By Ghader Manafiazar, cutting board McFadden, Laki Goonewardene, Erasmus Okine and also Zhiquan Wang

Submitted: might 27th 2011Reviewed: June 18th 2012Published: September 26th 2012

DOI: 10.5772/50776


Ghader ManafiazarThomas McFaddenLaki GoonewardeneErasmus OkineZhiquan Wang

*Address every correspondence to:

DOI: 10.5772/50776

From the Edited Volume

Milk ProductionAn Up-to-Date rundown of animal Nutrition, Management and also HealthEdited by Narongsak Chaiyabutr
Milk manufacturing - one Up-to-Date rundown of pet Nutrition, Management and also Health

Edited by Narongsak Chaiyabutr

1. Introduction

The reproduction goal of most livestock to work is maximizing profitability, i m sorry is a duty of input and also output (Veerkamp & Emmans, 1995; Archer et al., 1999; Crews, 2005). In many livestock populations, choice programs have primarily focused on significantly improving means for output traits such as live load gain, fertility, meat and milk yield (Archer et al., 1999; Sainz & Paulino, 2004; Crews, 2005). However, there has recently been a renewed attention in an additional component of profitability, namely the palliation of inputs or the boost in performance (Crews, 2005). Feed is just one of the most necessary input components, and it represents much more than one-half of the complete costs in many livestock work (Kennedy et al., 1993). In the dairy products industry, feed cost represents around 40 come 50% that the complete milk production cost and has raised substantially end the last couple of years (Garcia, 2009). Gibb & Macallister (1999) reported the the financial effect of a 5% innovation in feed performance is four times better than a 5% improvement in average day-to-day gain. Therefore, reducing production expenses or enhancing feed effectiveness are the 2 most essential ways to boost production efficiency and also profitability. They additionally decrease environmental pollution and the carbon footprint (Capper et al., 2010). In order to acquire the maximum services of genetic choice for power efficiency, factors that influence energy efficiency and also its indirect results on other traits must be known. The most common measures of energy efficiency and also their properties space reviewed in this chapter. It also deals with determinants that practically affect energy efficiency. Furthermore, as there room very few reports top top direct selection for energy effectiveness in dairy cattle (Linn, 2006), the authors reviewed the indirect result of an option for energy effectiveness on various other traits in beef cattle and also in other species in enhancement to dairy products cattle.

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2. Energy performance traits

Researchers have actually proposed many measures of energy efficiency such together feed conversion ratio (FCR), gun energy effectiveness (GEE), residual feeding intake (RFI) (Koch et al., 1963; Archer et al., 1999; Crews, 2005) and life time performance (LTE) (Vandehaar, 1998; Vandehaar & St-Pierre, 2006). Their definition, applications and benefits are different.

FCR and also GEE are the most usual measures of effectiveness in the literature. FCR is the ratio of input (e.g. Feed) to calculation (e.g. Weight acquire or milk production) (Crews, 2005). In the dairy products cow, the GEE is identified as the power in the milk separated by the total energy entry (Veerkamp & Emmans, 1995). These approaches lead to only restricted insight into effectiveness of the whole production device (Crews, 2005). The troubles of GEE and FCR have been disputed in plenty of studies (Korver et al., 1991; Veerkamp & Emmans, 1995; Crews, 2005) and also are mainly categorized in 3 groups. First, the power intake has various partial efficiencies for maintenance, lactation, pregnancy and body tissue get or loss, yet the GEE and also FCR carry out not distinguish between them (Veerkamp & Emmans, 1995). Secondly, FCR and GEE are famed to be phenotypically and also genetically correlated with procedures of growth, production and mature size. Therefore, selection of animals based ~ above these actions may rise the maintain requirements. Finally, transforms in GEE and FCR have the right to be the an outcome of changes in either intake (numerator), productivity (denominator) or both (Gunsett, 1984; Veerkamp & Emmans, 1995) and choice direction cannot be predicted an extremely well. Then, selection for improvement of FCR (i.e. Diminished FCR) and also GEE would an outcome in increased development rate, maturation size, and consequently maturation maintenance needs (Korver et al., 1991). It deserve to be finish that improving FCR and GEE by selection for increased expansion rate do not necessarily boost net feed efficiency, because of drawbacks linked with enhanced maintenance needs ( van der Werf, 2004; Crews, 2005).

Lifetime performance (LTE), one more measure of energy efficiency, is characterized as “the record of feed energy in milk, conceptus, and also body tissue split by gross energy intake throughout the life the cow, beginning at birth” (Vandehaar, 1998; Vandehaar & St-Pierre, 2006). This index attempts to summarize an animal’s entire life efficiency and also is a good criterion to collection up a long term vision. In bespeak to compare the LTE in dairy product cows, complete milk production need to be standardized for all determinants such as housing, feeding, age at an initial calving and also calving interval. The LTE greatly depends ~ above the precalving interval and also intercalving intervals. The Precalving expression is defined as the period from bear to an initial parturition and Intercalving Intervals space the intervals between successive calvings (King, 2006). The main comes to related come LTE are: too many of info is forced to calculation the LTE, it is applicable because that the whole life, and it is influenced more by precalving and intercalving intervals.

To get rid of the problems linked with FCR, GEE, LTE and other steps of power efficiency, an alternative measure can be expressed together residual feeding intake (RFI). RFI is a measure up of feed utilization corrected for live weight and also production, and also it is regularly referred to together net feeding or energy effectiveness ( Koch et al., 1963; Korver et al., 1991; Luiting et al.,1992). The ide of RFI can be defined as “the difference in between the actual feed intake and that predicted on the basis of mean requirements for body weight maintenance and also levels of production” (Koch et al., 1963); it is explained schematically in number 1. RFI relies simply on partitioning feed energy intake into portions forced for human body maintenance, stage and also levels of production, and a residual portion. This residual section is pertained to the true metabolic effectiveness of an animal and also would be comparable throughout individuals (Crews, 2005). Sport in RFI most likely reflects underlying organic efficiency after adjustment for power deposition (Crews, 2005; Herd & Arthur, 2009 ). In a population, the mean RFI index end all individuals is zero and approximately half of every individuals have actually RFI values listed below or over the mean. The efficient animals have short RFI values; it means they consume much less feed without compromising their production (Crews, 2005). Indeed, RFI is a network feed efficiency measurement and it have the right to be calculated at any type of time of one animal’s life.


Figure 1.

Schematic ide of residual feed intake (RFI). Two animals which have the same BW and also ADG, space expected to consume the very same amount the feed yet in reality cow A consumes much more than intended while cow B consumes less, so cow B is an ext efficient than A.

3. Factors affecting energy effectiveness in dairy product cattle

Several components influence power efficacy in dairy product cattle. That is almost influenced by dry issue intake (DMI), production level, body organization changes, period at an initial calving (AFC), and environmental factors (Vandehaar, 1998; Linn, 2006). Their ideologies to influence the energy effectiveness are different.

3.1. Dry matter intake and production

Dry issue intake (DMI) and production are the direct contents of most energy effectiveness traits. Dry matter intake (DMI) affects energy efficiency through energy revolution mechanisms native gross to net energy. The straightforward rule that most common efficiency measures, FCR and GEE, is raised production way increased efficiency, but the relationship between the marginal benefit of boosted production and efficiency is not constantly linear.

DMI establishes the quantity of nutrients easily accessible to an pet for maintenance and production. Insufficient intake of nutrient negatively affect production, effective nutrient utilization and health condition of the animal. Providing nutrients in excess also increases feed costs and can result in excretion that nutrients right into the atmosphere ( NRC, 2001; Collier et al., 2006). In dairy product cows, the average DMI is 22.7 kg/d, and also it ranges in between 19.8 to 26 kg/d (Ordway et al., 2009; Vallimont et al., 2010). Heritability that DMI to be reported native 0.16 come 0.48, and also its genetic correlation with power intake ranged from 0.8 to 0.9 (Veerkamp, 1998; Vallimont et al., 2010). Therefore, DMI and also energy intake space genetically nearly the exact same trait. However, the energy transformation mechanisms of DMI, which influence energy efficiency, involve digestion, fermentation and metabolic processes. Gross power (GE) is the lot of released energy in heat combustion. Net power (NE) is the energy which is straight used to assistance maintenance functions, consisting of conversion come milk, conceptus growth and also body tissue gain (NRC, 2001). Feedstuffs have energy in the gross type and it is converted to net energy in several actions (figure 2). Some amounts of the GE space indigestible and ultimately appear in feces; the remaining component is referred to as digestible power (DE). Some component of DE is lost due to gas production (mainly methane) and also urinary energy (mainly urea) during the fermentation process. The staying DE ~ deduction for gas and urinary manufacturing is called metabolizable energy (ME). Finally, convert the ME come net energy (NE) requires metabolic reactions, which create heat that is termed the warmth increment (NRC, 2001; Vandehaar & St-Pierre, 2006). Therefore, the obtainable amount the NE native GE depends on the quantity of losses in digestion, fermentation and also metabolic processes. Practically, it relies on plenty of factors, such together DMI levels, i rate, and dietary fibre (especially, effective neutral laundry detergent fiber, eNDF) level (NRC, 2001). Some studies have actually been carried out to determine the relationship between these factors and also amount the nutrient losses in the different steps of the revolution mechanisms (Moe, 1981; van Soest et al., 1992); castle concluded there is one optimum allude between them. For example, Vandehaar (1998) the evaluation the literature and showed the the relationship between level the DMI and also DE is not linear. When a dairy cow spend DMI for its maintenance requirements, nearly 80% that GE caught is in the kind of DE. Furthermore, over there is a reduction in digestibility as DMI increases (Vandehaar, 1998). Overall, NRC (2001) suggested that digestibility is depressed linearly in ~ 4% per multiple of maintain intake. The assumes that many of the cows consume 3 time their maintain requirement, i beg your pardon is an optimum allude of GEE. In addition, it has been shown that over there is one optimum point of NDF level in terms of converting GE come DE, and it is report to be in between 25 come 30%. Quantities of NDF in the diet beyond this range will decrease energy intake. Higher levels the NDF to fill the rumen, whereas reduced levels may reason some health difficulties (Eastridge, 2006; Vandehaar & St-Pierre, 2006). Finally, the portion of accident in the different steps of energy change shifts and also it is dependency on DMI levels. At greater levels that DMI the losses into feces boost while the quantities of losses as heat increment are greater at reduced levels of input (Vandehaar & St-Pierre, 2006).

Although manufacturing is a fundamental component the determines efficiency, the relationship between marginal advantage of raised production and also efficiency is not linear for all the time. Throughout the past 18 years, the average milk manufacturing of Canadian Holstein cows has increased around 115 kg/cow/year and also currently the median milk yield of a primarily Holstein herd is 9793 kg/cow/yr. The average rate of increase was 1.35% between 1991 and also 2009 (DHI, 2009), and it most likely will proceed to increase. In addition, milk yield heritability is reported together 0.3 (Lee et al., 1992; VanRaden et al., 2009) and also ranges in between 0.16 to 0.5 (Veerkamp, 1998). This method that still over there is tho room to boost milk manufacturing by exploiting genetic selection. The genetic correlation between GEE and milk production in dairy livestock ranged native 0.88 to 0.95 (Pitchford, 2004). It confirms that choosing dairy cows for milk yield immediately improved GEE (Veerkamp & Emmans, 1995). Consequently, FCR (4% FCM/DM) has actually increased indigenous 0.91 in 1991 come 1.2 in 2006, and a usual goal is 1.5 (Eastridge, 2006). Korver (1991) concluded that the improved GEE and also FCR largely reflects the dilution the maintenance. Dilution of maintenance means that together cows consume more, a relatively small fraction of power is offered for maintenance and a larger section is captured in milk. Although over there is no proof to imply that the maintenance demands depend on milk production and also breed, cows with comparable body weight and also breed might vary for maintenance demands by about 8 come 10% (NRC, 2001). These assumptions need more investigation. To set a vision because that the future, Vandehaar (1998) modelled the optimum suggest of milk yield. That proposed that over 15000 kg/yr, the marginal increase in efficiency approaches zero. Therefore, the optimistic correlation in between milk production and also efficiency that has existed in the previous may change in the future, when average milk production surpasses 15000 kg/yr/cow (Vandehaar, 1998).

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DMI and also milk yield are tightly attached as their genetic correlation is report to it is in 0.5 (Vallimont et al., 2010) varying from 0.46 come 0.84 (Veerkamp, 1998). Consequently, selection decisions which readjust milk yield and body load (BW) also change DMI (Veerkamp & Emmans, 1995). Genetic selection mostly focuses on milk yield and also it indirect affects DMI. However, with increased milk production per animal, there is a limit to the increase in DMI because of rumen fill; therefore, the thickness of NE in dairy products rations has been elevated as milk production boosted in the last 30 years. For instance, the diet NE thickness of dairy livestock rations has increased indigenous 1.23 in 1980 to much more than 1.6 Mcal/kg in 2006 (Eastridge, 2006). Thus, it can be inferred that few of the improved efficiency as result of increased milk production is withdrawn by boosting the dietary energy concentration in regards to expenses. Furthermore, the straight relationship between milk production and efficiency may change in the future. Therefore, these concerns drive researcher to define net energy efficiency using concepts such as RFI, i beg your pardon is independent from production and also maintenance in dairy products cattle.