Prediction of first lactation 305 day milk yield from monthly test day milk yield using multiple linear regression model in Jaffarabadi buffaloes

Sharma, Hardik; Gajbhiye, P. U.; Ahlawat, A. R.; Dongre, V.B.

doi:10.56825/bufbu.2022.4123496

Cited by 2 publications

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“…was used to isolate RNA from milk fat samples in the following steps [ 59 ]. 1.5 ml of genezol reagent /0.5 g of milk fat [ 60 ] was added, followed by vortexing for homogenization. The homogenate was kept at RT/5 min, then centrifuged at 12000xg for 10 min at 4 oC.…”

Section: Methodsmentioning

confidence: 99%

Mammary fat globules as a source of mRNA to model alterations in the expression of some milk component genes during lactation in bovines

Shaban,

Hassan,

Hassanin

et al. 2024

BMC Vet Res

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Background The milk's nutritional value is determined by its constituents, including fat, protein, carbohydrates, and minerals. The mammary gland's ability to produce milk is controlled by a complex network of genes. Thereby, the fat, protein, and lactose synthesis must be boost in milk to increase milk production efficiency. This can be accomplished by fusing genetic advancements with proper management practices. Therefore, this study aimed to investigate the association between the Lipoprotein lipase (LPL), kappa casein CSN3, and Glucose transporter 1 (GLUT1) genes expression levels and such milk components as fat, protein, and lactose in different dairy breeds during different stages of lactation. Methods To achieve such a purpose, 94 milk samples were collected (72 samples from 36 multiparous black-white and red-white Holstein–Friesian (HF) cows and 22 milk samples from 11 Egyptian buffaloes) during the early and peak lactation stages. The milk samples were utilized for milk analysis and genes expressions analyses using non- invasive approach in obtaining milk fat globules (MFGs) as a source of Ribonucleic acid (RNA). Results LPL and CSN3 genes expressions levels were found to be significantly higher in Egyptian buffalo than Holstein–Friesian (HF) cows as well as fat and protein percentages. On the other hand, GLUT1 gene expression level was shown to be significantly higher during peak lactation than early lactation. Moreover, lactose % showed a significant difference in peak lactation phase compared to early lactation phase. Also, fat and protein percentages were significantly higher in early lactation period than peak lactation period but lactose% showed the opposite pattern of Egyptian buffalo. Conclusion Total RNA can be successfully obtained from MFGs. The results suggest that these genes play a role in glucose absorption and lactose synthesis in bovine mammary epithelial cells during lactation. Also, these results provide light on the differential expression of these genes among distinct Holstein–Friesian cow breeds and Egyptian buffalo subspecies throughout various lactation phases.

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Section: Methodsmentioning

confidence: 99%

Mammary fat globules as a source of mRNA to model alterations in the expression of some milk component genes during lactation in bovines

Shaban,

Hassan,

Hassanin

et al. 2024

BMC Vet Res

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“…In another study, Jafarabadi breeds were used to predict the first lactation at 305 days. A linear regression model was fitted by incorporating all 11 monthly test day milk yield records as a partial lactation yield with different combinations to predict the standard lactation yield as early as possible Analysis carried out revealed that when all the monthly test day records (1 to 11) were incorporated in an equation to predict first lactation 305 day or less milk yield, the accuracy (R 2 value) was maximum with 97.06% (Sharma et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Relationships Between Partial Milk Yield and Actual Milk Yield According to Parity in Buffaloes

Soysal,

Gürcan,

Ünal

2024

Yüzüncü Yıl Üniversitesi Tarım Bilimleri Dergisi

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In this study, the relationships between 100-day of partial milk yield and 270-day of additive and total milk yield of buffaloes according to different parity were investigated. A total of 697 lactation records belonging to 135 heads of buffalo and seven lactations were used in the material. The relationships between the animals' 100-day partial milk yield for 270-day and total milk yield were analyzed for seven lactations. In the study, 100-day milk yield was taken as an independent variable, 270-day and total milk yields as dependent variables, and possible relationships were determined according to simple and multiple linear regression analysis methods. The average lactation period was 256.74 ± 2.61 days, the average 270-day additive milk yield was 2078 ± 65.26 litres and the average total milk yield was 1831 ± 89.57 litres. The daily average milk yields were 7.69 ± 0.11 and 7.08 ± 0.07 liters for 270-day and 100-day respectively. The correlation coefficients were calculated for each parity and calculated as 0.901 (p < 0.01) between the 100-day and 270-day additive yield for the general group. The simple and multiple linear regression equations were shown as [V270 = 470.72 + 1.737 V100 (R2 = 80.2%)], [V270 = 966.23 + 0.645 V100 + 0.001V1002 (R2 = 82.4%)] for the groups. As the parity of lactation increased, it was seen that the determination coefficients were increased. Finally, predicting the total lactation yield by using 100-day of partial milk yield has the highest accuracy.

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Prediction of first lactation 305 day milk yield from monthly test day milk yield using multiple linear regression model in Jaffarabadi buffaloes

Cited by 2 publications

References 0 publications

Mammary fat globules as a source of mRNA to model alterations in the expression of some milk component genes during lactation in bovines

Mammary fat globules as a source of mRNA to model alterations in the expression of some milk component genes during lactation in bovines

Relationships Between Partial Milk Yield and Actual Milk Yield According to Parity in Buffaloes

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