scholarly journals Results of 15 Years of Precision Feeding of Hyper Prolific Gestating Sows

Animals ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 2908
Author(s):  
Nathalie Quiniou

The increase in prolificacy at weaning is less than that at farrowing due to increased loss of piglets. As a result, farmers focus more on solutions that can prevent difficult parturition or a decrease in milk production. The body condition of the sow influences both factors. A model developed to estimate energy requirements of gestating sows was used to monitor the body weight and back fat thickness (BT) at farrowing, through the creation of a demonstration farm that included 7 batches of 24 sows. Daily feed allowance was adapted to characteristics of each sow at the beginning of gestation. Based on data collected since 2005 from 5140 gestations in different housing systems, the BT averaged 19.3 mm at farrowing, with no significant differences among housing systems. Within-batch variability in BT ranged from 3–4 mm and is expected to improve in the future by using sensors to automatically weigh and measure physical activity towards a real-time assessment of energy requirements. The next step in reducing feed costs and environmental impacts is to consider amino-acid and phosphorus requirements in the precision-feeding strategy.

2003 ◽  
Vol 73 (3) ◽  
pp. 193-200 ◽  
Author(s):  
Mirmiran ◽  
Mohammadi ◽  
Allahverdian ◽  
Azizi

Objective: This study was conducted to determine the energy intake of adult residents of district 13 of Tehran and compare the results with their energy requirements. Design: In this cross-sectional study, 403 subjects were selected by random sampling, including 145 men and 151 women aged 25–50 years and 57 men and 50 women over 50 years old in the framework of Tehran Lipid and Glucose Study (TLGS). Measurements: Height, body weight, waist and hip circumferences were measured, and the body mass index (BMI) and waist-to-hip ratio (WHR) were calculated. Mean energy requirements for each sex-age group were estimated by multiplying specific coefficients (allocated to each group) by body weight and resting energy expenditure (REE), and the results of both methods were compared with mean energy values recommended by Food and Agriculture Organization (FAO) /World Health Organization (WHO) and the U.S. recommended dietary allowance (RDA). Dietary assessment was performed by 48-hour diet recall. A ratio of energy intake to basal metabolic rate lower than 1.27 was considered as under-reporting. Physical activity was evaluated by standard questionnaire of the Lipid Research Clinics (LRC). Results: Women were significantly more overweight and obese than men (p < 0.001) and older women were more obese than younger ones (p < 0.05). Only one-third of the study population had adequate physical activity. Women had significantly lower physical activity than men (p < 0.01). Energy requirements for both age and sex groups were lower than recommended daily allowances for energy: men 25–50; 2576 vs. 2900; men > 50: 2155 vs. 2300; women 20–50: 2045 vs. 2200 and women > 50: 1817 vs. 1900 kilocalories (kcal). Reported energy intake of men was higher and that of women was lower than the RDA. Forty percent of women and 14% of men under-reported their energy intake. Conclusion: The energy requirement of the average Tehranian is lower than daily allowances; conditions of obesity and overweight are more prevalent in women. There is high frequency of under-reporting of energy intake in women. Lifestyle modifications to improve dietary habits and to increase physical activity are recommended to decrease overweight and obesity in urban population of Tehran.


Nutrients ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 930
Author(s):  
Odysseas Androutsos ◽  
Maria Perperidi ◽  
Christos Georgiou ◽  
Giorgos Chouliaras

Previous studies showed that the coronavirus disease 2019 (COVID-19) lockdown imposed changes in adults’ lifestyle behaviors; however, there is limited information regarding the effects on youth. The COV-EAT study aimed to report changes in children’s and adolescents’ lifestyle habits during the first COVID-19 lockdown and explore potential associations between changes of participants’ lifestyle behaviors and body weight. An online survey among 397 children/adolescents and their parents across 63 municipalities in Greece was conducted in April–May 2020. Parents self-reported changes of their children’s lifestyle habits and body weight, as well as sociodemographic data of their family. The present study shows that during the lockdown, children’s/adolescents’ sleep duration and screen time increased, while their physical activity decreased. Their consumption of fruits and fresh fruit juices, vegetables, dairy products, pasta, sweets, total snacks, and breakfast increased, while fast-food consumption decreased. Body weight increased in 35% of children/adolescents. A multiple regression analysis showed that the body weight increase was associated with increased consumption of breakfast, salty snacks, and total snacks and with decreased physical activity. The COV-EAT study revealed changes in children’s and adolescents’ lifestyle behaviors during the first COVID-19 lockdown in Greece. Effective strategies are needed to prevent excessive body weight gain in future COVID-19 lockdowns.


Author(s):  
Daniela Reyes-Olavarría ◽  
Pedro Ángel Latorre-Román ◽  
Iris Paola Guzmán-Guzmán ◽  
Daniel Jerez-Mayorga ◽  
Felipe Caamaño-Navarrete ◽  
...  

The association between the changes in lifestyle during coronavirus disease 2019 (COVID-19) confinement and body weight have not been studied deeply. Therefore, the aim of the present study was to determine lifestyle changes, such as eating habits and physical activity (PA) patterns, caused by confinement during the COVID-19 pandemic and to analyze its association with changes in body weight. Seven hundred participants (women, n = 528 and men, n = 172) aged between 18–62 years old of the Chilean national territory participated in the study. Food habits, PA, body weight, and sociodemographic variables were measured through a survey in May and June 2020. The body weight increase presented positive association with the consumption of fried foods ≥ 3 times per week (OR; 3.36, p < 0.001), low water consumption (OR; 1.58, p = 0.03), and sedentary time ≥6 h/day (OR; 1.85, p = 0.01). Conversely, fish consumed (OR; 0.67, p = 0.03), active breaks (OR; 0.72, p = 0.04), and PA ≥ 4 times per week (OR; 0.51, p = 0.001) presented an inverse association with body weight increase. Daily alcohol consumption (OR; 4.77, p = 0.003) was associated with PA decrease. Food habits, PA, and active breaks may be protective factors for weight increase during COVID-19 confinement.


2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Gustavo Chamon de Castro Menezes ◽  
Sebastião de Campos Valadares Filho ◽  
José Reinaldo Mendes Ruas ◽  
Edenio Detmann ◽  
Arismar de Castro Menezes ◽  
...  

The aim of this study was to evaluate the productive and biological efficiency of steers and heifers from dairy genetics in a feedlot system in terms of meat production. Twenty-four steers and 24 heifers at 10 monthes of age, (3/4) Zebu × (1/4) Holstein were utilized. They were distributed over four feedlot times, 30, 60, 90, and 120 days with four replications for each sex, and were slaughtered at the end of each period. The productive and biological analyses were performed through comparative slaughter to determine the body composition. Heifers presented with greater intakes (P<0.05) of dry matter in grams per kg of body weight. Steers presented with a greater (P<0.05) final empty body weight, carcass gain, cold carcass weight, and meat proportion in the carcass; however, heifers presented with a greater subcutaneous fat thickness (P<0.05) and, consequently, a greater (P<0.05) fat proportion in the carcass. We conclude that steers are more efficient in their productive performance than heifers in a feedlot. For the finishing carcass fat cover, heifers need 90 days in the feedlot. The net energy requirements for maintenance are 67 kcal/EBW0.75/d, and the net requirements of energy (NEg) and protein (NPg) for gain can be estimated by the following equations:NEg(Mcal/d)=0.067×EBW0.75×  EBG1.095andNPg=162×EBG-5.62×REfor the two sexes.


2021 ◽  
Vol 27 (1) ◽  
pp. 4-11
Author(s):  
Nikolay Mikhailovich Vladimirov ◽  

Skeletal muscles are the largest organ in the human body, making up 40–50% of the total human body weight. This work is devoted to the study of physical activity on the athlete’s body. Given that the muscular system is more multifunctional than previously thought, and is able to aff ect many systems of the body through the synthesis and secretion of cytokines-classical regulators of the immune system, classifi ed as myokines. In this review article, we summarize our current knowledge of the main identifi ed and characterized myokines, focusing on their biological activity and functions. Through regular exercise, muscle-induced factors called myokines can exert and play an important role in protecting against many diseases.


Author(s):  
V.I. Dorozhkin ◽  
◽  
A.A. Reznichenko ◽  
L.V. Reznichenko ◽  
S.N. Vodyanitskaya ◽  
...  

We have studied the effect of the prebiotic hemiv on the organism of broiler chickens. As a result of the studies, the optimal dose of hemiv was established at which the growth of the bird increases, the safety increases, and the feed costs decrease. In this case, the optimal dose of the drug should be considered 0,6 g/kg of body weight. It should be noted that a higher dose (0,9 g/kg) does not give a significant increase in bird weight, and a low dose (0,3 g/kg) is less effective.


1998 ◽  
Vol 79 (6) ◽  
pp. 509-517 ◽  
Author(s):  
J. Van Milgen ◽  
J. F. Bernier ◽  
Y. Lecozler ◽  
S. Dubois ◽  
J. Noblet

A total of sixty-five observations on heat production during fasting and physical activity were obtained in four groups of pigs differing in breed and/or castration (Meishan (MC) and Large White (LWC) castrates and Large White (LWM) and Piétrain (PM) males) with body weight (BW) ranging between 25 and 60 kg. Pigs were fed ad libitum before fasting. Heat production was measured using indirect calorimetry. Fasting heat production (FHP) was proportional to the body weight raised to the power 0.55, but with group-specific proportionality parameters (810, 1200, 1220 and 1120kJ/kg BW0.55 per d for MC, LWC, LWM and PM respectively). Group effects could be removed by expressing FHP as a function of muscle, viscera and fat: FHP (kJ/d) = 457(muscle)0.81 + 1969(viscera)0.81 - 644(fat)0.81. It is hypothesized that different breeds with equal muscle and visceral mass, can have different FHP. The negative coefficient for fat would then be the result of a low FHP rather than a cause of it. Because a large part of the variation in tissue composition between groups was due to MC group, a separate equation for the lean groups was established. For lean pigs, FHP could be expressed as a function of muscle and viscera alone: FHP (kJ/d) = 508(muscle)0.66 + 2011(viscera)0.66. Both type of pig and BW affected the number of bouts of physical activities (i.e. standing or sitting) per day, the duration of activity and the total cost of activity. Energetic cost of activity was proportional to the muscle mass raised to the power 0.91 (FHPactivity (kJ/h activity) = 21.0(muscle)0.91). Physical activity represented less than 10% of the total heat production in fasting growing pigs housed alone in metabolic cages and kept in a quiet environment.


1995 ◽  
Vol 73 (3) ◽  
pp. 337-347 ◽  
Author(s):  
Klaas R. Westerterp ◽  
Jeroen H. H. L. M. Donkers ◽  
Elisabeth W. H. M. Fredrix ◽  
Piet oekhoudt

In adults, body mass (BM) and its components fat-free mass (FFM) and fat mass (FM) are normally regulated at a constant level. Changes in FM and FFM are dependent on energy intake (EI) and energy expenditure (EE). The body defends itself against an imbalance between EI and EE by adjusting, within limits, the one to the other. When, at a given EI or EE, energy balance cannot be reached, FM and FFM will change, eventually resulting in an energy balance at a new value. A model is described which simulates changes in FM and FFM using EI and physical activity (PA) as input variables. EI can be set at a chosen value or calculated from dietary intake with a database on the net energy of foods. PA can be set at a chosen multiple of basal metabolic rate (BMR) or calculated from the activity budget with a database on the energy cost of activities in multiples of BMR. BMR is calculated from FFM and FM and, if necessary, FFM is calculated from BM, height, sex and age, using empirical equations. The model uses existing knowledge on the adaptation of energy expenditure (EE) to an imbalance between EI and EE, and to resulting changes in FM and FFM. Mobilization and storage of energy as FM and FFM are functions of the relative size of the deficit (EI/EE) and of the body composition. The model was validated with three recent studies measuring EE at a fixed EI during an interval with energy restriction, overfeeding and exercise training respectively. Discrepancies between observed and simulated changes in energy stores were within the measurement precision of EI, EE and body composition. Thus the consequences of a change in dietary intake or a change in physical activity on body weight and body composition can be simulated.


2008 ◽  
Vol 294 (3) ◽  
pp. R699-R710 ◽  
Author(s):  
Catherine M. Kotz ◽  
Jennifer A. Teske ◽  
Charles J. Billington

High levels of spontaneous physical activity in lean people and the nonexercise activity thermogenesis (NEAT) derived from that activity appear to protect lean people from obesity during caloric challenge, while obesity in humans is characterized by dramatically reduced spontaneous physical activity. We have similarly demonstrated that obesity-resistant rats have significantly greater spontaneous physical activity than obesity-prone rats, and that spontaneous physical activity predicts body weight gain. Although the energetic cost of activity varies between types of activity and may be regulated, individual level of spontaneous physical activity is important in determining propensity for obesity. We review the current status of knowledge about the brain mechanisms involved in controlling the level of spontaneous physical activity and the NEAT so generated. Focus is on potential neural mediators of spontaneous physical activity and NEAT, including orexin A (also known as hypocretin 1), agouti-related protein, ghrelin, and neuromedin U, in addition to brief mention of neuropeptide Y, corticotrophin releasing hormone, cholecystokinin, estrogen, leptin, and dopamine effects on spontaneous physical activity. We further review evidence that strain differences in orexin stimulation pathways for spontaneous physical activity and NEAT appear to track with the body weight phenotype, thus providing a potential mechanistic explanation for reduced activity and weight gain.


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