Search Results - "discrimination"

A framework for analyzing participatory plant breeding approaches and results by Sperling, L., Ashby, Jacqueline A., Smith, M.E., Weltzien, Eva, McGrath, S.

“…This article aims to set up a framework for differentiating among PPB approaches. Only by discriminating among cases can one understand how each PPB approach can lead to a different outcome, and so be able to make informed choices about which approach to pursue. …”
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Eco-geographical structuring and morphological diversities in Ethiopian donkey populations by Kefen, E., Beja-Pereira, A., Han, J.L., Haile, Aynalem, Mohammed, Y.K., Dessie, Tadelle

“…Percent assignment of discriminant function analysis showed that, on average 64.83% of individuals were classified within their respective populations implying that populations were distinct. …”
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Use of multivariate techniques in studying the flour making properties of some CMD resistant cassava clones by Shittu, T.A., Sanni, Lateef O., Awonorin, S.O., Maziya-Dixon, B.B., Dixon, A.

“…Due to the peculiarity of the experimental data generated, two protocols of applying multivariate statistical techniques were evaluated for discriminating the cassava clones. By first applying principal component analysis (PCA), followed by cluster analysis (CA) and finally, discriminant function analysis (DFA) of the experimental data, it was possible to achieve about 87% correct classification of the cassava clones. …”
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Community perception of biodiversity conservation within protected areas in Benin by Vodouhê, F.G., Coulibaly, O., Adégbidi, A., Sinsin, B.

“…We collected socio-demographic data from 164 residents on their awareness of conservation methods. We used Stepwise Discriminant Analysis to differentiate the variables that had the greatest power for discriminating between local residents' perception to conserve or not biodiversity and to manage the park. …”
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Early detection of mechanical damage in mango using NIR hyperspectral images and machine learning by Vélez-Rivera, Nayeli, Gómez-Sanchís, Juan, Chanona-Perez, Jorge, Carrasco, Juan José, Millán-Giraldo, Mónica, Lorente, Delia, Cubero, Sergio, Blasco, José

“…Images of damaged and intact areas of mangos were acquired in the range 650–1100 nm using a hyperspectral computer vision system and then analysed to select the most discriminating wavelengths for distinguishing and classifying the two zones. …”
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Characterisation and transferability of transcriptomic microsatellite markers for Nothofagus species by El Mujtar, Veronica Andrea, Lopez, Micaela, Amalfi, Sabrina, Pomponio, Maria Florencia, Marcucci Poltri, Susana Noemi, Torales, Susana Leonor

“…Discriminant molecular markers are required for research on population genetics, as well as evolutionary studies involving identification of hybrids and parental species, or detection of the genome regions under selection. …”
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Volatile Profile Characterization of Extra Virgin Olive Oils from Argentina by HS-SPME/GC-MS and Multivariate Pattern Recognition Tools by Fernández, María de Los Ángeles, Assof, Mariela Vanesa, Jofre, Viviana Patricia, Silva, María Fernanda

“…The analytical data association with multivariate analysis constitutes a reliable analytical tool with potential ability to discriminate monovarietal extra virgin olive oil from Argentina.…”
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Effect of providing citrus pulp‑integrated diet on fecal microbiota and serum and fecal metabolome shifts in crossbred pigs by Belloumi, Dhekra, Calvet, Salvador, Roca, Marta Isabel, Ferrer, Pablo, Jiménez-Belenguer, Ana, Cambra-López, María, García-Rebollar, Paloma, Climent, Eric, Martínez-Blanch, Juan, Tortajada, Marta, Chenoll, Empar, Bermejo, Almudena, Cerisuelo, Alba

“…Orthogonal partial least squares discriminant analysis plotted a clear separation of fecal and serum metabolites between groups. …”
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Strategies for improving adoption of soil-fertility technologies in Rwanda by Bizimana, Claude

“…The results of the analysis, using household survey data, principal components, and linear discriminant analysis, show that farm fragmentation, age, wealth, and education are the most important factors influencing adoption of the two soil-fertility technologies.…”
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Grain yield stability of soybean (Glycine Max (L.) Merrill) for different stability models across diverse environments of Ethiopia by Habtegebriel, M.H., Abebe, A.T.

“…Bako and Metu were identified as the most discriminating environments. Mega environments and the best yielding soybean genotypes on each mega environment were revealed by the GGE biplot analysis model. …”
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Changes in reflectance of rice seedlings during planthopper feeding as detected by digital camera: Potential applications for high-throughput phenotyping by Horgan, Finbarr G., Jauregui, Artzai, Peñalver Cruz, Ainara, Crisol-Martínez, Eduardo, Bernal, Carmencita C.

“…Analysis of digital images was used to discriminate variety responses to the two planthoppers. …”
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Molecular and immunological characterisation of Theileria parva stocks which are components of the Muguga cocktail used for vaccination against East Coast fever in cattle by Bishop, Richard P., Geysen, D., Spooner, P.R., Skilton, Robert A., Nene, Vishvanath M., Dolan, T.T., Morzaria, S.P.

“…The T. parva Serengeti-transformed stock did not contain a 130 base pair insert within the p67 sporozoite antigen gene, which has been observed previously in most T. parva parasites isolated from buffalo, and could not be discriminated from T. parva Muguga at any of the four single copy loci. …”
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Assessment of early-maturing maize hybrids and testing sites using GGE biplot analysis by Oyekunle, M., Haruna, A., Badu-Apraku, Baffour, Usman, I.S., Mani, H., Ado, S.G., Olaoye, G., Obeng-Antwi, K., Abdulmalik, R.O., Ahmed, H.O.

“…The GGE biplot analysis identified Samaru, Kafin Soli, and Minjibir in Nigeria and Nyankpala, Damongo, and Fumesua in Ghana as the most discriminating locations. Minjibir (Nigeria) and Nyankpala (Ghana), being most discriminating and representative locations, were considered the ideal testing sites for the respective countries. …”
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Comparative assessment of yield potentials of improved cowpea breeding lines using performance index and ranking methods by Ajeigbe, Hakeem A., Mohammed, S., Singh, B.

“…However, these methods are unable to discriminate among a smaller group of varieties which are not statistically significantly different from each other. …”
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Agricultural growth is the key to poverty alleviation in low-income developing countries by Pinstrup-Andersen, Per, Pandya-Lorch, Rajul

“…This includes trade, macro, and sectoral policies that do not discriminate against agriculture, and policies that provide appropriate incentives for the sustainable management of natural resources.…”
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Tackling Virus Resistance by International Potato Center

“…The crossing blocks have been used to generate populations for SPVD resistance and molecular marker development. The procedure to discriminate SPVD susceptible, tolerant and resistant varieties has been optimized.…”
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Characterization and classification of the compositional quality of milk from river buffaloes (Bubalus bubalis) and cows (Bos spp.) in Colombia by Barragán Hernández, W. A., Mahecha Ledesma, L., Angulo Arizala, J., Olivera Angel, M.

“…The categorized database was then randomly separated into two sets (training and validation) and a discriminant analysis was applied. In total, 37.3% of river buffalo milk samples were classified as N (6.80% fat, 4.34% protein, and 16.80% TS), 13% as HQ (9.41% fat, 4.93% protein, and 19.50% TS), and 43.7% as PQ (3.95% fat, 3.92% protein, and 13.7% TS). …”
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Genetic analysis of grain yield and other traits of extraearly yellow maize inbreds and hybrid performance under contrasting environments by Badu-Apraku, Baffour, Oyekunle, M.

“…Results of repeatability analysis showed that the managed drought test site, IKDT, was the most repeatable even though it was not very discriminating. In contrast, the high yield, optimal growing test site, ZAWW, had high representativeness, discriminating ability and repeatability, indicating that it is the ideal test location. …”
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Potential improvement for forest cover and forest degradation mapping with the forthcoming Sentinel-2 program by Hojas-Gascon, L., Belward, A., Eva, H., Ceccherini, G., Hagolle, Olivier, García, J., Cerutti, P.O.

“…Results show that using the full temporal series it is possible to discriminate between forest units with differences of more than 40% tree cover or more. …”
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Machine vision for precise control of weeds by Blasco, José, Benlloch, J. V., Agustí, Manuel, Moltó, Enrique

“…Then, growing techniques are applied to discriminate between vegetation and background. Once plant pixels are identified, weeds are distinguished from the crop by estimating the position of the row and employing shape analysis techniques. …”
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