Improvement of feed and nutrient efficiency in pig production through precision feeding

Longitudinal pattern of growth performance and feeding behaviour in pigs fed varying dietary crude protein levels and categorised by final feed efficiency

Feed efficiency (FE) estimated on pen level does not take individual feed intake or feeding behaviour into account, and thus, varying response among pen mates is impossible to quantify. This study aimed to explore the within-pen variation in FE of pigs fed one of three levels of CP. The study included 60 gilts (30-115 kg) divided into two repetitions (10 pigs/pen with an automatic feeder). Pigs were fed a low (LCP; 120 g SID CP/kg), standard (SCP; 124 g SID CP/kg) or high (HCP; 128 g SID CP/kg) CP diet. Pigs within diet were categorised based on their FCR in the final four growing weeks as the 30% highest (HF), medium 40% (MF), and the 30% lowest (LF). Weekly BW, average daily gain (ADG), feed conversion ratio (FCR), and daily and per-meal feed intake and feeding behaviour were measured per individual. Data were analysed as polynomial mixed models. Growth performance parameters except FCR had significant dietary treatment (DT) × time (T) and feed conversion category × time interactions. During weeks (W) 10-12, BW tended (P ≤ 0.10) to be greater in HCP compared with LCP aligning with the numerically highest intake for HCP in the preceding period. Similarly, HF intermittently had greater BW and preceding higher intake than LF or MF (0.05 ≤ P ≤ 0.10). The ADG of LCP pigs showed the greatest variability over time and intermittently increased faster and slower (0.05 ≤ P ≤ 0.10) than SCP and HCP, respectively. From W10 onwards, the HF pigs had a stable ADG while the ADG of LF and MF increased steeply and consequently was greater (P ≤ 0.05) at W13-14. In line with ADG, FCR varied significantly over time and most strongly for LCP. Overall, LF pigs had the lowest, while HF pigs had the highest FCR (P < 0.001). Meal size (P < 0.001) and duration (P < 0.001) had a significant DT × T interaction, being greater for HCP than LCP and occasionally SCP. In line with differences in growth rate, meal frequency decreased faster (P < 0.05) for HCP than LCP or SCP, resulting in longer intervals and limited differences in daily feeding duration. While meal size and duration tended (P ≤ 0.10) to be greater for HF than MF or LF pigs, differences in daily feeding behaviour were negligible. It was concluded that, independent of CP-level, a distinction in FCR categories could be attributed to differential meal feeding behaviour of HF pigs leading to higher feed intake, whereas differences in ADG changed during the growing-finishing phase.

Effects of Precision Feeding on Economic and Productive Yields of Hyperprolific Lactating Sows Allocated at Different Farrowing Pens

The results obtained using precision feeding in maternities (electronic sow feeders, ESFs) may be affected by the type of farrowing pen, as the design of the pen may modify the behavior of the sows. Hence, the aim of the present study was to determine the effects and possible interactions of electronic feeding systems in different types of farrowing pens (traditional, socialization and loose housing pens) on the productive and economic yields of lactating hyperprolific sows under commercial farm conditions. The results showed an overall lower feed disappearance in sows fed with ESFs and, consequently, a lower amount of feed per weaned piglet and per kg of weaned piglet, with evidence of improved welfare and no negative effects on body weight, condition at weaning or reproductive yields in the following cycle. These effects were, however, modulated by the type of pen and the type of bawl feeder; this finding highlights the need for improvement in the design of facilities and especially feeders to allow the sow a better use of available feed.

Influence of fermented milk permeate containing antimicrobial Lactobacillus and galactooligosaccharides on growth performance and health parameters in neonatal piglets

The study aimed to compare the effects of fermented milk permeate (MP) containing Pediococcus pentosaceus (MPPp) and P. acidilactici (MPPa) on growth performance, plasma parameters, and the faecal microbial, metataxonomic, and physicochemical characteristics of Topigs Norsvin Yorkshire piglets. A total of 36 1-day-old piglets were divided into three groups: (i) control group (C), (ii) MPPp group, and (iii) MPPa group. The treated groups, in addition to their full-fledged combined pre-starter diet, received 25 mL of MP daily. After the experiment, piglets in the MPPa group exhibited the highest weight gain, while piglets in the MPPp group showed the highest IgM concentration. Both experimental groups demonstrated increased Lactobacillus counts in the faeces. Although the numbers of Lactobacillus and Enterobacteria increased, these microbial changes did not show a direct correlation with growth performance. The feces of MPPa piglets had a unique volatile compound profile, characterized by higher levels of butanoic acid and indole levels, which may be linked to differences in their metataxonomic profile. The MPPp group showed a greater variety of bacterial patterns compared to the control and MPPa groups. Post-experiment, the MPPa group demonstrated the highest prevalence of specific bacterial species, Parabacteroides sp. 12,306, Terrisporobacter sp. 34,393, Holdemanella sp. 36,738, and Lachnospiraceae sp. In conclusion, feeding piglets with MPPa proved beneficial for achieving better weight gain while also promoting the proliferation of specific bacteria species and contributing to a distinctive VC profile in their faeces. These findings highlight the importance of further research into the metabolic pathways underlying these observations.

Technologies and practices to improve feed and nutrient utilization by pigs

This review aims to summarize the current practices producers can use to improve feed and nutrient utilization with a focus on providing critical information for use within future life cycle assessments of the swine industry. Nutrient utilization by pigs can be improved by closely meeting the nutrient requirements for maintenance, growth, and reproduction, which reduces nutrient excretion. For example, N excretion can be reduced by 8% and 3.7% for every percentage unit reduction in crude protein for growing pigs and lactating sows, respectively. Similarly, reducing excess trace minerals or replacing inorganic Cu, Zn, and Mn with lower additions of organic sources can reduce excretion by 28% to 42%, 38% to 53%, and 12% to 20%, respectively. Adoption of precision feeding strategies can lower N and P excretion by at least 11%. Ingredient selection and use of feed additives that enhance nutrient digestibility are also an important component in improving feed efficiency and nutrient utilization. The use of exogenous carbohydrase and protease can improve feed efficiency by 1.8%, while phytase can enhance P digestibility by 30% to 50%. At the feed mill, feed efficiency can be improved by 1% for every 100-µm reduction in particle size and by 8% with pelleting. At the farm, management practices such as reducing overfeeding of developing gilts and sows, increasing meal frequency, and minimizing feed wastage can also improve feed utilization. For example, feed wastage is estimated to represent 5% to 6% of total feed disappearance, and feeder type can reduce this by 1% to 10%. Lastly, non-nutritional strategies to improve feed efficiency should be considered, including genetic selection, managing thermal environment, and improving herd health. Current genetic selection results in a reduction in greenhouse gas production by 0.5% to 1.5% per year. Likewise, compared to healthy pigs, disease-challenged pigs have 6.3%, 7.9%, 7.4%, 5.8%, and 5.8% greater climate change potential, soil and water acidification potential, eutrophication potential, cumulative energy demand, and land application requirements, respectively. Currently, the swine industry primarily focuses on feed and management practices that optimize growth and minimize production costs. The challenge to future swine production will be to find emerging technologies that further reduce environmental impacts while still optimizing performance and production costs.

The urban-rural dietary water footprint and its inequality in China's urban agglomerations

Food system is the main consumer of water resources, and the differences in urban and rural diets pose new challenges to the water sustainability and increase the uncertainty of food security in China. In this study, we quantified the dietary water footprint (DWF) of urban and rural residents at the city scale in four major urban agglomerations in China from 2015 to 2021, identified the key economic and educational factors of urban and rural DWF, and measured the inequality of urban and rural DWF driven by the main influencing factors. We found that there was a 27.17 % increase in urban DWF and a 23.18 % increase in rural DWF between 2015 and 2021. Cereals had the largest water footprint among the 12 food types, accounting for 20.27 % and 31.57 % of urban and rural DWF, respectively. Meanwhile, milk and dairy products contributed the most to the difference between urban and rural DWF, up to 57.89 m3 each year. The main economic factor of DWF was consumption expenditure. The number of primary school students and the number of primary schools are the most important educational factors of urban and rural DWF, respectively. The results show there is an inequality between DWF and major educational factors, with a decreasing trend in DWF inequality over time. This study revealed for the first time the difference between urban and rural DWF at the city scale, and clarified the impact of regional educational inequality on DWF. A greater focus should be placed on the primary education-related factors that influence DWF inequality, in order to better target sustainable DWF strategies for urban and rural residents.

A Simplified Daily Fit Model to Reduce Costs and Nutrient Intake in Growing-Finishing Pigs

Precision feeding is an excellent alternative to conventional phase feeding systems for growing-finishing pigs, especially with increasing feeding costs and environmental sustainability concerns. However, precision feeding strategies sometimes require advanced technologies such as electronic devices and the modernization of pig facilities. In addition to hardware implementation, precision feeding is frequently related to mathematical difficulties due to a lack of professionals trained in decision making. Therefore, this study compares a conventional phase feeding model (CON) and a daily fit model (DFM) with a simplified approach to the conscious use of nutrients for pig production. A simulation study was conducted using growth curves of barrow pigs, following three nutritional recommendations for conventional phase feeding. Once the nutrient requirements for CON were determined, these diets were used for the DFM by anticipating a proportional percentage of the next phase diet in the current diet. This simple adjustment does not impair the growth performance of pigs. However, in this study, the DFM showed promise during the growing-finishing phases to reduce pigs' costs and nutrient intakes, such as crude protein, lysine, and digestible phosphorus, up to 5.58, 7.11 and 9.13%, respectively. In conclusion, the DFM can effectively reduce costs, minimize environmental impact, and promote sustainable practices. Also, this industry-wide adoption of this simplified precision feeding strategy could play a vital role in swine farmers' challenges, fostering broader environmental benefits and improved resource efficiency.

Use of Precision Feeding during Lactation Improves the Productive Yields of Sows and Their Piglets under Commercial Farm Conditions

Adequate nutritional management in maternities is one of the most challenging aspects of swine production. This study reports the results of two studies aiming to determine, under commercial farm conditions, the effects of precision feeding (electronic sow feeders, ESFs) on the production and economic yields of lactating sows and possible nutritional and metabolic differences when compared to a control group fed with traditional feeders. The first trial showed that sows fed with ESFs weaned heavier piglets than sows fed with traditional feeders. Feed intake during the lactation period was similar in the sows of both groups; consequently, the amount of feed per kg of weaned piglet was lower in the sows fed with ESFs, which is a remarkable economic output. The second trial confirmed these findings and showed that, despite similar feed intakes, the sows fed with ESFs had lower bodyweight losses during the lactation period, but there were no major differences in milk composition or metabolic traits of sows and piglets.

Identification of factors affecting fattening efficiency of commercial pig herds and analysis of their impact at different performance levels

Improving fattening efficiency is an important goal of breeding commercial pigs, especially for the large-scale pig farms. Fattening efficiency index (FEI) can be used to evaluate the fattening efficiency. The aim of this study was to identify the factors affecting the fattening efficiency of commercial pigs in large-scale pig farms and further study the impact of these factors on the production performance of commercial pig batches at different production levels. The data of 9,570 batches was mainly consisted of four parts (farm facilities, general information of piglets, production performance of nursery pigs and finishing pigs). A total of 28 variables were evaluated by the multi-variable linear regression models. The differences in production factors significantly correlated with FEI at piglets-finishing stage were compared among high-performing (HP), moderate-performing (MP), and low-performing (LP) batches of commercial pigs during the nursery and finishing stage. Among the 28 variables, 18 were significantly correlated with fattening efficiency (P < 0.05), including 11 continuous variables and seven discrete variables. The significant differences among the 11 consecutive variables in the HP, MP, and LP batches of commercial pigs mostly persisted from the piglets-nursery stage to the growing-finishing stage, ultimately affecting the FEI at piglets-finishing stage. For the seven significant discrete variables, the HP batches had a lower proportions in owned source of piglets, number of the purchasing piglets in spring and winter, number of batches in the East and North regions and five-way crossbred pigs, while a higher proportions in the use of closed circuit television video (CCTV) and wastes treatment system. The fattening efficiency of commercial pigs in large-scale pig farms was comprehensively affected by farm facilities, piglets, and production performance at nursery and finishing stage. The low fattening efficiency may have started at the end of nursery stage.

Metabolomics Profiling of Serum and Urine from Chuanzang Black Pigs with Different Residual Feed Intake

This study was conducted to evaluate associations of blood variables and urine variables with different residual feed intakes (RFIs) in growing Chuanzang black (CB) pigs. A total of 228 growing CB boars from 99 days were used. The same basal diet was offered ad libitum and individual feed intake and body weight were measured over a period of 181 d. The CB pigs were categorized based on their residual feed intake values, with six individuals each from the high and low ends selected and divided into two groups: the low residual feed intake group (LS) and the high residual feed intake group (HS). Serum and urine samples were collected at the end of the experiment for determination of metabolomics profiling. Results showed that there were significantly different metabolites in serum and urine of different RFI groups (fold-change, FC > 2.0 or FC < 0.5, and p < 0.05), and 21 metabolites were identified in serum and 61 in urine. Cluster analysis showed that 20 metabolites were up-regulated and one metabolite was down-regulated in serum; 44 metabolites were up-regulated and 17 metabolites were down-regulated in urine. Kyoto Encyclopedia of Genes and Genomes analysis showed that the differential metabolites of serum were enriched in linoleic acid metabolism, and the differential metabolites of urine were enriched in steroid hormone biosynthesis, taurine and hypotaurine metabolism, and primary bile acid biosynthesis. The correlations between serum metabolites and urine metabolites indicated a significant positive correlation between all fatty acyls in serum metabolites and L-glutamate in urine. However, no compelling genetic or blood biomarkers have been found to explain the differences in RFI, suggesting multiple approaches to effective feed use in pigs. This study provides new insights into the subsequent assessment of RFI by metabolomics profiling, as well as the development of novel feed additives for the factors that will facilitate future research directions in CB pigs.

- Invited Review - Current status, challenges and prospects for pig production in Asia

Asia is not only the primary region for global pig production but also the largest consumer of pork worldwide. Although the pig production in Asia has made great progress in the past, it still is confronted with numerous challenges. These challenges include: inadequate land and feed resources, a substantial number of small-scale pig farms, escalating pressure to ensure environmental conservation, control of devastating infectious diseases, as well as coping with high temperatures and high humidity. To solve these problems, important investments of human and financial capital are required to promote large-scale production systems, exploit alternative feed resources, implement precision feeding, and focus on preventive medicine and vaccines as alternatives to antibiotics, improve pig breeding, and increase manure recycling. Implementation of these techniques and management practices will facilitate development of more environmentally-friendly and economically sustainable pig production systems in Asia, ultimately providing consumers with healthy pork products around the world.

Characterizing sow feed intake during lactation to explain litter and subsequent farrowing performance

Variation in feed intake results in nearly 20% of sows consuming less than the recommended lysine (Lys) intake for lactating sows. The Lys requirement for lactating sows is based on litter size and piglet average daily gain which influences milk production. Litter size continues to increase every year causing the need for routine reevaluation of nutrient requirements. If dietary inclusion levels are not continuously adjusted this can lead to inadequate daily Lys and energy intake and may negatively impact sow body condition and litter performance. The objective was to characterize the average daily feed intake (ADFI) of sows and define feed intake patterns and their effects on sow body weight, farrowing performance, litter performance, and subsequent farrowing performance. ADFI during lactation was recorded for 4,248 sows from 7 independent research studies. Data collection occurred from November 2021 through November 2023 at a commercial breed-to-wean facility in western Illinois. Each sow was categorized as: consistently low intake (< 5.5 kg/d) throughout the lactation (LLL); low intakes (< 5 kg/d) in the first week, then gradually increased throughout the rest of the lactation period (LHH); gradual increase in intake throughout lactation with no drop and a peak intake after day 10 of lactation (gradual); rapid increase in intake with no drop and the peak intake met before day 10 (rapid); a major drop in feed intake (> 1.6 kg decrease for ≥ 2 d) any time during lactation (MAJOR); minor drop (≤ 1.6 kg for ≥ 2 d; MINOR). Sows were also separated into low (quartile 1; ≤ 25%), average (quartile 2 through 3), or high feed intake (quartile 4; ≥ 75%) by parity (P1, P2, P3+). Sows in the LLL category were younger in parity, had the greatest preweaned mortality, weaned the lightest average pigs, and experienced the greatest loss in body weight percentage compared with sows in all other feed intake categories. Furthermore, sows in the LLL and LHH categories had one fewer subsequent pig born compared with sows in the other four categories. These data support historical findings that feed intake patterns directly contribute to current litter farrowing performance. Lactation intake patterns also influence subsequent farrowing performance. Identifying under-consuming sows that are likely Lys and energy deficient allows producers opportunities to promote consistent, adequate daily intakes to these groups and mitigate negative impacts on sow and litter performance.

Benefits of automated pig feeding system: A simplified cost-benefit analysis in the context of Kazakhstan

Background and Aim

Automated pig feeding system is an emerging technology with the potential to considerably enhance pig farming. This study aimed to explore the benefits of automated pig feeding systems and provide a simplified cost-benefit analysis, which would serve as a valuable decision-making tool for the stakeholders.

Materials and Methods

This study conducted a literature review of automated pig feeding systems and explored recent advancements. We conducted a cost-benefit analysis to assess the economic feasibility of implementing an automated feeding system in pig farming. Finally, the case study site, a pig farm in Kazakhstan, has been introduced to provide key information.

Results

The results described an automated pig feeding system suitable for a farm with 500 pigs in Kazakhstan. The case study was further enhanced using a simplified cost-benefit analysis tailored to the farm's needs and circumstances.

Conclusion

The designed automated pig feeding system is a marked advancement that seamlessly integrates the currently available automation and management technologies. Its distinguishing feature is the inclusion of remote control capabilities and real-time data provision, which utilize modern technology to transform pig farming management.

Digestion and utilization of plant-based diets by transgenic pigs secreting β-glucanase, xylanase, and phytase in their salivary glands

Novel transgenic (TG) pigs co-expressing three microbial enzymes, β-glucanase, xylanase, and phytase, in their salivary glands were previously generated, which exhibited reduced phosphorus and nitrogen emissions and improved growth performances. In the present study, we attempted to explore the age-related change of the TG enzymic activity, the residual activity of the enzymes in the simulated gastrointestinal tract, and the effect of the transgenes on the digestion of nitrogen and phosphorus content in the fiber-rich, plant-based diets. Results showed that all the three enzymes were stably expressed over the growing and finishing periods in the F2 generation TG pigs. In simulated gastric juice, all the three enzymes exhibited excellent gastrointestinal environment adaptability. The apparent total tract digestibility of phosphorus was increased by 69.05% and 499.64%, while fecal phosphate outputs were decreased by 56.66% and 37.32%, in the TG pigs compared with the wild-type littermates fed with low non-starch polysaccharides diets and high fiber diets, respectively. Over half of available phosphorus and water-soluble phosphorus in fecal phosphorus were reduced. We also found the performance of phosphorus, calcium, and nitrogen retention rates were significantly improved, resulting in faster growth performance in TG pigs. The results indicate that TG pigs can effectively digest the high-fiber diets and exhibit good growth performance compared with wild type pigs.

Prediction of the daily nutrient requirements of gestating sows based on sensor data and machine-learning algorithms

Precision feeding is a strategy for supplying an amount and composition of feed as close that are as possible to each animal's nutrient requirements, with the aim of reducing feed costs and environmental losses. Usually, the nutrient requirements of gestating sows are provided by a nutrition model that requires input data such as sow and herd characteristics, but also an estimation of future farrowing performances. New sensors and automatons, such as automatic feeders and drinkers, have been developed on pig farms over the last decade, and have produced large amounts of data. This study evaluated machine-learning methods for predicting the daily nutrient requirements of gestating sows, based only on sensor data, according to various configurations of digital farms. The data of 73 gestating sows was recorded using sensors such as electronic feeders and drinker stations, connected weight scales, accelerometers, and cameras. Nine machine-learning algorithms were trained on various dataset scenarios according to different digital farm configurations (one or two sensors), to predict the daily metabolizable energy and standardized ileal digestible lysine requirements for each sow. The prediction results were compared to those predicted by the InraPorc model, a mechanistic model for the precision feeding of gestating sows. The scenario predictions were also evaluated with or without the housing conditions and sow characteristics at artificial insemination usually integrated into the InraPorc model. Adding housing and sow characteristics to sensor data improved the mean average percentage error by 5.58% for lysine and by 2.22% for energy. The higher correlation coefficient values for lysine (0.99) and for energy (0.95) were obtained for scenarios involving an automatic feeder system (daily duration and number of visits with or without consumption) only. The scenarios including an automatic feeder combined with another sensor gave good performance results. For the scenarios using sow and housing characteristics and automatic feeder only, the root mean square error was lower with gradient tree boosting (0.91 MJ/d for energy and 0.08 g/d for lysine) compared with those obtained using linear regression (2.75 MJ/d and 1.07 g/d). The results of this study show that the daily nutrient requirements of gestating sows can be predicted accurately using data provided by sensors and machine-learning methods. It paves the way for simpler solutions for precision feeding.

ASAS-NANP SYMPOSIUM: MATHEMATICAL MODELING IN ANIMAL NUTRITION: Opportunities and Challenges of Confined and Extensive Precision Livestock Production

Modern animal scientists, industry, and managers have never faced a more complex world. Precision livestock technologies have altered management in confined operations to meet production, environmental, and consumer goals. Applications of precision technologies have been limited in extensive systems such as rangelands due to lack of infrastructure, electrical power, communication, and durability. However, advancements in technology have helped to overcome many of these challenges. Investment in precision technologies is growing within the livestock sector, requiring the need to assess opportunities and challenges associated with implementation to enhance livestock production systems. In this review, precision livestock farming and digital livestock farming are explained in the context of a logical and iterative five-step process to successfully integrate precision livestock measurement and management tools, emphasizing the need for precision system models (PSMs). This five-step process acts as a guide to realize anticipated benefits from precision technologies and avoid unintended consequences. Consequently, the synthesis of precision livestock and modeling examples and key case studies help highlight past challenges and current opportunities within confined and extensive systems. Successfully developing PSM requires appropriate model(s) selection that aligns with desired management goals and precision technology capabilities. Therefore, it is imperative to consider the entire system to ensure that precision technology integration achieves desired goals while remaining economically and managerially sustainable. Achieving long-term success using precision technology requires the next generation of animal scientists to obtain additional skills to keep up with the rapid pace of technology innovation. Building workforce capacity and synergistic relationships between research, industry, and managers will be critical. As the process of precision technology adoption continues in more challenging and harsh, extensive systems, it is likely that confined operations will benefit from required advances in precision technology and PSMs, ultimately strengthening the benefits from precision technology to achieve short- and long-term goals.

A Novel Estimation of Unobserved Pig Growth Traits for the Purposes of Precision Feeding Methods

Recent technological advances make it possible to deliver feeding strategies that can be tailored to the needs of individual pigs in order to optimise the allocation of nutrient resources and contribute toward reducing excess nutrient excretion. However, these efforts are currently hampered by the challenges associated with: (1) estimation of unobserved traits from the available data on bodyweight and feed consumption; and (2) characterisation of the distributions and correlations of these unobserved traits to generate accurate estimates of individual level variation among pigs. Here, alternative quantitative approaches to these challenges, based on the principles of inverse modelling and separately inferring individual level distributions within a Bayesian context were developed and incorporated in a proposed precision feeding modelling framework. The objectives were to: (i) determine the average and distribution of individual traits characterising growth potential and body composition in an empirical population of growing-finishing barrows and gilts; (ii) simulate the growth and excretion of nitrogen and phosphorus of the average pig offered either a commercial two-phase feeding plan, or a precision feeding plan with daily adjustments; and (iii) simulate the growth and excretion of nitrogen and phosphorus across the pig population under two scenarios: a two-phase feeding plan formulated to meet the nutrient requirements of the average pig or a precision feeding plan with daily adjustments for each and every animal in the population. The distributions of mature bodyweight and ratio of lipid to protein weights at maturity had median (IQR) values of 203 (47.8) kg and 2.23 (0.814) kg/kg, respectively; these estimates were obtained without any prior assumptions concerning correlations between the traits. Overall, it was found that a proposed precision feeding strategy could result in considerable reductions in excretion of nitrogen and phosphorus (average pig: 8.07 and 9.17% reduction, respectively; heterogenous pig population: 22.5 and 22.9% reduction, respectively) during the growing-finishing period from 35 to 120 kg bodyweight. This precision feeding modelling framework is anticipated to be a starting point toward more accurate estimation of individual level nutrient requirements, with the general aim of improving the economic and environmental sustainability of future pig production systems.