• Asian-Australasian Journal of Animal Sciences
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• v.16 no.5
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• pp.685-692
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• 2003

Information on nutrient requirements and forage intake of fallow weaner deer is required for the development of feeding strategies during the year. An experiment was conducted in which 60 fallow weaner deer (grazing on medic and ryegrass based pastures) were supplemented with a concentrated diet at three levels. The diet contained 2% minerals, 30% lupin and 68% barley grain. Twelve deer from each treatment were dosed with commercial alkane capsules in May, June, July, September and October to predict nutrient intake. The relationships between body weight gain and intake of metabolisable energy and crude protein were established using a general linear models analysis. Dry matter intake from pastures ranged from 0.137 kg to 0.304 kg in May and June and increased to 1.2 kg in October. Nutrient intake from pastures was strongly influenced by amount of supplementary feed and gender. Digestible energy intake from pastures was 1.3, 3.8 and 6.1 MJ/day higher for males than females in July, August and October, respectively. The protein and energy intake was strongly correlated with body weight gain. The energy requirement for maintenance were 7.3, 8.2, 10.2, 10.2 and 10.7 MJ DE/day and the DE required for each kg body weight gain were 19, 18, 29, 34 and 49 MJ in May, June, August and October, respectively. The protein requirement for maintenance was 12.2, 12.6, 15.0, 11.4 and $8.5g/W^{0.75}$ in May, June, July, August and October, respectively. The nutrient requirement defined from this study can be used to assist farmers to explore the possible pasture and stock management practices under southern Australian conditions. However, further research is required to develop rapid and cheap methods for estimating dry matter intake, nutritive value of pastures and to quantify the potential growth rate of fallow deer in southern Australia.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.5
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• pp.173-179
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• 2017

Advanced countries, animal wastes are produced using bioenergy and methane gas technology. In Korea, many researches are being actively carried out to develop livestock manure as a resource technology rather than a animal waste. However, the production of bio-gas using livestock manure is still in the process of development of functional livestock and compost because of low economic efficiency with livestock manure recycling technology. In this paper, in order to accurately estimate the manure output, It will calculate the manure excretion if you have finished input the number of pigs. In addition, we simulated the fertilization rate of three elements of NPK fertilizer per 100 square meters automatically.

• Journal of Korean Society of Rural Planning
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• v.6 no.2 s.12
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• pp.94-105
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• 2000

The purpose of this study were to make a comparison with the level of environmental consciousness between the livestock farmer and the reference groups( peasant, office worker, housewife and student) and to identify the variables which have an influence on the level of their role performance for environmental protection & preservation. Data for this study were collected from 822 cases including the livestock farmer(109), the peasant(67), the office worker(140), the housewife(119) and the student(356). The SPSS software program and statistics such as frequencies, x2, ANOVA, multiple regression analysis, Chronbach's ${\alpha}$ and factor analysis were used to analyze the data for this study. The major findings of this study were as follows: 1. The pro-environmental attitude score(environmental sensitivity and attitude of environmental protection & preservation) the groups of office worker and housewife is shown higher than the groups of livestock farmer, peasant and student. 2. The consciousness of environmental problem is relatively low to the group of the livestock farmer compared with the reference groups. 3. As a result of multiple regression analysis, four determinants such as locus of control, lifestyle, environmental sensitivity, and knowledge of environmental issues explained 38.8% of the livestock farmer's role performance for the environmental protection & preservation.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.2 no.3
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• pp.170-179
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• 2021

Hulunbuir steppe, one of the four largest steppes in China, has experienced rapidly progressing desertification partly due to overgrazing by livestock. The objective of this study was to investigate the effectiveness of various vegetation recovery methods, including the selection of unpalatable plants less affected by grazing livestock. To determine livestock grazing preferences at Hulunbuir restoration sites, we used DNA barcoding methods to analyze fecal materials of horses and cattle grazing on four restored plants: two trees (Pinus sylvestris L. var. mongolica and Populus canadensis) and two shrubs (Caragana microphylla and Corethrodendron fruticosum). Neither of the two tree species were detected in livestock feces, whereas both shrub species were detected at lo w frequencies. There were no significant differences in compositions of species consumed by horses and cattle except that Asteraceae species were more often consumed by cattle. Our results showed that the four plants used for restoration may be classified as unpalatable or less palatable species in the Hulunbuir restoration area. Our results may help inform restoration strategies implemented in restoration areas, especially regarding negative effects of livestock grazing during the initial stage of restoration in Hulunbuir.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.11
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• pp.1720-1728
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• 2022

The industrial 4.0 era has been opened with the development of artificial intelligence technology, and the realization of smart farms incorporating ICT technology is receiving great attention in the livestock industry. Among them, the quality management technology of livestock products and livestock operations incorporating computer vision-based artificial intelligence technology represent key technologies. However, the insufficient number of livestock image data for artificial intelligence model training and the severely unbalanced ratio of labels for recognizing a specific defective state are major obstacles to the related research and technology development. To overcome these problems, in this study, combining oversampling and adversarial case generation techniques is proposed as a method necessary to effectively utilizing small data labels for successful defect detection. In addition, experiments comparing performance and time cost of the applicable techniques were conducted. Through experiments, we confirm the validity of the proposed methods and draw utilization strategies from the study results.

• Asian-Australasian Journal of Animal Sciences
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• v.11 no.5
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• pp.586-596
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• 1998

The relevance and importance of buffalo production under coconut plantations in the North Westen Province of Sri Lanka was studied in three districts (Bingiriya, Pannala, Kuliyapitiya). The objective of the study was to collect baseline information on socioeconomic and cultural aspects of buffalo production, with a view to promote and disseminate new technologies. The survey technique used consisted of a formal survey using a structured questionnaire (71 households) and rapid appraisal (55 households). The results indicate the existence of a wide stratification of dariy farmers which ranged from skilled dairy operators with high levels of production and management of efficiency to marginal subsistence farmers with low levels of productivity. The most frequent family size of households ranged from 4-5 members (58%), and the average family size was 4.7. The actual average land ownership accounts to 2.4 ha of upland and 0.5 ha of lowland, but when their accessibility to common property resources are taken into account, the land availability was assessed at 13 ha and 0.7 ha of upland and lowland, respectively. The highest average monthly income (Rs. 13,590) was received by farmers with off-farm employment (primary) who are also engaged in livestock production (secondary), and livestock contributed 43% of the total income. Livestock farmers who practised integrated crop farming as a secondary source of income received a monthly income of Rs. 10,843, and those involved in crop production as the primary source received the lowest average income (Rs. 7,295). The survey revealed a high investment cost on concentrate feeds (47%) for milk production. However some farmers obtained higher milk yields (11 litres/cow/day) at lower ration costs, and this could be attributed to the entrepreneurship skills and management efficiency. The study area had a well developed market infrastructure for fresh milk, principally due to the existence of the Nestle's company and the Coconut Triangle Milk Union. On an average the producer collected Rs. 10 per litre of milk marketed.

• Asian-Australasian Journal of Animal Sciences
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• v.13 no.5
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• pp.686-693
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• 2000

Biomass yield, nutritive value and nutrient utilization efficiency of different genera of duckweed (DW, Lemnaceae) under the same nutritional and management conditions were studied. Three genera of DW namely: Lemna perpusilla, Spirodela polyrhiza and Woljfia arrhiza, were cultivated in 18 plastic sinks each of $59{\times}54{\times}35cm^3$ size. Each sink contained approximately 80 L of water and was charged once with 6.648 kg of anaerobically fermented cow dung effluent. The seed rate for Spirodela, Lemna and Wolffia were 600, 400 and $600g/m^2$ respectively. Duckweed were harvested at 48 hours intervals. Media total N concentration for Lemna and Wolffia gradually increased with time. Growth of duckweed was measured by subtracting the inoculum from the total biomass production. Growth of Spirodela ceased within 4 days but Lemna and Wolffia continue to grow up to 34 days. Bio-mass yield was significantly (p<0.05) higher in Wolffia (906 kg/ha/d) than Lemna (631 kg/ha/d). Dry matter (DM) yield was very similar in Lemna (14.80 kg/ha/d) and Wolffia (14.57 kg/ha/d). The N content was non-significant higher in Lemna (5.45%) than Wolffia (5.00%) and Spirodela (4.6%). The crude protein (CP, $N{\times}6.25$) yield was non-significantly higher in Lemna (4.83 kg/ha/d) than Wolffia (4.32 kg/ha/d). The acid detergent fibre (ADF) content was the highest in Wolffia (28.59%), followed by Spirodela (19.47%) and Lemna (12.39%). Utilization efficiency of CP was 273 and 314% respectively for Wolffia and Lemna. However, similar efficiency values for Spirodela was only 1.5%. Considering the bio-mass yield, nutritive value and nutrient utilization efficiency, production performance of DW were in the order of Lemna>Wolffia>Spirodela under the present experimental conditions.

• Weed & Turfgrass Science
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• v.6 no.2
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• pp.157-164
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• 2017

Functional microorganisms decompose various organic matter by enzyme activity and suppress plant disease caused by pathogen. This study was conducted to isolate and select functional microorganisms with protein or carbohydrate degradation activities and antagonistic activity against turfgrass fungal pathogens for eco-friendly turfgrass management in golf course from compost containing livestock manure of poultry or swine. Totally 68 isolates collected from livestock manure compost strains were isolated and tested for their activities of amylase, protease and lipase and antagonistic activities against Rhizoctonia solani AG2-2, R. solani AG1-1, and Sclerotinia homoeocarpa. Among the isolates, 34 strains were selected as functional microbes showing higher activities of amylase and protease. Three isolates of ASC-14, ASC-18, and ASC-35 among the 34 strains were selected as antifungal bacterial strains repressing the above 3 turfgrass fungal pathogens. Analysis results of 16s rRNA gene sequence and phylogenic cluster indicated that ASC-14 and ASC-18 belonged to Bacillus amyloliquefaciens, while ASC-35 was B. subtilis, respectively.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.12
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• pp.1611-1617
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• 2018

The body temperature of livestock is directly related to the health of livestock such that it changes immediately when there exists health problem. Accordingly, the monitoring of livestock's temperature is one of most important tasks in farm management. However, the temperature of livestock is usually measured using skin-attached sensor which is significantly affected by the outside temperature and the condition of attachment which results in the inaccurate measurement of temperature. Herein we have proposed new scheme which estimates the body core temperature of cow based on measured data from neck-attached smart sensor. Especially, we have considered both schemes which estimate the exact temperature and which detect the unusually high temperature based on machine learning. We have found that the occurrence of high temperature can be detected accurately. The proposed scheme can be used in monitoring of health condition of cow and improving the efficiency of farm management.

• Asian-Australasian Journal of Animal Sciences
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• v.32 no.5
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• pp.637-647
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• 2019

Objective: The study aimed at quantifying seasonal and spatial variations in availability and nutritive value of herbaceous vegetation on native pastures and supplement feedstuffs for domestic ruminants in Western Kenya. Methods: Samples of herbaceous pasture vegetation (n = 75) and local supplement feedstuffs (n = 46) for cattle, sheep, and goats were collected in 20 villages of three geographic zones (Highlands, Mid-slopes, Lowlands) in Lower Nyando, Western Kenya, over four seasons of one year. Concentrations of dry matter (DM), crude ash (CA), ether extract (EE), crude protein (CP), neutral detergent fibre (NDF), gross energy (GE), and minerals were determined. Apparent total tract organic matter digestibility (dOM) was estimated from in vitro gas production and proximate nutrient concentrations or chemical composition alone using published prediction equations. Results: Nutrient, energy, and mineral concentrations were 52 to 168 g CA, 367 to 741 g NDF, 32 to 140 g CP, 6 to 45 g EE, 14.5 to 18.8 MJ GE, 7.0 to 54.2 g potassium, 0.01 to 0.47 g sodium, 136 to 1825 mg iron, and 0.07 to 0.52 mg selenium/kg DM. The dOM was 416 to 650 g/kg organic matter but differed depending on the estimation method. Nutritive value of pasture herbage was superior to most supplement feedstuffs, but its value strongly declined in the driest season. Biomass yields and concentrations of CP and potassium in pasture herbage were highest in the Highlands amongst the three zones. Conclusion: Availability and nutritive value of pasture herbage and supplement feedstuffs greatly vary between seasons and geographical zones, suggesting need for season- and region-specific feeding strategies. Local supplement feedstuffs partly compensate for nutritional deficiencies. However, equations to accurately predict dOM and improved knowledge on nutritional characteristics of tropical ruminant feedstuffs are needed to enhance livestock production in this and similar environments.