Weak information flow challenging reproductive management decision-making along the swine reproductive value chain: three manuscripts

system dynamics;swine;value chain;information markets

Belanger Bishinga, Clement ; Goldsmith ; Peter D.

关键词: system dynamics;    swine;    value chain;    information markets;   

Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/42350/Clement_Belanger%20Bishinga.pdf?sequence=1&isAllowed=y

美国|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

Over the last two decades, the hog industry has undergone significant structural changesin terms of specialization, increasing scale, linkages across the value chain with retailers andprocessors, environmental obligations and new technologies. As a result, industry structure,markets for information and transaction governance have emphasized contracts, verticalcoordination, improved sharing of information and strategic partnerships. Some animal scientistsargue that breeding management, use of superior genetic breeds and lines and crossbreeding toutilize heterosis are important factors for this improvement, especially in reproductive traits.Others suggest that genetic management lags other areas of management in terms of efficiencygains because results in the nucleus herds’ environment are difficult to replicate in a commercialherd environment. Part of this difference of opinion corresponds to where a firm is located alongthe value chain.The contribution is a unique value chain model that allows for the analysis of geneticimprovement information as it relates to the industry structure and reproductive decision-makingat the nucleus, multiplier, and commercial tiers. The system's model of the swine reproductivevalue chain employs stochastic, dynamic, and feedback techniques to examine genetic stock'sflows and phenotype information creation and availability both across time and along the swinereproductive value chain.It is now possible to support in unique ways researchers and practitioners as they tackledifficult system-related questions facing reproductive management information and strategy. Ofparticular interest is the model’s production of managerially relevant key performance indicatorsover time and across the value chain. There are many applications of the model.This thesis is developed in three individual manuscripts. The first paper presents andvalidates the model. The second paper explores alternatives to reduce genotype x environmentinteraction across the swine reproductive value chain. Of particular interest is the integration ofthe multiplier stage by the genetic nucleus (integrates downstream) or the commercial herd(integrates upstream). The second paper observes the relevant key performance indicators overtime and across the value chain in comparison to the non-integrated value chain tested in the firstpaper. The third paper explores alternatives to management practices across the swinereproductive value chain. Of particular interest are explorations of two specific industry debates:fresh versus frozen artificial insemination and pooling versus non-pooled semen in thoseinseminations.