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Fulltext The occurrence and distribution of bats in Qatar

Abdulrahman M, Gardner A, Yamaguchi N

J Arid Environ, 2021 Feb;185:104379.
PMID: 33162623 DOI: 10.1016/j.jaridenv.2020.104379

The distributions of bat species in Qatar have not previously been recorded. We conducted the first nation-wide survey of bats in Qatar. Based on sonogram analysis, we identified Asellia tridens, Otonycteris hemprichii, and Pipistrellus kuhlii. The most commonly recorded species was Asellia tridens, the only species recorded in the northern half of the country. Contrary to our prediction, the likelihood of recording bats was not higher in the northern half of the country where there are many irrigated farms. The distributions of the bat species may result from differences in human land use and disturbance, and from the distance to the main body of the Arabian Peninsula. A key habitat feature for Asellia tridens and Otonycteris hemprichii may be the presence of roosting sites in less disturbed sinkholes/caves, which are therefore crucial for bat conservation.

Matched MeSH terms: Farms
Fulltext Economic analysis of broiler production in Peninsular Malaysia

Abdurofi, I., Ismail, M.M., Kamal, H. A. W., Gabdo, B. H.

International Food Research Journal, 2017;24(4):1387-1392.
MyJurnal

The domestic demand for broiler meat is one of the highest in the Malaysian markets. The
industry requires continuous evaluation to identify the existing problems and improves its
competitive advantage. Thus, economic analysis of this sort will continue to update current
statistics on production cost, output and profitability. Following this, the study, therefore, aims
to assess the existing financial condition of farmers, marginal cost of production, total net
income and input-output ratio of broiler production in different regions in Peninsular Malaysia.
The study used multi-stage sampling in selecting 310 operators from Southern, Northern, East
Coast and Centeral regions. The analytical tools include descriptive statistics and farm budget.
The findings disclosed that the broiler farm incurs major cost from acquiring operating inputs
especially feed. The operations in the East Coast region was almost unprofitable for the reason
that feed conversion rate is more than 2 resulting in higher production cost. But the other three
regions indicate positive returns based on the estimated input-output ratios of 1:1.09, 1:1.17
and 1: 1.23 for Northern, Southern and Central regions, respectively.The study advocates for
both managerial and policy measures that will help cut the cost of production to attract more
investors and increase export.

Matched MeSH terms: Farms
Fulltext Effects of Stocking and Transport Conditions on Physicochemical Properties of Meat and Acute-Phase Proteins in Cattle

Abubakar AA, Zulkifli I, Goh YM, Kaka U, Sabow AB, Imlan JC, et al.

Foods, 2021 Jan 26;10(2).
PMID: 33530479 DOI: 10.3390/foods10020252

This study's objective was to evaluate the effects of distance and stocking density on physicochemical properties and oxidative stability of meat and acute-phase proteins in Brahman crossbred cattle transported by road under hot and humid tropical conditions. Sixty Brahman crossbred heifers were subjected to road transport from a cattle feedlot farm located in Universiti Putra Malaysia (UPM), Serdang, to a commercial ruminant abattoir in Shah Alam, Selangor. Animals were assigned to long and short distances and high, medium, and low stocking densities. The results revealed that the intensity of response significantly increased in meat samples from animals subjected to long-distance transportation and higher stocking density. Alpha-1-acid glycoprotein and serum amyloid-A values increased considerably and were different from the baseline values recorded at preload. In conclusion, the current results revealed that the color, pH, shear force values, water holding capacity (WHC), glycogen level, and malondilaldehyde assay (MDA) concentrations in meat and acute-phase proteins (APP) were affected by both distances and stocking densities, as evidenced by the significant changes recorded from the parameters above.

Matched MeSH terms: Farms
Fulltext Effect of plant ontogeny on quantity and chemical constituents of essential oil in sweet basil (Ocimum Basilicum L.) grown in Sudan

Aburigal, Yasmin A. A., Elmogtaba, Elfadl Y., Sirible, Awatif M., Hamza, Nada B., Hussein, Ismail H., Mirghani, Mohamed E. S.

Biological and Natural Resources Engineering Journal, 2020;3(2):1-6.
MyJurnal

Sweet basil (Ocimum basilicum L.) is a very important food additive as well as for its therapeutic and cosmetic potential. The composition of essential oils in plants is affected by genetics and environmental conditions, which is determined by growth region and harvesting time in terms of ontogenetical variability. This study was carried out to assess the effect of plant ontogeny (pre-flowering, at flowering, fruiting) on essential oil content and chemical constituents for four sweet basil cultivated under irrigation conditions in the experimental farm of the National Oilseed Processing Research Institute (NOPRI), University of Gezira, Sudan. The essential oils were hydro-distilled from the leaves using Clevenger apparatus and the chemical constituents were determined by GC-MS. The results reveal that the essential oil yield content ranged from 0.1% to 0.2% at pre-flowering stage, whereas the oil content obtained at post-flowering stage was 0.1% for the investigated accessions. The highest essential oil content was recorded at flowering stage (0.2-0.5%), where the two Sudanese accessions had the maximum content (0.5%). The major chemical constituents, linalool, citral, methyleugenol, and eucalyptol reported at different developmental stages, punctuated between 5.73% and 32.93% in the four investigated accessions.

Matched MeSH terms: Farms
Fulltext Smart and Climate-Smart Agricultural Trends as Core Aspects of Smart Village Functions

Adesipo A, Fadeyi O, Kuca K, Krejcar O, Maresova P, Selamat A, et al.

Sensors (Basel), 2020 Oct 22;20(21).
PMID: 33105622 DOI: 10.3390/s20215977

Attention has shifted to the development of villages in Europe and other parts of the world with the goal of combating rural-urban migration, and moving toward self-sufficiency in rural areas. This situation has birthed the smart village idea. Smart village initiatives such as those of the European Union is motivating global efforts aimed at improving the live and livelihood of rural dwellers. These initiatives are focused on improving agricultural productivity, among other things, since most of the food we eat are grown in rural areas around the world. Nevertheless, a major challenge faced by proponents of the smart village concept is how to provide a framework for the development of the term, so that this development is tailored towards sustainability. The current work examines the level of progress of climate smart agriculture, and tries to borrow from its ideals, to develop a framework for smart village development. Given the advances in technology, agricultural development that encompasses reduction of farming losses, optimization of agricultural processes for increased yield, as well as prevention, monitoring, and early detection of plant and animal diseases, has now embraced varieties of smart sensor technologies. The implication is that the studies and results generated around the concept of climate smart agriculture can be adopted in planning of villages, and transforming them into smart villages. Hence, we argue that for effective development of the smart village framework, smart agricultural techniques must be prioritized, viz-a-viz other developmental practicalities.

Matched MeSH terms: Farms
Fulltext Factors affecting risk tolerance among small-scale seasonal commodity farmers and strategies for its improvement

Agussabti A, Romano R, Rahmaddiansyah R, Isa RM

Heliyon, 2020 Dec;6(12):e05847.
PMID: 33426340 DOI: 10.1016/j.heliyon.2020.e05847

In developing countries, farming businesses are dominated by small-scale farmers with limited resources. Such farmers are subjected to high risks, influencing the success rate of their agricultural endeavors. This study, conducted in Aceh Province, Indonesia, measured the risk tolerance among six groups of farmers with businesses based on the following seasonal commodities: paddy, corn, soy, chili, potato, and tomato. A total of 360 respondents were surveyed and 54 key respondents interviewed. A Likert scale was used to assess the risk tolerance levels of the farmers, and ordinal regression analysis to analyze the factors influencing risk tolerance. Paddy, chili, and potato farmers had a relatively high tolerance to farming risks, whereas corn and tomato farmers showed a moderate tolerance. Soy farmers were classified into the low risk tolerance category. Ordinal analysis indicated that the risk tolerance of farmers in each commodity group was influenced by specific factors. Overall, it was found that the farmers' attitudes to risk tolerance were significantly affected by the following factors: experience, education, farming income, capital, land status, and land size. An intervention strategy including improvements in the curriculum, actors, network, scope of clusters, and technology are among the strategies required to positively improve farmers' perceptions and increase their tolerance to farming risks.

Matched MeSH terms: Farms
Fulltext Pond sludge and increased pH cause early mortality syndrome/acute hepatopancreatic necrosis disease (EMS/AHPND) in cultured white shrimp

Akazawa, Noriaki, Eguchi, Mitsuru

Borneo Journal of Marine Science and Aquaculture, 2017;1(1):92-96.
MyJurnal

Microcosm experiments simulating the occurrence of early mortality syndrome/acute hepatopancreatic necrosis disease (EMS/AHPND) in white shrimp production ponds were performed in 30-L aquariums. Healthy white shrimp, Litopenaeus vannamei, were reared in aquariums containing EMS/AHPND-free hatchery or pond water. Raw pond sludge, collected from shrimp ponds where EMS/AHPND had occurred, was added to some test aquariums, while others were treated with sterilized pond sludge. In some aquariums, water pH was increased from 7.5 to 8.8. Microcosms with stable pH (around 7.5) and/or autoclaved sludge served as controls. The combination of raw sludge and increased pH induced EMS/AHPND and killed white shrimp, whereas raw sludge/stable pH and autoclaved sludge/increased pH combinations did not affect healthy shrimp. Thus, EMS/AHPND outbreaks are due not only to the causative agent but also to environmental stresses such as pH fluctuation. These findings contribute to improved management in shrimp production farms.

Matched MeSH terms: Farms
Fulltext Prevalence and risk factors of childhood diarrhea among wastewater irrigating urban farming households in Addis Ababa

Ali AS, Gari SR, Goodson ML, Walsh CL, Dessie BK, Ambelu A

PLoS One, 2023;18(11):e0288425.
PMID: 37939075 DOI: 10.1371/journal.pone.0288425

INTRODUCTION: Childhood diarrhea is one of the major contributors to the morbidity of under-five children in Ethiopia. Although researchers determine the risk factors varyingly, the exposure route to the pathogens is usually complicated. This study aims to investigate the prevalence and risk factors of diarrhea among children under the age of five among wastewater irrigation farming households in Addis Ababa, Ethiopia.
METHODS: Cross-sectional study was conducted among 402 farming households from November 2021 to February 2022. Data was collected using a face-to-face interviewer-administered questionnaire. Stata version 14 software was used to analyze data. Factors associated with the prevalence of diarrhea was identified using binary logistic regression. Multivariable analysis was carried out to determine an adjusted odds ratio at a confidence level of 95% and level of significance at 0.05.
RESULTS: The overall prevalence of under-five children diarrheal cases was 22.3%. The odds of diarrhea are associated with a multitude of variables. Major wastewater-related determinants associated with diarrhea are body washing with irrigation water [AOR: 37.7, 95%CI (3.1, 358)], contaminated cloth with irrigation water [AOR:10.8,95%CI(0.6, 205)], use of protective clothing during farm work [28.9,95%CI (3.9, 215)], use of farm work cloths at home [AOR: 31.7, 95%CI (4.4, 226)], and bringing unwashed farm tools to home [94 (5.7, 1575)].
CONCLUSION: The high prevalence of under-five children diarrheal disease among wastewater irrigation households was strongly associated with factors related to occupational exposure. Thus, to decrease childhood diarrheal among urban agriculture farmers, appropriate precautions need to be taken.

Matched MeSH terms: Farms
Genetic Diversity of Recent Infectious Bursal Disease Viruses Isolated From Vaccinated Poultry Flocks in Malaysia

Aliyu HB, Hair-Bejo M, Omar AR, Ideris A

Front Vet Sci, 2021;8:643976.
PMID: 33959650 DOI: 10.3389/fvets.2021.643976

Vaccination is an essential component in controlling infectious bursal disease (IBD), however, there is a lack of information on the genetic characteristics of a recent infectious bursal disease virus (IBDV) that was isolated from IBD vaccinated commercial flocks in Malaysia. The present study investigated 11 IBDV isolates that were isolated from commercial poultry farms. The isolates were detected using reverse transcription-polymerase chain reaction (RT-PCR) targeting the hypervariable region (HVR) of VP2. Based on the HVR sequences, five isolates (IBS536/2017, IBS624/2017, UPM766/2018, UPM1056/2018, and UPM1432/2019) were selected for whole-genome sequencing using the MiSeq platform. The nucleotide and amino acid (aa) sequences were compared with the previously characterized IBDV strains. Deduced aa sequences of VP2HVR revealed seven isolates with 94-99% aa identity to very virulent strains (genogroup 3), two isolates with 97-100% aa identity to variant strains (genogroup 2), and two strains with 100% identity to the vaccine strain (genogroup 1) of IBDV. The phylogenetic analysis also showed that the isolates formed clusters with the respective genogroups. The characteristic motifs 222T, 249K, 286I, and 318D are typical of the variant strain and were observed for UPM1219/2019 and UPM1432/2019. In comparison, very virulent residues such as 222A, 249Q, 286T, and 318G were found for the vvIBDV, except for the UPM1056/2018 strain with a A222T substitution. In addition, the isolate has aa substitutions such as D213N, G254D, S315T, S317R, and A321E that are not commonly found in previously reported vvIBDV strains. Unlike the other vvIBDVs characterized in this study, UPM766/2018 lacks the MLSL aa residues in VP5. The aa tripeptides 145/146/147 (TDN) of VP1 were conserved for the vvIBDV, while a different motif, NED, was observed for the Malaysian variant strain. The phylogenetic tree showed that the IBDV variant clustered with the American and Chinese variant viruses and are highly comparable to the novel Chinese variants, with 99.9% identity. Based on the sequences and phylogenetic analyses, this is the first identification of an IBDV variant being reported in Malaysia. Further research is required to determine the pathogenicity of the IBDV variant and the protective efficacy of the current IBD vaccines being used against the virus.

Matched MeSH terms: Farms
Fulltext Dairy Cattle, a Potential Reservoir of Human Campylobacteriosis: Epidemiological and Molecular Characterization of Campylobacter jejuni From Cattle Farms

An JU, Ho H, Kim J, Kim WH, Kim J, Lee S, et al.

Front Microbiol, 2018;9:3136.
PMID: 30619204 DOI: 10.3389/fmicb.2018.03136

Campylobacter jejuni is a major foodborne pathogen that is increasingly found worldwide and that is transmitted to humans through meat or dairy products. A detailed understanding of the prevalence and characteristics of C. jejuni in dairy cattle farms, which are likely to become sources of contamination, is imperative and is currently lacking. In this study, a total of 295 dairy cattle farm samples from 15 farms (24 visits) in Korea were collected. C. jejuni prevalence at the farm level was 60% (9/15) and at the animal level was 23.8% (68/266). Using the multivariable generalized estimating equation (GEE) model based on farm-environmental factors, we estimated that a high density of cattle and average environmental temperature (7 days prior to sampling) below 24°C affects the presence and survival of C. jejuni in the farm environment. Cattle isolates, together with C. jejuni from other sources (chicken and human), were genetically characterized based on analysis of 10 virulence and survival genes. A total of 19 virulence profile types were identified, with type 01 carrying eight genes (all except hcp and virB11) being the most prevalent. The prevalence of virB11 and hcp was significantly higher in isolates from cattle than in those from other sources (p < 0.05). Multilocus sequence typing (MLST) of C. jejuni isolates from three different sources mainly clustered in the CC-21 and CC-48. Within the CC-21 and CC-48 clusters, cattle isolates shared an indistinguishable pattern with human isolates according to pulsed-field gel electrophoresis (PFGE) and flaA-restriction fragment length polymorphism (RFLP) typing. This suggests that CC-21 and CC-48 C. jejuni from dairy cattle are genetically related to clinical campylobacteriosis isolates. In conclusion, the farm environment influences the presence and survival of C. jejuni, which may play an important role in cycles of cattle re-infection, and dairy cattle represent potential reservoirs of human campylobacteriosis. Thus, environmental management practices could be implemented on cattle farms to reduce the shedding of C. jejuni from cattle, subsequently reducing the potential risk of the spread of cattle-derived C. jejuni to humans through the food chain.

Matched MeSH terms: Farms
Fulltext Economics, life history and international trade data for seven turtle species in Indonesian and Malaysian farms

Andersen SK, Staerk J, Kalhor E, Natusch DJD, da Silva R, Pfau B, et al.

Data Brief, 2021 Feb;34:106708.
PMID: 33506080 DOI: 10.1016/j.dib.2020.106708

We collected data on the trade of seven turtle and tortoise species endemic to Indonesia and Malaysia (Amyda cartilaginea, Batagur borneoensis, Cuora amboinensis, Carettochelys insculpta, Heosemys annandalii, Heosemys grandis, and Heosemys spinosa). The data on those species included: operations costs of three breeding farms and one export facility; species life-history traits; and species international legal trade and confiscation data. We collected data for the facilities (one in Malaysia and three in Indonesia) using site visits and a semi-structured questionnaire. We conducted a literature review to compile relevant information on species' life-history traits to estimate breeding viability. We downloaded species-specific data on international trade from the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) Trade Database for the exporting countries (Malaysia and Indonesia) for 2000-2015. We compared legal trade with confiscation data obtained from CITES. The data in this article can provide insights into the operations of turtle breeding farms in Southeast Asia. These data can be used as a reference for the inspection of breeding farms and for legislative bodies to determine whether captive breeding for select turtle species is feasible.

Matched MeSH terms: Farms
Fulltext Key enablers in a production sharing contract operatorship transfer exercise

Ariffin Samsuri, Zainal Zakaria, Kamal Hafez Manaf, Issham Ismail

Journal of Advanced Review on Scientific Research, 2017;37(1):1-13.
MyJurnal

Production Sharing Contract (PSC) is one of the petroleum agreements mode that
are being utilized in many parts of the world in enabling exploration, development
and production of the petroleum resources at the respective locations. It was first
introduced in Indonesia in 1966, and followed by Malaysia, Vietnam, Thailand, and
Brunei. One of interesting aspects of PSC management is the operatorship
transferhandling when a PSC is nearing its expiry. When the time come, the
current PSC contractor as operator has the option to relinquish it to the host
authority to be handed over to other operator, farm it out to the other PSC
contractor to reduce the risk exposure or continue operating under a new PSC
terms. The most challenging will be to relinquish the operatorship to another
operator whereby several complexities will need to be adequately addressed to
ensure benefit preservation to the host authority, incoming operator and
outgoing operator. Therefore there is a need to adhere to key factors or enablers
to administer the operatorship transfer exercise if it occurs in the near future. The
key enablers would be able to address the operatorship transfer exercise
effectively with the objective to alleviate complications to the host authority,
outgoing operator and incoming operator. With the emphasized in the PETRONAS
Procedure & Guideline for Upstream Activities together with three case studies,
this paper proposed several key enablers to be considered for a PSC successful
operatorship transfer which is human resources, data management, asset
reliability and integrity management, supply chain management and good
relationship between parties. With identified key factors, it is hoped that any PSC
operatorship transfer will be able to be managed smoothly and will ensure
benefits to all parties concerned.

Matched MeSH terms: Farms
Yield potential of spring wheat influenced by crop residue, tillage system and nitrogen rate on irrigated land

Asad Shah, Mohammad Akmal, Mohammad Jamal Khan, Mohammad Arif

Sains Malaysiana, 2014;43:1811-1819.

Yield performance in wheat (Triticum aestivum) was compared under crop residue, tillage system and nitrogen rate treatments in cereal based cropping system. The experiments were conducted at Agronomy Research Farm, The University of Agriculture, Peshawar, in 2009-2010 and 2010-2011. Chopped crop residue on dry matter basis (5 t ha1-) of legume (Vigna unguicuata, var. Ebney) and cereal (Zea mays, var. Azam) was applied in main plots with no residue treatments and plowed with Mould Board (MB) and Cultivator as deep and shallow treatments, respectively. A month after the crop residue and tillage system treatments, field was uniformly plowed with cultivator and wheat was sown with drill in rows 25 cm apart in the month of November on both years. Both P2O55 and K2O (80 and 40 kg ha , respectively) were applied uniformly to all fields before sowing. Nitrogen as subplot treatment (0, 40, 80, 120 and 160 kg ha-1) was applied in two splits, half at 15 and the other half at 45 days after sowing with uniform cultural practices for crop growth and development. Compared to year 1, crop of year 2 showed better phenology with extended life cycle (LC). On two years average across tillage and N treatments, biological yield did not change (p<0.05) under the residue but did report lower at no-residue treatment. Nonetheless, grain yield showed a significant (p<0.05) change with the highest in legume followed by cereal and the lowest in no-residue treatments. A non-significant tiller number and significant variations in grain weight and spike m-2 were observed that influenced the grain and biological yield differently. Deep than shallow tillage resulted in better traits, which returned better biomass and grain yield. Nitrogen application from control to every increment showed a significant (p<0.05) improvement in all observations contributing in yield. The study confirms the significance of legume vs. cereal over no-crop residue incorporated through deep tillage system with optimum N (120 kg ha-1) in cereal-based cropping system for sustainable performance to sustain soil C:N for future production.

Matched MeSH terms: Farms
Climatic conditions and farm practices affected the prevalence of Aspergillus section Flavi on different types of dairy goat's feed

Azman NI, Wan-Mustapha WN, Goh YM, Hassim HA, Selamat J, Samsudin NIP

Int J Food Microbiol, 2021 Jun 02;347:109205.
PMID: 33901942 DOI: 10.1016/j.ijfoodmicro.2021.109205

The present work aimed to determine the prevalence of aflatoxigenic Aspergillus section Flavi on different types of dairy goat's feed samples obtained from four dairy goat's farms around the central region of Peninsular Malaysia, and to examine the effects of climatic conditions (temperature, relative humidity) of the dairy goat's farms, and their feeding and storage practices on the fungal prevalence of different types of dairy goat's feed. A total of 60 goat's feed samples were obtained, and their proximate composition and water activity were determined, following which they were cultivated on DRBC and AFPA for total fungal load and Aspergillus section Flavi load determination, respectively. Fungal isolates were identified morphologically, and toxigenicity potentials of Aspergillus section Flavi isolates were determined using CCA. The temperature and relative humidity data of all farms were obtained from the Malaysian Meteorological Department. The total fungal loads (on DRBC) of the goat's feed samples were log 0.767 to 7.071 CFU/g which included the common feed contaminants such as Aspergillus, Fusarium, and Penicillium. The Aspergillus section Flavi loads (on AFPA) were log 0.667 to 3.206 CFU/g. Farm A yielded the highest number of Aspergillus section Flavi isolates as well as the highest number of aflatoxigenic isolates. It was found that climatic conditions and different practices between farms positively influenced the fungal prevalence on goat's feed samples based on the Pearson correlation analysis. The prevalence of mycotoxigenic isolates on goat's feed warrants for urgent intervention to ensure that goats are being fed with nutritionally adequate and safe feed. The presence of aflatoxigenic Aspergillus section Flavi isolates indicates the risk of aflatoxin B1 contamination on the goat's feed, aflatoxicosis development in the goats, and aflatoxin M1 bio-transformation in the goat's milk. This is a potential threat to the flourishing goat's milk industry in Malaysia.

Matched MeSH terms: Farms
Fulltext Association between Lameness and Indicators of Dairy Cow Welfare Based on Locomotion Scoring, Body and Hock Condition, Leg Hygiene and Lying Behavior

B Sadiq M, Ramanoon SZ, Shaik Mossadeq WM, Mansor R, Syed-Hussain SS

Animals (Basel), 2017 Nov 05;7(11).
PMID: 29113033 DOI: 10.3390/ani7110079

Dairy cow welfare is an important consideration for optimal production in the dairy industry. Lameness affects the welfare of dairy herds by limiting productivity. Whilst the application of LS systems helps in identifying lame cows, the technique meets with certain constraints, ranging from the detection of mild gait changes to on-farm practical applications. Recent studies have shown that certain animal-based measures considered in welfare assessment, such as body condition, hock condition and leg hygiene, are associated with lameness in dairy cows. Furthermore, behavioural changes inherent in lame cows, especially the comfort in resting and lying down, have been shown to be vital indicators of cow welfare. Highlighting the relationship between lameness and these welfare indicators could assist in better understanding their role, either as risk factors or as consequences of lameness. Nevertheless, since the conditions predisposing a cow to lameness are multifaceted, it is vital to cite the factors that could influence the on-farm practical application of such welfare indicators in lameness studies. This review begins with the welfare consequences of lameness by comparing normal and abnormal gait as well as the use of LS system in detecting lame cows. Animal-based measures related to cow welfare and links with changes in locomotion as employed in lameness research are discussed. Finally, alterations in lying behaviour are also presented as indicators of lameness with the corresponding welfare implication in lame cows.

Matched MeSH terms: Farms
Fulltext Impact of organic and inorganic fertilizers on the yield and quality of silage corn intercropped with soybean

Baghdadi A, Halim RA, Ghasemzadeh A, Ramlan MF, Sakimin SZ

PeerJ, 2018;6:e5280.
PMID: 30386686 DOI: 10.7717/peerj.5280

Background: Corn silage is an important feed for intense ruminant production, but the growth of corn relies heavily on the use of chemical fertilizers. Sustainable crop production requires careful management of all nutrient sources available on a farm, particularly in corn-based cropping systems.
Methods: Experiments were conducted to determine the appropriate technique of corn-legume intercropping in conjunction with the supplemental use of chemical fertilizers, organic manure, and biofertilizers (BFs). Acetylene reduction assays (ARAs) were also performed on corn and soybean roots.
Results: Combining chemical fertilizers with chicken manure (CM) in a 50:50 ratio and applying 50% NPK+50% CM+BF produced fresh forage and dry matter (DM) yields that were similar to those produced in the 100% nitrogen (N), phosphorus (P), potassium (K) treatment. Among the lone fertilizer treatments, the inorganic fertilizer (100% NPK) treatment produced the highest DM yield (13.86 t/ha) of forage and outyielded the 100% CM (9.74 t/ha) treatment. However, when CM was combined with NPK, the resulting DM yield of forage (13.86 t/ha) was the same as that resulting from 100% NPK (13.68 t/ha). Compared with CM applications alone, combinations of NPK and CM applications resulted in increased plant height, crop growth rates (CGRs) and leaf area index (LAI), but the values of these parameters were similar to those resulting from 100% NPK application. Fertilizers in which the ratio was 50% CM+50% NPK or 50% CM+50% NPK+BF resulted in protein yields that were similar to those resulting from conventional fertilizers. Similarly, the CP content did not significantly differ between applications of the 100% NPK and 50% CM+50% NPK fertilizers. The use of BFs had no significant impact on improving either the yield or quality of forage fertilized with inorganic or organic fertilizer. Lactic acid responded differently to different fertilizer applications and was significantly higher in the fertilized plots than in the unfertilized plots. Compared with treatments of lone chemical and lone organic manure fertilizers, treatments involving applications of BF and a combination of BF and NPK or CM resulted in higher ARA values.
Discussion: There is no simple and easy approach to increase biological nitrogen fixation (BNF) in grain legumes grown as part of a cropping system under realistic farm field conditions. Overall, evidence recorded from this study proves that, compared with corn monocrops combined with CM and chemical fertilizers, corn-soybean intercrops could increase forage yields and quality, produce higher total protein yields, and reduce the need for protein supplements and chemical fertilizers.

Matched MeSH terms: Farms
Fulltext First sequence of influenza D virus identified in poultry farm bioaerosols in Sarawak, Malaysia

Bailey ES, Fieldhouse JK, Alarja NA, Chen DD, Kovalik ME, Zemke JN, et al.

Trop Dis Travel Med Vaccines, 2020;6:5.
PMID: 32190346 DOI: 10.1186/s40794-020-0105-9

In 2018, our team collected aerosols samples from five poultry farms in Malaysia. Influenza D virus was detected in 14% of samples. One sample had an 86.3% identity score similar to NCBI accession number MH785020.1. This is the first molecular sequence of influenza D virus detected in Southeast Asia from a bioaerosol sample. Our findings indicate that further study of role of IDV in poultry is necessary.

Matched MeSH terms: Farms
Fulltext LoRa Communications as an Enabler for Internet of Drones towards Large-Scale Livestock Monitoring in Rural Farms

Behjati M, Mohd Noh AB, Alobaidy HAH, Zulkifley MA, Nordin R, Abdullah NF

Sensors (Basel), 2021 Jul 26;21(15).
PMID: 34372281 DOI: 10.3390/s21155044

Currently, smart farming is considered an effective solution to enhance the productivity of farms; thereby, it has recently received broad interest from service providers to offer a wide range of applications, from pest identification to asset monitoring. Although the emergence of digital technologies, such as the Internet of Things (IoT) and low-power wide-area networks (LPWANs), has led to significant advances in the smart farming industry, farming operations still need more efficient solutions. On the other hand, the utilization of unmanned aerial vehicles (UAVs), also known as drones, is growing rapidly across many civil application domains. This paper aims to develop a farm monitoring system that incorporates UAV, LPWAN, and IoT technologies to transform the current farm management approach and aid farmers in obtaining actionable data from their farm operations. In this regard, an IoT-based water quality monitoring system was developed because water is an essential aspect in livestock development. Then, based on the Long-Range Wide-Area Network (LoRaWAN®) technology, a multi-channel LoRaWAN® gateway was developed and integrated into a vertical takeoff and landing drone to convey collected data from the sensors to the cloud for further analysis. In addition, to develop LoRaWAN®-based aerial communication, a series of measurements and simulations were performed under different configurations and scenarios. Finally, to enhance the efficiency of aerial-based data collection, the UAV path planning was optimized. Measurement results showed that the maximum achievable LoRa coverage when operating on-air via the drone is about 10 km, and the Longley-Rice irregular terrain model provides the most suitable path loss model for the scenario of large-scale farms, and a multi-channel gateway with a spreading factor of 12 provides the most reliable communication link at a high drone speed (up to 95 km/h). Simulation results showed that the developed system can overcome the coverage limitation of LoRaWAN® and it can establish a reliable communication link over large-scale wireless sensor networks. In addition, it was shown that by optimizing flight paths, aerial data collection could be performed in a much shorter time than industrial mission planning (up to four times in our case).

Matched MeSH terms: Farms
Fulltext Gender difference in safe and unsafe practice of pesticide handling in tobacco farmers of malaysia

Bin Nordin R, Araki S, Sato H, Yokoyama K, Bin Wan Muda WA, Win Kyi D

Malays J Med Sci, 2001 Jan;8(1):1-10.
PMID: 22973149 MyJurnal

To identify gender difference in safe and unsafe practice of pesticide handling in tobacco farmers of Malaysia, we conducted a 20-item questionnaire interview on storage of pesticide (4 questions), mixing of pesticide (3 questions), use of personal protective equipment and clothing while spraying pesticide (7 questions), activities during and after spraying of pesticide (5 questions), and maintenance of pesticide sprayer (1 question) in 496 tobacco farmers (395 males and 101 females) in Bachok District, Kelantan, Malaysia. Duration of employment was significantly longer in females than those in males (p<0.001). In addition, proportion with no formal education in females was significantly higher than those in males (p<0.05). The following eight common factors were extracted from the 20 questionnaires by principal components factor analysis after varimax rotation in all farmers: (1) use of personal protective equipment, (2) unsafe work habit, (3) reading and following instructions on pesticide label, (4) security, storage and disposal of pesticide container, (5) safe work habit, (6) proper handling of pesticide and maintenance of pesticide sprayer, (7) use of personal protective clothing, and (8) safe handling of pesticide. Results of analysis of covariance for the eight factor scores of all male and female farmers, controlling for educational level and duration of employment, showed that: (1) factor scores for use of personal protective equipment (p<0.001), use of personal protective clothing (p<0.001) and safe work habit (p<0.001) in females were significantly lower than those in males; (2) conversely, factor scores for reading and following instruction on pesticide label (p<0.001) and proper handling of pesticide and maintenance of pesticide sprayer (p<0.01) in males were significantly lower than those in females; and (3) there were no significant differences in other three factor scores (p>0.05). We therefore conclude that: (1) for female tobacco farmers, choice of personal attire tend to result in lower scores on use of personal protective equipment and personal protective clothing while personal hygiene practices result in lower score on safe work habit; and, (2) for male tobacco farmers, the lower scores on reading and following instruction on pesticide label and mixing pesticide and maintenance of pesticide sprayer in good condition suggests that they were not primarily involved in these activities. It is postulated that these differences in safe and unsafe practices of pesticide handling across gender is related to the choice of personal attire, personal hygiene practices and division of labour within farming households which in turn is influenced by prevailing sociocultural norms in the community.

Matched MeSH terms: Farms
Fulltext Human exposure to zoonotic malaria vectors in village, farm and forest habitats in Sabah, Malaysian Borneo

Brown R, Chua TH, Fornace K, Drakeley C, Vythilingam I, Ferguson HM

PLoS Negl Trop Dis, 2020 09;14(9):e0008617.
PMID: 32886679 DOI: 10.1371/journal.pntd.0008617

The zoonotic malaria parasite, Plasmodium knowlesi, is now a substantial public health problem in Malaysian Borneo. Current understanding of P. knowlesi vector bionomics and ecology in Sabah comes from a few studies near the epicentre of human cases in one district, Kudat. These have incriminated Anopheles balabacensis as the primary vector, and suggest that human exposure to vector biting is peri-domestic as well as in forest environments. To address the limited understanding of vector ecology and human exposure risk outside of Kudat, we performed wider scale surveillance across four districts in Sabah with confirmed transmission to investigate spatial heterogeneity in vector abundance, diversity and infection rate. Entomological surveillance was carried out six months after a cross-sectional survey of P. knowlesi prevalence in humans throughout the study area; providing an opportunity to investigate associations between entomological indicators and infection. Human-landing catches were performed in peri-domestic, farm and forest sites in 11 villages (3-4 per district) and paired with estimates of human P. knowlesi exposure based on sero-prevalence. Anopheles balabacensis was present in all districts but only 6/11 villages. The mean density of An. balabacensis was relatively low, but significantly higher in farm (0.094/night) and forest (0.082/night) than peri-domestic areas (0.007/night). Only one An. balabacensis (n = 32) was infected with P. knowlesi. Plasmodium knowlesi sero-positivity in people was not associated with An. balabacensis density at the village-level however post hoc analyses indicated the study had limited power to detect a statistical association due low vector density. Wider scale sampling revealed substantial heterogeneity in vector density and distribution between villages and districts. Vector-habitat associations predicted from this larger-scale surveillance differed from those inferred from smaller-scale studies in Kudat; highlighting the importance of local ecological context. Findings highlight potential trade-offs between maximizing temporal versus spatial breadth when designing entomological surveillance; and provide baseline entomological and epidemiological data to inform future studies of entomological risk factors for human P. knowlesi infection.

Matched MeSH terms: Farms

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