The invention relates to the technical field of
animal husbandry low-carbon breeding and precise breeding, in particular to a
beef cattle carbon emission data intelligent analysis and breeding
decision making system based on
artificial intelligence, which comprises a
phenotype and carbon efficiency fusion unit, obtains dynamic
methane release waveform and rumination
rhythm data through an implantable
rumen capsule, calculates a carbon efficiency ratio correction value, and calculates a carbon efficiency ratio correction value; the
gene editing target prediction unit is used for analyzing waveform key
mutation characteristics by using a deep
convolution-attention
hybrid model, matching an epigenetic marker
database, and positioning and hierarchically regulating target genes of carbon effect; a guide ribonucleic acid sequence, a
homologous recombination repair template and a base editing scheme are respectively designed aiming at high, medium and low regulation
potency targets and are synchronized to a cattle
gene editing platform and a
phenotype feedback optimization unit,
methane release waveforms of
offspring are collected in real time, target
potency parameters are corrected, accurate positioning and differential editing of carbon effect related genes are realized, and a cattle
gene editing result is obtained. The
beef cattle low-carbon breeding efficiency is improved.