scholarly journals Futteraufnahme und Fressverhalten wachsender Lämmer – 2. Mitteilung: genetische Korrelationen zwischen der Futteraufnahme und Leistungsmerkmalen

2008 ◽  
Vol 51 (4) ◽  
pp. 372-380
Author(s):  
E. Gernand ◽  
R. Wassmuth ◽  
H. Lenz ◽  
C. Mendel

Abstract. Title of the paper: Feed intake and eating behaviour of growing lambs. 2nd communication: genetic correlations between feed intake and performance traits In the present study genetic correlations between feed intake, feed efficiency and daily feed intake on one hand and fattening performance, carcass quality and fertility on the other hand were estimated. Data were collected in the test stations “Schöndorf”/Thuringia and in “Grub”/Bavaria as well as in stud book farms in Thuringia and Bavaria. Fattening performance and carcass quality were measured on 4,397 and 2,264 lambs, respectively, in Schöndorf and 1,292 lambs in Grub. The genetic correlation between feed efficiency and the number of lambs born alive (LGL) was in Thuringia rA = −0.35, but in Bavaria −0.03 only. Further, the genetic correlations between daily feed intake and LGL were different with 0.29 in Thuringia and −0.20 in Bavaria. But the standard errors of the estimates were high due to an insufficient genetic linkage between data from station testing (fattening performance, carcass quality) and from field testing (fertility). Therefore, the results have to be considered as tendencies. A high feed intake during the whole test period led to better daily gain. The genetic relationships between feed intake and carcass quality were indifferent. When using feed intake or efficiency for breeding value estimation and selection no basically problems have to be expected.

2008 ◽  
Vol 51 (4) ◽  
pp. 366-371 ◽  
Author(s):  
R. Wassmuth ◽  
E. Gernand ◽  
H. Lenz ◽  
C. Mendel

Abstract. Title: Feed intake and eating behaviour of growing lambs, 1st communication: heritabilities and genetic correlations In the test stations “Grub” (Bavaria) and “Schöndorf” (Thuringia) data were collected on lambs of the breeds Merinolandschaf and Merino Longwool. Feed intake during the whole test period (FAP), feed efficiency (FAW), daily feed intake (TFM), the number of daily visits (TBH) and eating time (TBD) of lambs were measured. In total, data from 1,608 lambs with 37,161 daily records in “Grub” and 1,424 lambs with 35,356 daily records in “Schöndorf” were included. The aim of the present study was to estimate heritabilities and genetic correlations for different traits of feed intake and eating behaviour. In “Schöndorf” the heritability of FAP and FAW was 0.29 and 0.32, respectively. In the test station “Grub” the heritability of the same traits was 0.58 and 0.57, respectively. The heritability of TBH, TBD and TFM were 0.33, 0.25 and 0.05, respectively, in “Schöndorf” and 0.49, 0.36 and 0.10, respectively, in “Grub”. The genetic correlations between the eating behaviour traits TBH and TBD on one hand and feed intake (FAP, FAW, TFM) on the other hand were low. It could be concluded that feed intake as well as eating behaviour showed considerable variances and heritabilities. Further, eating behaviour was not a good indicator of feed intake.


2016 ◽  
Vol 96 (3) ◽  
pp. 448-455 ◽  
Author(s):  
Y. Mu ◽  
G. Vander Voort ◽  
M.K. Abo-Ismail ◽  
R. Ventura ◽  
J. Jamrozik ◽  
...  

With selection in beef cattle now incorporating feed efficiency, knowing the relationship with other traits is needed. Genetic relationships were estimated with an animal model in ASReml with a three-generation pedigree inclusive of 2882 animals. Multibreed data from two Ontario beef research farms with fertility traits were available on 1366 females and postweaning traits, including feed efficiency on 1297 individuals. Estimates of heritability for fertility traits were low to moderate ranging from 0.03 ± 0.01 for pregnancy rate to 0.21 ± 0.02 for gestation length, and postweaning traits were moderate to high with feed conversion ratio at 0.22 ± 0.06 to mid-metabolic weight at 0.89 ± 0.01. Both dry matter intake and mid-metabolic weight were genetically correlated with most fertility traits from −0.52 to 0.34. The genetic correlation between average daily gain and days to calving was moderately negative (–0.33 ± 0.16) as was residual feed intake with days to calving (–0.34 ± 0.17). Bigger cows with more feed intake and faster growth were more fertile, and residual feed intake had an unfavorable genetic correlation with days to calving, indicating that programs to select for feed efficiency should include fertility simultaneously in a selection index.


2020 ◽  
Vol 100 (4) ◽  
pp. 781-785 ◽  
Author(s):  
C.A. Olson ◽  
C. Li ◽  
H. Block ◽  
L. McKeown ◽  
J.A. Basarab

The objectives of this study were to identify the phenotypic and genetic relationships and heritability (h2) of feeding behaviours (FB) in replacement beef females. Between 2005 and 2017, heifers (N = 1394) were tested for feed intake using an electronic feed bunk system. The various FB were feeding duration (DUR; min d−1), head down time (HD; min d−1), feeding frequency (FREQ; events d−1), time-to-bunk (TTB; min). Dry matter intake (DMI; kg d−1), and residual feed intake adjusted for off-test ultrasound back fat thickness (RFIFAT) were also reported. The h2 estimates for DUR, HD, FREQ, TTB, DMI, and RFIFAT were 0.25 ± 0.05, 0.26 ± 0.06, 0.27 ± 0.05, 0.29 ± 0.06, 0.26 ± 0.05, and 0.40 ± 0.07, respectively. These are the first h2 to be presented for these FB among developing replacement heifers on a high-forage diet.


1999 ◽  
Vol 1999 ◽  
pp. 47-47
Author(s):  
R.M. Herd ◽  
S.C. Bishop

Net feed efficiency refers to variation in feed consumption between animals net of requirements for maintenance and production, and may be measured as residual feed intake (RFI). Because RFI is independent of liveweight (LW) and growth rate, selection for improved net feed efficiency is likely to reduce feed intake with little change in growth. The purpose of this study was to establish whether there exists genetic variation in RFI in young British Hereford bulls, and to determine the phenotypic and genetic correlations of RFI with key production traits.The data consisted of performance measurements on 540 bull progeny of 154 British Hereford sires, collected over ten 200-day postweaning performance tests conducted between 1979 and 1988. The traits analysed were food intake (FI), 200 to 400-day daily gain (ADG), 400-day weight (W400), predicted carcass lean content (LEAN), lean growth rate (LGR), food conversion ratio (FI/ADG) and lean FCR (LFCR; FI/(ADG x LEAN), described by Bishop (1992).


2014 ◽  
Vol 97 (1) ◽  
pp. 537-542 ◽  
Author(s):  
J.E. Pryce ◽  
O. Gonzalez-Recio ◽  
J.B. Thornhill ◽  
L.C. Marett ◽  
W.J. Wales ◽  
...  

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 347-347
Author(s):  
Pourya Davoudi ◽  
Duy Ngoc Do ◽  
Guoyu Hu ◽  
Siavash Salek Ardestani ◽  
Younes Miar

Abstract Feed cost is the major input cost in the mink industry and thus improvement of feed efficiency through selection for high feed efficient mink is necessary for the mink farmers. The objective of this study was to estimate the heritability, phenotypic and genetic correlations for different feed efficiency measures, including final body weight (FBW), daily feed intake (DFI), average daily gain (ADG), feed conversion ratio (FCR) and residual feed intake (RFI). For this purpose, 1,088 American mink from the Canadian Center for Fur Animal Research at Dalhousie Faculty of Agriculture were recorded for daily feed intake and body weight from August 1 to November 14 in 2018 and 2019. The univariate models were used to test the significance of sex, birth year and color as fixed effects, and dam as a random effect. Genetic parameters were estimated via bivariate models using ASReml-R version 4. Estimates of heritabilities (±SE) were 0.41±0.10, 0.37±0.11, 0.33±0.14, 0.24±0.09 and 0.22±0.09 for FBW, DFI, ADG, FCR and RFI, respectively. The genetic correlation (±SE) was moderate to high between FCR and RFI (0.68±0.15) and between FCR and ADG (-0.86±0.06). In addition, RFI had low non-significant (P > 0.05) genetic correlations with ADG (0.04 ± 0.26) and BW (0.16 ± 0.24) but significant (P < 0.05) high genetic correlation with DFI (0.74 ± 0.11) indicating that selection for lower RFI will reduce feed intake without adverse effects on the animal size and growth rate. The results suggested that RFI can be implemented in genetic/genomic selection programs to reduce feed intake in the mink production system.


1999 ◽  
Vol 79 (4) ◽  
pp. 425-431 ◽  
Author(s):  
B. W. Kennedy ◽  
J. C. M. Dekkers ◽  
R. K. Moore ◽  
L. Jairath

Production and feed intake data on 36 115 first lactation Holstein cows obtained from Quebec Dairy Herd Analysis Service were combined with conformation data from the Holstein Association of Canada to estimate genetic correlations among production, energy intake, and conformation traits. Traits considered were 305-d milk yield, 305-d grain energy and total energy intake, feed efficiency (fat corrected milk yield/total energy intake), body weight at calving, capacity, size, stature, rump width and final score. Genetic and phenotypic parameters were estimated using Restricted Maximum Likelihood based on two-trait animal mixed model analyses. The model contained fixed effects of herd-year, season of calving, age of calving, sire group and a random animal genetic effect. Estimates of heritability were within the published range for all traits. Of the conformation traits examined, capacity, size and stature had the highest correlations with body weight, with phenotypic correlations between 0.36 and 0.43, and genetic correlations between 0.61 and 0.79. Feed efficiency was negatively correlated to all body size measures, both phenotypically (−0.01 to −0.29) and genetically (−0.31 to −0.53), but most significantly with body weight, capacity, size, and stature. Fat-corrected milk yield showed negligible phenotypic and low to moderately negative genetic (−0.07 to −0.29) correlations with body weight and related type traits. Total energy intake was positively related to all measures of body size, most notably body weight, while grain energy intake had moderately negative genetic correlations (−0.20 to −0.40) with the same body size traits. Because of their detrimental relationships with feed efficiency, negative selection emphasis should be placed on body weight and the related type traits capacity, size and stature. Capacity, size and stature are of moderate utility when selecting indirectly for body weight, total energy intake and feed efficiency. Key words: Dairy cattle, genetics, production, conformation, feed efficiency


1995 ◽  
Vol 75 (2) ◽  
pp. 255-257 ◽  
Author(s):  
L. A. Goonewardene ◽  
D. F. Engstrom ◽  
D. R. ZoBell

One hundred and twenty commercial feedlot steers were penned and randomly allocated to three treatments: fed once, twice and three times per day, over a grower through finisher period of 196 d. Feeding frequency had no effect (P > 0.05) on average daily gain, feed intake or efficiency overall. We conclude that there are no beneficial effects in feeding a total mixed diet more frequently to feedlot steers. Key words: Feeding, frequency, gain, steers, feed efficiency


1996 ◽  
Vol 76 (1) ◽  
pp. 81-87 ◽  
Author(s):  
L. Q. Fan ◽  
J. W. Wilton ◽  
P. E. Colucci

Genetic parameters of feed intake and efficiency and production traits for lactating beef cows were estimated from data collected from 1980 to 1988 at the Elora Beef Research Centre, Guelph, Ontario. Estimates were obtained using restricted maximum likelihood (REML) with an individual animal model with year–season–treatment, sex of calf, parity, breeding system, covariate daily change of backfat depth and direct genetic and permanent environmental effects. The data included 1174 observations, 511 cows, 369 dam–maternal grand dam pairs and 245 sires of cows. Feed efficiency for milk was calculated as milk yield relative to energy consumed for milk and maintenance and residual feed consumption as estimated energy intake minus energy requirements as estimated by the National Research Council. Heritabilities for Herefords alone and total data, respectively, were estimated to be 0.02 and 0.11 for cow's daily ME intake (MEI), 0.26 and 0.26 for daily milk yield (DMY), 0.45 and 0.33 for milk fat percentage (MFP), 0.29 and 0.40 for metabolic body weight (MBW), 0.21 and 0.10 for calf weaning weight as a proportion of cow weight at weaning (PPW), 0.18 and 0.11 for feed efficiency for milk (FE), and 0.23 and 0.03 for residual feed consumption (RFC). Genetic correlations of output (DMY) and input (MEI) were 0.31 for Hereford and 0.75 for the total data. Genetic correlations of RFC with both output (DMY) and input (MEI) were low. Genetically, PPW was positively associated with FE and DMY and negatively associated with MBW. Key words: Genetic parameters, feed efficiency, lactation, beef cow


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