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CN-122016703-A - Method for establishing mid-infrared spectrum prediction model based on concentration of bovine serum anti-Mu Leshi hormone (AMH)

CN122016703ACN 122016703 ACN122016703 ACN 122016703ACN-122016703-A

Abstract

The invention provides a method for establishing a mid-infrared spectrum prediction model based on the concentration of a cow serum anti-Mu Leshi hormone (AMH), which is characterized in that a cow group is correspondingly divided into three groups with low, medium and high concentrations according to the AMH concentration in cow serum, the three groups are used as the expression of low, medium and high reproductive potential of the cow, the full-band infrared spectrum of milk corresponding to the cow is measured, characteristic wavelengths are selected, a random forest model is constructed based on the three concentration ranges with the low, medium and high concentrations of the AMH and the corresponding infrared spectrums, and an RF model constructed by measuring the infrared spectrum introduction of the milk can be obtained, so that the production life of the cow can be judged. The method has the advantages that after the model can accurately divide the reproduction potential of the dairy cow group by utilizing the serum AMH concentration, the AMH concentration of the dairy cows is predicted according to the difference of different AMH concentrations in the 1500-2000cm ‑1 section of the infrared spectrum in the milk, so that the reproduction potential of the dairy cows, namely the production life, is predicted.

Inventors

  • HUA GUOHUA
  • ZHOU XINRUI
  • WU ZIHUI
  • YANG LIGUO
  • JIANG MENGLEI
  • CHENG JIARUI
  • SUN WEI
  • LI XIHE
  • Bao Xiangnan
  • ZHANG SHUJUN
  • SONG ZHUOYUAN
  • TANG JIABIN

Assignees

  • 华中农业大学
  • 内蒙古赛科星家畜种业与繁育生物技术研究院有限公司
  • 内蒙古国家乳业技术创新中心有限责任公司

Dates

Publication Date
20260512
Application Date
20260109

Claims (8)

  1. 1. A method for predicting the production life of a dairy cow by utilizing mid-infrared spectroscopy of milk based on the concentration of a milk serum Mu Leshi pipe hormone, which is characterized by comprising the following steps: The method comprises the steps of detecting AMH concentration in cow serum by adopting an AMH quantitative detection kit, determining cow groups with AMH concentration lower than 458.3 pg/mL as low reproduction potential and cow groups with AMH concentration higher than 814.5 pg/mL as high reproduction potential, correspondingly dividing the cow groups into three groups with low, medium and high concentrations as the performances of the low, medium and high reproduction potential of the cows, selecting characteristic wavelengths according to the full-band infrared spectrums of the milk of the cows, constructing a random forest model based on the three concentration ranges of the AMH low, medium and high concentrations and the infrared spectrum data of the characteristic wavelengths corresponding to the three concentration ranges, obtaining an RF model for predicting the production life of the cows by measuring the infrared spectrum data of the characteristic wavelengths of the milk, and guiding the infrared spectrum data of the characteristic wavelengths measured by the milk of the cows to be measured into the constructed RF model, so as to predict the production life of the cows.
  2. 2. The method of claim 1, wherein the dividing into three populations of low, medium and high concentration is based on AMH concentration less than or equal to 458.3 pg/mL,458.3 pg/mL < AMH concentration < 814.5 pg/mL, AMH concentration greater than or equal to 814.5 pg/mL.
  3. 3. The method of claim 1, wherein the milk infrared spectrum has a characteristic wavelength range of 926-5012 cm −1 , including SWIR：5010~3673 cm-¹,SWIR-MWIR：3669~3052 cm-¹,MWIR-1：3048~1701 cm-¹,MWIR-2：1698~1585 cm-¹,MWIR-LWIR：1582~925cm-¹ five characteristic intervals.
  4. 4. The method according to claim 1, wherein the characteristic wavelength of the milk infrared spectrum is MWIR-2:1698-1585 cm-1, MWIR-LWIR 1582-925 cm-1.
  5. 5. The method of claim 1, wherein the characteristic wavelength infrared spectral data is absorbance values for a characteristic wavelength range.
  6. 6. The method of claim 1, wherein when the predicted AMH concentration is less than or equal to 458.3 pg/mL, the predicted parity is less than or equal to 2, and the low parity is a low parity culled cow, indicating poor reproductive performance; When the predicted AMH concentration is more than or equal to 814.5 pg/mL, the predicted embryo frequency is more than or equal to 3, and the high embryo is the cow breeding, which shows that the reproductive performance is good.
  7. 7. The milk infrared spectrum for predicting the reproductive performance of the dairy cows is applied to predicting the reproductive performance of the dairy cows, and is characterized in that the characteristic wavelength of the infrared spectrum is in the section of 1500-2000 cm −1 .
  8. 8. The use according to claim 7, wherein the infrared spectrum is an absorbance value at characteristic wavelengths 1698-1585 cm "1, 1582-925 cm" 1.

Description

Method for establishing mid-infrared spectrum prediction model based on concentration of bovine serum anti-Mu Leshi hormone (AMH) Technical Field The invention belongs to the technical field of biology, and particularly relates to a method for establishing a mid-infrared spectrum prediction model based on the concentration of a cow serum Mu Leshi pipe hormone (AMH). Background Reproductive traits are key factors affecting longevity and utilization years of cows, about one third of cows are eliminated in advance due to the problems of reduced fertility or reproductive dysfunction, and in countries with high milk yield, the average production life of cows is only 3-4 years. At present, many developed countries have been based on the importance of milk industry production, incorporate longevity into breeding programs and develop related breeding works (Miglior F et al., 2005;De Vries A et al, 2020), and the prolongation of the utilization years of cows has become an urgent need for industry development. However, due to the complexity of this trait, longevity breeding has not been incorporated into the national selection index in most developing countries. Taking our country as an example, the latest revised chinese Cow Performance Index (CPI) in 2020 contains milk protein amount, milk fat amount, somatic score, body shape, lactation system and limb hooves, but does not cover longevity (Hu H et al, 2021). Under the background, it is important to mine biomarkers capable of effectively predicting longevity of cows. Members of the transforming growth factor- β (TGF- β) superfamily have long been considered as key participants in the recruitment, selection and development of primordial follicles and the formation of primary follicular development by ovulation and luteinisation (KNIGHT PG ET al., 2006;Trombly DJ et al, 2009;Myers M et al, 2010). The family members Anti-mullerian hormone (Anti-Mullerian Hormone, AMH) have been shown to have important regulatory effects on the growth and development of follicles, and their concentrations can indirectly reflect the total number of healthy follicles in the ovaries, and thus the ovarian reserves. In animals, AMH has been relatively rarely studied, and it is known that AMH concentration varies little during the oestrus cycle of cattle and is closely related to bovine oocyte development or follicular development. In addition, other family members such as BMP-15 and GDF-9 are able to synergistically promote the transformation of primordial follicles to primary follicles, activate granulosa cell proliferation and inhibit apoptosis (as in the case of the anti-apoptotic protein Bcl-2), and also regulate oocyte developmental capacity (Yan C et al, 2001;Peng J et al, 2013), both of which are genetically mutated to lead to premature ovarian failure (POI), ovulation failure and reduced fertility (Di Pasquale E et al, 2004). Milk components are indicators of the health condition and physical condition of cows, and as the health condition of cows changes, the milk components change (DU C et al 2020), so it is important to explore the changes in the various components of cows (such as milk proteins, milk fat and lactose). The fourier transform infrared spectrum is a technology widely applied to characterization of dairy cows, and the spectrum thereof consists of absorbance of 1060 wave numbers ranging from 5010.15 to 925.66 cm -1, corresponding to Short Wave Infrared (SWIR), mid Wave Infrared (MWIR) and Long Wave Infrared (LWIR). The absorbance at each wavenumber resulting from the interaction between infrared light and molecules helps to characterize the chemical components in milk (NAN L et al 2023) and thus serves to predict the main components of milk (such as milk fat, milk proteins, lactose, urea nitrogen and total solids), fine components (fatty acids, amino acids etc.), and physiological status of cows (reproductive, metabolic and health) (DE MARCHI M ET al, 2014), etc. At present, a detection technology and a prediction model of cow oestrus, pregnancy and the like are established by utilizing a mid-infrared spectrum technology, and the milk spectrum characteristics of the cow in the pre-oestrus period and the oestrus period are found to be significantly different (DUC et al, 2021). The importance of the reproduction life of cows is consensus, and the prediction by utilizing various factor indexes and mid-infrared technology also has great potential. However, there is a clear study blank in the field of propagation life prediction at present, and a stable prediction system is not established yet. Therefore, the invention will fully discuss the association of AMH and other cytokines level or mid-infrared spectrum and reproductive life, screen reliable index for predicting high reproductive performance and long production life of cows, and fill the research blank in the field. Over the last 100 years, the dairy improvement program has made significant progress in the phenotypic