Search Results - "discrimination"

Survey, molecular detection and characterization of geminiviruses associated with cassava mosaic disease in Zambia by Mulenga, R.M., Legg, James P., Ndunguru, J., Miano, D.W., Mutitu, E.W., Chikoti, Patrick Chiza, Alabi, O.J.

“…Polymerase chain reaction discrimination of 226 survey samples, coupled with complete DNA-A genome sequence analysis, revealed the presence of African cassava mosaic virus (ACMV), East African cassava mosaic virus (EACMV), and East African cassava mosaic Malawi virus (EACMMV) as single or mixed infections of different proportions. …”
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Rights-based freshwater governance for the twenty-first century: beyond an exclusionary focus on domestic water uses by van Koppen, Barbara, Hellum, A., Mehta, L., Derman, B., Schreiner, B.

“…On that basis, the chapter explores concrete implications of the Comment for states’ broader infrastructure-based water services implied in the recognised need to access to infrastructure, rights to non-discrimination in public service delivery and respect of people’s own prioritisation. …”
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Characterizing the diversity of sweetpotato through growth parameters and leaf traits: Precocity and light use efficiency as important ordination factors by Ramírez, D., Gavilan, C., Barreda, C., Condori, B., Rossel, G., Mwanga, Robert O.M., Andrade, M.I., Monneveux, P., Anglin, Noelle L., Quiróz, R., Ellis, David

“…Leaf mass per area (LMA), N and P content in leaves, light response curve parameters and carbon discrimination were assessed in potted plants at early-growing period (58 days after planting). …”
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Using isozyme polymorphism to assess genetic variation within cultivated yams (Dioscorea cayenensis/Dioscorea rotundata complex) of the Republic of Benin by Dansi, A., Mignouna, H., Zoundjihékpon, J., Sangare, A., Asiedu, Robert, Ahoussou, N.

“…Additional polymorphic enzymes are needed for an accurate isozyme-based genetic discrimination of most of the cultivar groups.…”
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Computer vision for automatic quality inspection of dried figs (Ficus carica L.) in real-time by Benalia, Souraya, Cubero, Sergio, Prats-Montalbán, José M., Bernardi, Bruno, Zimbalatti, Giuseppe, Blasco, José

“…The first was based on qualitative discrimination of figs through colour assessment comparing the analysis of colour images obtained using a digital camera with those obtained according to conventional instrumental methods, i.e. colourimetry currently done in laboratories. …”
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Crop recognition at orchard level in Mediterranean conditions using time series of Sentinel-2 spectral indices by Moltó, Enrique, Izquierdo-Sanz, Héctor

“…Most remote sensing research has been focused on the discrimination of the large-scale land covers or uses, however, in Spain, crop recognition at plot level is crucial to develop management policies at different scales. …”
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Unraveling Ecophysiological Mechanisms in Potatoes under Different Irrigation Methods: A Preliminary Field Evaluation by Silva-Díaz, Cecilia, Ramírez, David A., Rodríguez-Delfín, Alfredo, Mendiburu, Felipe de, Rinza, Javier, Ninanya, Johan, Loayza, Hildo, Quiroz, Roberto

“…FI caused no yield penalization in T2 and higher recovery of carbon isotope discrimination and PMA than DI. It is suggested that moderate water quantities of early and frequently water pulses in the irrigation, promote short-term water stress memory improvement, senescence delay and more capability of recovery at late stages.…”
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The perspectives and experiences of Somali immigrants to Sweden in relation to integration by Ismael, Muktar Muhumed

“…Widespread unemployment, perceived discrimination, lack of educational background as well as social separation between the Somalis and the host, seems to challenge creating valuable social networks, which consequently resulted in difficulties in the path towards integration.…”
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Mitochondrial and nuclear multilocus phylogeny of Rhipicephalus ticks from Kenya by Kanduma, Esther G., Bishop, Richard P., Githaka, Naftaly W., Skilton, Robert A., Heyne, H., Mwacharo, J.M.

“…However, their taxonomy remains poorly resolved with limited molecular studies performed to improve inter-species discrimination. Herein, ribosomal cytochrome c oxidase I (COI), 12S ribosomal DNA (12S rDNA) and nuclear ribosomal DNA internal transcriber spacer 2 (ITS2) were analyzed in Rhipicephalus tick populations in Kenya. …”
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Climate Smart Crop-Small Ruminant Value Chain: a Rapid Assessment of Gender Gaps and Opportunities In Doyogena, SNNPR, Ethiopia by Tadesse, Meron, Ambaw, Gebermedihin, Mungai, Catherine, Kuma, Simegn, Radeny, Maren A.O., Tamene, Lulseged D., Auma, Joseph, Solomon, Dawit

“…Through FDGs, KIIs, and household surveys, the RGA identified gender gaps such as differences in access to and control over productive assets/resources, limited decision-making power by women, lack of specific leadership development program by the government to promote women's participation in decision-making processes, restricted mobility, lack of access to capacity building, formal financial services including credit, and production and market information, lack of targeted policy which adequately support and offer legal protection to women, male-labor shortage and systematic discrimination from extension provision services, challenges of food security, ownership of fewer and smaller farm plots, and lack of coordinated plans and platforms for intervention by stakeholders and gender advocates in the district. …”
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Applying agroclimatic seasonal forecasts to improve rainfed maize agronomic management in Colombia by Ordoñez, Leonardo, Vallejo, Eliana, Amariles, Daniel, Mesa, Jeison, Esquivel, Alejandra, Llanos Herrera, Lizeth, Prager, Steven D., Segura, Cristian, Valencia, Jhon Jairo, Duarte, Carmen Julio, Rojas, Diana Carolina, Obando, Diego, Ramírez Villegas, Julián Armando

“…We find that the agroclimatic models perform well at discriminating yield categories (above, below, and normal) with discrimination capacity of up to 70–80 % for the ‘below normal’ and ‘above + below normal’ categories. …”
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Understanding the gap between the gender equality and social inclusion policy and implementation in the energy sector: the case of Nepal by Buchy, Marlene, Shakya, Shristi

“…The aim of this research is also to understand why Nepal’s public energy institutions, despite a constitutional commitment to gender equality and non-discrimination based on caste, class, ethnicity and religion, seem so reluctant to mainstream GESI within its policies and practice. …”
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To eat or not to eat – Uncovering gender normative biases in Food Environment by Shijagurumayum, Meghajit, Rietveld, Anne M., Farnworth, Cathy Rozel

“…Results indicated that gender-based food discrimination is common across the world, albeit modes and severity vary, with women being disadvantaged both in terms of food-intake quantity (quantity) and quality (nutrients). …”
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Why are women more food insecure than men? Exploring socio-economic drivers and the role of COVID-19 in widening the global gender gap by Mane, Erdgin, Giaquinto, Annarita Macchioni, Cafiero, Carlo, Viviani, Sara, Anriquez, Gustavo

“…The differences by sex, residence, and age were significant even after controlling for income, education, employment, marital status, and household composition, indicating that other unobserved factors, including gender norms and discrimination, continue to hinder women’s food security. …”
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Rethinking food aid to fight AIDS by Kadiyala, Suneetha, Gillespie, Stuart

“…It is socially invisible, complicated by silence, denial, stigma, and discrimination. While it affects both rich and poor, it is the poor who are most severely impacted. …”
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Intrahousehold food distribution in the Philippines: A food share over energy share perspective by Angeles-Agdeppa, Imelda, Bouis, Howarth E., Briones, Roehlano M., Espineli, Isable B., Maniego, Ma. Lynell V.

“…This potential inequality, which significantly impacts micronutrient malnutrition in developing countries, can be influenced by the gender-related sociocultural norms.This article uses a “food share over energy share (FS/ES)” methodology applied to the Philippines 2013 intrahousehold individual food consumption survey to examine patterns of dietary quality by age and gender.No pattern of age or gender discrimination is found; females consume most nonstaple foods somewhat more intensively than males. …”
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Transgenic maize phosphoenolpyruvate carboxylase alters leaf–atmosphere CO2 and 13CO2 exchanges in Oryza sativa by Giuliani, Rita, Karki, Shanta, Covshoff, Sarah, Lin, Hsiang-Chun, Coe, Robert A., Koteyeva, Nuria K., Evans, Marc A., Quick, W. Paul, von Caemmerer, Susanne, Furbank, Robert T., Hibberd, Julian M., Edwards, Gerald E., Cousins, Asaph B.

“…In the PEPC-OE plants, the estimated fraction of carboxylation by PEPC (β) was ~6% and leaf net biochemical discrimination against 13CO2(Δbio)(Δbio) was ~ 2‰ lower than in WT. …”
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Knockdown of glycine decarboxylase complex alters photorespiratory carbon isotope fractionation in Oryza sativa leaves by Giuliani, Rita, Karki, Shanta, Covshoff, Sarah, Lin, Hsiang-Chun, Coe, Robert A., Koteyeva, Nuria K., Quick, W. Paul, von Caemmerer, Susanne, Furbank, Robert T., Hibberd, Julian M., Edwards, Gerald E., Cousins, Asaph B.

“…Additionally, under these conditions, the gdch knockdown plants had greater leaf net discrimination against (CO2)-C-13 (Delta(o)) than the wild-type. …”
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From Digital Divide to Opportunity: Digital Solutions to Transform Food, Land and Water Systems for Gender Equality, Youth Empowerment and Social Inclusion by Malhotra, Aayushi, Lutomia, Cosmas, Joshi, Deepa, Lecoutere, Els, Malapit, Hazel J., Fisher, Monica, Khalid, Sidra

“…Without the understanding to transform inequalities, digitalization could deepen gender inequalities and even create new forms of discrimination (Staab et al. 2024; Sterling 2021). Some fear that digitalization might even make for a new form of gender inequality (Judy Wajcman et al., 2020). …”
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Diversity and morphological characterization of Musa spp. in North Kivu and Ituri provinces, Eastern Democratic Republic of Congo by Sivirihauma, Charles, Ocimati, W., Valimuzigha, K., Karamura, D., Adheka, J., Ibanda, B., Dhed’a, B., Kamira, M., Blomme, Guy

“…Twenty-three of the 34 Musa descriptors contributed more to the discrimination of the cultivars identified across the provinces and were therefore used for grouping the cultivars using principal component analysis (PCA). …”
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