Search Results - "geographer"

Strategies for identifying stable lentil cultivars (Lens culinaris Medik) for combating hidden hunger, malnourishment, and climate variability by Aski, Muraleedhar, Mishra, Gyan Prakash, Tokkas, Jayanti P., Yadav, Prachi, Rai, Neha, Bansal, Ruchi, Singh, Akanksha, Gupta, Sanjeev, Kumar, Jitendra, Parihar, Ashok, Agrawal, Shiv Kumar, kumar, vinod, Saxsena, Ashok Kumar, Ranjan Das, Tapas, KUMAR, ANIL, Dikshit, Harsh

“…We used GGE(Genotype, Genotype x Environment interactions) and AMMI (Additive Main effects and Multiplicative Interaction) models to study genetic stability and GE(Genotype x Environment interactions) for grain Fe, Zn, Al, and anti-nutritional factors like phytic acid content in sixteen commercially produced lentil cultivars over several different six geographical locations across India. Significant genetic variability was evident in the Fe and Zn levels of different genotypes of lentils. …”
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Current and potential use of animal disease data by stakeholders in the global south and north by Grace, Delia, Amenu, Kebede, Daborn, C.J., Knight-Jones, Theodore J.D., Huntington, B., Young, S., Poole, Elizabeth J., Rushton, J.

“…The Global Burden of Animal Diseases (GBADs) will generate information on animal disease burdens by species, production system, type and gender of farmer and consumer, geographical region, and time period. To understand the demand for burden of animal disease (BAD) data and how end-users might benefit from this, we reviewed the literature on animal diseases prioritisation processes (ADPP) and conducted a survey of BAD information users. …”
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Achieving sustainable cocoa intensification in Cameroon: current constraints and effectiveness of service delivery by Essougong, U.P.K.

“…As a result, the effectiveness and efficiency of existing interventions was limited, resulting in inadequate geographical coverage and the exclusion of some farmers from the service delivery stream. …”
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Phone surveillance, from scratch: Novel sample design features of the nationally representative Myanmar Household Welfare Survey (MHWS) by Myanmar Agriculture Policy Support Activity

“…We show that the phone-based MHWS has broader geographical coverage than previous national surveys, reaching 310 of Myanmar’s 330 townships. …”
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Nutrition profiles of farm households across different farming systems in Ethiopia: Unpacking the determinants and implications for nutrition-sensitive interventions by Desalegn, B.B., Biazin, B., Amede, T., Low, Jan W.

“…In the predominantly rain-fed and smallholder-based farming systems of Ethiopia, production diversity and livelihood strategies of the farm households vary across geographic areas. However, the effects of household socioeconomic characteristics, production diversity, and household incomes on nutrition profiles in distinct settings have been inadequately understood. …”
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Malawi Soil Profile Data – Malawi Land Resources Evaluation Project, 1987 to 1991 by Ministry of Agriculture, Government of Malawi, United Nations Development Program, Food and Agriculture Organization of the United Nations

“…Weather data were analyzed to generate averages for various indicators for use in mapping the agro-climatological zones of Malawi at the same geographic scale. The soils and agroclimatic maps developed were then overlaid to develop a ‘land unit’ map for Malawi. …”
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A community-based cluster randomised controlled trial to evaluate the effectiveness of different bundles of nutrition-specific interventions in improving mean length-for-age z scor... by Billah, Masum, Ferdous, Tarana E., Karim, Mohd Anisul, Dibley, Michael J., Raihana, Shahreen, Moinuddin, Md., Choudhury, Nuzhat, Ahmed, Tahmeed, Hoque, D. M. Emdadul, Menon, Purnima, El Arifeen, Shams

“…Background Prevalence of stunting among under-five children in Bangladesh is 36%, varying with geographic and socio-economic characteristics. Previously, research groups statistically modelled the effect of 10 individual nutrition-specific interventions targeting the critical first 1000 days of life from conception, on lives saved and costs incurred in countries with the highest burden of stunted children. …”
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Combining intensive counseling by frontline workers with a nationwide mass media campaign has large differential impacts on complementary feeding practices but not on child growth:... by Menon, Purnima, Nguyen, Phuong Hong, Saha, Kuntal K., Khaled, Adiba, Sanghvi, Tina, Baker, Jean, Afsana, Kaosar, Haque, Raisul, Frongillo, Edward A., Ruel, Marie T., Rawat, Rahul

“…We derived difference-in-difference impact estimates (DDEs), adjusting for geographic clustering, infant age, sex, differences in baseline characteristics, and differential change in characteristics over time. …”
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Dietary diversity predicts the adequacy of micronutrient intake in pregnant adolescent girls and women in Bangladesh, but use of the 5-group cutoff poorly identifies individuals wi... by Nguyen, Phuong Hong, Huybregts, Lieven, Sanghvi, Tina, Tran, Lan Mai, Frongillo, Edward A., Menon, Purnima, Ruel, Marie T.

“…Multiple linear regression models adjusted for geographical clustering assessed the association between WDDS-10 and MPA. …”
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Evaluating risk of aflatoxin field contamination from climate change using new modules inside DSSAT by Thomas, Timothy S., Robertson, Richard D., Boote, Kenneth J.

“…The analysis is done at a very fine geographic resolution so that problem areas within countries are also identified. …”
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Integrating nutrition interventions into an existing maternal, neonatal, and child health program increased maternal dietary diversity, micronutrient intake, and exclusive breastfe... by Nguyen, Phuong Hong, Kim, Sunny S., Sanghvi, Tina, Mahmud, Zeba, Tran, Lan Mai, Shabnam, Sadia, Aktar, Bachera, Haque, Raisul, Afsana, Kaosar, Frongillo, Edward A., Ruel, Marie T., Menon, Purnima

“…We derived difference-in-difference effect estimates, adjusted for geographic clustering and infant age and sex. Results Coverage of interpersonal counseling was high; >90% of women in the nutrition-focused MNCH group were visited at home by health workers for maternal nutrition and breastfeeding counseling. …”
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Disaster risk management of land and water-related natural hazards for Africa’s central highlands: Rwanda, Burundi, and the Democratic Republic of Congo - a review report by Lundh, A., Barron, J., Cofie, Olufunke O., Tilahun, Seifu A.

“…The use of heterogeneous data sets and geographical regions in these risk maps may lead to diverging interpretations of potential risks and ‘hot spots’ in spatial terms and the underlying drivers of those risks. …”
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A global FAOSTAT reference database of cropland nutrient budgets and nutrient use efficiency (1961–2020): nitrogen, phosphorus and potassium by Ludemann, Cameron I., Wanner, Nathan, Chivenge, Pauline, Dobermann, Achim, Einarsson, Rasmus, Grassini, Patricio, Gruere, Armelle, Jackson, Kevin, Lassaletta, Luis, Maggi, Federico, Obli-Laryea, Griffiths, van Ittersum, Martin K., Vishwakarma, Srishti, Zhang, Xin, Tubiello, Francesco N.

“…Results highlight the wide range in nutrient use and nutrient use efficiencies across geographic regions, nutrients, and time. The average N balance on global cropland has remained fairly steady at about 50–55 kg ha−1 yr−1 during the past 15 years, despite increasing N inputs. …”
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Global whole-genome comparison and analysis to classify subpopulations and identify resistance genes in weedy rice relevant for improving crops by Han, Zhenyun, Li, Fei, Qiao, Weihua, Zheng, Xiaoming, Cheng, Yunlian, Zhang, Lifang, Huang, Jingfen, Wang, Yanyan, Lou, Danjing, Xing, Meng, Fan, Weiya, Nie, Yamin, Guo, Wenlong, Wang, Shizhuang, Liu, Ziran, Yang, Qingwen

“…Our results also suggested LM8 may have originated in a subtropical or tropical geographic region. Moreover, the comparisons with Nipponbare (NIP) and Shuhui498 (R498) revealed many specific structure variations (SVs) in the LM8 genome and fewer SVs between LM8 and NIP than between LM8 and R498. …”
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Phenotypic variation and the impact of admixture in the Oryza rufipogon Species Complex (ORSC) by Eizenga, Georgia C., Kim, Hyunjung, Jung, Janelle K. H., Greenberg, Anthony J., Edwards, Jeremy D., Naredo, Maria Elizabeth B., Banaticla-Hilario, Maria Celeste N., Harrington, Sandra E., Shi, Yuxin, Kimball, Jennifer A., Harper, Lisa A., McNally, Kenneth L., McCouch, Susan R.

“…The ORSC comprises perennial, annual and intermediate forms which were historically designated as O. rufipogon, O. nivara, and O. sativa f. spontanea (or Oryza spp., an annual form of mixed O. rufipogon/O. nivara and O. sativa ancestry), respectively, based on non-standardized morphological, geographical, and/or ecologically-based species definitions and boundaries. …”
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Participatory Evaluation of Climate-Smart Risk Maps and Adaptation Plans (CS-MAP) at Community Level for the Coastal Agriculture of Bangladesh by Ali, A M M Mostafa, Rahman, Md. Mostafizur, Saha, Champa Rani, Rahman, Syed Arman Akib, Haque, Md. Ehsanul, Ryhan, Md Abu, Yen, Bui Tan, Nelson, Katherine, Vu, Trang, Vu, Quyet, Tran, Nguyen Bao, Salahuddin, Ahmad

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Effective coverage for maternal health: Operationalising effective coverage cascades for antenatal care and nutrition interventions for pregnant women in seven low- and middle-inco... by Sheffel, Ashley, Carter, Emily, Heidkamp, Rebecca, Hossain, Aniqa Tasnim, Katz, Joanne, Kim, Sunny S., Lama, Tsering Pema, Marchant, Tanya, Perin, Jamie, Requejo, Jennifer, Walton, Shelley, Munos, Melinda K.

“…We developed theoretical coverage cascades, defined health facility readiness and provision/experience of care scores and linked the facility-based scores to household survey data based on geographic domain and facility type. We then estimated the coverage cascade steps for each service by country. …”
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Environmental risk factors associated with community diarrheal disease in Ethiopia by LaPolt, D., Smith, S., Gazu, Lina, Alonso, Silvia, Teshale, A.M., Azmeraye, B.M., Ayana, G.M., Angaw, D.A., Degefaw, D., Garsow, A.V., Beczkiewicz, A., Yimer, G., Krakowski, M.J., Scharff, R., Seyoum, E.T., Kowalcyk, B.

“…Identifying factors associated with diarrhea across geographical regions and age groups can inform resource allocation toward water infrastructure, healthcare, and disease mitigation. …”
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Hyperendemicity of Rift Valley fever in Southwestern Uganda associated with the rapidly evolving lineage C viruses by Bakamutumaho, B., Juma, John, Clancey, E., Nyakarahuka, L., Situma, S., Odinoh, R., Dawa, J., Nasimiyu, C., Eskew, E.A., Balinandi, S., Mulei, S., Kayiwa, J., Klena, J.D., Shoemaker, T.R., Whitmer, S.L.M., Montgomery, J.M., Schieffelin, J., Lutwama, J., Muruta, A., Bosa, H.K., Nuismer, S.L., Oyola, Samuel O., Breiman, R.F., Njenga, M.K.

“…Introduction: Recent Rift Valley fever (RVF) epidemiology in eastern Africa region is characterized by widening geographic range and increasing frequency of small disease clusters. …”
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Genetic diversity and population structure of a core collection of Mediterranean durum wheat accessions using DArTseq markers by Laribi, Marwa, Ben M’Barek, Sarrah, Velasco-Cuervo, Sandra M., Hwang, Sheau-Fang, Yahyaoui, Amor H., Strelkov, Stephen E.

“…DAPC was most effective in distinguishing populations based on either their level of improvement or their geographical origin. Conclusions This study highlighted the extent of genetic exchange in durum wheat among Mediterranean countries and further supported two primary dispersal pathways: the northern route (north and east of the Mediterranean basin) and the southern route, including North Africa and the Iberian Peninsula. …”
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