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United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Series

2022

Remote sensing

Articles 1 - 2 of 2

Full-Text Articles in Agriculture

Advances In Field-Based High-Throughput Photosynthetic Phenotyping, Peng Fu, Christopher M. Montes, Matthew H. Siebers, Nuria Gomez-Casanovas, Justin M. Mcgrath, Elizabeth A. Ainsworth, Carl J. Bernacchi May 2022

Advances In Field-Based High-Throughput Photosynthetic Phenotyping, Peng Fu, Christopher M. Montes, Matthew H. Siebers, Nuria Gomez-Casanovas, Justin M. Mcgrath, Elizabeth A. Ainsworth, Carl J. Bernacchi

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Gas exchange techniques revolutionized plant research and advanced understanding, including associated fluxes and efficiencies, of photosynthesis, photorespiration, and respiration of plants from cellular to ecosystem scales. These techniques remain the gold standard for inferring photosynthetic rates and underlying physiology/biochemistry, although their utility for high-throughput phenotyping (HTP) of photosynthesis is limited both by the number of gas exchange systems available and the number of personnel available to operate the equipment. Remote sensing techniques have long been used to assess ecosystem productivity at coarse spatial and temporal resolutions, and advances in sensor technology coupled with advanced statistical techniques are expanding remote sensing …


Predicting Spatial-Temporal Patterns Of Diet Quality And Large Herbivore Performance Using Satellite Time Series, Sean P. Kearney, Lauren M. Porensky, David J. Augustine, Justin D. Derner, Feng Gao Jan 2022

Predicting Spatial-Temporal Patterns Of Diet Quality And Large Herbivore Performance Using Satellite Time Series, Sean P. Kearney, Lauren M. Porensky, David J. Augustine, Justin D. Derner, Feng Gao

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Adaptive management of large herbivores requires an understanding of how spatial-temporal fluctuations in forage biomass and quality influence animal performance. Advances in remote sensing have yielded information about the spatial-temporal dynamics of forage biomass, which in turn have informed rangeland management decisions such as stocking rate and paddock selection for free-ranging cattle. However, less is known about the spatial-temporal patterns of diet quality and their influence on large herbivore performance. This is due to infrequent concurrent ground observations of forage conditions with performance (e.g., mass gain), and previously limited satellite data at fine spatial and temporal scales. We combined multi-temporal …