Chlorophyll relative index for diagnosing nitrogen status in corn hybrids
نویسندگان
چکیده
منابع مشابه
An Algorithm for Corn Nitrogen Recommendations Using a Chlorophyll Meter Based Sufficiency Index
Nitrogen fertilizer continues to be the major input influencing corn (Zea mays L.) yield in the Midwest. Improved N recommendations should result in greater N use efficiency and producer profit while reducing surface and groundwater contamination. This study was conducted to develop a plant-based technique to detect and correct N deficiencies during the season. Chlorophyll meter readings and gr...
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A plant’s photosynthetic potential is directly proportional to the quantity of chlorophyll present in the leaf Measuring a crop’s physiological parameters provides information tissue. Rapid estimates of photosynthetic potential can for interpreting its response to the environment. Remote sensing is quickly becoming recognized as a valuable tool that has the potential be important for studies of...
متن کاملCanopy Chlorophyll Density Based Index for Estimating Nitrogen Status and Predicting Grain Yield in Rice
Canopy chlorophyll density (Chl) has a pivotal role in diagnosing crop growth and nutrition status. The purpose of this study was to develop Chl based models for estimating N status and predicting grain yield of rice (Oryza sativa L.) with Leaf area index (LAI) and Chlorophyll concentration of the upper leaves. Six field experiments were conducted in Jiangsu Province of East China during 2007, ...
متن کاملSelecting Corn Hybrids
Corn is physiologically mature when kernels reach maximum dry weight and are safe from frost. All milky fluid disappears from the kernel, and the black layer, a dark layer of cells, forms near the tip of mature kernels. Most hybrids adapted to Wisconsin reach this stage when kernel moisture decreases to 30–32%, but it may not occur until moisture content decreases to 28% for some early hybrids....
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ژورنال
عنوان ژورنال: African Journal of Agricultural Research
سال: 2017
ISSN: 1991-637X
DOI: 10.5897/ajar2017.12216