scholarly journals The relationship of estrus character before double dose artificial insemination in Limousin Crossbred cow

2022 ◽  
Vol 335 ◽  
pp. 00031
Author(s):  
Putri Utami ◽  
Muhammad Zainul Hanif ◽  
Aulia Puspita Anugra Yekti ◽  
Joko Riyanto ◽  
Chusnul Hanim ◽  
...  
Keyword(s):  
Artificial Insemination ◽  
Cervical Mucus ◽  
Coefficient Of Determination ◽  
Double Dose ◽  
Heat Detector ◽  
Percoll Density Gradient Centrifugation ◽  
Frozen Semen ◽  
The Relationship ◽  
Vaginal Temperature ◽  
Crossbred Cow

Ongole cattle in smallholder farms on Java, Indonesia, have been crossed with Limousin, which is not controlled repeatedly. The character of estrus affects the success of Artificial Insemination. This study aimed to determine the relationship between estrus characters before double dose artificial insemination using frozen semen sexing. The research was conducted in Senggreng Village, Sumber Pucung District, Malang Regency. The material was 45 head of Limousin crossbred cow inseminated using sexing semen produced by the Singosari National Artificial Insemination Center (SNAIC). The sexed semen processed with the Percoll Density Gradient Centrifugation (PDGC) method. The average body value of cows between 3-5 (scale 1-9) with an average age of 1.8-7 years, normal reproduction, clear signs of estrus. The reproductive organs were examined by rectal palpation to confirm that the cows are not pregnant. Parameters of estrus character were vulvar color, cervical mucus, vaginal temperature, pH, vulvar swelling, and heat detector value. The result showed that the estrus characters, including vulva color, vulva swelling, cervical mucus, vaginal temperature, cervical mucus pH, and heat detector score in the first and second artificial insemination have a low relationship. The regression models produced can be used but are less precise to estimate the relationship between estrus characters because the coefficient of determination shows a low influence.

scholarly journals Tingkat Keberhasilan Inseminasi Buatan Menggunakan Semen Beku Sexing pada Bangsa Sapi yang Berbeda

2020 ◽  
Vol 20 (1) ◽  
pp. 17-21
Author(s):  
Wiranto Wiranto ◽  
Kuswati Kuswati ◽  
Rizki Prafitri ◽  
Asri Nurul Huda ◽  
Aulia Puspita Anugra Yekti ◽  
...  
Keyword(s):  
Success Rate ◽  
Artificial Insemination ◽  
Return Rate ◽  
Conception Rate ◽  
Double Dose ◽  
Percoll Gradient ◽  
Deposition Technique ◽  
Crossbred Cattle ◽  
Frozen Semen ◽  
Gradient Density

ABSTRAK. Penelitian ini bertujuan mengevaluasi tingkat keberhasilan IB semen beku sexing Y. Penelitian menggunakan 39 sapi Peranakan Ongole dan 77 sapi Persilangan Limousin yang di IB secara double dosis. IB menggunakan semen beku spermatozoa Y dengan metode pemisahan Sentrifugasi Gradien Densitas Percoll (SGDP) sapi Limousin yang diproduksi oleh Balai Besar Inseminasi Buatan (BBIB) Singosari. Teknik deposisi semen adalah 4+ yaitu pada posisi cornua uteri selanjutnya dilakukan IB pada jam ke 2 dan ke 8. Untuk akseptor dilakukan penyuntikan BioATP+ dan pemberian pakan konsentrat 3 kg per hari selama 3 hari setelah IB. Variabel penelitian meliputi Non Return Rate (NRR), Service Per Conception (S/C), dan Conception Rate (CR). Hasil penelitian menunjukkan bahwa IB sapi Peranakan Ongole dan sapi Persilangan Limousin yaitu NRR1 sebesar 82,05% dan 89,61%, nilai NRR2 sebesar 76,92% dan 84,42%, nilai CR sebesar 58,97% dan 74,03%, serta nilai S/C sebesar 1,78% dan 1,46%. Kesimpulan penelitian adalah IB menggunakan semen beku hasil sexing Y sapi Limousin pada sapi persilangan Limousin memiliki tingkat keberhasilan yang lebih tinggi dibandingkan sapi Peranakan Ongole.  (The success rate of artificial insemination using frozen sexing semen of different breed cow) ABSTRACT. This study aimed to evaluate the success rate of AI frozen semen sexing Y. The material in this study used 39 Filial Ongole and 77 Limousin crossbred cattle in AI in double dose. The spermatozoa used were Y frozen semen of Limousin bull with the Percoll Gradient Density Centrifugation (SGDP) separation method produced by the Singosari Center for Artificial Insemination. The semen deposition technique was 4+, which has the position of the cornua uteri (deep Insemination), then AI implemented with a double dose at the 2nd and 8th hours after estrous. The cow acceptor was injected with BioATP+ and feed by 3 kg concentrate per day for three days after AI. Research variables include Non-Return Rate (NRR), Service Per Conception (S/C), and Conception Rate (CR). The results showed that AI of Peranakan Ongol and Limousin crossbred cattle on NRR1, NRR2, CR values, and S/C values respectively was 82.05% and 89.61%; 76.92% and 84.42%; 58.97% and 74.03%; 1.78% and 1.46%. In conclusion, AI using frozen semen from sexing Y Limousin cattle in Limousin crossbred cows had a higher success rate than Filial Ongole cattle.

scholarly journals Role of high quality feed supplement additional to the success of artificial insemination using sexing semen on Limousin Crossbred Cow

2022 ◽  
Vol 335 ◽  
pp. 00032
Author(s):  
Muhammad Zainul Hanif ◽  
Putri Utami ◽  
Rizki Prafitri ◽  
Chusnul Hanim ◽  
Trinil Susilawati
Keyword(s):  
Artificial Insemination ◽  
Dry Matter ◽  
Feed Consumption ◽  
Reproductive Parameters ◽  
Feed Supplement ◽  
High Quality ◽  
Cattle Farm ◽  
Frozen Semen ◽  
Crossbred Cow

The success of artificial insemination must be supported by a balance of nutrients for livestock. AI combined with sexing produces offspring according to wishes of the breeder. This study aims to determine the increase in concentration on the success of Artificial Insemination using frozen semen sexing. This research was conducted at the people's beef cattle farm, Sumber Pucung District, Malang Regency. The limousine crosser used was 30 cows. Cattle aged 1.8 – 5 years with BCS 3-5 (score 1-9) Treatment T0 : The usual feed given by farmers (Control). T1: Control+HQFS. Parameters NRR-1, NRR-2, Conception Rate (CR), Pregnancy Rate (PR). The additional feeding of concentrate did not significantly affect the reproductive parameters. The results showed that at T0 the results of NRR-1 and NRR-2 were 80% and 73.33%, respectively. while in T1 it was 73.3% and 66.67%. The results showed that the CR in both treatments was 26% and the results showed that the PR for T0 was 26% and for T1 was 33%. Insufficient feed consumption for all treatments based on NRC requirement data, T0 and T1 dry matter consumption respectively 6.6 and 7.3 Kg/head/day, Protein consumption 0.36 and 0.3 Kg/head/day and TDN consumption of 3.08 and 3.20. kg/head/day.

scholarly journals Keberhasilan inseminasi buatan menggunakan semen sexing beku pada Sapi Persilangan Ongole

2018 ◽  
Vol 28 (3) ◽  
pp. 259 ◽  
Author(s):  
Dwi Susan Setiyani ◽  
Aulia Puspita Anugra Yekti ◽  
Kuswati Kuswati ◽  
Trinil Susilawati
Keyword(s):  
Success Rate ◽  
Artificial Insemination ◽  
Density Gradient Centrifugation ◽  
Gradient Centrifugation ◽  
Return Rate ◽  
Percoll Density Gradient Centrifugation ◽  
Frozen Semen ◽  
Percoll Density Gradient ◽  
Density Gradient Centrifugation Method ◽  
Centrifugation Method

<p>The Artificial Insemination (AI)  results in Beef cattle are expected to be male calf because they can increaseweight gain rapidly, so in this study AI was carried out by using sexing semen with Percoll density gradient centrifugation method containing Y sperm.This study was conducted to evaluate the success rate of AI using frozen sexing semen on Ongole Cross Breed. The study method used wasexperimental, comparing AI frozen sexing semen and frozen semen in 54 Ongole Cross Breed. The study variableswere Non Return Rate<sub>1</sub> (NRR<sub>1</sub>), Non Return Rate<sub>2</sub> (NRR<sub>2</sub>) and Conception Rate (CR).The study showed that the success rate of based on the value of NRR<sub>1</sub> and NRR<sub>2</sub>AI using frozen sexing semen on Ongole Cross Breed is lower than un sexed frozen semen with the NRR<sub>1</sub> value is 73,91%; 93,54% while the value of NRR<sub>2</sub> was 69,56%; 83,87%. Based on CR value of frozen sexing semen higher than un sexed frozen semen showed CR valuewas 43,47%; 35,48%.</p>

scholarly journals Factors influencing the pregnancy rate in indigenous ewes following AI using frozen semen

2018 ◽  
Vol 33 (2) ◽  
pp. 33-38 ◽  
Author(s):  
N Naher ◽  
NS Juyena ◽  
PK Jha ◽  
MRI Talukder ◽  
MGS Alam ◽  
...  
Keyword(s):  
New Zealand ◽  
Treatment Group ◽  
Pregnancy Rate ◽  
Penetration Depth ◽  
Artificial Insemination ◽  
Prostaglandin F2α ◽  
Factors Influencing ◽  
Medium Intensity ◽  
Heat Detector ◽  
Frozen Semen

Study was conducted to observe the influence of different factors on pregnancy rate in 24 indigenous ewes following artificial insemination (AI) with frozen semen. The ewes were synchronized by intra-muscular injection of Prostaglandin F2α (Ovuprost® Bayer, New Zealand). The onset and intensity of oestrus were determined by oestrus behaviour of ewes with vasectomized ram. VER values were measured immediately before AI using electrical heat detector (DRAMINSKI®, Owocowa 17, Poland). Twelve ewes were inseminated trans-cervically and 12 laparoscopically. Five ewes were treated with Misoprostol (Cytomis® 200 µg tablet; Incepta Pharmaceuticals Ltd. Bangladesh) to relax the cervix 12 hours before TCAI, and cervical penetration depth was measured by a steel rod. Pregnancy was confirmed by ultrasonography at 40 – 45 days after AI. Cervical penetration depth was significantly increased (P<0.05) (0.48 ± 0.04 vs. 3.52 ± 0.17 cm) in treatment group. The pregnancy rate tended to be higher in treatment group (60.0 vs. 28.6%). In treatment group cervical penetration was significantly increased (P<0.05) (0.35 ± 0.08 vs. 3.52 ± 0.17 cm) immediately before AI compared with before oestrus synchronization. The pregnancy rate was significantly higher (P<0.05) (75.0 vs. 28.6%) in LAPAI than TCAI without treatment. The pregnancy rate tended to be higher (75.0 vs. 55.6%) in ewes with high oestrus intensity than in those with medium intensity. The pregnancy rate was significantly higher (P<0.05 : 70.0 vs. 20.0%) in lower VER group (230 - 280 Ω) compared with higher VER group (331 – 380 Ω.) Although LAPAI was superior to TCAI, TCAI in ewes treated with misoprostol giving a pregnancy rate of 60% could be acceptable, until the LAPAI could be made simpler to be used in field. The oestrus intensity and low VER values could be used to select ewes to be inseminated to increase the pregnancy rate.Bangl. vet. 2016. Vol. 33, No. 2, 33-38

Problematic Internet Use digunakan Ketika Kesepian pada Remaja

2020 ◽  
Vol 14 (1) ◽  
pp. 45-60
Author(s):  
Yashinta Yashinta ◽  
Dwi Hurriyati
Keyword(s):  
Internet Use ◽  
Hypothesis Test ◽  
Problematic Internet Use ◽  
Coefficient Of Determination ◽  
Test Results ◽  
Research Subjects ◽  
Significance Level ◽  
Relationship Of ◽  
The Relationship ◽  
Effective Contribution

This study aims to determine the relationship of loneliness with problematic internet use on boarding students on Silaberanti street in Siantan jaya Opposite Ulu 1 Palembang city. Research subjects numbered 220 people using random sampling methods. Data was collected using a 60 item problematic internet use scale and a 60 item loneliness. Realibility is generated on scale of problematic internet use of 0,955 and loneliness of 0,946.Hypothesis testing uses product moment correlation analysis techniques. Hypothesis test results showed a positive relationshif between loneliness with problematic internet use on boarding students on Silaberanti street in Siantan jaya Opposite Ulu 1 Palembang city r= 0,684 with a significance level of 0,000 (p<0,01). Loneliness in this study made an effective contribution of 46,8% to problematic internet use which can be seen from the coefficient of determination (r²) that is equel to 0,468.

PENGARUH HARGA DAN BRAND TRUST TERHADAP KEPUTUSAN PEMBELIAN OPPO SMARTPHONE (Studi kasus pada OPPO Store, Sinergy Celular Medan)

2019 ◽  
Vol 14 (1) ◽  
pp. 17
Author(s):  
Andi S Tarigan ◽  
Zulkarnaian Siregar
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Coefficient Of Determination ◽  
Purchase Decision ◽  
Brand Trust ◽  
Significance Level ◽  
Research Hypothesis ◽  
Analysis Technique ◽  
The Relationship

AbstrakPenelitian ini bertujuan untuk mengetahui Pengaruh Harga dan Brand Trust Terhadap Keputusan Pembelian pada Sinergy Celular Medan.Sampel dalam penelitian ini adalah seluruh pengunjung Sinergy Celular Medan sebanyak 77 orang.Teknik pengumpulan data yang digunakan adalah melalui kuesioner (angket) yaitu dengan cara menyebarkan kuesioner kepada sampel (responden) dan mengumpulkannya kembali. Teknik analisis data yang digunakan adalah Regresi Linear Berganda.Sebelum data diregresikan maka terlebih dahulu di uji keterkaitannya antara variabel, datanya diuji menggunakan uji normalitas data, multikolinearitas, dan heterokedastisitas.Serta untuk mengetahui kontribusi faktor Harga dan Brand TrustTerhadap Keputusan Pembelian digunakan rumus Koefisien Determinasi (R2). Hipotesis penelitian diterima apabila t hitung >  t tabel dengan tingkat signifikansi 0,1. Nilai t tabel dalam penelitian ini 1,993. Nilai t hitung variabel X1 sebesar 2,107 t hitung lebih besar dari t tabel maka hipotesis di terima, nilai t hitung variabel X2   sebesar 3,405 t hitung lebih besar dari t tabel maka hipotesis di terima. Kata kunci: Harga, Brand Trust, Keputusan Pembelian AbstractThis study aims to determine the Influence of Price and Brand Trust on Purchasing Decision at Sinergy Celular Medan. The sample in this study is all visitors Sinergy Celular Medan as many as 77 people.Data collection technique used is through questionnaire (questionnaire) that is by distributing questionnaires to the sample (respondent) and collect it back. Data analysis technique used is Multiple Linear Regression. Before the data is diregresikan then first in the test the relationship between variables, the data tested using the test of data normality, multicollinearity, and heterokedastisitas. And to know the contribution of price factors and Brand Trust Against Purchase Decision is used the formula Coefficient of Determination (R2). Research hypothesis accepted if t arithmetic> t table with significance level 0,1. The value of t table in this study is 1,993. Value t arithmetic variable X1 of 2.107 t arithmetic greater than t table then the hypothesis received, the value of t arithmetic variable X2 of 3.405 t arithmetic greater than t table then the hypothesis received. Keywords: Price, Brand Trust, Purchase Decision

Development and evaluation of trans-Amadi groundwater parameters: The integration of finite element techniques

2019 ◽  
Author(s):  
Chem Int
Keyword(s):  
Finite Element ◽  
Polynomial Regression ◽  
Nitrate Concentration ◽  
Strong Relationship ◽  
Total Iron ◽  
Coefficient Of Determination ◽  
Port Harcourt ◽  
Polynomial Expression ◽  
The Relationship ◽  
Best Fit

Mathematical model was developed and evaluated to monitor and predict the groundwater characteristics of Trans-amadi region in Port Harcourt City. In this research three major components were considered such as chloride, total iron and nitrate concentration as well as the polynomial expression on the behavious on the concentration of each component was determined in terms of the equation of the best fit as well as the square root of the curve. The relationship between nitrate and distance traveled by Nitrate concentration by the model is given as Pc = 0.003x2 - 0.451x + 14.91with coefficient of determination, R² = 0.947, Chloride given as Pc = 0.000x2 - 0.071x + 2.343, R² = 0.951while that of Total Iron is given as Pc = 2E-05x2 - 0.003x + 0.110, R² = 0.930. All these show a strong relationship as established by Polynomial Regression Model. The finite element techniques are found useful in monitoring, predicting and simulating groundwater characteristics of Trans-amadi as well as the prediction on the variation on the parameters of groundwater with variation in time.

scholarly journals Quantitative Breast Density in Contrast-Enhanced Mammography

2021 ◽  
Vol 10 (15) ◽  
pp. 3309
Author(s):  
Gisella Gennaro ◽  
Melissa L. Hill ◽  
Elisabetta Bezzon ◽  
Francesca Caumo
Keyword(s):  
Breast Density ◽  
Potential Role ◽  
Multiple Correlation Coefficient ◽  
Low Energy ◽  
Coefficient Of Determination ◽  
Contrast Enhanced ◽  
Increased Risk ◽  
Significant Difference ◽  
Automatic Software ◽  
The Relationship

Contrast-enhanced mammography (CEM) demonstrates a potential role in personalized screening models, in particular for women at increased risk and women with dense breasts. In this study, volumetric breast density (VBD) measured in CEM images was compared with VBD obtained from digital mammography (DM) or tomosynthesis (DBT) images. A total of 150 women who underwent CEM between March 2019 and December 2020, having at least a DM/DBT study performed before/after CEM, were included. Low-energy CEM (LE-CEM) and DM/DBT images were processed with automatic software to obtain the VBD. VBDs from the paired datasets were compared by Wilcoxon tests. A multivariate regression model was applied to analyze the relationship between VBD differences and multiple independent variables certainly or potentially affecting VBD. Median VBD was comparable for LE-CEM and DM/DBT (12.73% vs. 12.39%), not evidencing any statistically significant difference (p = 0.5855). VBD differences between LE-CEM and DM were associated with significant differences of glandular volume, breast thickness, compression force and pressure, contact area, and nipple-to-posterior-edge distance, i.e., variables reflecting differences in breast positioning (coefficient of determination 0.6023; multiple correlation coefficient 0.7761). Volumetric breast density was obtained from low-energy contrast-enhanced spectral mammography and was not significantly different from volumetric breast density measured from standard mammograms.

scholarly journals Modeling the seam strength of denim garments by using fuzzy expert system

2021 ◽  
Vol 16 ◽  
pp. 155892502198897
Author(s):  
Joy Sarkar ◽  
Md Abdullah Al Faruque ◽  
Moni Sankar Mondal
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Linear Density ◽  
Unit Length ◽  
Coefficient Of Determination ◽  
Sewing Thread ◽  
External Forces ◽  
Fuzzy Logic Expert System ◽  
The Relationship ◽  
Sufficient Strength

The main purpose of this study is to predict and develop a model for forecasting the Seam Strength (SS) of denim garments with respect to the thread linear density (tex) and Stitches Per Inch (SPI) by using a Fuzzy Logic Expert System (FLES). The seam strength is an important factor for the serviceability of any garments. As seams bound the fabric pieces together in a garment, the seams must have sufficient strength to execute this property even in the unexpected severe conditions where the garments are subjected to loads or any additional internal or external forces. Sewing thread linear density and number of stitches in a unit length of the seam are the two of the most important factors that affect the seam strength of any garments. But the relationship among these two specific variables and the seam strength is complex and non-linear. As a result, a fuzzy logic based model has been developed to demonstrate the relationship among these parameters and the developed model has been validated by the experimental trial. The coefficient of determination ( R2) was found to be 0.98. The mean relative error also lies withing acceptable limit. The results have suggested a very good performance of the model in the case of the prediction of the seam strength of the denim garments.

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