In-Season Prediction of Corn Grain Yield Potential Using Normalized Difference Vegetation Index

By Randall Teal, Brenda S. Tubana, K. Girma, K. Freeman, Daryl Brian Arnall, O. Walsh, W. Raun. 2006

340 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Plant Science

View Paper: https://www.semanticscholar.org/paper/254fee01b5edc642c1fcac709b9f7fc83143c1ec

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Marvin L. Stone
2. W. Raun
3. A. Klatt
4. J. Solie

In Plant Science

1. W. Raun
2. J. Solie
3. Marvin L. Stone
4. Aristotelis C. Tagarakis
5. Quirine M. Ketterings
6. A. Klatt
7. Brenda S. Tubana
8. O. Walsh

Citations in the corpus

• EFFECT OF DELAYED NITROGEN FERTILIZATION ON MAIZE (ZEA MAYS L.) GRAIN YIELDS AND NITROGEN USE EFFICIENCY (2012, methodology): “Teal et al. (2006) showed maize grain yield potential can be accurately estimated mid-season using NDVI at the V8 growth stage.”
• Independence of yield potential and crop nitrogen response (2011, background): “This is relevant because various authors have shown that early-season normalized difference vegetation index (NDVI) sensor readings can be used to predict yield potential for corn and wheat (Teal et al. 2006; Raun et al. 2001; Hochheim and Barber 1998).”
• Estimating Rice Grain Yield Potential Using Normalized Difference Vegetation Index (2011, positive): “Unlike previous studies with wheat or corn (Raun et al., 2001; Teal et al., 2006), normalizing the NDVI data by either DFS or GDD in our study resulted in a reduction in the equations ability to estimate yield potential in most instances.”
• In-Season Estimation of Corn Yield Potential Using Proximal Sensing (2017, result): “Teal et al. (2006) developed models to predict corn grain yield based on NDVI, INSEYGDD, and INSEYDAP with similarly good results (R2 ranged from 0.73–0.77).”