Tinjauan Tentang Populasi Sapi Potong dan Kontribusinya terhadap Kebutuhan Daging di Jawa Tengah

2010 ◽  
Vol 8 (1) ◽  
pp. 32
Author(s):  
T Prasetyo ◽  
D Maharso ◽  
C Setiani

<p>The meat consumption in Indonesia is still relatively low, thus the opportunity to increase beef cattle production (population) as a meat production is relatively high. Therefore, a study on the balance of population in Central Java was carried out in order to analyze the population balance of beef cattle in Central Java. The explorative observation study and field survey was carried out in Banyumas, Purworejo, Jepara, Boyolali regencies and Surakarta, Semarang, Pekalongan. Whereas for Province central java level we used desk study method. The results of the study show that the dynamics of livestock population is determined by fertility, mortality, buchering, input and output of the livestock in certain area. The dynamic of beef cattle in Central Java in the last ten years (1995-2004) has increased 0.91 approximately. However, the increase during 2004-2005 estimated only 0.22%. central Java’s contribution to national meat production is 12.75% with increasing on production during 1997-2004 is 6.56%. this development is higher than the population increasing (0.91%/year). The increase of beef cattle population in Pekalongan is the highest (73.50%) though its population is the lowest (285 beef cattles in 2004). The decrease population is in Semarang (-10.06%) and jepara Regency (-1.68%). Implicitly it show thet in the<br />period, the quantities of buchering beef cattle is over the birth level.</p><p>Key words : Balance population, demand of beef, cattle</p>

2010 ◽  
Vol 8 (1) ◽  
pp. 32
Author(s):  
T Prasetyo ◽  
D Maharso ◽  
C Setiani

<p>The meat consumption in Indonesia is still relatively low, thus the opportunity to increase beef cattle production (population) as a meat production is relatively high. Therefore, a study on the balance of population in Central Java was carried out in order to analyze the population balance of beef cattle in Central Java. The explorative observation study and field survey was carried out in Banyumas, Purworejo, Jepara, Boyolali regencies and Surakarta, Semarang, Pekalongan. Whereas for Province central java level we used desk study method. The results of the study show that the dynamics of livestock population is determined by fertility, mortality, buchering, input and output of the livestock in certain area. The dynamic of beef cattle in Central Java in the last ten years (1995-2004) has increased 0.91 approximately. However, the increase during 2004-2005 estimated only 0.22%. central Java’s contribution to national meat production is 12.75% with increasing on production during 1997-2004 is 6.56%. this development is higher than the population increasing (0.91%/year). The increase of beef cattle population in Pekalongan is the highest (73.50%) though its population is the lowest (285 beef cattles in 2004). The decrease population is in Semarang (-10.06%) and jepara Regency (-1.68%). Implicitly it show thet in the<br />period, the quantities of buchering beef cattle is over the birth level.</p><p>Key words : Balance population, demand of beef, cattle</p>


2010 ◽  
Vol 8 (1) ◽  
pp. 32
Author(s):  
T Prasetyo ◽  
D Maharso ◽  
C Setiani

<p>The meat consumption in Indonesia is still relatively low, thus the opportunity to increase beef cattle production (population) as a meat production is relatively high. Therefore, a study on the balance of population in Central Java was carried out in order to analyze the population balance of beef cattle in Central Java. The explorative observation study and field survey was carried out in Banyumas, Purworejo, Jepara, Boyolali regencies and Surakarta, Semarang, Pekalongan. Whereas for Province central java level we used desk study method. The results of the study show that the dynamics of livestock population is determined by fertility, mortality, buchering, input and output of the livestock in certain area. The dynamic of beef cattle in Central Java in the last ten years (1995-2004) has increased 0.91 approximately. However, the increase during 2004-2005 estimated only 0.22%. central Java’s contribution to national meat production is 12.75% with increasing on production during 1997-2004 is 6.56%. this development is higher than the population increasing (0.91%/year). The increase of beef cattle population in Pekalongan is the highest (73.50%) though its population is the lowest (285 beef cattles in 2004). The decrease population is in Semarang (-10.06%) and jepara Regency (-1.68%). Implicitly it show thet in the<br />period, the quantities of buchering beef cattle is over the birth level.</p><p>Key words : Balance population, demand of beef, cattle</p>


2019 ◽  
Author(s):  
Akhmad Sodiq ◽  
Pambudi Yuwono ◽  
Juni Sumarmono ◽  
Setya Agus Santosa ◽  
Yusmi Nur Wakhidati ◽  
...  

2016 ◽  
Vol 16 ◽  
pp. 309-315
Author(s):  
S.T. Morris ◽  
R.E. Hickson

This paper reviews current production trends for sheep and beef cattle production in New Zealand and gives some insight into the opportunities for improvement. The New Zealand climate favours pasture growth and this is the key to sheep and beef cattle production with over 95% of the diet being grazed pasture or crop. Exports are the focus of the industry with 92% of sheep meat and 82% of beef exported. There has been a 72% increase in sheep meat production since 1990, but there still remains opportunity for further increases through breeding sheep at an earlier age, increasing the weight of lambs weaned per ewe per year, increased efficiency of breeding cows and utilisation of calves from the dairy industry for beef production. Keywords: Sheep meat, beef cattle, pasture, intensification, environment


2021 ◽  
pp. 127750
Author(s):  
Milene Dick ◽  
Marcelo Abreu da Silva ◽  
Rickiel Rodrigues Franklin da Silva ◽  
Otoniel Geter Lauz Ferreira ◽  
Manoel de Souza Maia ◽  
...  

2014 ◽  
Vol 160 ◽  
pp. 21-28 ◽  
Author(s):  
Maria Isabel Pravia ◽  
Olga Ravagnolo ◽  
Jorge Ignacio Urioste ◽  
Dorian J. Garrick

2021 ◽  
Vol 194 ◽  
pp. 103247
Author(s):  
Maria Paula Cavuto Abrão Calvano ◽  
Ricardo Carneiro Brumatti ◽  
Jacqueline Cavalcante Barros ◽  
Marcos Valério Garcia ◽  
Kauê Rodriguez Martins ◽  
...  

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 98-99
Author(s):  
Timothy DelCurto ◽  
Sam Wyffels

Abstract Designing research for beef cattle production in rangeland environments is an ongoing challenge for researchers worldwide. Specifically, creating study designs that mirror actual production environments yet have enough observations for statistical inference is a challenge that often hinders researchers in efforts to publish their observations. Numerous journals will accept “case study” or observational results that lack valid statistical inference. However, these journals are limited in number and often lack impact. Approaches are available to gain statistical inference by creating multiple observations within a common group of animals. Approaches to increasing statistical observations will be discussed in this presentation. Modeling animal behavior and performance on extensive rangeland landscapes is commonly practiced in wildlife ecology and, more recently, has been published in Animal Science journals. Additionally, new technology has made it possible to apply treatments (e.g., supplementation studies) to individual animals on extensive environments where large, diverse herds/flocks of cattle/sheep are managed as a single group. Use of individual animal identification (EID) and feed intake technology has opened a wide range of research possibilities for beef cattle production systems research in rangeland environments. Likewise, global positioning system (GPS) collars and activity monitors have created the opportunity to evaluate animal grazing behavior in remote and extensive landscapes. The use of multiple regression models to evaluate resource use in extensive environments will, in turn, help managers optimize beef cattle production and the sustainable use of forage/rangeland resources. Embracing new technologies such as GPS, activity monitors, EID tags, and feed intake monitors combined with multiple regression modeling tools will aid in designing and publishing beef cattle production research in extensive rangeland environments.


2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 430-430
Author(s):  
Andre Pastori D Aurea ◽  
Abmael S da Silva Cardoso ◽  
Lauriston Bertelli Fernandes ◽  
Ricardo Andrade Reis ◽  
Luis Eduardo Ferreira ◽  
...  

Abstract In Brazil beef cattle production is one of the most important activities in the agricultural sector and has an important impact on environmental and resources consumption. In this study assessed greenhouses gases (GHG) impacts from on farms representative productive system and the possible improvements of the production chain. Primary data from animal production index and feeding were collected from 17 farms, which covers 300.000 animals and 220.000 hectares. Emissions of methane, nitrous oxide and carbon dioxide were made using intergovernmental panel on climate change (IPCC) guidelines for national inventories. The GHG inventory included emissions from animals, feeds and operations for animal operation from “cradle to farm gate”. Emissions of each farm were converted to carbon dioxide equivalent (CO2eq) and divided by carcass production. Regression analysis between carbon dioxide equivalent and productive index was run to identify possible hotspot of GHG emissions. A large variation between farms were observed. The GHG yield ranged from 8.63 kg to 50.88 CO2eq kg carcass-1. The productive index age of slaughtering (P &lt; 0.0001), average daily gain (P &lt; 0.0001) and productivity (P = 0.058) per area were positive correlated to GHG yield. While no correlation was found with stocking rate (P = 0.21). Improvements of the production chain could be realized by accurate animal management strategies that reduce the age of slaughtering (feeding and genetic improvements) and gain individual or per area using strategic animal supplementation and pasture management, in order to obtains reduction of GHG emissions of beef cattle.


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