Abstract
To meet the growing consumer demand for chicken meat, the poultry industry has selected broiler chickens for increasing efficiency and breast yield. While this high productivity means affordable and consistent product, it has come at a cost to broiler welfare. There has been increasing advocacy and consumer pressure on primary breeders, producers, processors, and retailers to improve the welfare of the billions of chickens processed annually. Several small-scale studies have reported better welfare outcomes for slower-growing strains compared to fast-growing, conventional strains. However, these studies often housed birds with range access or used strains with vastly different growth rates. Additionally, there may be traits other than growth, such as body conformation, that influence welfare. As the global poultry industries consider the implications of using slower growing strains, there was a need for a comprehensive, multidisciplinary examination of broiler chickens with a wide range of genotypes differing in growth rate and other phenotypic traits. To meet this need, our team designed a study to benchmark data on conventional and slower-growing strains of broiler chickens reared in standardized laboratory conditions. Over a 2-year period, we studied 7,528 broilers from 16 different genetic strains. In this paper, we compare the growth, efficiency, and mortality of broilers to one of two target weights (TW): 2.1 kg (TW1) and 3.2 kg (TW2). We categorized strains by their growth rate to TW2 as conventional (CONV), fastest-slow strains (FAST), moderate-slow strains (MOD), and slowest-slow strains (SLOW). When incubated, hatched, housed, managed, and fed the same, the categories of strains differed in body weights, growth rates, feed intake, and feed efficiency. At 48 d of age, strains in the CONV category were 835 to 1,264 g heavier than strains in the other categories. By TW2, differences in body weights and feed intake resulted in a 22 to 43-point difference in feed conversion ratios. Categories of strains did not differ in their overall mortality rates.
Key words: broiler, feed efficiency, mortality, slow growing, welfare
Introduction
As a global protein source, chicken production is more sustainable than beef or pork in terms of carbon emissions (Clune et al., 2017), and with the burgeoning human population and widespread acceptance of chicken meat consumption, chickens began dominating global meat production in 2020 (OECD/FAO, 2020). Genetic selection has resulted in a larger, leaner, more efficient chicken that reaches a market weight of 2.1 kg weeks earlier than even 35 yr ago (Havenstein et al., 2003; Zuidhof et al., 2014). However, this level of production is associated with animal welfare concerns, as modern commercial strains of broiler chickens are reported to be unable to perform natural and motivated behaviors (Bokkers and Koene, 2004; Bokkers et al., 2007) or may experience lameness (Bassler et al., 2013; Kittelsen et al., 2017). Through genetic selection, the prevalence of some health conditions such as tibial dyschondroplasia (TD), long bone deformities, and ascites has been decreasing over the past 30 yr (Kapell et al., 2012a, 2012b; Rekaya et al., 2013). Despite these improvements, recent studies have found that 15 to 25% of broilers were moderately to severely lame, with lameness increasing with increasing body weight (BW) (Opengart et al., 2018; Wilhelmsson et al., 2019). As moderate to severe lameness is considered painful (Nääs et al., 2009; McGeown et al., 1999), this represents a significant welfare concern, particularly as production of heavy broilers (eviscerated weight > 2 kg) has doubled in the past 2 decades (AAFC, 2019) and average broiler BWs increase every year (National Chicken Council, 2020).
There is growing concern that conventional broiler production will continue to pose welfare concerns for the chickens (e.g., Dawkins and Layton, 2012; Hartcher and Lum, 2020). As a result, there is increasing attention being paid to the use of alternative genetic strains of “slow”-growing broiler chickens. However, there are different definitions of slower growing among global regulations and animal welfare standards. For example, German regulation stipulates that slower-growing strains must grow at a maximum of 80% of the rate of conventional broilers, which would give an approximate growth rate of 48 to 50 g/day (Federal Office for Agriculture and Food, Working Group of the Federal States on Organic Farming, 2009). The Label Rouge program in France requires broilers to be in production for at least 81 d to grow to 2.1 kg, leading to a growth rate of 26 g/day (Volaille Label Rouge, 2020). The Dutch Beter Leven (Better Life) program specifies that slower-growing broilers are processed at 56 d or later, with a growth rate less than 45 g/day (Beter Leven, 2016). In essence, there is no standard definition of a slower-growing broiler, but the alternative strains of broilers may require anywhere between 7 and 50 extra days in production to reach a similar BW as conventional broiler chickens.
As part of a large, comprehensive project examining the health, welfare, and productivity of broiler chickens, we studied the growth and efficiency of different strains of broiler chickens, with the objective to benchmark data on conventional and slower-growing strains of broiler chickens reared under standardized laboratory conditions. We studied 16 different genetic strains of broiler chickens over a 2-year period to understand differences in behavior, activity, physiology, anatomy, mortality, growth, feed efficiency, and carcass and meat quality as they relate to the strains' growth rates and age. In this paper, we describe the overall project methodology and compare the production, efficiency, and mortality of 16 strains of broiler chickens.
Materials and methods
Over eight trials, 7,528 broiler chickens from 16 strains were hatched and reared at the Arkell Poultry Research Station of the University of Guelph. All procedures used in this experiment were approved by the University of Guelph's Animal Care Committee (AUP # 3746) and were in accordance with the guidelines outlined by the Canadian Council for Animal Care (NFACC, 2016).
Incubation, Hatch, and Neonatal Processing
Hatching eggs were received from primary breeding companies 1 to 5 d prior to set date. Breeding flocks were located within North America. Identifying information (e.g., company and genetic strain name) was removed, and each case for each strain was relabeled with an alphabetical code (e.g., A, B, C etc.). Experimenters were blind to genetic strain identities for all measurements. Eggs were stored at 15°C until removal for incubation. Individual eggs were labeled with their strain code using pencil and segregated by strain among incubation trays. Eggs were incubated at 37.5°C, 55% RH, with turns every hour, for 18 d. On day 19 of incubation, eggs were candled, and fertile eggs were placed in the hatcher for 3 d at 36.9°C, 65% RH. All unhatched eggs were broken, and live embryos and surplus chicks were euthanized using carbon dioxide. Any unthrifty or deformed chicks were also euthanized.
Individual birds were vent sexed by an experienced technician and weighed. Birds received vaccines to protect against infectious bronchitis virus (Merial bronchitis vaccine, Mass type, live virus spray vaccine; Boehringer Ingelheim Animal Health Canada Inc. Burlington, ON, Canada), Marek's Virus Disease (Vectormune IBD + Rispens subcutaneous vaccine, Ceva Animal Health, Cambridge, ON, Canada), and coccidiosis (Immucox 5 spray vaccine, Ceva Animal Health, Cambridge, ON, Canada; spray vaccine).
Housing
All chickens were reared in a single room, over time, at the Arkell Poultry Research Station, Guelph, ON, Canada. This room contained 28 floor pens, each measuring 160 × 238 cm. Each pen had solid plastic white walls. Pens were equipped with a round pan feeder (diameter = 33.75 cm), 5 nipple drinkers, a 25° ramp to a raised platform that was 30 cm above litter, a hanging round scale (diameter = 50.8 cm), a mineral PECKstone (cut into ¼ the original size; Protekta, Inc., Lucknow, ON, Canada), and nylon ropes with strips of polyester cloth tied to the end as enrichment (Figure 1). Softwood shavings were used as litter, and litter was replaced at the start of each trial. There were no windows, although 2 air vents (positioned above pens 9, 10, 19, 20 and 12, 13, 14, 15) allowed in the occasional natural light. On the first 3 d, 23 h of light was provided to ensure chicks found food and water. Thereafter, 16 h of light was provided, with one 8-hour dark period. Light intensity was kept at 20 lux via dimmable LED lights (12W, 3000K warm white, flicker-free bulbs with high-grade single chip; Think LED, Cambridge, ON, Canada). A 15-min dawn/dusk schedule was used, with full lights on at 06:00. Temperature was 32°C at placement and was reduced to 31°C on day 5. At the start of weeks 2 to 5, room temperature was reduced incrementally, until 21°C at week 5.
Diet
An all-vegetable, antibiotic-free diet was provided ad libitum (feed formulation and calculated composition available in Supplementary materials). Diets were formulated and milled at the University of Guelph to meet the specifications of a moderate slower-growing broiler (Mohammadigheisar et al., 2020). Diets were provided in 3 phases (starter, grower, and finisher). Metabolizable energy for the 3 phases was 2.874 mcal/kg for starter, 2.98 mcal/kg for grower, and 2.91 mcal/kg for finisher. Crude protein (N × 6.25) for the 3 phases was 21.46% for starter, 20.50% for grower, and 19.58% for finisher. Diets were changed when strains reached the same approximate feed intake as the conventional strain, except for Trial 1 when diets were changed for all birds at 14 and 28 d (onto grower and finisher diets, respectively). In Trial 2, diets were changed based on feed intake, although birds were weighed on days 14 and 28. Therefore, data for growth and efficiency for consumption of equal amounts of feed excludes Trials 1 and 2, whereas data for target weights 1 and 2 include all eight trials. Each pen transitioned to the next phase diet upon consumption of approximately 500 g/bird starter diet and 1,470 g/bird grower diet. Diets were a fine crumble for starter phase, coarse crumble for grower phase, and short pellet for finisher stage. Representative samples of feed from each phase were submitted to a commercial laboratory (SGS Inc, Guelph, ON, Canada) for proximate and minerals analyses and AME was estimated based on proximate analyses (data available in Supplementary Materials).
Experimental Design
In total, 16 strains of broiler chickens were used in this study (Table 1): 3 conventional and 13 slower-growing strains. Most strains were represented in 4 pens within each of 3 trials, although there were exceptions due to availability or hatchability (Table 2). Pens within the room were blocked into 4 groups based on location (Figure 2). Within a trial, birds from each strain were placed in one pen in each of the 4 blocks. Trials ran from April 2018 until November 2019.
Table 1.
Strain | Estimated days to 2.1 kg | Estimated ADG, g/day | Realized ADG, g/day |
Category2 | |
---|---|---|---|---|---|
Target wt 1 | Target wt 2 | ||||
A1 | 34 | 61.76 | 49.12 | 62.65 | - |
B | 36 | 58.33 | 54.03 | 68.70 | CONV |
C | 37 | 56.76 | 55.26 | 66.01 | CONV |
M | 50 | 42.00 | 51.97 | 55.46 | FAST |
F | 43 | 48.84 | 53.08 | 55.29 | FAST |
I | 45 | 46.67 | 47.10 | 54.65 | FAST |
G | 44 | 47.73 | 47.40 | 53.54 | FAST |
H | 44 | 47.73 | 47.86 | 51.22 | MOD |
E | 42 | 50.00 | 53.27 | 50.83 | MOD |
S | 51 | 41.18 | 45.57 | 50.61 | MOD |
O | 40 | 52.50 | 47.78 | 50.15 | MOD |
J | 47 | 44.68 | 42.73 | 47.73 | SLOW |
D | 50 | 42.00 | 42.44 | 45.56 | SLOW |
N | 50 | 42.00 | 39.82 | 44.06 | SLOW |
K | 49 | 42.86 | 39.31 | 43.58 | SLOW |
T1 | 120 | 17.50 | -- | 19.78 | - |
Strains A and T were represented in few pens (4) and were therefore not included in statistical analyses. The data are included for descriptive purposes only.
Strains were divided into categories based on realized Average Daily Gain to Target Weight 2. This facilitated analyses and enables generalizations based on growth rates.
Table 2.
Strain | Trial 1 | Trial 2 | Trial 3 | Trial 4 | Trial 5 | Trial 6 | Trial 7 | Trial 8 | Total |
---|---|---|---|---|---|---|---|---|---|
A | 4 | 4 | |||||||
B | 4 | 4 | 4 | 12 | |||||
C | 4 | 4 | 4 | 12 | |||||
D | 4 | 4 | 4 | 12 | |||||
E | 4 | 8 | 12 | ||||||
F | 4 | 4 | 4 | 12 | |||||
G | 2 | 2 | 4 | 4 | 12 | ||||
H | 4 | 4 | 4 | 12 | |||||
I | 4 | 4 | 4 | 12 | |||||
J | 4 | 4 | 4 | 12 | |||||
K | 4 | 4 | 4 | 12 | |||||
M | 4 | 4 | 8 | ||||||
N | 4 | 4 | 4 | 12 | |||||
O | 4 | 4 | 4 | 12 | |||||
S | 4 | 4 | 4 | 12 | |||||
T | 2 | 2 | 4 |
At hatch, all birds of each sex from each strain were weighed as a group, and the average hatch weight for each sex and strain was determined. Then, 22 males and 22 females per strain were selected for each pen based on their average weight being within 10% of their sex and strain's average BW. In each pen, 44 birds were placed (22 males and 22 females) on day of hatch.
In Trial 1, half of the birds from each pen (equal numbers of males and females) were processed at 34 d (for strain C) or at 48 d (for other strains), and birds remaining in the 2 pens per strain were combined to maintain stocking density. In all the other trials, entire pens were processed together to eliminate the effect of mixing birds. On day 34, half of the pens of conventional strains (A, B, C) were processed. The remaining pens of conventional strains were reduced to 38 birds (19 males, 19 females) each. All pens of slower-growing strains were reduced to 42 birds (21 males, 21 females) each at 34 d. This was done to maintain as similar a stocking density (kg/m2) as possible. On day 48, the remaining pens of conventional strains were processed along with half of the pens with slower-growing strains (D-T). The remaining pens of slower-growing strains were reduced to 38 birds (19 males, 19 females) and processed on day 62. Realized stocking densities at 34 d of age were: CONV: 21.3 kg/m2; FAST: 19.0 kg/m2; MOD: 18.4 kg/m2; SLOW: 15.8 kg/m2. At 48 d, realized stocking densities were: CONV: 32.0 kg/m2; FAST: 26.2 kg/m2; MOD: 25.9 kg/m2; SLOW: 21.4 kg/m2; At 62 d, realized stocking densities were: FAST: 34.33 kg/m2; MOD: 31.7 kg/m2; SLOW: 28.1 kg/m2.
To facilitate comparisons, 2 “target weights” (TW) were chosen to represent common processing weights. The first target weight (TW1) was estimated to 2.1 kg. Based on the breeder estimated days to 2.1 kg, TW1 was calculated for conventional strains (A, B, C) at 34 d of age and for slower-growing strains (D-T) at 48 d of age. The second target weight (TW2) was estimated to 3.2 kg. Based on breeder estimated days to 3.2 kg, TW2 was calculated for conventional strains at 48 d of age and for slower-growing strains at 62 d of age. These ages were chosen to align with the mean ages for the conventional and slower-growing strains and for convenience in processing at a commercial plant.
Data Collection
BWs were measured on a group basis on day 0 and at each change of diet phase. For conventional strains, this was on days 14, 28, 35, and the day prior to processing. The day of diet phase change was not standard among slower-growing strains. Group weights were determined on the day prior to processing. Average daily gain (ADG) was calculated based on average group weights and was adjusted for mortalities and culls.
Feed intake (FI) was determined on a per-pen basis and was determined based on diet phase. Conventional strains (A, B, C) transitioned to different diet phases at days 14 and d28. Their feed intake was determined at days 14, 28, 35, and on the day of processing. Slower-growing strains transitioned to different diet phases depending on their feed intake (500 g/bird of starter diet; 1,470 g/bird of grower diet). Feed intake was determined for each diet phase, and until processing day. Feed intake was corrected for mortality as it occurred. Feed conversion ratio (FCR) was calculated as grams feed intake/grams BW, based on average pen feed intake and average pen BW. cFCR was the FCR adjusted for mortalities and culls.
Mortality was recorded as it occurred (along with the bird's BW and cause of death, if known). Birds were checked at a minimum of once per day, and birds were euthanized by manual cervical dislocation if they were lame (e.g., unable to support their BW or walk more than 1 m), unthrifty (e.g., visibly smaller than pen-mates, ruffled feathers, lethargic), or had serious injuries (e.g., broken wing). Mortality is reported as the percentage of birds culled and found dead.
Statistical Analyses
To aid analyses and enable generalization by growth rate, we categorized strains by their ADG to TW2 into one of 4 categories (conventional, CONV; fastest slow growing, FAST; moderate slow growing, MOD; slowest slow growing, SLOW). CONV encompassed two strains (B and C), FAST encompassed four strains (F, G, I, and M), MOD encompassed four strains (E, H, O, and S), and SLOW encompassed four strains (D, J K, and N); 2 strains (A and T) were excluded from statistical analyses due to low sample sizes (Table 1). All data were input into Excel prior to statistical analyses with SAS v9.4. Data were analyzed using a generalized linear mixed model (GLIMMIX procedure), with pen as the independent experimental unit. Significance level was set at P-values less than 0.05. Separate models were built to analyze effects according to age and target weight. For both, category and strain nested within category were used as fixed effects, and trial and block were used as random effects. To analyze differences by age, age was fit into a repeated structure that produced the lowest Akaike information criterion value. To analyze differences by target weight, target weight was included as a fixed effect. Trial and block were included in the covariance structure as random effects. Age was fit into a repeated structure, where appropriate. Contrast statements were used to compare categories and strains within categories. Pairwise comparisons were adjusted for multiple comparisons using the Tukey adjustment. Model assumptions were assessed using a scatterplot of studentized residuals, linear predictor for linearity, and a Shapiro–Wilk test for normality. The Gaussian distribution was used as the default distribution, but if the assumption for linearity was not met, data were transformed via the selection of a different distribution. Mortality data were analyzed as ordinal (i.e., number of birds per pen that died) since zeros were overrepresented and normality could not be achieved with any transformation. Ordinal data were analyzed using GLIMMIX with a multinomial distribution. Odds ratios were calculated to compare differences in the levels of fixed effects.
Results
Data are presented first as comparisons between categories and then as comparisons between strains within categories.
Production and Efficiency Through Consumption of the Same Feed Allotment by Category
Since we categorized strains by growth rate post-hoc (Table 1), BW and ADG differed among categories, with CONV having the highest BW and ADG, and the SLOW having the lowest BW and ADG (Table 3), through the consumption of the same allotment of feed.
Table 3.
Variable | Category |
|||
---|---|---|---|---|
CONV | FAST | MOD | SLOW | |
Starter | ||||
BW (kg) | 0.47 ± 0.01a | 0.42 ± 0.01b | 0.42 ± 0.01b | 0.39 ± 0.01c |
ADG (g) | 29.95 ± 0.46a | 24.67 ± 0.43b | 23.36 ± 0.43c | 20.77 ± 0.43d |
ADFI (g) | 36.42 ± 0.58a | 31.15 ± 0.53b | 30.93 ± 0.53b | 28.94 ± 0.53c |
cFCR2 (g feed/g BW) | 1.22 ± 0.02c | 1.26 ± 0.09c | 1.33 ± 0.02b | 1.40 ± 0.02a |
FCR (g feed/g BW) | 1.22 ± 0.02c | 1.26 ± 0.028c | 1.33 ± 0.02b | 1.40 ± 0.02a |
Days3 | 14.00 ± 0.00 | 15.47 ± 0.61 | 15.92 ± 0.94 | 16.60 ± 0.87 |
Grower | ||||
BW (kg) | 1.50 ± 0.03a | 1.33 ± 0.02b | 1.32 ± 0.02b | 1.23 ± 0.02c |
ADG (g) | 73.50 ± 1.16a | 56.02 ± 1.04b | 53.55 ± 1.04c | 50.33 ± 1.02d |
ADFI (g) | 105.77 ± 4.40a | 86.37 ± 4.34b | 82.87 ± 4.34c | 83.03 ± 4.34c |
cFCR (g feed/g BW) | 1.41 ± 0.09c | 1.54 ± 0.08b | 1.55 ± 0.08b | 1.65 ± 0.08a |
FCR (g feed/g BW) | 1.41 ± 0.09c | 1.54 ± 0.08b | 1.56 ± 0.08b | 1.65 ± 0.08a |
Days | 14.00 ± 0.00 | 16.56 ± 1.03 | 17.14 ± 0.59 | 17.50 ± 1.88 |
Finisher | ||||
BW (kg) | 2.02 ± 0.026a | 1.95 ± 0.020a,b | 1.94 ± 0.020b | 1.77 ± 0.020c |
ADG (g) | 89.12 ± 2.82a | 78.61 ± 2.24b | 83.94 ± 2.24a,b | 57.61 ± 2.17c |
ADFI (g) | 159.02 ± 4.35a | 145.00 ± 2.38b | 158.64 ± 3.38a | 123.15 ± 3.26c |
cFCR (g feed/g BW) | 1.82 ± 0.06b | 1.86 ± 0.05b | 1.89 ± 0.05b | 2.15 ± 0.05a |
FCR (g feed/g BW) | 1.88 ± 0.05b | 1.88 ± 0.04b | 1.89 ± 0.04b | 2.13 ± 0.04a |
Days | 6.13 ± 1.09 | 8.08 ± 1.13 | 7.89 ± 1.01 | 9.48 ± 1.38 |
Overall | ||||
ADG, g/bird | 58.48 ± 0.61a | 48.27 ± 0.50b | 46.81 ± 0.50c | 40.23 ± 0.49d |
ADFI, g/bird | 87.19 ± 2.08a | 76.88 ± 2.02b | 75.62 ± 2.02b | 70.53 ± 2.01c |
cFCR, g feed/g BW | 1.49 ± 0.04c | 1.59 ± 0.03b | 1.62 ± 0.03b | 1.75 ± 0.03a |
FCR, g feed/g BW | 1.51 ± 0.04c | 1.60 ± 0.04b | 1.62 ± 0.04b | 1.75 ± 0.04a |
Age, day | 34.13 ± 0.27 | 40.11 ± 0.27 | 40.94 ± 0.26 | 43.58 ± 0.27 |
a-cWithin a row, values without a common superscript differ, adjP<0.05.
Because of differences in methodologies, trials 1–2 were omitted from this data set as diets were changed at 14 and 28 d for all strains.
Mortality adjusted feed conversion ratio.
Mean number of days to consume approximately 0.50 kg starter, 1.48 kg grower, and 1.00 kg finisher feed allotment.
Differences in BW (F3,109 = 81.44; P < 0.0001) and ADG (F3,109 = 350.08; P < 0.0001) among categories were apparent through consumption of the 0.5 kg starter allotment (Table 3). CONV finished their starter feed allotment 1.47 to 2.60 d earlier and had heavier BW and ADG than other categories (Table 3). SLOW had the lowest BW and ADG through consumption of the starter allotment. FAST and MOD did not differ in BW through the starter period. Average daily feed intake (ADFI; F3,109 = 96.05; P < 0.0001) and FCRs (corrected for mortality; cFCR; F3,109 = 36.65; P < 0.0001) differed by category through consumption of the starter feed allotment. CONV had the highest, and SLOW had the lowest ADFI. CONV and FAST had similar cFCR and were more efficient than MOD and SLOW. MOD also had better cFCR than SLOW.
CONV consumed 1.48 kg of grower ration in 14 d (Table 3). Other categories needed 2.56–3.50 extra days to consume a similar amount. Categories differed in BW (F3,109 = 89.76; P < 0.0001), ADG (F3,109 = 211.76; P < 0.0001), ADFI (F3,109 = 196.24; P < 0.0001), and cFCR (F3,109 = 7.20; P = 0.0002), with CONV having heavier BW, higher ADG, higher ADFI, and better cFCR than all other categories (Table 3).
Through consumption of approximately 1.0 kg finisher feed, categories differed in their BW (F3,109 = 35.78; P < 0.0001), ADG (F3,109 = 37.12; P=<0.0001), and ADFI (F3,109 = 48.32; P < 0.0001). CONV was heavier than MOD and SLOW (with FAST intermediate between CONV and MOD) and had higher ADG than other categories (Table 3). CONV and MOD had similar ADFI during this phase, with higher daily feed intake than FAST and SLOW. cFCR differed by category (F3,109 = 6.18; P = 0.0006). CONV, FAST, and MOD had similar FCRs and were more feed efficient than SLOW.
Production and Efficiency Through Consumption of the Same Feed Allotment by Strains Within Category
Within categories, strains differed in BW (F10,109 = 11.25; P < 0.0001), ADG (F10,109 = 15.99; P < 0.0001), ADFI (F10,109 = 10.26; P < 0.0001), and cFCR (F10,109 = 2.95; P = 0.0026) during the starter period. During the grower period, BW (F10,109 = 5.54; P < 0.0001), ADG (F10,109 = 11.12; P < 0.0001), and ADFI (F10,109 = 13.85; P < 0.0001) differed between strains within categories. There was no effect of strain within category on cFCR during the growing phase (F10,109 = 1.33; P = 0.22). During consumption of the same amount of finisher feed, strains within categories differed in BW (F10,109 = 5.35; P < 0.0001), ADG (F10,109 = 4.25; P < 0.0001), ADFI (F10,109 = 14.98; P < 0.0001), and cFCR (F10,109 = 2.43; P = 0.0118).
In the CONV category, strain B was heavier in each dietary phase and had higher ADG and ADFI during the starter and grower periods, than strain C (Table 4). Both conventional strains had similar FCR in each dietary phase. Although not statistically analyzed, strain A performed similar to strain C in terms of BW, ADG, and ADFI.
Table 4.
Variable | Strain |
||
---|---|---|---|
A2 | B | C | |
Starter | |||
BW (kg) | 0.45 ± 0.1 | 0.50 ± 0.01a | 0.45 ± 0.01b |
ADG (g) | 28.82 ± 0.48 | 31.80 ± 0.55a | 28.10 ± 0.57b |
ADFI (g) | 34.10 ± 0.46 | 38.84 ± 0.71a | 34.00 ± 0.73b |
cFCR3 (g feed/g BW) | 1.18 ± 0.01 | 1.23 ± 0.03 | 1.21 ± 0.03 |
FCR (g feed/g BW) | 1.18 ± 0.01 | 1.23 ± 0.03 | 1.21 ± 0.03 |
Days4 | 14.00 ± 0.00 | 14.00 ± 0.00 | 14.00 ± 0.00 |
Grower | |||
BW (kg) | 1.36 ± 0.01 | 1.58 ± 0.03a | 1.42 ± 0.03b |
ADG (g) | 64.70 ± 0.79 | 77.22 ± 1.50a | 69.79 ± 1.55b |
ADFI (g) | 103.68 ± 0.77 | 109.12 ± 4.61a | 102.41 ± 4.69b |
cFCR (g feed/g BW) | 1.60 ± 0.03 | 1.41 ± 0.09 | 1.41 ± 0.09 |
FCR (g feed/g BW) | 1.60 ± 0.03 | 1.41 ± 0.09 | 1.41 ± 0.09 |
Days | 14.00 ± 0.00 | 14.00 ± 0.00 | 14.00 ± 0.00 |
Finisher | |||
BW (kg) | 1.87 ± 0.10 | 2.14 ± 0.04a | 1.90 ± 0.04b |
ADG (g) | 93.88 ± 5.02 | 90.62 ± 3.94 | 87.61 ± 3.98 |
ADFI (g) | 156.10 ± 7.73 | 167.07 ± 6.11 | 150.97 ± 6.14 |
cFCR (g feed/g BW) | 1.67 ± 0.08 | 1.85 ± 0.08 | 1.79 ± 0.08 |
FCR (g feed/g BW) | 1.72 ± 0.08 | 1.94 ± 0.08 | 1.83 ± 0.08 |
Days | 5.50 ± 0.87 | 6.50 ± 0.19 | 5.75 ± 0.49 |
Overall | |||
ADG (g) | 54.73 ± 1.84 | 61.28 ± 0.84a | 55.68 ± 0.85b |
ADFI (g) | 83.41 ± 2.82 | 91.83 ± 2.31a | 82.54 ± 2.38b |
cFCR (g feed/g BW) | 1.52 ± 0.01 | 1.50 ± 0.04 | 1.48 ± 0.04 |
FCR (g feed/g BW) | 1.54 ± 0.01 | 1.52 ± 0.04 | 1.49 ± 0.04 |
Age, day | 33.50 ± 0.87 | 34.50 ± 0.19 | 33.75 ± 0.49 |
a-cWithin a row, values without a common superscript differ, adjP<0.05.
Due to differences in methodologies, trials 1–2 were omitted from this data set as diets were changed at 14 and 28 d for all strains.
Because A was represented in a single trial, data for this strain are included for descriptive purposes only and were not subject to statistical analyses.
Mortality adjusted feed conversion ratio.
Mean number of days required to consume approximately 0.50 kg starter, 1.48 kg grower, and 1.00 kg finisher feed allotment.
Among the FAST strains, strain M had the heaviest BW and the highest ADG during the starter period (Table 5). They also had higher ADFI than strain G during the same period (Table 5) and higher ADFI than all other FAST strains during the grower period. During the finisher diet phase, strain M had a lighter BW than strain G and a lower ADG than strain F (Table 5). During the finisher period, strain F had the highest ADG. There were differences in ADFI among FAST strains, with strain M having the highest ADFI in the starter and grower phases, while strains F and I had the highest ADFI for the finisher period (Table 5). Strain M had worse FCR through the consumption of similar amounts of feed compared to the other FAST strains.
Table 5.
Variable | Strain |
|||
---|---|---|---|---|
F | G | I | M | |
Starter | ||||
BW (kg) | 0.42 ± 0.012b | 0.40 ± 0.011b | 0.41 ± 0.011b | 0.46 ± 0.016a |
ADG (g) | 24.75 ± 0.55a,b | 23.35 ± 0.489 | 23.82 ± 0.49b,c | 26.75 ± 0.77a |
ADFI (g) | 31.22 ± 0.71a,b | 29.95 ± 0.62b | 30.10 ± 0.62a,b | 33.31 ± 1.00a |
cFCR2 (g feed/g BW) | 1.26 ± 0.03 | 1.29 ± 0.02 | 1.27 ± 0.02 | 1.24 ± 0.04 |
FCR (g feed/g BW) | 1.27 ± 0.03 | 1.29 ± 0.02 | 1.27 ± 0.02 | 1.24 ± 0.04 |
Days3 | 15.00 ± 0.00 | 15.83 ± 0.21 | 15.58 ± 0.15 | 15.00 ± 0.00 |
Grower | ||||
BW (kg) | 1.37 ± 0.03 | 1.33 ± 0.03 | 1.34 ± 0.03 | 1.29 ± 0.04 |
ADG (g) | 54.87 ± 1.50 | 55.44 ± 1.27 | 54.19 ± 1.28 | 59.57 ± 2.18 |
ADFI (g) | 80.06 ± 4.61b | 83.64 ± 4.47b | 82.50 ± 4.47b | 99.28 ± 5.30a |
cFCR (g feed/g BW) | 1.48 ± 0.09 | 1.53 ± 0.09 | 1.54 ± 0.09 | 1.61 ± 0.10 |
FCR (g feed/g BW) | 1.47 ± 0.09 | 1.53 ± 0.09 | 1.54 ± 0.09 | 1.61 ± 0.10 |
Days | 17.00 ± 0.00 | 16.83 ± 0.21 | 16.83 ± 0.11 | 14.00 ± 0.00 |
Finisher | ||||
BW (kg) | 1.97 ± 0.04a,b | 2.02 ± 0.03a | 1.98 ± 0.03a,b | 1.83 ± 0.05b |
ADG (g) | 87.97 ± 3.94a | 78.58 ± 3.19a,b | 82.51 ± 3.22a,b | 65.37 ± 5.67b |
ADFI (g) | 157.22 ± 6.11a | 135.74 ± 4.95b | 151.46 ± 4.99a | 135.59 ± 8.73a,b |
cFCR (g feed/g BW) | 1.79 ± 0.08 | 1.75 ± 0.07 | 1.85 ± 0.07 | 2.06 ± 0.12 |
FCR (g feed/g BW) | 1.81 ± 0.08a,b | 1.75 ± 0.06b | 1.85 ± 0.06a,b | 2.11 ± 0.11a |
Days | 7.00 ± 0.00 | 8.75 ± 0.37 | 7.83 ± 0.24 | 9.00 ± 0.00 |
Overall | ||||
ADG (g) | 49.10 ± 0.84 | 48.24 ± 0.68 | 48.27 ± 0.69 | 47.46 ± 1.22 |
ADFI (g) | 75.50 ± 2.31a,b | 73.75 ± 2.16b | 75.75 ± 2.16a,b | 82.54 ± 2.96a |
cFCR (g feed/g BW) | 1.54 ± 0.04b | 1.53 ± 0.04b | 1.57 ± 0.04b | 1.73 ± 0.06a |
FCR (g feed/g BW) | 1.54 ± 0.04b | 1.54 ± 0.04b | 1.57 ± 0.04b | 1.73 ± 0.06a |
Age, day | 39.00 ± 0.00 | 41.42 ± 0.47 | 40.25 ± 0.33 | 38.00 ± 0.00 |
a-cWithin a row, values without a common superscript differ, adjP<0.05.
Due to differences in methodologies, trials 1–2 were omitted from this data set as diets were changed at 14 and 28 d for all strains.
Mortality adjusted feed conversion ratio.
Mean number of days to consume approximately 0.50 kg starter, 1.48 kg grower, and 1.00 kg finisher feed allotment.
Among the MOD strains, strain E was the heaviest and had the highest ADG through consumption of the starter and grower diets (Table 6). During the starter period, strain S had the lightest BW and lowest ADG and ADFI. During the grower period, strain H had a lower ADG than the other 3 strains. There was no difference among strains in BW at the end of the finisher allotment. However, there were differences between ADG and ADFI; strain H had higher ADG and ADFI than other strains, and strain D had higher ADFI than strains O and S. Through consumption of the 3 diets, strain E had a higher ADG than strains H and S and higher ADFI than strains O and S. Strain H had the worst cFCR (Table 6).
Table 6.
Variable | Strain |
|||
---|---|---|---|---|
E | H | O | S | |
Starter | ||||
BW (kg) | 0.44 ± 0.01a | 0.46 ± 0.02a | 0.40 ± 0.01b | 0.38 ± 0.01c |
ADG (g) | 25.32 ± 0.57a | 23.57 ± 0.77a,b | 23.16 ± 0.49b | 21.40 ± 0.49c |
ADFI (g) | 32.72 ± 0.74a | 31.92 ± 1.00a,b | 30.33 ± 0.62b | 28.74 ± 0.62c |
cFCR2 (g feed/g BW) | 1.30 ± 0.03 | 1.35 ± 0.04 | 1.31 ± 0.02 | 1.34 ± 0.02 |
FCR (g feed/g BW) | 1.30 ± 0.03 | 1.35 ± 0.04 | 1.31 ± 0.02 | 1.34 ± 0.02 |
Days3 | 15.00 ± 0.00 | 17.00 ± 0.00 | 15.83 ± 0.24 | 16.25 ± 0.28 |
Grower | ||||
BW (kg) | 1.42 ± 0.03a | 1.27 ± 0.04b | 1.32 ± 0.03b | 1.28 ± 0.03b |
ADG (g) | 60.31 ± 1.59a | 45.60 ± 2.18c | 55.60 ± 1.28b | 52.68 ± 1.28b |
ADFI (g) | 87.76 ± 4.67a | 75.66 ± 5.30b | 85.12 ± 4.46a,b | 82.92 ± 4.46a,b |
cFCR (g feed/g BW) | 1.46 ± 0.09 | 1.62 ± 0.10 | 1.54 ± 0.09 | 1.59 ± 0.09 |
FCR (g feed/g BW) | 1.47 ± 0.09 | 1.62 ± 0.10 | 1.54 ± 0.09 | 1.59 ± 0.09 |
Days | 17.00 ± 0.00 | 18.00 ± 0.00 | 16.75 ± 0.18 | 17.33 ± 0.14 |
Finisher | ||||
BW (kg) | 2.00 ± 0.04 | 1.86 ± 0.05 | 1.97 ± 0.03 | 1.91 ± 0.03 |
ADG (g) | 82.83 ± 4.17b | 103.13 ± 5.67a | 76.93 ± 3.24b | 72.86 ± 3.24b |
ADFI (g) | 158.81 ± 6.42b | 206.29 ± 8.73a | 137.39 ± 5.01c | 132.06 ± 5.01c |
cFCR (g feed/g BW) | 1.92 ± 0.09 | 2.00 ± 0.12 | 1.81 ± 0.07 | 1.82 ± 0.07 |
FCR (g feed/g BW) | 1.94 ± 0.08 | 2.01 ± 0.11 | 1.80 ± 0.06 | 1.82 ± 0.06 |
Days | 7.00 ± 0.00 | 6.00 ± 0.00 | 8.42 ± 0.15 | 8.58 ± 0.15 |
Overall | ||||
ADG (g) | 50.40 ± 0.69a | 44.18 ± 1.22b | 47.67 ± 0.69a,b | 45.00 ± 0.69b |
ADFI (g) | 79.15 ± 2.37a | 77.51 ± 2.96a,b | 74.20 ± 2.15b | 71.60 ± 2.15b |
cFCR (g feed/g BW) | 1.57 ± 0.04b | 1.74 ± 0.06a | 1.56 ± 0.04b | 1.59 ± 0.04b |
FCR (g feed/g BW) | 1.58 ± 0.04a,b | 1.74 ± 0.06a | 1.56 ± 0.04b | 1.59 ± 0.034b |
Age, day | 39.00 ± 0.00 | 44.00 ± 0.00 | 41.00 ± 0.33 | 42.17 ± 0.41 |
a-cWithin a row, values without a common superscript differ, adjP <0.05.
Due to differences in methodologies, trials 1–2 were omitted from this data set as diets were changed at 14 and 28 d for all strains.
Mortality adjusted feed conversion ratio.
Mean number of days to consume approximately 0.50 kg Starter, 1.48 kg Grower, and 1.00 kg Finisher feed allotment.
In the SLOW category, there were differences for growth and efficiency variables through consumption of the same feed allotment (Table 7). During the starter and grower periods, strains D and J generally had higher BW, ADG, and ADFI than strains K and N. By the finisher period, strain J was heavier than strains D and N. Strain D had the worst feed efficiency during both the starter and finisher periods.
Table 7.
Variable | Strain |
|||
---|---|---|---|---|
D | J | K | N | |
Starter | ||||
BW (kg) | 0.41 ± 0.02a | 0.40 ± 0.01a | 0.37 ± 0.01b | 0.37 ± 0.01b |
ADG (g) | 20.58 ± 0.77a,b | 22.20 ± 0.50a | 20.08 ± 0.19b | 20.22 ± 0.50b |
ADFI (g) | 31.92 ± 1.00a | 28.83 ± 0.63b | 27.32 ± 0.62b | 27.69 ± 0.63b |
cFCR2 (g feed/g BW) | 1.55 ± 0.04a | 1.30 ± 0.02c | 1.36 ± 0.02b,c | 1.37 ± 0.02b |
FCR (g feed/g BW) | 1.55 ± 0.04a | 1.30 ± 0.02c | 1.36 ± 0.02b,c | 1.39 ± 0.02b |
Days3 | 17.00 ± 0.00 | 16.33 ± 0.14 | 17.00 ± 0.39 | 16.33 ± 0.14 |
Grower | ||||
BW (kg) | 1.22 ± 0.04a,b | 1.27 ± 0.03a | 1.25 ± 0.03a,b | 1.19 ± 0.03b |
ADG (g) | 54.73 ± 2.18a | 51.64 ± 1.30a | 46.86 ± 1.28b | 48.11 ± 1.30b |
ADFI (g) | 89.20 ± 5.30a | 85.24 ± 4.49a | 76.66 ± 4.46b | 81.02 ± 4.49a,b |
cFCR (g feed/g BW) | 1.58 ± 0.10 | 1.67 ± 0.09 | 1.63 ± 0.09 | 1.71 ± 0.09 |
FCR (g feed/g BW) | 1.58 ± 0.10 | 1.67 ± 0.09 | 1.63 ± 0.09 | 1.71 ± 0.09 |
Days | 15.00 ± 0.00 | 16.92 ± 0.42 | 19.25 ± 0.35 | 17.17 ± 0.47 |
Finisher | ||||
BW (kg) | 1.69 ± 0.05b | 1.85 ± 0.03a | 1.83 ± 0.03a,b | 1.71 ± 0.03b |
ADG (g) | 55.18 ± 5.67 | 59.04 ± 3.25 | 62.38 ± 3.24 | 53.85 ± 3.25 |
ADFI (g) | 140.15 ± 8.73a | 117.16 ± 5.02a,b | 121.77 ± 5.01a | 113.15 ± 5.02b |
cFCR (g feed/g BW) | 2.52 ± 0.12a | 1.97 ± 0.07b | 2.02 ± 0.07b | 2.09 ± 0.07b |
FCR (g feed/g BW) | 2.53 ± 0.11a | 1.95 ± 0.06b | 1.95 ± 0.06b | 2.10 ± 0.06b |
Days | 9.00 ± 0.00 | 9.75 ± 0.51 | 9.17 ± 0.11 | 9.67 ± 0.51 |
Overall | ||||
ADG (g) | 40.13 ± 1.22a,b | 42.00 ± 0.70a | 40.14 ± 0.69a,b | 38.66 ± 0.70b |
ADFI (g) | 77.37 ± 2.96a | 70.46 ± 2.18a,b | 66.75 ± 2.15c | 67.55 ± 2.18b,c |
cFCR (g feed/g BW) | 1.91 ± 0.07a | 1.68 ± 0.04b | 1.65 ± 0.04b | 1.76 ± 0.04a |
FCR (g feed/g BW) | 1.91 ± 0.06a | 1.69 ± 0.04c | 1.66 ± 0.04c | 1.76 ± 0.04b |
Age, day | 41.00 ± 0.00 | 43.00 ± 0.28 | 45.42 ± 0.38 | 43.17 ± 0.32 |
a-cWithin a row, values without a common superscript differ, adjP<0.05.
Due to differences in methodologies, trials 1–2 were omitted from this data set as diets were changed at 14 and 28 d for all strains.
Mortality adjusted feed conversion ratio.
Mean number of days to consume approximately 0.50 kg Starter, 1.48 kg Grower, and 1.00 kg Finisher feed allotment.
Production and Efficiency to TW1 and TW2 by Category
Through processing, BW differed by category (F3,106 = 53.63; P < 0.0001) and target weight (F1,106 = 382.47; P < 0.0001), and there was a category by target weight interaction (F3,106 = 14.13; P < 0.0001). At TW1, FAST and MOD had higher BW than SLOW and CONV (Table 8). At TW2, FAST was heavier than MOD and SLOW, and both CONV and MOD were heavier than SLOW (Table 8). There was no effect of strain within category (F10,106 = 1.58; P = 0.12) nor a target weight by strain within category interaction (F10,106 = 1.08; P = 0.38).
Table 8.
BW (kg) |
ADG (g) |
ADFI (g) |
cFCR (g feed/g BW) |
||||||
---|---|---|---|---|---|---|---|---|---|
Cat. | Strain | TW1 | TW2 | TW1 | TW2 | TW1 | TW2 | TW1 | TW2 |
CONV | 1.838 ± 0.067b | 3.202 ± 0.067a,b | 55.86 ± 1.25a | 68.92 ± 1.25a | 87.19 ± 2.08a | 102.90 ± 2.50a | 1.49 ± 0.04a | 1.54 ± 0.06a | |
FAST | 2.367 ± 0.057a | 3.433 ± 0.057a | 51.38 ± 1.00b | 56.03 ± 1.00b | 83.78 ± 2.20b | 97.54 ± 2.20a,b | 1.70 ± 0.05b,c | 1.76 ± 0.05b | |
MOD | 2.340 ± 0.055a | 3.170 ± 0.056b | 50.27 ± 0.95b | 51.79 ± 0.99c | 80.39 ± 2.18b | 96.36 ± 2.18b | 1.62 ± 0.05b | 1.89 ± 0.05c | |
SLOW | 1.938 ± 0.055b | 2.813 ± 0.055c | 41.85 ± 0.97c | 46.13 ± 0.95d | 74.34 ± 2.39c | 89.93 ± 2.17c | 1.82 ± 0.06c | 1.97 ± 0.05c | |
CONV | A1 | 1.675 ± 0.018 | 3.068 ± 0.078 | 50.76 ± 0.55 | 65.28 ± 1.68 | 83.41 ± 2.82 | 101.37 ± 2.49 | 1.52 ± 0.01 | 1.58 ± 0.00 |
B | 1.789 ± 0.082 | 3.316 ± 0.082 | 55.15 ± 1.74 | 70.48 ± 1.74 | 91.83 ± 2.31 | 107.80 ± 2.99 | 1.50 ± 0.04 | 1.57 ± 0.08 | |
C | 1.872 ± 0.082 | 3.110 ± 0.082 | 56.58 ± 1.74 | 67.35 ± 1.74 | 82.54 ± 2.38 | 98.02 ± 3.17 | 1.48 ± 0.04 | 1.50 ± 0.09 | |
FAST | F | 2.483 ± 0.081 | 3.446 ± 0.081 | 53.75 ± 1.73 | 56.08 ± 1.73 | 84.26 ± 2.99 | 99.16 ± 2.99 | 1.60 ± 0.08 | 1.80 ± 0.08 |
G | 2.290 ± 0.082 | 3.343 ± 0.083 | 48.77 ± 1.74 | 54.76 ± 1.74 | 81.72 ± 3.00 | 97.14 ± 3.00 | 1.74 ± 0.08 | 1.77 ± 0.08 | |
I | 2.269 ± 0.082 | 3.424 ± 0.082 | 48.27 ± 1.74 | 56.08 ± 1.74 | 84.44 ± 3.03 | 95.05 ± 3.03 | 1.82 ± 0.08 | 1.69 ± 0.08 | |
M | 2.533 ± 0.100 | 3.489 ± 0.100 | 54.73 ± 2.12 | 57.18 ± 2.13 | 84.68 ± 3.55 | 98.81 ± 3.55 | 1.64 ± 0.10 | 1.78 ± 0.10 | |
MOD | E | 2.554 ± 0.085 | 3.157 ± 0.085 | 54.72 ± 1.80 | 51.69 ± 1.80 | 88.35 ± 3.07a | 98.77 ± 3.07a,b | 1.66 ± 0.08 | 1.97 ± 0.08 |
H | 2.248 ± 0.076 | 3.216 ± 0.090 | 49.16 ± 1.62 | 52.56 ± 1.91 | 78.10 ± 3.11a,b | 87.32 ± 3.28b | 1.65 ± 0.08 | 1.71 ± 0.09 | |
O | 2.331 ± 0.083 | 3.110 ± 0.083 | 49.59 ± 1.76 | 51.01 ± 1.76 | 80.76 ± 3.09a,b | 102.1 ± 3.09a | 1.64 ± 0.08 | 2.02 ± 0.08 | |
S | 2.239 ± 0.083 | 3.165 ± 0.083 | 47.62 ± 1.76 | 51.91 ± 1.76 | 74.36 ± 3.27b | 97.28 ± 3.09a,b | 1.55 ± 0.09 | 1.86 ± 0.08 | |
SLOW | D | 2.013 ± 0.083 | 2.873 ± 0.076 | 43.94 ± 1.75 | 46.70 ± 1.62 | 75.68 ± 3.11 | 91.88 ± 3.11 | 1.80 ± 0.08 | 2.01 ± 0.08 |
J | 2.000 ± 0.082 | 2.943 ± 0.082 | 42.64 ± 1.74 | 48.20 ± 1.74 | 77.73 ± 3.45 | 90.63 ± 3.00 | 1.80 ± 0.10 | 1.91 ± 0.08 | |
K | 1.933 ± 0.083 | 2.782 ± 0.083 | 41.11 ± 1.76 | 45.63 ± 1.76 | 70.36 ± 4.62 | 88.54 ± 3.09 | 1.83 ± 0.14 | 1.92 ± 0.08 | |
N | 1.862 ± 0.082 | 2.688 ± 0.082 | 39.70 ± 1.74 | 44.00 ± 1.74 | 73.58 ± 3.45 | 88.68 ± 3.00 | 1.87 ± 0.10 | 2.04 ± 0.08 | |
T1 | - | 1.271 ± 0.138 | - | 20.84 ± 0.23 | - | - | - | - |
a,bWithin a column and section, values without a common superscript differ, adjP<0.05.
Because of their small sample size, strains A and T were not included in their category means nor were they included in statistical analyses. Values for these strains are raw means ± standard errors. Data were not collected for strain T at Target Weight 1 due to its low body weight. Feed intake data were unavailable.
For ADG, there was a significant effect of category (F3,106 = 103.44; P < 0.0001) and a category by target weight interaction (F4,106 = 11.80; P < 0.0001; Table 8). At TW1, CONV had the highest ADG and SLOW had the lowest ADG (Table 8). FAST and MOD were intermediate and did not differ from each other (Table 8). At TW2, CONV had the highest ADG, followed by FAST, MOD, and SLOW. Each category differed from the others in ADG to TW2 (Table 8). While there was a tendency for an effect of strain within category (F10,106 = 1.72; P = 0.0849), there were no differences among individual strains within categories for ADG to TW1 or TW2 (adjP>0.34). There was no interaction between target weight and strain within category (F10,106 = 1.08; P = 0.38).
Production and Efficiency to TW1 and TW2 by Strains Within Category
There was no difference within CONV or FAST categories for production and efficiency through either of the 2 target weights (Table 8). For the MOD strains, strain E had higher ADFI through TW1 compared to strain S (Table 4). At TW2, strain O had higher ADFI than strain H. There were no differences among MOD strains in FCR at TW1 or TW2 (Table 8). Through TW1 and TW2, there were no differences among SLOW strains in BW, ADG, ADFI, or FCR (Table 8).
Mortality
Throughout the eight trials, there were no disease outbreaks, and no birds needed treatment with antibiotics or other medications. Overall, mortality rate was 2.52% over the eight trials. There was no relationship between BW category and overall mortality (Table 9). However, the odds of birds having been culled vs. found dead were associated with category. SLOW had greater odds of having fewer culls than all other categories (CONV to SLOW: OR 0.179, CI: 0.041–0.779; FAST to SLOW: OR 0.272, CI: 0.080–0.929; MOD to SLOW: OR 0.134, CI: 0.039–0.466). SLOW had more than twice the odds of having more birds found dead than MOD (OR 2.226, CI: 1.003–4.943).
Table 9.
Category | Strain | Culls, % | Found dead, % | Total mortality, % |
---|---|---|---|---|
CONV | 0.85 ± 0.27 | 1.99 ± 0.55 | 2.84 ± 0.63 | |
FAST | 0.88 ± 0.21 | 1.65 ± 0.27 | 2.53 ± 0.39 | |
MOD | 0.80 ± 0.17 | 1.47 ± 0.31 | 2.27 ± 0.35 | |
SLOW | 0.43 ± 0.19 | 2.22 ± 0.33 | 2.65 ± 0.37 | |
CONV | A1 | 0.57 ± 0.57 | 2.27 ± 0.93 | 2.84 ± 1.09 |
B | 1.33 ± 0.44 | 2.46 ± 0.95 | 3.79 ± 1.10 | |
C | 0.38 ± 0.26 | 1.52 ± 0.58 | 1.89 ± 0.55 | |
FAST | F | 1.33 ± 0.52 | 1.70 ± 0.49 | 3.03 ± 0.64 |
G | 0.76 ± 0.43 | 1.14 ± 0.52 | 1.89 ± 0.88 | |
I | 0.38 ± 0.26 | 1.70 ± 0.63 | 2.08 ± 0.81 | |
M | 1.14 ± 0.43 | 2.27 ± 0.43 | 3.41 ± 0.74 | |
MOD | E | 1.33 ± 0.44 | 2.27 ± 0.88 | 3.60 ± 0.90 |
H | 0.76 ± 0.32 | 0.95 ± 0.44 | 1.70 ± 0.41 | |
O | 0.76 ± 0.32 | 1.14 ± 0.59 | 1.89 ± 0.78 | |
S | 0.38 ± 0.26 | 1.52 ± 0.43 | 1.89 ± 0.47 | |
SLOW | D | 0.19 ± 0.19 | 2.08 ± 0.71 | 2.27 ± 0.69 |
J | 0.19 ± 0.19 | 2.27 ± 0.56 | 2.46 ± 0.65 | |
K | 0.76 ± 0.43 | 0.76 ± 0.32 | 1.52 ± 0.43 | |
N | 0.57 ± 0.57 | 3.79 ± 0.70 | 4.36 ± 0.95 | |
T1 | 2.08 ± 2.08 | 1.04 ± 1.04 | 3.13 ± 3.13 |
Strains A and T were represented in few pens (4) and were therefore not included in statistical analyses for most variables. The data are included for descriptive purposes only.
There were no differences between strains B and C within the CONV category in number of birds culled, number found dead, or total mortality. Within the FAST strains, there were significant differences between strains in the number of birds needing to be culled and overall mortality (Table 9). Strain F had more birds needing to be culled than strain I (t118 = -2.05; P = 0.043), had greater overall mortality than strain G (t117 = −2.14; P = 0.0345), and had a tendency for greater mortality than strain I (t117 = −1.72; P = 0.087). Strain M needed to have more birds culled than strain I (t118 = −2.57; P = 0.0115) and tended to have more birds needing to be culled than strain G (t118 = −1.96; P = 0.052). Strain M also had higher total mortality than strain G (t117 = 2.22; P = 0.028) and tended to have higher mortality than strain I (t117 = 1.86; P = 0.066).
Within the MOD strains, E had higher total mortality than strain O (t117 = −2.05; P = 0.042) and tended to have higher total mortality than strain H (t117 = −1.70; P = 0.091). Within the SLOW strains, strain K had more birds needing to be culled than strain J (t118 = 2.15; P = 0.034) and strain D (t118 = −2.09; P = 0.039). Strain N had more birds found dead than strain K (t117 = 3.21; P = 0.0017) and tended to have been found dead more than strain D (t117 = −1.90; P = 0.06). Strain J tended to have more birds found dead than strain K (t117 = −1.96; P = 0.053). Strain N tended to have higher total mortality than strain K (t117 = 1.96; P = 0.052).
Sudden death syndrome and ascites were rarely observed, and few birds were culled due to lameness. Three of the mortalities were due to sudden death syndrome, whereas 24/54 of the euthanized birds (out of 7,528 birds studied) were euthanized for lameness. Two strains, B (a CONV strain) and F (a FAST strain) accounted for 46% of the culling due to lameness.
Discussion
There has been increasing interest in the use of slower-growing broiler chickens because of their purported improved welfare. Indeed, numerous studies have compared slower-growing strains to conventional strains and reported better welfare outcomes for slower-growing strains (Bokkers and Koene, 2003; Nielsen et al., 2003; Fanatico et al., 2008; Dixon, 2020; Rayner et al., 2020). Most studies comparing strains have studied them in outdoor, range conditions or compared few strains with disparate growth rates. Our comprehensive study was designed to benchmark welfare and production phenotypes for 16 strains of broiler chickens with a range of growth rates and without outdoor access. Before we could compare the welfare of different strains and determine the relationship between welfare indicators and growth rates, we needed to determine their growth rates and feed efficiencies. The objective of this manuscript was to compare the production, efficiency, and mortality of 16 strains of broiler chickens reared in the same environment, under the same management, and fed the same diet.
The strains provided to us from commercial breeding companies represented a range of ADGs from 44 to 68 g/day. We also were provided with one mixed-breed dual-purpose strain with an estimated growth rate of 17.5 g/day. While the strains differed in other ways that may have enabled division, we chose to categorize them based on their growth rates post-hoc to facilitate statistical analyses and generalizations to other strains not studied here. Within categories, strains differed in their growth trajectories and feed efficiencies, which may have had implications on their welfare. We compared categories of strains and strains within categories at 2 “target weights”—one lighter (estimated at 2.1 kg) and one heavier (estimated at 3.2 kg). We also compared categories and strains at the same age.
The CONV category grew faster, consumed more feed, and were more feed efficient than any of the slower-growing categories. This was expected as CONV strains of broiler chickens have been selected for fast growth, high feed intake, and high feed efficiency over generations (Tallentire et al., 2016). Differences between categories were apparent within the first 2 wk of production and became more pronounced as the birds aged. After consumption of similar starter, grower, and finisher feed allotments, CONV strains were heavier despite being 6 or more days younger than strains in the other categories. At 48 d of age (when CONV was at TW2 and the others were at TW1), the CONV category was 835 to 1,264 g heavier than other categories. By the heavier target weight, differences in BWs and feed intake resulted in a 22 to 43-point difference in FCRs.
Within categories, there were some growth and efficiency differences between strains during early rearing. Differences in growth trajectories to the same final BW influence physiological and metabolic development (Zubair and Leeson, 1996), which may have impacts on welfare outcomes. Within the CONV category, strains B and C differed in their growth rates through consumption of similar feed allotments. However, differences between the 2 disappeared by the first target weight. Within the FAST category, strains differed in their early growth and feed intake. Strain M was heavier and had higher early feed intake than other FAST strains, but was lighter and had the worst feed efficiency through consumption of similar feed allotments. As with the CONV category, there were no differences in growth and efficiency within the FAST category by target weight 1. Among the MOD strains, strain E had the highest early ADG and ADFI, whereas strain H had the worst early FCR. The higher early ADG for strain E compared to other MOD strains may have affected its mortality rate, as Robinson et al. (1992) suggested that early rapid growth contributes to increased metabolic diseases and mortality. Strain H had lower levels of inactivity than other MOD strains through 5 wk of age (unpublished data), which would have influenced feed efficiency. There were differences in ADFI through the heavier target weight, but this did not significantly affect FCRs. Within the SLOW category through consumption of equal amounts of feed, strain D had the highest feed intake and worst FCR; these differences were no longer apparent at the first processing age (48 d).
Mortality within our study was lower than that seen in commercial production systems (National Chicken Council, 2020) and lower than has been reported in some studies comparing fast and slow-growing strains (Yalcin et al., 2001; Dixon, 2020; Weimer et al., 2020), but not all (Fanatico et al., 2005). Our flocks were fed antibiotic-free diets but did not experience any disease outbreaks. This may be due to incubation and hatch conditions. We received fertile hatching eggs from our partners and incubated and hatched the eggs at our research facility. This enabled us to vaccinate and place chicks within 8 to 10 h, which may have led to improved outcomes compared to other studies (Dixon, 2020; Weimer et al., 2020). There were, however, differences in the rates of culling and being found dead between the slowest-growing category and other categories. We observed more early deaths (within the first 10 d) in some of the slowest-growing strains, which may indicate yolk sac infections, but the sample size was not large enough to permit statistical analyses. Early mortality may relate to parent stock variables or hatch conditions (McNaughton et al., 1978; Yassin et al., 2009). All strains were incubated and hatched under the same conditions, to eliminate these factors as confounds. However, we were not able to control for parent stock source, age, or vaccination protocols given the scarcity of most of these strains in North America. In commercial conditions, incubation and hatch conditions, nutrition, and environment are tailored to meet the needs of each genetic strain, taking into account parent stock variables. Future research should aim to optimize conditions for each strain.
Target weights were chosen to represent typical processing weights for the North American market, and ages for these weights were chosen based on the average days to reach 2.1 and 3.2 kg from breeder estimations. As expected, the CONV strains grew faster, ate more, and grew more efficiently than all the remaining strains. Due to project logistics, however, the CONV strains were lighter than the FAST and MOD strains at Target Weight 1. This was due to both the early processing age for CONV (34 d) and the (same) lower density diet used for all strains. We chose to feed all the strains the same three-phase diet, one that had been formulated to meet the needs of a moderate slower-growing strain. In one of our pilot studies, we determined that this diet influenced the growth rates of conventional strains (Nascimento dos Santos et al., 2018). However, as we could not formulate individual diets for each strain, we chose to accept this limitation. Similarly, we housed all strains in the same experimental room, with the same room temperature, lighting, and management, which may not have been ideal for some, but permitted us to remove these factors as confounds.
When incubated, hatched, housed, managed, and fed the same diet, the 16 strains of broiler chickens differed in growth and efficiency, but their growth rates did not influence mortality rates. We categorized strains based on growth rates to a heavy (3.2 kg) weight to enable generalizations based on growth and determine if factors other than growth rates influence the welfare of broiler strains. Determining and categorizing the growth rates of the strains of broiler chickens in this study was the first step in benchmarking their welfare and productivity. Additional manuscripts will discuss the welfare and productivity of these strains and whether growth rate or other factors influence welfare outcomes for broiler chickens.
Acknowledgements
This work was supported by Global Animal Partnership, Canada First Research Excellence Fund, and the in-kind contributions from Ontario Agri-Food Innovation Alliance, the anonymous breeding companies and Protekta, Inc. On the processing side, Farm Fresh Poultry, ENS Poultry, and Pullets Plus were helpful in ensuring this project ran smoothly. We are grateful for the technical assistance of Cheryl Campbell, Judy Kendall, Sam Leo, Danielle Renwick, Linda Caston, Brian McDougal, and Xiaohui (Lucy) Du. This project could not have happened without the diligent help of our student assistants (in alphabetical order by last name): Alan Abdulkadar, Sophia Ahmad, Madeleine Browne, Veronica Cheng, Margaret Daoust, Melanie Felker, King (Stella) Hung, Breanna Jackson, Anna Laszczuk, Narissa Leslie, Siobhan Mellors, Nyasha Mombeshora, Nicole Norena, Quinn Rausch, Erin Ross, Victoria Shouldice, Tara Tanasijevic, Kayley Teal, Priyanka Thavaraja, Megan Weckwerth, Leah Wellard, and Jessica Woods. Finally, the assistance of the Arkell Poultry Research Station staff was pivotal to this project's success. We thank Dave Vandenberg, Innes Wilson, Nancy Wedel, Heidi Naumann, Vern Wideman, Rick Hoiting, and Danielle Watson for all their help.
Footnotes
Supplementary data associated with this article can be found in the online version at https://doi.org/10.1016/j.psj.2020.12.052.
Disclosures
All authors approved the manuscript for submission to Poultry Science and confirm that this manuscript has not been published or/and is not under consideration by another journal.
Global Animal Partnership and the Canada First Research Excellence Fund financially supported the research associated with this manuscript. We also received in-kind support from anonymous breeding companies and the Ontario Agri-Food Innovation Alliance. We declare that there are no conflicts of interest with regard to publishing this manuscript.
Supplementary data
References
- AAFC Statistics and market information, 036. Poultry production Report by Month/year; eviscerated weight. 2019. http://aimis-simia.agr.gc.ca/rp/index-eng.cfm?action=pR&r=6&pdctc=
- Bassler A.W., Arnould C., Butterworth A., Colin L., De Jong I.C., Ferrante V., Ferrari P., Haslam S., Wemelsfelder F., Blokhuis H.J. Potential risk factors associated with contact dermatitis, lameness, negative emotional state, and fear of humans in broiler chicken flocks. Poult. Sci. 2013;92:2811–2826. doi: 10.3382/ps.2013-03208. [DOI] [PubMed] [Google Scholar]
- Beter Leven Chicken standard, 1 star “VLEESKUIKENS - 1 STER”. 2016. https://beterleven.dierenbescherming.nl/app/uploads/sites/2/2020/02/Vleeskuikens-1-ster-Versie-5.1.-ZW-d.d.-01.09.2016.pdf
- Bokkers E.A., Koene P. Behaviour of fast-and slow growing broilers to 12 weeks of age and the physical consequences. Appl. Anim. Behav. Sci. 2003;81:59–72. [Google Scholar]
- Bokkers E.A., Koene P. Motivation and ability to walk for a food reward in fast-and slow-growing broilers to 12 weeks of age. Behav. Proc. 2004;67:121–130. doi: 10.1016/j.beproc.2004.03.015. [DOI] [PubMed] [Google Scholar]
- Bokkers E.A., Zimmerman P.H., Rodenburg T.B., Koene P. Walking behaviour of heavy and light broilers in an operant runway test with varying durations of feed deprivation and feed access. Appl. Anim. Behav. Sci. 2007;108:129–142. [Google Scholar]
- Clune S., Crossin E., Verghese K. Systematic review of greenhouse gas emissions for different fresh food categories. J. Clean. Prod. 2017;140:766–783. [Google Scholar]
- Dawkins M.S., Layton R. Breeding for better welfare: genetic goals for broiler chickens and their parents. Anim. Welf. 2012;21:147–155. [Google Scholar]
- Dixon L.M. Slow and steady wins the race: the behaviour and welfare of commercial faster growing broiler breeds compared to a commercial slower growing breed. PLoS One. 2020;15(4):e0231006. doi: 10.1371/journal.pone.0231006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fanatico A.C., Cavitt L.C., Pillai P.B., Emmert J.L., Owens C.M. Evaluation of slower-growing broiler genotypes grown with and without outdoor access: meat quality. Poult. Sci. 2005;84:1785–1790. doi: 10.1093/ps/84.11.1785. [DOI] [PubMed] [Google Scholar]
- Fanatico A.C., Pillai P.B., Hester P.Y., Falcone C., Mench J.A., Owens C.M., M C., Emmert J.L. Performance, livability, and carcass yield of slow-and fast-growing chicken genotypes fed low-nutrient or standard diets and raised indoors or with outdoor access. Poult. Sci. 2008;87:1012–1021. doi: 10.3382/ps.2006-00424. [DOI] [PubMed] [Google Scholar]
- Federal Office for Agriculture and Food, Working Group of the Federal States on Organic Farming Auslegung der Rechtsvorschriften für den Ökolandbau. 2009. https://www.oekolandbau.de/service/rechtsgrundlagen/auslegungen-der-eu-rechtsvorschriften/protokoll-details/?tx_oekolbloek_loekdetail%5BsessionUid%5D=56&tx_oekolbloek_loekdetail%5BagendaItemUid%5D=340&tx_oekolbloek_loekdetail%5Baction%5D=detail&tx_oekolbloek_loekdetail%5Bcontroller%5D=Loek&cHash=48be4c5187e463ae78488b85c0847d66
- Hartcher K.M., Lum H.K. Genetic selection of broilers and welfare consequences: a review. World’s Poult. Sci. J. 2020;76:154–167. [Google Scholar]
- Havenstein G.B., Ferket P.R., Qureshi M.A. Growth, livability, and feed conversion of 1957 versus 2001 broilers when fed representative 1957 and 2001 broiler diets. Poult. Sci. 2003;82:1500–1508. doi: 10.1093/ps/82.10.1500. [DOI] [PubMed] [Google Scholar]
- Kapell D.N.R.G., Hill W.G., Neeteson A.M., McAdam J., Koerhuis A.N.M., Avendano S. Twenty-five years of selection for improved leg health in purebred broiler lines and underlying genetic parameters. Poult. Sci. 2012;91:3032–3043. doi: 10.3382/ps.2012-02578. [DOI] [PubMed] [Google Scholar]
- Kapell D.N.R.G., Hill W.G., Neeteson A.M., McAdam J., Koerhuis A.N.M., Avendano S. Genetic parameters of foot-pad dermatitis and body weight in purebred broiler lines in 2 contrasting environments. Poult. Sci. 2012;91:565–574. doi: 10.3382/ps.2011-01934. [DOI] [PubMed] [Google Scholar]
- Kittelsen K.E., David B., Moe R.O., Poulsen H.D., Young J.F., Granquist E.G. Associations among gait score, production data, abattoir registrations, and postmortem tibia measurements in broiler chickens. Poult. Sci. 2017;96:1033–1040. doi: 10.3382/ps/pew433. [DOI] [PubMed] [Google Scholar]
- McGeown D., Danbury T.C., Waterman-Pearson A.E., Kestin S.C. Effect of carprofen on lameness in broiler chickens. Vet. Rec. 1999;144:668–671. doi: 10.1136/vr.144.24.668. [DOI] [PubMed] [Google Scholar]
- McNaughton J.L., Deaton J.W., Reece F.N., Haynes R.L. Effect of age of parents and hatching egg weight on broiler chick mortality. Poult. Sci. 1978;57:38–44. [Google Scholar]
- Mohammadigheisar M., Shouldice V.L., Torrey S., Widowski T., Kiarie E.G. Research Note: Comparative gastrointestinal, tibia, and plasma attributes in 48-day-old fast-and slow-growing broiler chicken strains. Poult. Sci. 2020;99:3086–3091. doi: 10.1016/j.psj.2020.01.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nääs I.A., Paz I.A., Baracho M.S., Menezes A.G., Bueno L.G.F., Almeida I.C.L., Moura D.J. Impact of lameness on broiler well-being. J. Appl. Poult. Res. 2009;18:432–439. [Google Scholar]
- Nascimento dos Santos M., Widowski T., Kiarie E., Mohammadigheisar M., Mandell I., Torrey S. The impact of low-nutrient and conventional diets on lameness, tibial dimensions and tibial ash concentrations for two fast-growing genotypes of broiler chickens. Poult. Sci. 2018;97(e-suppl 1):166. [Google Scholar]
- National Chicken Council US broiler performance, 1925 to present. 2020. https://www.nationalchickencouncil.org/about-the-industry/statistics/u-s-broiler-performance/
- National Farm Animal Care Council The code of Practice for the Care and Handling of chickens, turkeys and breeders. 2016. https://www.nfacc.ca/pdfs/codes/poultry_code_EN.pdf
- Nielsen B.L., Thomsen M.G., Sørensen P., Young J.F. Feed and strain effects on the use of outdoor areas by broilers. Br. Poult. Sci. 2003;44:161–169. doi: 10.1080/0007166031000088389. [DOI] [PubMed] [Google Scholar]
- OECD/FAO . FAO, Rome/OECD Publishing; Paris, France: 2020. OECD-FAO Agricultural Outlook 2020-2029. [Google Scholar]
- Opengart K., Bilgili S.F., Warren G.L., Baker K.T., Moore J.D., Dougherty S. Incidence, severity, and relationship of broiler footpad lesions and gait scores of market-age broilers raised under commercial conditions in the southeastern United States. J. Appl. Poult. Res. 2018;27:424–432. [Google Scholar]
- Rayner A.C., Newberry R.C., Vas J., Mullan S. Slow-growing broilers are healthier and express more behavioural indicators of positive welfare. Sci. Rep. 2020;10:1–14. doi: 10.1038/s41598-020-72198-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rekaya R., Sapp R.L., Wing T., Aggrey S.E. Genetic evaluation for growth, body composition, feed efficiency, and leg soundness. Poult. Sci. 2013;92:923–929. doi: 10.3382/ps.2012-02649. [DOI] [PubMed] [Google Scholar]
- Robinson F.E., Classen H.L., Hanson J.A., Onderka D.K. Growth performance, feed efficiency and the incidence of skeletal and metabolic disease in full-fed and feed restricted broiler and roaster chickens. J. Appl. Poult. Res. 1992;1:33–41. [Google Scholar]
- Tallentire C.W., Leinonen I., Kyriazakis I. Breeding for efficiency in the broiler chicken: a review. Agron. Sustain. Dev. 2016;36:66. [Google Scholar]
- Volaille Label Rouge A broad range of Label Rouge poultry. Chicken. 2020. http://www.volaillelabelrouge.com/en/chicken/
- Weimer S.L., Mauromoustakos A., Karcher D.M., Erasmus M.A. Differences in performance, body conformation, and welfare of conventional and slow-growing broiler chickens raised at 2 stocking densities. Poult. Sci. 2020;99:4398–4407. doi: 10.1016/j.psj.2020.06.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wilhelmsson S., Yngvesson J., Jönsson L., Gunnarsson S., Wallenbeck A. Welfare Quality® assessment of a fast-growing and a slower-growing broiler hybrid, reared until 10 weeks and fed a low-protein, high-protein or mussel-meal diet. Livestock Sci. 2019;219:71–79. [Google Scholar]
- Yalcin S., Özkan S., Türkmut L., Siegel P.B. Responses to heat stress in commercial and local broiler stocks. 1. Performance traits. Br. Poult. Sci. 2001;42:149–152. doi: 10.1080/00071660120048375. [DOI] [PubMed] [Google Scholar]
- Yassin H., Velthuis A.G., Boerjan M., van Riel J. Field study on broilers’ first-week mortality. Poult. Sci. 2009;88:798–804. doi: 10.3382/ps.2008-00292. [DOI] [PubMed] [Google Scholar]
- Zubair A.K., Leeson S. Compensatory growth in the broiler chicken: a review. World's Poult. Sci. J. 1996;52:189–201. doi: 10.1093/ps/76.7.992. [DOI] [PubMed] [Google Scholar]
- Zuidhof M.J., Schneider B.L., Carney V.L., Korver D.R., Robinson F.E. Growth, efficiency, and yield of commercial broilers from 1957, 1978, and 2005. Poult. Sci. 2014;93:2970–2982. doi: 10.3382/ps.2014-04291. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.