Resultados de búsqueda - Random variables.

Program participation intensity and children's nutritional status: Evidence from a randomized control trial in Mozambique por de Brauw, Alan, Eozenou, Patrick, Moursi, Mourad

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Hybridization of process-based models, remote sensing, and machine learning for enhanced spatial predictions of wheat yield and quality por Kheir, Ahmed M.S., Govind, Ajit, Nangia, Vinay, El-Maghraby, Maher A., Elnashar, Abdelrazek, Ahmed, Mukhtar, Aboelsoud, Hesham, Mostafa, Rania, Feike, Til

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Predicting Wheat Yield Gap and its Determinants in Rainfed Mediterranean Climate of Morocco: Using Ground Information, Satellite Images and Machine Learning por Devkota, Krishna, Devkota Wasti, Mina Kumari, Bouasria, Abdelkrim

“…Vegetation indices datasets were combined with the climate, soil, and crop management, and the random forest model was calibrated and validated for each cropping season. …”
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Uptake of insurance-embedded credit in presence of credit rationing: Evidence from a randomized controlled trial in Kenya por Ndegwa, Michael K., Shee, Apurba, Turvey, Calum G., You, Liangzhi

“…Further, the authors assess farmers' credit rationing, its determinants and effects on credit uptake.The study design was a randomized controlled trial (RCT) conducted in Machakos County, Kenya. 1,170 sample households were randomly assigned to one of three research groups, namely control, RCC and traditional credit. …”
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Shade canopy density variables in cocoa and coffee agroforestry systems por Somarriba, Eduardo, Saj, Stephane, Orozco‑Aguilar, Luis, Somarriba, Aurelio, Rapidel, Bruno

“…N, G and %Cov are named shade canopy density variables (SCDV). The use of these SCDV has two important limitations: (1) different combinations of values of the three SCDV variables generate very different shade tree stands (hence very different shading levels), and (2) Additional factors modify shading under shade canopies with constant SCDV values.This article uses the software ShadeMotion (www.shade motion. net) to show how 24 different, simple, even-sized, mono-layered, Cordia alliodora shade canopies with constant N, G and %Cov display significantly different shade levels and temporal patterns of shading depending on tree stem and crown diameter ratios, tree height, spatial planting configurations (square, random and alleys) and leaf fall patterns. …”
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Relative incidence of cucurbit viruses and relationship with bio-meteorological variables por Pozzi, Elizabeth Alicia, Bruno, Cecilia Inés, Luciani, Cecilia, Celli, Marcos Giovani, Conci, Vilma Cecilia, Perotto, Maria Cecilia

“…Infected plants had a random distribution. Viruses and bio-meteorological variables were highly correlated, with high support (Pearson’s r = 0.96, P < 0.001). …”
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Random amplified polymorphic DNA (RAPD) analysis of Phytophthora infestans isolates collected in Canada during 1994 to 1996 por Mahuku, George S., Peters, RD, Platt, HW, Daayf, F.

“…Mating type, glucose-6-phosphate isomerase (Gpi) allozyme banding patterns, response to the fungicide metalaxyl and random amplified polymorphic DNA (RAPD) markers were used to characterize genetic variability among 141 Canadian isolates of Phytophthora infestans collected between 1994 and 1996. …”
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Genetic variability in cassava as it influences storage root yield in Nigeria por Aina, O.O., Dixon, A., Akinrinde, E.

“…Seventeen agronomic parameters were evaluated on a plot size of 40 m2, at spacing of 1x1 m in a Randomized Complete Block Design (RCBD) in four replicates. …”
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Variability in food-feed traits in chickpea (Cicer arietinum) varieties por Alemu, T.

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Mapping plant functional types in Northwest Himalayan foothills of India using random forest algorithm in Google Earth Engine por Srinet, R., Nandy, S., Padalia, H., Ghosh, Surajit, Watham, T., Patel, N. R., Chauhan, P.

“…For topographic information, Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) derived aspect and Multi-Scale Topographic Position Index (MTPI) were used, whereas, for climatic variables, WorldClim V2 Bioclimatic (Bioclim) variables were used. …”
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Drivers of maize yield variability at household level in northern Ghana and Malawi por Gachoki, S., Muthoni, F.K.

“…Satellite-based environmental variables were extracted at household locations, and Random Forest modeling was used to identify factors influencing maize yield variability. …”
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Soybean (Glycine max L) genotype and environment interaction effect on yield and other related traits por Ngalamu, T., Ashraf, M., Meseka, S.

“…To evaluate genetic variability of five soybean genotypes, and assess genotype × environment effect on seed yield and yield related traits. …”
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Stability, agronomic performance and genetic variability of 10 cassava genotypes in Ghana por Peprah, B.B., Agyeman, A., Parkes, Elizabeth Y., Kwadwo, O., Isaac, A.K., Okogbenin, Emmanuel, Labuschagne, Maryke T.

“…Genetic enhancement of cassava aimed at increasing productivity through the provision of broad-based which improved germplasm and is also a major goal for cassava breeders. 10 genotypes (4 landraces and 6 developed lines) were evaluated at Fumesua, Ejura and Pokuase in 2 growing seasons in a randomized complete block design in 3 replicates to determine variability among genotypes for fresh root yield (FRY), root number (RTN), plant stands harvested (PSH), top weight (TW), harvest index (HI) and dry matter content (DMC) and their adaptation to different environments. …”
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Genetic variability for yield and nutritional quality in yam bean (Pachyrhizus sp.) por Agaba, R., Tukamuhabwe, Phineas, Rubaihayo, P.R., Tumwegamire, Silver, Ssenyonjo, A., Mwanga, Robert O.M., Ndirigwe, J., Grüneberg, W.J.

“…The amount of genotypic and phenotypic variability that exists in a species is important for selection and initiating breeding programs. …”
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Agricultura de precisión: dosis variable de nitrógeno en cebada por Peralta, Nahuel, Barbieri, Pablo, Gowland, Tomás, Aparicio, Virginia Carolina, Costa, Jose Luis

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Exploring the potential of mapped soil properties, rhizobium inoculation, and phosphorus supplementation for predicting soybean yield in the savanna areas of Nigeria por Jemo, Martin, Devkota, Krishna, Epule Epule, Terence, Chfadi, Tarik, Moutiq, Rkia, Hafidi, Mohamed, Silatsa, Francis B T, Jibrin, Jibrin Mohamed

“…Soybean yield results from the established trials managed by farmers with four treatments (i.e., the control without inoculation and P fertilizer, Rh inoculation, P fertilizer, and Rh + P combination treatments) were predicted using mapped soil properties and weather variables in ensemble machine-learning techniques, specifically the conditional inference regression random forest (RF) model. …”
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Impacts of a digital credit-insurance bundle for landless farmers: Evidence from a cluster randomized trial in Odisha, India por Pattnaik, Subhransu, Kramer, Berber, Ward, Patrick S., Yingchen Xu, Tharakeswar, G.

“…We implemented a randomized evaluation of the impacts of KhetScore, an innovative credit scoring methodology that uses digital technologies to unlock credit and insurance for smallholders including landless farmers in Odisha, a state in eastern India. …”
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Impacts of a digital credit-insurance bundle for landless farmers: Evidence from a cluster randomized trial in Odisha, India por Kramer, Berber, Pattnaik, Subhransu, Ward, Patrick S., Xu, Yingchen

“…We implemented a randomized evaluation of the impacts of KhetScore, an innovative credit scoring methodology that uses digital technologies and in particular remote sensing to unlock credit and insurance for smallholders including landless farmers in Odisha, a state in eastern India. …”
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Variables explicativas que no pueden controlarse ni fijarse: ¿Funciona la regresión? por Boca, Rosa Teresa, Pérez, Adriana, Perelman, Susana Beatriz

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Genetic variability of maize stover quality and the potential for genetic improvement of fodder value por Ertiro, B.T., Twumasi-Afriyie, S., Blümmel, Michael, Friesen, Dennis K., Negera, D., Worku, M., Abakemal, D., Kitenge, K.

“…The objectives of this study were to assess the genetic variability of experimental and released (checks) maize varieties for stover feed quantity and quality, and their relationship with grain yield. …”
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