Influence of season on herd size and birth rate of small-holder goats in the Southern Guinea Savanna

The study aimed to evaluate the influence of season on herd size and the birth rate of goats in Southern Guinea Savanna, Nigeria. The study was carried out in Idah, Kogi State, Nigeria. A total of 54 households from 6 villages were used for the evaluation. Structured questionnaires on the socio-economic characteristics of the goat owners were administered. Data on the reproductive performance of goats were collected by visual appraisal. The data collected were on herd size, sex, number of pregnant goats, lactating goats and newly weaned kids. The result showed that more women (63.6%) were involved in goat rearing than males (36.4%), and about 91.6% of the respondents had a herd size of 1-20 goats, while only 8.4% had a herd size of 21-30. The goat herd distribution showed that the average herd size was 16.5goats, within the range of 7 to 30 goats. The herd structure was 391 females and 184 males. Three breeds of goats were identified, the West African Dwarf (WAD) goats being the dominant (397), followed by Maradi (Red Sokoto) breed (113), and the least was Pygmy breed (75). Season significantly influenced pregnancy and the number of lactating goats. There were more lactating goats during the cold-wet period and more pregnant goats during the hot-dry season. It was concluded that goat production is still at the peasant level, and goats were kept as a supplementary source of income. The conception rate was high during the cold-dry season, which was manifested in the hot-dry season. More awareness is still needed to increase the production of goats in the area. We recommend a reproduction program should be targeted during the cold-dry season where the conception rate is high.

Earliest evidence of herd-living and age segregation amongst dinosaurs

Sauropodomorph dinosaurs dominated the herbivorous niches during the first 40 million years of dinosaur history (Late Triassic–Early Jurassic), yet palaeobiological factors that influenced their evolutionary success are not fully understood. For instance, knowledge on their behaviour is limited, although herding in sauropodomorphs has been well documented in derived sauropods from the Late Jurassic and Cretaceous. Here we report an exceptional fossil occurrence from Patagonia that includes over 100 eggs and skeletal specimens of 80 individuals of the early sauropodomorph Mussaurus patagonicus, ranging from embryos to fully-grown adults, with an Early Jurassic age as determined by high-precision U–Pb zircon geochronology. Most specimens were found in a restricted area and stratigraphic interval, with some articulated skeletons grouped in clusters of individuals of approximately the same age. Our new discoveries indicate the presence of social cohesion throughout life and age-segregation within a herd structure, in addition to colonial nesting behaviour. These findings provide the earliest evidence of complex social behaviour in Dinosauria, predating previous records by at least 40 My. The presence of sociality in different sauropodomorph lineages suggests a possible Triassic origin of this behaviour, which may have influenced their early success as large terrestrial herbivores.

Herd clustering strategies and corresponding genetic evaluations based on social–ecological characteristics for a local endangered cattle breed

The accuracy of breeding values strongly depends on the population and herd structure, i.e., the number of animals considered in genetic evaluations and the size of contemporary groups (CGs). Local breeds are usually kept in small-sized family farms under alternative husbandry conditions. For such herd structure, consideration of classical herd or herd-test-day effects in CG modeling approaches implies only a few records per effect level. In consequence, the present study aimed on methodological evaluations of different herd clustering strategies, considering social–ecological and herd characteristics. In this regard, we considered 19 herds keeping cows from the small local population of German Black Pied cattle (Deutsches Schwarzbuntes Niederungsrind; DSN), 10 herds keeping Holstein Friesian (HF) cows and one mixed herd with HF and DSN cows. Herds were characterized for 106 variables, reflecting farm conditions, husbandry practices, feeding regime, herd management, herd fertility status, herd health status and breeding strategies as well as social–ecological descriptors. The variables were input data for different clustering approaches including agglomerative hierarchical clustering (AHC), partition around medoids (PAM), fuzzy clustering (FZC) and a clustering of variables combined with agglomerative hierarchical clustering (CoVAHC). The evaluation criterion was the average silhouette width (ASW), suggesting a CoVAHC application and consideration of four herd clusters (HCs) for herd allocation (ASW of 0.510). HC1 comprised the larger, half organic and half conventional DSN family farms, which generate their main income from milk production. HC2 consisted of small organic DSN family farms where cows are kept in tie stables. HC3 included the DSN sub-population from former East Germany, reflecting the large-scale farm types. The specialized HF herds were well separated and allocated to HC4. Generalized linear mixed models with appropriate link functions were applied to compare test-day and female fertility traits of 5538 cows (2341 DSN and 3197 HF) from the first three lactations among the four HCs. Least squares means for milk, fat and protein yield (Mkg, Fkg and Pkg) significantly differed between HC. The significant differences among the four HCs clearly indicate the influence of varying herd conditions on cow traits. The similarities of herds within HC suggested the application of HCs in statistical models for genetic evaluations for DSN. In this regard, we found an increase of accuracies of estimated breeding values of cows and sires and of heritabilities for milk yield when applying models with herd-cluster-test-day or herd-cluster-test-month effects compared to classical herd-test-day models. The identified increase for the number of cows and cow records in CG due to HC effects may be the major explanation for the identified superiority.

Proboscidea from the Baynunah Formation

The Baynunah Formation provides the only late Miocene record of fossil proboscideans from the Arabian Peninsula, identifiable as a deinothere, tetralophodont gomphothere(s), and stegotetrabelodont elephant. Ichnofossils show the oldest evidence for modern-type elephant herd structure. The elephant sample is particularly abundant, and newly-recovered fossils yield critical evidence about their systematics and biology. Comparative results show that the Baynunah stegotetrabelodont belongs in a new species, and that in many ways it is the most primitive of all elephants —supporting a geological age of 8.0-6.0 Ma—consistent with having evolved in Afro-Arabia from Tetralophodon between 9.0-8.0 Ma. Body size analyses reveal that these elephants were exceptionally tall and heavy, possibly exceeding 10,000 kg. Tooth emergence is reconstructed as dp2-dp3-dp4-p3-m1-p4- m2-m3. The taxonomic composition and dietary preferences of the Baynunah proboscideans indicate the presence of heterogeneous local habitats in the region during the late Miocene, though the high abundance of the stegotetrabelodont, and the rarity of the deinothere and gomphothere(s) indicate a dominance of grassland habitats and a lesser representation of wooded areas.

The impact of scientific and information support for agro-industrial production entities on the performance of livestock production sector

The state of livestock production industry in Kazakhstan is considered, the problems of its development are outlined. The importance of livestock production for ensuring the country's food security in the context of the decrease in business activity due to quarantine restrictions has been updated. The role of investment in the growth of economic indicators based on implementation of the State program "Information support of agro-industrial complex entities on gratuitous basis" is analyzed. The activities aimed at its implementation in 2020 are shown. The authors emphasize the need to provide innovative technologies and results of modern scientific research on livestock production for agricultural producers on national scale. Forecast calculations of the expected increase in the value of commercial products of livestock production sector when using innovations in feeding, improving herd structure, breeding, care and veterinary services are presented. Based on the analysis of deviations of the actual animal productivity from their standard breed indicators, the volume of shortage of marketable products was determined, first of all, which are associated with low level of organization of animal keeping, namely: diet, fertilization, prevention of morbidity, treatment, lack of modern methods of forming of livestock structure, breeding work. The authors point to one of the reasons for the imperfect management system in livestock production - lack of awareness of farmers about new technologies and approaches to solving livestock and veterinary problems. It is concluded that effective support of scientists and specialists with information on advanced production experience is the basis for making informed decisions on technological modernization of agricultural production based on the latest domestic and foreign progressive methods.

Small holder herd structure of West African Dwarf goats in a derived savannah environment area of Nigeria

The herd structure of small holder farmers engaged in the keeping of West African dwarf goats in Surulere Local government area of Ogbomosho, a derived Savannah zone of Oyo State, Nigeria was surveyed. 30 flock owners having a total of 273 goats were randomly selected and studied using structured questionnaire, on farm visit and personal interviews. The parameters measured include age, sex and occupation of the farmers; Age, sex and number of animals kept, sources of foundation stock, housing type; major problems facing the farmers; time, mode, ease, peak and age of animal disposal. The result indicated that middle age men and married women were more into goat rearing. The herd size ranged from 6.67 – 12.33 goats per farmer with an overall average of 9.10. Goats kept were fairly young. In most cases, stock foundation were acquired through gift and purchase from neighbours. Semi-intensive system of management was mostly embraced because it is less risky, low labour and cost inputs were involved. The major limiting factor is the health problem.

THE HERD STRUCTURE OF BREEDING DOES OF SMALL HOLDER RED SOKOTO GOAT

A study to ascertain the heard structure of breeding does of small holder goat production system was conducted in Kano using l5 goat herds selected at random in 3 villages.A total of 250 breeding does were involved. The results indicate that parity of does in the observed herds ranged from one to ten.Twelve percent of the does within the age range, 5-25 months were yet to kid for the first time.In the herds, does that did not kid at least once, up to the age of 25 months were culled. However, majorities of the does were in their 2nd and 3rd parities and within the age range of 12-25 months. Twinning was common at 1st parity, irrespective of the age of does. Parity and litter size of does were the major determining factors on the observed herd structure for the breeding does.The observed structure indicates that <12 months does constitute 20% of the herd; 12-25 months 48%; 26-39months 11.2% and; > 40months 20.8%.Breeding does leave the herds starting from the 25th month of age at parity 2,4, 7 and 10, respectively.

Instance Segmentation with Mask R-CNN Applied to Loose-Housed Dairy Cows in a Multi-Camera Setting

With increasing herd sizes came an enhanced requirement for automated systems to support the farmers in the monitoring of the health and welfare status of their livestock. Cattle are a highly sociable species, and the herd structure has important impact on the animal welfare. As the behaviour of the animals and their social interactions can be influenced by the presence of a human observer, a camera based system that automatically detects the animals would be beneficial to analyse dairy cattle herd activity. In the present study, eight surveillance cameras were mounted above the barn area of a group of thirty-six lactating Holstein Friesian dairy cows at the Chamber of Agriculture in Futterkamp in Northern Germany. With Mask R-CNN, a state-of-the-art model of convolutional neural networks was trained to determine pixel level segmentation masks for the cows in the video material. The model was pre-trained on the Microsoft common objects in the context data set, and transfer learning was carried out on annotated image material from the recordings as training data set. In addition, the relationship between the size of the used training data set and the performance on the model after transfer learning was analysed. The trained model achieved averaged precision (Intersection over union, IOU = 0.5) 91% and 85% for the detection of bounding boxes and segmentation masks of the cows, respectively, thereby laying a solid technical basis for an automated analysis of herd activity and the use of resources in loose-housing.

Proximity Interactions in a Permanently Housed Dairy Herd: Network Structure, Consistency, and Individual Differences

Understanding the herd structure of housed dairy cows has the potential to reveal preferential interactions, detect changes in behavior indicative of illness, and optimize farm management regimes. This study investigated the structure and consistency of the proximity interaction network of a permanently housed commercial dairy herd throughout October 2014, using data collected from a wireless local positioning system. Herd-level networks were determined from sustained proximity interactions (pairs of cows continuously within three meters for 60 s or longer), and assessed for social differentiation, temporal stability, and the influence of individual-level characteristics such as lameness, parity, and days in milk. We determined the level of inter-individual variation in proximity interactions across the full barn housing, and for specific functional zones within it (feeding, non-feeding). The observed networks were highly connected and temporally varied, with significant preferential assortment, and inter-individual variation in daily interactions in the non-feeding zone. We found no clear social assortment by lameness, parity, or days in milk. Our study demonstrates the potential benefits of automated tracking technology to monitor the proximity interactions of individual animals within large, commercially relevant groups of livestock.