scholarly journals PERI-URBAN DAIRY PRODUCTION IN OGUN STATE

2021 ◽  
Vol 25 (1) ◽  
pp. 83-87
Author(s):  
I. F. ADU ◽  
A. B. J. AINA ◽  
A. O. FANIMO ◽  
A. IDOWU ◽  
K. A. OKELEYE ◽  
...  

Peri-urban dairy production was assessed in sixty-nine settlements from five Local Government Areas of Ogun State. Majority of the household heads were Fulani from Kwara State. The mean herd size was 12 while the predominant breeds were the Bunaji and Keteku. Calves suckle their dams until weaning at an average of 8.3 months. Estimates of extractable milk from each cow ranged from 227 to 816 liters per loctation. About 85.2% of the extractable milk is processed into wet soft cheese (Wara). Trypanosomiasis and diarrhea were the commonly reported disease problems. Improved feeding and health management of cattle would improve the current level of milk production Ogun State

2016 ◽  
Vol 35 (4) ◽  
Author(s):  
P. Mooventhan ◽  
K. S. Kadian ◽  
R. Senthil Kumar ◽  
A. Manimaran ◽  
A. Sakthivel Selvan

This survey research was carried out to explore the existing dairy farming status in the tribal populated districts of northern hills zone of Chhattisgarh state. Dairy sector has huge potential to generate rural employment and assures the nutritional security to rural folk who belongs to weaker section of the society. Chhattisgarh state is still in primordial stage in dairy farming though the state has good number of cattle population compared to other leading milk producing states. To augment the dairy production in the rural areas, surveying and analysis of existing dairying status is essential and this result helps the planners, administrators, development workers, scientists and others to frame policies to implement developmental schemes. The results indicated that, more than half (56.33%) of the tribal dairy farmers falling under the category of subsistence level of dairy production system, about half (44.67 %) of the respondents possessing medium herd size, non-descript dairy cattle ranks first in the livestock category numbers (865), followed by draught animal (539), cross breeds (126), non-descript upgraded (93), Buffalo upgraded + ND (79), Scrub bulls (27) and Calves (ND + CB + BC were (146). Non-descript lactating cows had 1.24 litres/animal as an average milk production with the maximum of 2 litres and minimum of 250 ml. Crossbred, Upgraded buffaloes and Upgraded non-descript dairy animals had shown the superior milk production performance in F2 generation. Less than half (45.33%) of the tribal farmers producing less than 1.2 litres of milk per day and majority (64.67%) of the respondents selling surplus milk through middle man.


2021 ◽  
Vol 34 (2) ◽  
pp. 277-288
Author(s):  
J.O.Y Aihonsu ◽  
O.F Oreagba ◽  
A.O Idowu ◽  
A.M Shittu

The primary aim of the study was to ascertain the profitaility and assess resource use efficiency as well as compare same between the two sysytems of aquaculture (Concrete pond and Dug-out pond Systems) in Ijebu-North and Ijebu Norh-East Local Government Areas of Ogun State. To accomplish this objective, the 65 fish farmers (30 Dug-out pond and 35 concrete pond) whose fish had reached market size  were interviewed in the study areas during 2001/2002 production season. Sets of structured questionnaire, personally administered were used to collect the required data. The mean  sizes of the concrete ponds and Dug-out ponds were employed in the analysis of the data. The mean sizes of the concrete ponds and Dug-out ponds were 64.57 M2 and 2392.43 M2  respectively. The budgetary analysis of the two systems showed that fish production was profitable in the area. The concrete pond (CPS) system was however found to be more profitable than the dug-out pond system (DPS). The result of the regression analysis showed that the number of fingerlings stocked per square metre, man days of human labour used , months of production season and quatity of fertilizer and lime used had much more significant influence on yield (harvest) from the CPS than from the DPS. The comparison of the technical efficiency of inputs in both systems showed that the  inputs were more efficiently utilized in the CPS rather than in the DPS. The result of the Chow test showed that the resource used in the CPS differed significantly at 5 percent level, from that of DPS. Following their findings, it was recommended that fish farmers in the study area should increase their stocking rate and reduce the amount of hired labour as well as use appropriate good quality feed in order to improve their productivity levels.


2021 ◽  
Vol 19 (1) ◽  
pp. 1-7
Author(s):  
F. S. APANTAKU ◽  
O. M. OLAYIWOLA ◽  
A. O. AJAYI ◽  
O. S. JAIYEOLA

Generalized Chain ratio in regression type estimator is efficient for estimating the population mean. Many authors have derived a Generalized Chain ratio in regression type estimator. However, the computation of its Mean Square Error (MSE) is cumbersome based on the fact that several iterations have to be done, hence the need for a modified generalized chain ratio in regression estimator with lower MSE. This study proposed a modified generalized chain ratio in regression estimator which is less cumbersome in its computation. Two data sets were used in this study. The first data were on tobacco production by tobacco producing countries with yield of tobacco (variable of interest), area of land and production in metric tonnes as the auxiliary variables. The second data were the number of graduating pupils (variable of interest) in Ado-Odo/Ota local government, Ogun state with the number of enrolled pupils in primaries one and five as the auxiliary variables. The mean square errors in the existing and proposed estimators for various values of alpha were derived and relative efficiency was determined. The MSE for the existing estimator of tobacco production gave six values 0.0080, 0.0079, 0.0080, 0.0082, 0.0087 and 0.0093 with 0.0079 as the minimum while the proposed estimator gave 0.0054. The MSEs for the existing estimator for the graduating pupils were 20.73, 11.08, 7.49, 9.96, 18.50 and 33.10 with 7.49 as the minimum while the proposed was 6.52. The results of this study showed that the proposed estimator gave lower MSE for the two data sets, hence it is more efficient.      


Author(s):  
N.A. Thomson

In a four year grazing trial with dairy cows the application of 5000 kg lime/ ha (applied in two applications of 2500 kg/ha in winter of the first two years) significantly increased annual pasture production in two of the four years and dairy production in one year. In three of the four years lime significantly increased pasture growth over summer/autumn with concurrent increases in milk production. In the last year of the trial lime had little effect on pasture growth but a relatively large increase in milkfat production resulted. A higher incidence of grass staggers was recorded on the limed farmlets in spring for each of the four years. In the second spring immediately following the second application of lime significant depressions in both pasture and plasma magnesium levels were recorded. By the third spring differences in plasma magnesium levels were negligible but small depressions in herbage magnesium resulting from lime continued to the end of the trial. Lime significantly raised soil pH, Ca and Mg levels but had no effect on either soil K or P. As pH levels of the unlimed paddocks were low (5.2-5.4) in each autumn and soil moisture levels were increased by liming, these factors may suggest possible causes for the seasonality of the pasture response to lime


Author(s):  
C. Van der Geest

I am a 30-year-old sharemilker on my parent's 600 cow developing farm near Blackball on the western side of the Grey Valley. Earlier this year I competed in the National Young Farmer of the Year competition and finished a close third. So what is information? There are two types of information that I use. There is data gathered from my farm to help fine tune the running of the day to day operations on the farm And directional information This is the information that arrives in papers and directs the long-term direction and plans of the farm and farming businesses. Due to the variability in weather on the Coast there is a greater need to monitor and adjust the farming system compared to an area like Canterbury. This was shown last year (2001/02) when the farm was undergoing a rapid period of development and I was under time restraints from increasing the herd size, building a new shed as well as developing the farm. The results of the time pressure was that day to day information gathering was lower resulting in per cow production falling by 11% or around $182 per cow. So what information was lacking that caused this large drop in profit. • Pasture growth rates • Cow condition • Nitrogen requirements • Paddock performance • Milk production • Pre-mating heat detection As scientists and advisers I hear you say that it is the farmer's responsibility to gather and analyse this information. You have the bigger topics to research and discover, gene marking, improving pasture species, sexing of sperm and ideas that I have not even contemplated yet. This is indeed very valuable research. Where would farming be without the invention of electric fences, artificial breeding and nitrogen research? But my problem is to take a farm with below average production to the top 10% in production with the existing technology and farming principles. I have all the technical information I need at the end of a phone. I can and do ring my consultant, fertiliser rep, vet, neighbour and due to the size and openness of New Zealand science, at present if they do not know I can ring an expert in agronomy, nutrition, soils and receive the answer that I require. I hope that this openness remains as in a time of privatisation and cost cutting it is a true advantage. I feel that for myself the next leap in information is not in the growing of grass or production of milk but in the tools to collect, store and utilise that information. This being tied to a financial benefit to the farming business is the real reason that I farm. Think of the benefits of being able to read pasture cover on a motorbike instantly downloaded, overlaying cow intake with milk production, changes in cow weight, daily soil temperature and predicted nitrogen response. Telling me low producing cows and poor producing paddocks, any potential feed deficits or surpluses. This would be a powerful information tool to use. The majority of this information is already available but until the restraints of time and cost are removed from data gathering and storage, this will not happen.


2014 ◽  
Vol 2 (1) ◽  
pp. 30-37
Author(s):  
Ashish Chandra ◽  
Dr. A. K. Dubey ◽  
Dr. Sachin Kumar Srivastava

This study covered 150 cooperative member milk producers and 150 non-member milk producers which were post- stratified into Landless, Marginal, small, medium and large herd size categories. Breakeven point is a point where no profit no loss status achieved where MR = MC. In this study breakeven point analysis was done to estimate the minimum quantity milk to be produced to cover the total cost on all categories (members and nonmembers) of households of milch animals (Cow and buffalo). And also in this study the researchers have find out the Total cost of milk production per liter for member and non member categories. This study is helpful to find out the total cost of milk production in all categories as well as members and nonmembers of dairy cooperative society are able to find out the breakeven point of the whole business.


2017 ◽  
Vol 1 (28) ◽  
pp. 637-648
Author(s):  
Abbas Hassan Khlaty Al-Sray

The aim of present study was to detect the seroprevalence of Ostertagia ostertagi specific antibodies in cattle milk samples in Wasit province, by using the indirect ELISA test for first time in Iraq. For this purpose, an overall 368 dairies cow was submitted for study and the results were revealed that 51 (13.86 %) of tested cows were positive, and the mean optic density ratios (ODRs) of ELISA test values in seropositive cattle were 0.58. Also, this study aimed to investigate an association of seropositive results with some epidemiological risk factors. Hence, the positive results, according to these factors, were as follow: in milk production factor, 6.32 % for ³18 liters/day group, 14.29 % for ³10-18 liters/day group, and 25 % for < 10 liters/day group; in age factor, 13.41% for ³3-6 years group, and 14.75% for >6 years group; in breed factor, 18.27% for local breed group, 12.17% for cross-breed group, and 12% for pure breed group; in farm management factor, 21.35% for bad management group, and 5.68% for good management group; and in herd size factor, 11.59% for <25 (cow/herd) group, and 17.78% for ³ 25 (cow/herd) group. Statistically, the significant differences (P£ 0.05) were observed among related groups of milk production, breed, husbandry management, and herd size factors; while it’s not reported among groups of age factor.


Author(s):  
Hana Ko

This study aimed to examine the daily time use by activity and identified factors related to health management time (HMT) use among 195 older adults (mean age = 77.5, SD = 6.28 years; 70.8% women) attending a Korean senior center. Descriptive statistics were analyzed and gamma regression analyses were performed. Participants used the most time on rest, followed by leisure, health management, daily living activities, and work. The mean duration of HMT was 205.38 min/day. The mean score for the subjective evaluation of health management (SEHM) was 13.62 and the importance score for SEHM was 4.72. Factors influencing HMT included exercise, number of chronic conditions, fasting blood sugar level, low density lipoprotein level, and cognitive function. HMT and frailty significantly predicted SEHM. HMT interventions focus on promoting exercise and acquiring health information to improve health outcomes among older adults in senior centers.


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