Resultados de búsqueda - Random variables.

Biomasa y calidad nutritiva de Leptochloa crinita en la región semiárida pampeana por Ruiz, Maria De Los Angeles, Gonzalez, Martìn Ezequiel, Ernst, Ricardo, Ortiz, Daniela Alejandra

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Modelación hidrológica para evaluar los niveles de erosión hídrica y producción de sedimentos en diferentes usos y coberturas de la tierra y su efecto en la calidad del agua en la... por Bocel Chiroy, Juan C.

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Assessment of genetic diversity of local varieties of cassava in Tanzania using molecular markers por Herzberg, F., Mahungu, N.M., Mignouna, J., Kullaya, A.

“…Genetic distances on the basis of RAPD (random amplified polymorphic DNA) revealed separate clustering of almost all coast region-derived varieties. …”
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Curvas de lactancia e identificación QTLs asociados a características productivas en ganado Holando y cruza HolandoxJersey por Beribe, Maria Jose

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Un estudio de medida para predecir el uso de la biblioteca en una institución colombiana por Monge, F

“…Fifty seven scientists of the Instituto Colombiano de la Reforma Agraria (INCORA) performing research and development functions were randomly chosen to investigate some of the correlates of the Library Use dimension. …”
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Measurement of competitiveness in smallholder livestock systems and emerging policy advocacy: An application to Botswana por Bahta, Sirak T., Malope, P.

“…The results show the presence of inefficiency, with about 74% of the variation in actual profit from maximum profit (profit frontier) between farms mainly arising from differences in farmers’ practices rather than random variability. Further the mean profit efficiency level of 0.58 suggests that there is a substantial scope to improve beef profitability in Botswana. …”
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Improving the accuracy of beef cattle methane inventories in Latin America and Caribbean countries por Congio, Guilhermo F.S., Bannink, André, Mayorga, Olga L., Rodrigues, João P.P., Bougouin, Adeline, Kebreab, Ermias, Carvalho, Paulo C.F., Berchielli, Telma T., Mercadante, Maria E.Z., Valadares-Filho, Sebastião C., Borges, Ana L.C.C., Berndt, Alexandre, Rodrigues, Paulo H.M, Ku-Vera, Juan Carlos, Molina Botero, Isabel Cristina, Arango, Jacobo, Reis, Ricardo A., Posada Ochoa, Sandra L., Tomich, Thierry R., Castelán-Ortega, Octavio A., Marcondes, Marcos I., Gómez, Carlos, Ribeiro-Filho, Henrique M.N., Gere, José I., Ariza-Nieto, Claudia, Giraldo, Luis Alfonso, Gonda, Horacio, Cerón-Cucchi, María E., Hernández, Olegario, Ricciv, Patricia, Hristov, Alexander N.

“…Mixed-effects models were fitted with a random effect of study. The whole dataset was split according to DFC into a subset for all-forage (DFC = 100 %), high-forage (94 % ≥ DFC ≥ 54 %), and low-forage (50 % ≥ DFC) diets. …”
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Exposure patterns and the risk factors of Crimean Congo hemorrhagic fever virus amongst humans, livestock and selected wild animals at the human/livestock/wildlife interface in Isi... por Mukhaye, Eugine, Akoko, James M., Nyamota, Richard, Mwatondo, Athman, Muturi, Mathew, Nthiwa, D., Kirwa, Lynn J., Bargul, J.L., Abkallo, Hussein M., Bett, Bernard K.

“…Humans (n = 580) and livestock species (n = 2,137) were recruited into the study through a multistage random sampling technique, and in addition, various species of wild animals (n = 87) were also sampled conveniently. …”
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Heterogeneity in the antibody response to foot‐and‐mouth disease primo‐vaccinated calves por Di Giacomo, Sebastián, Brito, Barbara Patricia, Perez, A.M., Bucafusco, Danilo, Pega, Juan Franco, Rodríguez, L., Borca, Manuel Victor, Perez Filgueira, Daniel Mariano

“…Three linear hierarchical mixed regression models, one for each strain, were formulated to assess the heterogeneity in the immune responses to vaccination. The dependent variables were the antibody titres induced against each FMDV strain at 45 dpv, whereas sire's ‘breed’ was included as a fixed effect, ‘sire’ was included as a random effect, and ‘farm’ was considered as a hierarchical factor to account for lack of independence of within herd measurements. …”
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Samband på individnivå mellan akuta klövskador och cellhalten i mjölk hos mjölkkor por Lilja-Helmersson, Frank

“…In total, 203 cell-count observations from 14 hoof-diseased and 32 healthy cows were analysed using mixed least-squares multivariable regression modelling. A random effect for cow identity was included. The principal explanatory variable was disease month, coded as -1 the month before diagnosis, as 0 for the same month as diagnosis, as 1 or 2 for the corresponding number of months after diagnosis, and as 3 for 3 months after diagnosis and all observations in healthy cows. …”

Efecto de la edad sobre la producción de materia seca y calidad nutritiva de los pastos elefante enano (Pennisetum purpureum, Schum) cv. Mott y King grass (Pennisetum purpureum x P... por Fuentes Penagos, C.E.

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Preferencias del consumidor por la carne bovina en las principales ciudades de la Región Caribe de Colombia por Martínez Reina, Antonio María

“…The information was obtained through a structured survey applied, from a random sample selected by the simple random sampling method to 337 people responsible for purchases using the Forms office platform. …”
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Integration of Artificial Intelligence (AI) to generate personalized weather and crop advisories: A case study of Meghdoot app in India por Singh, Kanika, Dhulipala, Ram, Billu, Naveen, Chawala, Kapil, Vishnoi, Lata

“…It utilizes an OpenAI quick architecture for natural language processing and a Random Forest regressor for predictions.…”
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Soil Survey to Characterize 2 Sentinel Sites (CIAT) por International Center for Tropical Agriculture, Selian Agricultural Research Institute

“…The LDSF was based on a hierarchical spatially stratified, random sampling approach consisting of 100 km2 sentinel landscapes, which were statistically representative of the variability in climate, topography, and vegetation of the study area under consideration. …”
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Virulence and molecular diversity within Colletotrichum lindemuthianum isolates from Andean and Mesoamerican bean varieties and regions por Mahuku, George S., Riascos, JJ

“…Virulence on a standard set of 12 common bean differential varieties, DNA sequence of repetitive-elements (Rep-PCR) and random amplified microsatellites (RAMS) were used to assess the genetic variability of 200 Colletotrichum lindemuthianum isolates collected from Andean and Mesoamerican bean varieties and regions. …”
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How does the neighborhood of annual or perennial species affect the first one hundred days of the establishment of grasses? por Lavarello Herbin, Agustina, Gatti, María Laura Amalia, Golluscio, Rodolfo Ángel

“…On three of the lines, we sowed different combinations of the mentioned grasses, while on the two lines between them, we sowed red clover (Trifolium pratense). We randomly applied a factorial array of eight treatments—2 species (Dg vs. …”
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Factores de riesgo asociados a la presentación de brucelosis en establecimientos mixtos de caprinos-bovinos de la provincia de Formosa, Argentina = Risk factors associated with the... por Elías, Iris Carolina, Viola, María Nair, Russo, Ana María, Signorini Porchiett, Marcelo Lisandro

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Kalibrering av den multivariata variabeln trädslagsfördelning por Lundberg, Niklas

Estimation of height and aerial biomass in Eucalyptus globulus plantations using UAV-LiDAR por Enriquez Pinedo, Lucía, Ortega Quispe, Kevin, Ccopi Trucios, Dennis, Urquizo Barrera, Julio, Rios Chavarría, Claudia, Pizarro Carcausto, Samuel, Matos Calderon, Diana, Patricio Rosales, Solanch, Rodríguez Cerrón, Mauro, Ore Aquino, Zoila, Paz Monge, Michel, Castañeda Tinco, Italo

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Methodology for the identification of relevant loci for milk traits in dairy cattle, using machine learning algorithms por Raschia, Maria Agustina, Ríos, Pablo Javier, Maizon, Daniel Omar, Demitrio, Daniel Arturo, Poli, Mario Andres

“…Regression models using XGBoost (XGB), LightGBM (LGB), and Random Forest (RF) algorithms were trained using estimated breeding values for milk production (EBVM), milk fat content (EBVF) and milk protein content (EBVP) as phenotypes and genotypes on 40417 SNPs as predictor variables. …”
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