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Digital Object Identifier (DOI) : 10.14569/IJACSA.2017.080927
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 9, 2017.
Abstract: Estrus cycle estimation method through correlation analysis among influencing factors based on regressive analysis is carried out for Japanese Dairy Cattle Productivity Analysis. Through the experiments with 280 Japanese anestrus Holstein dairy cows, it is found that estrus cycle can be estimated with the measured with visual index of Body Condition Score (BCS), hormone treatments, and parity number, based on regressive equation. Also, it is found that the time from the delivery to the next estrus can be expressed with BCS, hormonal treatments, parity. Thus it is found that productivity of cattle can be identified.
Kohei Arai, Narumi Suzaki, Iqbal Ahmed, Osamu Fukuda, Hiroshi Okumura, Kenji Endo and Kenichi Yamashita, “Method for Productive Cattle Finding with Estrus Cycle Estimated with BCS and Parity Number and Hormone Treatments based on a Regressive Analysis” International Journal of Advanced Computer Science and Applications(IJACSA), 8(9), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080927