Acta Veterinaria et Zootechnica Sinica ›› 2026, Vol. 57 ›› Issue (1): 22-29.doi: 10.11843/j.issn.0366-6964.2026.01.003

• REVIEW • Previous Articles     Next Articles

Research Progress and Frontier Exploration of Quality Evaluation Indicators for Domestic Animal Blastocysts

WANG Yanbo1,3(), ZHANG Xiaomeng1, FENG Xiaoyi1, SONG Haoran1, DONG Jianhua1, PAN Hongmei2(), ZHAO Xueming1()   

  1. 1.Institute of Animal Science,Chinese Academy of Agricultural Sciences,Beijing 100193,China
    2.Chongqing Academy of Animal Science,Rongchang 402460,China
    3.College of Animal Science,Shanxi Agricultural University,Taigu 030801,China
  • Received:2025-05-30 Online:2026-01-23 Published:2026-01-26
  • Contact: PAN Hongmei, ZHAO Xueming E-mail:wyb19834362834@163.com;panhm_2118@163.com;zhaoxueming@caas.cn

Abstract:

The evaluation of blastocyst quality is of great significance for assisted reproductive technology (ART). Through quality assessment, blastocysts with the highest implantation potential can be selected, reducing the number of embryo transfers and improving the clinical pregnancy rate. However, there are many methods for blastocyst quality evaluation, but there is a lack of horizontal and systematic comparison. At present, the existing blastocyst quality evaluation methods mainly include morphological evaluation, metabolomics, time-lapse monitoring technology, genetic screening technology, artificial intelligence technology, etc. This paper systematically describes and compares the most effective and widely used methods for evaluating the quality of blastocysts at the blastocyst stage by summarizing the existing research systems and comprehensively discussing the advantages and limitations of various blastocyst quality evaluation technologies. Meanwhile, optimization schemes are proposed according to the limitations of various methods. It provides a theoretical basis and technical support for further optimizing the blastocyst quality evaluation technology, improving the clinical pregnancy rate and enhancing the efficiency of embryo selection.

Key words: blastocyst stage embryo, quality evaluation, frontier exploration, research progress

CLC Number: