Brainfood: Ancient Madagascar cattle, American bison, Tibetan yaks, Korean silkworms, European cattle genomic selection, Slovenian cattle footprint, Nigerian ponds, African swine fever in Asia
- Past rapid spread of introduced livestock coincided with vegetation clearance on Madagascar. Ancient sheep, goat and cattle bones show livestock racing across the island about 1,200 years ago, in step with forest clearance and the loss of elephant birds and pygmy hippos. People had arrived long before, so hunting alone is an insufficient culprit. Also I can’t imagine pygmy hippos being all that nice to eat.
- Paleogenomic insight into the collapse, recovery, and management of American bison. 115 ancient and 45 modern genomes show that past bison populations were widely connected, which means that today’s herds, while more fragmented, retain more diversity than was feared. Also, many modern bison lack the cattle ancestry long assumed to be ubiquitous, but wood bison do carry plains bison ancestry from 1920s translocations. So, swings and roundabouts.
- Whole-genome resequencing reveals genetic diversity, population structure, and selection signatures in tibetan yak. Three recently recognised Xizang populations (Chawula, Jila and Niangya) prove genetically richer than many others and cluster with Yushu and wild yak. Selection signals turn up at coat colour genes such as MC1R and at candidates for meat production. Has anyone done selection signals in bison?
- Selection of a phenotypic and functional core set for South Korean silkworm genetic resources, Bombyx mori (Lepidoptera: Bombycidae). A core set is distilled from a larger collection on multiple morphological, physiological and quality criteria, a manageable shortlist so the genebank’s holdings can be more easily used rather than merely admired. What would a core collection for the bison look like, I wonder?
- Impact of genomic selection on genetic diversity in 5 local European cattle breeds. Genomic selection uses DNA information from across an animal’s genome to predict its breeding value, allowing breeders to select animals likely to pass desirable traits to their offspring earlier and more accurately than relying on observed characteristics or pedigree alone. But can it be bad for genetic diversity if applied to a small local breed? Well, it shortened sire generation intervals and evened out top-sire contributions, but inbreeding rose in two breeds and fell in three. Genetic management mattered more than genomic selection, so the lesson is to monitor, and adjust as needed. Possibly relevant to the bison?
- Adoption of support tools for biodiversity conservation: a mixed-methods analysis of ecosystem services awareness among Slovenian cattle farmers. Livestock farmers who are younger and with more positive attitudes to biodiversity and the European Green Deal are more likely to adopt biodiversity-supporting practices. Knowing this could have saved many pigmy hippos 1,200 years ago in Madagascar.
- A national fish pond dataset for Nigeria generated using automated detection and segmentation. A segmentation model run over imagery, with a Random Forest classifier filtering the candidates, yields an openly released map of aquaculture production that was previously hard to see, let alone manage.
- Pathways to recover Asian wild pigs from African swine fever. Since 2018 the virus has caused huge mortality in naive wild pig populations, and the authors set out eight priority actions, with early-warning surveillance, captive breeding and emergency financing the ones that can’t wait. Free-ranging domestic pigs and thin biosecurity at the wildlife-livestock interface keep kind of bring us back to where we began on Madagascar.
Source: https://agro.biodiver.se/2026/10/brainfood-ancient-madagascar-cattle-american-bison-tibetan-yaks-korean-silkworms-european-cattle-genomic-selection-slovenian-cattle-footprint-nigerian-ponds-african-swine-fever-in-asia/
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