scholarly journals Dynamic Optimization of Nitrogen in Plateau Cotton Yield Functions with Nitrogen Carryover Considerations

2019 ◽  
Vol 51 (3) ◽  
pp. 385-401 ◽  
Author(s):  
Chandra Dhakal ◽  
Kelly Lange ◽  
Megha N. Parajulee ◽  
Eduardo Segarra

AbstractThis study utilizes a dynamic programming decision model, considering an intertemporal nitrogen carryover function, combined with both linear stochastic and deterministic plateau response functions to evaluate optimal nitrogen fertilizer decision rules and net present values (NPVs) in Texas High Plains cotton production. Nitrogen recommendations and NPVs are influenced by response function choice and nitrogen-to-cotton price ratios. Results indicate the stochastic plateau function better describes the data; the optimum nitrogen recommendation is to apply approximately 40 lb. of nitrogen for each bale of cotton production when considering nitrogen carryover information.

2016 ◽  
Vol 164 ◽  
pp. 317-330 ◽  
Author(s):  
Pradip Adhikari ◽  
Srinivasulu Ale ◽  
James P. Bordovsky ◽  
Kelly R. Thorp ◽  
Naga R. Modala ◽  
...  

2019 ◽  
Vol 111 (5) ◽  
pp. 2218-2225 ◽  
Author(s):  
J.A. Burke ◽  
K.L. Lewis ◽  
G.L. Ritchie ◽  
J. Moore‐Kucera ◽  
P.B. DeLaune ◽  
...  

2005 ◽  
Vol 40 (2) ◽  
pp. 143-148 ◽  
Author(s):  
J. Scott Armstrong ◽  
Leonardo D. A. Camelo ◽  
Harlan G. Thorvilson ◽  
Leslie D. Thompson

Feeding injury and abscission of 6th, 9th and 11th node, first-position cotton squares exposed to Lygus hesperus Knight and L. elisus Van Duzee for 24 h were investigated in field and laboratory studies in 2001 and 2002. Square abscission was not significantly different for L. elisus or L. hesperus in six separate field trials over 2 yrs; however, the control was significantly lower in abscission in two of the six trials. Final square abscission averaged across the 2 yrs was 82.5% for the control, 90.0% for L. hesperus, and 86.3% for L. elisus. Square injury, as measured by estimating the surface area affected by Lygus feeding, was significantly higher for L. elisus compared with L. hesperus in three of the six of trials (6th node in 2002, 11th node for 2001 and 2002) indicating that, in some cases, L. elisus damage is higher than L. hesperus. However, when seed-cotton yield was obtained from squares that did not abcise, there was no significant difference for the control or the two Lygus species. This result was similar to other published studies of infesting cotton with L. lineolaris (Palisot de Beauvois) where yield compensation negated any differences in yield when infested cotton was compared to the control. Lygus elisus, a little known and often misidentified plant bug pest of Texas High Plains cotton, should be considered as damaging as L. hesperus.


2002 ◽  
Vol 34 (3) ◽  
pp. 561-583 ◽  
Author(s):  
Megan L. Britt ◽  
Octavio A. Ramirez ◽  
Carlos E. Carpio

Production function models for cotton lint yields, seed yields, turnout, and lint quality characteristics are developed for the Texas High Plains. They are used to evaluate the impacts of quality considerations and of climate/weather information on the management decisions and on the profitability and risk of irrigated cotton production systems. It is concluded that both quality considerations and improved climatic/weather information could have substantial effects on expected profitability and risk. These effects mainly occur because of changes in optimal variety selection and irrigation water use levels. Quality considerations in particular result in significantly lower irrigation water use levels regardless of the climate/weather information assumption, which has important scarce-resource use implications for the Texas High Plains.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sushil K. Himanshu ◽  
Srinivasulu Ale ◽  
James P. Bordovsky ◽  
JungJin Kim ◽  
Sayantan Samanta ◽  
...  

AbstractDetermining optimum irrigation termination periods for cotton (Gossypium hirsutum L.) is crucial for efficient utilization and conservation of finite groundwater resources of the Ogallala Aquifer in the Texas High Plains (THP) region. The goal of this study was to suggest optimum irrigation termination periods for different Evapotranspiration (ET) replacement-based irrigation strategies to optimize cotton yield and irrigation water use efficiency (IWUE) using the CROPGRO-Cotton model. We re-evaluated a previously evaluated CROPGRO-Cotton model using updated yield and in-season physiological data from 2017 to 2019 growing seasons from an IWUE experiment at Halfway, TX. The re-evaluated model was then used to study the effects of combinations of irrigation termination periods (between August 15 and September 30) and deficit/excess irrigation strategies (55%-115% ET-replacement) under dry, normal and wet years using weather data from 1978 to 2019. The 85% ET-replacement strategy was found ideal for optimizing irrigation water use and cotton yield, and the optimum irrigation termination period for this strategy was found to be the first week of September during dry and normal years, and the last week of August during wet years. Irrigation termination periods suggested in this study are useful for optimizing cotton production and IWUE under different levels of irrigation water availability.


1985 ◽  
Vol 17 (2) ◽  
pp. 117-126 ◽  
Author(s):  
Sharif M. Masud ◽  
Ronald D. Lacewell ◽  
John R. Stoll ◽  
J. Knox Walker ◽  
James F. Leser ◽  
...  

AbstractThis study evaluated implications of increased bollworm problems in a 20-county area of the Texas High Plains relative to cotton yields and economic impact. Results did not indicate a serious effect of bollworms upon lint yield when insecticides were used for control. However, estimated annual reduction in farmer profit due to the bollworm for 1979-81 was over $30 million. Yields were estimated to decline about 300,000 bales without insecticide use and about 30,000 bales with insecticide use. This decline suggests potentially serious implications for the comparative economic position of cotton in this region if insecticide resistance were to develop among insect pests.


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