Analysis of Regional Distribution Capacity and Priorities for Improving Beef Cattle Population in East Nusa Tenggara Province

Lole, Ulrikus Romsen; Hartoyo, Sri; Kuntjoro,; Rusastra, I Wayan

doi:10.5398/medpet.2013.36.1.70

Cited by 6 publications

(16 citation statements)

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“…The findings of this study were not in agreement with Lole et al (2013) and Isyanto and Iwan (2016). Both researchers reported that the growth of the beef cattle population in East Nusa Tenggara (NTT) and in Ciamis, West Java, Indonesia, was influenced by the high number of culling and the conversion (reduction) of pastoral land into plantation and settlement land.…”

Section: Pc and CI Contributioncontrasting

confidence: 99%

Calving Interval of Productive PC to Increase Cattle Population Growth: A Case Study At South Sulawesi, Indonesia

Paly¹

2019

Acta Univ. Agric. Silvic. Mendelianae Brun.

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This study aimed to determine the contribution of shortening the calving interval to the growth of the beef cattle population in Indonesia. It used panel data from the 2013–2016 time series and cross-sectional data from 24 districts in South Sulawesi. The variables observed were population growth (PG), productive cows (PC) which have the potential to give birth and calving interval (CI). The data were analyzed by regression of panel data using software-reviews 8. The results showed an average length of CI of 28.18 months. PC gave a positive contribution of 0.003% to PG but was not significant (p > 0.05), while CI contributed negatively to PG by -0.028% and was significantly (p < 0.05) for PG. A 1% increase in CI could decrease PG by 0.028%. On the contrary, any decreased or shortening by 1% of CI could raise PG by 0.028%. Without shortening CI, PG decrease. The shortening of the calving interval on the growth of the beef cattle population in Indonesia can be done by up to 45%, from 28.18 ±4.12 to 15.15 ±4.12 months and PG increased about 1.311% from 5.633% to 6.944%. The key to shortening CI is a change of maintenance system, from extensive to semi-intensive, and control of the mating process. Breeders should limit the length of the weaning period and maximize conceptions during the mating period.

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Section: Pc and CI Contributioncontrasting

confidence: 99%

Calving Interval of Productive PC to Increase Cattle Population Growth: A Case Study At South Sulawesi, Indonesia

Paly¹

2019

Acta Univ. Agric. Silvic. Mendelianae Brun.

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“…The data of the last 10 years show the production of cattle in the province has grown by 2.2 percent (with a population in 2017 of about 905.326 head) (NTT Disnak, 2018). Approximately 68.5% of cattle population is in West Timor, including the District of Kupang, TTS, TTU, Belu, and Malaka (Yusuf and Nulik, 2009;Lole et al, 2013). The slow growth rate of calves production is simultaneously influenced by factors, such as technical/technology, economy, socio-culture, investment, institutions, and related policies (Lole et al, 2013;Guntoro and Priyadi, 2012;Khan and Iqubal, 2010;Etwire et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…Approximately 68.5% of cattle population is in West Timor, including the District of Kupang, TTS, TTU, Belu, and Malaka (Yusuf and Nulik, 2009;Lole et al, 2013). The slow growth rate of calves production is simultaneously influenced by factors, such as technical/technology, economy, socio-culture, investment, institutions, and related policies (Lole et al, 2013;Guntoro and Priyadi, 2012;Khan and Iqubal, 2010;Etwire et al, 2013). Each of the contributing factors needs to be identified and analyzed for the level of significance and the impact on livestock production rate of calves (Lole et al, 2013;Guntoro et al, 2016;Ajetomobi, 2010;Bunmee et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Policies to Increase Calves Production in East Nusa Tenggara as a National Production Center

Lole

Keban

2020

JAP

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The determinant factors of the growth of calf cattle production in NTT Province (both technical/technological, economic, socio-cultural, investment, and related institutions) have not been specifically identified and measured. This is very important for the purpose of formulating and implementing related policies. The objectives of this study were to analyze the main factors affecting the level of calf production, and to formulate policy interventions to increase calf production. A research survey was carried out on parties related to the planning and development of cattle business. The quantitative approach is in the form of regression analysis of time series data. The economic phenomenon of calf production in Kupang Regency has been simplified into a mathematical model (response function). The result reported that the estimated value of the parameters in the total calf production equation model in NTT was: TPRAS= – 20434.1 + 0.2262 LTTSIP* – 0.0032 TLPRAns + 0.2147 TLLTP* + 0.1036 TPTRU* + 0.1877 TRKUT** + 0.2067TRDIB** + 0.1057 TRDVT** + 0.3647 LTPRAS* + 811.7645 TREND**. In conclusionl, the increased production of calves was dependent on the increase in support for the main production factors [number of productive cows, number of farmers, amount of feed, and amount of cement/vaccine] adequatly. Policy investment (through interest rates and realization farming loans), policy of productive cows control (through postponement of slaughter and the provision cash incentives), and policy of technology support (through realization AI doses of semen and livestock vaccines) significantly affect to production of calves.

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“…Analisis kapasitas tampung wilayah untuk ternak (KWT) dilakukan untuk melalui perhitunan berdasarkan potensi pakan dan potensi rumah tangga petani. Hasil penghitungan kapasitas tampung tersebut selanjutnya digunakan untuk menentukan kapasitas peningkatan populasi ternak ruminansia (PPTR-Efektif), yaitu nilai terendah dari perbandingan antara kapasitas tampung berdasarkan potensi pakan dengan kapasitas tampung berdasarkan potensi rumah tangga petani (Lole et al, 2013). Persamaan untuk menghitung kapasitas tampung ternak berdasarkan potensi pakan (KWT-pakan) digunakan persamaan sebagai berikut (Arief H et al, 2012) :…”

Section: Analisis Potensi Pakan Hijauan (Rumput Dan Jerami)unclassified

“…dimana : KWT pakan = kemampuan wilayah dalam menampung ternak berdasarkan potensi pakan KH = kebutuhan hijauan setiap satuan ternak per tahun (9,1kg BKx365) PHR = produksi hijauan rumput (ton BK/tahun) PHJ = produksi hijauan jerami (ton BK/tahun) Sedangkan persamaan untuk menghitung kapasitas tampung ternak berdasarkan rumah tangga petani (KWT-kk) adalah sebagai berikut (Lole et al, 2013) : dimana : KWT-kk = kemampuan wilayah dalam menampung ternak berdasarkan potensi rumah tangga petani Ʃ KK = jumlah rumah tangga petani (KK) 2 = indeks kemampuan rumah tangga petani memelihara ternak ruminansia 4. Analisa deskriptif dilakukan terhadap kondisi ekologi yang meliputi luas wilayah, kondisi fisik/tata guna lahan, sarana pendukung, rumah tangga petani/ kelompok tani dan kebijakan tata ruang wilayah (Mei et al, 2004).…”

Section: Analisis Potensi Pakan Hijauan (Rumput Dan Jerami)unclassified

Prioritas Wilayah Pengembangan Ternak Ruminansia di Kabupaten Tasikmalaya The Priority Region of Ruminant Development in Tasikmalaya District

Darsono¹,

Putri²,

Nahrowi³

2016

JIPTHP

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The objectives of researches were to determine the priority of ruminant development region in Tasikmalaya District. The Base Area anayisis was used in this research through the Location Quotion (LQ), The potential analysis of feedstuff carrying capacity werw also observed. Ruminants population in Tasikmalaya District were 127,847. 89 Animal Unit (AU) consist of beef cattle 50,137 AU, dairy cattle 2,106.00 AU, buffaloes 13,568.85 AU, goats 47,55.80 AU and sheep 14.482,24 AU. There were 6 subdistrictss (Cipatujah, Karangnunggal, Cikalong, Pancatengah, Cikatomas) as base area of beef cattle, 1 subdistrict (Pagerageung) as base area of dairy cattle, 4 subdistricts (Cipatujah, Karangnunggal, Culamega, Leuwisari) as base area of buffaloes, 3 subdistricts (Leuwisari, Sariwangi, Padakembang) as base area of goats, and no base area for sheep. Potential production of feedstuff was 801,202.62 Dry Matter tons/year spread in every subdistrict, especially in the base area of ruminants. Tasikmalaya District has the carryng capacity 341,174.08 AU of ruminant and still be able to increase up to 213,326.19 AU or 160% of the real population. The best priority region of ruminant development in Tasikmalaya district was in Cipatujah in the base area and Bojonggambir for non base area.

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Analysis of Regional Distribution Capacity and Priorities for Improving Beef Cattle Population in East Nusa Tenggara Province

Cited by 6 publications

References 0 publications

Calving Interval of Productive PC to Increase Cattle Population Growth: A Case Study At South Sulawesi, Indonesia

Calving Interval of Productive PC to Increase Cattle Population Growth: A Case Study At South Sulawesi, Indonesia

Policies to Increase Calves Production in East Nusa Tenggara as a National Production Center

Prioritas Wilayah Pengembangan Ternak Ruminansia di Kabupaten Tasikmalaya The Priority Region of Ruminant Development in Tasikmalaya District

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