Exploring genotype, management, and environmental variables influencing grain yield of late-sown maize in central Argentina

Brenda L. Gambin, Tomás Coyos, Guido Di Mauro, Lucas Borrás and Lucas A. Garibaldi

Agricultural Systems, 2016, vol. 146, issue C, 11-19

Abstract: Maize is one of the most important crops worldwide. The analysis of the influences of genotype, management, and environmental variables on grain yield has important consequences for guiding farmer’s decisions. Argentina is facing relevant changes in its production system, as farmers are planting later in the growing season. It is unclear, however, which management decisions are critical, and how they interact with contrasting genotypes. Using mixed-effects models we analyzed the influences of different genotypes, management, environmental predictors and relevant two-way interactions between these predictors on grain yield in late-sown maize. On-farm multi-environmental trials were conducted during two years (2013 and 2014), with a total of 9 genotypes tested at 23 different environments in the central region of Argentina. The influence of management variables like planting date, stand density, N availability, and soil P were explored. Similarly, we analyzed the influence of environmental variables like soil type, rainfall during the crop cycle, and the presence of an influencing water table.

Keywords: Zea mays L.; Grain yield; Mixed-effects models; Genotype×management interaction (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:146:y:2016:i:c:p:11-19

DOI: 10.1016/j.agsy.2016.03.011

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