Search Results - Random variables.

Manejo de pseudomonas solanacearum E.F Smith con enmiendas y microorganismos antagonistas en tomate by Díaz Blandón, Jorge U.

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PROGRESS REPORT: Developing Data‑Driven Agronomic Recommendations for Site‑Specific Nutrient Management on Rice in Cambodia by Mabilangan, Abigail, Mkuhlani, Siyabusa, Saito, Kazuki

“…Reverse and forward -QUEFTS, together with -gradient boosting and random forest models, reproduce observed yields with moderate to good predictive skill and provide -apparent soil N, P, and K supply estimates that can be mapped across the rice domain. …”
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Supplementation of a tropical low-quality forage with Calliandra calothyrsus improves sheep health and performance, and reduces methane emission by Mwangi, Paul M., Eckard, Richard, Gluecks, Ilona V., Merbold, Lutz, Mulat, Daniel Girma, Gakige, Jesse, Marquardt, Svenja, Pinares-Patino, Cesar S.

“…Twenty-eight Dorper lambs underwent random allocation across four treatments, each consisting of seven lambs. …”
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Las rizobacterias y enmiendas orgánicas en la inducción de resistencia a geminivirus en el cultivo del tomate by Castro Martín, M. O.

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Calidad morfológica de plantines de Aloysia citrodora Palau provenientes de esquejes by Balsamo, Maricel, May Petroff, Noelia Judith

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Automatisk beståndsavgränsning i satellitbilder : en jämförelse av gränser från två segmenteringsmetoder och Grön Plan by Lövdahl, Henrik

Efectos de las actividades antrópicas sobre parámetros metabólicos en un bivalvo invasor y otro nativo en el tramo inferior del río Paraná by Noya Abad, Tatiana, Peluso, Julieta, Minaberry, Yanina Susana, Rojas, Dante Emanuel, Cristos, Diego Sebastian, Knack De Almeida, Henrique, Yusseppone, María Soledad, Aronzon, Carolina Mariel, Calcagno, Javier Ángel, Sabatini, Sebastián Eduardo

“…In September 2018, a sampling and collection point of individuals was randomly established (60 of the invasive bivalve and 10 of the native) to assemble 10 cages per species at the placement site. …”
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Living with Climate Change: Assessment of the Adaptive Capacities of Smallholders in Central Rift Valley, Ethiopia by Mekonnen, Z., Kassa, H.

“…How do smallholder farmers live with climate change and variability challenges? On the basis of this question, this study has assessed the factors that determine the adaptive capacities, strategies and livelihoods of smallholders to climate change and variability; and the role of climate capacities and landscape functions for sustainable adaptation in response to climate change and variability. …”
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Influencia de la franja ribereña en la calidad del agua y percepción local sobre su estado y manejo en la subcuenca del río Quiscab, cuenca del lago Atitlán, Guatemala by Tut Si, Maynor O.

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Evaluación de indicadores de degradación y biomasa radical en mallines de una cuenca hídrica del sur de Santa Cruz by Utrilla, Victor Ricardo, Andrade, Miguel Alberto, Billoni, Sabrina, Rogel, Bibiana, Peri, Pablo Luis

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Emisión de gases en un sistema ganadero intensivo by Guzman, Maria Laura, Veneciano, Jorge Hugo, Sager, Ricardo Luis

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Changing terrain: evidence of climate change impacts and adaptive responses of Dagbani Indigenous Communities, northern Ghana by Attoh, Emmanuel M. N. A. N., Afriyie, R., Kranjac-Berisavljevic, G., Bessah, E., Ludwig, F.

“…Using focus group discussions and simple random and convenience quota sampling techniques, 125 households and 175 individuals were interviewed. …”
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The relative importance of rainfall, temperature and yield data for a regional scale crop model by Watson, J., Challinor, Andrew J.

“…Two methods were employed to introduce error into rainfall, temperature and crop yield inputs at seasonal and climatological timescales: (1) random temporal resequencing, and (2) biasing values. …”
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Morphological and molecular characterization of common bean landraces and cultivars from the Caribbean by Durán, L.A., Blair, Matthew W., Giraldo Zapata, Martha C., Macchiavelli, Raúl E., Prophete, E, Nin, JC, Beaver, James S.

“…Knowledge of this variability may provide useful information concerning the potential value of Caribbean landraces to Andean bean breeding programs.…”
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The heritability of protein and methionine in beans (Phaseolus vulgaris) by Kelly, James D.

“…The resulting generations were grown in Wisconsin, USA (1972) in a completely random design and selections of F1 and F2 hybrid material were grown at CIAT, Colombia (1973). …”
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Effect of bias correction of satellite-rainfall estimates on runoff simulations at the source of the Upper Blue Nile by Habib, E., Haile, Alemseged Tamiru, Sazib, N., Zhang, Y., Rientjes, T.H.M.

“…Results of numerous evaluation studies indicated that satellite-rainfall products are contaminated with significant systematic and random errors. Therefore, such products may require refinement and correction before being used for hydrologic applications. …”
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Genetic analysis of thrips resistance in cowpea (Vigna unguiculata [L.] Walp.) by Oladejo, A.S., Boukar, O., Fatokun, C.A., Obisesan, I.O.

“…Data on number of peduncles, number of pods and number of thrips per flower were recorded and subjected to analysis of variance using random model by SAS 9.2. Significant variability was observed for most agronomic and thrip-adaptive traits among the cowpea germplasm, parental-lines and F1 genotypes evaluated. …”
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Effects of compost application rates and mulch thickness on tomato (Solanum lycopersicum l.) yield, quality and soil physicochemical properties under salt affected soil of Dugda Di... by Wodajo, D.

“…The growth variables were also not significantly affected by the interaction effects of compost and mulch thickness. …”
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Characterization of maize producing households in the dry savanna of Mali by Fofana, M., Abdoulaye, Tahirou, Coulibaly, N., Sanogo, D., Langyintuo, A.

“…A total of 150 households were randomly selected and interviewed with structured questionnaires. …”
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Explaining wine scores through stochastic frontier analysis: an intent to measure sensory non-observable attributes by Ferro, Gustavo Adolfo, Gatti, Nicolas

“…We find that the observable variables explain part of the ‘efficiency’ in attaining scores and suggest that ‘inefficiency’ in score generation can be attributed to unobservable (sensory) variables.…”
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