CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring.

Dairy is an economically significant industry that caters to the huge demand for food products in people's lives. To remain profitable, farmers need to manage their farms and the health of the dairy cows in their herds. There are, however, many risks to cow health that can lead to significant challenges to dairy farm management and have the potential to lead to significant losses.

Early detection of subclinical mastitis in lactating dairy cows using cow-level features.

Subclinical mastitis in cows affects their health, well-being, longevity, and performance, leading to reduced productivity and profit. Early prediction of subclinical mastitis can enable dairy farmers to perform interventions to mitigate its effect. The present study investigated how well predictive models built using machine learning techniques can detect subclinical mastitis up to 7 d before its occurrence.

Comparative analysis of the two suborders of Thysanoptera and characterization of the complete mitochondrial genome of Thrips parvispinus.

Thrips parvispinus is a serious sucking pest on a number of economically important crops in the oriental region. It has gained importance recently for its drastic range extension distribution as an invasive pest. Here, the complete mitochondrial genome (15,067 bp) of Thrips parvispinus was sequenced and characterized.

Gene arrangement, phylogeny and divergence time estimation of mitogenomes in Thrips.

Background: The metazoan mitogenomes usually display conserved gene arrangement while thrips are known for their extensive gene rearrangement, and duplication of the control region.

Methods And Result: We sequenced complete mitogenomes of eight species of thrips to determine the gene arrangement, phylogeny and divergence time estimation. All contain 37 genes and one control region, (CR) except four species with two CRs.

Gene rearrangement in the mitogenome of whiteflies (Hemiptera: Aleyrodinae) along with their phylogeny and characterization of complete mitogenome of Aleurodicus rugioperculatus.

Background: Mitochondrial genome rearrangements have been used for defining evolutionary relationships, but there have been incidences of convergences at different taxonomic levels. To gain new insights into whitefly mitogenome evolution, gene arrangement and phylogeny, we sequenced the complete mitogenome of Aleurodicus rugioperculatus (Aleyrodidae: Aleurodicinae) and conducted a comparative analysis with the previously published mitogenomes across the family Aleyrodidae.

Methods And Results: The complete mitogenome of Aleurodicus rugioperculatus was generated by Next generation sequencing method.