® (2012-2021). Groups of Global South countries were formed (ASEAN, Asia, Africa, BRICS, Caribbean, Central and Latin America). Analyses included Cluster (Author position, impact/citations, open access, journal quartil), principal component, path and analysis of variance to see the effect of region and SDGs in Brazilian publishing. Scopus data were analysed in Vosviewer® for creating country networks through publication, citation and bibliographic coupling, as well as keyword analysis. SDG 3 (Good Health and Well-Being) dominates all Brazilian scientific collaborations with the various country groups. While gender equality shows greater importance in ASEAN and African countries, Life Below Water (SDG14), on Land (SDG15), and Climate Action (SDG13), are important in all regions. SDGs 1, 8, 10, 12, and 16 show less importance in this collaboration overall. Brazil is relatively more active in Zero Hunger (SDG2) and Life on Land (SDG15) than worldwide. Brazil South-South collaboration in published documents shows higher impact than North South in some areas. Collaboration priorities vary by region and triangulation with countries is high depending on language and region.

Reference patterns for thermoregulation in Italian Massese ewes.

The Massese is an autochthonous Italian sheep breed, used for meat and mainly milk production and thermoregulatory variations can directly affect the performance of these animals. We evaluated the thermoregulatory patterns of Massese ewes and identified the changes due to environmental variations. Data was collected from 159 healthy ewes from herds of four farms/institutions. For thermal environmental characterization, air temperature (AT), relative humidity (RH) and wind speed were measured, and Black Globe Temperature, Humidity Index (BGHI) and Radiant Heat Load (RHL) were calculated. The thermoregulatory responses evaluated were: respiratory (RR), heart rate (HR), rectal temperature (RT) and coat surface temperature (ST). All variables were subjected to analysis of variance with repeated measures over time. A factor analysis was conducted to determine the relationship between environmental and thermoregulatory variables. Multiple regression analyses were also examined using General Linear Models, and Variance Inflation Factors were calculated. Logistic and Broken line non-linear regressions for RR, HR and RT were analyzed. The RR and HR values were outside reference values and associated with normal values of RT. In the factor analysis, most environmental variables were seen to affect the thermoregulation pattern of the ewes, except for RH. In the logistic regression analysis, RT was not affected by any of the variables studied, maybe because BGHI and RHL were not sufficiently high enough. Nevertheless, BGHI and RHL affected RR and HR. The study shows a divergence for Massese ewes from reference thermoregulatory values for sheep.

Bibliographic mapping of animal genetic resources and climate change in farm animals.

Bibliometric mapping is a tool that allows you to visualize the academic production, as well as the publication trends over the years. In this study, we carried out the bibliometric mapping of citation, co-occurrence of keywords, co-citation, and bibliographic coupling for "animal genetic resources" and "climate change." Scopus was used to obtain the publication information and VOSViewer software to produce the maps. A total of 1171 documents were found from authors in 129 countries from 1975 to 2022. The USA, UK, and China are the top three countries producing scientific research on the topics of animal genetic resources and climate change. China is the country with the most recent publications. The USA, the UK, and China stood out in almost all the analyses, but other Asian and Latin American countries appear more recently and are becoming more important in this scenario. Most of the work is related to studies involving animal adaptation, conservation, and genetic diversity; however, in recent years, there has been an increasing amount of research involving genetic engineering, such as the use of genetic sequencing and single nucleotide polimorphism (SNP). This study can help to understand new research trends in the area of animal genetic resources and climate change and can assist in the development of future actions within the research community.

Bibliographic mapping for heat tolerance in pigs and poultry.

Heat tolerance, especially under climate change scenarios, plays an increasingly import factor in pig and chicken production. We therefore evaluated bibliographic mapping of citation, co-occurrence of keywords, co-citation and bibliographic coupling for heat tolerance, and these species. Data was obtained from Scopus (Elsevier) and analysed in Vosviewer. We found a total of 2023 documents from 102 countries, of which 10 countries account for 50% of the publications (USA, China, Brazil, Iran, India, UK, Turkey, Germany, Egypt, and Australia). While heat tolerance is important worldwide, Global South countries, especially China, have become more prominent in publishing on this topic in recent years. Researchers from South America appear relatively isolated using the metrics of this study, with no clear explanation why. We speculate funding for research and publication may be a governing factor. The literature reviewed suggests an emphasis on mitigation strategies that include nutrition and genetics. An emphasis in poultry, especially Gallus gallus was observed and suggests more attention is needed on other species (for example, ducks and turkey). Biases in the analysis could arise due to lack of citations from recent papers, those not indexed in Scopus or in other languages. The paper advances understanding tendencies in this field of research and may point to future actions for policy makers addressing animal production and climate change research.

Tropical Animal Health and Production: a 55-year bibliographic analysis setting the course for a globalized international reference journal.

In this paper, we carried out a bibliographic mapping analysis with data from Scopus on publications in Tropical Animal Health and Production (TAHP) from its creation. This analysis is important for the journal and its readership, as a self-evaluation in terms of the scope and impact of the journal and how it is changing as well as aiding the editors in shaping the future direction of the journal. A total of 6229 papers were found, with an average of 8.71 citations per paper. Article Influence, Percentage of papers in Open Access, Immediacy Index, and Journal Impact Factor have all risen in recent years, although improvements are still necessary. With a cited half-life of 7.2 years, the percentage of papers in international collaboration has stabilized since 2010 (around 40%), down from around a peak of 60% in 2006. The journal is a Q2 journal with 86.4% of its documents cited. Of all documents published, 2401 were classified in SDG3 (Good Health and Wellbeing) followed by SDG2 (Zero Hunger) with 136. We mapped citations, co-citations, and bibliographic coupling and identified major authors, sources, references, and countries publishing in TAHP. The journal continues to play a key role in advancing knowledge and understanding of animal health and production in tropical and sub-tropical regions and supporting the development of sustainable animal production and veterinary medicine in these vast regions of the globe.

Use of thermography and physiological rate to assess heat tolerance in cattle breeds.

Thermography has grown in use in recent years. It is a valuable tool for measuring animal heat tolerance under heat stress conditions since it is a non-invasive, safe and practical methodology. Physiological variables such as respiration rate and eye temperature, and environmental variables such as air temperature and wet bulb temperature were analysed in animals from nine cattle breeds (Angus, Braford, Brangus, Canchim, Charolais, Hereford, Nelore, Simmental and Santa Gertrudis) and one bubaline (Mediterranean) at Rio Grande do Sul, Brazil. Positive correlations were observed between air temperature and respiration rate and eye temperature. Furthermore, the breed strongly influenced the eye temperature and respiration rate of the animals. Eye temperature showed strong correlation with air temperature and wet bulb temperature. Simmental and Nelore animals presented higher eye temperature values. Simmental presented alteration in respiratory rate before the other breeds and Nelore was the last breed to present this alteration. The inflection points in the broken line analysis indicated the environmental temperature limits at which breeds begin to change their respiration to compensate for environmental variation. The use of thermography has proven to be a technique with possible application to evaluate the temperature of animals. Logistic regression analysis allows us to observe how each breed behaves with the temperature change. Using respiration rates and eye temperatures it was possible to identify physiological limits for comfort in different breeds of bovine. In the future it would be interesting to conduct additional studies using other physiological variables and also other indices of climatic conditions.

Performance, carcass, and meat traits of locally adapted Brazilian cattle breeds under feedlot conditions.

Little is known about the performance, carcass, and meat traits of locally adapted cattle in Brazil. This study aimed to compare the growth, slaughter, and carcass traits as well as meat quality of two local breeds (Curraleiro Pé-Duro and Pantaneiro) with the Nelore breed. Fifteen 30-month-old steers of each breed were weighted (Curraleiro Pé-Duro = 264.80 kg; Nelore = 346.80 kg; Pantaneiro = 316.20 kg) and raised in a feedlot condition for 112 days, with measurements to assess growth and slaughter, visual and carcass and meat traits. Data were submitted to variance and multivariate analyses. Nelore and Curraleiro Pé-Duro had similar Gluteus medius depths. Pantaneiro and Curraleiro Pé-Duro were superior for leg compactness index (P < 0.05) and had higher eye muscle area than Nelore (P < 0.05). Although there was no difference in daily weight gain and slaughter weight between breeds, Curraleiro Pé-Duro had a lower initial weight (264.80 kg) when compared to Nelore (346.80 kg; P < 0.05). Nelore and Curraleiro Pé-Duro deposited more fat than Pantaneiro (P < 0.05), while Curraleiro Pé-Duro and Pantaneiro had more muscle than Nelore (P < 0.05), which also had more bone and a higher percentage of second-quality cuts (P < 0.05). Meat from Nelore also showed lower succulence than Pantaneiro (P < 0.05) and higher shear force than the other breeds (P < 0.05). Pantaneiro's meat had the most capacity to retain water (P < 0.05), lower shear force (P < 0.05), and was more succulent (P < 0.05) when compared to the other breeds. Multivariate analysis showed that Pantaneiro, Curraleiro Pé-Duro, and Nelore breeds can be considered distinct in growth, carcass, and meat traits, with the local breeds showing superior meat traits. The local breeds Curraleiro Pé-Duro and Pantaneiro presented characteristics similar or better to those of the Nelore, proving to be animals with great productive potential and generate high meat quality under feedlot conditions.

Selection signatures for heat tolerance in Brazilian horse breeds.

Since domestication, horse breeds have adapted to their environments and differentiated from one another. This paper uses two methods to detect selection signatures in 23 horse breeds, eight of which are Brazilian (610 animals), both cold-blooded and warm-blooded, from temperate and tropical regions. These animals were genotyped using the GGP Equine BeadChip and we analysed the data by Principal Component Analysis (PCA). The samples were separated into groups based on their geographical area of origin and PCA results studied. The genomic regions under selection were detected by hapFLK and PCAdapt methodologies, identifying six regions under selection with at least one Brazilian horse breed. These regions contain genes associated with heat tolerance, skin colour, body size, energy production/metabolism, genes involved in protein degradation/turnover/DNA repair, genes reducing the impact of oxidative stress/cellular repair, and transcriptional regulation. This work confirmed LCORL and NCAPG gene regions in previous studies associated with body size on Equine Chromosome Autosome 3 (ECA3). On the same ECA3, a region implicating genes linked to coat colour was identified, also previously related to heat stress. Regions with genes coding heat shock proteins were found on ECA1 and 2, and many candidate genes for oxidation-reduction which are a natural response to heat stress. However, a larger sample size and whole-genome SNPs are needed to understand better and identify new candidate regions as well as their functional relation with heat tolerance.

Piroplasmid infection is not associated with clinicopathological and laboratory abnormalities in cats from Midwestern Brazil.

Feline piroplasmids include the genera Babesia spp., Cytauxzoon spp., and Theileria spp. In Brazil, there are few reports regarding these hemoprotozoans; however, clinicopathological and molecular data are scarce. This study aimed to characterize the clinical relevance of these parasites through hematological, biochemical, and molecular approaches. For this purpose, 166 cats from Brasilia, Federal District, Midwestern Brazil, were screened using a quantitative polymerase chain reaction (qPCR) for piroplasmids based on the LSU4 mitochondrial gene, which resulted in an overall prevalence of 36/166 (21.7%). Twelve of 166 samples (7.2%) were positive for C. felis, while 19/166 (11.4%) were positive for Babesia vogeli. No samples tested positive for Theileria spp. Babesia vogeli and Cytauxzoon spp. LSU4 sequences showed identities of 97-100% and 99.3%, respectively, to US isolates. The hematological and biochemical findings did not differ significantly between the cats that tested positive and negative for piroplasmids. Although the lack of abnormalities in clinical and laboratory parameters does not eliminate the possibility that these cats were sick and recovered, it may suggest that the Brazilian strain of Cytauxzoon spp. is not as pathogenic as that from the USA, despite the high molecular identity with North American isolates.

Effects of replacing corn with by-product from biscuit manufacture on feed intake, digestibility, nitrogen balance, ingestive behavior, and growth performance of pure or crossbred Morada Nova sheep.

An experiment was carried out to evaluate the effects of replacing corn with by-product from biscuit manufacture (BBM) on feed intake, digestibility, nitrogen balance, ingestive behavior, and growth performance of pure or crossbred Morada Nova sheep. Twenty-four non-castrated male lambs from two genetic groups (GG) were used: purebred red-coated Morada Nova (RMN) and red-coated Morada Nova x white-coated Morada Nova. Each GG had 12 lambs with an initial body weight (BW) of 15.0±0.84 and 18.8±0.88 kg for RMN and crossbred lambs, respectively. Treatments were distributed in a completely randomized design, according to a 2 × 2 factorial arrangement, as follows: two genetic groups (RMN and crossbred) and two diets (ground corn and by-product from biscuit manufacture-BBM) with six replicates. There was no effect (p > 0.05) of GG on feed intake (g/day and as a fraction of BW). Lambs fed BBM had a lower feed intake (p < 0.05) than corn-fed lambs, except for the non-fibrous carbohydrate intake, which did not differ among diets (p > 0.05). No effects (p > 0.05) of GG or diets were observed on apparent digestibility, except for organic matter, which was higher for BBM-fed lambs (p < 0.05). Intake and N urinary excretion were lower (p < 0.05) for BBM-fed lambs when compared to corn-fed lambs. There was no effect (p > 0.05) of GG on growth performance. On the other hand, lambs fed BBM diet had a higher (p < 0.05) feed efficiency than corn-fed lambs. Total replacing corn with BBM in finishing lamb diets increases the efficiency of nutrient utilization, which results in higher feed efficiency. The crossbreeding between the red- and white-coated strains of Morada Nova sheep does not affect nutritional and growth performance.