The mean length, height, heart girth, abdominal girth, tail length, tail switch length, face length, face width, cephalic index, dewlap length, naval flap length, ear length, neck length, udder length, udder width, udder area, teat length, teat diameter and skin fold thickness of Ongole cows are presented in Table 1. The length, height, heart girth, abdominal girth, neck length and udder length were significantly (P<0.01) higher in Ongole cattle maintained at individual farmers compared to herds maintained at Livestock Research Stations. This might be due to phenotypic selection of cows by the farmers for size since several decades due to increased demand for large sized males for use in “stone pulling sport” which is very popular in Andhra Pradesh state. Due to this, the individual care and management of the cows by the farmers may be good compared to the cows maintained at Livestock Research Stations.Themorphometric values reported in the present study were comparable with studies of
Murari (1956) and
Ngadiyono et al., (2017) in Ongole cattle.
The mean lactation milk yield (kg), milk yield per day of lactation (kg), milk yield per day of calving interval (kg),peak yield (kg) and lactation length (days) was 918.76±45.57, 2.98±0.02, 1.55±0.04, 4.25 ± 0.15, 65.68 ± 0.89 and 241.34 ± 2.01, respectively. The data pertaining to milk production performance reported in the present study was mostly collected from Livestock Research Stations since the availability of the data at the farmers level was scarce. The production performance of Ongole cows recorded in the present study was in accordance with the findings of
Vinoo et al., (2005) and
Sai Reddy (2010).
The analysis of the morphometric and milk production data revealed that lactation milk yield and lactation length were positively and significantly (P<0.01) correlated with udder area, udder length, face length and cephalic index in Ongole cattle (Table 2).
Bhuiyan et al., (2004) and
Rana et al., (2010) found that the udder measurements had significant positive correlation with milk yield in cows of Bangladeshi and Vrindavani cattle, respectively.
Patel et al., (2016) also confirmed it in crossbred cows and
Modh et al., (2017) in Gir cows.
However, lactation milk yield and lactation length were negatively correlated with skin fold thickness and tail length.
Prabhakar et al., (2018) in Tharparker cattle and
Dhillod et al., (2017) in Murrah buffaloes reported similar negative correlations between lactation milk yield and skin thickness.
The present study observed positive (P<0.05) correlations between peak yield and dewlap length and negative (P<0.05) correlation between peak yield and skin fold thickness (-0.156). Positive (P<0.05) correlations were also observed between days to reach peak yield with heart girth (0.182) and abdominal girth (0.145) and non-significant correlations were found between days to reach peak yield and other morphometric characters.
The regression coefficients of udder area, skin fold thickness, face length and tail length for lactation milk yield and lactation length were 0.296, -0.195, 0.267 and -0.186 and 0.144, -0.145, 0.271 and -0.163, respectively and these coefficients were found to be significant (P<0.01).
The significant association of the morphometric characters with the total lactation milk yield and lactation length from the regression analysis were considered for construction and fit into multiple linear prediction equations based on the intercept, regression coefficients and coefficients of determinations (R
2 values) obtained in this study.
The regression coefficients and R
2 values of the different equations and ranking of different prediction equations based on R
2values are presented in Table 3 and 4 and the scattered plots are presented in Fig 1 and 2. On regression analysis, the morphometric characters such as udder area, skin fold thickness, face length and tail length found to be significantly (P<0.01) associated with the total lactation milk yield and lactation length. Hence, these four morphometric characters were fit into a multiple linear equation and was computed based on the intercept, regression coefficients to predict the total lactation milk yield and lactation length. The results revealed that the udder area, skin fold thickness, face length and tail length may be given more weightage in selecting dairy type Ongoles.