scholarly journals A Study on Farming Conditions and Production Performance of Available Genotypes under Commercial Dairying of Chittagong Bangladesh

Author(s):  
Tanni Chanda ◽  
M.K.I. Khan ◽  
G.C. Chanda ◽  
G.K. Debnath

Background: There are no in-depth research on commercial dairying management and performance of dairy cows under commercial dairying in Chittagong, Bangladesh. The good farming practice and cow’s productivity leads the farm profitability. This study may assist to overcome the problems related to the profitability of dairy farms.Methods: The study was conducted in 28 commercial dairy farms based on two types of data. Primary data: generated from stock inventory and farm management information using a pretested survey questionnaire and analyzed data of average production performance and quality of milk traits indifferent crosses collected directly four times season wise (summer, monsoon and winter) from each selected farms of Chittagong, Bangladesh from 2014 to 2015.Result: Overall management system of irrespective categories of farms was in moderate condition with some exception. Highest number of milking animal was 50% HF × 50% L cross under all farm categories. Crosses of 75% HF × 25% L were highest in number under farm category A and lowest C. In terms of milk quality and quantity, farms with higher number of animals were in better condition. Daily average milk yield was significantly higher in monsoon followed by summer and winter. Therefore, this current study would be helpful for the dairy farmers to find out an expected solution to overcome the problems in this sector.

2006 ◽  
Vol 14 (03) ◽  
pp. 219-239 ◽  
Author(s):  
NARUANARD SARAPAIVANICH ◽  
BERNICE KOTEY

Several factors have been identified in the literature as affecting SME performance, in particular ability to access finance. Access to finance is in turn influenced by variables in both the enterprise's internal and external environment. It is held that SMEs are unable to access external finance because they are not investment ready. They lack the necessary information and knowledge of their businesses to approach finance providers or to be successful in accessing funds if they do. Face-to-face interviews using structured questionnaire were conducted to collect primary data from 407 SMEs operating in the trading sector in 3 provinces- Bangkok, Chiang-Mai and Khon-Kan. Results of the structural equation modelling (SEM) reveal that quality of financial information has significant positive effect on performance and on owner-managers' perception of their ability to access external capital. A significant positive effect of their perception of ability to access capital on performance was also found.


2006 ◽  
Vol 22 (5-6) ◽  
pp. 63-69 ◽  
Author(s):  
Miroslav Zujovic ◽  
Zorica Tomic ◽  
M.P. Petrovic ◽  
Dragana Ruzic-Muslic ◽  
LJ. Stojanovic

Goat milk is biologically highly valuable protein food intended for nutrition of offspring and as raw material for preparation of different dairy products. Therefore, in our opinion, it was justified from zoo technical, genetical and economical aspect to direct our attention towards Serbian white diary goat and study basic traits of this breed. Based on our previous investigations of traits of Domestic white goat we have established that this was a domestic population of expressed hereditary milk traits and good quality of milk. This lead to more detailed study of the quality of milk obtained from the genotype called Serbian white goat in first lactation, created based on Domestic white goat, especially since there is great interest in breeding of this specific genotype on the territory of Serbia and also abroad. Based on performed investigations and established results it can be concluded that Serbian white goat belongs to the dairy goat type and is our best goat population. Regarding the quality of analyzed milk, in general it is of medium quality, however, the percentage of fat, proteins and lactose is very high, which is very important for dairy industry and further processing of milk into high quality goat cheeses which appear on our markets in very small quantities. Processing of goat milk into high quality cheese types is now performed in small number of mini dairy plants.


2018 ◽  
Vol 18 (3) ◽  
pp. 187
Author(s):  
Midhat Glavić ◽  
Amir Zenunović ◽  
Aleksandra Budiša

The aim of this research was to determine the actual data available to the dairies and to compare them with the statistical data. The actual data obtained from dairy can be used for further research and development of the dairy sector. Dominant production system in BiH are small farms (3‒5 cows) dealing with mixed livestock production, with the primary goal of self-sufficiency of which only 3.5% are farms with more than 20 dairy cows. The data used in the paper were derived from statistical agencies, as well as own research in the 7 largest milk processors in B&H (purchase about 86.10% of total milk in B&H). The number of dairy farmers of these 7 largest milk producers was 9.865 in 2015 (and 15.311 in 2012), who owned a total of 49.865 dairy cows in 2015 (42.364 in 2012). Average per producers of raw milk was 5.05 cows in 2015 (or 2.77 cow per producer in 2012). Average milk production per dairy cow was 4.149 L in 2015 (and 4.026 L in 2012). E‒class quality of milk is only 77% from the deliverables milk and 68% from the number of samples.


2021 ◽  
Author(s):  
Tanni Chanda ◽  
M.K.I. Khan ◽  
G.C. Chanda ◽  
G.K. Debnath

Background: Farmers are not satisfied by the production performance of different crossbred Holstein-Friesian (HF) cows in Chattogram, Bangladesh. Therefore, the study was taken to find out the effect of farm categories on milk yield and milk constituents of different HF crossbred at Chattogram, Bangladesh. Methods: This study was conducted from July 2014 to June 2015 in Chattogram Metropolitan Area (CMA), Potia, Mirsharai and Fatikchari upazilla (sub-district) of Chittagong, Bangladesh. For this study fourteen (14) commercial dairy farms in three different categories as A (50 greater than milking cows), B (31 greater than 50 milking cows) ,C (11 greater than 30 milking cows) with 98 cows for each of the 3 crosses named as 50%HF×50% Local (L), 75%HF×25%L and 50%HF×50% Sahiwal (SH) at their third parity were selected. Farms under the same category were selected based on similarities in feeding and other management practices. Quality of raw milk was obtained by analyzing the milk samples collected from an individual animal of the selected farm at an interval of seven days by using a milk scanner (Lactostar, Model no. 3510, Funke Gerber, Germany) in the Laboratory of Dairy Science of Chattogram Veterinary and Animal Sciences University (CVASU). Result: A significant difference (P less than 0.05) in milk yield and constituents except lactose and minerals was observed among the same and different crossbreds of HF under different farm categories. The highest daily average milk yield and quality were observed in different crosses of farms belong category A, but their performances decreased gradually with poor management systems in farms belong to categories B and C. So, farm category has a significant effect on milk quality and quantity in different crosses of Holstein. This study would help the commercial dairy farmers in choosing suitable crosses of Holstein-Friesian for farms belong to different categories.


2006 ◽  
Vol 22 (3-4) ◽  
pp. 73-81
Author(s):  
M.P. Petrovic ◽  
Dragana Ruzic-Muslic ◽  
M. Zujovic

Quantity and quality of sheep milk represent framework of any research and development projects which have as an objective creation of prerequisites for production of highly valued dairy products, primarily cheeses. It is a known fact that milk production in sheep varies depending on many factors of hereditary nature, but also numerous environmental factors. The major factors are: breed, condition, breeding value, order of lactation, stage/phase of lactation, number of lambed offspring, nutrition, housing and health condition. Objective of this paper was to investigate the influence of major systematical factors on milk yield and quality of milk in populations reared in the region of Stara Planina mountain. Research is main component of the project carried out in the region of Stara Planina mountain - Visok. Sheep included in the research are representatives of Pirot Pramenka and Pirot improved population. Investigation included three herds of 100-300 sheep, control of milk yield was carried out using standard method once a month, and quality of milk was determined on apparatus of the milk-test type. For processing of data in analysis of systematical influences we applied procedure of linear model, observing the effects of the year, order of lactation, type of lambing of dam and size of litter. Based on the performed research, processed and presented results we can conclude that the milk yield of investigated sheep of both genotypes varied depending on the year and lactation. The highest milk quantity was registered in the third year and third lactation, which was statistically significant in case of both genotypes. In the first and second year of research, as well as order of lactation, milk yield was different, or in other words we could observe considerable increase in the second year and second lactation, also significant. In both genotypes, values of mutual differences are neglect able and statistically insignificant. Content of fat and proteins in sheep milk from both observed populations decreased slightly from the first to third year, as well as from the first to third lactation, and observed differences were statistically significant. Sheep born as singles had slightly higher milk yield, and determined difference wasn?t statistically significant. Deviations in regard to the content of fat and proteins weren?t great, which indicated that type of lambing had no significant effect on these sheep milk traits. Breeding sheep which have lambed and reared two lambs had higher milk yield, and determined differences were statistically significant. Size of litter had no significant effect on content of fat and protein considering that established differences weren?t statistically significant.


2020 ◽  
Vol 3 (1) ◽  
pp. 110-121
Author(s):  
Sitaram Chamlagain ◽  
Tulasa Dahal

The study specially focused on production and distribution of fresh milk in ‘Bariyapatti’ Rural Municipality. Sohapur village, where number of local people visit daily in order to buy fresh milk. Milk is good for the bones because it offers a rich source of calcium, a mineral essential for healthy bones and teeth. It reduces blood pressure which also benefits bone health. The main objective of the study is to explore and analyse the status of production and distribution of fresh milk by villagers in Bariyarpatti Rural Municipality ward No. – 04, Sohpur. The study is based on descriptive research design. Primary data collection tools i.e. observation, questionnaire method and direct interview method is used. The study concludes that the milk supplier of the village are facing the problem of supply fluctuation due to the improper management of milk production by the villagers and selling situation of fresh milk. The trading place for trading milk is not appropriate. Despite large number of cows and buffalo populations, the proportion of milking animals has remained low. Indicating a large number of ‘unproductive’ animals. The existing suppliers are not focusing on quality of milk, the quality of milk refers that they mix water with the fresh milk. Through improving in timely collecting money, considering hygiene factors and using cows to produce milk rather than buffalos can benefit for the supplier of milk.


2017 ◽  
Vol 13 (Especial 2) ◽  
pp. 102-109
Author(s):  
Wallacy Barbacena Rosa dos Santos ◽  
Hozana Alves Chagas ◽  
Nariane Coelho de Oliveira ◽  
Milena de Lima Vieira ◽  
Jeferson Corrêa Ribeiro ◽  
...  

This work was carried out with small farmer (up to 150 L/day), medium (150 to 300 L/day) and large (up to 300 L/day) size of the milk productivity, with the aim of characterizing the dairy production city of Morrinhos - GO. We were used 20 variables collected through of information of questionnaires applied to 40 dairy farms. Results showed that the average production (liters/cow/year) was higher than the national average, with of 7.80, 8.66 and 14.55 L/cow/day for the three groups, respectively. Use of area was higher for the group of large producers (19.26 L/ha/day), compared to 3.14 L/ha/day (small producers) and 4.74 L/ha/day (medium producers). As regards the quality of milk produced, only small farmers have achieved the minimum amount of CCS required for Normative Instruction 62 of Brazil, obtained 381.680 CCS/ml. For CBT, all were above to stipulated, where the three groups obtained, respectively, 830,860, 899,580 and 318,690 colony-forming/ml. The three groups were with protein percentage of 3.25% (small farmer), 3.28% (medium farmer) and 3.25% (larger farmer) and fat percentage of 3.51, 3.74%, and 3.80% for 3 103 Colloquium Agrariae, vol. 13, n. Especial 2, Jan–Jun, 2017, p. 102-109. ISSN: 1809-8215. DOI: 10.5747/ca.2017.v13.nesp2.000214 groups, respectively. It is concluded that specialized and non-specialized farmers form dairy farming of city of Morrinhos.


2018 ◽  
Vol 5 (2) ◽  
pp. 60-67 ◽  
Author(s):  
Dwi Yulianto ◽  
Retno Nugroho Whidhiasih ◽  
Maimunah Maimunah

ABSTRACT   Banana fruit is a commodity that contributes a great value to both national and international fruit production achievement. The government through the National Standardization Agency establishes standards to maintain the quality of bananas. The purpose of this Project is to classify the stages of maturity of Ambon banana base on the color index using Naïve Bayes method in accordance with the regulations of SNI 7422:2009. Naive Bayes is used as a method in the classification process by comparing the probability values generated from the variable value of each model to determine the stage of Ambon banana maturity. The data used is the primary data image of 105 pieces of Ambon banana. By using 3 models which consists of different variables obtained the same greatest average accuracy by using the 2nd model which has 9 variable values (r, g, b, v, * a, * b, entropy, energy, and homogeneity) and the 3rd model has 7 variable values (r, g, b, v , * a, entropy and homogeneity) that is 90.48%.   Keywords: banana maturity, classification, image processing     ABSTRAK   Buah pisang merupakan komoditas yang memberikan kontribusi besar terhadap angka produksi buah nasional maupun internasional. Pemerintah melalui Badan Standarisasi Nasional menetapkan standar untuk buah pisang, menjaga mutu  buah pisang. Tujuan dari penelitian ini adalah klasifikasi tahapan kematangan dari buah pisang ambon berdasarkan indeks warna menggunakan metode Naïve Bayes  sesuai dengan SNI 7422:2009. Naive bayes digunakan sebagai metode dalam proses pengklasifikasian dengan cara membandingkan nilai probabilitas yang dihasilkan dari nilai variabel penduga setiap model untuk menentukan tahap kematangan pisang ambon. Data yang digunakan adalah data primer citra pisang ambon sebanyak 105. Dengan menggunakan 3 buah model yang terdiri dari variabel penduga yang berbeda didapatkan akurasi rata-rata terbesar yang sama yaitu dengan menggunakan model ke-2 yang mempunyai 9 nilai variabel (r, g, b, v, *a, *b, entropi, energi, dan homogenitas) dan model ke-3 yang mempunyai 7 nilai variabel (r, g, b, v, *a, entropi dan homogenitas) yaitu sebesar 90.48%.   Kata Kunci : kematangan pisang,  klasifikasi, pengolahan citra


2019 ◽  
Vol 10 (2) ◽  
pp. 144-151
Author(s):  
Noora Ahmed Lari ◽  

The State of Qatar has implemented several family policies in order to improve the wellbeing of Qatari families and ensure fair distribution of development benefits for both men and women. However, there is a linkage between female employment outside the home and instability in the marriages of Qatari families. This paper investigates the impact of female employment on marital stability, based on the results of primary data collected in Qatar, a questionnaire that consisted of several sections such as challenges in the workplace, supervisor, family and spouse relations, work motivation and performance. Of the 824 questionnaires that were returned, 807 were completed and valid for analysis. Regression analysis and an ANOVA test have been used to test the relationship between the variables. The results of the research have produced mixed findings about how wives’ employment increases marital instability and have yielded few significant differences on mean scores of discuss on work demands, insufficient time together, housework, financial matters, communication, relatives and rearing children. The results indicates that in general Qatar working women face several challenges in relation to their marital life as part of cultural and social constraints.


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