Excess dietary Lys reduces feed intake, stimulates jejunal CCK secretion and alters essential and non‑essential blood AA profile in pigs

Background Commercial diets are frequently formulated to meet or exceed nutrient levels including those of lim-iting essential amino acids(AA)covering potential individual variations within the herd.However,the provision of dietary excess of AA,such as Lys,may lead to reduced appetite and growth in pigs.The mechanisms modulat-ing these responses have not been extensively investigated.This study evaluated the effect of Lys dietary excesses on performance and satiety biomarkers in post weaning pigs.Methods Twenty-four pigs aged 21 d and weighing 6.81±0.12kg(mean±SEM)were individually housed and offered 1 of 4 dietary treatments for 3weeks:a diet containing a standardized ileal digestible Lys reaching 100%(T0),120%(T1),150%(T2)or 200%(T3)of the NRC(2012)requirements.At the end of the experiment,blood samples from the cephalic vein of the T0 and T3 groups were obtained for AA analysis.In addition,primary intestinal cultures from T0 pigs were used,following their humane killing,to evaluate the effect of Lys on gut hormone secretion and AA sensors gene expression under ex vivo conditions.Results Feed intake was linearly reduced(P<0.001)and the weight gain to feed ratio reduced(P<0.10)with increased dietary levels of Lys during the third-and first-week post weaning,respectively.Cholecystokinin con-centration(P<0.05)and the metabotropic glutamate receptor 1 and the solute carrier family 7 member 2(P<0.10)gene expression was enhanced in proximal jejunum tissues incubated with Lys at 20mmol/L when compared to the control(Lys 0mmol/L).Plasma Lys and Glu(P<0.05)concentration increased in the T3 compared to T0 pigs.In contrast,plasma levels of His,Val,Thr,Leu(P<0.05)and Gln(P<0.10)were lower in T3 than T0 pigs.Conclusion The present results confirm that excess dietary Lys inhibits hunger in pigs.Moreover,the results provide evidence of pre-and post-absorptive mechanisms modulating these responses.Lys dietary excesses should be nar-rowed,when possible,to avoid negative effects of the AA on appetite in pigs.

Dietary fiber during gestation improves lactational feed intake of sows by modulating gut microbiota

Background The feed intake of sows during lactation is often lower than their needs.High-fiber feed is usually used during gestation to increase the voluntary feed intake of sows during lactation.However,the mechanism underlying the effect of bulky diets on the appetites of sows during lactation have not been fully clarified.The current study was conducted to determine whether a high-fiber diet during gestation improves lactational feed intake(LFI)of sows by modulating gut microbiota.Methods We selected an appropriate high-fiber diet during gestation and utilized the fecal microbial transplanta-tion(FMT)method to conduct research on the role of the gut microbiota in feed intake regulation of sows during lactation,as follows:high-fiber(HF)diet during gestation(n=23),low-fiber(LF)diet during gestation(n=23),and low-fiber diet+HF-FMT(LFM)during gestation(n=23).Results Compared with the LF,sows in the HF and LFM groups had a higher LFI,while the sows also had higher peptide tyrosine tyrosine and glucagon-like peptide 1 on d 110 of gestation(G110 d).The litter weight gain of piglets during lactation and weaning weight of piglets from LFM group were higher than LF group.Sows given a HF diet had lower Proteobacteria,especially Escherichia-Shigella,on G110 d and higher Lactobacillus,especially Lactobacil-lus_mucosae_LM1 and Lactobacillus_amylovorus,on d 7 of lactation(L7 d).The abundance of Escherichia-Shigella was reduced by HF-FMT in numerically compared with the LF.In addition,HF and HF-FMT both decreased the perinatal concentrations of proinflammatory factors,such as endotoxin(ET),lipocalin-2(LCN-2),tumor necrosis factor-α(TNF-α),and interleukin-1β(IL-1β).The concentration of ET and LCN-2 and the abundance of Proteobacteria and Escheri-chia-Shigella were negatively correlated with the LFI of sows.Conclusion The high abundance of Proteobacteria,especially Escherichia-Shigella of LF sows in late gestation,led to increased endotoxin levels,which result in inflammatory responses and adverse effects on the LFI of sows.Add-ing HF during gestation reverses this process by increasing the abundance of Lactobacillus,especially Lactobacil-lus_mucosae_LM1 and Lactobacillus_amylovorus.

Functional Genes in Relation to Residual Feed Intake in Murrah Buffalo Heifers

High Feed efficiency (FE) in growing heifers has economic importance in dairy, but remains less understood in buffaloes. Feed conversion efficiency is defined as dry matter intake (DMI) per unit body weight gain and is determined as residual feed intake (RFI), i.e., the difference between actual and predicted feed intake to gain unit body weight during a feed trial run for 78 days under control feeding. A large variation was identified ranging between -0.42 to 0.35 in growing buffalo heifers (n = 40) of age between 11 to 15 months. An average daily weight gain (ADG) varied between 382.0 and 807.6 g/day when compared with the control-fed heifers at an organized buffalo farm. The whole blood transcriptome data obtained from the selected growing heifers from extremes of estimated high and low RFI efficiency were compared with the reference assembly generated from the transcriptome of multiparous buffaloes (n = 16) of diverse age of maturity, period of regaining post partum cyclicity and level of milk production. Differentially expressed genes (DEGs) were identified using the reference genome of Mediterranean water buffalo. GO: terms (Padj 0.05, FDR 0.05) enriched by annotated DEGs and biological pathways in gene network for RFI efficiency trait were identified. GO: terms specific to pre-transcriptional regulation of nucleus and Chromatin organization under Nucleoplasm, Energy balancing, Immunity, Cell signaling, ROS optimization, ATP generation through the Electron Transport chain and cell proliferation were determined. The study reveals the indicators targeting the actual metabolic changes and molecular functions underlying the feed utilization capacity of buffaloes. Estimated RFI efficiency revealed a large variation over heifers which may lower the DMI even up to 13.6% thus, enabling an increase in ADG up to 16% by involving efficient heifers in breeding plan. The study revealed a scope of high gain by selective breeding for FE in heifers. FE variants catalogued in the study are useful breed-specific RFI markers for future reference. The study contributes to the understanding of feed efficiency in buffaloes and its association with key interactive traits such as reproduction and growth. This knowledge can be utilized to develop more effective breeding programs.

Effects of Dietary Soy Isoflavones on Feed Intake,Growth Performance and Digestibility in Juvenile Japanese Flounder(Paralichthys olivaceus)

An 8-week feeding trial was conducted to investigate the effects of dietary soy isoflavones on feeding intake,growth performance,and digestion of juvenile Japanese flounder(Paralichthys olivaceus).Four isonitrogenous(49% crude protein) and isoenergetic(20.1 MJ kg-1) diets were formulated to contain four graded levels of soy isoflavones,namely,0,1,4 and 8 g soy isoflavones in 1 kg of diet.Each diet was randomly fed to triplicate tanks of fish(Initial average weight:2.58 g ± 0.01 g),and each tank was stocked with 35 fish.No significant difference was observed among diets with levels of 0,1 and 4 g kg-1 soy isoflavones in feed intake,weight gain,feed efficiency ratio(FER),proximate composition of fish whole body and apparent digestibility coefficients(ADC) of nutrients and energy(P>0.05).However,high dietary soy isoflavones level(8 g kg-1) significantly depressed weight gain,FER,whole-body crude lipid content of fish and ADC of nutrients(P<0.05).These results indicate that high level of dietary soy isoflavones(above 4 g kg-1) significantly depresses growth responses and FER of Japanese flounder.However,as the content of soy isoflavones in soybean meal is around 1 to 3 g kg-1,the adverse effects might be neglected when soybean products are used as a fish feed ingredient.

Linkage between the intestinal microbiota and residual feed intake in broiler chickens

Background:Intestinal microbiota plays a key role in nutrient digestion and utilization with a profound impact on feed efficiency of livestock animals.However,the intestinal microbes that are critically involved in feed efficiency remain elusive.Methods:To identify intestinal bacteria associated with residual feed intake(RFI)in chickens,male Cobb broiler chicks were individually housed from day 14 to day 35.Individual RFI values were calculated for 56 chickens.Luminal contents were collected from the ileum,cecum,and cloaca of each animal on day 35.Bacterial DNA was isolated and subjected to 16S rRNA gene sequencing.Intestinal microbiota was classified to the feature level using Deblur and QIIME 2.High and low RFI groups were formed by selecting 15 and 17 chickens with the most extreme RFI values for subsequent LEfSe comparison of the difference in the microbiota.Spearman correlation analysis was further performed to identify correlations between the intestinal microbiota composition and RFI.Results:No significant difference in evenness,richness,and overall diversity of the microbiota in the ileum,cecum,or cloaca was observed between high and low RFI chickens.However,LEfSe analysis revealed a number of bacterial features being differentially enriched in either high or low RFI chickens.Spearman correlation analysis further identified many differentially enriched bacterial features to be significantly correlated with RFI(P<0.05).Importantly,not all short-chain fatty acid(SCFA)producers showed a positive association with RFI.While two novel members of Oscillibacter and Butyricicoccus were more abundant in low-RFI,high-efficiency chickens,several other SCFA producers such as Subdoligranulum variabile and two related Peptostreptococcaceae members were negatively associated with feed efficiency.Moreover,a few closely-related Lachnospiraceae family members showed a positive correlation with feed efficiency,while others of the same family displayed an opposite relationship.Conclusions:Our results highlight the complexity of the intestinal microbiota and a need to differentiate the bacteria to the species,subspecies,and even strain levels in order to reveal their true association with feed efficiency.Identification of RFI-associated bacteria provides important leads to manipulate the intestinal microbiota for improving production efficiency,profitability,and sustainability of poultry production.

Effects of Central Administration of Glutamine and Alanine on Feed Intake and Hypothalamic Expression of Orexigenic and Anorexigenic Neuropetides in Broiler Chicks

Different amino acids have been shown to affect feed intake when injected directly into the central nervous system of birds. In the present study, we investigated the effects of L-glutamine and L-alanine on feed intake and the mRNA expression levels of hypothalamic neuropeptides involved in feed intake regulation in broiler chicks. L-Glutamine or L- alanine was intra-cerebroventricularly （ICV） administered to 4-d-old broiler chicks and the feed intake were recorded at various time points. Quantitative PCR was performed to determine the hypothalamic mRNA expression levels of neuropeptide Y （NPY）, agouti related protein （AgRP）, pro-opiomelanocortin （POMC）, melanocortin receptor 4 （MC4R） and corticotropin releasing factor （CRF）. Our results showed that ICV administration of L-glutamine （0.55 or 5.5 pmol） significantly increased feed intake up to 2 h post-administration period and the hypothalamic NPY mRNA expression levels, while it markedly decreased hypothalamic POMC and CRF mRNA expression levels. In contrast, ICV administration of L-alanine （4 lamol） significantly decreased feed intake for the first 0.5 h post-administration period, and reduced the hypothalamic AgRP mRNA expression levels, while it remarkablely enhanced the mRNA expression levels of MC4R and CRF. These findings suggested that L-glutamine and L-alanine could act within the hypothalamus to influence feed intake in broiler chicks, and that both orexigenic and anorexigenic neuropeptide genes might contribute directly to these effects.

Quantitative analysis of ruminal methanogenic microbial populations in beef cattle divergent in phenotypic residual feed intake(RFI)offered contrasting diets

Background：Methane（CH_4） emissions in cattle are an undesirable end product of rumen methanogenic fermentative activity as they are associated not only with negative environmental impacts but also with reduced host feed efficiency.The aim of this study was to quantify total and specific rumen microbial methanogenic populations in beef cattle divergently selected for residual feed intake（RFI） while offered（i） a low energy high forage（HF） diet followed by（ii） a high energy low forage（LF） diet.Ruminal fluid was collected from 14 high（H）and 14 low（L） RFI animals across both dietary periods.Quantitative real time PCR（qRT-PCR） analysis was conducted to quantify the abundance of total and specific rumen methanogenic microbes.Spearman correlation analysis was used to investigate the association between the relative abundance of methanogens and animal performance,rumen fermentation variables and diet digestibility.Results：Abundance of methanogens,did not differ between RFI phenotypes.However,relative abundance of total and specific methanogen species was affected（P〈 0.05） by diet type,with greater abundance observed while animals were offered the LF compared to the HF diet.Conclusions：These findings suggest that differences in abundance of specific rumen methanogen species may not contribute to variation in CH_4 emissions between efficient and inefficient animals,however dietary manipulation can influence the abundance of total and specific methanogen species.

Effects of “Bioactive” amino acids leucine, glutamate, arginine and tryptophan on feed intake and mRNA expression of relative neuropeptides in broiler chicks

Feed intake control is vital to ensuring optimal nutrition and achieving full potential for growth and development in poultry. The aim of the present study was to investigate the effects of L-leucine, L-glutamate, L-tryptophan and L-arginine on feed intake and the mRNA expression levels of hypothalamic Neuropeptide involved in feed intake regulation in broiler chicks. Leucine, glutamate, tryptophan or arginine was intra-cerebroventricularly （ICV） administrated to 4d-old broiler chicks respectively and the feed intake were recorded at various time points. Quantitative PCR was performed to determine the hypothalamic mRNA expression levels of Neuropeptide Y （NPY）, agouti related protein （AgRP）, pro-opiomelanocortin （POMC）, melanocortin receptor 4 （MC4R） and corticotrophin releasing factor （CRF）. Our results showed that ICV administration of L-leucine （0.15 or 1.5 μmol） significantly （P〈0.05） increased feed intake up to 2 h post-administration period and elevated both hypothalamic NPY and AgRP mRNA expression levels. In contrast, ICV administration of L-glutamate （1.6 μmol） significantly （P 〈 0.05） decreased feed intake 0.25, 0.5 and 2 h post-injection, and increased hypothalamic CRF and MC4R mRNA expression levels. Meanwhile, both L-tryptophan （10 or 100 μg） and L-arginine （20 or 200 μg） had no significant effect on feed intake. These findings suggested that L-leucine and L-glutamate could act within the hypothalamus to influence food intake, and that both orexigenic and anorexigenic Neuropeptide genes might contribute directly to these effects.

Evaluating Feed Intake of Fishes in Aquaculture Nutrition Experiments with Due Consideration of Mortality and Fish Survival

Mortality is normal and natural in aquaculture experiments. However, it becomes a problem when measuring feed intake as a component of nutrient utilization parameters such as： feed conversion ratio, feed conversion efficiency, apparent net protein utilization, protein efficiency ratio and protein productive value. In order to accurately evaluate feed intake with due consideration of mortality encountered, a formulae was developed using empirical data obtained from an experiement that had mortality. The formulae Fwas： total feed consumed by numbers of survived fishes=DL∑i=1n（Fi/Ni）N. Where, D=Numbers of days fishes were fed within each period ibefore it was adjusted（e.g fortnight）, it was constant throught period of experiment; F=Uantity of feed fed per day for a fortnight before the quantity was adjusted, it changed every fortnight; L=Numbers of living fishes at the end of experimental period; N=Numbers of fishes at each weighing period, it might change every fortnight or might be constant if no mortality occurred; while n=Numbers of times fishes were weighed and quantity of feed was adjusted but this did not include the final weighing at the termination of experiment. However, if the fishes were weighed weekly, then D=6.

Stress and immunological response of heifers divergently ranked for residual feed intake following an adrenocorticotropic hormone challenge

Background： When an animal is exposed to a stressor, metabolic rate, energy consumption and utilisation increase primarily through activation of the hypothalamic-pituitary-adrenal（HPA） axis. Changes to partitioning of energy by an animal are likely to influence the efficiency with which it is utilised. Therefore, this study aimed to determine the physiological stress response to an exogenous adrenocorticotropic hormone（ACTH） challenge in beef heifers divergently ranked on phenotypic residual feed intake（RFI）.Results： Data were collected on 34 Simmental weaning beef heifers the progeny of a well characterized and divergently bred RFI suckler beef herd. Residual feed intake was determined on each animal during the postweaning stage over a 91-day feed intake measurement period during which they were individually offered adlibitum grass silage and 2 kg of concentrate per head once daily. The 12 highest [0.34 kg DM/d] and 12 lowest[-0.48 kg DM/d] ranking animals on RFI were selected for use in this study. For the physiological stress challenge heifers（mean age 605 ± 13 d; mean BW 518 ± 31.4 kg） were fitted aseptically with indwelling jugular catheters to facilitate intensive blood collection. The response of the adrenal cortex to a standardised dose of ACTH（1.98 IU/kg metabolic BW^（0.75）） was examined. Serial blood samples were analysed for plasma cortisol, ACTH and haematology variables. Heifers differing in RFI did not differ（P = 0.59） in ACTH concentrations. Concentration of ACTH peaked（P 〈 0.001） in both RFI groups at 20 min post-ACTH administration, following which concentration declined to baseline levels by 150 min. Similarly, cortisol systemic profile peaked at 60 min and concentrations remained continuously elevated for 150 min. A RFI × time interaction was detected for cortisol concentrations（P = 0.06） with high RFI heifers had a greater cortisol response than Low RFI from 40 min to 150 min relative to ACTH administration. Cortisol response was positively associated with RFI status（r = 0.32; P 〈 0.01）. No effect of RFI was evident for neutrophil, lymphocytes, monocyte, eosinophils and basophil count. Plasma red blood cell number（6.07 vs. 6.23; P = 0.02） and hematocrit percentage（23.2 vs. 24.5; P = 0.02） were greater for low than high RFI animals.Conclusions： Evidence is provided that feed efficiency is associated with HPA axis function and susceptibility to stress, and responsiveness of the HPA axis is likely to contribute to appreciable variation in the efficiency feed utilisation of cattle.

Effect of Feed Intake Characteristic on Growth Performance in Luyu-Duroc and Yorkshire

[ Objective] To study the effect of feed intake characteristic on growth performance in Luyu - Duroc and Yorkshire. [ Method] 89 Luyu - Yorkshire and 82 Luyu -Duroc were chosed and fed in the automatic determination system for swine production, 24h real-time monitoring feed in- take traits and growth performance, [ Result] It showed that： as feed intake increased, average daily gain （ADG） and weight of 4 months were en- hanced, days on test, feed conversion ratio （FCR） and age-corrected of weight at 100 kg were reduced, feed intake positively regulated growth performance of Luyu -Doroc and Yorkshire. Feed intake significantly impacted ADG and days on test （P 〈0.01 ）, notably affected age-corrected of weight at 100 kg of Luyu - Duroc and FCR of Luyu - Yorkshire （ P〈 0.05）, variation tendency of feed frequency was consistent with feed intake and feed time, and the correlation was significant. [ Conclusion] The correlation between feed intake traits and growth performance was mainly caused by feed intake, ADG and FCR, however, predictability of feed intake was stronger than ADG and FCR, so in the actual selection feed intake was increased in pig breeding, thus at the same time to enhance ADG and to reduce FCR.

Use of Chromium Oxide and Alkane Indicator Methods for Determination of Feed Intake for Grazing Sheep

This experiment was carried out to determine feed intake and digestibility of grazing sheep on pasture. A total of 14 animals randomly divided into two groups with seven animals each group were used in the experiment. Digestibility of pastures was determined using two types of markers-alkane （C32-C36） and chromium oxide. Dry matter intake （DMI） was 717.22 g/d based on chromium oxide method in the experiment, while according to alkane method, DMI was 965.93 g/d and 1,051.07 g/d for C32 and C36, respectively. In conclusion, pastures met 74%-81% of crude protein （CP） and 57%-61% of energy requirements of lambs grazing on Yuzuncu Yil University pasture, who are mid-quality and 4-7 month-old with a 275 g/d expected daily gain. It was calculated that when 628-693 g/d of barley is given, both CP and metabolizable energy （ME） requirements of animals can be met.

Integrated multi-omics reveals the relationship between growth performance,rumen microbes and metabolic status of Hu sheep with different residual feed intakes

Residual feed intake(RFI)is a metric that provides a more accurate measure of feed efficiency.The lower the RFI,the higher the feed efficiency.The changes in the host microbiome and metabolome contribute to the greater feed efficiency of low RFI(LRFI)animals.The aim of this study was to explore the differences in rumen microorganisms,rumen metabolites and plasma metabolites of Hu sheep with differing RFI through the microbiome and metabolome.A total of 80 Hu sheep were used.The experiment consisted of a 15-d pretrial period and a 128-d experimental period.The RFI in the experimental period was calculated for all sheep,and the sheep were screened into high RFI(HRFI,n=8)and LRFI(n=8)groups.The HRFI and LRFI sheep did not differ in their initial and final body weights,average daily gain and body measurements,but the dry matter intake of LRFI sheep was significantly decreased(28.4%,P<0.001).The sheep with LRFI had higher digestibility of crude protein(P=0.010)and ether extract(P=0.010)compared to HRFI group.The concentrations of acetate(P=0.036),propionate(P=0.010),valerate(P=0.027)and total volatile fatty acids(P=0.048)in rumen of LRFI group were higher compared to HRFI group.The results of 16S rDNA sequencing indicated that the sheep with LRFI had higher proportions of Prevotella genus in rumen liquid(P=0.031).The rumen metabolome and plasma metabolome results showed that the citrate cycle,pyruvate metabolism and alanine,aspartate and glutamate metabolism processes were more active for sheep in LRFI group,which provided more energy substrate such as malic acid,oxoglutaric acid and citric acid.In conclusion,sheep with LRFI can utilize feed more efficiently,and the more active energy metabolism pathway and the production of energy substances may account for the higher feed efficiency.

Alterations in nutrient digestion and utilization associated with different residual feed intake in Hu sheep

Improving feed efficiency is crucial to the animal industry.Residual feed intake(RFI)is now regarded as an index of feed efficiency evaluation and is independent of growth characteristics.Our study aims to explore the alterations in growth performance and nutrient digestion in Hu sheep with different RFI phenotypes.Sixty-four male Hu sheep(body weight=24.39±1.12 kg;postnatal days=90±7.9)were selected for the study.After an evaluation period of 56 days and power analysis,samples were collected from 14 low RFI(L-RFI group,power=0.95)and 14 high RFI sheep(H-RFI group,power=0.95).The L-RFI sheep yielded a lower(P<0.05)feed conversion ratio and dry matter intake;however,both groups exhibited similar average daily gain(P>0.05).The acid detergent fiber,neutral detergent fiber,organic matter,and crude protein apparent digestibility were higher(P<0.05)in L-RFI sheep.N intake and fecal N output(%of N intake)were lower(P<0.05)and N retention(%of N intake)was higher(P<0.05)in L-RFI sheep,whereas no difference(P>0.05)was found in urine N output(%of N intake)between the 2 groups.Furthermore,L-RFI sheep gave lower(P<0.05)serum glucose concentrations and higher(P<0.05)non-esterified fatty acid concentrations.Meanwhile,a lower ruminal acetate molar proportion(P<0.05)and higher propionate molar proportion(P<0.05)were observed in L-RFI sheep.In summary,these results revealed that despite having lower dry matter intake,L-RFI sheep possess higher nutrient digestibility,N retention,ruminal propionate production and serum glucose utilization,in order to meet energy demands.Selection for low RFI sheep could reduce feed costs,which in turn provides economic benefits to the sheep industry.

Vision-based measuring method for individual cow feed intake using depth images and a Siamese network

Feed intake is an important indicator to reflect the production performance and disease risk of dairy cows,which can also evaluate the utilization rate of pasture feed.To achieve an automatic and non-contact measurement of feed intake,this paper proposes a method for measuring the feed intake of cows based on computer vision technology with a Siamese network and depth images.An automated data acquisition system was first designed to collect depth images of feed piles and constructed a dataset with 24150 samples.A deep learning model based on the Siamese network was then constructed to implement non-contact measurement of feed intake for dairy cows by training with collected data.The experimental results show that the mean absolute error(MAE)and the root mean square error(RMSE)of this method are 0.100 kg and 0.128 kg in the range of 0-8.2 kg respectively,which outperformed existing works.This work provides a new idea and technology for the intelligent measuring of dairy cow feed intake.

Growth Efficiency of Local Chickens Using Sweet Potato Vine with Concentration Feed as a Basal Diet

The experiment was conducted at the animal experimental station of the Faculty of Animal Sciences,Royal University of Agriculture,commenced from 10 January to 14 March,2022.The CRD(Completely Randomized Design)was used with 5 treatments and 4 replications.The 500 chicks at one-day-old,local bread,were purchased from farmers who run their small scale hatchery farm.The chicks were kept together till 21 days old,and then were allocated randomly into in five diets(treatments),25 chicks per replication.The feed formulas for this study were designed and calculated to maintain a protein content of approximately 17%,dividing into 5 feed formulas(Treatments),such as concentrated feed only(control treatment:T0),plus 10%of fresh sweet potato vine(T1),plus 20%of fresh sweet potato vine(T2),plus 30%of fresh sweet potato vine(T3)and plus 20%of sweet potato vine meal(T4).The results showed that the treatment T1,had a similar final weight with the treatment T4,but was slightly lower than the treatment T0 which used concentrated feed alone.Feed intake and FCR(Feed Conversion Ratio)were not significantly different among those treatments.In conclusion,the average daily weight gain of chickens seemed to decrease with increasing the level of fresh sweet potato vine.Thus,the optimum level of fresh sweet potato vine was 10%,which may have little effect on the growth performance of local chickens.In addition,it was not far different from the positive control treatment and the treatment using sweet potato vine meal.However,the producers can increase the amount of sweet potato vine in feed formula by processing it into meal and mixing with concentrated feed or using as feed ingredients.

Assessment of dairy cow feed intake based on BP neural network with polynomial decay learning rate

To overcome the shortcomings of traditional dairy cow feed intake assessment model andBP neural network, this paper proposes a method of optimizing BP neural network usingpolynomial decay learning rate, taking the cow’s body weight, lying duration, lying times,walking steps, foraging duration and concentrate-roughage ratio as input variables andtaking the actual feed intake is the output variable to establish a dairy cow feed intakeassessment model, and the model is trained and verified by experimental data collectedon site. For the sake of comparative study, feed intake is simultaneously assessed by SVRmodel, KNN logistic regression model, traditional BP neural network model, and multilayerBP neural network model. The results show that the established BP model using the polynomial decay learning rate has the highest assessment accuracy, the MSPE, RMSE, MAE,MAPE and R2 are 0.043 kg2/d and 0.208 kg/d, 0.173 kg/d, 1.37% and 0.94 respectively. Compared with SVR model and KNN mode, the RMSE value reduced by 43.9% and 26.5%, it isalso found that the model designed in this paper has many advantages in comparison withthe BP model and multilayer BP model in terms of precision and generalization. Therefore,this method is ready to be applied for accurately evaluating the dairy cow feed intake, andit can provide theoretical guidance and technical support for the precise-feeding and canalso be of high significance in the improvement of dairy precise-breeding.

Feed intake prediction model for group fish using the MEA-BP neural network in intensive aquaculture

In aquaculture,the accurate prediction of feed intake for group fish is considered to be crucial to any feeding system.Previous studies mainly used mathematical statistics to establish the mapping relationship between feed intake and influencing factors.The result was easily influenced by subjective experience.To solve the above issues,this paper proposed a feed intake prediction model for group fish using the back-propagation neural network(BPNN)and mind evolutionary algorithm(MEA).Firstly,four factors,including water temperature,dissolved oxygen,the average fish weight and the number of fish were selected as the input of the BPNN model.Secondly,the initial weight and threshold of the BPNN were optimized by the MEA to improve the matching precision.Finally,the prediction model was achieved after training.Experimental results showed that the correlation coefficient between the predicted and measured values reached 0.96.And the root mean squared error,mean square error,mean absolute error,mean absolute percent error of the model was 6.89,47.53,6.17 and 0.04,respectively.In addition,the proposed method also had the better nonlinear fitting ability than BPNN and GA-BP.By using an intelligent optimization algorithm,the mapping relationship between fish intake and environmental factors was automatically established,thus avoiding the subjectivity of traditional methods.Therefore,it can lay a theoretical foundation for the development of intelligent feeding equipment and meet the needs of the smart fishery.

A review of feed efficiency in swine:biology and application

Feed efficiency represents the cumulative efficiency with which the pig utilizes dietary nutrients for maintenance, lean gain and lipid accretion. It is closely linked with energy metabolism, as the oxidation of carbon-containing components in the feed drive all metabolic processes. While much is known about nutrient utilization and tissue metabolism, blending these subjects into a discussion on feed efficiency has proven to be difficult. For example, while increasing dietary energy concentration will almost certainly increase feed efficiency, the correlation between dietary energy concentration and feed efficiency is surprisingly low. This is likely due to the plethora of non-dietary factors that impact feed efficiency, such as the environment and health as well as individual variation in maintenance requirements, body composition and body weight. Nonetheless, a deeper understanding of feed efficiency is critical at many levels. To individual farms, it impacts profitability. To the pork industry, it represents its competitive position against other protein sources. To food economists, it means less demand on global feed resources. There are environmental and other societal implications as well. Interestingly, feed efficiency is not always reported simply as a ratio of body weight gain to feed consumed. This review will explain why this arithmetic calculation, as simple as it initially seems, and as universally applied as it is in science and commerce, can often be misleading due to errors inherent in recording of both weight gain and feed intake. This review discusses the importance of feed efficiency, the manner in which it can be measured and reported, its basis in biology and approaches to its improvement. It concludes with a summary of findings and recommendations for future efforts.

Circulating leptin and its muscle gene expression in Nellore cattle with divergent feed efficiency

Background： Leptin has a strong relation to important traits in animal production, such as carcass composition,feed intake, and reproduction. It is mainly produced by adipose cells and acts predominantly in the hypothalamus.In this study, circulating leptin and its gene expression in muscle were evaluated in two groups of young Nellore bulls with divergent feed efficiency. Individual dry matter intake（DMI） and average daily gain（ADG） of 98 Nellore bulls were evaluated in feedlot for 70 d to determinate the residual feed intake（RFI） and select 20 animals for the high feed efficient（LRFI） and 20 for the low feed efficient（HRFI） groups. Blood samples were collected on d 56 and at slaughter（80 d） to determine circulating plasma leptin. Samples of Longissimus dorsi were taken at slaughter for leptin gene expression levels.Results： DMI and RFI were different between groups and LRFI animals showed less back fat and rump fat thickness,as well as less pelvic and kidney fat weight. Circulating leptin increased over time in all animals. Plasma leptin was greater in LRFI on 56 d and at slaughter（P = 0.0049）. Gene expression of leptin were greater in LRFI animals（P = 0.0022） in accordance with the plasma levels. The animals of the LRFI group were leaner, ate less, and had more circulating leptin and its gene expression.Conclusion： These findings demonstrated that leptin plays its physiological role in young Nellore bulls, probably controlling food intake because feed efficient animals have more leptin and lower residual feed intake.