Agri Kultuur November 2018 | Page 32

starting and peak milk yields and milk yield persistency for cows was similar, being 30 and 50 kg/day and milk yield decreasing at 5% per month, respectively. Following each lactation period, a dry period of 60 days was included for each cow. To utilize age effects, the starting milk yield at the second and third lactation period was 12 and 14%, respectively, higher than at first lactation. The production performance of cows was estimated up to the end of the third lactation using standard (300-day) lactation periods as a control. In the following figure the effect of calving interval on three lactation curves for Holstein cows is shown. Total days in milk were the same for the three cows. The average daily milk yield differed, being 43.2, 42.8 and 41.8 kg/day, for cows showing calving intervals of 365, 395 and 425 days, respectively. At a milk price of R5.00 per litre, milk yield losses amounted to R1940 and R6350 per lactation. Increasing starting and peak milk yields resulted in higher milk income losses. To compare three standard lactation periods to two extended lactation periods would entail a calving interval of 12 vs. 17 months. This decreases the milk income even more as more days in milk are at the end of the lactation period when milk yield is low. Other studies have shown similar results. A budgeting procedure using a spreadsheet programme to determine the effect of calving interval on income over feed and variable costs showed that in the USA recommendations for a 12- to 13- month calving interval appear to be justified. Calving interval explained Although seemingly difficult to achieve, a calving interval of 365 days is theoretically possible. The gestation period of cows is approximately AgriKultuur |AgriCulture 275-280 days. After calving and without any uterine or other infections, the uterus may be fully recovered within 20 to 40 days. This leaves about 45 to 65 days during which cows could be inseminated. As the average heat interval is 21 days, cows therefore have at least two to three opportunities to be serviced to become pregnant within 85 days after calving. Therefore, cows that show an early return to oestrus, conceive from a minimum number of services and which stay pregnant to the next calving, are regarded as highly fertile. For this reason, the intervals between the calving date and first service date and days open (calving date to conception date) as well as the number of services per conception are important traits indicating fertility in dairy cows. These interval traits can also be used as an indication of the standard of reproduction management within a dairy herd. Interval traits can be further used as binary traits (yes = 1 and no = 0) to determine the proportion of cows being serviced before 80 days after calving or the proportion of cows conceiving within 100 and 200 days after calving. In closing Increasing the voluntary waiting period increases the interval from calving to conception as well as the lactation period and calving interval. This also reduces the lifetime milk yield and milk income of cows. This is because the extension of the lactation period occurs during the late lactation stage when milk yield is lower. For a higher lifetime milk yield cows should be in milk more times during the early lactation stage when milk yield and feed efficiency is higher. Reproduction management affects the fertility of dairy cows. Ways to improve fertility in dairy herds depends on: (i) a short term management strategies such as providing a clean, dry and sunny calving down area, monitoring cows post calving for early detection of uterine infections, checking the heat cycling performance of cows within the first 80 days after calving; (ii) a medium term managerial strategy such as having an action plan for cows more than 150 days in milk not confirmed pregnant, putting a heat detection programme in place, ongoing checking of AI techniques (or performance) of inseminators, checking semen quality and (iii) a long term genetic strategy by using sires for AI with breeding information such as daughter pregnancy rates and productive life estimated breeding values. 32