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Autor: Kai Sonder
Guo-Bo Chen awais rasheed Kai Sonder Cristian Zavala Espinosa Denise Costich Patrick Schnable Sarah Hearne Huihui Li (2019)
This dataset contains the genotypic data obtained using genotyping-by-sequencing (tGBS®) technology (Data2Bio LLC) and the passport data of a total of 1,143 maize accessions, which were collected from 20 countries, including 11 teosinte inbred lines, 764 landraces sampled from the maize collection of the CIMMYT germplasm bank (MGB), 290 CIMMYT elite maize lines (CMLs), and 78 popcorn lines from the USDA Ames inbred collection (Romay et al., 2013).
Dataset
Production vulnerability to wheat blast disease under climate change
Diego Pequeno Jose Mauricio Fernandes Pawan Singh Willingthon Pavan Kai Sonder Richard Robertson Timothy Joseph Krupnik Olaf Erenstein Senthold Asseng (2024)
Artículo
Wheat Blast Tropical Regions CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT PLANT DISEASES CLIMATE CHANGE PRODUCTION
Sustainable Wheat & Maize Production in Afghanistan (ACIAR funded, Project number: CIM/2011/026)
Susanne Dreisigacker Rajiv Sharma Eric Huttner Aziz Karimov Carolina Sansaloni Rosemary Shrestha Kai Sonder Hans-Joachim Braun (2019)
Since 2012, Australian support has resulted in the release of 23 wheat varieties by Afghanistan’s National Varietal Release Committee (NVRC). These varieties deliver both improved yield and disease tolerance. A 2015/16 farmer survey confirmed that farmers were indeed sharing seed with an average of three relatives/neighbours – although with no indication of how much seed was shared. This uncertainty regarding the adoption of new varieties has been intended to resolve by a recent DNA assessments of seed collected in 2015/16 that shows the general prevalence of the new varieties across 600 surveyed farms.
Dataset
Replication data for: Increased ranking change in wheat breeding under climate change
Wei Xiong Matthew Paul Reynolds Jose Crossa Urs Schulthess Kai Sonder Carlo Montes Nicoletta Addimando Ravi Singh Karim Ammar Bruno Gerard Thomas Payne (2022)
A standard quantitative genetic model was used to examine how genotype-environment interactions have changed over the past decades from four spring wheat trial data sets. The variability of cross interactions for yield from one year to another is explained in more than 70% by climatic factors.
Dataset