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Journal articles on the topic 'Average daily gain'

Author: Grafiati

Published: 4 June 2021

Last updated: 24 July 2025

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1

Bansal, G. K., Vishnu Kumar, R. K. Nagda, and Renuka Hada. "Factors affecting average daily gain in Sonadi sheep." Indian Journal of Small Ruminants (The) 28, no. 1 (2022): 20–23. http://dx.doi.org/10.5958/0973-9718.2022.00020.4.

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2

Johansen, Markku, Lis Alban, Helle Dodensig Kjærsgård, and Poul Bækbo. "Factors associated with suckling piglet average daily gain." Preventive Veterinary Medicine 63, no. 1-2 (2004): 91–102. http://dx.doi.org/10.1016/j.prevetmed.2004.01.011.

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3

Nagy, I., J. Farkas, P. Gyovai, I. Radnai, and Z. Szendrő. "Stability of estimated breeding values for average daily gain in Pannon White rabbits." Czech Journal of Animal Science 56, No. 8 (2011): 365–69. http://dx.doi.org/10.17221/2398-cjas.

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Stability of estimated breeding values for average daily gain (ADG) between 5 and 10 weeks of age was analysed for 47 242 Pannon White rabbits, reared in 7470 litters and born between 2000 and 2008. The dataset was divided into 5 successive 5-year periods: (1) 2000&ndash;2004, (2) 2001&ndash;2005, (3) 2002&ndash;2006, (4) 2003&ndash;2007, and (5) 2004&ndash;2008. Then, after selecting the appropriate part of the pedigree for these sub-datasets, genetic parameters and breeding values were estimated for ADG using REML and BLUP methods. In the applied models sex, year-month, a

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4

Mark, D. R., and Ted C. Schroeder. "Effects of weather on average daily gain and profitability." Kansas Agricultural Experiment Station Research Reports, no. 1 (January 1, 2002): 135–38. http://dx.doi.org/10.4148/2378-5977.1748.

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5

Gholizadeh, Mohsen, and Farhad Ghafouri-Kesbi. "Genetic analysis of average daily gain in Baluchi sheep." Meta Gene 13 (September 2017): 119–23. http://dx.doi.org/10.1016/j.mgene.2017.05.009.

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6

Shivley, C. B., N. J. Urie, and J. E. Lombard. "1227 Factors associated with average daily gain in dairy heifer calves on U.S. dairy operations." Journal of Animal Science 94, suppl_5 (2016): 590. http://dx.doi.org/10.2527/jam2016-1227.

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7

Mallick, P. K., I. S. Chauhan, G. R. Gowane, P. Thirumurgan, G. Murali, and Arun Kumar. "Average daily gain and kleiber ratio in Bharat merino sheep." Indian Journal of Small Ruminants (The) 25, no. 2 (2019): 151. http://dx.doi.org/10.5958/0973-9718.2019.00049.7.

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8

Flohr, J. R., S. S. Dritz, M. D. Tokach, J. C. Woodworth, J. M. DeRouchey, and R. D. Goodband. "Development of equations to predict the influence of floor space on average daily gain, average daily feed intake and gain : feed ratio of finishing pigs." Animal 12, no. 5 (2018): 1022–29. http://dx.doi.org/10.1017/s1751731117002440.

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9

Uskenov, Rashit, Togzhan Yengsebek, Zhumagazy Kurzhykaev, Saule Bostanova, and Bakytzhan Akkair. "The relationship between dry matter intake and the average daily gain." BIO Web of Conferences 85 (2024): 01006. http://dx.doi.org/10.1051/bioconf/20248501006.

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The productivity of animals is closely related to the quality of the diet and of dry matter intake. Dry matter intake (DMI) is a factor that needs to be assessed before an animal’s diet can be calculated correctly. Purebred bulls of the Kazakh white-headed breed in the amount of 70 heads of 7-8 months of age were selected for the experiment. By the end of the test, the bulls were about 11-12 months old. The average weight of the bulls when put to the test was 248.47 ± 2.46 kg, at the end of the test their average weight was 319.7 ± 3.44 kg. It is worth noting that the largest average daily inc

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10

Green, T. C., J. G. Jago, K. A. Macdonald, and G. C. Waghorn. "Relationships between residual feed intake, average daily gain, and feeding behavior in growing dairy heifers." Journal of Dairy Science 96, no. 5 (2013): 3098–107. http://dx.doi.org/10.3168/jds.2012-6087.

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11

Lee, Woongsup, Kang-Hwi Han, Hyeon Tae Kim, Heechul Choi, Younghwa Ham, and Tae-Won Ban. "Prediction of average daily gain of swine based on machine learning." Journal of Intelligent & Fuzzy Systems 36, no. 2 (2019): 923–33. http://dx.doi.org/10.3233/jifs-169869.

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12

Lim, Jin-A., Jihye Cha, and Dahye Kim. "Study of gut microbiota changes with average daily gain in piglets." Journal of the Korea Academia-Industrial cooperation Society 24, no. 10 (2023): 762–68. http://dx.doi.org/10.5762/kais.2023.24.10.762.

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13

Gu, Mingjuan, Hongyu Jiang, Fengying Ma, et al. "Multi-Omics Analysis Revealed the Molecular Mechanisms Affecting Average Daily Gain in Cattle." International Journal of Molecular Sciences 26, no. 5 (2025): 2343. https://doi.org/10.3390/ijms26052343.

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The average daily gain (ADG) is a critical index for evaluating growth rates in cattle and is closely linked to the economic benefits of the cattle industry. Heredity is one of the factors affecting the daily gain of cattle. However, the molecular mechanisms regulating ADG remain incompletely understood. This study aimed to systematically unravel the molecular mechanisms underlying the divergence in ADG between high average daily gain (HADG) and low average daily gain (LADG) Angus cattle through integrated multi-omics analyses (microbiome, metabolome, and transcriptome), hypothesizing that the

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14

Flohr, J. R., J. C. Woodworth, M. D. Tokach, S. S. Dritz, J. M. DeRouchey, and R. D. Goodband. "015 Development of equations to predict the influence of floor space on average daily gain, average daily feed intake, and gain-to-feed ratio of finishing pigs." Journal of Animal Science 94, suppl_2 (2016): 7. http://dx.doi.org/10.2527/msasas2016-015.

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15

Fortney, Daytona, Emiline R. Sundman, Nicholas K. Gabler, Suzanne T. Millman, and Anna K. Johnson. "PSII-3 Effect of environmental enrichment on pig average daily feed intake and average daily gain in the early nursery phase." Journal of Animal Science 102, Supplement_3 (2024): 437–38. http://dx.doi.org/10.1093/jas/skae234.495.

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Abstract Transition from the sow to nursery is a stressful time for pigs and commonly leads to negative impacts on pig health, welfare, and lifetime performance. The objective of this study was to determine if the addition of a biologically relevant enrichment device affected average daily gain (ADG) and average daily feed intake (ADFI) during the first 2 wk of nursery. A total of 160 mixed-sex pigs (Camborough 1050 X 337, PIC), 19 to 24 d of age [body weight (BW) = 5.77 SD 0.97 kg], were randomly allocated to pens at the Iowa State University Swine Nutrition Farm. Each pen contained 10 pigs (

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16

Goehring, Devin, Katherine A. McCormick, Julie Mahoney, and Rodney Hinson. "205 Dietary Strategies to Limit Average Daily Gain of Late Finishing Pigs." Journal of Animal Science 99, Supplement_1 (2021): 64. http://dx.doi.org/10.1093/jas/skab054.107.

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Abstract A total of 2,164 pigs [DNA610 x DNA241; initially 100.7 ± 2.14 kg body weight (BW)] were used in a 54.1 ± 3.85-day study to determine dietary strategies to limit average daily gain (ADG) in late finishing pigs raised in a commercial environment. Mixed-sex pens (20.0 ± 0.85 pigs/pen) balanced by initial BW and gender ratio were randomly assigned to 1 of 4 dietary treatments fed ad libitum with 27 replications each: (1) Nutritionally replete corn soybean-meal control (CTRL), (2) Treatment 1 with 21% reduced lysine and other amino acids (AAR), (3) Corn/vitamin/mineral diet (CVM), and (4)

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17

Bangar, Y. C., V. S. Lawar, C. A. Nimbalkar, O. V. Shinde, and R. G. Nimase. "Heritability estimates for average daily gain and kleiber ratio in deccani sheep." Indian Journal of Small Ruminants (The) 24, no. 1 (2018): 18. http://dx.doi.org/10.5958/0973-9718.2018.00005.3.

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18

Muralidharan, J., A. K. Thiruvenkadan, R. Rajendran, L. Arun, and V. Sankar. "Genetic parameters of average daily gain and kleiber ratio in mecheri sheep." Indian Journal of Small Ruminants (The) 28, no. 2 (2022): 267–72. http://dx.doi.org/10.5958/0973-9718.2022.00073.3.

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19

Rodríguez-Estévez, Vicente, Manuel Sánchez-Rodríguez, Antón R. García, and A. Gustavo Gómez-Castro. "Average daily weight gain of Iberian fattening pigs when grazing natural resources." Livestock Science 137, no. 1-3 (2011): 292–95. http://dx.doi.org/10.1016/j.livsci.2010.11.015.

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20

Aktar, S., AKFH Bhuiyan, NG Saha, and MA Hoque. "Effect of bull performance on progeny early growth and genetic relationships between bull and progeny traits." Bangladesh Journal of Animal Science 40, no. 1-2 (2012): 1–7. http://dx.doi.org/10.3329/bjas.v40i1-2.10620.

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Records on four bulls and 96 of their progeny born from 2005 to 2011 with pedigree information were used to estimate the impact of bull performance on progeny early growth and the genetic relationships between traits of bull and their progeny. Traits included in this study were metabolic body weight, feed intake and residual feed intake (RFI) for bull performance and birth weight and average daily gain for progeny performance. The variance and covariance components were estimated by the REML method with the VCE computer program. The metabolic body weight of breeding bulls ranged from 92.88±1.2

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21

Ugwuowo, L. C., and N. H. Anyaokei. "Tolerance of African giant land snails (Archachatina marginata) to varying levels of table Salt." Nigerian Journal of Animal Production 47, no. 4 (2020): 37–43. http://dx.doi.org/10.51791/njap.v47i4.106.

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An experiment was conducted to determine the growth response of African giant land snail Archachatina marginata fed diets containing different levels of sodium chloride. One hundred and twenty snails were subjected to four dietary treatments of T1, T2, T3 and T4 with 0%, 0.25%, 0.5% and 0.75% sodium chloride respectively. The treatments were replicated thrice with 10 snails per replicate. The measured parameters included weight gain, feed intake, shell length, shell circumference and shell thickness. Feed cost, cost of feed per kg weight gain and feed conversion ratio were also calculated. Res

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22

Nguyen, Nguyen Hong, Cam P. McPhee, Claire M. Wade, and Brian G. Luxford. "Genetic parameters and predicted response to selection for lean growth in an Australian commercial nucleus pig herd." Australian Journal of Agricultural Research 51, no. 7 (2000): 833. http://dx.doi.org/10.1071/ar99127.

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Genetic parameters for performance traits in a pig population were estimated using a multi-trait derivative-free REML algorithm. The 2590 total data included 922 restrictively fed male and 1668 ad libitum fed female records. Estimates of heritability (standard error in parentheses) were 0.25 (0.03), 0.15 (0.03), and 0.30 (0.05) for lifetime daily gain, test daily gain, and P2-fat depth in males, respectively; and 0.27 (0.04) and 0.38 (0.05) for average daily gain and P2-fat depth in females, respectively. The genetic correlation between P2-fat depth and test daily gain in males was –0.17 (0.06

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23

Nagy, I., P. Gyovai, I. Radnai, H. Nagyné Kiszlinger, J. Farkas, and Z. Szendrő. "Genetic parameters, genetic trends and inbreeding depression of growth and carcass traits in Pannon terminal line rabbits." Archives Animal Breeding 56, no. 1 (2013): 191–99. http://dx.doi.org/10.7482/0003-9438-56-018.

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Abstract. Genetic parameters, inbreeding depression and genetic trends were estimated for average daily gain between the ages of 5-10 weeks and thigh muscle volume (measured in vivo with computerized tomography) in a group of 22 098 Pannon terminal line rabbits born between 2006 and 2011 and reared in 3 396 litters. The data sets were analysed with bi-variate animal models taking pedigree completeness (complete generation equivalent) into account. By 2011, all rabbits were inbred and the average inbreeding coefficient and complete generation equivalent of the population were 7.69 % and 11.89 %

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24

Haque, MM, MA Hoque, NG Saha, AKFH Bhuiyan, MM Hossain, and MA Hossain. "Selection of Brahman crossbred-breeding bulls based on phenotypic performance." Bangladesh Journal of Animal Science 41, no. 2 (2013): 60–66. http://dx.doi.org/10.3329/bjas.v41i2.14101.

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A beef breed development project was carried out in the Department of Livestock Services (DLS) in 2009 in selected areas of Bangladesh. Under this project, semen of Brahman bulls were imported from the USA and used to inseminate indigenous cows to produce graded calves. The present study was undertaken to select graded Brahman bulls of the aforesaid project for breeding purpose. Using the data of Brahman grade-1 population, 4 (four) bulls were selected based on external appearance, phenotypic performance and libido. Records on 233 Brahman grade-1 calves (127 male and 106 female) were analyzed

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25

Walker, Matthew, Nathan Blake, K. E. ArunKumar, Domingo Mata-Padrino, Ida Holaskova, and Matthew E. Wilson. "PSX-23 Use of time series data in the prediction of beef cattle dry matter intake using machine learning." Journal of Animal Science 102, Supplement_3 (2024): 749–50. http://dx.doi.org/10.1093/jas/skae234.846.

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Abstract Improvements in technology that facilitate the estimation of individual animal dry matter intake (DMI) in any setting, whether in confinement or on pasture, will improve beef cattleproduction and management. Big Data approaches could further enhance DMI estimation. In this work, we improved upon our predictive models by developing variable time series features and forgoing the use of full-test Average Daily Gain, a variable that provides unwanted intake information during model training, in DMI prediction. We implemented the improved time series analysis techniques of first difference

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26

Reshetnikova, A. D., and E. S. Klimova. "Influence of intestinal coccidiosis on weight gain of young cattle." Russian Journal of Parasitology 17, no. 1 (2023): 99–104. http://dx.doi.org/10.31016/1998-8435-2023-17-1-99-104.

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The purpose of the research is to study the effect of coccidiosis infection (cryptosporidiosis, eimeriosis) on the average daily gains in live weight of young cattle.Materials and methods. The studies were carried out on animals spontaneously infected with Eimeria spp. And Cryptosporidium spp. According to the principle of analogues, 4 groups of animals were formed, 10 heads each. In the first experiment, the average daily weight gain of 1-20-day-old animals infected with Cryptosporidium (1st experimental group) and clinically healthy calves (1st control group) was compared. For the second exp

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27

Widharto, Damaryanto, and Gebby Citra Vastu Gumilar. "Substitusi Pakan Komersial dengan Ampas Kecap Ekstrusi dan Ampas Kecap Fermentasi terhadap Performans Ayam Pedaging." Jurnal Pengembangan Penyuluhan Pertanian 17, no. 31 (2020): 1. http://dx.doi.org/10.36626/jppp.v17i31.414.

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The research was conducted to know influence of extruded and fermented soybean pulp in commercial feed in feed consumption, average daily gain and feed conversion. The research use 60 day old chick of broilers which were devided into 4 treatments, that is 1) were given commercial feed without substitution of extruded and fermented soybean pulp (T-0), 2) were given commercial feed with substitution of extruded soybean pulp as much as 5% (T-1), and 3) were given commercial feed with substitution of fermented soybean pulp as much as 5% (T-2). The variables observed feed consumption, average daily

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28

Sari, Anggun Permata, Tri Eko Susilorini, Mashudi Mashudi, and Kuswati Kuswati. "Performance of Male Limousine Crossbreed Cattle by Giving RD Flour at Different Levels." Jurnal Ilmu-Ilmu Peternakan 32, no. 1 (2022): 130–38. http://dx.doi.org/10.21776/ub.jiip.2022.032.01.13.

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The study aimed to evaluate the production performance of male Limousine Crossbreed cattle with different feed levels with the addition of RD flour. It used nine male Limousine crossbreed cattle, aged <1-3 years, with an average initial weight of 335±29,09kg. The method used is an experimental method using CRD with 3x3: T0= Ad libitum corn straw + concentrate without RD powder, T1= Ad libitum corn straw + concentrate containing 7,5% RD, T2= Ad libitum corn straw + concentrate containing 15% RD flour. The variables measured included Daily gain, Average daily gain, feed conversion ratio, and

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29

Amao, Emmanuel Ayodele, Ayodele Olajire Oladipo, and Olujide Adedamola Sokunbi. "Testicular Characteristics and Daily Sperm Production of Rabbit Bucks Fed Diets Containing Neem (Azadirachta Indica A. Juss) Rind Meal." Greener Journal of Agricultural Sciences 3, no. 8 (2013): 623–27. https://doi.org/10.15580/GJAS.2013.8.040213554.

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Forty mixed breed pre – pubertal male rabbits were used to determine the effect of treated (24 hours soaked and 48 hours soaked in water) and untreated neem rind as inclusion at 10% in rabbits diet on performance (final weight gain, average daily weight gain, average daily feed intake and feed to gain ratio), reproductive characteristics and daily sperm production. Data were analyzed using analysis of variance. Significant (p<0.05) reduction was observed for testes weight, paired testes weight, relative testes weight, testes volume, testes density and daily sperm production from bucks

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30

Arias, Rodrigo, Cristobal Santa-Cruz, and Alejandro Velásquez. "Effect of High Potency Growth Implants on Average Daily Gain of Grass-Fattened Steers." Animals 9, no. 9 (2019): 587. http://dx.doi.org/10.3390/ani9090587.

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High potency growth promoter implants (HGPs) are widely used under feedlot conditions but there are few reports under grazing conditions. The study’s goal was to assess the effect of HGPs on the average daily gain of steers fattened in pastures. A total of 57 crossbreed steers (Hereford × Angus)—initial body weight = 356.65 kg ± 5.04 (SEM)—were randomly allocated to one of three groups: Control without HGP (n = 19), Synovex group (n = 17), and Revalor group (n = 21). The fattening period was 67 days using paddocks of Lolium perenne L. and Trifolium repens L. Body weight was recorded three time

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31

Ogunade, Ibukun, Adeoye Oyebade, Bremansu Osa-Andrews, and Sunday Peters. "Plasma Carboxyl-Metabolome Is Associated with Average Daily Gain Divergence in Beef Steers." Animals 11, no. 1 (2021): 67. http://dx.doi.org/10.3390/ani11010067.

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We applied an untargeted metabolomics technique to analyze the plasma carboxyl-metabolome of beef steers with divergent average daily gain (ADG). Forty-eight newly weaned Angus crossbred beef steers were fed the same total mixed ration ad libitum for 42 days. On day 42, the steers were divided into two groups of lowest (LF: n = 8) and highest ADG (HF: n = 8), and blood samples were obtained from the two groups for plasma preparation. Relative quantification of carboxylic-acid-containing metabolites in the plasma samples was determined using a metabolomics technique based on chemical isotope la

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32

Dass, Gopal, Saket Bhusan, Vinay Chaturvedi, M. S. Dige, and P. K. Rout. "Factors affecting post-weaning average daily gain and kleiber ratio in Muzaffarnagari sheep." Indian Journal of Small Ruminants (The) 25, no. 2 (2019): 148. http://dx.doi.org/10.5958/0973-9718.2019.00052.7.

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33

Fontanesi, L., G. Schiavo, G. Galimberti, D. G. Calò, and V. Russo. "A genomewide association study for average daily gain in Italian Large White pigs1." Journal of Animal Science 92, no. 4 (2014): 1385–94. http://dx.doi.org/10.2527/jas.2013-7059.

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34

Hands, M. L., T. T. Marston, L. R. Corah, Christopher D. Reinhardt, and Justin W. Waggoner. "Relationships between feedlot health, average daily gain, and carcass traits of Angus steers." Kansas Agricultural Experiment Station Research Reports, no. 1 (January 1, 2012): 4–7. http://dx.doi.org/10.4148/2378-5977.1405.

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35

Yusuf, Mustapha, Marc L. Bauer, Kendall C. Swanson, and Lauren L. Hulsman Hanna. "343 The Influence of Weather Variables on Average Daily Gain of Beef Steers." Journal of Animal Science 99, Supplement_3 (2021): 190–91. http://dx.doi.org/10.1093/jas/skab235.344.

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Abstract Average daily gain is one of the most important measures producers utilize to measure productivity of beef cattle. The objective was to examine how weather variables influence ADG. Data from 790 beef steers collected using an Insentec feeding system were utilized for this study. Intake data were condensed from daily data into weekly averages (n = 13,739 steer-weeks). The variables considered were ADG (-3.0 to 4.86 kg/d), DMI (2.50 to 21.77kg/d), BW (197.3 to 796.1 kg), dietary energy density (NEm; 1.2 to 2.5 Mcal/kg), average ambient temperature (-23.7 to 21.4 °C), range of temperatur

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36

Park, Byoungho, Taejeong Choi, Jae Gwan Choi, et al. "Estimation of Genetic Parameters for Average Daily Gain and Carcass Traits of Hanwoo." Journal of Animal Science and Technology 54, no. 5 (2012): 317–21. http://dx.doi.org/10.5187/jast.2012.54.5.317.

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Chen, C. Y., S. D. Kachman, R. K. Johnson, S. Newman, and L. D. Van Vleck. "Estimation of genetic parameters for average daily gain using models with competition effects." Journal of Animal Science 86, no. 10 (2008): 2525–30. http://dx.doi.org/10.2527/jas.2007-0660.

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38

Lim, Jin-A., Nam-Young Kim, Soyoung Choi, Haesu Ko, and Dahye Kim. "Changes in Gut Microbial Composition According to Average daily gain of Nursing Piglets." Journal of the Korea Academia-Industrial cooperation Society 25, no. 12 (2024): 71–78. https://doi.org/10.5762/kais.2024.12.25.12.71.

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Lim, Jin-A., Nam-Young Kim, Soyoung Choi, Haesu Ko, and Dahye Kim. "Changes in Gut Microbial Composition According to Average daily gain of Nursing Piglets." Journal of the Korea Academia-Industrial cooperation Society 25, no. 12 (2024): 71–78. https://doi.org/10.5762/kais.2024.25.12.71.

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40

Tulinova, O., and F. Yakimov. "Influence of average daily gain of heifers on the age of first insemination." Genetics and breeding of animals, no. 2 (November 6, 2024): 60–66. http://dx.doi.org/10.31043/2410-2733-2024-2-60-66.

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The purpose of this study is to establish the influence of average daily gain (ADG) of heifers at different periods of their development on the age of 1st insemination (A1ins) at 12, 13, 14, 15, 16, 17, 18 months and older and milk yield of first-calving cows for 305 days of lactation according to a sample (n=1289) formed from the Seleсs database of one of the breeding plants in the Leningrad region for breeding the Ayrshire breed of dairy cattle. On average for the sample, the correlation coefficient of milk yield with A1ins indicates a negative relationship between these two characteristics

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41

Reinhardt, C. D., M. L. Hands, T. T. Marston, J. W. Waggoner, and L. R. Corah. "Relationships between feedlot health, average daily gain, and carcass traits of Angus steers1." Professional Animal Scientist 28, no. 1 (2012): 11–19. http://dx.doi.org/10.15232/s1080-7446(15)30311-9.

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42

St-Pierre, Normand, Kleber Tomás de Resende, and Antonello Cannas. "Prediction of intake and average daily gain by different feeding systems for goats." Small Ruminant Research 98, no. 1-3 (2011): 93–97. http://dx.doi.org/10.1016/j.smallrumres.2011.03.024.

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43

PRAKASH, VED, L. L. L. PRINCE, G. R. GOWANE, and A. L. ARORA. "Factors affecting post-weaning average daily gain and Kleiber ratios in Malpura sheep." Indian Journal of Animal Sciences 82, no. 12 (2012): 1598–600. http://dx.doi.org/10.56093/ijans.v82i12.25705.

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The objective of this study was to determine effect of environmental factors on estimates of post-weaning growth traits. Study suggested that as the age advances growth rate and feed conversion efficiency declines in Malpura sheep. Hence, for higher economic gain selection should be made at earlier age, preferably at 6 month. Rearing male lambs can be more profitable as they achieved higher growth and better feed conversion efficiency. For unbiased estimates of breeding values, correction factors for significant non-genetic factors must be incorporated.

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44

Mezgebo, G. B., F. J. Monahan, M. McGee, et al. "Compositional, organoleptic, metabolic enzyme activity and fibre characteristics of muscle from bulls with different growth paths to a common carcass weight." Animal Production Science 58, no. 10 (2018): 1940. http://dx.doi.org/10.1071/an16830.

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The proximate composition, organoleptic quality, metabolic enzyme activity and fibre characteristics of longissimus thoracis muscle from suckler bulls assigned to three target indoor winter (from 9 to 13 months of age approximately) growth rates (average daily gain of 0.6, 1.0 and 1.5 kg; n = 14/group) were investigated. The feeding regimes to achieve the target average daily gains were 2, 4 and 6 kg of concentrate respectively, plus grass silage ad libitum. The duration of the winter feeding period was 123 days, after which bulls were turned out to pasture and grazed for 99 days before re-hou

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IVAN, RADOVIĆ, TRIVUNOVIĆ SNEŽANA, STANČIĆ IVAN, STANČIĆ BLAGOJE, DRAGIN SAŠA, and UROŠEVIĆ MIROSLAV. "THE FEED CONVERSION, DAILY GAIN, AVERAGE BACKFAT THICKNESS AND MEAT PERCENTAGE IN PERFORMANCE TEST OF LANDRACE BOARS." Contemporary Agriculture (2012) 61, no. 1-2 (2012): 44–53. https://doi.org/10.5281/zenodo.7260838.

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This paper analyzes the characteristics of the performance test and Landrace boars to: Dutch, Swedish, German and Danish, originating from large farms in Serbia in order to analyze the variability of different characteristics of the aggregate genotype: feed conversion, daily gain and thickness of the back side of bacon and lean meat. Systemic genetic factors (race and fathers) and environmental factors (farm) have a highly significant effect (P<0.01) on the properties of the aggregate genotype (feed conversion and meat percentage) except for the traits daily gain and backfat thickness of th

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SAMSONOVA, O. E., and V. A. BABUSHKIN. "FISH MEAL IN THE DIET OF WEANING PIGS." PIG-BREEDING, no. 3 (2022): 36–38. http://dx.doi.org/10.37925/0039-713x-2022-3-36-38.

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The influence of fishmeal in the diet of weaned piglets on the indicators of average daily gain was studied. It was found that the inclusion of fishmeal led to an increase in the average daily gain and feed conversion in the starting period from 27 to 51 days.

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Shivley, C. B., J. E. Lombard, N. J. Urie, et al. "Preweaned heifer management on US dairy operations: Part VI. Factors associated with average daily gain in preweaned dairy heifer calves." Journal of Dairy Science 101, no. 10 (2018): 9245–58. http://dx.doi.org/10.3168/jds.2017-14022.

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Belaya, E. V., I. S. Beyshova, M. I. Selionova, V. S. Birg, and K. I. Snagoschenko. "HERC3 GENE AS A GENETIC MARKER OF AVERAGE DAILY GAIN IN KAZAKH WHITE-HEADED CATTLE." Transactions of the educational establishment “Vitebsk the Order of “the Badge of Honor” State Academy of Veterinary Medicine 59, no. 3 (2023): 43–48. http://dx.doi.org/10.52368/2078-0109-2023-59-3-43-48.

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As a result of GWAS performed using a single-locus linear model on the basis of the data obtained using the GeneSeek GGP Bovine 150 K chip for 790 bulls of the Kazakh White-headed breed. 81 SNPs associated with the average daily gain were established, of which 66 SNPs are located within 29 protein-coding genes. The biological pathways through which the candidate genes are included in the control of the development of the sign of average daily gain in the young stock of the Kazakh White-headed breed have been characterized. The HERC3 gene, for which 12 SNPs have been identified, is considered a

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Achi, Jessica, Neyu Achi, and Iliya Mallam. "Performance of growing rabbit bucks and does fed diets supplemented with brewers dried grains." ANIMAL SCIENCE AND GENETICS 19, no. 1 (2023): 21–29. http://dx.doi.org/10.5604/01.3001.0016.2940.

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The study was conducted to at the rabbitry unit of the National Animal Production Research Institute/Ahmadu Bello University, Shika-Zaria to evaluate the performance of growing rabbit bucks and does fed diets supplemented with brewers dried grain (BDG). Forty rabbits growing rabbits aged between 6 to 7 weeks of age, with initial average weight of 0.75Kg were randomly assigned to four dietary treatments (0%, 20%, 30% and 40% BDG) in a completely randomized design (CRD) with five rabbits in each treatment. The experimental diet and clean drinking water were supplied ad libtum during the experime

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Francoz, D., S. Buczinski, A. M. Bélanger, et al. "Respiratory Pathogens in Québec Dairy Calves and Their Relationship with Clinical Status, Lung Consolidation, and Average Daily Gain." Journal of Veterinary Internal Medicine 29, no. 1 (2015): 381–87. http://dx.doi.org/10.1111/jvim.12531.

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