Search Results - Random variables.

Evaluación de la percepción y los factores determinantes en la implementación de medidas de adaptación al cambio y variabilidad climática por los productores de leche de la cuenca... by Velarde Andrade, Luz Marina

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Diurnal ingestive Behavior of beef cattle on grass hybrid Brachiaria Mulato II by Suárez P., Emiro, Reza G., Sony, Pastrana V., Iván, Patiño P., René, García C., Fredy, Cuadrado C., Hugo, Espinosa C., Manuel, Díaz A., Eliécer

“…The second trial using a randomized block design with three treatments for nine experimental units, monitored daily feeding habits. …”
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Baseline evaluation of Akorion’s EzyAgric innovation platform by Ogutu, Sylvester, Kikulwe, Enoch, Ajambo, Susan, Birachi, Eliud

“…The baseline survey covered 536 households in five districts of central Uganda, with 282 households randomly assigned into the treatment group, and 254 households randomly assigned into the control group. …”
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Efecto y persistencia de tratamientos químicos y mecánico sobre arbustos de un sistema pastoril del sudeste de Santiago del Estero, Argentina by Ledesma, Roxana Ramona, Saracco, Florencia Soledad, Silvetti, Jose Gabriel, Gerlero, Gustavo Daniel, Diaz Falú, Estanislao, Wolf Celone, Ursula Ingrid, Bosso, Exequiel Carlos, Continelli, Noelia, Navarrete, Victor Del Carmen

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Development of bio-based active packaging material evaluating grapefruit seed and grape seed extract as antimicrobials by Cerón G., Mirella M.

“…Physical, mechanical, and antimicrobial properties of the created film were evaluated. Two completely randomized design with two variables to optimize film formulations was used. …”
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Key factors determining biochar sorption capacity for metal contaminants: a literature synthesis by Thomas, Evert, Borchard, Nils, Sarmiento, Christian, Atkinson, Rachel, Ladd, Brenton

“…The feedstock used was the key determinant influencing biochar’s capacity and affinity to sorb metal contaminants (first and fourth most important variable in RF models for Cmax and KL, respectively) with best results obtained for biochar elaborated from nutrient-dense feedstocks (animal biowaste, sludge, and manure). …”
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Genotype x environment interactions of yield of cowpea (Vigna unguiculata (L.) Walp) inbred lines in the Guinea and Sudan Savanna ecologies of Ghana by Owusu, E.Y., Amegbor, I.K., Mohammed, H., Kusi, F., Atopkle, I., Sie, E.K., Ishahku, M., Zakaria, M., Iddrisu, S., Kendey, H.A., Boukar, O., Fatokun, C., Nutsugah, S.K.

“…The variable cowpea productivity across different environments demands evaluating the performance of genotypes in a breeding program prior to their release. …”
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The role of ICT in Collective management of Public Bads: The case of Potato late blight in Ethiopia by Cieslik, K., Cecchi, F., Damtew, Elias, Tafesse, S., Struik, P.C., Lemaga, B., Leeuwis, Cees

“…We also manipulate the ICT-mediated communication variable by providing access to a smartphone-based group communicator to a random sub-sample of the participants. …”
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Improved sample selection and preparation methods for sampling plans used to facilitate rapid and reliable estimation of aflatoxin in chicken feed by Kibugu, J., Mdachi, R., Munga, L., Mburu, D., Whitaker, T., Thu P. Huynh, Grace, Delia, Lindahl, Johanna F.

“…A modified sampling protocol that ensured representativeness is documented, including sample selection, sampling tools, random procedures, minimum size of field-collected aggregate samples (primary sampling), procedures for mass reduction to 2 kg laboratory (secondary sampling), 25 g test portion (tertiary sampling) and 1.3 g analytical samples (quaternary sampling). …”
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Paternity assignment in white guinea yam (Dioscorea Rotundata) half-sib Progenies from polycross mating design using SNP markers by Norman, P.E., Agre, P.A., Danquah, A., Tongoona, P.B., Danquah, E.Y., Koeyer, D. de, Ikeogu, Ugochukwu N., Asiedu, R., Asfaw, A.

“…A total of 394 half-sib progenies from random open pollination involving nine female and three male parents was genotyped with 6602 SNP markers from DArTSeq platform to recover full pedigree. …”
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Limitations of using simple indicators for evaluating agricultural emission reductions at farm level — evidence from Kenyan smallholder dairy production by Luedeling, Eike, Whitney, Cory W., Wilkes, Andreas, Aynekulu, Ermias, Rosenstock, Todd S.

“…Using probabilistic simulations, we quantified the impact of input variable uncertainty on emission estimates for smallholder dairy farms in Kenya. …”
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Agricultural intensification: Who intensifies and how does it contribute to income growth? by Berhane, Guush, Abate, Gashaw T., Wolle, Abdulazize

“…The main analysis on the relationship between input intensification, yield, and household welfare employs a recent variant of the correlated random effect model to address the time-invariant unobserved heterogeneity and a control function to mitigate time-varying unobserved heterogeneity. …”
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Distributional impact of climate‑smart villages on access to savings and credit and adoption of improved climate‑smart agricultural practices in the Nyando Basin, Kenya by Asseldonk, Marcel van, Oostendorp, Remco, Recha, John W.M., Gathiaka, John, Mulwa, Richard, Radeny, Maren A.O., Wattel, Cor, Van Wesenbeeck, Lia

“…Due to the as good as random selection of CSVs, we are able to estimate the treatment effects on the treated for the smallholders who decided to participate in the CSA intervention by means of a linear probability model. …”
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Comparative Values of SSRs, SNPs and InDels for Citrus Genetic Diversity Analysis by Ollitrault, Patrick, García-Lor, Andrés, Terol, Javier, Curk, Franck, Ollitrault, Frederique, Talón, Manuel, Navarro, Luis

“…Moreover, we have compared the diversity structure revealed by markers mined in a single heterozygous genotype (clementine) and markers mined from a large interspecific survey. A random set of markers was selected for each marker class to genotype 48 citrus accessions. …”
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Spatial evaluation of soil salinity using the WET sensor in the irrigated area of the Segura river lowland by De-Paz, José M., Visconti, Fernando, Rubio, José L.

“…Nevertheless, cokriging using the EC(p) of an adjacent soil depth as an auxiliary variable provided the best results, compared to ordinary kriging. …”
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Comparação de quatro métodos de medição num bosque secundário tropical by Amaral Machado, S. do., ALBERTIN, W.

“…Applying an unrestricted random sampling design and using the same center in each sample plot, four different inventory methods were used: a) complete plot inventory in wich all trees with a dbh 20 cm and above were measured in a fixed area plot of 10 x 50 m, b) prism method or point sampling, c) flexible method in wich the six closest trees to the center of the plot were measured, d) average dbh method in wich all trees that appeared to be of average size in the plot of 10 x 50 m were measured. …”
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3D vegetation structure influence on boreal forest bird species richness by Larsson, Emil

“…In total 37 forest-associated bird species were included. Non-parametric random forest models and generalized linear models (GLMs) were used, rendering R2 values of 36% and 15%, respectively. …”
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Factores limitantes de la tasa de destete en sistemas de producción de carne bovina en la región criadora de la provincia de La Pampa, Argentina = Factors limiting the weaning rate... by Vazquez, Pablo Mauricio, Rojas, Maria Del Carmen, Fernández, Ezequiel Alejandro, Gonzalez, Ana Clara

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Calidad de frutos y maduración en naranjo dulce ‘Valencia Late’ [Citrus sinensis (L) Osbeck] cv Limeira, sobre diferentes portainjertos by Chabbal, Marco Daniel, Gimenez, Laura Itatí, Mazza, Silvia Matilde, Ramirez, M.D.J., Rodriguez, Víctor A.

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Soil Heterogeneity and Soil Fertility Gradients in Smallholder Agricultural Systems of the East African Highlands by Tittonell, Pablo A., Muriuki, A., Klapwijk, C.J., Shepherd, Keith D., Coe, R., Vanlauwe, Bernard

“…Analysis of the variance of soil fertility indicators across 250 randomly selected farms (i.e., 2607 fields), using a mixed model that considered site, sampling frame, farm type, and field as random terms, revealed that the variation in soil organic C (6.5?…”
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