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Imports of Indonesian Beef Cattle: A Study of Cattle Weight Loss Based on Type of Ship and Type of Cattle

AAVS_12_5_928-933

Research Article

Imports of Indonesian Beef Cattle: A Study of Cattle Weight Loss Based on Type of Ship and Type of Cattle

Ebban Bagus Kuntadi1, and Amam Amam2*

1Department of Agribusiness, Faculty of Agriculture, Universitas Jember, Indonesia; 2Department of Animal Husbandry, Faculty of Agriculture, Universitas Jember, Indonesia.

Abstract | Weight loss of imported cattle from Australia entering Indonesia is highly probable due to the long distances and journeys. This research aimed to analyze the weight loss of imported cattle from Australia entering Indonesia based on the type of ship used and the type of imported cattle. The types of ships used as the objects of observation were MV Diamantina, Barkly Pearl, and MV Gudali Ex, while the types of cattle used as the objects of observation were Brahman Cross cattle, including heifers, steers, and bulls. The observation involved 4,238 Brahman Cross cattle. The data were analyzed using descriptive analysis and independent sample t-test using SPSS 26.0 software. The results revealed that the weight loss of the imported cattle on the MV Diamantina ship was 12.92 ± 5.66 kg per cattle, Barkly Pearl was 9.98 ± 5.05 kg per cattle, and MV Gudali Ex was 14.32 ± 4 .20 kg per cattle, while the weight loss of Brahman Cross heifers was 12.71 ± 6.19 kg per cattle, of steers was 12.15 ± 3.86 kg per cattle, and of bulls was 15.86 ± 3.97 kg per cattle. It was concluded that the imported beef cattle from Australia with the lowest weight loss during the observation period was Brahman Cross steers transported using the Barkly Pearl ship.

Keywords | Cattle impor, Brahman cross, Livestock transportation, Beef cattle, Heifers, Steers


Received | November 20, 2023; Accepted | February 14, 2024; Published | March 16, 2024

*Correspondence | dan Amam Amam, Department of Animal Husbandry, Faculty of Agriculture, Universitas Jember, Indonesia; Email: amam.faperta@unej.ac.id

Citation | Kuntadi EB, Amam dA (2024). Imports of Indonesian beef cattle: A study of cattle weight loss based on type of ship and type of cattle. Adv. Anim. Vet. Sci., 12(5):928-933.

DOI | https://dx.doi.org/10.17582/journal.aavs/2024/12.5.928.933

ISSN (Online) | 2307-8316

Copyright: 2024 by the authors. Licensee ResearchersLinks Ltd, England, UK.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).



INTRODUCTION

The available population of beef cattle in Indonesia in 2022 was recorded at 18,610,148, which accounts for only 0.067% of the overall Indonesian population of 275,773,800. This condition shows that the need for beef cattle and beef in Indonesia needs to be taken seriously considering that the demand for beef consumption continues to increase along with the increase in human population. The ongoing impact of this phenomenon is the high price of beef at the consumer level (Niloofar et al., 2023; Sneessens et al., 2019). The ongoing impact of this phenomenon is the high price of beef at the consumer level (Amam et al., 2021), so people’s purchasing power is low, it is recorded that beef consumption in Indonesia is only 2.26 kg per capita per year (Rusdiana et al., 2023) or equivalent to 0.010 kg per capita per week (Indonesia’s Central Statistical Agency, 2022a), even though in the same year there was an increase in per capita income of 5.31% (Indonesia’s Central Statistical Agency, 2022c).

Apart from the high price of beef and economic factors related to consumer purchasing power, there are other interesting thing that needs to be underlined is that the growth rate of the beef cattle population in Indonesia of 3.56% or equivalent to an increase to 18.16 million beef cattle in 2022 (Indonesia’s Central Statistical Agency, 2022b), and is still higher than that of the human population of 1.17% (Indonesia’s Central Statistical Agency, 2022d). This condition indicates that the government’s efforts to increase the population, production, and productivity of beef cattle continue to be carried out solely for beef self-sufficiency (Jouan et al., 2021; Tichit and Bernués, 2014). In this case, self-sufficiency is the government’s effort to meet the domestic beef needs (Yulianto et al., 2020; Zahrosa et al., 2020).

Various efforts have been made by the Indonesian government for the beef self-sufficiency program, including a ban on slaughtering productive female cattle, as stated in Law Number 18 of 2009 concerning Animal Husbandry and Animal Health and the Regulation of the Minister of Agriculture of the Republic of Indonesia Number 48 of 2016 concerning Special Efforts to Accelerate the Increase in Pregnant Cattle and Buffalo Population (Rusdiana and Praharani, 2019; Wahyudi et al., 2020). It is expected that these regulations will be able to encourage an increase in the beef cattle population in Indonesia (Amam et al., 2019, 2020). These efforts are proven by the increase in the beef cattle population in Indonesia in the last 2 years, namely an increase in population of 3.52%.

Ironically, the increase in the number of cattle in Indonesia’s beef industry is not reflected in the meat’s market availability (Amam et al., 2023a). The interesting thing need to know is that beef cattle farming in Indonesia is dominated by micro-scale smallholder farms with ownership of under 5 (five) heads and spread across 34 provinces in Indonesia. These farms only use family labor (which is not paid) and operate for personal savings rather than commercial purposes, and the use of resources that overlaps with farmers’ subsistence needs, and the use of resources that overlap with farmers living needs, such as the motorbikes used by farmers to look for grass are the same as those used by farmers to go to the market or for other purposes (Amam al., 2023b, c).

In reality, micro-scale livestock farming is not carried out by developing livestock businesses or efforts to increase the livestock population because livestock business is not the main occupation, but rather as farmers in paddy fields, fields and gardens, or in other words farmers who have beef cattle (Rusman et al., 2018; Widiati, 2014). The challenges of smallholder beef cattle farming include market access and long marketing chains, poor reproductive management and low availability of feeders, as well as weak protection of the selling price of live cattle and prices tend to fluctuate (Amam et al., 2024a, b).

The condition affects the low slaughter rate of local beef cattle raised by individuals farms since the livestock ownership is intended for family savings. As a result, owners will not sell their livestock unless they require a large amount of money. The low slaughter rate of local beef cattle greatly affects the availability of beef on the market, resulting in high beef prices due to limited supply. On the one hand, beef in Indonesia is a strategic food commodity that its availability, price, and distribution are regulated and controlled by the government. Thus, one of the efforts made by the Indonesian government is to regulate import permits for feeder cattle and beef (Hendrawati, 2018; Santoso, 2020)

One of the regulations governing cattle import licensing in Indonesia is the Regulation of the Minister of Agriculture of the Republic of Indonesia Number 108 of 2014 concerning Imports of Feeder Cattle, Parent Cattle, and Cattle Ready for Slaughter into the Territory of the Republic of Indonesia. This regulation defines feeder cattle as non-breeding cattle that have superior characteristics to be raised for a certain period for meat production (Amam et al., 2023d). Breeding cattle, on the other hand, are non-breeding female cattle with normal reproductive organs, good health, and used for breeding purposes. Lastly, cattle ready for slaughter are beef cattle appropriate for slaughter.

However, in practice, cattle imported from abroad, particularly from Australia, undergo long journeys resulting in weight loss. This is due to the disparity between the weight of the cattle from the supplier (in Australia) and the arrival weight (in Indonesia) after being transported via ship (Hersom et al., 2011; Lalman et al., 2019). Hence, this research aimed to analyze the weight loss of imported cattle from Australia entering Indonesia based on the types of ships used and the types of imported cattle. The novelty of this research is to map the types of imported cattle and the types of ships as means of transporting imported cattle from Australia to Indonesia with the lowest impact on the cattle weight loss. The findings provide valuable evaluation material for importers, exporters, and ship transport service providers, as well Government of the Republic of Indonesia.

MATERIALS AND METHODS

This was comparative research since it compared the types of ships used as means of transporting imported cattle from Australia to Indonesia and the types of imported cattle. The types of ships used as the objects of observation were MV Diamantina, Barkly Pearl, and MV Gudali Ex, while the types of cattle used as the objects of observation were Brahman Cross cattle, including heifers, steers, and bulls. The observation involved 4,238 Brahman Cross cattle. The weight loss was calculated based on the disparity in weight of the beef cattle obtained from supplier (from Australia) and of that on arrival (when they arrive in Indonesia) after being transported via ship. Mathematically, it can be calculated as follows.

 

Table 1: Weight loss of imported beef cattle based on types of ships.

Types of ships

Descriptive statistics

N

Cattle Weight

Minimum

Maximum

Mean

Std. Deviation

MV Diamantina

2,368

Supplier weight

223.25

503.20

343.46

37.217

Arrival weight

216.00

494.00

330.53

36.427

Weight loss

-7.19

38.30

12.92

5.669

Barkly Pearl

528

Supplier weight

243.96

481.96

354.41

47.308

Arrival weight

249.00

483.00

344.43

45.972

Weight loss

-13.54

22.86

9.98

5.051

MV Gudali Ex

1,342

Supplier weight

194.41

467.84

304.59

29.000

Arrival weight

182.00

475.00

290.27

27.742

Weight loss

-7.16

29.44

14.32

4.208

 

Source: Processed primary data (2023).

 

Lbw shows the disparity in cattle weight (kg); Bwex shows the weight of beef cattle from the supplier (from Australia) (kg); and Bwim shows the arrival weight of beef cattle (when they arrive in Indonesia) (kg). The observation was made on 4,238 Brahman cross cattle consisting of 2,135 heifers (50.37%), 1,456 steers (34.35%), and 1,342 bulls (31.66%). Besides, observation was also made on the types of ships used as means of transportation for the imported beef cattle, including the MV Diamantina with 2,368 cattle (55.87%), the Barkly Pearl with 528 cattle (12.45%), and the MV Gudali Ex with 1,342 cattle (31.66%).

Factors influencing body weight loss outside the observation variables are considered the same because they have been taken into account for observation purposes, such as livestock stress conditions, feeding practices, transportation conditions and handling during travel. This observation was also carried out based on the similarity of the weather when sending beef cattle to Indonesia, namely sunny weather with a temperature of 27-33oC with a wind speed of 4-15 knots and air humidity of 68-83 percent, with a sea wave height of 0.5-1.25 meters. The data were analyzed using descriptive analysis and independent sample t-test by means of SPSS 26.0 software.

RESULTS AND DISCUSSION

Weight loss of imported beef cattle based on types of ships

The weight loss of imported beef cattle based on types of ships used as means of transportation is shown in Table 1.

The Barkly Pearl ship was means of transportation for the imported beef cattle which during the shipment, it showed the lowest initial weight loss for the beef cattle compared to the MV Diamantina and MV Gudali Ex. This is because the Barkly Pearl transport the smallest population compared to other ships, allowing the cattle ample space and to feel comfortable. The Barkly Pearl was the oldest ship compared to other ships, making its speed and condition inferior newer ships. As a result, the ship’s captain had to steer the ship more carefully slowing it down and improving its stability, helping the livestock onboard feel comfortable (Hakem et al., 2022; Wendimu et al., 2023).

The MV Gudali Ex experienced the most significant weight loss during cattle shipment despite being larger than the MV Diamantina. Although the cattle population was smaller, the Gudali Ex’s newer condition and higher speed facilitated faster delivery. However, due to increased shaking on the vessel, the cattle experienced discomfort during transportation (Bianco et al., 2021; Façanha et al., 2019). The MV Diamantina carried the largest number of cattles among the Barkly Pearl and MV Gudali Ex, boasting dimensions larger than the Barkly Pearl and smaller than the MV Gudali Ex. Despite the significant population on board, weight loss was not the highest due to excellent ship steering and livestock care during transport. The comparison of weight loss of imported beef cattle is shown in Table 2.

 

Table 2: Comparison of weight loss of imported beef cattle based on types of ships.

Types of ships

MV diamantina

Barkly Pearl

MV Gudali Ex

MV Diamantina

N

2,368

-

-

Significance (2-tailed)

-

0.000

0.000

Mean

12.92

-

-

Barkly Pearl

N

-

528

-

Significance (2-tailed)

0.000

-

0.000

Mean

-

9.98

-

MV Gudali Ex

N

-

-

1,342

Significance (2-tailed)

0.000

0.000

-

Mean

-

-

14.32

 

Source: Processed primary data (2023).

 

Table 3: Weight loss of imported beef cattle based on types of cattle.

Types of

cattle

Descriptive statistics

N

Cattle weight

Minimum

Maximum

Mean

Std. Deviation

Heifers

2,135

Supplier weight

219.57

503.20

330.61

42.23

Arrival weight

208.00

494.00

317.90

41.45

Weight loss

-13.54

38.30

12.71

6.19

Steers

1,456

Supplier weight

237.06

481.96

346.84

37.64

Arrival weight

225.00

475.00

334.69

37.12

Weight loss

-7.16

28.22

12.15

3.86

Bulls

1,342

Supplier weight

194.41

451.44

306.55

29.39

Arrival weight

182.00

422.00

290.69

27.75

Weight loss

4.54

29.44

15.86

3.97

 

Source: Processed primary data (2023).

 

Tables 1 and 2 reveal that each type of ship transported different population of Brahman cross beef cattle from the Port of Darwin in Australia to the Port of Tanjung Perak in Indonesia. The total number of beef cattle transported was 2,368 by MV Diamantina, 528 by Barkly Pearl, and 1,342 by MV Gudali Ex. The tables also show the significant differences in the weight loss of cattle on the MV Diamantina and the Barkly Pearl, the MV Diamantina and the MV Gudali Ex, and the Barkly Pearl and the MV Gudali Ex. The significance value in all three test results was less than 0.05 (0.000). This means that the three types of ships used as means of transportation for imported cattle exhibited variations in weight loss of beef cattle. Specifically, the MV Diamantina, the Barkly Pearl, and the MV Gudali Ex resulted in average weight loss of 12.92 kg per cattle, 9.98 kg per cattle, and 14.32 kg per cattle, respectively.

Weight loss of imported beef cattle based on types of cattle

The weight loss of imported beef cattle based on types of imported cattle is shown in Table 3.

The steers had the lowest average weight loss compared to heifers and bulls. The heifers had the largest population, but their weight loss was not too high compared to bulls. The bulls were the ones experiencing the highest weight loss (Cominotte et al., 2020; Jr et al., 2014; Rodriguez et al., 2014). The steers and bulls were male, but the difference was that steers were male cattle that had been castrated while bulls were not castrated. This could affect the amount of weight lost by cattle, as those not castrated often exhibit a strong libido (Jr et al., 2012), leading to aggression and increased movement (Tofastrud et al., 2020). The comparison of weight loss of imported beef cattle is shown in Table 4.

Tables 3 and 4 reveal that each type of cattle imported by ship had different population. The population of heifers was 2,135 cattle, that of steers was 1,456 cattle, and that of bulls was 647 cattle. The tables also show the significant differences in the weight loss of three types of cattle since the significance values for heifers with steers were 0.002 and 0.001, that for heifers with bulls was 0.000, and that for steers with bulls was 0.000, meaning that all significance values were less than 0.05. The average weight losses of beef cattle during the shipping process by ship from the Port of Darwin, Australia to the Port of Tanjung Perak, Indonesia varied based on the types of cattle. Heifers lost an average of 12.71 kg per cattle, steers lost 12.15 kg per cattle, and bulls lost 15.86 kg per cattle.

 

Table 4: Comparison of weight loss of imported beef cattle based on types of cattle.

Breed

Heifers

Steers

Bulls

Heifers

N

2,135

-

-

Significance (2-tailed)

-

0.001

0.000

Mean

12.71

-

-

Steers

N

-

1,456

-

Significance (2-tailed)

0.002

-

0.000

Mean

-

12.15

-

Bulls

N

-

-

647

Significance (2-tailed)

0.000

0.000

-

Mean

-

-

15.86

 

Source: Processed primary data (2023).

 

CONCLUSIONS and Recommendations

Based on the findings, it can be concluded that weight loss of imported beef cattle during the shipping process from Australia to Indonesia varied based on the type of ships (MV Diamantina, Barkly Pearl, and MV Gudali Ex) and the types of cattle (heifers, steers, and bulls). The Barkly Pearl ship had the lowest weight loss, while steers experienced the lowest weight loss among the three types of cattle.

ACKNOWLEDGMENTS

This paper is the outcome of long and continuous research that involves many parties. They deserve an appreciation from the authors. The authors would like to thank: (a) LP2M (Institute of Research and Community Service) of Universitas Jember; (b) KeRis (Research Group) Agribusiness and Agroindustry of Animal Husbandry (A2P) KeRis; (c) Students of Animal Husbandry Study Program, Faculty of Agriculture, Universitas Jember who were involved in the 2018-2023 Research Project; and (d) Indonesian importer company of beef cattle.

NOVELTY STATEMENT

The novelty of this research is to map the types of imported cattle and the types of ships as means of transporting imported cattle from Australia to Indonesia with the lowest impact on the cattle weight loss. The findings provide valuable evaluation material for importers, exporters, and ship transport service providers, as well Government of the Republic of Indonesia.

AUTHOR’S CONTRIBUTION

EBK: Head of project, conceptualization, investigation, writing-review and editing. AA: Conceptualization, methodology, formal analysis, validation, writing original draft, writing-review and editing. All authors have read, reviewed, and approved the final manuscript.

Conflict of interest

The authors have declared no conflict of interest.

REFERENCES

Amam A, Fanani Z, Hartono B, Nugroho BA (2019). Broiler livestock business based on partnership cooperation in indonesia: The assessment of opportunities and business developments. Int. J. Entrepreneur., 23(1 Special Issue): 1–11.

Amam A, Jadmiko MW, Harsita PA (2020). Institutional performance of dairy farmers and the impacts on resources. Agraris J. Agribus. Rural Dev. Res., 6(1): 63–73. https://doi.org/10.18196/agr.6191

Amam A, Jadmiko MW, Harsita PA, Zahroza DB, Rusdiana S (2021). Inhibiting factors on the sustainable livestock development: Case of dairy cattle in Indonesia. IOP Conf. Ser. Earth Environ. Sci., 892: 1–8. https://doi.org/10.1088/1755-1315/892/1/012040

Amam A, Asepriyadi A, Ridhillah MF, Rusdiana S (2023a). Beef cattle farming with a shepherd system in Indonesia. E3S Web Conf., 01002(373): 1–7. https://doi.org/10.1051/e3sconf/202337301002

Amam A, Jadmiko MW, Harsita PA, Sjofjan O, Adli DN (2023b). Growth traits, hematological, and ruminal fluid profile of sheep offered ensiled coffee skin replacing dried water spinach. Vet. World, 16(Juni): 1238–1245. https://doi.org/10.14202/vetworld.2023.1238-1245

Amam A, Jadmiko MW, Harsita PA, Sjofjan O, Adli DN (2023c). Using ensiling coffee skin on growth performance in early periods of sheep. Dev. Modern Livest. Prod. Trop. Count. pp. 112–115. https://doi.org/10.1201/9781003370048-27

Amam A, Rusdiana S, Maplani M, Talib C, Adiati U (2023d). Integration of sheep and corn in rural agriculture in Indonesia. E3S Web Conf., 01001(373): 1–10. https://doi.org/10.1051/e3sconf/202337301001

Amam A, Jadmiko MW, Harsita PA, Rusdiana S (2024a). Formulating a strategy for development of smallholder beef cattle farming in Indonesia with the Force Field Analysis (FFA) method. 10th Int. Conf. Innov. Anim. Sci., 30: 1–7. https://doi.org/10.1051/bioconf/20248800030

Amam A, Luthfi M, Prihatin KW, Wankar TJ (2024b). Driving factors for sustainable livestock development in Indonesia: Study on beef cattle commodities. 10th Int. Conf. Innov. Anim. Sci., 31: 1–8. https://doi.org/10.1051/bioconf/20248800031

Bianco PD, Filho SCV, Chizzotti ML, Marcondes MI, Silva FADS (2021). Development of equations to predict carcass weight, empty body gain, and retained energy of Zebu beef cattle. Animal, 15(1): 100028. https://doi.org/10.1016/j.animal.2020.100028

Cominotte A, Fernandes AFA, Dorea JRR, Rosa GJM, Ladeira MM (2020). Automated computer vision system to predict body weight and average daily gain in beef cattle during growing and finishing phases. Livest. Sci., 232(December 2019): 103904. https://doi.org/10.1016/j.livsci.2019.103904

Façanha DAE, Ferreira JB, Hody J, Leite GM, Ernandes J, Sousa RD, Guilhermino MM, Costa WP, Bermejo LA, Maria A, Vasconcelos D, Mateus R, Silveira F (2019). The dynamic adaptation of Brazilian Brahman bulls. J. Therm. Biol., 81(February): 128–136. https://doi.org/10.1016/j.jtherbio.2019.02.016

Hakem M, Boulouard Z, Kissi M (2022). Classification of body weight in beef cattle via machine learning methods: A review. Proc. Comp. Sci., 198(2021): 263–268. https://doi.org/10.1016/j.procs.2021.12.238

Hendrawati IGAO (2018). Curahan tenaga kerja peternak Sapi Bali sebagai usaha sampingan dan dampaknya terhadap pendapatan keluarga di Kecamatan Penebel, Kabupaten Tabanan. Dwi, 8(1): 63–72. https://doi.org/10.14710/agrisocionomics.v1i1.1646

Hersom MJ, Myer RO, Carter JN (2011). Influence on weaning weights of nursing beef cattle calves de-wormed 90 days prior to weaning. Livest. Sci., 136(2–3): 270–272. https://doi.org/10.1016/j.livsci.2010.07.024

Indonesia’s central Statistical Agency (2022a). Average weekly per capita consumption of several types of important food ingredients, pp. 2007-2023. https://www.bps.go.id/id/statistics-table/1/OTUwIzE=/rata-rata-konsumsi-per-kapita-seminggu-beberapa-macam-bahan-makanan-penting--2007-2023.html.

Indonesia’s central Statistical Agency (2022b). Beef cattle population by province (Head), 2021-2022. https://www.bps.go.id/id/statistics-table/2/NDY5IzI=/populasi-sapi-potong-menurut-provinsi.html.

Indonesia’s Central Statistical Agency (2022c). Indonesia’s economy in 2022 will grow 5.31 percent. https://www.bps.go.id/id/pressrelease/2023/02/06/1997/ekonomi-indonesia-tahun-2022-tumbuh-5-31-persen.html.

Indonesia’s central Statistical Agency (2022d). Population Growth Rate (Percent), 2021-2023. https://www.bps.go.id/id/statistics-table/2/MTk3NiMy/laju-pertumbuhan-penduduk.html.

Jouan J, Carof M, Baccar R, Bareille N, Bastian S, Brogna D, Burgio G, Couvreur S, Cupiał M, Dufrêne M, Dumont B, Gontier P, Jacquot A, Magagnoli S, Makulska J, Szel A, Tabor S, Tombarkiewicz B, Godinot O (2021). A dataset for sustainability assessment of agroecological practices in a crop-livestock farming system. pp. 36. https://doi.org/10.1016/j.dib.2021.107078

Jr MLS, Eler JP, Bignardi AB, Ferraz JBS (2014). Genotype by production environment interaction for birth and weaning weights in a population of composite beef cattle. Anim. Int. J. Anim. Biosci., 8(3): 379–387. https://doi.org/10.1017/S1751731113002255

Jr MLS, Eler JP, Cardoso FF, Albuquerque LG, Bignardi AB, Ferraz JBS (2012). Genotype by environment interaction for birth and weaning weights of composite beef cattle in different regions of Brazil. Livest. Sci., 149(3): 242–249. https://doi.org/10.1016/j.livsci.2012.07.017

Lalman DL, Andresen CE, Goad CL, King ME, Odde KG (2019). Weaning weight trends in the US beef cattle industry. Appl. Anim. Sci., 35(1): 57–65. https://doi.org/10.15232/aas.2018-01797

Niloofar P, Lazarova-molnar S, Alex D, Islam K (2023). A conceptual framework for holistic assessment of decision support systems for sustainable livestock farming. Ecol. Indicat., 155(October): 111029. https://doi.org/10.1016/j.ecolind.2023.111029

Rodriguez J, Unruh J, Villarreal M, Murillo O, Rojas S, Camacho J, Jaeger J, Reinhardt C (2014). Carcass and meat quality characteristics of Brahman cross bulls and steers fi nished on tropical pastures in Costa Rica. MESC, 96(3): 1340–1344. https://doi.org/10.1016/j.meatsci.2013.10.024

Rusdiana S, Praharani L (2019). Pengembangan peternakan rakyat sapi potong: Kebijakan swasembada daging sapi dan kelayakan usaha ternak. Forum Penelitian Agro Ekonomi, 36(2): 97–116. https://doi.org/10.21082/fae.v36n2.2018.97-116

Rusdiana S, Talib C, Praharani L, Herdiawan I, Amam A (2023). Financial feasibility of sheep business through improvement of farmer business scale. AIP, 100010(January): 1–6. https://doi.org/10.1063/5.0124013

Rusman RFY, Hamdana A, Sanusi A (2018). Strategi pengembangan usaha ternak sapi potong di Kecamatan Lau Kabupaten Maros. J. Bisnis, Manajemen, Dan Informatika, 12(3): 119–129.

Santoso B (2020). Prospek pengembangan sapi potong di era normal baru pasca pandemi covid-19. Prosiding Seminar Teknologi Dan Agribisnis Peternakan VII, pp. 15–23.

Sneessens I, Sauvée L, Randrianasolo-rakotobe H, Ingrand S (2019). A framework to assess the economic vulnerability of farming systems: Application to mixed crop-livestock systems. Agric. Syst., 176(August 2018): 102658. https://doi.org/10.1016/j.agsy.2019.102658

Tichit M, Bernués A (2014). Applying the ecosystem services framework to pasture-based livestock farming systems in Europe. Anim. Int. J. Anim. Biosci., 8(8): 1361–1372. https://doi.org/10.1017/S1751731114000421

Tofastrud M, Hessle A, Rekdal Y, Zimmermann B (2020). Weight gain of free-ranging beef cattle grazing in the boreal forest of south-eastern Norway. Livest. Sci., 233(February): 103955. https://doi.org/10.1016/j.livsci.2020.103955

Wahyudi T, Noor TI, Isyanto AY (2020). Strategi pengembangan usaha peternakan sapi potong rakyat. J. Ilmiah Mahasiswa Agroinfo Galuh, 8(2): 545–555. https://doi.org/10.25157/jimag.v8i2.5350

Wendimu A, Tekalign W, Bojago E, Zemarku Z (2023). Beef cattle fattening practices and marketing system in tropical highlands of Ethiopia. J. Agric. Food Res., 14(July): 100806. https://doi.org/10.1016/j.jafr.2023.100806

Widiati R (2014). Membangun industri peternakan sapi potong rakyat dalam mendukung kecukupan daging sapi. Wartazoa, 24(4): 191–200.

Yulianto R, Amam A, Harsita PA, Jadmiko MW (2020). Selected dominance plant species for increasing availability production of cattle feed. E3S Web Conf., 03001(142): 0–3. https://doi.org/10.1051/e3sconf/202014203001

Zahrosa DB, Soetriono S, Soejono D, Maharani AD, Baihaqi Y, Amam A (2020). Region and forecasting of banana commodity in Seroja agropolitan area lumajang. J. Phys. Conf. Ser., 1465(1): 1–8. https://doi.org/10.1088/1742-6596/1465/1/012001

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