Person: Sonder, K.
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Sonder
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K.
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Sonder, K.
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0000-0001-9672-536117 results
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Now showing 1 - 10 of 17
- Series of thematic maps on biophysical and socioeconomic status of Nepal to guide targeting of agricultural technologies(CIMMYT, 2023) Sonder, K.; Lopez-Ridaura, S.
Publication - Series of thematic maps on biophysical and socioeconomic status of Malawi to guide targeting of agricultural technologies(CIMMYT, 2023) Sonder, K.; Lopez-Ridaura, S.
Publication - Climate variability and simultaneous breadbasket yield shocks as observed in long-term yield records(Elsevier, 2023) Anderson, W.; Baethgen, W.; Capitanio, F.; Ciais, P.; Cook, B.I.; Cunha, C.G.R.; Goddard, L.; Schauberger, B.; Sonder, K.; Podesta, G.; Van der Velde, M.; Liangzhi You
Publication - Escenarios de futuro cambio climático en la producción de maíz(CIMMYT, 2022) Sonder, K.
Publication - Maize Lethal Necrosis disease: review of molecular and genetic resistance mechanisms, socio-economic impacts, and mitigation strategies in sub-Saharan Africa(BioMed Central, 2022) Biswal, A.K.; Alakonya, A.; Mottaleb, K.A.; Hearne, S.; Sonder, K.; Molnar, T.L.; Jones, A.M.; Pixley, K.V.; Prasanna, B.M.
Publication - Global maize production, consumption and trade : trends and R&D implications(Springer, 2022) Erenstein, O.; Jaleta, M.; Sonder, K.; Mottaleb, K.A.; Prasanna, B.M.
Publication - Introgression of maize diversity for drought tolerance: subtropical maize landraces as source of new positive variants(Frontiers, 2021) Medeiros Barbosa, P.A.; Fritsche-Neto, R.; Carvalho, M.; Petroli, C.; Burgueño, J.; Galli, G.; Willcox, M.; Sonder, K.; Vidal Martinez, A.; Sifuentes-Ibarra, E.; Molnar, T.L.
Publication - Climate change and food security in the developing world: potential of maize and wheat research to expand options for adaptation and mitigation(Academic Journals, 2012) Hellin, J.; Shiferaw, B.; Cairns, J.E.; Reynolds, M.P.; Ortiz-Monasterio, I.; Banziger, M.; Sonder, K.; La Rovere, R.
Publication - Impacts of drought-tolerant maize varieties on productivity, risk, and resource use: evidence from Uganda(Elsevier, 2019) Simtowe, F.P.; Amondo, E.; Marenya, P.P.; Rahut, D.B.; Sonder, K.; Erenstein, O.Weather variability is an important source of production risk for rainfed agriculture in developing countries. This paper evaluates the impacts of the adoption of drought-tolerant maize varieties on average maize yield, yield stability, risk exposure and resource use in rainfed smallholder maize farming. The study uses cross-sectional farm household-level data, collected from a sample of 840 farm households in Uganda. The adoption of drought-tolerant maize varieties increased yield by 15% and reduced the probability of crop failure by 30%. We further show that the adoption of these varieties increased investments in maize production at the extensive margin through maize area increase and to a more limited extent at the intensive margin through mechanization. The findings show promise for further uptake and scaling of drought-tolerant maize varieties for increased productivity, reduced risk, and the transformation of the maize sector.
Publication - Identifying loci with breeding potential across temperate and tropical adaptation via EigenGWAS and EnvGWAS(Wiley, 2019) Jing Li; Gou-Bo Chen; Rasheed, A.; Delin Li; Sonder, K.; Zavala Espinosa, C.; Jiankang Wang; Costich, D.E.; Schnable, P.S.; Hearne, S.; Huihui LiUnderstanding the genomic basis of adaptation in maize is important for gene discovery and the improvement of breeding germplasm, but much remains a mystery in spite of significant population genetics and archaeological research. Identifying the signals underpinning adaptation are challenging as adaptation often coincided with genetic drift, and the base genomic diversity of the species in massive. In this study, tGBS technology was used to genotype 1,143 diverse maize accessions including landraces collected from 20 countries and elite breeding lines of tropical lowland, highland, subtropical/midaltitude and temperate ecological zones. Based on 355,442 high-quality single nucleotide polymorphisms, 13 genomic regions were detected as being under selection using the bottom-up searching strategy, EigenGWAS. Of the 13 selection regions, 10 were first reported, two were associated with environmental parameters via EnvGWAS, and 146 genes were enriched. Combining large-scale genomic and ecological data in this diverse maize panel, our study supports a polygenic adaptation model of maize and offers a framework to enhance our understanding of both the mechanistic basis and the evolutionary consequences of maize domestication and adaptation. The regions identified here are promising candidates for further, targeted exploration to identify beneficial alleles and haplotypes for deployment in maize breeding.
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