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a Texas A&M Univ. Texas Agricultural Experiment Station, RR 3, Box 219, Lubbock, TX 79403
b Soil-Plant Nutrient Res. Unit, USDA-ARS, P.O. Box E, Fort Collins, CO 80522
c Dep. Agric. & Applied Econ., Texas Tech Univ., Lubbock, TX 79409
* Corresponding author (k-bronson{at}tamu.edu).
Nitrogen recommendations for Upland cotton (Gossypium hirsutum L.) in the western USA are based on spring soil NO-3N tests. In-season monitoring of plant N status is another approach. Our primary objective was to test spectral reflectance and chlorophyll meter measurements as in-season N decision aids for irrigated cotton, and to compare these with soil test-based N management. The secondary objective was to determine the fate of 15N as affected by N management and irrigation modes. Urea ammonium nitrate was applied with low energy precision (LEPA) center-pivot, surface drip, and subsurface drip irrigation. Microplots received 3 atom% 15N. Soil test N application was based on 0- to 60-cm soil NO-3N and 1400 kg lint ha-1 expected yield. Thirty-four kilograms of N per hectare was applied when green vegetative index (GVI) or chlorophyll meter readings relative to well-fertilized plots were <0.95. Lint yield responded to N at Lubbock in 2000 and 2001, but not at Ropesville. Nitrogen applied with in-season monitoring in 2000 at both sites was 34 to 101 kg N ha-1 less than soil test N application of 134 kg ha-1, with similar yields. In Lubbock, 2001 lint yields were near the expected yield, and in three of four cases, N applications with in-season monitoring equaled soil test N applications of 101 kg ha-1. Nitrogen-15 recovery in plants ranged from 19 to 38%, and was affected by N management in two of three site-years, but not by irrigation. This study indicates that basing N applications on in-season monitoring can reduce N applications in low yielding seasons and match the yield potential in high-yielding seasons.
Abbreviations: ANA-MS, automated N analyzer-mass spectrometer ET, evapotranspiration GNDVI, green normalized difference vegetative index GVI, green vegetative index LEPA, low energy precision application irrigation LSD, least significant difference NDVI, normalized difference vegetative index NIR, near infrared RNDVI, red normalized difference vegetative index RVI, red vegetative index
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