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Eduardo Segarra

Researcher at Texas Tech University

Publications -  122
Citations -  1876

Eduardo Segarra is an academic researcher from Texas Tech University. The author has contributed to research in topics: Precision agriculture & Irrigation. The author has an hindex of 23, co-authored 122 publications receiving 1752 citations. Previous affiliations of Eduardo Segarra include Virginia Tech & Texas A&M University System.

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Integrated Irrigated Crop-Livestock Systems in Dry Climates

TL;DR: In this paper, the authors compared the water efficiency of a cotton (Gossypium hirsutum L.) monoculture and an integrated cotton-forage-beef cattle system in the Texas High Plains.
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Integrating Cotton and Beef Production to Reduce Water Withdrawal from the Ogallala Aquifer in the Southern High Plains

TL;DR: In this article, the authors compared water use, productivity, and economics of a cotton monoculture with terminated wheat (Triticum aestivum L) and an integrated three-paddock system that included cotton in a twopaddock rotation with grazed wheat and rye.
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Multispectral Reflectance of Cotton Related to Plant Growth, Soil Water and Texture, and Site Elevation

TL;DR: In this article, a 2-yr (1998-1999) study was conducted on the South Texas High Plains to investigate cotton spectral and agronomic responses to irrigation and N fertilization and to determine the simple and cross correlation among cotton reflectance, plant growth, N uptake, lint yield, site elevation (SE), and soil water and texture.
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In-Season Nitrogen Status Sensing in Irrigated Cotton

TL;DR: In this paper, the spectral reflectance and chlorophyll meter measurements correlate with cotton leaf N and biomass, and the results demonstrate the effectiveness of GVI, GNDVI, and CPM readings in assessing leaf N, and RVI and RNDVI in assessing cotton biomass.
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Spatial and Temporal Variability of Corn Growth and Grain Yield

TL;DR: Differences in NAR were evident before the 12-leaf stage, making NAR a potentially useful measurement for early in-season management decisions, and biomass measurements, for which differences were observed after the 12th leaf stage, may be used to formulate decisions for both in- season and the following season's management.