Ovarian and uterine disturbances occured in the puerperium of cows and their relationship with progesterone in the milk

Mediante exames semanais de palpação retal em 72 vacas leiteiras até o 42°dia pós-parto (p.p.) e dosagens de progesterona através do radioimunoensaio (RIE) e do enzimimunoensaio (EIE) até o 72° dia p.p., verificou-se que 9,7% dos animais portavam cistos foliculares, 6,9% tiveram aciclia completa, 6,9% tinham corpo lúteo persistente ou cisto luteínico, 22,2% foram acometidos de endometrite e 6,9% possuíam endometrite associada com cistos foliculares. Os cistos foliculares tiveram lugar, em média, no 29 ± 8,1° dia p.p., ao passo que o primeiro pico de progesterona ocorreu no 56,4 ± 7,8°dia p.p. Casos de cistos luteínicos ou corpo lúteo persistente ocorreram somente após o 42° dia p.p. Manobras obstétricas indevidas por ocasião do parto podem elevar em muito a incidência de endometrite num dado rebanho.Seventy-two dairy cows were submitted to weekly rectal palpation exames until 42nd day post-parturition (p.p.) and progesterone dosages by Radioimmunoassay (RIA) and Enzymimmunoassay (EIA) until the 72nd day p.p., were performed. It was observed that 9.7% of the animals bore follicular cysts, 6.9% were completely acyclic, 6.9% had corpus luteum persistens or luteinic cyst, 22.2% were affected by endometritis and 6.9% had endometritis associated with follicular cysts. Follicular cysts appeared in average on the 29 ± 8.1 day p.p. while the first progesterone peak occurred on the 56.4 ± 7.8 day p.p. Cases of luteinic cysts or corpus luteum persistens appeared only after the 42nd day p.p. Inadequate obstetric manipulations at parturition time could rise very much the endometritis incidence in a given herd

Data from: Trophic level, successional age and trait matching determine specialization of deadwood-based interaction networks of saproxylic beetles

The specialization of ecological networks provides important insights into possible consequences of biodiversity loss for ecosystem functioning. However, mostly mutualistic and antagonistic interactions of living organisms have been studied, whereas detritivore networks and their successional changes are largely unexplored. We studied the interactions of saproxylic (deadwood-dependent) beetles with their dead host trees. In a large-scale experiment, 764 logs of 13 tree species were exposed to analyse network structure of three trophic groups of saproxylic beetles over 3 successional years. We found remarkably high specialization of deadwood-feeding xylophages and lower specialization of fungivorous and predatory species. During deadwood succession, community composition, network specialization and network robustness changed differently for the functional groups. To reveal potential drivers of network specialization, we linked species' functional traits to their network roles, and tested for trait matching between plant (i.e. chemical compounds) and beetle (i.e. body size) traits. We found that both plant and animal traits are major drivers of species specialization, and that trait matching can be more important in explaining interactions than neutral processes reflecting species abundance distributions. High network specialization in the early successional stage and decreasing network robustness during succession indicate vulnerability of detritivore networks to reduced tree species diversity and beetle extinctions, with unknown consequences for wood decomposition and nutrient cycling

Wood Chemistry

Data sheet containing information about the wood compounds used for analyses in the publication

Data of SaproxlyicBeetles

Data sheet containing information about the sampled saproxylic beetle