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  1. Fulltext Study of heavy metal levels among farmers of Muda Agricultural Development Authority, Malaysia
    Ghazali AR, Abdul Razak NE, Othman MS, Othman H, Ishak I, Lubis SH, et al.
    J Environ Public Health, 2012;2012:758349.
    PMID: 22536276 DOI: 10.1155/2012/758349
    Heavy metals, particularly cadmium, lead, and arsenic, constitute a significant potential threat to human health. This study was conducted to determine the levels of cadmium, lead, and arsenic in nail samples from farmers at Muda Agricultural Development Authority (MADA), Kedah, Malaysia, and evaluate factors that can contribute to their accumulations. A total of 116 farmers participated in this study. Inductively coupled plasma mass spectrometry (ICP-MS) was used to analyze concentration of heavy metals in the nail samples and questionnaires were given to participants to get demographic, health status, and their agricultural activities data. In this paper, the level of heavy metals was within the normal range and varies according to demographic factors. We found that there were significant correlations between working period with level of lead and arsenic (r=0.315 and r=0.242, resp., P<0.01) and age with lead level (r=0.175, P<0.05). Our findings suggested that agricultural activities could contribute to the accumulation of heavy metals in farmers. Hence, the control of environmental levels of and human exposure to these metals to prevent adverse health effects is still an important public health issue.
    Matched MeSH terms: Agriculture
  2. Physicochemical factors and their potential sources inferred from long-term rainfall measurements at an urban and a remote rural site in tropical areas
    Khan MF, Maulud KNA, Latif MT, Chung JX, Amil N, Alias A, et al.
    Sci Total Environ, 2018 Feb 01;613-614:1401-1416.
    PMID: 29898507 DOI: 10.1016/j.scitotenv.2017.08.025
    Air pollution can be detected through rainwater composition. In this study, long-term measurements (2000-2014) of wet deposition were made to evaluate the physicochemical interaction and the potential sources of pollution due to changes of land use. The rainwater samples were obtained from an urban site in Kuala Lumpur and a highland-rural site in the middle of Peninsular Malaysia. The compositions of rainwater were obtained from the Malaysian Meteorological Department. The results showed that the urban site experienced more acidity in rainwater (avg=277mm, range of 13.8 to 841mm; pH=4.37) than the rural background site (avg=245mm, range of 2.90 to 598mm; pH=4.97) due to higher anthropogenic input of acid precursors. The enrichment factor (EF) analysis showed that at both sites, SO42-, Ca2+ and K+ were less sensitive to seawater but were greatly influenced by soil dust. NH4+ and Ca2+ can neutralise a larger fraction of the available acid ions in the rainwater at the urban and rural background sites. However, acidifying potential was dominant at urban site compared to rural site. Source-receptor relationship via positive matrix factorisation (PMF 5.0) revealed four similar major sources at both sites with a large variation of the contribution proportions. For urban, the major sources influence on the rainwater chemistry were in the order of secondary nitrates and sulfates>ammonium-rich/agricultural farming>soil components>marine sea salt and biomass burning, while at the background site the order was secondary nitrates and sulfates>marine sea salt and biomass burning=soil components>ammonia-rich/agricultural farming. The long-term trend showed that anthropogenic activities and land use changes have greatly altered the rainwater compositions in the urban environment while the seasonality strongly affected the contribution of sources in the background environment.
    Matched MeSH terms: Agriculture
  3. Leaching potential of pesticides in a vegetable farm in the Cameron Highlands, Malaysia
    Ismail BS, Ngan CK, Cheah UB, Abdullah WY
    Bull Environ Contam Toxicol, 2004 Apr;72(4):836-43.
    PMID: 15200001 DOI: 10.1007/s00128-004-0320-5
    Matched MeSH terms: Agriculture
  4. EU28 region's water security and the effect of bioenergy industry sustainability
    Alsaleh M, Abdul-Rahim AS, Abdulwakil MM
    Environ Sci Pollut Res Int, 2020 Nov 03.
    PMID: 33141381 DOI: 10.1007/s11356-020-11425-4
    Water is an essential component of agriculture-food production. As the biomass and biofuel are known excellent sources of renewable and sustainable energy, cultivating process consumes significant quantities of water. Without sufficient, good-quality and easily accessible water, the European agriculture-food production could thus be under threat. This research analyses the impact of the water supply on the bioenergy production in the 28 European Union countries, for the 1990-2018 period within the pathway of the European Union 2030 agenda for sustainable development. The findings using the generalised least squares (GLS) technique show that bioenergy production and population density appear to decrease water supply. Precisely, the magnitude of the effects is - 0.224 and - 0.136 for developing countries and developed countries in the EU, respectively. This indicates that a serious reduction of water security is more likely to happen in developed countries than in developing countries as a result of the increase in bioenergy consumption. In the meantime, fossil fuel, income generation activities and institutional quality have already positively affected water supply. Thus, these findings implied that water scarcity is becoming one of the main obstacles for bioenergy expansion and growth. The results were also further verified by the random effect and pooled oriented least squares method. This study recommends that the Member of the European Union States should continue to increase bioenergy production in the energy mix efforts without any strenuous water security issues. Notwithstanding, there are several situations where a developing bioenergy industry is unlikely to be constrained by water shortage, and with the drive of bioenergy demand, the efforts might unlock new opportunities to adapt to water-related challenges and to improve water usage efficiencies. The authorities should illustrate organised water security and sustainable bioenergy policy by way of developing alternative strategies in reducing fossil fuel power and related CO2 emissions, accordingly to the unique characteristics of both developed and developing countries in the EU.
    Matched MeSH terms: Agriculture
  5. Fulltext Ornamental exterior versus therapeutic interior of Madagascar periwinkle (Catharanthus roseus): the two faces of a versatile herb
    Nejat N, Valdiani A, Cahill D, Tan YH, Maziah M, Abiri R
    ScientificWorldJournal, 2015;2015:982412.
    PMID: 25667940 DOI: 10.1155/2015/982412
    Catharanthus roseus (L.) known as Madagascar periwinkle (MP) is a legendary medicinal plant mostly because of possessing two invaluable antitumor terpenoid indole alkaloids (TIAs), vincristine and vinblastine. The plant has also high aesthetic value as an evergreen ornamental that yields prolific blooms of splendid colors. The plant possesses yet another unique characteristic as an amiable experimental host for the maintenance of the smallest bacteria found on earth, the phytoplasmas and spiroplasmas, and serves as a model for their study. Botanical information with respect to synonyms, vernacular names, cultivars, floral morphology, and reproduction adds to understanding of the plant while the geography and ecology of periwinkle illustrate the organism's ubiquity. Good agronomic practices ensure generous propagation of healthy plants that serve as a source of bioactive compounds and multitudinous horticultural applications. The correlation between genetic diversity, variants, and TIA production exists. MP is afflicted with a whole range of diseases that have to be properly managed. The ethnobotanical significance of MP is exemplified by its international usage as a traditional remedy for abundant ailments and not only for cancer. TIAs are present only in micro quantities in the plant and are highly poisonous per se rendering a challenge for researchers to increase yield and reduce toxicity.
    Matched MeSH terms: Agriculture/methods*
  6. Fractionally integrated time-varying volatility under structural break: evidence from Kuala Lumpur composite index
    Chin WC, Zaidi Isa, Abu Hassan Shaari Mohd. Nor
    Sains Malaysiana, 2008;37:233-237.
    This article study the influences of structural break to the fractionally integrated time-varying volatility model in Malaysian stock markets from year 1996 to 2006. A fractionally integrated autoregressive conditional heteroscedastic (FIGARCH) model combines with sudden changes of volatility is develops to study the possibility of structural change in Asian financial crisis and currency crisis. Our empirical results evidence substantially reduction in long memory clustering volatility after the inclusion of sudden changes in the volatility. Finally, the estimation, diagnostic and model selection evaluations indicate that the fractionally integrated model with structural change is out-performed compared to the standard model.
    Matched MeSH terms: Agriculture
  7. Fulltext Power Reduction with Sleep/Wake on Redundant Data (SWORD) in a Wireless Sensor Network for Energy-Efficient Precision Agriculture
    Jawad HM, Nordin R, Gharghan SK, Jawad AM, Ismail M, Abu-AlShaeer MJ
    Sensors (Basel), 2018 Oct 13;18(10).
    PMID: 30322176 DOI: 10.3390/s18103450
    The use of wireless sensor networks (WSNs) in modern precision agriculture to monitor climate conditions and to provide agriculturalists with a considerable amount of useful information is currently being widely considered. However, WSNs exhibit several limitations when deployed in real-world applications. One of the challenges faced by WSNs is prolonging the life of sensor nodes. This challenge is the primary motivation for this work, in which we aim to further minimize the energy consumption of a wireless agriculture system (WAS), which includes air temperature, air humidity, and soil moisture. Two power reduction schemes are proposed to decrease the power consumption of the sensor and router nodes. First, a sleep/wake scheme based on duty cycling is presented. Second, the sleep/wake scheme is merged with redundant data about soil moisture, thereby resulting in a new algorithm called sleep/wake on redundant data (SWORD). SWORD can minimize the power consumption and data communication of the sensor node. A 12 V/5 W solar cell is embedded into the WAS to sustain its operation. Results show that the power consumption of the sensor and router nodes is minimized and power savings are improved by the sleep/wake scheme. The power consumption of the sensor and router nodes is improved by 99.48% relative to that in traditional operation when the SWORD algorithm is applied. In addition, data communication in the SWORD algorithm is minimized by 86.45% relative to that in the sleep/wake scheme. The comparison results indicate that the proposed algorithms outperform power reduction techniques proposed in other studies. The average current consumptions of the sensor nodes in the sleep/wake scheme and the SWORD algorithm are 0.731 mA and 0.1 mA, respectively.
    Matched MeSH terms: Agriculture
  8. Fulltext Association Between Farming Activities and Plasmodium falciparum Transmission in Rural Communities in Nigeria
    Babamale OA, Opeyemi OA, Bukky AA, Musleem AI, Kelani EO, Okhian BJ, et al.
    Malays J Med Sci, 2020 May;27(3):105-116.
    PMID: 32684811 MyJurnal DOI: 10.21315/mjms2020.27.3.11
    Background: The connection between malaria-associated morbidities and farming activities has not been succinctly reported. This study aimed to address the connectivity between farming activities and malaria transmission.

    Methods: The study took place in the agricultural setting of Nigeria Edu local government (9° N, 4.9° E) between March 2016 and December 2018. A pre-tested structured questionnaire was administered to obtain information on their occupation and malaria infection. Infection status was confirmed with blood film and microscopic diagnosis of Plasmodium falciparum was based on the presence of ring form or any other blood stages. Individuals who are either critically ill or lived in the community less than 3 months were excluded from the study.

    Results: Of the 341 volunteers, 58.1% (52.9% in Shigo and 61.4% in Sista) were infected (parasitaemia density of 1243.7 parasites/μL blood). The prevalence and intensity of infection were higher among farmers (71.3%, 1922.9 parasites/μL blood, P = 0.005), particularly among rice farmers (2991.6 parasites/μL blood) compared to non-farmer participants. The occurrence and parasite density follow the same pattern for sex and age (P < 0.05). Children in the age of 6 to 10 years (AOR: 2.168, CI: 1.63-2.19) and ≥ 11 years (AOR: 3.750, CI: 2.85-3.80) groups were two-and four-fold more likely to be infected with malaria. The analysis revealed that the proximity of bush and stagnant water to the farmer (73.9%, AOR: 3.242, CI: 2.57-3.61) and non-farmer (38.1%, AOR: 1.362, CI: 1.25-1.41) habitations influence malaria transmission.

    Conclusion: This study highlights farming activities as a risk factor for malaria infection in agro-communities. Integrated malaria control measures in agricultural communities should therefore include water and environmental management practices.

    Matched MeSH terms: Agriculture
  9. Fulltext Plant disease recognition using residual convolutional enlightened Swin transformer networks
    Kalpana P, Anandan R, Hussien AG, Migdady H, Abualigah L
    Sci Rep, 2024 Apr 15;14(1):8660.
    PMID: 38622177 DOI: 10.1038/s41598-024-56393-8
    Agriculture plays a pivotal role in the economic development of a nation, but, growth of agriculture is affected badly by the many factors one such is plant diseases. Early stage prediction of these disease is crucial role for global health and even for game changers the farmer's life. Recently, adoption of modern technologies, such as the Internet of Things (IoT) and deep learning concepts has given the brighter light of inventing the intelligent machines to predict the plant diseases before it is deep-rooted in the farmlands. But, precise prediction of plant diseases is a complex job due to the presence of noise, changes in the intensities, similar resemblance between healthy and diseased plants and finally dimension of plant leaves. To tackle this problem, high-accurate and intelligently tuned deep learning algorithms are mandatorily needed. In this research article, novel ensemble of Swin transformers and residual convolutional networks are proposed. Swin transformers (ST) are hierarchical structures with linearly scalable computing complexity that offer performance and flexibility at various scales. In order to extract the best deep key-point features, the Swin transformers and residual networks has been combined, followed by Feed forward networks for better prediction. Extended experimentation is conducted using Plant Village Kaggle datasets, and performance metrics, including accuracy, precision, recall, specificity, and F1-rating, are evaluated and analysed. Existing structure along with FCN-8s, CED-Net, SegNet, DeepLabv3, Dense nets, and Central nets are used to demonstrate the superiority of the suggested version. The experimental results show that in terms of accuracy, precision, recall, and F1-rating, the introduced version shown better performances than the other state-of-art hybrid learning models.
    Matched MeSH terms: Agriculture
  10. The impact of tropical forest logging and oil palm agriculture on the soil microbiome
    Tripathi BM, Edwards DP, Mendes LW, Kim M, Dong K, Kim H, et al.
    Mol Ecol, 2016 May;25(10):2244-57.
    PMID: 26994316 DOI: 10.1111/mec.13620
    Selective logging and forest conversion to oil palm agriculture are rapidly altering tropical forests. However, functional responses of the soil microbiome to these land-use changes are poorly understood. Using 16S rRNA gene and shotgun metagenomic sequencing, we compared composition and functional attributes of soil biota between unlogged, once-logged and twice-logged rainforest, and areas converted to oil palm plantations in Sabah, Borneo. Although there was no significant effect of logging history, we found a significant difference between the taxonomic and functional composition of both primary and logged forests and oil palm. Oil palm had greater abundances of genes associated with DNA, RNA, protein metabolism and other core metabolic functions, but conversely, lower abundance of genes associated with secondary metabolism and cell-cell interactions, indicating less importance of antagonism or mutualism in the more oligotrophic oil palm environment. Overall, these results show a striking difference in taxonomic composition and functional gene diversity of soil microorganisms between oil palm and forest, but no significant difference between primary forest and forest areas with differing logging history. This reinforces the view that logged forest retains most features and functions of the original soil community. However, networks based on strong correlations between taxonomy and functions showed that network complexity is unexpectedly increased due to both logging and oil palm agriculture, which suggests a pervasive effect of both land-use changes on the interaction of soil microbes.
    Matched MeSH terms: Agriculture*
  11. Tropical soil bacterial communities in Malaysia: pH dominates in the equatorial tropics too
    Tripathi BM, Kim M, Singh D, Lee-Cruz L, Lai-Hoe A, Ainuddin AN, et al.
    Microb Ecol, 2012 Aug;64(2):474-84.
    PMID: 22395784 DOI: 10.1007/s00248-012-0028-8
    The dominant factors controlling soil bacterial community variation within the tropics are poorly known. We sampled soils across a range of land use types--primary (unlogged) and logged forests and crop and pasture lands in Malaysia. PCR-amplified soil DNA for the bacterial 16S rRNA gene targeting the V1-V3 region was pyrosequenced using the 454 Roche machine. We found that land use in itself has a weak but significant effect on the bacterial community composition. However, bacterial community composition and diversity was strongly correlated with soil properties, especially soil pH, total carbon, and C/N ratio. Soil pH was the best predictor of bacterial community composition and diversity across the various land use types, with the highest diversity close to neutral pH values. In addition, variation in phylogenetic structure of dominant lineages (Alphaproteobacteria, Beta/Gammaproteobacteria, Acidobacteria, and Actinobacteria) is also significantly correlated with soil pH. Together, these results confirm the importance of soil pH in structuring soil bacterial communities in Southeast Asia. Our results also suggest that unlike the general diversity pattern found for larger organisms, primary tropical forest is no richer in operational taxonomic units of soil bacteria than logged forest, and agricultural land (crop and pasture) is actually richer than primary forest, partly due to selection of more fertile soils that have higher pH for agriculture and the effects of soil liming raising pH.
    Matched MeSH terms: Agriculture
  12. Fulltext Impact of logging and forest conversion to oil palm plantations on soil bacterial communities in Borneo
    Lee-Cruz L, Edwards DP, Tripathi BM, Adams JM
    Appl Environ Microbiol, 2013 Dec;79(23):7290-7.
    PMID: 24056463 DOI: 10.1128/AEM.02541-13
    Tropical forests are being rapidly altered by logging and cleared for agriculture. Understanding the effects of these land use changes on soil bacteria, which constitute a large proportion of total biodiversity and perform important ecosystem functions, is a major conservation frontier. Here we studied the effects of logging history and forest conversion to oil palm plantations in Sabah, Borneo, on the soil bacterial community. We used paired-end Illumina sequencing of the 16S rRNA gene, V3 region, to compare the bacterial communities in primary, once-logged, and twice-logged forest and land converted to oil palm plantations. Bacteria were grouped into operational taxonomic units (OTUs) at the 97% similarity level, and OTU richness and local-scale α-diversity showed no difference between the various forest types and oil palm plantations. Focusing on the turnover of bacteria across space, true β-diversity was higher in oil palm plantation soil than in forest soil, whereas community dissimilarity-based metrics of β-diversity were only marginally different between habitats, suggesting that at large scales, oil palm plantation soil could have higher overall γ-diversity than forest soil, driven by a slightly more heterogeneous community across space. Clearance of primary and logged forest for oil palm plantations did, however, significantly impact the composition of soil bacterial communities, reflecting in part the loss of some forest bacteria, whereas primary and logged forests did not differ in composition. Overall, our results suggest that the soil bacteria of tropical forest are to some extent resilient or resistant to logging but that the impacts of forest conversion to oil palm plantations are more severe.
    Matched MeSH terms: Agriculture/methods*
  13. Prevalence of antibodies to influenza viruses among handlers of live pigs at three locations in Ibadan, Nigeria
    Adeola OA, Adeniji JA
    Vet. Ital., 2010 Apr-Jun;46(2):147-53.
    PMID: 20560124
    The authors investigated the prevalence of haemagglutination inhibition (HI) antibodies to four strains of influenza viruses among handlers of live pigs in Ibadan, Nigeria. Venous blood specimens were collected from thirty pig handlers (out of a total of forty-eight) at three locations in Ibadan in April and May 2008. The overall prevalence of antibodies to influenza viruses was 100%, while those of influenza A and B viruses were 68.3% and 58.3%, respectively. The prevalence of influenza A/Brisbane/59/2007 (H1N1), A/Brisbane/10/2007 (H3N2), B/Shanghai/361/2002-like and B/Malaysia/2506/2004-like was 46.7%, 90.0%, 76.7% and 40.0%, respectively. A total of 96.7% (n = 30) of pig handlers tested had polytypic influenza antibody reactions. This is the first report to document the prevalence of influenza antibodies among pig handlers in Nigeria and shows that humans who have regular and direct contact with live pigs in Ibadan are exposed to different strains of influenza viruses.
    Matched MeSH terms: Agriculture*
  14. 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: Agriculture
  15. Fulltext Comparison of the effects of two laser photobiomodulation techniques on bio-physical properties of Zea mays L. seeds
    Hasan M, Hanafiah MM, Alhilfy IHH, Aeyad Taha Z
    PeerJ, 2021;9:e10614.
    PMID: 33520446 DOI: 10.7717/peerj.10614
    Background: Laser applications in agriculture have recently gained much interest due to improved plant characteristics following laser treatment before the sowing of seeds. In this study, maize seeds were exposed to different levels of laser treatment prior to sowing to improve their field performance. The aim of this study is to evaluate the impact of pre-sowing laser photobiomodulation on the field emergence and growth of treated maize seeds.

    Methods: The maize seeds were first photobiomodulated with two lasers: 1) a helium-neon (He-Ne) red laser (632.8 nm), and 2) a neodymium-doped yttrium aluminum garnet (Nd:YAG) green laser (532 nm). Following three replications of randomized complete block design (RCBD), four irradiation treatments were applied (45 s, 65 s, 85 s, and 105 s) at two power intensities (2 mW/cm2 and 4 mW/cm2).

    Results: Based on the results, maize seeds pretreated with a green laser and 2 mW/cm2 power intensity for 105 s exhibited the highest rate of seed emergence (96%) compared to the untreated control seeds with a lower seed emergence rate (62.5%). Furthermore, maize seeds treated with a red laser for 45 s showed an increased vigor index compared to the other treatment options and the control (P 

    Matched MeSH terms: Agriculture
  16. Women's labour force participation and socioeconomic development: the case of Peninsular Malaysia, 1957-1970
    Hirschman C, Aghajanian A
    J Southeast Asian Stud, 1980 Mar;11(1):30-49.
    PMID: 12336488
    Matched MeSH terms: Agriculture
  17. Batch adsorption of methylene blue from aqueous solution by garlic peel, an agricultural waste biomass
    Hameed BH, Ahmad AA
    J Hazard Mater, 2009 May 30;164(2-3):870-5.
    PMID: 18838221 DOI: 10.1016/j.jhazmat.2008.08.084
    The potential of garlic peel (GP), agricultural waste, to remove methylene blue (MB) from aqueous solution was evaluated in a batch process. Experiments were carried out as function of contact time, initial concentration (25-200mg/L), pH (4-12) and temperature (303, 313 and 323 K). Adsorption isotherms were modeled with the Langmuir, Freundlich, and Temkin isotherms. The data fitted well with the Freundlich isotherm. The maximum monolayer adsorption capacities were found to be 82.64, 123.45, and 142.86 mg/g at 303, 313, and 323 K, respectively. The kinetic data were analyzed using pseudo-first-order and pseudo-second-order models. The results indicated that the garlic peel could be an alternative for more costly adsorbents used for dye removal.
    Matched MeSH terms: Agriculture*
  18. Malaysia culls pigs as Nipah virus strikes again
    Ahmad K
    Lancet, 2000 Jul 15;356(9225):230.
    PMID: 10963210
    Matched MeSH terms: Agriculture*
  19. Fulltext Role of oil palm breeding in wealth creation and quality of life
    Ahmad Kushairi
    Buletin Persatuan Genetik Malaysia, 2010;16(1):6-9.
    MyJurnal
    Quality of planting materials determines future successes of plantations and subsequent endeavours in the life cycle. Oil palm (Elaeis guineensis) breeding triggered an industry in Malaysia through “Plant Introduction” with the establishment of the first oil palm plantation. At the wake of the oil palm industry, plantations utilised the dura planting material. The hallmark discovery of the single gene inheritance for shell thickness led to the prolific dura x pisifera (DxP) derived tenera planting material. Subsequent parental inbred lines developed in recurrent selections, crossed and progeny tested exploiting heterosis had boosted yields. Further improvements were foresighted and executed in the widening of the genetic pool and collections of germplasm in centres of origin/diversity in Africa and Latin America. Field Genebank of the Malaysian Palm Oil Board (MPOB) forms the world’s largest ex situ oil palm conservation programme. This programme enabled the developments of elite breeding populations harbouring specialty oils and products. Meanwhile, opening of large oil palm areas by the Federal Land Development Authority (Felda) set the momentum in rapid expansion of the industry. Felda is an exemplary in wealth creation and quality of life (QOL). Resettlements of landless farmers into Felda schemes, employing modern farming, mainly in oil palm has helped eradicate poverty and uplifting QOL among settlers, employees and their families. Impacts of the success in wealth creation and its distribution leading to better QOL, rooted from breeding through the supply of quality planting materials. Phenotypic expressions of the planting materials were realised through genotypic and environment interactions; the former through breeding, the latter through agronomic practices. Efforts in oil palm breeding helped paved the way to a mammoth industry, contributing to the nation economic growths, impacting livelihood of the people. Further progress in yield is expected from clones, where breeding has a role in the supply of quality ortets. Genetic potential of planting materials can be further exploited through interdisciplinary approach in breeding, biotechnology and genomics. With continuing wealth creation, the oil palm saga continues. Once wealth is created, QOL will follow.
    Matched MeSH terms: Agriculture
  20. Bacterial diversity associated with empty oil palm fruit bunch compost as revealed by cultivation-independent analyses of PCR-amplified 16S rRNA genes
    Liew PW, Jong BC, Goh CM, Ahmad M
    J Gen Appl Microbiol, 2009 Jun;55(3):233-40.
    PMID: 19590151
    Matched MeSH terms: Agriculture
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