scholarly journals Determining the Factors Affecting 305-Day Milk Yield of Dairy Cows with Regression Tree

2021 ◽  
Vol 9 (6) ◽  
pp. 1154-1158
Author(s):  
Serdar Genç ◽  
Mehmet Mendes
Keyword(s):  
Dairy Cows ◽  
Milk Yield ◽  
Regression Tree ◽  
Dry Period ◽  
Data Set ◽  
Tree Analysis ◽  
Factors Affecting ◽  
Lactation Length ◽  
Regression Tree Analysis ◽  
Service Period

The purpose of this study was to determine the factors affecting the 305-day milk yield of dairy cattle by using Regression Tree Analysis (RTA). The data set of this study consisted of 8 different cattle breeds grown in Turkey. Breed (B), Province (P), Lactation Length (LL), Service Period (SP), Dry Period (DP), Parity (PR), Calving Year (CY), Calving Age (CA) and Calving Month (CM) were used to predict the 305-day milk yield. Results of RTM showed that the usage of this method might be appropriate for determining the important factors that would be able to affect the 305-day milk yield (R2=71.3%). It was seen that the most important factors affecting the 305-day milk yield were the Breed, Lactation Length, Province, and Parity. Therefore, those selected factors were more efficient than the others in predicting the 305-day milk yield. RTA results also indicated that the lowest milk yield was estimated for Jersey, Jersey Crossbred, and Yerli Kara. Among the highest 305-day milk yield cows, the milk yield estimates of the cows in the second, third, fourth, fifth, and the sixth parities were found significantly higher than that of the cows in the first and seventh parities.

scholarly journals Linear modeling analysis using for determining the factors affecting 305-day milk yield

2021 ◽  
Vol 73 (4) ◽  
pp. 949-954
Author(s):  
S. Genç ◽  
M. Mendeş
Keyword(s):  
Dairy Cows ◽  
Milk Yield ◽  
Modeling Technique ◽  
Linear Modeling ◽  
Data Set ◽  
Factors Affecting ◽  
Lactation Length ◽  
Modeling Analysis

ABSTRACT The purpose of this study was to model the factors affecting the 305-day milk yield of dairy cows by using Automatic Linear Modeling Technique (ALM). The data set of this study consisted of eight different cow breeds grown in eight province of Turkey. Results of ALM showed that the accuracy of the model was 64.2 % means that 64.2% of the variation in the 305-day milk yield could be explained by the constructed model. Created model was consisted of four factors namely the Breed, Lactation Length, Parity, and Province. Therefore, those selected factors were more efficient than the others in predicting the 305-day milk yield

scholarly journals Genetics and Phenotypic Analysis of First Lactation Production, Reproduction and Part Lactation Traits in Frieswal Cattle

2021 ◽  
Author(s):  
Rajeev . ◽  
Ravinder Kumar
Keyword(s):  
Milk Yield ◽  
Cattle Breed ◽  
Phenotypic Correlation ◽  
Dry Period ◽  
Phenotypic Analysis ◽  
Climatic Regions ◽  
Lactation Length ◽  
Service Period ◽  
Total Milk ◽  
Reproduction Traits

Background: The Frieswal cattle a crossbred cattle breed having 62.50 per cent of exotic (inheritance) having total lactation milk yield of 4000 Kg with average lactation length 300 days (PDC Annual Report, 2015-16). Presently, the Frieswal Animal is mainly maintained at 36 Military Farms located in various agro-climatic regions in the country. Methods: The present study was undertaken on first Part lactation production, reproduction and part lactation records of 1470 Frieswal cows maintained over a period of 10 years (2003-2012) two military farms viz Meerut and Ambala at CIRC, Meerut. Result: The estimate the heritability of production and reproduction traits were 0.29 ±0 .098,0.142±.081, 0.130±0.079, 0.087 ±.074, 0.631 ± 0.255, 0.345 ± 0.247 and 0.100 ± 0.153 for standard 305 days milk yield, age of first calving (AFC), First lactation total milk yield (FLMY), First lactation 305-day or less milk yield (FL305DMY), First lactation length (FLL), Inter calving interval (ICI), First dry period (FDP), First Service Period (FSP), respectively. All the genetic and phenotypic correlation among different production and reproduction traits were high and positive. The estimates of heritability of first lactation individual part monthly yields in Frieswal cattle were found to be 0.100 ± 0.069, 0.105 ± .070, 0.100 ± 0.069, 0.112 ± 0.071, 0.204 ± 0.086, 0.160±0.079, 0.176 ± 0.081, 0.221 ± 0.088, 0.213 ± 0.087 and 0.192 ± 0.09, respectively. 

Genetic and non-genetic factors affecting productive and reproductive traits in Deoni cattle

2018 ◽  
Author(s):  
Sukanta Basak ◽  
D. N. Das ◽  
U. T. Mundhe
Keyword(s):  
Milk Yield ◽  
Genetic Factors ◽  
Cattle Breed ◽  
Reproductive Traits ◽  
Phenotypic Correlation ◽  
Dual Purpose ◽  
Factors Affecting ◽  
Lactation Length ◽  
Service Period ◽  
Dual Purpose Cattle

The present study was carried out in Deoni, the dual purpose cattle breed of Southern India, maintained at NDRI herd, SRS, Bengaluru. Mean phenotypic performances for the traits of age at first calving (AFC), first service period (FSP), first lactation milk yield (FLMY) and first lactation length (FLL) were estimated as 42.90 ± 0.49 months, 179.00 ± 6.3 days, 643.08 ± 25.16 kg and 178.24 ± 4.41 days respectively. Significant effect of parity was found on AFC and FSP. Effect of period of birth, period of calving and season of calving was found to be significant on FSP. Significant effect of period of birth, period of calving, classes of AFC and FLL were found on FLMY. The heritability of first lactation milk yield was estimated as 0.38 ± 0.29. Phenotypic correlation of FLMY with FLL (0.88 ± 0.02) was found to be highly significant (p Lass Than 0.01).

Study on ages at first mating and calving of Murrah buffaloes in hot and humid climate of Tamil Nadu, India

2015 ◽  
Author(s):  
A. K. Thiruvenkadan ◽  
S. Panneerselvam ◽  
N. Murali
Keyword(s):  
Milk Yield ◽  
Tamil Nadu ◽  
Coastal Region ◽  
Dry Period ◽  
Humid Climate ◽  
Age At First Calving ◽  
Murrah Buffaloes ◽  
Lactation Length ◽  
Service Period ◽  
Consequent Increase

Data on ages at first mating and first calving of Murrah buffaloes to identify the effect of various non-genetic factors on these traits. Period and season were the fixed environmental effects considered for both the traits studied. The overall least-squares means for ages at first mating and calving were 1222.3 ± 11.0 and 1578.7 ± 20.3 days respectively. Period had highly significant (Pe at first calving with peak yield, days to attain peak yield, 305-day milk yield, lactation length, lactation milk yield, milk yield per day of lactation, service period, calving interval, dry period and number of services per conception were -0.214 ± 0.32, 0.013 ± 0.31, 0.089 ± 0.33, 0.584 ± 0.47, 0.166 ± 0.35, -0.177 ± 0.30, 0.576 ± 0.53, 0.563 ± 0.55, 0.276 ± 0.49 and 0.944 ± 0.83 respectively. The study revealed that the ages at first mating and calving observed in Murrah buffaloes at coastal region of Tamil Nadu is comparable to those reported in its breeding tract and elsewhere in India. A negative genetic correlation between age at first calving and milk yield per day of lactation indicated that the selection based on milk yield per day of lactation would lead to reduction in age at first calving with consequent increase of milk yield per day of lactation in future generations.

scholarly journals Milk Production and Reproduction Performance of Non-descript Buffaloes in Konkan Region

2021 ◽  
Author(s):  
P.D. Chendge ◽  
S.U. Waghmare ◽  
S.P. Harane ◽  
S.L. Khatke ◽  
D.J. Bhagat ◽  
...  
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Buffalo Milk ◽  
Dry Period ◽  
Survey Period ◽  
Lactation Length ◽  
Service Period ◽  
Reproduction Performance ◽  
Daily Milk Yield ◽  
Daily Milk

Background: Buffaloes are economically important in particular region and also buffalo milk are nutritionally rich. In Konkan region, buffalo should be rarely used only to get female buffalo for milk production. To improve the non-descript buffalo population for milk production and reproduction performance. Methods: During survey period January, 2021 to February, 2021, record of 400 non-descript buffalo, 270 non-descript buffalo having more than 4 years age old to be selected. Result: The average daily milk yield, peak milk yield, total lactation milk yield, lactation length and dry period in non-descript buffaloes were 6.45±0.16 liters, 7.6±0.14 liters, 2007.66±45.83 liters, 302.86±0.34 days and 146.66±0.48 days, respectively. The average age at first calving, calving interval, service period, gestation period and number of calving were 45.96±0.18 months, 449.30±0.53 days, 128.86±0.31 days, 303.66±0.49 days, 2.72±0.12 numbers, respectively and autumn season of calving was more than another season.

scholarly journals Holsteins in Puerto Rico: I. Influence of Herd, Year, Age, and Season on Performance

1969 ◽  
Vol 60 (4) ◽  
pp. 526-539
Author(s):  
J. K. Camoens ◽  
R. E. McDowell ◽  
L. D. Van Vleck ◽  
J. D. Rivera Anaya
Keyword(s):  
Puerto Rico ◽  
Total Variation ◽  
Milk Yield ◽  
Seasonal Effects ◽  
Dry Period ◽  
Factors Affecting ◽  
Lactation Length ◽  
Days Open ◽  
Fat Yield ◽  
Selection For

The effects of herd, year, age, season, and their interactions on milk and fat yield, fat percent, days in milk, days dry, and days open for purebred and high grade Holsteins in a tropical environment were determined by analysis of variance using DHIA records from Puerto Rico. There were 33,950 records for calvings from 1967 to 1973 in 62 herds. Herd effects were significant (P < .05) for all traits, but seasonal effects were significant only for milk yield, fat yield, and days open. Variation among herds significantly influenced all traits except milk yield. Age of calving affected all traits except lactation length and days open. A number of the interactions were also significant. The statistical model explained 39, 40, 24, 17, 13 and 12% of the total variation in milk yield, fat yield, fat percent, lactation length, days dry, and days open, respectively. Total variances were 12,900,000 lb2 for milk yield and 15,000 lb2 for fat yield, which are comparable to those for temperate areas. It is concluded that the factors affecting the performance of Holsteins in Puerto Rico do not differ markedly from those in temperate countries. The total variation appears large enough to permit selection for higher milk and fat yields. As in temperate regions, length of lactation, length of dry period, and time of rebreeding (days open) are largely influenced by decisions made on the part of herd owners.

Effect of Service Period, Gestation Period and Dry Period on Milk Production Traits in Kankrej Cattle

2016 ◽  
Vol 12 (2) ◽  
Author(s):  
Nawal Kishor Pareek ◽  
K. J. Ankuya ◽  
M. P. Patel ◽  
B. S. Rathod ◽  
K. B. Prajapati
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Genetic Factors ◽  
Gestation Period ◽  
Research Station ◽  
Production Traits ◽  
Milk Production Traits ◽  
Dry Period ◽  
Lactation Length ◽  
Service Period

The present investigation was undertaken to study the effect of non-genetic factors, viz., service period (SP), dry period (DP) and gestation period (GP) on various milk production traits in Kankrej cattle. 1235 lactation records (2nd-7th) of 475 Kankrej cows, progeny of 75 bulls that were maintained at University Livestock Research Station, Sardarkrushinagar (Gujarat), calved during 1980-2014, were studied. The effects of service period (111.64 ± 52.55 days) and dry period (143.17±28.78 days) on total lactation milk yield (2089.45±582.38 kg),305 days milk yield (2045.66±531.92 kg) and lactation length (282.90±49.46 days) were highly significant (pis less than 0.01), while the effect of gestation period (288.86±7.14 days) was non-significant on all these production traits. Cows which took more time to conceive after parturition produced more milk with longer lactation length

scholarly journals Factors affecting first lactation performance of Sahiwal cattle in Pakistan

2008 ◽  
Vol 51 (4) ◽  
pp. 305-317 ◽  
Author(s):  
Z. U. Rehman ◽  
M. S. Sajjad Khan ◽  
S. A. Bhatti ◽  
J. Iqbal ◽  
A. Iqbal
Keyword(s):  
Milk Yield ◽  
Lactation Performance ◽  
Genetic Trend ◽  
Age At First Calving ◽  
Factors Affecting ◽  
Lactation Length ◽  
Service Period ◽  
Total Milk ◽  
Sahiwal Cattle ◽  
Performance Traits

Abstract. To study the environmental and genetic factors affecting productive and reproductive traits, data on 5,897 cows from five main recorded herds (for 1964–2004) of Sahiwal cattle in Pakistan were used. A general linear model was applied on the data. The 305-day milk yield, total milk yield, lactation length, age at first calving, dry period, calving interval and service period averaged 1,393 ± 12 kg, 1,429 ± 11 kg, 235 ± 2, 1,390 ± 4, 244 ± 3, 464 ± 3 and 1,78 ± 3 days, respectively. The age at first calving was effected by herd, year and season of birth. The 305-day and total milk yields were affected by herd, year, season of calving, age at first calving, service period and lactation length while all other first lactation traits were affected by herd, year, season of calving and 305-day milk yield. Animal model heritability estimates for these traits were 0.11 ± 0.029, 0.11 ± 0.028, 0.09 ± 0.027, 0.02 ± 0.019, 0.05 ± 0.019, 0.12 ± 0.027 and 0.04 ± 0.020, respectively. Rate of decline in first lactation milk yield was 7 l per year over the last 35 years with genetic trend close to zero. Lactation length and service period decreased and age at first calving increased by 2, 1 and 6 days per year, respectively. Herd differences for most of the traits were significant. Improved feeding and management may improve performance traits of Sahiwal cattle. Accurate recording of pedigrees and performance traits would help improve genetic param

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