Assessment across the United States of the Benefits of Altered Soybean Drought Traits

By Thomas R. Sinclair, C. Messina, Andrew P. Beatty, Mitch Samples. 2010

283 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7397d857c104b78b2eca55e550f17fb15feeb375

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In Plant Science

Citations in the corpus

Modelling possible benefits of root related traits to enhance terminal drought adaptation of chickpea (2012, methodology): “However, faster leaf area development trait might have a positive impact in wet seasons or locations when water is not limiting because there would also be an increase in radiation interception, likely resulting in a yield increase as compared with the slower leaf area development (Sinclair et al., ”
Industry-Scale Evaluation of Maize Hybrids Selected for Increased Yield in Drought-Stress Conditions of the US Corn Belt (2015, background): “] (Sinclair et al., 2010) indicate that the limited-transpiration trait and the associated changes in patterns of water use can improve crop yields under water-limited conditions.”
Genotypic variation in peanut for transpiration response to vapor pressure deficit (2010, methodology): “Sinclair et al. (2009) performed a simulation analysis of soybean yield for genotypes that were assumed to express the VPD response trait.”
Root traits contributing to plant productivity under drought (2013, background): “…for the genotype by environment by management (G × E × M) interaction because improving crop productivity will require breeding for different plant traits and growth strategies in different environments and under different management (Sinclair et al., 2010; Passioura, 2012; Reynolds et al., 2012).”
The future of grain legumes in cropping systems (2012, background): “In a simulation study, Sinclair et al. (2010) found that decreasing the sensitivity of N fixation to soil drying in soybean would increase yields substantially in most soybean production areas in the USA.”
SSM-Wheat: a simulation model for wheat development,growth and yield (2013, methodology): “Models are being used to understand the response of crops to possible changes in crop traits (Sinclair et al., 2010; Soltani and Sinclair, 2012b; Soltani and Sinclair, 2012c), cultural management (Soltani et al., 2001a; Soltani and Hoogenboom, 2007) and environmental variables (Soltani et al.,…”
Inter-comparison of performance of soybean crop simulation models and their ensemble in southern Brazil (2017, background): “…and SENTELHAS, 2014), the effects of climate change on yield (WHITE et al., 51 2011; ASSENG et al., 2013), identify drought tolerance traits (SINCLAIR et al., 2010; 52 BOOTE, 2011; BATTISTI and SENTELHAS, 2015), as well as many other possibilities 53 (TSUJI et al., 1998; WALLACH et al.,…”