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Nowadays, several countries are developing or adopting genomic selection in the dairy goat sector. The most used method to estimate breeding values is Single-Step Genomic Best Linear Unbiased Prediction (ssGBLUP) which offers several advantages in terms of computational process and accuracy of the estimated breeding values (EBVs). Saanen and Alpine are the predominant dairy goat breeds in Italy, and both have similar breeding programs where EBVs for productive traits are currently calculated using BLUP. This work describes the implementation of genomic selection for these two breeds in Italy, aligning with the selection practices already carried out in the international landscape. The available dataset included 3 611 genotyped animals, 11 470 lactation records, five traits (milk, protein and fat yields, and fat and protein percentages), and three-generation pedigrees. EBVs were estimated using BLUP, GBLUP, and ssGBLUP both with single and multiple trait approaches. The methods were compared in terms of correlation between EBVs and genetic trends. Results were also validated with the linear regression method excluding part of the phenotypic data. In both breeds, EBVs and GEBVs were strongly correlated and the trend of each trait was similar comparing the three methods. The average increase in accuracy across traits and methods amounted to +13 and +10% from BLUP to ssGBLUP for Alpine and Saanen breeds, respectively. Results indicated higher prediction accuracy and correlation for GBLUP and ssGBLUP compared to BLUP, implying that the use of genotypes increases the accuracy of EBVs, particularly in the absence of phenotypic data. Therefore, ssGBLUP is likely to be the most effective method to enhance genetic gain in Italian Saanen and Alpine goats.

The study aimed to evaluate the effects of different stages of lactation (0 to > 300 d) and pregnancy (0 to > 180 d) on serum amyloid A (SAA), C-reactive protein (CRP), glucose, total cholesterol (TCho), and triglyceride (TG) concentrations in dairy cows of different breeds. Thus, 40 healthy multiparous cows (10 Holstein, 10 Simmental, 10 Brown, and 10 Modicana) were randomly selected, and blood samples were collected once every 60 d for 1 year. Overall, SAA and CRP serum concentrations progressively increased and became more variable along the lactation, peaking at > 240–300 d, and then decreased in the last period (> 300 d). Along pregnancy, SAA and CRP initially increased, with the highest concentrations at > 60–120 d, and then decreased until the last phase of pregnancy (> 180 d). However, lactation and gestation phases did not significantly affect SAA and CRP when all the cows were analyzed together. A significant and positive correlation was observed between SAA and CRP both along lactation (r=0.89; p<0.0001) and pregnancy (r=0.91; p<0.0001). Breeds only showed differences in CRP levels along gestation (p=0.0102), due to a peak registered at 0–60 d in Holstein cows. In pregnant cows, glucose was positively correlated with SAA (r=0.43; p=0.0017) and CRP (r=0.42; p=0.0019). Hence, these significant and positive relationships reflect the physiological adaptations of the dairy cows along both gestational and lactational dynamics, suggesting that these proteins may also be involved in non-pathological processes. In this perspective, this study established that the obtained response markedly varies among healthy individuals along lactation and gestation and thus that the physiological range of acute-phase proteins (APPs) is wide; this makes it difficult to use these proteins as a marker of different physiological reproductive and productive periods.

The study provides baseline data regarding 17-β-estradiol (E2), progesterone (P4), and cortisol profile of 30 Nicastrese goats during different physiological periods. Animals were evaluated monthly from the pre-mating period (non-pregnant), during pregnancy, and from 30 to 105 d of lactation. The effects of single or twin births and the kid's sex were also considered. Serum E2, P4, and cortisol concentrations were measured using immunoenzymatic assay kits. The highest concentrations of E2 and P4 (P) were found during pregnancy and their lowest values (P) in the non-pregnant period. E2 was negatively correlated with P4 (r=-0.41; P) during lactation. The mothers with twin kids showed the highest concentration of P4 (P) at > 95–115 d of gestation and the lowest of E2 (P) at > 50–70 d of lactation. Pregnant goats carrying male kid(s) presented the highest E2 concentrations (P) at > 130–150 d of gestation. Different physiological conditions induced a temporal relationship with the endocrine profile in Nicastrese goats. Understanding the effects of single or twin fetuses on the gestation and lactation will also be helpful to improve the managemental approach for the health of mothers and their kids.

Lactation in dairy cows implies comprehensive endocrine and metabolic changes including a systemic electrolytic reaction. Previous studies have rarely considered these specific demands due to the influence of lactation periods. Therefore, this study aimed to assess the effects of early, middle, and late lactation phases on the dynamic changes in serum concentrations of progesterone (P4), 17β-oestradiol (E2), cortisol, and some electrolytes (Ca++, Mg++, Na+, K+, Cl−, Pi) and biochemical parameters (alanine aminotransferase (ALT), aspartate aminotransferase (AST), lactate dehydrogenase (LDH), creatine kinase (CK), total bilirubin, urea, and iron (Fe++) in 10 Holstein, 10 Brown Swiss, and 10 Modicana multiparous healthy dairy cows (4.2 ± 1.7 years of age) sampled at 60-day intervals throughout lactation. Lactation induced significant changes in the concentrations of P4, which peaked at >120–180 days, decreased at >240–300 days, and increased again after 300 days. Cortisol showed an opposite trend to P4, with concentrations progressively decreasing, except for the phase between >240 and 300 days, and a steep drop at >300 days compared to previous phases. Na+ concentrations showed the lowest values at 0–60 d and the highest ones at >180–240 days, whereas Mg++ showed the highest values at >60–120 d and the lowest at >300 d. Significant correlations were found between P4 with cortisol, Cl− and K+, and cortisol with Ca++ and LDH. Significant differences in average concentrations of AST, ALT, LDH, Ca++, Mg++, and Fe++ were observed among different dairy cow breeds. Understanding the dynamic changes in hormone levels, electrolytes, and biochemical parameters during different lactation phases, while considering breed differences in dairy cows, is crucial for improving herd health management and milk production in commercial dairy farms.

About ten years ago, a blogger writing under a pseudonym set out to prove that Ophelia, in Shakespeare's Hamlet, does not die, but metamorphoses into a "floral being [être floral]" (Jazzthierry, 2010). In order to elaborate this improbable possible text, which has not had a great posterity, the blogger summons a very personal "probablibrary [probabliothèque]" (William Marx, Les Étoiles nouvelles, 2021), which he opposes to "the finest of specialists [la fine fleur des spécialistes]" and to "four centuries [quatre siècles]" of misinterpretation. In the light of this hypothesis of singular (and playful) reading, this article proposes to reflect on the "liberties of the reader [libertés du lecteur]" (Michel de Certeau, L'Invention du quotidien, 1980) and on the various calculations of probability that we routinely engage in to identify what David Lewis has called "truth in fiction" ("Truth in fiction", 1978).

Simple Summary: The priority of the lactating animal is to provide the mammary gland with nutrients via metabolic changes orchestrated by several mechanisms, and more specifically, by the dynamic crosstalk between steroid hormones and some hematological analytes. The present study provides new evidence that occurs at the onset of lactation and throughout the lactation period in 10 Holstein, 10 Brown Swiss, and 10 Modicana healthy dairy cows, showing that lactation induces significant changes in circulating progesterone, cortisol, sodium, and magnesium concentrations. The breeds showed a significant effect on liver enzyme (AST, ALT, and LDH) activities and the concentration of calcium and magnesium, according to the early, middle, and late phases of lactation. Significant correlations were recorded for progesterone with cortisol, chlorine, and potassium, and for cortisol with calcium and LDH. Understanding the differences among breeds might improve their management, nutrition, and productivity in commercial dairy farms. Lactation in dairy cows implies comprehensive endocrine and metabolic changes including a systemic electrolytic reaction. Previous studies have rarely considered these specific demands due to the influence of lactation periods. Therefore, this study aimed to assess the effects of early, middle, and late lactation phases on the dynamic changes in serum concentrations of progesterone (P4), 17β-oestradiol (E2), cortisol, and some electrolytes (Ca++, Mg++, Na+, K+, Cl−, Pi) and biochemical parameters (alanine aminotransferase (ALT), aspartate aminotransferase (AST), lactate dehydrogenase (LDH), creatine kinase (CK), total bilirubin, urea, and iron (Fe++) in 10 Holstein, 10 Brown Swiss, and 10 Modicana multiparous healthy dairy cows (4.2 ± 1.7 years of age) sampled at 60-day intervals throughout lactation. Lactation induced significant changes in the concentrations of P4, which peaked at >120–180 days, decreased at >240–300 days, and increased again after 300 days. Cortisol showed an opposite trend to P4, with concentrations progressively decreasing, except for the phase between >240 and 300 days, and a steep drop at >300 days compared to previous phases. Na+ concentrations showed the lowest values at 0–60 d and the highest ones at >180–240 days, whereas Mg++ showed the highest values at >60–120 d and the lowest at >300 d. Significant correlations were found between P4 with cortisol, Cl− and K+, and cortisol with Ca++ and LDH. Significant differences in average concentrations of AST, ALT, LDH, Ca++, Mg++, and Fe++ were observed among different dairy cow breeds. Understanding the dynamic changes in hormone levels, electrolytes, and biochemical parameters during different lactation phases, while considering breed differences in dairy cows, is crucial for improving herd health management and milk production in commercial dairy farms. [ABSTRACT FROM AUTHOR]

Abstract Background Climate and farming systems, several of which are considered as low-input agricultural systems, vary between goat populations from Northern and Southern Italy and have led to different management practices. These processes have impacted genome shaping in terms of inbreeding and regions under selection and resulted in differences between the northern and southern populations. Both inbreeding and signatures of selection can be pinpointed by the analysis of runs of homozygosity (ROH), which provides useful information to assist the management of this species in different rural areas. Results We analyzed the ROH distribution and inbreeding (F ROH) in 902 goats from the Italian Goat Consortium2 dataset. We evaluated the differences in individual ROH number and length between goat breeds from Northern (NRD) and Central-southern (CSD) Italy. Then, we identified the signatures of selection that differentiate these two groups using three methods: ROH, ΔROH, and averaged F ST. ROH analyses showed that some Italian goat breeds have a lower inbreeding coefficient, which is attributable to their management and history. ROH are longer in breeds that are undergoing non-optimal management or with small population size. In several small breeds, the ROH length classes are balanced, reflecting more accurate mating planning. The differences in climate and management between the NRD and CSD groups have resulted in different ROH lengths and numbers: the NRD populations bred in isolated valleys present more and shorter ROH segments, while the CSD populations have fewer and longer ROH, which is likely due to the fact that they have undergone more admixture events during the horizontal transhumance practice followed by a more recent standardization. We identified four genes within signatures of selection on chromosome 11 related to fertility in the NRD group, and 23 genes on chromosomes 5 and 6 related to growth in the CSD group. Finally, we identified 17 genes on chromosome 12 related to environmental adaptation and body size with high homozygosity in both groups. Conclusions These results show how different management practices have impacted the level of genomic inbreeding in two Italian goat groups and could be useful to assist management in a low-input system while safeguarding the diversity of small populations.

The objective of the paper is to create a concept of what securing the claim is, based on the positive legislation of Kosovo’s law, comparing its regulation with laws of somewhat similar legislations of neighbouring regions, understanding its implementation in practice, to achieve conclusions and remarks based on law, facts, practice, and the comparative aspect. The Civil Procedure Law in the Republic of Kosovo is regulated with contested, non-contested or enforcement procedure. Securing the claim is an institute expressively regulated by the “Law on Contested Procedure of the Republic of Kosovo” on its XXI Chapter that defines its means and types.

Climate change and heat stress pose significant challenges to livestock. Local breeds, particularly small ruminants, are gaining importance due to their adaptability to harsh climates. However, the extensive system they are commonly reared in leaves them exposed to the effects of climate change. This study aims to describe the distribution and climate-related challenges faced by registered Italian sheep and goat breeds over the past seven decades. Geolocalized data from all registered small ruminant farms were combined with climatic information retrieved from the "ERA-5-Land hourly data from 1950 to present" dataset. These data were used to calculate average daily temperature, temperature humidity index (THI), and total precipitation during summer. Additionally, THI-based heat waves (HWs) were examined, including the yearly number of HW days and mean THI during HW days. These data were analysed through linear regression models including region or breed, year, and their interaction as fixed factors. The climate data indicate a concerning trend of rising summer temperatures, THI, and HW frequency and intensity, particularly over the past three decades. Central-northern Italy, including the Po Valley and the Alpine Arch, is the most affected region, impacting breeds like Rosset and Brogne sheep, and Lariana and Frisa Valtellinese goats. This is of particular concern because these populations have not been selected for hot climates, and their already small population size exacerbates the problem. Conversely, southern Italy, characterized by hotter and drier temperatures, remained relatively stable. Breeds from this region, such as Girgentana and Nicastrese goats and Nera di Arbus sheep, might represent excellent case studies for climatic adaptation and potential resources for selection for resilience in the face of ongoing climate changes. The findings presented here are essential for the development of monitoring and intervention strategies for breeds facing future vulnerabilities, as well as for designing experiments to explore environmental adaptability in small ruminants. [ABSTRACT FROM AUTHOR]

Simple Summary: In mammals, serotonin (5-hydroxytriptamine, 5-HT) is involved in many metabolic functions, including intestinal peristalsis, vasoconstriction, sleep, appetite, anxiety, and depression. The investigative hypothesis underlying this study was that different ages and productive aptitudes may affect 5-HT, thyroid hormones, and cortisol plasma concentrations and could explain possible interactions among them in cows. Our results showed significantly lower T3 concentrations in milk production aptitude cows than in meat production aptitude ones, a significant effect of age on T4 concentrations both in beef and dairy aptitude cows, and a positive and significant correlation for T4 with T3 and 5-HT in meat production-only cows. Monitoring of 5-HT, THs, and cortisol circulating concentrations could be a practical application to monitor the animal's physiological adaptation processes. Cattle productivity, whether in terms of meat yield or milk production, is intricately regulated by a multitude of factors. Among them, hormone concentrations play a significant role, reflecting the complex interplay between endocrine regulation and physiological processes that ultimately determine the efficiency and yield of production. High concentrations of 5-hydroxytriptamine (5-HT) are associated with a reduced metabolic load at the onset of lactation and a lower milk yield. Thyroid hormones (THs) and cortisol also affect several metabolic pathways, including carbohydrate, protein, and lipid metabolism. The aim of this study was to assess if milk or meat aptitudes and age influence circulating 5-HT, THs, and cortisol concentrations, investigating the possible interactions among these parameters. The research was performed on 46 healthy cows of three different breeds. Enzyme-linked immunosorbent assay (ELISA) methods were used to quantify circulating 5-HT and cortisol concentrations, and an immunochemiluminescent analyzer was used for THs. For parameters exhibiting non-normal distributions, an ANCOVA model using age, aptitude, and their interaction as fixed factors was applied. Significant lower T3 concentrations were recorded in dairy cows than in meat cows. Moreover, T4 significantly decreased with advancing age both in cows aimed at milk and meat production. Lastly, T4 was positively correlated with T3 and 5-HT in meat production-oriented cows. [ABSTRACT FROM AUTHOR]