Search Results - Spectrum analysis.

Synopsis: Identifying farm typologies in Rwandan agriculture: A framework for improving targeted interventions by Benimana, Gilberthe Uwera, Warner, James, Mugabo, Serge

“…Research from a recent IFPRI agricultural survey indicates that there is a broad spectrum of commercial engagement by Rwandan farmers. …”
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Flood and salinity management in the Mekong Delta, Vietnam by Tuan, L.A., Hoanh, Chu Thai, Miller, F., Sinh, B.T.

“…This paper offers an analysis of current state of knowledge of the subject drawn from a broad spectrum of nearly 100 publications. …”
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Kenya's agrifood system: Structure and drivers of transformation by Xinshen Diao, Pauw, Karl, Smart, Jenny, Thurlow, James

“…By promoting and investing in several value chains simultaneously, policymakers can leverage synergies and mitigate trade-offs across development outcomes associated with specific value chains. The RIAPA analysis here suggests that joint promotion of the pulses and oilseeds, fruits and nuts, and cattle and dairy value chains will be most effective at impacting the full spectrum of development outcomes tracked in the model, including poverty, growth, jobs, and diets. …”
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Mapping climate change adaptive capacity and vulnerability of smallholder agricultural livelihoods in Central America: ranking and descriptive approaches to support adaptation stra... by Bouroncle, Claudia, Imbach, Pablo A., Rodríguez Sánchez, Beatriz, Medellín M., Claudia, Martinez Valle, Armando, Läderach, Peter

“…Our results suggest that a full spectrum of adaptation levels and strategies must be considered in the region to achieve different adaptation goals. …”
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Applicability of hyperspectral imaging during salinity stress in rice for tracking Na+ and K+ levels in planta by Pabuayon, Isaiah Catalino M., Pabuayon, Irish Lorraine B., Singh, Rakesh Kumar, Ritchie, Glen L., de los Reyes, Benildo G.

“…Such an approach can also be very inaccurate and prone to erroneous biological interpretation. Analysis by Hyperspectral Imaging (HSI) is an emerging non-destructive alternative for tracking plant nutrient status in a time-course with higher accuracy and reduced cost for chemical analysis. …”
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The influence of improved wheat and maize varieties on infant mortality in China by Wang, Xiaobing, Liu, Xinyu, Min, Shi, Jin, Songqing, Huang, Jikun, Rozelle, Scott, Feng, Jieyuan, Boddupalli, Prasanna

“…We investigate potential mechanisms driving this relationship, including increased grain production, improved infant nutrition, and changes in maternal characteristics. Additionally, our analysis unveils a spectrum of heterogeneous relationships between high-yielding crop varieties adoption and infant mortality across factors such as infant gender, maternal characteristics, and policy regulation. …”
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The influence of computable general equilibrium models on policy by Devarajan, Shantayanan, Robinson, Sherman

“…Applied models are usually larger, seek to capture important institutional characteristics of the economy being modeled, and encompass a wider spectrum of issues; but they are vulnerable to the black-box syndrome and violation of Occam’s razor. …”
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Identification of resistance genes effective against rice bacterial blight pathogen in eastern India by Shanti, Marella Lalitha, George, M. L. C., Cruz, C. M. Vera, Bernardo, M.A., Nelson, R.J., Leung, H., Reddy, J.N., Sridhar, R.

“…Significant differences in the distribution of haplotypes were observed among regions. Virulence analysis of the pathogen collection revealed nine pathotypes. …”
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Genomics insight on passion fruit viral disease complexity by Munguti, F., Nyaboga, E.N., Holton, Timothy, Kreuze, J.F., Maina, S.

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Investigation of aquaculture dynamics at a Ramsar site, using earth observation systems in conjunction with a socio-economic assessment by Nagabhatla, Nidhi, Pattnaik, C., Senaratna Sellamuttu, Sonali, Prasad, N., Wickramasuriya, R., Finlayson, C. Max

“…A comprehensive temporal analysis (1977-2007) provided a structural base to schematically analyse the dynamics of biophysical and ecological changes to the wetland by effectively using a spectrum of remote sensing data. …”
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Mapping climate change adaptive capacity and vulnerability of smallholder agricultural livelihoods in Central America: ranking and descriptive approaches to support adaptation stra... by Bouroncle, Claudia, Imbach, Pablo, Rodríguez Sánchez, Beatriz, Medellín, Claudia, Martínez Valle, Armando Isaac, Läderach, Peter R.D.

“…Our results suggest that a full spectrum of adaptation levels and strategies must be considered in the region to achieve different adaptation goals. …”
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Complete sequence of three different biotypes of tomato spotted wilt virus (wild type, tomato Sw-5 resistance-breaking and pepper Tsw resistance-breaking) from Spain by Debreczeni, Diana E., Lopez, Carmelo, Aramburu, Jose, Daros, José A., Soler, Salvador, Galipienso, Luis, Falk, Bryce W., Rubio, Luis

“…Breeding resistant cultivars has been the most successful method so far for TSWV disease control, but only two genes have been found to confer resistance against a wide spectrum of TSWV isolates: Sw-5 in tomato and Tsw in pepper. …”
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Predation by Nesidiocoris tenuis on Bemisia tabaci and injury to tomato by Calvo, Javier, Bolckmans, Karel, Stansly, Philip A., Urbaneja, Alberto

“…The mirid bug Nesidiocoris tenuis (Reuter) commonly appears in large numbers in protected and open-air tomato crops where little or no broad-spectrum insecticides are used. Nesidiocoris tenuis is known to be a predator of whiteflies, thrips and several other pest species. …”
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Identification and fine mapping of a new gene, BPH31 conferring resistance to brown planthopper biotype 4 of India to improve rice, Oryza sativa L by Prahalada, G.D., Shivakumar, N., Lohithaswa, H.C., Sidde Gowda, D.K., Ramkumar, G., Kim, Sung-Ryul, Ramachandra, C., Hittalmani, Shailaja, Mohapatra, Trilochan, Jena, Kshirod K.

“…Genetic analysis and fine mapping confirmed the presence of a single dominant gene, BPH31, in CR2711–76 conferring BPH resistance. …”
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Prediction of soil nutrients through PLSR and SVMR models by VIs-NIR reflectance spectroscopy by Singha, Chiranjit, Swain, Kishore Chandra, Sahoo, Satiprasad, Govind, Ajit

“…Though soil nutrients play important roles in maintaining soil fertility and crop growth, their estimation requires direct soil sampling followed by laboratory analysis incurring huge cost and time. In this research work, soil nutrients were predicted using VIs-NIR reflectance spectroscopy (range 350–2500 nm) with Partial Least Squares Regression (PLSR) and Support Vector Machine Regression Model (SVMR) model through principal component analysis. …”
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Forage lignocellulose is an important factor in driving the seasonal dynamics of rumen anaerobic fungi in grazing yak and cattle by Zeyi Liang, Jianbo Zhang, Ahmad, A.A., Han Jianlin, Gharechahi, J., Mei Du, Juanshan Zheng, Peng Wang, Ping Yan, Salekdeh, G.H., Xuezhi Ding

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Diversity of Salmonella enterica phages isolated from chicken farms in Kenya by Gunathilake, K.M.D., Makumi, Angela, Loignon, S., Tremblay, D., Labrie, S., Svitek, Nicholas, Moineau, S.

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Discriminating Robusta coffee (Coffea canephora) cropping systems using leaf-level hyperspectral data by Kebede, G., Mudereri, B.T., Abdel-Rahman, E.M., Mutanga, O., Landmann, T., Odindi, J., Motisi, N., Pinard, F., Tonnang, H.E.Z.

“…Specifically, we focus on the spectral analysis of three types of Robusta coffee CSs—those integrating agroforestry, those combined with banana cultivation, and those in full sun exposure. …”
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Designing a monitoring plan for microbial water quality and waterborne antimicrobial resistance in the Akaki Catchment, Ethiopia by Haile, Alemseged Tamiru, Kibret, M., Haileselassie, M. M., Anley, K. A., Bekele, T. W., Kassa, J. M., Demissie, Kirubel, Werner, D., Graham, D., Mateo-Sagasta, Javier

“…Hotspots were identified based on chemical oxygen demand, dissolved oxygen, ammonia, and extended-spectrum ßeta-lactamase (ESßL)-producing Escherichia coli and Salmonella enteritidis/Shigella flexneri data. …”
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It’s a small world after all: Defining smallholder agriculture in Ghana by Chamberlin, Jordan

“…Using landholding size as an organizational filter, we performed a basic descriptive analysis of smallholder traits in Ghana, using data from the 2005–2006 Ghana Living Standards Survey (GLSS5). …”
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