Resultados de búsqueda - "causality"

Pathogenicity of isolates of the rice blast pathogen (Pyricularia oryzae) from Indonesia por Kadeawi, Santoso, Nasution, Anggiani, Hairmansis, Aris, Telebanco-Yanoria, Mary Jeanie, Obara, Mitsuhiro, Hayashi, Nagao, Fukuta, Yoshimichi

“…A total of 201 isolates of Pyricularia oryzae (the causal agent of rice blast) were collected from three rice ecosystems (upland, lowland, and swampy) in five regions of Indonesia (West Java, Lampung, South Sumatra, Kalimantan, and Bali). …”
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Comparative transcriptomics and co-expression networks reveal tissue- and genotype-specific responses of qDTYs to reproductive-stage drought stress in rice (Oryza sativa L.) por Tarun, Jeshurun Asher, Mauleon, Ramil, Arbelaez, Juan David, Catausan, Sheryl, Dixit, Shalabh, Kumar, Arvind, Brown, Patrick, Kohli, Ajay, Kretzschmar, Tobias

“…The approach highlights how the integration of differential expression and allelic variation can aid in the discovery of mechanism and putative causal contribution underlying quantitative trait loci for drought-tolerant yield.…”
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Genome-wide association and gene validation studies for early root vigour to improve direct seeding of rice por Wang, Fanmiao, Longkumer, Toshisangba, Catausan, Sheryl C., Calumpang, Carla Lenore F., Tarun, Jeshurun A., Cattin-Ortola, Jerome, Ishizaki, Takuma, Pariasca Tanaka, Juan, Rose, Terry, Wissuwa, Matthias, Kretzschmar, Tobias

“…The locus was validated in independent backgrounds, and a predicted glycosyl hydrolase, TIPS‐11‐9, was identified as the causal gene for observed phenotypic differences. TIPS‐11‐9 was differentially expressed in emerging lateral roots of contrasting qTIPS‐11 haplotypes, which was likely due to differences in cis‐regulatory elements and auxin responsiveness. …”
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Evaluation of African cultivated rice Oryza glaberrima for resistance to bacterial blight por Djedatin, Gustave, Ndjiondjop, Marie-Noëlle, Mathieu, Thierry, Vera Cruz, Casiana M., Sanni, Ambaliou, Ghesquière, Alain, Verdier, Valérie

“…Xanthomonas oryzae pv. oryzae is the causal agent of bacterial blight in rice, one of the most devastating diseases of rice worldwide. …”
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Role of Panicle Exsertion in Water Stress Induced Sterility por O'Toole, J.C., Namuco, O.S.

“…The role of decreased panicle exsertion as a causal factor of spikelet sterility in water stressed rice (Oryza sativa L.) was investigated. …”
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Spatially explicit trends in nitrogen use efficiency and partial profits in Tanzania, 2008-2020 por Mkondiwa, Maxwel, Chamberlin, Jordan

“…We contribute to this literature by using plot level nationally representative panel data (2008-2020) for Tanzania to examine if indeed NUEs and profits have been on a downward spiral. We combine a causal random forest model for heterogeneous treatment effects and a regional market economic surplus model to explore the economic implications of the NUE trends. …”
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Subsidizing resilience: Evaluating Kenya's fertilizer subsidy program amid global supply chain disruptions por Ayalew, Hailemariam, Breisinger, Clemens, Karugia, Joseph T., Kimaiyo, Faith Chepkemoi, Kimathi, Sally, Olwande, John

“…We leverage random variation in government-issued SMS notifications to identify causal effects. Results show that the NFSP increased fertilizer adoption by 7%, leading to maize yield gains of 26–37% (164–233.5 kg/acre), with greater benefits for younger and more educated farmers. …”
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Price satisfaction and producer loyalty: The role of mediators in business to business relationships in Kenyan mango supply chain por Mutonyi, Sarah, Beukel, Karin, Gyau, Amos, Hjortsø, Carsten Nico

“…The findings support recent studies about trust and its mediating role.The paper is based on a cross-sectional study design, limiting the causal inferences which can be drawn. Producers’ preferences change with time and future studies should be based on longitudinal designs.This paper shows the relationship between the multidimensional nature of price satisfaction and producer loyalty with trust as a mediating variable in the business-to-business (B2B) context. …”
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Evaluating large-scale government investments in fertilizer adoption: The Ethiopian experience por Assefa, Thomas, McCullough, Ellen, Berhane, Guush

“…We rely on the phased geographic rollout of blending facility establishment to identify the causal effect on fertilizer use, application rates, crop yields, gross crop revenue, and household consumption. …”
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Can site-specific recommendations reduce technology and managerial gaps? Evidence from RiceAdvice in the Senegal River Valley por Arouna, Aminou, Owusu, Eric S., Yergo, W.G., Yabi, J.A.

“…Our approach involves addressing both selection bias and differences in production technologies to evaluate the causal impact of the app. Impacts are evaluated through a framework that couples recent selectivity correction stochastic production frontier and meta frontier techniques with statistical matching. …”
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Adoption impact and heterogeneity of mobile agricultural advisory technologies among smallholder farmers in Nigeria por Abioye, O., Fadare, D.A., Omitoyin, S.A., Ogunniyi, A.I., Olinya, P., Shaibu, A., Nwilene, F.E., Akande, A.

“…Using primary data from 795 farmers in Ebonyi State, the study applies a Propensity Score Matching (PSM) framework to estimate the causal effect of adoption on productivity while addressing potential selection bias arising from non-random participation. …”
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Field evaluation of spent pleurotus ostreatus substrate reveals limited suppression of fusarium wilt in banana por Ocimati, Walter, Ogwal, Geofrey, Kearsley, Elizabeth, Blomme, Guy

“…Fusarium oxysporum f. sp. cubense (Foc), the causal agent of Fusarium wilt of banana, can persist in the soil for extended periods as chlamydospores or endophytes in weeds, complicating control measures. …”
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Empowerment and Climate Resilience in Nandi, Kenya: Insights from a Mixed Methods Approach Using Pro-WEAI por DuttaGupta, Tanaya, Kariuki, Eunice, Omondi, Immaculate A., Ewell, Hanna, Kibet, Walter, Bullock, Renee, Rietveld, Anne, Mwambi, Diana, Habermann, Birgit

“…Future research using longitudinal data and mixed methods approach would be important for a deeper understanding of the causal mechanisms linking empowerment and resilience.…”
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Labor market and gender impacts of agricultural mechanization: Evidence from Bangladesh's combine harvester subsidy program por Mahzab, Moogdho, Bakhtiar, M. Mehrab, Karim, Md. Aminul, Quisumbing, Agnes R., Roy, Shalini

“…Bangladesh's Phase III agricultural mechanization subsidy program (2020–2024) distributed over 35,000 machines worth BDT 1,595 crore (USD 163 million), including nearly 9,000 combine harvesters (CHs) that accounted for 84% of machinery expenditure. Earlier causal econometric analysis suggests that high-allocation CH areas saw 6-13% yield gains, 38-70% lower labor costs, and 12-26% lower production costs. …”
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Transformative bottom‐up change in highly dynamic food environments: Learning from living labs in Africa por Vermue, Ardjan, Renting, Henk, Termote, Celine, Musita, Consolata, Segreto, Claudia, Wertheim‐Heck, Sigrid

“…We map the focus and impact pathways of interventions from four selected FSLs within their local food systems, recognising that the complexity of these informal urban environments makes isolated causal effects difficult to discern. Examining these diverse interventions through a common analytical lens enabled us to identify unique trajectories, as well as shared mechanisms, in how urban food environments evolve. …”
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Variety age and maize yield in Zambia: climate-smart benefits of varietal turnover under production stress por Mulungu, Kelvin, Cairns, Jill, Jaleta, Moti

“…Our results are robust to different causal identification strategies. The effects are highly heterogeneous across production conditions, with newer varieties providing greatest yield advantages under drought stress, late planting, low fertilizer application, and high temperatures, demonstrating successful incorporation of climate-smart traits in recent breeding efforts. …”
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For services rendered? modeling hydrology and livelihoods in Andean payments for environmental services schemes por Quinton, M., Wunder, Sven, Estrada, R.D.

“…Hydrological modeling makes explicit the tacit causal relationships and tests underlying assumptions. …”
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Integrating diverse methods to understand climate-land interactions in East Africa por Olson, J.M., Alagarswamy, G., Andresen, J.A., Campbell, D.J., Davis, A.Y., Jianjun, Ge, Huebner, M., Lofgren, B.M., Lusch, D.P., Moore, N.J., Pijanowski, B.C., Jiaguo, Qi, Thornton, Philip K., Torbick, N.M., Wang, S.

“…It also requires an analysis of causal linkages and feedback loops between systems. …”
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Sources of resistance to angular leaf spot (Phaeoisariopsis griseola) in common bean core collection, wild Phaseolus vulgaris and secondary gene pool por Mahuku, George S., Jara, Carlos E., Cajiao V., César Hernando, Beebe, Stephen E.

“…Angular leaf spot (ALS) is one of the most devastating diseases of common bean (Phaseolus vulgaris L.) in tropical and subtropical countries. The causal fungus, Phaeoisariopsis griseola(Sacc.) Ferr. is highly variable and a diverse source of resistance genes is required to manage this disease. …”
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Artificial microRNA-derived resistance to Cassava brown streak disease por Wagaba, Henry, Patil, Basavaprabhu L., Mukasa, Settumba, Alicai, Titus, Fauquet, Claude M., Taylor, Nigel J.

“…Artificial miRNAs (amiRNA) were generated targeting conserved sequences within the genomes of the two causal agents of Cassava brown streak disease (CBSD): Cassava brown streak virus (CBSV) and Ugandan cassava brown streak virus (UCBSV). …”
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