Jeffrey C. Silvertooth
University of Arizona
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Jeffrey C. Silvertooth.
Soil Science | 1994
Bryan L. Unruh; Jeffrey C. Silvertooth; David M. Hendricks
There have been several recent reports of cotton lint yield response to potassium (K) fertilization from areas east and west of Arizona in the Cotton Belt. However, there is no documentation of the K status in southern Arizona within these Sonoran Desert soils. The physical, chemical, and mineralogical properties affecting the K status of 10 soils (six Entisols, three Aridisols, and one Mollisol) common to cultivated soils of the Sonoran Desert were studied to determine which soils might respond to K fertilization. The dominant clay minerals included mica, vermiculite, smectite, and palygorskite. All the soils contained some vermiculite but, none contained more than 5% vermiculite in the clay fraction
2004, Ottawa, Canada August 1 - 4, 2004 | 2004
Douglas J. Hunsaker; Paul J. Pinter; Edward M. Barnes; Jeffrey C. Silvertooth; James R. Hagler
Techniques to more accurately quantify crop evapotranspiration (ETc) are needed for determining crop water needs and appropriate irrigation scheduling. In this study, remotely sensed observations of the normalized difference vegetation index (NDVI) were used to estimate cotton basal crop coefficients (Kcb), which were then applied within the dual crop coefficient procedures of the Food and Agricultural Organization (FAO), Paper 56 (FAO-56) to calculate daily ETc. An experiment in central Arizona during 2003 compared irrigation scheduling using a remotely sensed Kcb technique (NDVI treatment) with the FAO-56 Kcb curve (FAO treatment). The FAO curve was locally developed for optimum crop conditions and standard cotton density. Final lint yield means were not significantly different between the two irrigation methods, which included sub-treatments of two levels of nitrogen and three plant densities. However, NDVI attained higher yields under low N input, whereas FAO generally had higher yields under high N. The ETc estimated using the NDVI-Kcb method was in closer agreement with measured cumulative ETc than the FAO Kcb. For high N treatments, the mean absolute differences between measured and estimated cumulative ETc during the growing season for typical, dense, and sparse populations (10, 20, and 5 plants m-2, respectively) were 4, 17, and 4 mm, respectively, for NDVI, whereas they were10, 32, and 13 mm, respectively, for FAO. Although additional research is needed for improving our remote sensing technique, it potentially offers an improvement over the FAO Kcb curve for quantifying actual ETc.
Communications in Soil Science and Plant Analysis | 2012
Esther Lynn Babcock; Jeffrey C. Silvertooth
In a field study of irrigated chile (Capsicum annum L.) production in southeastern Arizona and southwestern New Mexico from 2008 through 2009, soil and tissue test samples were analyzed for a spectrum of plant nutrients at 16 different sites, including nitrogen (N), phosphorus (P), potassium (K), zinc (Zn), iron (Fe), and boron (B). The objectives were to evaluate soil and tissue nutrient testing procedures and to establish basic soil and plant tissue-testing guidelines and recommendations with respect to yield potentials. Soil samples were collected before planting. Plant tissue samples from plots at all sites were collected at the following four stages of growth: first bloom (FB), early bloom (EB), peak bloom (PB), and physiological maturity (PM). Fertilizer and nutrient inputs were monitored, managed, and recorded within current extension guidelines for irrigated chiles. Results for soil and tissue analyses were compared to yield results. The results provide estimates for baselines, which can be tested through subsequent calibration experiments to establish recommendations for critical soil- and tissue-test values. Absolute minimum soil-test nutrient values were identified as 10 parts per million (ppm) P, 110 ppm K, 0.3 ppm Zn, 2.0 ppm Fe, and 0.25 ppm B. Absolute minimum FB leaf tissue test values were 0.2% P, 4.5% K, 10 ppm Zn, 80 ppm Fe, and 30 ppm B. Complete data sets for leaf and petiole tissue-test values for all stages of growth were collected. These soil-test and plant nutrient values will be evaluated in subsequent experiments to better define fertilizer nutrient inputs and to gain better nutrient-management efficiencies in irrigated chile production systems.
Communications in Soil Science and Plant Analysis | 2008
E. R. Norton; Jeffrey C. Silvertooth
A laboratory study was initiated to investigate the effects of temperature (25, 30, 35, and 40 °C) and water quality on the loss of fertilizer nitrogen (N) through volatilization out of irrigation waters collected from 10 different Arizona sources. A 300‐mL volume of each water source was placed in 450‐mL beakers open to the atmosphere in a constant‐temperature water bath with 10 mg of analytical‐grade ammonium sulfate [(NH4)2SO4] dissolved into each sample. Small aliquots were drawn at specific time intervals over a 24‐h period and then analyzed for ammonium (NH4 +)‐N and nitrate (NO3 −)‐N concentrations. Results showed potential losses from volatilization to be highly temperature dependent. Total losses (after 24 h) ranged from 30–48% at 25 °C to more than 90% at 40 °C. Volatilization loss of fertilizer N from irrigation waters was found to be significant and should be considered when making decisions regarding fertilizer N applications for crop production in Arizona particularly when using ammonia‐based fertilizers.
Soil Science Society of America Journal | 1988
William P. Inskeep; Jeffrey C. Silvertooth
Agronomy Journal | 1996
Bryan L. Unruh; Jeffrey C. Silvertooth
Geochimica et Cosmochimica Acta | 1988
William P. Inskeep; Jeffrey C. Silvertooth
Soil Science Society of America Journal | 1992
Jeffrey C. Silvertooth; J. E. Malcuit; Jack Watson; T. A. Doerge
Journal of Production Agriculture | 1997
Bryan L. Unruh; Jeffrey C. Silvertooth
Agronomy Journal | 1996
Bryan L. Unruh; Jeffrey C. Silvertooth