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Prairie Swine Centre is an affiliate of the University of Saskatchewan


Prairie Swine Centre is grateful for the assistance of the George Morris Centre in developing the economics portion of Pork Insight.

Financial support for the Enterprise Model Project and Pork Insight has been provided by:



MANAGING GENERATIONAL EXPECTATIONS

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What does each generation need for success in transition ?

Successors are looking for ways to gain equity or a stake in ownership, they provide labour and want a family life, and they need to be assured that they can service debt. Most of all they want their opinion to be heard and respected. They are not willing to put in the long hours that the previous generations did. They are also very good at using technology to their advantage and working collaboratively.

Twenty-three percent of millennials (ages 21 to 36) still require financial assistance from their parents. This rings true for successors who cannot afford to buy all of their boomer parent’s farm assets. These successors are looking for a collaborative solution of buyouts, gifting, and fair loans from the founders.

Respect is a good mode of communication to be transferred by all generations. Some 37- 51 year old Gen X’ers may be using profane language mixed with anger that is not helping their cause of trying to get transfer agreements in place.

So, reflect on what your generation can do to have more effective communication with the different generations on your farm team.

 

PUSHING THE BOUNDARIES OF AI TECHNOLOGY

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PAST

By the mid 1990s the US industry was interested in AI, and estimates were that 20-25% of sows were being mated with the technology. AI still offered the benefits to health, genetic access, etc. that it did 25 years earlier.

Within ten years the industry embraced the technology such that survey data showed over 90% of sows were being mated by AI by the late 1990s.

In 2001 Extension swine specialists shared European data about how sperm numbers could be reduced (cut in half) by adopting a catheter that by-passed the cervix and deposited semen directly into the uterine body; intrauterine insemination or IUI.

PRESENT

It is estimated that today 1/3 of sows are mated using IUI, though it is often referred to as PCAI (post-cervical insemination) and using half the number of sperm cells used previously.

FUTURE

OvuGel (JBS United Animal Health in the US; Elanco Animal Health in Canada; approved for use in the US on weaned sows) allows for a single fixed-time insemination in sows.

The ability to further reduce the number of sperm cells in 80% of matings could again profoundly impact progeny performance by allowing higher selection intensity of sires.

Incorporation of this technology allows less time (or no time) to be spent on detection of estrus, and only half as many sow matings to be performed.

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PUSHING THE BOUNDARIES OF AI TECHNOLOGY

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The widespread adoption of artificial insemination (AI) with stored boar semen has become an important production management tool in the Canadian swine industry.

The current AI industry is built upon the use of liquid semen stored in extenders that provide commercially acceptable fertility rates for a period of several days. For much of the last two decades, common practice has been to store extended semen at 17°C and perform 2-3 intracervical inseminations/estrus cycle using 1.5-3 billion sperm in a large volume (~70 ml). The swine industry has adopted production practices and the infrastructure required to produce, distribute and store these high quality semen doses from genetically superior boars at an economically viable cost.

CRYOPRESERVED SEMEN

In addition to the advantages of using liquid semen for AI, it also provides: the ability to plan inseminations, efficiencies in the import/export of genetics, control of disease transmission, long-term genetic banking, genetic transfer between nucleus herds and can function as a backup in case of a disaster.

SEX SORTED SPERM

A potential complementary technology for the use of frozen-thawed boar sperm and/or low dose inseminations may be the use of sexed sperm. The benefits of sexed sperm to producers would be the production of more female piglets and a reduction in the number of male piglets that would need to be castrated.

CONCLUSIONS

In the near future, adopting the use of cryopreserved and/or sex-sorted sperm in combination with low dose insemination procedures, even in limited instances, may allow producers to exploit specific advantages they offer to their particular production circumstances.

MANAGING THE HEALTH STATUS OF THE SOW

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Infectious diseases continue to cause considerable challenges for swine health and welfare. At the population level, they contribute to reduced average output and increase in variability. As such, they have a negative impact on profitability and complicate pig flow at the farm and production system levels. Severe manifestations of infectious diseases undoubtedly have an effect on the people directly working with animals; an impact that is often not fully appreciated.

In a survey published in 2007 (1), the most commonly reported pathogens in sow herds were PRRSV, influenza virus, Clostridium type A, and Streptococcus suis. In production systems that reported pathogens of concern for sow herds, PRRSV ranked as number one, causing the most issues with productivity, followed by influenza, Clostridium type A, and Rotavirus (either alone or in combination with Escherichia coli). The ranking could have changed since then, if for no other reason than because of the emergence of porcine epidemic diarrhea (PED), which caused significant losses in naïve populations.

A clear differentiation between infection and disease is essential to reach the goals of control or elimination of a pathogen or clinical diseases from sow herds. Details on the natural history of the disease of interest are also required, but commonly not readily available. One example of a tool available for such cases is the use of mathematical simulation models; these models can help planning control or elimination strategies while taking into consideration between-animal biological variability and pathogen characteristics that are uncertain.

THE MODERN SOW: TOP PRODUCTION ISSUES

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The North American pork industry has substantially increased the number of piglets born per litter. Improvement in litter size was achieved through better management and implementation of effective genetic selection programs for litter size. However, the increase in number of piglets born per litter is associated with more piglets with low birth weight, increased preweaning mortality of piglets, and a greater demand placed on the sow to produce more milk. There are people who have stated concerns about the welfare of the animals. The health and welfare concerns can be minimized by using proper management procedures and excellent caretakers.

Some of the management aspects that can help increase preweaning survival include: understanding the complex interaction between the sow, piglet, environment and caretaker; managing to correct for number of non-functional mammary glands and nipples; effective management of colostrum when sows have a large number of piglets; effective use of cross-fostering procedures; managing lactation feed intake for genetically lean sows with large litters; utilization of a detailed procedure for training and supervising new employee.

The required husbandry skills of caretakers has increased because numerous sows are now farrowing more piglets than they can nurse; thus, colostrum management and cross-fostering skills are needed. Because large litters require a large volume of milk per day, the management of lactation feed allotment is critical. Excellent management needs to be used every day whereby all piglets and sows are provided appropriate welfare conditions.

OPTIMIZING LOOSE HOUSING

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In most of European countries, group housing has been mandatory since 2013. Since the legislation is part of a European directive, member states may adopt stricter-than-national provisions. This can lead to additions or minor deviations. The majority of member states, however, have adopted the requirements unchanged.

Loose housing can be done in different ways, such as:

• Crates with free access

• Small groups of 6-8 sows

• Larger groups of 20-30 sows with long trough

• Electronic Sow Feeding (ESF)

To optimize a loose housing system with ESF, one-way routing for the sows is preferable. Panel division between laying areas should not be too high. It is important to teach gilts social skills in early stages so they become well socialized sows in any group housing system. To keep sows in good condition during pregnancy, an individual feeding system can optimize productivity. This is also important during lactation. This will becomes a greater challenge if sow productivity increases.

PARITY 3 ROADBLOCK

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The proportion of sows in the breeding herd that fail to remain beyond their third parity can result from single or multiple factors that may interact and lead to culling. Most of the reasons for culling reside in the involuntary category with the leading reasons involving reproductive failure and poor litter performance. Although other issues such as locomotor problems are prevalent, this paper focus’s on reproductive and litter failures, which collectively account for 60% of all cullings. Factors associated with culling alone and in combination with other risk factors include young parity, excessive weight loss in lactation, season, short lactation length, improper boar exposure and single service.

While the causes for each of these failures can be single and in some cases multi-factorial, making changes for increased sow retention past parity 3 will require more detailed information to make advances. Information on the female, her history, recent events and observations from different stages of production would be important for helping troubleshoot problems and minimize problems in the future. While it may not be possible to correct ongoing fertility problems in certain females, it may be most effective to try and prevent similar types of problems in subsequent groups of sows identified for risk of failure. Knowing the risk factors associated with the specific types of failures on farms could help identify factors that can be controlled to reduce the incidence of these types of failures in the future. Treating each case of failure as unique will allow for a thorough accounting for history, and will provide the greatest chance for identifying contributing factors and eliminating these risks.

MANAGING IMMUNITY

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On commercial swine farms clinical and sub-clinical disease continue to contribute to losses in production efficiencies, lowering profits. Various approaches are available to reduce the negative impact of disease, including nutrition, genetic selection, and various aspects of on farm management.

In terms of nutrition, feeding newly-weaned pigs, low complexity diets increases their susceptibility to disease. The optimum inclusion level of fish oil in corn and soybean meal based nursery diets is about 2.5%, reducing the dietary ratio between omega-6 and health benefit providing omega 3 fatty acids from about 18 in diets with no fish oil to 3.

strides are being made in genetically selecting pigs that have improved resistance to multiple pathogens or a particular pathogen (i.e., PRRSV), or to identify genetic defects that may render pigs more susceptible to disease. Based on these approaches various genetic markers have been identified.

On-farm studies are conducted in Ontario to establish the prevalence of a number of pathogens on different farms and among pigs within farms, to relate pathogen load to reductions in animal performance, to identify so- called biomarkers for pathogen load and reduction in performance, and to establish the effect of pig genotype and feeding-programs on the pig’s ability to cope with pathogens. These studies illustrate the large variability in nursery pig performance in Ontario, and the close association between expression of some genes in the liver, as well as plasma levels of selected cytokines and acute phase proteins, with nursery performance. These relationships should be explored further and will help us to identify approaches to minimize the negative effects of sub-clinical disease on pig performance, wellbeing and profits.

TROUBLESHOOTING FOR OPTIMUM NURSERY AND FINISHER BARN PERFORMANCE

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Development of standard protocols that apply to all pigs must always recognize the unique needs of different sub-groups within the total weekly weaning. Nonetheless, as more research on critical topics such as the thermal environment, housing and feed management and nutrition, advances can be made. Clearly, improvements achieved in nursery management will pay big dividends in terms of overall performance, including that in grow out.

Failure to manage the nursery properly may cause any number of problems, including

  • increased mortality
  • lower nursery exit weights
  • Higher feed conversations
  • increased medication to handle individual and group health problems
  • lower ADG and higher cost per kg of gain

Managing a finishing barn or operation requires as much detail as sow and nursery barn. Establishing good strong daily routines and follow up with issues for pig health and barn operations help to achieve great finishing barn performance.

TROUBLESHOOTING WITH NEW TECHNOLOGY

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Trouble shooting begins with the identification of a problem. The advent of all-in/all-out flows have allowed producers to monitor grow-finish performance at the time of last pig removal and identify performance limitations. Having a set routine to troubleshoot facilities makes sure you don’t miss items during the effort to remove these limitations.

Recently two different data sets are available that highlight ‘normal’ performance in production facilities. While these data sets have some overlap between producers providing input, for the most part they represent different segments of the US and North American production industry.

The data reviewed by Stalder (2014) includes the majority of the production systems in the Southeast and southern plains regions. It also includes several of the larger production systems in the upper Midwest. The systems in this data set tend to use diets with higher levels of dietary fat additions and often pellet their diets in owned/controlled feed mills.

The data from the MetaFarms record system tends to represent more upper Midwest and Canadian producers. In many instances they have on-farm feed processing or use toll mills with limited pelleting capabilities. The diets tend to include higher levels of DDGS as an ingredient due to the localized availability and pricing of this ingredient.

 
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