Chemometric approaches to analyze the colostrum physicochemical and immunological (IgG) properties in the recently registered Himachali Pahari cow breed in India. (June 2021)

• Record Type: Journal Article
• Authors: Mehra, Rahul; Kumar, Shiv; Verma, Nishant; Kumar, Naveen; Singh, Rajat; Bhardwaj, Anuradha; Nayan, Varij; Kumar, Harish
• Is Part Of: Lebensmittel-Wissenschaft + Technologie =. Volume 145(2021)
• Publication Date: 2021-06
• Subjects: Colostrum -- Himachali Pahari -- Immunoglobulin (IgG) -- Principal component analysis (PCA) -- Analysis of variance (ANOVA); Food industry and trade -- Periodicals; Food -- Composition -- Periodicals; Microbiology -- Periodicals; Nutrition -- Periodicals; 664.005
• DOI: 10.1016/j.lwt.2021.111256
• Languages: English
• ISSNs: 0023-6438

Abstract

Abstract: A chemometric study was conducted to know the geographical region-wise changes in the colostrum physicochemical and immunological properties of recently registered "Himachali Pahari" cow breed in India. The colostrum samples were collected within 72 h of parturition from two zones (high and low altitudes) comprising of four districts each and having different climatic conditions. Colostrum samples were assessed for physicochemical and immunological (IgG) components along with inter- (high and low altitudes) and intra-zonal (within districts) variations. Obtained results were evaluated using analysis of variance (ANOVA). In the inter-zone, significant variation (p ≤ 0.05) was observed in the total solids, protein, fat, ash, lactose, percentage scavenging activity, IgG, and minerals (Mg, K, Fe, P, Cu) contents. On the other hand, total solids, fat, ash, titratable acidity, scavenging activity, IgG, and minerals (Ca, Mg, K, Fe, Cu) contents were found significant in the intra-zone. Principal component analysis (PCA) allowed the diminution of 16 variables into 3 principal components (PC1, PC2, and PC3) having 62.62%, 14.57%, and 8.27% of the variance, respectively. Highlights: First region-wise Himachali Pahari cows' colostrum composition was studied. Colostrum composition of these cows differed significantly in high and low hills. Multivariate techniques effectively differentiated the colostrum samples.