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Unlocking farmer-preferred multipurpose forage mixtures: A tricot approach in Ethiopia by Mulatu, Kalkidan, De Sousa, Kaue, Ebrahim, Mohammed, Notenbaert, An, Abera, Wuletawu, Mwendia, Solomon, Girma, Eyuel, Jørgensen, Marit

“…The preference ranking likely reflects the most probable choices for adoption by livestock and forage producers in the study areas and potentially in similar environments. …”
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Loss-of-function Alleles of Heading date 1 (Hd1) are Associated with Adaptation of Temperate Japonica Rice Plants to the Tropical Region by Kim, Sung-Ryul, Torollo, Gideon, Yoon, Mi-Ra, Kwak, Jieun, Lee, Choon-Ki, Prahalada, G.D., Choi, Il-Ryong, Yeo, Un-Sang, Jeong, O-Young, Jena, Kshirod K., Lee, Jeom-Sig

“…Adaptation of temperate japonica rice varieties to tropical regions is impeded by extremely early flowering probably due to photoperiod change from long to short. …”
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Rice-infecting Pseudomonas genomes are highly accessorized and harbor multiple putative virulence mechanisms to cause sheath brown rot by Quibod, Ian Lorenzo, Grande, Genelou, Oreiro, Eula Gems, Borja, Frances Nikki, Dossa, Gerbert Sylvestre, Mauleon, Ramil, Vera Cruz, Casiana, Oliva, Ricardo

“…The genomes of P. fuscovaginae-like harbor four secretion systems (Type I, II, III, and VI) and other important pathogenicity machinery that could probably facilitate rice colonization. We identified 123 core secreted proteins, most of which have strong signatures of positive selection suggesting functional adaptation. …”
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Mapping soil texture classes using field texturing, particle size distribution and local knowledge by both conventional and geostatistical methods by Oberthür, T., Goovaerts, P., Dobermann, A.

“…We investigated the utility of three interpolation techniques that ignored descriptive `soft' information and one that used it for mapping topsoil texture classes: re‐coding of soil map units within Geographical Information Systems (GIS), Thiessen polygons, and classifcation of probability vectors estimated by ordinary indicator kriging and simple indicator kriging with local prior means. …”
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Rhizobial lipochitooligosaccharide nodulation factors activate expression of the legume early nodulin gene ENOD12 in rice by Reddy, Pallavolu M., Ladha, Jagdish K., Ramos, Marilou C., Maillet, Fabienne, Hernandez, Rowena J., Torrizo, Lina B., Oliva, Norman P., Datta, Swapan K., Datta, Karabi

“…Exogenous application ofN‐naphthaleneacetic acid mimicked the Nod factor‐elicited tissue‐specific expression ofMtENOD12 in roots while cytokinins inhibited it, thus evidencing that Nod factors, auxin and cytokinins probably act on similar signaling elements responsible for the regulation ofMtENOD12 activation in rice. …”
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Genetic of Fertility Restoration of ‘WA’ Type Cytoplasmic Male Sterility in Rice by Raj, K. Govinda, Virmani, S.S.

“…Testcross observations involving parental lines in the pedigree of IR36 and IR42 revealed that ‘Cina’, ‘Latisail’, ‘Tadukan’, ‘TN1’, ‘TKM 6’ and (two accessions) ‘PTB 18’ and ‘SLO 17’ are the probable original sources of R genes in the two restorer lines.…”
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Threshold-based flood early warning in an urbanizing catchment through multi-source data integration: satellite and citizen science contribution by Tedla, H. Z., Bekele, Tilaye Worku, Nigussie, Likimyelesh, Negash, E. D., Walsh, C. L., O'Donnell, G., Haile, Alemseged Tamiru

“…During validation, the rainfall and river water level threshold combination outperformed other threshold combinations with probability of detection, false alarm ratio, and critical success index estimates of 0.74, 0.18 and 0.63, respectively. …”
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TAFSSA District Agrifood Systems Assessment in Bangladesh 2023: Local Market and Retail Census by International Rice Research Institute, International Food Policy Research Institute

“…The study employed a census across 50 villages per district, selected based on the probability proportional to the number of households in each village. …”
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Chapter 6. Maize improvement for drought-limited environments by Edmeades, Gregory O., Bänziger, Marianne, Ribaut, Jean-Marcel

“…Eyherabide and colleagues (1997), in a simulation study of major maize-producing areas of Argentina, noted that in the region where yields are the highest, there is a 50 percent probability of at least a 50 mm deficit in water during the flowering period. …”
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Farmer typology and adoption of improved cassava production technologies in the Eastern Democratic Republic of the Congo by Nabahungu, N.L., Mirali, J.C., Simbeko, G., Amato, S., Mirali, G.M., Muhindo, P.M., Kitangala, C., Balangaliza, F.B., Dontsop-Nguezet, P., Kintche, K., Udomkum, P., Mignouna, J., Vanlauwe, B.

“…Specifically, in South Kivu, gender influences fertilizer adoption by 18.0% (Cluster 1) and 14.9% (Cluster 5) while marital status enhances fertilizer adoption and with being married raising the probability by 0.52% (Cluster 4). These findings emphasize the importance of education, gender, income resource access, and targeted interventions to improve agricultural technology adoption. …”
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Maximizing genetic gains while maintaining an efficient sweetpotato breeding cycle in SSA: Lessons from NARO-NaCRRI by Serenje, G., Njobvu, J., Makunde, G.S., Musundire, L., Sneller, C.

“…This larger breeding population enhances the probability of identifying superior lines across multiple trait targets. …”
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Farmers’ perception and management of water scarcity in irrigated rice-based systems in dry climatic zones of West Africa by Johnson, Jean-Martial, Becker, Mathias, Dossou-Yovo, Elliott Ronald, Saito, Kazuki

“…Belonging to farming associations increased the probability of implementing several strategies to alleviate water scarcity, while female-headed households tended to have a lower propensity to adopt and implement concomitantly several adaptation strategies in comparison with their male counterpart. …”
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Genetic variation associated with increased lambda-cyhalothrin resistance in Spodoptera frugiperda (Lepidoptera: Noctuidae) in West Africa by Tossou, E., Tepa-Yotto, G., Goergen, G., Tchigossou, G., Tchouakui, M., Nguete, D.N., Amadou, L., Noussourou, M., Bokonon-Ganta, A., Wondji, C.S., Tamò, Manuele, Djouaka, R.F.

“…The RFLP-PCR method showed that the majority of the population tested was a corn strain (72.5–100%) compared to the probable rice strain (0–27.5%). Tpi sequencing of the suspected rice strains revealed that almost all the samples analysed were from corn (> 97%). …”
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Options for strengthening the international legal regime for forests: a report prepared for the European Commission under the study contract B7-8110/96/000221/D4 (proposal for a le... by Glück, P., Tarasoffsky, R.G., Byron, R.N., Tikkanen, I.

“…The report examines the feasibility, probability and costs of agreeing on a new instrument, and then of implementing that agreement; and the likely distributional impacts, both between and within countries. …”
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Role of functional genes for seed vigor related traits through genome-wide association mapping in finger millet (Eleusine coracana L. Gaertn.) by Kannababu, Netyam, Nanjundappa, Sandeep, Narayanan, Neha, Vetriventhan, Mani, Venkateswarlu, Ronda, Das, Indra K., Srikanth, Arutla, Viswanath, Aswini, Singh, Swati, Malipatil, Renuka, Satyavathi, Tara C., Thirunavukkarasu, Nepolean

“…Functional annotation revealed DET1 and expansin-A2 influenced seed coat integrity, critical for germination and aging resilience. Probable protein phosphatase 2C3 and piezo-type ion channels contributed to mechanical sensing and stress adaptation in seeds. …”
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Threshold effects of extreme heat on schooling and child labor in rural Bangladesh by Bakhtiar, M. Mehrab, Karim, Ridwan

“…Extending the analysis to early-life conditions, exposure during the first 1,000 days also reduces adolescent schooling probability by 3.4-3.8 percentage points, with strongest effects at ages one and two. …”
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Crise economique et changements politiques en Indonesie: premiers effets sur le secteur forestier by Sunderlin, William D.

“…The author reviews the likely effects on the forest sector. (1) Decreased demand for Indonesian plywood from main importers (Japan, South Korea and Taiwan) is largely compensated by increased demand from other countries and Malaysia's decision to restrict its wood product exports. (2) Expansion of agriculture will occur partly at the expense of forest cover: spontaneous clearing by farmers, and large scale clearings for agro-industry plantations, mainly oil palm, then cocoa, coffee, rubber trees, pepper, as well as shrimp ponds in mangroves. (3) Transmigration will probably not slow down, foreign aid compensating for the decline of State aid. (4) Unemployed people in the urban sector migrate to rural areas, and young people in the rural areas remain there which may increase pressure on forests for three reasons: a) incentives to expand plantations for export; b) incentives to produce food crops locally (rice, maize, soya) to reduce imports; c) shortage of capital for inputs, that may encourage extensive agriculture. (5) Expansion of mining in forest areas (coal, iron, and nickel) may lead to degradation of important protection forests. (6) The likely slowdown of major road programmes will reduce their direct and indirect impacts on forests. (7) Policy changes as a prerequisite to IMF loans will have negative effects on forest conservation when they encourage plantations for export (oil palms). (8) President Habibie has launched a wave of policy reforms to remedy former abuses in granting timber concessions, and the resulting forest deterioration. …”
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Manejo forestal sostenible y carbono en América Latina tropical by Nasi, Robert, Putz, F.E., Pacheco, P., Wunder, Sven, Anta, S.

“…Asimismo, se ofrece un marco para la discusión de las formas para mejorar el manejo forestal conducente a lograr objetivos ambientales que al mismo tiempo promuevan el desarrollo nacional y local, y contribuyan a los medios de vida de las poblaciones locales. Es probable que muchas prácticas dirigidas a hacer posible el manejo forestal sostenible solo se adopten si existe una buena gobernanza respaldada por incentivos financieros para el cumplimiento efectivo de las regulaciones del manejo. …”
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Hazard identification and exposure assessment for bacterial risk assessment of informally marketed milk in Abidjan, Côte d'Ivoire by Kouamé-Sina, S.M., Makita, K., Costard, Solenne, Grace, Delia, Dadie, A., Dje, M., Bonfoh, Bassirou

“…The investigation into local raw milk consumption patterns showed that the proportion of raw milk consumption was 51.6% in people who consume milk. The probability of ingestion of marketed raw milk that failed to meet standards for this group of bacteria was 29.9% and about 652 consumers per day were estimated to ingest contaminated milk. …”
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A transport model for the spread of bird flu by Hansen, Frank, Sonder, Kai, Okike, Iheanacho, Bett, Bernard K., Randolph, Thomas F., Mariner, Jeffrey C., Pfeiffer, Dirk U.

“…The data were also used to calculate the expected number of secondary outbreaks resulting from an infected farm during the period the farm is infective. The probability distribution of the number of secondary outbreaks is used to predict the future spread of disease and to access the quantity of poultry affected. …”
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