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The purpose of this research is to study any effects of managerial strategies on prevention of ketosis metabolic disorder in transition period in Shahroud commercial dairy farms. For this purpose, a questionnaire was prepared in order to obtain required information about the performance of these managerial strategies, performance costs, involvement situation with disorders relying upon clinical signs and treatment and health records, producing and economic situation, and fertility rate and its costs. The considered managerial guidelines include body condition score management or type evaluation in transition period, increase in dry matter intake close to parturition, using propylene glycol, using niacin, and high-quality feeding (the importance of feed quality) in transition period. Finally and upon arrangement of data, it was possible to study any effects of mentioned managerial strategies on related variants through multiple linear regressions. Furthermore, in order to study any relation among variables, we considered Pearson correlation coefficients as well. Finally, it was revealed that any application of managerial strategies for prevention from Ketosis in transition period has a significant effect in betterment of managerial and economic parameters.

One of the effective and important factors in suitable using from inputs in firms is production scale of firm. According to effective role of milk production scale in dairy farm cost, determination of scale with minimum cost is necessary. In this study, optimal farm scale and milk production in dairy farm is investigated in Mazandaran province. Therefore, information of 50 industrial dairy farms in Sari, Babol and Ghaemshahr County is gathered. In this study for estimating optimal scale of herd, Dawson and Hubbard model was used. The results show that optimal scale of milk production in Sari, Babol and Ghaemshahr is 304059.6, 315532.4 and 281210.6 Kg respectively, that according to average annual yield for each dairy cow, optimal scale of herd in these counties is 72, 72 and 68 respectively. According to the results, improvement in production scale for achieving optimal production scale is suggested.

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