Search Results - Linear systems.

Validation of enteric methane emissions by cattle estimated from mathematical models using data from in vivo experiments by Molina Botero, Isabel, Díaz Céspedes, Medardo, Mayorga Mogollón, Olga, Ku Vera, Juan, Arceo Castillo, Jeyder, Montoya Flores, María Denisse, Arango, Jacobo, Gómez Bravo, Carlos

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An organizational perspective on human-centered design for inclusive innovations by Muller, Anna, Steinke, Jonathan, Dorado, Hugo, Keller, Salome, Jimenez, Daniel, Berta Ortiz-Crespo, Schumann, Charlotte

“…It assumes that a needs-centered, iterative and open-ended process results in more inclusive innovations with greater uptake and impact, compared to more linear research processes that test preconceived solutions. …”
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Evaluating the performance of multiple remote sensing indices to predict the spatial variability of ecosystem structure and functioning in Patagonian steppes by Gaitan, Juan Jose, Bran, Donaldo Eduardo, Oliva, Gabriel Esteban, Ciari, Georgina, Nakamatsu, Viviana Beatriz, Salomone, Jorge Manuel, Ferrante, Daniela, Buono, Gustavo Gabriel, Massara Paletto, Virginia, Humano, Gervasio, Celdran, Diego Javier, Opazo, Walter Javier, Maestre, Fernando Tomás

“…This VI showed a significant positive linear relationship with both vegetation basal cover (R2 = 0.39) and plant species richness (R2 = 0.31). …”
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Implications of landscape configuration on understory forage productivity: a remote sensing assessment of native forests openings by Trinco, Fabio Daniel, Rusch, Veronica Elena, Howison, Ruth Alison, Garibaldi, Lucas Alejandro, Tittonell, Pablo Adrian

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El pensamiento y la metodología Sistémica Multimodal como bases para los programas de Extensión Rural by Carrancio, Luis

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Invasión de Hieracium pilosella L. en pastizales de Tierra del Fuego by Rauber, Ruth Bibiana

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Plasticidad fenotípica y bases genéticas de la producción y partición de biomasa en el cultivo de maíz by Galizia, Luciana Ayelen

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Individuella skillnader i grovfoderintag hos mjölkkor : sambandet mellan grovfoderintag och djuregenskaper by Larsson, Filippa

Rice production and climate change in Northeast China: evidence of adaptation through land use shifts by Hu, Yanan, Fan, Lingling, Liu, Zhenhuan, Yu, Qiangyi, Liang, Shefang, Chen, Shi, You, Liangzhi, Wu, Wenbin, Yang, Peng

“…Our findings highlight the response of the rice production system to external driving factors, both climate and socioeconomics, to target further research and provide important insights into how a rice cropping system is likely to adapt in a mid-high-latitude region in the future.…”
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Estimating the basic reproductive number (R0) for African swine fever virus (ASFV) transmission between pig herds in Uganda by Barongo, M.B., Stahl, K., Bett, Bernard K., Bishop, Richard P., Fèvre, Eric M., Aliro, T., Okoth, Edward A., Masembe, C., Knobel, D.L., Ssematimba, A.

“…For implementation of the SI model, three approaches were used namely; curve fitting (CF), a linear regression model (LRM) and the SI/N proportion. …”
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Agricultural information networks of farm women and role of agricultural extension: the case of Dale Woreda, Southern Nations, Nationalities & Peoples’ Region by Kaske, D.K.

“…The Ethiopian agricultural extension system suffers from a number of weaknesses in its services for rural women. …”
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Effect of Nitrogen Fertilizer Dose and Application Timing on Yield and Nitrogen Use Efficiency of Irrigated Hybrid Rice under Semi-Arid Conditions by Djaman, K., Mel, V.C., Ametonou, F.Y., El-Namaky, R., Diallo, M.D., Koudahe, K.

“…Rice grain yield exhibited curvilinear relationship with the applied nitrogen rates during the dry season under both nitrogen application timings and a linear relationship during the wet season under three splits. …”
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Predictive modeling of above-ground biomass in Brachiaria pastures from satellite and UAV Imagery using machine learning approaches by Álvarez Mendoza, Cesar I., Guzman, Diego, Casas, Jorge, Bastidas, Mike, Polanco, Jan, Valencia Ortiz, Milton Orlando, Montenegro, Frank, Arango, Jacobo, Ishitani, Manabu, Gómez Selvaraj, Michael

“…When comparing more than twenty-five machine learning models using an Auto Machine Learning Python API, the results show that the best algorithms were the Huber with R² = 0.60, Linear with R² = 0.54, and Extra Trees with R² = 0.45 to large scales using satellite. …”
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Association between Rift Valley fever virus seroprevalences in livestock and humans and their respective intra-cluster correlation coefficients, Tana River County, Kenya by Bett, Bernard K., Lindahl, Johanna F., Sang, R., Wainaina, M., Kairu-Wanyoike, S., Bukachi, S., Njeru, I., Karanja, J., Ontiri, E., Njenga, M.K., Wright, D., Warimwe, G.M., Grace, Delia

“…Data collected were analysed using generalised linear mixed effects models, with herd/household and village being fitted as random variables. …”
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A novel strategy to optimize resources to boost production in rice-fish coculture at Ziro Valley, India by Samaddar, Ayan, Kacha, Dani, Kaviraj, Anilava, Freed, Sarah, Panemangalore, Arun, Das, Sambhu, saha, subrata

“…Using Cobb-Douglas production functions, researchers estimated rice and fish yields through regression models. Subsequently, a non-linear constrained optimization problem based on the Nash-bargaining framework was solved to assess the effects of optimization on fund allocation for various inputs. …”
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Phenotypic variability for root traits in Andean common beans grown with and without aluminum stress conditions by Ambachew, D., Asfaw, A., Blair, Matthew W.

“…The recorded data on the roots per trial were fit to a linear mixed model for the analysis of variance in order to test for the genotype differences. …”
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Spatiotemporal variation in soil salinity under irrigated fields at Bochessa Catchment in Central Ethiopia by Wendemeneh, D., Ayana, M., Haileslassie, Amare, Lohani, T. K.

“…Likewise, six farmers' fields from the rain-fed system were also selected for comparison purposes. …”
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Complementarity of two rice mapping approaches: characterizing strata mapped by hypertemporal MODIS and rice paddy identification using multitemporal SAR by Asilo, Sonia, de Bie, Kees, Skidmore, Andrew, Nelson, Andrew, Barbieri, Massimo, Maunahan, Aileen

“…We demonstrate the use of MODIS data for rice-based system characterization and X-band SAR data from TerraSAR-X and CosmoSkyMed for the identification and detailed mapping of rice areas and flooding/transplanting dates. …”
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Genome-wide association study for salinity tolerance in the African rice, Oryza glaberrima by Mheni, Nafeti Titus, Kilasi, Newton, Bilaro, Atugonza, Ndjiondjop, Marie-Noelle, Dixit, Shalabh, Ismail, Abdelbagi M., Msolla, Susan Nchimbi

“…Among the tested accessions, 21 genotypes were categorized as tolerant to moderately tolerant based on the standard evaluation system score, representing promising materials for breeding programs. …”
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Trade-offs between forage yields and feed quality of Lablab purpureus, and milk yields in relation to planting and harvesting schedules by Agyemang, K., Okike, Iheanacho, Makun, H.J., Magaji, S.O.

“…This study, designed to investigate trade-offs between forage yields, feed quality and labour use in fitting a newly introduced crop, Lablab purpureus, into an existing farming system, adopted distinct applied and adaptive research approaches. …”
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