2022
DOI: 10.1016/j.fcr.2022.108578
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Estimating maize harvest index and nitrogen concentrations in grain and residue using globally available data

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Cited by 12 publications
(9 citation statements)
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“…The GVIF is more appropriate than the VIF if the model includes categorical variables leading to a degree of freedom > 1. As in Ludemann et al (2022) , GVIF< 10 was considered acceptable. The assumptions of normality and homoscedasticity of residuals were assessed with the normal quantile-quantile plots.…”
Section: Methodsmentioning
confidence: 99%
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“…The GVIF is more appropriate than the VIF if the model includes categorical variables leading to a degree of freedom > 1. As in Ludemann et al (2022) , GVIF< 10 was considered acceptable. The assumptions of normality and homoscedasticity of residuals were assessed with the normal quantile-quantile plots.…”
Section: Methodsmentioning
confidence: 99%
“…Only grain Fe models did not meet the normal distributions of residuals but no data transformations were done to remedy this since our very large observations (>10 per variable) would nullify any influence of such on the outcomes ( Schmidt and Finan, 2018 ). Interaction effects of explanatory variables were omitted to reduce the probability of introducing false inferences or type 1 errors ( Ludemann et al, 2022 ).…”
Section: Methodsmentioning
confidence: 99%
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“…N represents up to 5% of total dry matter [11] and is a constituent of leaf pigments, such as chlorophyll, amino acids, nucleic acids, proteins, and plant hormones [12,13]. The low availability of nitrogen in the soil directly impacts corn yield, with adverse effects on the weight and length of ears [14], 100-grain weight, prolificacy [15,16], as well as plant height [17]. These compromises in the agronomic components of production result from the effects of N limitation on photosynthetic capacity [18].…”
Section: Introductionmentioning
confidence: 99%