2018
DOI: 10.1111/asj.13158
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Estimation of the economic value of herd‐life length based on simulated changes in survival rate

Abstract: Functional traits are an important aspect of long‐term breeding strategies for dairy cattle. In this regard, it is necessary to develop simple methods for estimating the economic value of herd life. In this study, the economic daily value of herd life was estimated when survival rate varied between −0.05 and 0.05 from the basal survival rate. The extension days per survival rate were 26.5 days in Hokkaido and 20.3 days in other regions. The increases in values of annual income per day of herd life were 95.18 y… Show more

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Cited by 7 publications
(8 citation statements)
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“…When young sires were selected according to their genetic ability for DO, the estimated annual economic merit was 1,061.4 yen and 493.9 yen in Hokkaido and in the other regions, respectively. Under the same economic and genetic conditions of the present study, Sasaki, Takeda, and Nishiura (2019) reported that the estimated economic value based on selection for the genetic ability for 305-day milk yield were 1,268 yen in Hokkaido and 2,097 yen in the other regions. Furthermore, the estimated economic value based on selection for the genetic ability for herd life was 1,268 yen in Hokkaido and 2,097 yen in the other regions.…”
Section: Economic Response Of Genetic Selection By Days Opensupporting
confidence: 69%
“…When young sires were selected according to their genetic ability for DO, the estimated annual economic merit was 1,061.4 yen and 493.9 yen in Hokkaido and in the other regions, respectively. Under the same economic and genetic conditions of the present study, Sasaki, Takeda, and Nishiura (2019) reported that the estimated economic value based on selection for the genetic ability for 305-day milk yield were 1,268 yen in Hokkaido and 2,097 yen in the other regions. Furthermore, the estimated economic value based on selection for the genetic ability for herd life was 1,268 yen in Hokkaido and 2,097 yen in the other regions.…”
Section: Economic Response Of Genetic Selection By Days Opensupporting
confidence: 69%
“…The contribution of livestock to the country's economy is too low when compared with the population size. This might be due to weak estimation methodology or weak analysis of economic values of livestock products and poor plane of nutrition, prevalence of disease and lack of appropriate breeding strategies (Mezgebe et al, 2018;Sasaki et al, 2019). To divert this challenges; identification and phenotypic characterization of cattle genetic resources are necessary in order to develop breed improvement programs (FAO, 2007).…”
Section: Introductionmentioning
confidence: 99%
“…The conception rate after AI critically influences dairy profitability because an increase in conception rate leads to an increase in the annual income per cow (González-Recio et al, 2004;Sasaki et al, 2019). Because the energy requirement for milk production in dairy cows dramatically changes before and after the first calving, the feeding system and reproduction management must also be appropriately changed during this transition to achieve income maximization (Ettema et al, 2017;Bittante et al, 2020;Reese et al, 2021).…”
Section: Introductionmentioning
confidence: 99%