INTRODUCTION
Birds have a higher body temperature compared to mammals, which makes them more vulnerable to cold environments [
1,
2]. Constantly increasing requirements for animal welfare and for the production of high quality animal food have resulted in free-range chicken production systems becoming more widespread [
3]. However, modern high performance commercial strains, which have been selected under specific conditions, do not adapt well to realistic environments [
4,
5]. In natural environment, cold stress is one of the prominent challenges, especially in cold regions. Previous studies have shown that cold stress affects the development, health and welfare of chickens [
6–
8]. Frequently, climate events, like extreme low temperature weather conditions, always cause great economic losses [
6,
9]. Thus, there is a need to develop cold tolerant chickens for regions that experience extreme cold.
The Bashang Long-tail chicken (BS), found in northern China, is considered to be a cold tolerant breed [
10], as it is adapted to the climate and geography of the Bashang region (41°14′-41°56′N, 114°50′-116°04′E; average altitude of 1,418 m, mean annual temperature of 1.9°C). Another remarkable feature of BS is favorable egg-laying performance under the natural environmental conditions of that region (about 150 eggs/hen per year according to local records). These are the main reasons that BS was selected for the present study.
Previous studies have reported that White Leghorns crossed with Bedouin fowl (a breed that is adapted to desert conditions and can withstand both hot summers and cold winters) can produce chickens that are similarly well adapted [
6]. Other studies report that Fayoumi, a heat tolerant breed, can be crossed with other breeds to produce crossbreds with improved adaptation and fitness traits [
11]. Thus, crossing BS with a commercial line to produce cold tolerant high performance laying chickens might be feasible. The objectives of the present study were to: i) validate whether BS is cold tolerant and whether egg production performance and cold tolerance of the crossbreds could be improved; and ii) determine the physiological differences that underlie cold tolerance and favorable egg production performance in cold environments.
MATERIALS AND METHODS
Animal care
The animal care protocol used in the present study was approved by The Animal Welfare Committee of China Agricultural University (permit number: DK996).
Animals
We first obtained 120 BS chickens (20 males+100 females; 14 wk of age) from a poultry conservation farm in the Bashang region, northern China. Another group of 110 RIR chickens (20 males+ 90 females; 14 wk of age) were obtained from a local layer breeding corporation in Beijing, China. To obtain the sample population of BS, RIR, and their reciprocal crosses (RMBF, RIR males cross BS females; RFBM, RIR females cross BS males), the females of each breed were evenly and randomly assigned to two groups (2 groups/breed×2 breeds = 4 groups), and reared in individually housed stair-step cages at the Zhuozhou Farm facility of China Agricultural University. When the laying rate of BS and RIR reached 60%, the two groups of females of each breed were artificially inseminated with the semen of either BS or RIR (once every four days). Eggs were collected for 14 consecutive days and stored at 20°C. These eggs were then hatched at the farm. We obtained more than 450 birds/group on May 1, 2015. After being hatched, the chicks were artificially sexed and individually marked with numbered wing-bands. Birds were kept together during brooding and in rearing cages from the time of hatching to 14 wk of age. The lighting and feeding programs were followed the farm management guide for RIR. Briefly, nutrient requirements were followed recommendations of the NRC [
12].Start pullets with 20 to 22 hours of continuous and 30 lux light during the first week of age, after which it was reduced to 10 lux and was reduced weekly to reach 10 hours at 10 weeks of age. From 17 weeks of age, the light was gradually increased in increments of 5 lux and 1 hour per week to 20 weeks of age.
For the adult birds of the four groups (BS, RIR, RMBF, and RFBM) used in the present study, the basic morphological information was provided here. Most of the BS birds have a yellow body with a black tail; the other colors found in BS include brown, black, white and speckled. The BS cock has a long tail feather which length is about 40 to 50 cm. The eggshell color of BS is brown and egg weight is about 54.2 g. Adult BS female weight is 1,645.6 g (22 wk of age). For RIR, the bird’s feathers are rust-colored. The eggshell color of RIR is brown and egg weight is about 60.5 g. Adult RIR female weight is 1,699.3 g (22 wk of age). For the two crossbreds, most of the birds have yellow and brown feathers, the other colors found include black, white and speckled. The eggshell color of the crossbreds is brown and egg weight is about 57.5 g. Adult female weight of the crossbreds is 1,686.3 g for RMBF and 1,673.3 g for RFBM (22 wk of age).
Experimental design and treatment
We designed the study as two parts, a warm environment experiment (used as a control) and a cold environment experiment. The purpose of the warm environment experiment is to investigate egg production performance of the four groups (BS, RIR, and their reciprocal crossbreds) under optimal conditions. While the cold environment experiment was set to test the egg production performance changes of the four groups compared to their counterparts under the warm environment, which can indicate the cold tolerance of the four groups. Moreover, for the four groups under the cold environment, their serum biochemical parameters, cloacal temperature (Tc) and body weight (BW) were monitored to find the underlying physiological characteristics of the four groups.
The cold environment experiment was conducted under con ditions of a natural cold environment, from September 1, 2015 to January 29, 2016, during the autumn and winter seasons in Beijing, China. Four groups of chickens (BS, RIR, RMBF, RFBM) were reared from 18 to 39 weeks of age for this study. On September 1, 2015, 102 healthy 18-wk-old females of each group were randomly selected and transferred to 12 identical half-open sheds (0.17 m2/bird, 34 chickens/shed, 3 replicates/group; natural cold environment) at an ecological ranch in the Yanqing County of Beijing (40°26′N, 116°05′E, average altitude of 520 m) with ad libitum access to water and feed. All sheds (2×3 m) included a patch of sandy ground (2×1 m) and were individually enclosed by woven wire fencing and equipped with perches (18 cm/bird), nests (1 per 6 hens), nipple drinkers, a feeder, a feed silo, and slatted floors (2×2 m, suspended 0.5 m above the ground). A conveyor belt running along the back of the nests collected the eggs. Another four groups of birds (n = 102, 18-wk-old) were reared in individually housed stair-step cages (688 cm2/bird), under standard housing conditions (warm environment), at the Zhuozhou Farm facility of China Agricultural University. Adjacent hens (34 birds) were set as a replicate, so there were three replicates per group in the warm environment. Under both environments, all birds received 16 h of light per day. The daily ambient temperature (Ta) range was recorded with maximum minimum centigrade thermometers (TFA Dostmann, Reicholzheim, Germany; ±1°C), and no differences were found between sheds at any given time. The daily mean Ta was calculated as the mean of the daily maximum and minimum temperatures (daily mean Ta varied from approximately 7.4°C to 26.5°C in the warm environment and from −17.5°C to 27.0°C in the natural cold environment). Relative humidity was recorded with digital hygrometers (TFA Dostmann, Germany), and no differences existed between sheds at any given time (in the warm environment: approximately 28% to 85%; and in the natural cold environment: approximately 19% to 92%).
Egg production performance
The daily egg-laying performance was recorded. The weekly laying rate was calculated as follows:
Sampling and parameters measurement
The BW, Tc, and serum biological parameters (glucose [GLU], triglycerides [TRI], triiodothyronine [T3], tetraiodothyronine [T4], follicle-stimulating hormone [FSH], luteinizing hormone [LH], and estradiol [E2]) of the birds reared under the natural cold environment were monitored. The BW was monitored throughout the study with 20 birds weighted every time. Tc was measured at 22, 27, 31, 34, 36, and 39 wk of age with 20 birds measured every time. At 20, 27, and 31 wk of age, serum biological parameters were measured with 12 birds were measured every time; while at 35 and 39 wk of age, 25 birds were measured to increase statistical power. To minimize disturbances, all sampling and measurements were conducted at 19:00 h and were completed within 2 h. Birds were randomly selected from sheds for sampling and measurements. The Tc was measured with a digital thermometer (Citizen CTE502; ±0.1°C). Blood samples (3 mL) were collected from the brachial vein into plastic vacuum tubes, which were kept in an incubator over night at 37°C for clotting. Then the clot was removed by centrifugation (Eppendorf 5804R, Hamburg, Germany) and the resulting supernatant serum was carefully collected using a pipette. Serum samples (1 mL) were stored at 4°C until further analysis. The concentrations of GLU and TRI were analyzed by an automatic biochemical analyzer (RA-1000, Bayer Corp., Tarrytown, NY, USA) using colorimetric methods, following the instructions of the corresponding reagent kits (Zhongsheng Biochemical Co., Ltd., Beijing, China). Serum T3, T4, E2, FSH, and LH were tested using commercially available
125I-labeled radioimmunoassay (RIA) kits (Beijing Sino-uk institute of Biological Technology, Beijing, China). Of these parameters, T3, T4, and E2 RIA kits were validated for measurements on chicken samples [
13,
14]; however, FSH and LH RIA kits were validated on human samples. All serum samples were analyzed within 48 h.
Statistical analysis
Data was analyzed using SPSS (SPSS for Windows Release 20.0, SPSS Inc.; Armonk, NY, USA). The egg production performance data was analyzed with two-way analysis of variance using the general linear models procedure. The main effects of rearing environment (temperature), genotype and the interaction between them were tested. The simple main effects analysis was performed to determine the mean difference in egg production performance between groups at each rearing environment, as well as between rearing environments for each group. The BW, Tc and serum biochemical parameters were analyzed using the mixed model, with a completely randomized, repeated measure design. Significant differences were determined using the least squares differences test with 5% probability.
DISCUSSION
Cold environments can dramatically affect health, performance and welfare of chickens. Over the past few decades, most breeding programs have only considered the economically relevant traits and have generally ignored the fitness related traits [
4]. On the other hand, there is a drastic difference between the environment of selection and that of production. In reality, animals face acute heat or cold exposure, gradual seasonal changes in temperature, and changes in diurnal temperature cycles. Thus, their ability to adapt to such environmental conditions has become an important issue. As results, many problems about production performance and welfare arose in the actual production environment [
15]. In the present study, we examined the egg production performance of RIR, BS, and their reciprocal crossbreds. The results show that cold stress negatively affects egg production performance, a finding that is consistent with previous studies [
6]. Under the natural cold environment, BS was the only breed to show no reduction in BW and kept steadily increasing throughout the entire experimental period, which suggests RIR is more vulnerable to cold environments. It also shows that the egg production performance of the crossbreds was higher in the natural cold environment. This suggests that crossing RIR with cold tolerant BS is an effective way to improve egg production performance in natural cold environments. Similarly, previous studies on Bedouin and Fayoumi strains have demonstrated that their crosses with commercial lines effectively improved performance of the crossbreds in suboptimal environmental conditions [
6].
Homeothermic animals develop adaptive modifications to cope with Ta fluctuations that include adjustments in metabolism, insulation, and behavior [
16]. Previous studies in birds have demonstrated that lower critical temperatures are reduced and metabolism is increased, as Ta decreases. The present results showed that when Ta fell below a threshold of −5°C, the BW of RIR was significantly reduced, and that of the crossbreds was just slightly reduced at the lowest Ta encountered in the study, whereas the BW of BS showed a steady increase. Similarly, Spinu and Degen [
6] showed that cold environments significantly reduced BW in White Leghorns, but not in Bedouin fowl, a breed adapted to desert conditions. Other studies [
8,
17] have demonstrated that abdominal fat content is negatively affected by low environmental temperatures. In the cold environment, heat loss must be compensated with comparable levels of heat production to maintain a constant body temperature range. Therefore, reductions in BW might be due to enhanced catabolism to generate more heat. Furthermore, the feed intake of RIR was also reduced at a later stage (data not shown), and this was directly associated with the reductions in BW. Therefore, extreme cold could have an influence on the nervous system and thereby affect feed intake. In this study, the Tc of RIR was kept stable, however, it of other three groups was reduced (the Tc of BS was reduced earlier and to a much greater extent than that of RMBF and RFBM). In cold environments, a lower body temperature facilitates the minimization of heat dissipation. These results, together with egg production performance, suggest that BS was better adapted to cold environments and that the crossbreds had improved cold tolerance. During the whole experimental period, the dead birds of the four groups under both environments varied from 0 to 4, we presume that these deaths were due to poor cold tolerance or bad health status.
Birds must increase heat production as Ta decreases, a process that entails hormonal regulation [
18,
19]. The success with which chickens cope with cold depends on their physiological ability to respond appropriately. Thyroid hormones, including T3 and T4, reportedly regulate thermogenesis, particularly the basal metabolic rate and cold-induced thermogenesis [
20,
21]. Previous studies [
8,
22] have reported that chicken T3 and T4 levels are elevated under cold stress. Serum levels of thyroid hormones were considered to be associated with energy production [
23,
24]. Guo et al [
25] assumed that thyroid stimulating hormone and T4 secretion are enhanced to increase the metabolic rate, as the bird adapted to colder environments. In the present study, we found that T3 and T4 levels were significantly higher in BS than in RIR, and those of crossbreds showed improvement to a different extent. This indicates that BS could generate more heat to keep body temperature stable in cold environments, and that the heat generating capacity of the crossbreds was also enhanced. At later stages, GLU levels of BS, RMBF, and RFBM were also significantly higher than that of RIR. Puvadolpirod and Thaxton [
26] demonstrated that serum GLU is important for homeostasis.
The female reproductive system is comprised of the ovary and oviduct, and is regulated by the hypothalamus-pituitary-gonadal axis. The hypothalamus produces gonadotropin-releasing hormone (GnRH) that stimulates the pituitary gland to produce LH and FSH, two hormones that in turn regulate ovarian follicular growth and ovulation. The ovary produces gonadal steroids, primarily estradiol and progesterone that return to the central nervous system through the bloodstream, and provide feedback regulation of hypothalamic GnRH production and release [
27]. Differences in egg-laying performance have been associated with differences in plasma levels of reproductive hormones, such as LH, FSH, and inhibins [
28]. During the later stages of the present study, LH, FSH, and E2 of BS, RMBF and RFBM were significantly higher than that of RIR. The different concentrations of these hormones might represent indicators or factors responsible for the differences in egg-laying performance; nevertheless, the timing of the differences observed in the levels of these hormones was not synchronized with the changes observed in the egg-laying rate. Reproduction is a complicated process that involves many hormones, and is affected by physiological conditions and by the external environment [
29]. It should be noted that the present study examined only three reproductive hormones (LH, FSH, and E2), and other hormones such as inhibin, progesterone, and GnRH were not analyzed. Some studies have reported that the effects of gonadotropins on follicular development and ovulation rate are mediated by intraovarian growth factors such as the insulin-like growth factor, bone morphogenetic proteins, and epidermal growth factor [
30]. Thus, it may be possible to determine the mechanisms that favor egg-laying performance in cold environments by analyzing the levels of a greater number of reproductive hormones and indices in future studies.
In individual growth and development, the levels of biochemical parameters are in a dynamic state. These levels can be affected by age, environment changes, and physiological conditions [
27]. Thus, levels of the serum biochemical parameters vary at different times. Despite the pulsatility of hormone secretion, we also observed notable variations in serum T3 and T4 levels in the present study. T3 and T4 concentrations in RIR were relatively higher at 20 wk of age, but became lower from 27 to 39 wk of age. In contrast, T3 and T4 concentrations of BS were increased to different extents from 27 to 39 wk of age. These findings might be due to breed differences, and the levels of T3 and T4 could be potential biomarkers for future selection of cold tolerant breeds.
In summary, the present study shows that BS is more cold tolerant, and could be a potential candidate for future selection and crossbreeding of cold tolerant breeds. Crossbreds of RIR and BS exhibit both favorable cold tolerance and favorable egg production performance.