How to improve breeding value prediction for feed conversion ratio in the case of incomplete longitudinal body weights

2017 ◽  
Vol 95 (1) ◽  
pp. 39
Author(s):  
V. H. Huynh Tran ◽  
H. Gilbert ◽  
I. David
Keyword(s):  
Conversion Ratio ◽  
Feed Conversion Ratio ◽  
Breeding Value ◽  
Feed Conversion ◽  
Value Prediction ◽  
Body Weights

Daily methane emissions and emission intensity of grazing beef cattle genetically divergent for residual feed intake

2017 ◽  
Vol 57 (4) ◽  
pp. 627 ◽  
Author(s):  
J. I. Velazco ◽  
R. M. Herd ◽  
D. J. Cottle ◽  
R. S. Hegarty
Keyword(s):  
Feed Intake ◽  
Emission Intensity ◽  
Dry Matter ◽  
Average Daily Gain ◽  
Residual Feed Intake ◽  
Conversion Ratio ◽  
Feed Conversion Ratio ◽  
Breeding Value ◽  
Dry Matter Intake ◽  
Feed Conversion

As daily methane production (DMP; g CH4/day) is strongly correlated with dry matter intake (DMI), the breeding of cattle that require less feed to achieve a desired rate of average daily gain (ADG) by selection for a low residual feed intake (RFI) can be expected to reduce DMP and also emission intensity (EI; g CH4/kg ADG). An experiment was conducted to compare DMP and EI of Angus cattle genetically divergent for RFI and 400-day weight (400dWT). In a 6-week grazing study, 64 yearling-age cattle (30 steers, 34 heifers) were grazed on temperate pastures, with heifers and steers grazing separate paddocks. Liveweight (LW) was monitored weekly and DMP of individual cattle was measured by a GreenFeed emission monitoring unit in each paddock. Thirty-nine of the possible 64 animals had emission data recorded for 15 or more days, and only data for these animals were analysed. For these cattle, regression against their mid-parent estimated breeding value (EBV) for post-weaning RFI (RFI-EBV) showed that a lower RFI-EBV was associated with higher LW at the start of experiment. Predicted dry matter intake (pDMI), predicted DMP (pDMP) and measured DMP (mDMP) were all negatively correlated with RFI-EBV (P < 0.05), whereas ADG, EI, predicted CH4 yield (pMY; g CH4/kg DMI) were not correlated with RFI-EBV (P > 0.1). Daily CH4 production was positively correlated with animal LW and ADG (P < 0.05). The associations between ADG and its dependent traits EI and pMY and predicted feed conversion ratio (kg pDMI/kg ADG) were strongly negative (r = –0.82, –0.57 and –0.85, P < 0.001) implying that faster daily growth by cattle was accompanied by lower EI, MY and feed conversion ratio. These results show that cattle genetically divergent for RFI do not necessarily differ in ADG, EI or pMY on pasture and that, if heavier, cattle with lower RFI-EBV can actually have higher DMP while grazing moderate quality pastures.

scholarly journals Comparative Study On The Productivity And Profitability Of Commercial Broiler, Cockerel Of A Layer Strain And Cross-Bred (Rir × Fayoumi) Chicks

1970 ◽  
Vol 37 (2) ◽  
pp. 89-98 ◽  
Author(s):  
PK Sarkar ◽  
SD Chowdhury ◽  
MH Kabir ◽  
PK Sarker
Keyword(s):  
Conversion Ratio ◽  
Feed Conversion Ratio ◽  
Feed Conversion ◽  
Target Weight ◽  
Treatment Groups ◽  
Maximum Profit ◽  
Body Weights ◽  
Commercial Broiler ◽  
Ad Libitum ◽  
Live Bird

An experiment was conducted to compare the productivity and profitability of commercial broiler, cockerel and cross-bred (F1 RIR ? × Fayoumi ?) chicks up to target body weights of 850, 1000 and 1250g. Two hundred sixteen birds of 3 genotypes each of 72 birds having 18 chicks in each replication were considered. Commercial broiler starter diet was fed to experimental birds ad libitum. Similar care and management were provided to birds of all treatment groups. Commercial broilers attained the target weights of 850, 1000 and 1250g at the age of 21, 24 and 28 days respectively whereas cockerels attained weights close to those targets at 56, 63 and 74 days respectively and in the case of cross-breds, the days were 63, 77 and 90 for those target weights respectively. Feed conversion ratio (FCR) was best in broilers, followed by cockerels and cross-bred chicks respectively. The highest mortality (8.3%) was found in cross-bred group when reared up to target weight of 1250g. The mortality of broiler was 1.4% and no bird was died in cockerel group. Broiler was most profitable (21.11 Tk/kg live bird) at the target weight of 1250g whereas profit from cockerel varied little (21.78, 21.07 and 21.63 Tk/kg live bird against the target weights of 850, 1000 and 1250g respectively) amoung target weights. Therefore, appropriate weight to market these birds was at 850g to minimize the risk of diseases and other management works. Marketing of cross-bred chicks was most profitable (8.43 Tk/kg live bird) at 850g target weight and loss was incurred when rearing was continued up to 1250g. On the basis of results of productivity, it was concluded that commercial broiler, cockerel and cross-bred chicks could be reared upto 28, 56 and 63 days respectively to reach target weights close to 1250, 850 and 850g respectively to obtain maximum profit.? DOI: http://dx.doi.org/10.3329/bjas.v37i2.9886 BJAS 2008; 37(2): 89-98

scholarly journals Investigation of muscle transcriptomes using gradient boosting machine learning identifies molecular predictors of feed efficiency in growing pigs

2019 ◽  
Author(s):  
Farouk Messad ◽  
Isabelle Louveau ◽  
Basile Koffi ◽  
Hélène Gilbert ◽  
Florence Gondret
Keyword(s):  
Feed Efficiency ◽  
Conversion Ratio ◽  
Growing Pigs ◽  
Feed Conversion Ratio ◽  
Breeding Value ◽  
Gradient Boosting ◽  
Mrna Levels ◽  
Feed Conversion ◽  
Expression Levels ◽  
Muscle Genes

Abstract Background Improving feed efficiency (FE) is a major challenge in pig production. This complex trait is characterized by a high variability. Therefore, the identification of predictors of FE may be a relevant strategy to reduce phenotyping efforts in breeding and selection programs. The aim of this study was to investigate the suitability of expressed muscle genes in prediction of FE traits in growing pigs. The approach considered different transcriptomics experiments to cover a large range of FE values and identify reliable predictors. Results Microarrays data were obtained from longissimus muscles of two lines divergently selected for residual feed intake (RFI). Pigs (n = 71) from three experiments belonged to generations 6 to 8 of selection, were fed either a diet with a standard composition or a diet rich in fiber and lipids, received feed ad libitum or at restricted level, and weighed between 80 and 115 kg at slaughter. For each pig, breeding value for RFI was estimated (RFI-BV), and feed conversion ratio (FCR) and energy-based feed conversion ratio (FCRe) were calculated during the test periods. Gradient boosting algorithms were used on the merged muscle transcriptomes to identify very important predictors of FE traits. About 20,405 annotated molecular probes were commonly expressed in longissimus muscle across experiments. Six to 267 expressed muscle genes covering a variety of biological processes were found as important predictors for RFI-BV (R2=0.63-0.65), FCR (R2=0.61-0.70) and FCRe (R2=0.49-0.52). The error of prediction was less than 8% for FCR. Altogether, 56 predictors were common to RFI-BV and FCR. Expression levels of 24 target genes were further measured by qPCR. Linear regression confirmed the good accuracy of combining mRNA levels of these genes to fit FE traits (RFI-BV: R2=0.73, FRC: R2=0.76; FCRe: R2=0.75). Stepwise regression procedure highlighted 10 genes (FKBP5, MUM1, AKAP12, FYN, TMED3, PHKB, TGF, SOCS6, ILR4, and FRAS1) in a linear combination predicting FCR and FCRe. In addition, FKBP5 and expression levels of five other genes (IGF2, SERINC3, CSRNP3, EZR and RPL16) significantly contributed to RFI-BV. Conclusion It was possible to identify few genes expressed in muscle that might be reliable predictors of feed efficiency.

scholarly journals Investigation of muscle transcriptomes using gradient boosting machine learning identifies molecular predictors of feed efficiency in growing pigs

2019 ◽  
Author(s):  
Farouk Messad ◽  
Isabelle Louveau ◽  
Basile Koffi ◽  
Hélène Gilbert ◽  
Florence Gondret
Keyword(s):  
Feed Efficiency ◽  
Conversion Ratio ◽  
Growing Pigs ◽  
Feed Conversion Ratio ◽  
Breeding Value ◽  
Gradient Boosting ◽  
Mrna Levels ◽  
Feed Conversion ◽  
Expression Levels ◽  
Muscle Genes

Abstract Background Improving feed efficiency (FE) is a major challenge in pig production. This complex trait is characterized by a high variability. Therefore, the identification of predictors of FE may be a relevant strategy to reduce phenotyping efforts in breeding and selection programs. The aim of this study was to investigate the suitability of expressed muscle genes in prediction of FE traits in growing pigs. The approach considered different transcriptomics experiments to cover a large range of FE values and identify reliable predictors. Results Microarrays data were obtained from longissimus muscles of two lines divergently selected for residual feed intake (RFI). Pigs (n = 71) from three experiments belonged to generations 6 to 8 of selection, were fed either a diet with a standard composition or a diet rich in fiber and lipids, received feed ad libitum or at restricted level, and weighed between 80 and 115 kg at slaughter. For each pig, breeding value for RFI was estimated (RFI-BV), and feed conversion ratio (FCR) and energy-based feed conversion ratio (FCRe) were calculated during the test periods. Gradient boosting algorithms were used on the merged muscle transcriptomes to identify very important predictors of FE traits. About 20,405 annotated molecular probes were commonly expressed in longissimus muscle across experiments. Six to 267 expressed muscle genes covering a variety of biological processes were found as important predictors for RFI-BV (R2=0.63-0.65), FCR (R2=0.61-0.70) and FCRe (R2=0.49-0.52). The error of prediction was less than 8% for FCR. Altogether, 56 predictors were common to RFI-BV and FCR. Expression levels of 24 target genes were further measured by qPCR. Linear regression confirmed the good accuracy of combining mRNA levels of these genes to fit FE traits (RFI-BV: R2=0.73, FRC: R2=0.76; FCRe: R2=0.75). Stepwise regression procedure highlighted 10 genes (FKBP5, MUM1, AKAP12, FYN, TMED3, PHKB, TGF, SOCS6, ILR4, and FRAS1) in a linear combination predicting FCR and FCRe. In addition, FKBP5 and expression levels of five other genes (IGF2, SERINC3, CSRNP3, EZR and RPL16) significantly contributed to RFI-BV. Conclusion It was possible to identify few genes expressed in muscle that might be reliable predictors of feed efficiency.

Effect of Different Floor Types on Growth Performance and Feed Conversion Ratio of Mehsana Goat Kids

2020 ◽  
Vol 16 (01) ◽  
pp. 37-40
Author(s):  
Jigar V. Patel ◽  
Haresh D Chauhan ◽  
Amit Kumar Srivastava ◽  
Mahesh M Pawar ◽  
Vikram K Patel
Keyword(s):  
Growth Performance ◽  
Disease Incidence ◽  
Conversion Ratio ◽  
Feed Conversion Ratio ◽  
Production Performance ◽  
Parasitic Infestation ◽  
Feed Conversion ◽  
Standard Management ◽  
Body Weights ◽  
Daily Body Weight

This study was done to evaluate the effect of different floor types on growth performance and feed conversion ratio of weaned Mehsana goat kids for a period of 84 days. Twenty-seven weaned (3 months old) Mehsana goat kids having nearly identical body weights (10-12 kg) were randomly divided into three uniform groups having 9 kids (4 males and 5 females) in each group and reared on three different types of floors, viz., group A: katcha floor, B: bricks floor, and C: concrete floor. All the kids were reared under standard management system of goat rearing with strict hygiene and various parameters of production performance were recorded. Mean body weights in kids of groups A, B and C were 13.56±0.25, 13.60±0.26, and 13.87±0.27 kg, respectively. The corresponding average daily body weight gains were 35.89±2.74, 34.08±2.24, 39.23±4.10 g/day and feed conversion ratio 09.95±0.70, 08.99±0.52, 08.92±0.81, respectively. The differences among treatment groups were found non-significant for all three parameters. Incidences of disease occurrence and parasitic infestation were not noticed in kids of any group. It may be concluded that provision of different floor types, viz., katcha, bricks and concrete had no significant effect on growth performance, feed conversion ratio, disease incidence and parasitic infestation in the Mehsana kids. Further, from the study it may be inferred that economically weaker farmers may rear their kids on katcha floor with strict hygiene and attain the growth rate at par with other flooring systems.

Response to selection and genotype–environment interaction in mink (Neovison vison) selected on ad libitum and restricted feeding

2011 ◽  
Vol 91 (2) ◽  
pp. 231-237 ◽  
Author(s):  
Vivi Hunnicke Nielsen ◽  
Steen Henrik Møller ◽  
Bente Krogh Hansen ◽  
Peer Berg
Keyword(s):  
Conversion Ratio ◽  
Feed Conversion Ratio ◽  
Breeding Value ◽  
Environment Interaction ◽  
Restricted Feeding ◽  
Response To Selection ◽  
Feed Conversion ◽  
Genotype Environment Interaction ◽  
Ad Libitum ◽  
Ad Libitum Feeding

Nielsen, V. H., Møller, S. H., Hansen, B. K. and Berg, P. 2011. Response to selection and genotype-environment interaction in mink (Neovison vison) selected on ad libitum and restricted feeding. Can. J. Anim. Sci. 91: 231–237. Mink were selected for high November weight (AL line) and low feed conversion ratio (FC line) on ad libitum feeding and for high November weight on restricted feeding (RF line). After three generations of selection, the average estimated breeding value for November weight was 533, 326, and 150 g in males and 168, 82, and −85 g in females in the AL, RF, and FC lines. The breeding value for feed conversion ratio was −1.39, −0.84 and −0.68 kg feed kg−1 gain in males and −0.39, −0.31 and −0.23 kg feed kg−1 gain in females in the selection lines. In generation 4, the AL, RF and FC lines were tested on both ad libitum and restricted feeding. The estimated breeding value for November weight in males in the AL line (533 g) was significantly greater than that in the RF line (384 g) on ad libitum feeding. The corresponding values on restricted feeding were 297 and 326 g, respectively, which were not significantly different. This indicates genotype×environment interaction. In the AL line, selection improved feed conversion ratio by increased appetite. In the RF line, it was improved by increased feed utilization. Environmental sensitivity in males, estimated from breeding values for November weight was 236 g in the AL line and 58 g in the RF line suggesting that the RF line was more robust to changes in feeding conditions. A smaller litter size in the AL line (4.1) than in the RF line (5.6) indicates that selection for large weight affects reproduction.

scholarly journals Investigation of muscle transcriptomes using gradient boosting machine learning identifies molecular predictors of feed efficiency in growing pigs

2019 ◽  
Author(s):  
Farouk Messad ◽  
Isabelle Louveau ◽  
Basile Koffi ◽  
Hélène Gilbert ◽  
Florence Gondret
Keyword(s):  
Feed Efficiency ◽  
Conversion Ratio ◽  
Growing Pigs ◽  
Feed Conversion Ratio ◽  
Breeding Value ◽  
Gradient Boosting ◽  
Mrna Levels ◽  
Feed Conversion ◽  
Expression Levels ◽  
Muscle Genes

Abstract Background Improving feed efficiency (FE) is a major challenge in pig production. This complex trait is characterized by a high variability. Therefore, the identification of predictors of FE may be a relevant strategy to reduce phenotyping efforts in breeding and selection programs. The aim of this study was to investigate the suitability of expressed muscle genes in prediction of FE traits in growing pigs. The approach considered different transcriptomics experiments to cover a large range of FE values and identify reliable predictors. Results Microarrays data were obtained from longissimus muscles of two lines divergently selected for residual feed intake (RFI). Pigs (n = 71) from three experiments belonged to generations 6 to 8 of selection, were fed either a diet with a standard composition or a diet rich in fiber and lipids, received feed ad libitum or at restricted level, and weighed between 80 and 115 kg at slaughter. For each pig, breeding value for RFI (RFI-BV) was estimated, and feed conversion ratio (FCR) and energy-based feed conversion ratio (FCRe) were calculated during the test periods. Gradient boosting algorithms were used on the merged muscle transcriptomes to identify very important predictors of FE traits. About 20,405 annotated molecular probes were commonly expressed in longissimus muscle across experiments. Six to 267 expressed muscle genes covering a variety of biological processes were found as important predictors for RFI-BV (R2=0.63-0.65), FCR (R2=0.61-0.70) and FCRe (R2=0.49-0.52). The error of prediction was less than 8% for FCR. Altogether, 56 predictors were common to RFI-BV and FCR. Expression levels of 24 target genes were further measured by qPCR. Linear regression confirmed the good accuracy of combining mRNA levels of these genes to fit FE traits (RFI-BV: R2=0.73, FRC: R2=0.76; FCRe: R2=0.75). Stepwise regression procedure highlighted 10 genes (FKBP5, MUM1, AKAP12, FYN, TMED3, PHKB, TGF, SOCS6, ILR4, and FRAS1) in a linear combination predicting FCR and FCRe. In addition, FKBP5 and expression levels of five other genes (IGF2, SERINC3, CSRNP3, EZR and RPL16) significantly contributed to RFI-BV. Conclusion It was possible to identify few genes expressed in muscle that might be reliable predictors of feed efficiency.

PREDICTION OF DAILY GAIN, BACKFAT THICKNESS AND FEED CONVERSION RATIO AMONG CROSSBRED TERMINAL SIRES BETWEEN PUREBRED DUROC, PIETRAIN, AND LANDRACE BY CBE 4.0 SOFTWARE

2018 ◽  
Vol 1 (29) ◽  
pp. 72-81
Author(s):  
Hop Van Nguyen ◽  
Tinh Huu Nguyen ◽  
Hoa Van Tran ◽  
Kinh Van La
Keyword(s):  
Research And Development ◽  
High Reliability ◽  
Conversion Ratio ◽  
Feed Conversion Ratio ◽  
Backfat Thickness ◽  
Feed Conversion ◽  
Significant Difference ◽  
Pig Farm ◽  
Development Center ◽  
Daily Gain

The objective of the study is to compare the practical results with the predicted results by Crossbreeding Effects (CBE) software on pig crossbred based on daily gain, backfat thickness and feed conversion ratio. Another purpose of this study is to predict those three traits among some expected hybridization. This research was conducted on pig farm at Binh Thang Research and Development center from 2013 to 2017. In this study, for each pair of purebred Duroc and Pietrain, Duroc and Landrace, Pietrain and Landrace, twelve hybridizations were analyzed, nine unhybridizations were predicted by CBE software. The results showed that there was no significant difference between the predicted and actual data. With some unhybridization crossbred , the predictions showed high reliability (P<0.05). Based on the predicted data of CBE software , some traits of the crossbred animals would not be improved, therefore, it was not necessary to conduct these hybridizations

scholarly journals KAJIAN PEMANFAATAN SEKAM PADI YANG DIFERMENTASI EFFECTIVE MICROORGANISM-4 (EM-4) DISUPLEMENTASI DAUN SIRIH (Piper betle L) TERHADAP PERFORMANS DAN KARKAS ITIK BALI UMUR 22 MINGGU

2018 ◽  
Vol 21 (3) ◽  
pp. 96
Author(s):  
Partama I. B. G. ◽  
T. G. Belawa Yadnya ◽  
A. A. A. S. Trisnadewi ◽  
A. A. P. P. Wibawa ◽  
I. M. Mudita
Keyword(s):  
Conversion Ratio ◽  
Feed Conversion Ratio ◽  
Piper Betle ◽  
Feed Conversion ◽  
Effective Microorganism

Penelitian bertujuan untuk mengetahui pengaruh pemanfaatan sekam padi difermentasi larutan EffectiveMicroorganism-4 (EM-4) dalam ransum disuplementasi daun sirih (Piper betle L.) terhadap performans dan karkasitik bali betina, umur 22 minggu. Penelitian menggunakan rancangan acak lengkap dengan lima perlakuan yaituransum tanpa sekam padi (A), ransum mengandung 12,50% sekam padi (B), ransum mengandung 12,50 % sekampadi difermentasi EM-4 (C), ransum mengandung 12,50% sekam padi dan daun sirih (D), serta ransum 12,50%sekam padi difermentasi EM-4 dan daun sirih (E). Setiap perlakuan terdiri atas empat ulangan dan setiap ulanganberisi lima ekor ituik bali betina, Variabel yang diamati konsumsi ransum, konsumsi antioksidan ransum, bobotbadan akhir, pertambahan bobot badan, feed conversion ratio dan karkas meliputi bobot potong, bobot karkas danpersentase karkas. Hasil penelitian menunjukkan bahwa pemberian 12,50 % sekam padi difermentasi EM-4 sertadisuplementasi daun sirih tidak berpengaruh terhadap konsumsi ransum(P>0,05), namun dapat menghasilkanbobot badan akhir, pertambahan bobot badan lebih tinggi (P<0,05), serta FCR yang lebih rendah (P<0,05) sertabobot karkas dan persentase karkas yang lebih baik daripada perlakuan yang lainnya. Dapat disimpulkan bahwapemberian sekam padi yang difermentasi EM-4 serta disuplementasi daun sirih dapat memperbaiki performansdan karkas yang lebih baik daripada perlakuan yang lainnya.

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