Agronomy Journal · 2004 · 142 citations · 29 references
AgricultureAgronomyCrop SciencesCrop ImprovementCrop ProductionHybrid BreedingAgronomic Trait EvaluationCrop Water RequirementsHybrid Performance EvaluationAgronomic ProductivityCrop Response To Water DeficitCrop Sensitivity To Water StressPhysiological Tolerance MechanismsSoil Water DeficitWater Stress Effects On YieldYield Response To EnvironmentYield Response To Water
Maintaining current high yields of corn ( Zea mays L.) grown in the USA poses an environmental threat due to continued overuse of water and N inputs. To reduce overreliance on inputs, future corn breeding efforts should focus on improving tolerance of corn to water and N stresses, utilizing appropriate tolerance mechanisms. The objective of this study was to identify appropriate mechanisms by characterizing agronomic responses of 12 hybrids from three different eras (‘B73 × Mo17’ from 1970s and three early 1990s and eight late 1990s Pioneer brand hybrids) to varying water and N supply. This was done by growing the hybrids under deficit and adequate levels of water (one‐half and full evapotranspiration) and N (0 and 200 kg ha −1 ) in a field study and measuring yield and other agronomic variables. While hybrid eras didn’t differ in response to varying water or N, individual hybrids varied in ability to maintain yield under water or N stress. For example, under deficit water, ‘3417’ produced 27% more yield than ‘3162’ while they yielded similarly under adequate water. Likewise, under deficit N, ‘34R07’ produced 42% more grain yield than ‘33G27’ while they yielded similarly under adequate N. Agronomic variables such as kernel number per unit area were highly correlated with grain yield ( r = 0.98), indicating hybrid ability to maximize kernel number under varying water and N supply was critical to maximizing yield. Determining physiological mechanisms associated with ability to maintain kernel number under stress should be a high priority of breeding programs.
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Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood
Michael G. Kenward, James Roger · Biometrics · 1997 · 4.5K citations
Improving Nitrogen Use Efficiency for Cereal Production
W. R. Raun, Gordon V. Johnson · Agronomy Journal · 1999 · 1.9K citations
Agriculture, Agronomy, Crop Sciences +17
R. Novoa, R. S. Loomis · Plant and Soil · 1981 · 611 citations
Kernel Number Determination in Maize
Fernando H. Andrade, Claudia Rosa Cecilia Vega, Sergio Adolfo Uhart et al. · Crop Science · 1999 · 467 citations