A study was conducted to evaluate table eggs in Manokwari city. A total of 300 eggs were examined for external and internal qualities. The eggs were gathered from different places: local farmer for local eggs (1 respondent), markets for imported eggs (2 respondents)), supermarkets (4 respondents), egg distributors (1 respondent), and stalls (10 respondents)). The egg examinations were done twice, first was the time when no ship for egg transport came to Manokwari (period 1) to assume that the eggs had been kept for quite long before reached the consumers and second was the time when ship for egg transport that just arrived to Manokwari with the assumption that he eggs were still relatively fresh (periode 2). Results showed that the majority of table eggs in Manokwari had brown shells followed by spotted and light brown, all with oval shapes. Eggs gathered at period 2 were larger than those of period 1; local eggs were significantly heavier than imported eggs due to the difference of egg freshness. The local eggs of period 2 showed a very good air sac with AA quality, while the imported eggs had the air sac quality for A and B. The highest yolk score (8.88) were observed at local eggs at period 2.
This study was aimed to determine the profiles of pig farming systems. Participatory situation analysis was employed to gain data relating to pig profiles in the urban and rural areas of Manokwari. Due to the interests of combining many correlated data, multivariate analysis using Principal Component Analysis (PCA) was performed. Cluster Analysis using Agglomerative Hierarchical Clustering was applied for analysis of merge samples based on similarity in components' composition across sites. There were various twelve classes of pig profiles in Manokwari. In principal component of the first axis correlation of several components shows strong positive relation e.g. in piglets, sows, and total herd size. Status of region in the first axis of PCA (P1) through which pigs were raised had negative correlation, including grower, household member and pig production. In the second axis (P2), negative correlations were shown in piglets, grower, boars, total herd size and the Pig Production Potential (PPP). Status of region has underpinned profiles of pigs. Several farmers were able to manage their farm continuity in a steady composition. Selling pigs was the main aim and few farmers play a role as pure breeder.
ABSTRAKStudi ini bertujuan untuk menentukan faktor-faktor yang berpengaruh terhadap produktivitas usaha ternak babi di Teluk Doreri, Manokwari Papua Barat. Data diambil dari 33 peternak babi yang bermukim di sekitar Teluk Doreri, Manokwari. Data yang dikumpulkan berupa data primer, antara lain karakterisktik petani, terdiri dari umur, pendidikan, pengalaman beternak babi, dan data terkait dengan produksi usaha ternak babi, antara lain jumlah dan tipe pakan sumber energi dan protein, jumlah induk yang dimiliki peternak, bobot badan rata-rata induk babi, dan lahan yang dimiliki peternak untuk usaha ternak babi. Hasil penelitian menunjukkan bahwa jumlah pakan sumber energi dan protein, curahan waktu kerja peternak, bobot induk babi dan lahan yang dimiliki petani untuk usaha ternak babi berpengaruh positif terhadap produksi ternak babi di Teluk Doreri, Manokwari. Faktor-faktor penentu produksi tersebut dapat dijadikan sebagai bagian penting untuk meningkatkan produksi usaha ternak babi di Teluk Doreri, Manokwari.Kata Kunci : Manokwari, Papua Barat, produksi, Teluk Doreri, usaha ternak babi ABSTRACT This study aims to determine the factors that affect the productivity of pig business in Doreri Bay, Manokwari West Papua. Data were taken from 33 pig farmers living around Doreri Bay, Manokwari. The data collected are primary data, such as the characteristics of the farmer, consisting of age, education, experience of raising pigs, and in the form of data related to the production of pig business, such as the number and types of feed sources of energy and protein, the number of mains owned by farmers, the weight of the average pig breeder, and the land owned by the breeder for the pig business. The results showed that the amount of feed source of energy and protein, the time spent by the farmers to raise pigs, the weight of mother of pig and the land owned by the farmers for the pigs business had a positive effect on the production of pigs in Doreri Bay, Manokwari. It is known that the determinants of production can be used as an important and important part to increase the production of pig business in Teluk Doreri, Manokwari.
The performance of Bali cattle in the production of meat has not been maximal. The purpose of the research was to 1). Study potential of Bali bull through breeding value; 2). Analyze of direct and indirect selection response. A total of 1,284 data of weaning weights, yearling weights and body weight gain from 99 cows with 2-7 records were used to analyze the breeding values of bull and selection responses. Estimation of variance and co-variance components of genetic and environmental, and heritability is obtained using the Variance Component Estimation program. PEST program is used to estimate breeding value of bull. Selection response is estimated based on heritability, standard deviation and selection intensity. The results showed that of 28 bulls tested, 53.57% had a positive breeding value of weaning weight; 42.86% had a positive breeding value of yearling weight and 53.57% had a positive breeding value of body weight gain. The direct selection response of weaning weight, yearling weight and body weight gain were 0.26 kg, 1.17 kg and 0.38 kg, respectively, whereas the indirect selection response of weaning weight-yearling weight and weaning weightbody weight gain were 0.21 kg and 0.04 kg respectively.
Most probable producing ability (MPPA) is the one factor used to compare the performance potential of dam based on the data of their progeny. The purpose of the research was to study the genetic ability of weaning weight, yearling weight and calving interval of Bali cows. The weaning weight data of 296 cows derived from 99 dams, yearling weight data of 245 cows derived from 86 dams and calving interval data of 194 cows from 63 dams were used to estimate repeatability and MPPA of Bali cows in a herd for the three traits. Repeatability of three traits was estimated by analysis of intra-class correlation, and these in turn were used for calculating the estimated MPPA of cows. The results showed that the means of weaning weight of males and females were 95.56 ± 17.25 kg and 87.57 ± 18.45 kg, respectively; means of yearling weight were 143.39 ± 25.78 kg and 136.90 ± 22.01 kg, respectively; and mean calving interval was 391.62 ± 22.59 d. The estimated repeatability of weaning weight, yearling weight and calving interval were 0.006 ± 0.059, 0.022 ± 0.068 and 0.115 ± 0.078, respectively. The best 10 dams in the herd based on the estimates of MPPA for weaning weight, yearling weight and calving interval were not the same for the three traits.
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