Search Results - "Windows"

Phenology, sterility and inheritance of two environment genic male sterile (EGMS) lines for hybrid rice by El-Namaky, R., Oort, P.A.J. van

“…The model was applied to investigate the viability of the two line breeding system in the same location with climate change (+2oC) and in two other potential locations: in M'Be in Ivory Coast and in the Nile delta in Egypt.Apart from giving new insights in the relation between environment and EGMS, this study shows that these insights can be used to assess safe sowing windows and assess the suitability of sterility and fertility period of different environments for a two line hybrid rice production system.…”
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Survey design and rural labor measurement: Lessons from three studies by Ambler, Kate, Herskowitz, Sylvan, Maredia, Mywish K.

“…The papers examine the effects of household roster order, question type, and recall windows on resulting data. Survey design decisions matter and, if not careful, can induce unintended noise, or more troublingly, bias in resulting data.…”
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Real-time social data collection in rural Bangladesh via a ‘Microtasks for Micropayments’ platform on Android smartphones by Bell, Andrew R., Ward, Patrick S., Killilea, Mary E., Tamal, Md. Ehsanul Haque

“…In particular, smartphones allow researchers to connect with respondents more frequently than standard household surveys, opening a new window into important short-term variability in key measures of household and community wellbeing. …”
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NonCropShare coordination game by Bell, Andrew, Zhang, Wei, Bianchi, Felix, van der Werf, Wopke

“…This version of NonCropShare is intended to be used on a set of Windows-8 tablets, linked across a wireless network. …”
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How can we engage farmers in bioenergy development? Building a social innovation strategy for rice straw bioenergy in the Philippines and Vietnam by Minas, Angela Mae, Mander, Sarah, McLachlan, Carly

“…Our results showed potential windows of opportunity to engage farmers in bioenergy development. …”
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Delivering Context-Specific Agro-Advisories and Climate-Smart Practices to Last-Mile Beneficiaries for Effective Climate Risk Management in Senegal by Akinseye, Folorunso Mathew, Kebe, Amy, Faye, Aliou, Emanuel, Jacob, Worou, Nadine, Kumar, Shalander, Whitbread, Anthony, Wane, Abdrahmane

“…At the same time, more than 300 demonstration plots have been used to test integrated fertilisation (ISFM) and adapted sowing windows. These actions strengthen climate resilience, local decision-making and institutional capacities around agricultural risk management in Senegal.…”
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Sustainable approach for cassava processing in Africa by Sanni, Lateef O., Abass, A., Dixon, A., Tarawali, G., Westby, Andrew

“…The future of cassava processing rests on effective implementation of those cassava initiatives and development of commercial “windows” for cassava processors through networking, partnership, advocacy, documentation, dissemination in different languages, mentorship, and enhanced marketing linkages of cassava produce with high levels of added-value products.…”
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Återhämtning i gröna miljöer vid fysisk och psykisk ohälsa - en kartläggning by Boberg, Fanny

Knowledge brokers within the multiple streams framework: The science-policy interface for livestock and climate change discussions in Kenya by Cramer, Laura K., Crane, Todd A., Dewulf, Art

“…There are opportunities for knowledge brokers to address the ambiguities and translate knowledge during windows of opportunity when the streams are being coupled. …”
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DREAMpy by International Food Policy Research Institute

“…Users now can download the DREAMpy software package and run it directly without having to install any additional software on their Windows computers. DREAMpy built-in Excel input worksheets guide users, allowing them to run evaluations with different degrees of complexity. …”
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A simple model for predicting agronomy floods in rice fields in Bicol, Philippines by Wei, Xiaojing, Balanza Girly, Jane, Raviz, Jeny, Castillo, Rowena, Baradas, Airene, Laborte, Alice

“…The best-performed model, with three-day lookback window, captured 65% of variation in flooding among events. …”
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Integrated systems research in nutrition-sensitive landscapes: A theoretical methodological framework by Groot, Jeroen C.J., Kennedy, G., Remans, R., Estrada-Carmona, Natalia, Raneri, Jessica Evelyn, DeClerck, Fabrice A.J., Álvarez, S., Mashingaidze, N., Timler, Carl J., Stadler, M., Rio Mena, T. del, Horlings, L., Brouwer, Inge D., Cole, Steven M., Descheemaeker, Katrien K.

“…This chapter describes systems and systematically explores windows of opportunity for sustainable redesign and innovation in landscape and farm systems for improved nutrition using whole-farm and landscape models for each site. …”
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Modelo computarizado de análisis financiero para sistemas agropecuarios en el valle del Guayape, Olancho, Honduras by Jaramillo D., Inti D.

“…Una de sus funciones es dar asesoría financiera a los productores, para lo cual se elaboró en la hoja electrónica Lotus 123 v5.0 para Windows. Se obtuvo una base de datos con los precios de todos los insumos y productos del valle del Guayape, así como también la base de sistemas, donde se encuentra la tecnología de cada cultivo. …”
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Hinder för svenskt trä inom den italienskabyggbranschen i allmänhet och produktsegmentenfönster och dörrar i synnerhet by Viklund, Magnus

“…Pine wood is used to a fairly large extent in the makings of windows in Italy. There are however some impediments for the offset of Swedish wood on the Italian window market. …”

Actions and leverage points for ecosystem-based adaptation pathways in the Alps by Bruley, E., Locatelli, Bruno, Colloff, Matthew J., Salliou, N., Métris, T., Lavorel, S.

“…Synergies among multiple co-production actions create windows of opportunity for local communities to achieve their vision through the combination of social levers. …”
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Single-step genome-wide association study of milk somatic cell scores across multi-cattle breeds in Ethiopia by Chernet, T.F., Tarekegn, G.M., Okeyo Mwai, Ally, Meseret, Selam, Mrode, Raphael A., Negussie, E., Bedada, Z.E., Gebreyohanes, Gebregziabher, Ekine-Dzivenu, Chinyere C., Tera, A., Tessema, T.S.

“…Genetic variance using 20 adjacent SNPs sliding windows explaining ≥1% of the total genetic variance were used for candidate genes and quantitative trait loci (QTL) identifications. …”
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Motivations and incentives for mechanization in Zambia: a mixed-methods analysis by Mulungu, Kelvin, Ngoma, Lushomo Molly, Mhembere, Rumbidzai, Manyanga, Mark, Simutowe, Esau, Thierfelder, Christian, Matin, Md. Abdul, Ngoma, Hambulo

“…The analysis shows that the motivations for tractor ownership are centred around both productivity enhancement and income generation through service provision, with farmers valuing tractors’ ability to improve operational timeliness given narrowing planting windows. The results reveal a clear divergence in ownership preferences. …”
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Appropriate frequency and time of day to measure methane emissions from an irrigated rice paddy in Japan using the manual closed chamber method by Minamikawa K, Yagi, K., Tokida T, Sander, Björn Ole, Wassmann, Reiner

“…The typical diurnal variation in the CH 4 flux was observed after the rice's heading stage, during which the daily time-weighted mean CH 4 flux was observed twice, in the 08:00 11:59 and 18:00 21:59 time windows. During the flooded rice-growing period, the CH 4 emissions, which were estimated by weekly measurements once per day during the 10:00 11:59 time window, corresponded to 93 106% of the emissions calculated using the automated measurement method. …”
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Evaluation of bias correction method for satellite-based rainfall data by Bhatti, H.A., Rientjes, T.H.M., Haile, Alemseged Tamiru, Habib, E., Verhoef, W.

“…Bias correction factors are calculated for moving window (MW) sizes and for sequential windows (SW’s) of 3, 5, 7, 9, ... , 31 days with the aim to assess error distribution between the in-situ observations and CMORPH estimates. …”
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Effects of wetness duration and grain development stages on sorghum grain mold infection by Navi, S., Bandyopadhyay, Ranajit, Reddy, R., Thakur, R., Yang, X.

“…However, infection frequency varied among fungi and grain development stages, indicating that individual fungi might have different windows for maximum infec-tion during the grain development stages.…”
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