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Terry A. Howell
Agricultural Research Service
273Publications
49H-index
8,559Citations
Publications 273
Newest
Published on Jan 1, 2019in Irrigation Science 2.44
Baozhen Hao4
Estimated H-index: 4
(A&M: Texas A&M University),
Baozhen Hao (Texas AgriLife Research)+ 8 AuthorsBrent W. Bean11
Estimated H-index: 11
Adoption of drought-tolerant (DT) hybrids is a viable strategy for maize production in drought-prone environments. We conducted four-year field studies (2011–2014) to investigate yield, crop evapotranspiration (ETc), and water-use efficiency (WUE) in one conventional (N58L) and one DT hybrid (N59B-DT) under three water regimes (I100, I75, and I50, where the subscripts were the percentage of irrigation applied relative to meeting full ETc) and three plant densities. At I100 and I75, N59B-DT did n...
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Published on Apr 1, 2018in Agricultural Water Management 3.54
Jourdan Bell2
Estimated H-index: 2
(A&M: Texas A&M University),
Robert C. Schwartz18
Estimated H-index: 18
(ARS: Agricultural Research Service)
+ 2 AuthorsCristine L. S. Morgan21
Estimated H-index: 21
(A&M: Texas A&M University)
Development of sustainable and efficient irrigation strategies is a priority for producers faced with water shortages. A promising management strategy for improving water use efficiency (WUE) is managed deficit irrigation (MDI), which attempts to optimize yield and WUE by synchronizing crop water use with the crop’s reproductive stages. In comparison, deficit irrigation (DI) is applied at a fraction of the full (FI) irrigation requirement. Soil water use and grain yield of grain sorghum [Sorghum...
2 Citations Source Cite
Published on Jan 1, 2018in Transactions of the ASABE 1.15
Ali Saleh15
Estimated H-index: 15
,
Rewati Niraula8
Estimated H-index: 8
+ 3 AuthorsTerry A. Howell49
Estimated H-index: 49
1 Citations Source Cite
Published on Jan 1, 2018in Transactions of the ASABE 1.15
Huihui Zhang6
Estimated H-index: 6
,
Huihui Zhang2
Estimated H-index: 2
+ 6 AuthorsTerry A. Howell49
Estimated H-index: 49
2 Citations Source Cite
Published on Jul 1, 2017in Meteorological Applications 1.71
Eyüp Selim Köksal6
Estimated H-index: 6
(OMU: Ondokuz Mayıs University),
Bilal Cemek10
Estimated H-index: 10
(OMU: Ondokuz Mayıs University)
+ 2 AuthorsTerry A. Howell49
Estimated H-index: 49
(ARS: Agricultural Research Service)
Remote sensing based evapotranspiration (ET) mapping has become an important tool for water resources management at a regional scale. Accurate hourly climatic data and alfalfa-reference ET (ETr) are crucial inputs for successfully implementing remote sensing based ET models such as Mapping Evapotranspiration at High Resolution with Internalized Calibration (METRIC) and Surface Energy Balance Algorithm for Land (SEBAL). In Turkey, hourly climatic data may not be available at all locations, either...
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Published on Jan 1, 2017in Agronomy Journal 1.80
Paul D. Colaizzi23
Estimated H-index: 23
(ARS: Agricultural Research Service),
Steven R. Evett26
Estimated H-index: 26
(ARS: Agricultural Research Service)
+ 3 AuthorsKaren S. Copeland12
Estimated H-index: 12
(ARS: Agricultural Research Service)
4 Citations Source Cite
Published on Dec 1, 2016in Physics and Chemistry of The Earth 1.97
Hongbo Su13
Estimated H-index: 13
(FAU: Florida Atlantic University),
Yongmin Yang4
Estimated H-index: 4
+ 6 AuthorsJinyan Zhan13
Estimated H-index: 13
(BNU: Beijing Normal University)
Abstract Water scarcity is one of the main factors limiting agricultural development in arid or semi-arid areas. Accurate Evapotranspiration (ET) observations and estimations are crucial in water cycle studies to estimate water losses from the terrestrial surfaces to the atmosphere to close the regional water budget. The eddy covariance (EC) method is an important technique measure ET and other land surface energy fluxes. However, the underestimation of energy fluxes and the problem of EC energy...
1 Citations Source Cite
Published on Nov 1, 2016in Agricultural Water Management 3.54
Saseendran S. Anapalli5
Estimated H-index: 5
(ARS: Agricultural Research Service),
Lajpat R. Ahuja32
Estimated H-index: 32
(ARS: Agricultural Research Service)
+ 4 AuthorsTerry A. Howell49
Estimated H-index: 49
(ARS: Agricultural Research Service)
Accurate quantification of crop evapotranspiration (ET) is critical to optimizing irrigation water productivity, especially, in the semiarid regions of the world where limited rainfall is supplemented by irrigation for crop production. In this context, cropping system models are potential tools for predicting ET or crop water requirements in agriculture across soils and climates and assist in developing decision support tools for irrigation. The objective of this study was to evaluate the accura...
5 Citations Source Cite
Published on Apr 1, 2016in Journal of The American Water Resources Association 2.46
Gary W. Marek8
Estimated H-index: 8
(USDA: United States Department of Agriculture),
Prasanna H. Gowda25
Estimated H-index: 25
(USDA: United States Department of Agriculture)
+ 5 AuthorsRaghavan Srinivasan52
Estimated H-index: 52
(A&M: Texas A&M University)
The Soil and Water Assessment Tool (SWAT) is one of the most widely used watershed models for simulating hydrology in response to agricultural management practices. However, limited studies have been performed to evaluate the SWAT model's ability to estimate daily and monthly evapotranspiration (ET) in semiarid regions. ET values were simulated using ArcSWAT 2012 for a lysimeter field managed under dryland conditions at the USDA-ARS Conservation and Production Research Laboratory at Bushland, Te...
11 Citations Source Cite
Published on Feb 20, 2016in Journal of Remote Sensing & GIS
Prasanna H. Gowda25
Estimated H-index: 25
,
Thomas Oommen10
Estimated H-index: 10
+ 3 AuthorsWagle P1
Estimated H-index: 1
Mapping and monitoring leaf area index (LAI) is critical to model surface energy balance, evapotranspiration, and vegetation productivity. Remote sensing helps in rapid collection of LAI on individual fields over large areas, in a time and cost-effective manner using empirical regression between LAI and spectral vegetation indices (SVI). However, these relationships may be ineffective when sun-surface sensor geometry, background reflectance and atmosphereinduced variations on canopy reflectance ...
1 Citations Source Cite
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