Factors Affecting Lactation Milk Yield in Gir Cattle

Biological Rhythm Research, 2019

A data set of 261 lactations from 130 purebred Jersey cows was fitted using six nonlinear lactation curve models viz. Sikka (SIK), Morant and Gnanasakthy (MG), Wilmink (WK), Wood (WD), Guo and Swalve (GS), and Brody (BRD) models. The average weekly test day milk yields (WTDMY) were predicted with high values of adjusted coefficients of determination (R 2 adj) by all fitted models. The MG model yielded the highest degree of accuracy (R 2 adj = 94.3%) with the lowest values of root mean square error (0.383), Akaike information criterion (−78.788), corrected Akaike information criterion (−77.735), and Schwartz Bayesian information criterion (−71.743) for the overall study. Among the four parities, the MG model was best fitted for the first three parities; however, for parities greater than or equal to four, the BRD model provided the best fit. All models fitted for overall milk production over four parities showed degrees of accuracy greater than 80. All the estimated peak yields estimated by different models ranged from 86.03 kg to 93.38 kg and the peak period ranged from 5 to 9 weeks. Lactation persistency was measured by the ratio, Weller, and Mahadevan methods. Cows with flatter lactation curves generally exhibited higher lactation persistency.

Indian Journal of Animal Research, 2016

The present study was undertaken on data of 113 Gir cows maintained at Kasturba Gram Dairy Farm, Indore, Madhya Pradesh, India over a period of 18 years from 1995 to 2012, based on age at first calving. The overall means for weight at first calving (WFC), age at first calving (AFC), and first lactation milk yield (FLMY) were 402.22± 1.28 kg, 1709.04± 51.92 days and 1664.95± 280.72 litres respectively. The heritability estimates for WFC, AFC and FLMY were 0.248± 0.234, 0.307± 0.206 and 0.112± 0.252 respectively. The genetic correlation between WFC and AFC was positive and significant, while it was negative in between WFC and FLMY. The genetic correlation between AFC and FLMY was low and negative. The phenotypic correlations between all traits were positive.

Indian Journal of Animal Research, 2016

A study was conducted to analyse the effect of various factors on cumulative monthly milk yields in Frieswal cows at Military Dairy Farm, Meerut, over a period of eight years (2006-2013). A total of 441 part lactation records of cows born to 30 Frieswal sires were analyzed using the SAS (2002) software. The least squares’ model developed for the cumulative 30, 60, 90, 120, 150, 180, 210, 240, 270 and 300 days yields accounted for 13.5, 13.5, 12.8, 12.0, 11.5, 11.6, 11.3, 10.3, 13.7 and 13.7 per cent of the total variation, respectively. The overall least squares’ averages for the cumulative 30, 60, 90, 120, 150, 180, 210, 240, 270 and 300 days of first lactation yields were estimated as 313.29, 660.83, 998.19, 1321.58, 1627.06, 1916.78, 2201.26, 2445.01, 2741.04 and 2972.64 kg, respectively. The effects of sire, season and period of calving were found to be statistically non-significant on any of the cumulative monthly part lactation yields while the regression of monthly part yields on AFC was found to be highly significant (P<0.01). Based on the results it was concluded that the AFC was the most significant factor which alters the cumulative part lactation yields in Frieswal cattle while the other factors like sire of cows, season and period of calving did not alter the part yields significantly. The cows calved during rainy season produce comparatively higher yield followed by summer and winter calvers. It may also be concluded that the genetic selection programme implemented in the Frieswal project resulted in increasing the milk production over the years of study. Key words: AFC, Cumulative monthly milk yields, First lactation, Frieswal cattle season

Indian Journal of Veterinary Science and Biotechnology, 2022

In the field condition, various milk recording options or test-day recording can be a useful tool to approximate/predict the production potential of field bovines. Therefore, a study was carried out to approximate/predict standard lactation milk yield in Gir (Bos indicus) cows from different milk recording options and test-day milk yield. A total of 2,24,748 daily morning and evening milk production performance records in 300 lactations of 50 Gir cows lactating at the Cattle Breeding Farm, JAU, Junagadh (Gujarat) over a period of 31 years (1986-2016) were used for the study. Test day records, 125, 155 , and 185 th at mid-and late lactations, i.e., 4, 5, and 6 th month, alone or combining consecutive two or three variables and even test day records 155 th to 275 th , i.e., from 5 th to 9 th month along with daily peak yield were found important in determining the SLMY. Sum-up of morning and evening milk yield at weekly intervals till the cow dries could be used to estimate lactation milk yield by the equation 0.59+6.97×Sum or sum-up of morning and evening milk yield records at the fortnightly interval by the equation 21.23+14.73×Sum, with a precision of 99%.

Indian Journal of Animal Research, 2016

The aim of the present study was to evaluate the effect of genetic and non genetic sources of variations on lactation yield in Sahiwal cows maintained at Uttar Pradesh Livestock- cum- Agriculture Farm, Chak Ganjaria, Lucknow, U.P. Data comprising a total of 2985 records on lactation yield spanning over a period of 62 years (1949 to 2011) were analysed by least squares analysis using suitable statistical model. The overall least squares mean for total lactation yield was found to be 2069.2280.69 kg.Lactation yield was significantly influenced by sire (P&lt;0.01), period of calving (P&lt;0.01), season of calving (P&lt;0.05) year and parity (P&lt;0.05). The heritability for total milk production was estimated to be 0.105±0.035 and breeding values of sires ranged from − 121.38 to 103.69. Genetic, phenotypic and environmental trends for lactation yield were −4.46, −116.26 and −111.80, respectively.

International Journal of Current Microbiology and Applied Sciences

Journal of Animal Health and Production

were used to study the effect of non-genetic factors on production and reproduction traits. Lactation records of Deoni cows were classified into five parity (1, 2, 3, 4 and ≥5), six period of two years interval (2002 to 2013) and three seasons i.e., winter (November-February), summer (March-June) and rainy (July-October). Statistical analysis was performed by using SPSS 16.0 software for Windows. On analysis, overall mean lactation milk yield, lactation length, service period and calving interval were estimated as 819.98 ± 16.5 kg, 195.23 ± 2.62, 158.78 ± 3.5 and 445.97 ± 3.67 days, respectively. Effect of parity and period on lactation milk yield and length was found to be highly significant (P<0.01). Significant influence (P<0.01) of period was observed on service period and calving interval of the cattle. Lactation milk yield of Deoni cattle was significantly influenced (P<0.05) by season of calving. Effect of season on lactation length, service period and calving interval was found to be non-significant, however on lactation milk yield it was found to be significant (P<0.05). Thus, present study concludes the significant influence of parity, period and season of calving on lactation milk yield that would be helpful for estimation of genetic parameters and further improvement of the breed.

Acta Scientiarum. Animal Sciences

This work was realized to evaluate lactation stage, physiological state, somatic cell count (SCC) and body condition score (BCS) on production and composition of cow's milk from Gir and Guzerat breeds were studied. Ninety-eight cows were analyzed and classified according to their physiological state, lactation stage, SCC and BCS. Milk production was weighed monthly to obtain production data. Composed samples were collected in vials containing preservatives and sent to the laboratory for analysis. Data were used for statistic descriptive analysis and analysis of variance. Higher milk production in the first 60 days of lactation was observed. Fat, protein and total solids concentration increased according to the increase of days in milk; while lactose concentration decreased. Higher levels of fat, protein and total solids in milk of non-pregnant cows were observed; while pregnant cows had higher daily production and higher lactose content in their milk. Higher lactose levels in milk were observed in animals with lower SCC. The BCS had no effect on milk composition or on somatic cell count. Zebu cow milk production and composition are influenced by lactation stage, physiological state and SCC.

The Pharma Innovation Journal, 2023

This study was planned to find out interrelationship among various milk production and milk composition traits in Gir and Mulki cattle of Narmadapuram division of Madhya Pradesh state. The data was collected from 75 healthy cows comprises of 40 Mulki and 35 Gir cattle in. Various milk production traits including daily milk yield (DMY), milk yield (MY) and lactation length (LL) were recorded. About 50 ml milk was collected from each cow to analyse various milk composition traits viz., Fat%, SNF%, Density, Lactose%, Protein%, water content, pH and Freezing point (FP) etc. The data generated was subjected to correlation coefficient analysis. The correlation between different milk yield and milk composition traits was ranged from-0.621 (LL and DMY) to +0.714 (DMY and MY) in Gir cattle and from-0.321 (FP and pH) to +0.940 (DMY and MY) in Mulki cattle. Milk yield showed positive correlation with DMY, LL and density, whereas it showed negative correlation with fat, protein and lactose percent in Gir cattle. In Mulki cattle, milk yield exhibited positive correlation with DMY, LL and protein (%), whereas it showed negative correlation with fat %, SNF %, lactose % and density. This study was the first attempt to study the correlation among various milk production and milk composition traits in Gir and Mulki cattle in Narmadapuram division of Madhya Pradesh state.

IOSR Journal of Agriculture and Veterinary Science, 2014

The experiment was carried out on lactating Holstein Friesian cows with the objectives of evaluating the effect of stage of age, pregnancy, lactation, parity and on yield, and components (fat, protein, solid not fat and lactose) and pH of milk. Milk samples were directly collected from the teat and immediately analysed using milk. The result showed that lactation stage and pregnancy significantly (P<0.05) affected the milk yield whereas milk yield did not show significant variation in different age and parity groups. The highest yield was recorded in mid stage and lowest in late stage of lactation. The yield was higher in non-pregnant than pregnant cows. The fat content of the milk was significantly higher (P<0.05) in early and late than mid stage of lactation. However, fat content was not significantly varying with age, pregnancy and parity. The solid not fat (SNF) and protein contents of the milk were significantly different in pregnancy and age but it was not significantly affected by stage of lactation and parity. The lactose content of the milk was affected significantly (P<0.05) by pregnancy only. But the pH of the milk was not affected significantly by stages of lactation, pregnancy, age and parity of the cows. This study indicated that different factors affect the milk yield and milk components.