A review of factors influencing key biological components of maternal productivity in temperate beef cattle

2018 ◽  
Vol 58 (1) ◽  
pp. 1 ◽  
Author(s):  
B. J. Walmsley ◽  
S. J. Lee ◽  
P. F. Parnell ◽  
W. S. Pitchford

Cow–calf efficiency or maternal productivity is highly correlated with total system efficiency of beef production. Balancing the needs of the cow herd with other production components is a daily challenge beef producers address to maximise the number of calves born and raised to weaning and, in turn, maximise maternal productivity. Pressure to satisfy modern consumer needs has shifted selection emphasis to production traits at the expense of fitness traits allowing adaptability to decline. Balancing the needs of the cow herd with production objectives presents cow–calf producers with the challenge of genetically tailoring their cattle to modern needs, while sustainably managing these cattle and natural resources. This balancing act is highlighted by the debate surrounding the application of residual feed intake to reduce costs associated with provision of feed for beef production. Some uncertainty surrounds the relationships between efficiency, production and maternal productivity traits. This review examines key components and definitions of maternal productivity. Management decisions as well as cow and calf traits have important interacting impacts on maternal productivity. Achieving a calving interval of 365 days represents the single most important production issue affecting maternal productivity and is dependent on heifer development during early life and energy reserves (i.e. body condition score) in subsequent years. Management issues such as calving date and selection decisions interact with environmental factors such as photoperiod and production traits such as feed intake, and previous production levels, to influence heifer development and cow body energy reserves. Some proposed definitions of maternal productivity simply include weaning weight per cow mated which can be averaged over all progeny weaned during a cow’s lifetime. Ideally, a definition should include the inputs and outputs of maternal productivity. Some definitions express maternal productivity over large time scales, e.g. a cow’s productive lifetime. Most definitions focus on the cow–calf unit, while some include progeny growth and feed intake to slaughter. This review recommends a definition that focuses on the cow–calf unit, as follows: (weight of calf weaned and cow weight change)/(metabolisable energy intake per cow and calf unit). This definition has the capacity to be scaled up, to include progeny postweaning production, as well as being applicable over varying time scales (e.g. 1 year to a cow’s whole productive life). Improvements in all facets of maternal productivity using this definition can be expected to improve beef-production efficiency.

Author(s):  
Исмагиль Хакимов ◽  
Ismagil Khakimov ◽  
Ринат Мударисов ◽  
Rinat Mudarisov ◽  
Александр Акимов ◽  
...  

The purpose of the research is to increase the economic efficiency of beef production by the system of cow – calf by adjusting the feeding taking into account the point assessment of fatness of meat cows. For the effective production of beef is not enough to have highly productive animals and high quality feed. It is necessary to organize their rational use of feed. In technological groups animals have different live weight, and norms of feeding of meat cattle are calculated, generally, depending on live weight of animals. This is the wrong approach, because in the group (in the herd) animals can have the same living mass and have different energy requirements depending on the state of fatness. Adjusting the level of feeding depending on the fatness of animals will save expensive feed, as in the structure of the cost of beef a large share of the cost falls on feed (about 60%). In the course of the research, a high positive relationship between the live mass and the point assessment of the cows fatness (r=0.93 for Hereford and r= 0.95 for the Kazakh white-headed breed) was established, which allowed to determine the regression coefficients between the features. It is found that increasing body condition by 1 point increases the live weight of Hereford cattle 40.4 kg and in cows of Kazakh white-headed breed of 48.1 kg. This allowed us to determine the required changes in the feeding level for 90-100 days prior to calving to increase for cows with a body condition score of 1 by 3.02; 2 points – 2.67 to 3.02; 3 points on 1.70-2.55; 4 points at 1.32-1.70; 5-6 points to 0.85-0.91 EKE, for cows with a body condition score of 8 to reduce the level of feeding of 0.47-0.85 and EKE with fatness 9 points lower on 0,85-1,70 ECE. Thus, studies show that the organization of feeding depending on the condition, is a necessary tool for achieving economic efficiency of beef production on the system cow-calf.


1998 ◽  
Vol 78 (1) ◽  
pp. 29-45 ◽  
Author(s):  
K. R. Koots ◽  
J. P. Gibson

A bioeconomic model of an integrated Canadian beef production system was developed to derive economic values for genetic improvement of multiple traits. The breeding objective was assumed to be profit maximization of the integrated enterprise. Sixteen input traits were identified as potentially influencing returns and costs in the system. These were mature size, direct and maternal calving ease (in heifers and cows separately), cow fertility, calf survival, cow survival, peak milk yield, residual post-weaning growth rate, residual feed intake in growing animals, residual feed intake in mature animals, residual slaughter weight and dressing percentage at constant backfat thickness, marbling and lean percentage. Most traits were defined to be functionally independent of each other. Thus, traits related to mature size were redefined as residual traits after accounting for the nonlinear relationships among mature size, growth and feed intake traits following mammalian size scaling rules. The base model, which incorporates average returns and costs under production and marketing systems typical of eastern Canada, is described. Economic values in the base model suggest that calf survival, fertility, residual feed intake, and dressing percentage are of primary economic importance in a purebreeding system. These traits also ranked highly in dam lines and (with the exception of fertility) in sire lines in terminal crossbreeding systems. Key words: Beef cattle, economic values, bioeconomic model


2021 ◽  
Vol 53 (1) ◽  
Author(s):  
Hehe Liu ◽  
Lei Wang ◽  
Zhanbao Guo ◽  
Qian Xu ◽  
Wenlei Fan ◽  
...  

Abstract Background As a major economic trait in poultry, egg production efficiency attracts widespread interest in breeding and production. However, limited information is available about the underlying genetic architecture of egg production traits in ducks. In this paper, we analyzed six egg production-related traits in 352 F2 ducks derived from reciprocal crosses between mallard and Pekin ducks. Results Feed conversation ratio (FCR) was positively correlated with feed intake but negatively correlated with egg-related traits, including egg weight and egg production, both phenotypically and genetically. Estimates of pedigree-based heritability were higher than 0.2 for all traits investigated, except hip-width. Based on whole-genome sequencing data, we conducted genome-wide association studies to identify genomic regions associated with these traits. In total, 11 genomic regions were associated with FCR. No genomic regions were identified as significantly associated with hip-width, total feed intake, average daily feed intake, and total egg production. Analysis of selective sweeps between mallard and Pekin ducks confirmed three of these genomic regions on chromosomes 13, 3 and 6. Within these three regions, variants in candidate genes that were in linkage disequilibrium with the GWAS leader single nucleotide polymorphisms (SNPs) (Chr13:2,196,728, P = 7.05 × 10–14; Chr3:76,991,524, P = 1.06 × 10–12; Chr6:20,356,803, P = 1.14 × 10–10) were detected. Thus, we identified 31 potential candidate genes associated with FCR, among which the strongest candidates are those that are highly expressed in tissues involved in reproduction and nervous system functions of ducks: CNTN4, CRBR, GPR63, KLHL32, FHL5, TRNT1, MANEA, NDUFAF4, and SCD. Conclusions For the first time, we report the identification of genomic regions that are associated with FCR in ducks and our results illustrate the genomic changes that occurred during their domestication and are involved in egg production efficiency.


2020 ◽  
Vol 98 (Supplement_2) ◽  
pp. 75-76
Author(s):  
Camren l Maierle ◽  
Andrew R Weaver ◽  
Eugene Felton ◽  
Scott P Greiner ◽  
Scott A Bowdridge

Abstract Residual feed intake (RFI) is quickly becoming the preferred measurement of efficiency in many species due to its inherent independence of most other important production traits. Making meaningful improvement in feed efficiency of sheep will require a consistent methodology to accurately identify efficient individuals. Due to difficulty in measuring this trait efforts must be made to incorporate efficiency data in large-scale genetic evaluations. The aim of this study was to evaluate lambs in a feedlot with large-scale genetic evaluations for feed efficiency calculated by residual feed intake (RFI) utilizing a Growsafe™ system. RFI was calculated by subtracting expected intake from actual intake. Expected intake was determined by regressing metabolic body size of mid-test weight. Regression determined ADG on actual intake for individuals in the population. Texel (n = 58) and Katahdin (n = 118) lambs were placed in a feedlot and fed in separate feeding trials, a complete pellet ad libitum as the sole source of nutrition. In this environment Texel and Katahdin lambs had expected ADG values (0.27 kg/day, 0.32 kg/day respectively) and actual intake data (2154.17 g/day, 1909.33 g/day respectively. After a period of adaptation, Texel average intake was determined over a period of 27 consecutive days and used to calculate individual RFI within the test population. Observable ranges of RFI (-0.62 – +0.62) were seen in the Texel lambs. At the start of the Katahdin trial lambs were separated by sex and FEC treatment. After a period of adaptation, Katahdin average intake was determined over a period of 42 consecutive days and used to calculate individual RFI within the test population. Observable ranges of RFI (-0.53 – +0.50) were seen in the Katahdin lambs as well. In both feeding trials RFI appeared to be normally distributed. Use of this technology may be useful in identifying superior individuals for feed efficiency.


2018 ◽  
Vol 58 (10) ◽  
pp. 1966
Author(s):  
Purna Kandel ◽  
Sylvie Vanderick ◽  
Marie-Laure Vanrobays ◽  
Hélène Soyeurt ◽  
Nicolas Gengler

Methane (CH4) emission is an important environmental trait in dairy cows. Breeding aiming to mitigate CH4 emissions require the estimation of genetic correlations with other economically important traits and the prediction of their selection response. In this study, test-day CH4 emissions were predicted from milk mid-infrared spectra of Holstein cows. Predicted CH4 emissions (PME) and log-transformed CH4 intensity (LMI) computed as the natural logarithm of PME divided by milk yield (MY). Genetic correlations of PME and LMI with traits used currently were approximated from correlations between estimated breeding values of sires. Values were for PME with MY 0.06, fat yield (FY) 0.09, protein yield (PY) 0.13, fertility 0.17; body condition score (BCS) –0.02; udder health (UDH) 0.22; and longevity 0.22. As expected by its definition, values were negative for LMI with production traits (MY –0.61; FY –0.15 and PY –0.40) and positive with fertility (0.36); BCS (0.20); UDH (0.08) and longevity (0.06). The genetic correlations of 33 type traits with PME ranged from –0.12 to 0.25 and for LMI ranged from –0.22 to 0.18. Without selecting PME and LMI (status quo) the relative genetic change through correlated responses of other traits were in PME by 2% and in LMI by –15%, but only due to the correlated response to MY. Results showed for PME that direct selection of this environmental trait would reduce milk carbon foot print but would also affect negatively fertility. Therefore, more profound changes in current indexes will be required than simply adding environmental traits as these traits also affect the expected progress of other traits.


1997 ◽  
Vol 1997 ◽  
pp. 31-31
Author(s):  
A.D. Hall ◽  
W.G. Hill ◽  
P.R. Bampton ◽  
A.J. Webb

Until recently, to enable accurate recording of feed intake, pigs were kept in individual pens. The advent of electronic feeders has allowed accurate records of feed intake and feeding patterns in group housing which is more similar to that found in the production environment. The objectives of this study were to estimate genetic parameters for these feeding pattern traits and their correlations with production traits to show potential benefits in selection.


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).


2021 ◽  
Vol 12 ◽  
Author(s):  
Daniel Assan ◽  
Yanlin Huang ◽  
Umar Farouk Mustapha ◽  
Mercy Nabila Addah ◽  
Guangli Li ◽  
...  

Feed is one of the most important external signals in fish that stimulates its feeding behavior and growth. The intake of feed is the main factor determining efficiency and cost, maximizing production efficiency in a fish farming firm. The physiological mechanism regulating food intake lies between an intricate connection linking central and peripheral signals that are unified in the hypothalamus consequently responding to the release of appetite-regulating genes that eventually induce or hinder appetite, such as apelin; a recently discovered peptide produced by several tissues with diverse physiological actions mediated by its receptor, such as feed regulation. Extrinsic factors have a great influence on food intake and feeding behavior in fish. Under these factors, feeding in fish is decontrolled and the appetite indicators in the brain do not function appropriately thus, in controlling conditions which result in the fluctuations in the expression of these appetite-relating genes, which in turn decrease food consumption. Here, we examine the research advancements in fish feeding behavior regarding dietary selection and preference and identify some key external influences on feed intake and feeding behavior. Also, we present summaries of the results of research findings on apelin as an appetite-regulating hormone in fish. We also identified gaps in knowledge and directions for future research to fully ascertain the functional importance of apelin in fish.


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