scholarly journals The Attitude Changes Of Local Farmers Toward The Introduction Of Artificial Insemination In The Extensive Of Cattle Raising In The Seram Bagian Barat District, Maluku Province, Indonesia

2020 ◽  
Vol 1 (4) ◽  
pp. 176-184
Author(s):  
Bambang Ngaji Utomo ◽  
NLP. Indi Dharmayanti ◽  
Muharam Saepulloh ◽  
Rahmat Setyo Adji ◽  
Procula Rudlof Matitaputty ◽  
...  
Keyword(s):  
Birth Weight ◽  
Reproductive Performance ◽  
Gestational Age ◽  
Artificial Insemination ◽  
Selling Price ◽  
Optimization Strategy ◽  
Extensive Management ◽  
Survey Interviews ◽  
Local Farmers

Special efforts for cow must be pregnant  (Upsus Siwab)  is a program for the achievement of meat adequacy in 2022 through the optimization strategy of implementing Artificial Insemination (AI) in 34 provinces including Maluku Province. One of them is Seram Bagian Barat District. The type of cattle that are kept are Bali with extensive management. Maluku Province is The AI introduction area, so there are many challenges to meet the targets set. The purpose of this paper is to know the performance of AI introductions and the effect toward farmer attitudes in the SBB District during the 3 years of assistance. The method of this research was a survey, interviews with farmers, field officers, and district officers. Data with the Ishiknas format for 3 years was collected from the Agriculture services of SBB District. Data was tabulated and analyzed descriptively. The basic problems related to the application of AI are (1) it is difficult to detect the oestrus because all cattle are released, (2) the habits of mating cattle naturally, (3) there is no interest in participating of AI, and (4) the knowledge of oestrus is very minimal. The strategy to solved the problem was introduction the hormone of Oestrus Synchronization (SE). The strategy was quite successful, in 2017, the realization of AI was 85%. Realization in 2018 and 2019 were more than 100%. The S/C score was 1.13 times indicates that the cows have very good reproductive performance. There were 15 variations in gestational age with the range of 8 months 4 days - 9 months 17 days. The most average were 9 months 10 days (16.6%) and 9 months 11 days (16.6%). The pregnancy rates of AI was 10 -311 cows/month with an average of 108.8 cows, while in natural marriages 0 - 32 cows/month with an average of 12.5 cows. The birth weights of AI with Bali bulls straw ranged from 17 to 23 kg (an average of 19.6 kg), while the natural mating was an average of 16 kg. Another results, the birth weight of AI with Ongole bulls straw on male was an average of 32.2 kg and 30 kg on female. In 2017, the implementation of the AI was all done in combination with the SE because no farmers wanted to report the oestrus of cows. In 2018 there were reports from farmers and in 2019, all AI implementations were based on normal oestrus reports. The change in attitudes of farmers regarding adoption of AI was caused by the calves had a higher birth weight and a higher selling price. Implementation of AI in the District of SBB has good prospects for increasing the quantity and quality of cattle and also increasing the income of farmers

Reproductive Performance Of Bali Cattle Cross Breed Brahman Cattle Through Improving The Genetic Quality Of Local Livestock In Special Effort for Cows to be Pregnant Program

2021 ◽  
Vol 1 (1) ◽  
pp. 1-7
Author(s):  
Irwansyah ◽  
Junaedi ◽  
Suparman
Keyword(s):  
Birth Weight ◽  
Reproductive Performance ◽  
Artificial Insemination ◽  
Secondary Data ◽  
Birth Spacing ◽  
Calving Interval ◽  
Brahman Cattle ◽  
Bali Cattle ◽  
The Relationship

One of the problems that exist in the community is the lack of identification of the reproductive performance of prospective brooders of Bali cattle that are artificially inseminated. The researcher conducted a research to determine the reproductive performance of Bali Cattle inseminated with Brahman Cattle Semen in SECP (Special Effort for Cows to be Pregnant Program) Program in Kolaka Regency. The parameters observed in this study were; artificial insemination's first age (Years), How many times the artificial insemination (AI) was pregnant (S/C), Length of pregnancy (months), Calving Interval (CI) (months), Birth weight (Kilograms), Correlation of AI's first age with birth weight. Sources of date used in this study are primary and secondary data. Data collection techniques carried out in this study were observation and interviews. The date obtained was analyzed descriptively, analysis of variance, average, and to calculate the relationship between variables was analyzed by correlation. Reproductive performance of Bali Cattle inseminated with Brahman Cattle Semen in SECP Program in Kolaka district include; first age AI 23.63±1.99 months, Service per Conception (S/C) 1.56±0.55, gestational age 9.03±0.38 months, Calving Interval (CI) 12.24±0 .52 months, birth weight 27.85 ± 2.96 and the correlation between AI prime age and birth spacing was 0.77.

scholarly journals Reproductive Performance Of Bali Cattle Cross Breed Brahman Cattle Through Improving The Genetic Quality Of Local Livestock In Special Effort for Cows to be Pregnant Program

2021 ◽  
Vol 1 (1) ◽  
pp. 1-7
Author(s):  
Irwansyah ◽  
Junaedi ◽  
Suparman
Keyword(s):  
Birth Weight ◽  
Reproductive Performance ◽  
Artificial Insemination ◽  
Secondary Data ◽  
Birth Spacing ◽  
Calving Interval ◽  
Brahman Cattle ◽  
Bali Cattle ◽  
The Relationship

One of the problems that exist in the community is the lack of identification of the reproductive performance of prospective brooders of Bali cattle that are artificially inseminated. The researcher conducted a research to determine the reproductive performance of Bali Cattle inseminated with Brahman Cattle Semen in SECP (Special Effort for Cows to be Pregnant Program) Program in Kolaka Regency. The parameters observed in this study were; artificial insemination's first age (Years), How many times the artificial insemination (AI) was pregnant (S/C), Length of pregnancy (months), Calving Interval (CI) (months), Birth weight (Kilograms), Correlation of AI's first age with birth weight. Sources of date used in this study are primary and secondary data. Data collection techniques carried out in this study were observation and interviews. The date obtained was analyzed descriptively, analysis of variance, average, and to calculate the relationship between variables was analyzed by correlation. Reproductive performance of Bali Cattle inseminated with Brahman Cattle Semen in SECP Program in Kolaka district include; first age AI 23.63±1.99 months, Service per Conception (S/C) 1.56±0.55, gestational age 9.03±0.38 months, Calving Interval (CI) 12.24±0 .52 months, birth weight 27.85 ± 2.96 and the correlation between AI prime age and birth spacing was 0.77.

Reproductive Performance Of Bali Cattle Cross Breed Brahman Cattle Through Improving the Genetic Quality of Local Livestock in Special Effort for Cows to be Pregnant Program

2021 ◽  
Vol 1 (1) ◽  
pp. 1-7
Author(s):  
Irwansyah ◽  
Junaedi ◽  
Suparman
Keyword(s):  
Birth Weight ◽  
Reproductive Performance ◽  
Artificial Insemination ◽  
Secondary Data ◽  
Birth Spacing ◽  
Calving Interval ◽  
Brahman Cattle ◽  
Bali Cattle ◽  
The Relationship

One of the problems that exist in the community is the lack of identification of the reproductive performance of prospective brooders of Bali cattle that are artificially inseminated. The researcher conducted a research to determine the reproductive performance of Bali Cattle inseminated with Brahman Cattle Semen in SECP (Special Effort for Cows to be Pregnant Program) Program in Kolaka Regency. The parameters observed in this study were; artificial insemination's first age (Years), How many times the artificial insemination (AI) was pregnant (S/C), Length of pregnancy (months), Calving Interval (CI) (months), Birth weight (Kilograms), Correlation of AI's first age with birth weight. Sources of date used in this study are primary and secondary data. Data collection techniques carried out in this study were observation and interviews. The date obtained was analyzed descriptively, analysis of variance, average, and to calculate the relationship between variables was analyzed by correlation. Reproductive performance of Bali Cattle inseminated with Brahman Cattle Semen in SECP Program in Kolaka district include; first age AI 23.63±1.99 months, Service per Conception (S/C) 1.56±0.55, gestational age 9.03±0.38 months, Calving Interval (CI) 12.24±0 .52 months, birth weight 27.85 ± 2.96 and the correlation between AI prime age and birth spacing was 0.77.

scholarly journals Fetal birth weight, a challenge to the mother and simplest marker for fetal maturity: a study in new rural hospital setup

2019 ◽  
Vol 8 (11) ◽  
pp. 4291
Author(s):  
Rajashree Dattatreya Nagarashi ◽  
Lakshmi Swapna Durvasula
Keyword(s):  
Birth Weight ◽  
Gestational Age ◽  
Maternal Age ◽  
Maternal Weight ◽  
Independent Variables ◽  
Fetal Maturity ◽  
Fetal Birth Weight ◽  
Elective Induction ◽  
Term Objective

Background: The birth weight is an important factor which the obstetricians have to give due importance when contemplating elective induction of labor before 40 completed weeks. It is a single most important determinant for survival, growth and development of infant. It reflects the health status of the mother during adolescence and pregnancy and also the quality of antenatal care. It is well known that there is a co-relation between weight of the fetus and the length of the gestation and other various factors. This study looks into the various factors influencing the fetal birth weight and length of gestation and what is its relative importance to the viability of developmental chances of premature infants and also infants born at term. Objective was to study the effect of various maternal factors like maternal age, parity, maternal weight, gestational age on fetal birth weight.Methods: 176 participants with term pregnancies were studied under three independent variables viz gestational age, maternal age and maternal weight that had effect on the fetal birth weight in two groups - primipara and multipara and reported by statistical analysis.Results: The independent variables gestational age and maternal weight showed a statistically significant correlation (p <0.05) with fetal birth weight in both the groups. Whereas the variable maternal age didn’t have any statistically significant effect (p >0.05) on the fetal birth weight in the study.Conclusions: Primipara had more pronounced correlation with fetal birth weight than multipara in the variable gestational age. The maternal weight affected fetal birth weight equally in both the groups. And maternal age had no effect on fetal birth weight in either groups.

scholarly journals Associations between Maternal Health-Related Quality of Life during Pregnancy and Birth Outcomes: The Generation R Study

2019 ◽  
Vol 16 (21) ◽  
pp. 4243
Author(s):  
Guannan Bai ◽  
Ida J Korfage ◽  
Eva Mautner ◽  
Hein Raat
Keyword(s):  
Birth Weight ◽  
Birth Outcomes ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
Late Pregnancy ◽  
Pregnancy And Birth Outcomes ◽  
Related Quality ◽  
Health Related ◽  
Pregnancy And Birth

The objective of this study was to assess associations between maternal health-related quality of life (HRQoL) in early, mid-, and late pregnancy and birth outcomes and to assess the differences in birth outcomes between subgroups of mothers reporting relatively “low” and relatively “high” HRQoL. HRQoL was measured by the 12-item Short Form Health Survey in early (n = 6334), mid- (n = 6204), and late pregnancy (n = 6048) in a population-based mother and child cohort; Physical and Mental Component Summary (PCS/MCS) scores were calculated. Birth outcomes included pregnancy duration, preterm birth, birth weight, low birth weight, and small for gestational age. We defined very high PCS/MCS scores as the >90th percentile and very low score as the <10th percentile. The lower PCS score in late pregnancy was significantly associated with a higher chance of having small-for-gestational-age birth (per 10 points: OR = 1.20, 95% CI: 1.08, 1.33, p value = 0.0006). In early, mid-, and late pregnancy, the subgroup mothers with a low MCS score had infants with a lower average birth weight than those with very high scores (p < 0.05). The association between higher physical HRQoL in late pregnancy and a higher chance of having small-for-gestational-age birth needs further research. The role of mother’s mental HRQoL during pregnancy and the potential consequences for the child require further study.

scholarly journals Quality of life of former preterm adolescents

2018 ◽  
Vol 67 (3) ◽  
pp. 159-165
Author(s):  
Rozane Lapoli Sanz Casseb ◽  
Ethel Cukierkorn Battikha ◽  
Ana Lucia Goulart ◽  
Anna Luiza Pires Vieira ◽  
Marina Carvalho de Moraes Barros ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Birth Weight ◽  
Social Relationships ◽  
Gestational Age ◽  
Distress Syndrome ◽  
Very Low Birth Weight ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
The Mean

ABSTRACT Objectives: To compare the quality of life of adolescents born prematurely with very-low-birth-weight, reported by adolescents themselves and their caregivers, and analyze associated factors perceived by both. Methods: This cross-sectional study included former preterm adolescents born with gestational age < 37 weeks and birth weigh < 1,500 g, who were being followed up at the premature outpatient clinic of a university institution, from birth to adolescence, and their caregivers. Quality of life was assessed by the WHOQOL-BREF questionnaire. Factors associated with quality of life were analyzed by linear regression. Results: Of 91 eligible adolescents, 73 (80.2%) were included, being 38 (52.1%) male. The mean gestational age was 30.1 ± 2.4 weeks and birth weight was 1134 ± 239 g. Adolescents reported better quality of life than their caregivers (p = 0.011), being respectively: dissatisfied (1.4 vs. 4.1%), neither satisfied nor dissatisfied (20.5 vs. 20.5%), satisfied (56.2 vs. 71.2%) and very satisfied (21.9 vs. 4.1%). Scores attributed by adolescents and caregivers were, respectively: overall quality of life (4.0 ± 0.7 vs. 3.8 ± 0.6, p = 0.032), physical domain (3.6 ± 0.6 vs. 3.5 ± 0.6, p = 0.685), psychological domain (3.4 ± 0.6 vs. 3.6 ± 0.6, p = 0.116), social relationships (3.7 ± 0.7 vs. 3.6 ± 0.8, p = 0.371) and environment (3.4 ± 0.7 vs. 3.2 ± 0.6, p = 0.037). For caregivers, absence of fixed partner and hospitalization in childhood decreased the overall quality of life score; furthermore, the occurrence of respiratory distress syndrome increased this score. In the adolescents’ view, leukomalacia reduced this score. Conclusions: Adolescents reported better quality of life than caregivers. For adolescents, only biological factors were associated with quality of life scores; for caregivers, biological and social factors were associated this scores.

ПРЕРЫВИСТОЕ ОСВЕЩЕНИЕ ПОВЫШАЕТ ЭФФЕКТИВНОСТЬ ИСКУССТВЕННОГО ОСЕМЕНЕНИЯ КУР В КЛЕТКАХ

2019 ◽  
Keyword(s):  
Reproductive Performance ◽  
Artificial Insemination ◽  
Egg Production ◽  
Laying Hens ◽  
Electric Energy ◽  
Productive Performance ◽  
Feed Conversion ◽  
Scientific Center ◽  
Academy Of Sciences ◽  
Egg Fertility

Intermittent Lighting Improves the Efficiency of Artificial Insemination in Cage Housed Laying Hens Kavtarashvili A.Sh., Kolokolnikova T.N. Federal Scientific Center “All-Russian Research and Technological Poultry Institute” of Russian Academy of Sciences Omsk Agrarian Scientific Center Summary: The effects of different lighting regimes on the oviposition schedule, productive performance, and reproductive efficiency in cage housed laying hens of layer parental flock (Hisex White-R) were studied; the reasonable regime of artificial insemination (AI) under intermittent lighting is proposed. It was found that intermittent lighting regime 1L:4D:4L:1D:4L:10D compared to the constant lighting significantly alters oviposition schedule: under this regime 82.3% of all daily eggs were laid until 9 am (vs. 66.6% in control). This regime and AI at 10 am improved the productive and reproductive performance compared to control (constant lighting 16L:8D and AI at 12 am): mortality by 1.9%, egg production per initial hen by 3.8%, egg weight by 1.1%, percentage of eggs suitable for incubation by 1.9%, egg fertility by 0.9%, hatchability by 2.3%, hatch of chicks by 2.9%, feed conversion ratio (kg of feed per 10 eggs) by 5.3%, the expenses of electric energy for lighting (per 1000 eggs suitable for incubation) by 54.5%. Key words: INTERMITTENT LIGHTING, CAGE HOUSED LAYERS, ARTIFICIAL INSEMINATION (AI), OVIPOSITION SCHEDULE, AI TIMING, PRODUCTIVE PERFORMANCE, REPRODUCTIVE PERFORMANCE

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