OF THESIS EFFECT OF MANAGEMENT DECISIONS ON CORN YIELD PRODUCTIVITY AND STABILITY IN ENVIRONMENTS... more OF THESIS EFFECT OF MANAGEMENT DECISIONS ON CORN YIELD PRODUCTIVITY AND STABILITY IN ENVIRONMENTS WITH CONTRASTING WATER AVAILABILITY Corn (Zea Mays L.) is a grain crop with large productivity, but also elevated evapotranspiration demand, making it highly susceptible to periods of water stress occurring during critical reproductive stages. Environmental conditions in Kentucky make it possible to grow corn under rainfed conditions, but the crop is still likely to experience water stress during some times of the growing season depending on the year and location. There is limited information on the size of the yield gap due to water stress in Kentucky, and the timing and intensity of water deficit. In addition, evaluating the interactive effects of hybrid maturity and planting Population may allow management recommendations that increase corn yield productivity and stability for irrigated and rainfed conditions in Kentucky. This thesis is structured in three chapters that analyze diffe...
Abstract Corn (Zea mays L.) hybrid maturity selection can help maximize productivity, yield stabi... more Abstract Corn (Zea mays L.) hybrid maturity selection can help maximize productivity, yield stability, and optimize the use of available resources such as water, solar radiation, and nutrients. We explored yield differences by hybrid maturity with long term data from corn hybrid performance tests conducted between 2005 and 2017 in three U.S. states with variable area under irrigation: Arkansas (AR; 50 environments, 100% irrigated), Nebraska (NE; 22 environments, 59% irrigated), and Kentucky (KY; 54 environments, all rainfed). Stability-analysis techniques and probability functions were used to test the effect of Corn Relative Maturity (CRM) on yield and yield stability. Average yields increased per unit increase in CRM group by 51 kg ha−1 CRM−1 in AR and 122 kg ha−1 CRM−1 in NE. Thus, hybrids maturity recommendations to maximize yield were the latest CRM groups included in Corn Performance Tests in AR and NE (CRM 118−120 and 115−118, respectively). In contrast, the yield response to CRM group showed a quadratic relationship in KY, and selecting CRM groups later than 109–114 would reduce yield stability and likely delay harvest without providing a significant yield advantage. Full-season hybrids in AR and NE also showed the greatest responsiveness to environments of increasing average productivity, unlike in KY where all CRM groups showed similar responses. Different results observed across the three states may be partially attributed to different percentage of irrigated sites, with the implication that optimum hybrid maturity recommendations may need to be redefined depending on water availability.
ADCAIJ: ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL, 2018
Two problems related to complex network systems are explained in this paper. These two main probl... more Two problems related to complex network systems are explained in this paper. These two main problems are: consensus and network synchronization. Both have been studied separately in previous years but only a few people have studied these two problems together as one. Our intention in this article is to show how these two problems might ‘work’ together by simulating a network system with routers and agents, we will try to show how agents must negotiate and communicate in order to achieve their aim.
OF THESIS EFFECT OF MANAGEMENT DECISIONS ON CORN YIELD PRODUCTIVITY AND STABILITY IN ENVIRONMENTS... more OF THESIS EFFECT OF MANAGEMENT DECISIONS ON CORN YIELD PRODUCTIVITY AND STABILITY IN ENVIRONMENTS WITH CONTRASTING WATER AVAILABILITY Corn (Zea Mays L.) is a grain crop with large productivity, but also elevated evapotranspiration demand, making it highly susceptible to periods of water stress occurring during critical reproductive stages. Environmental conditions in Kentucky make it possible to grow corn under rainfed conditions, but the crop is still likely to experience water stress during some times of the growing season depending on the year and location. There is limited information on the size of the yield gap due to water stress in Kentucky, and the timing and intensity of water deficit. In addition, evaluating the interactive effects of hybrid maturity and planting Population may allow management recommendations that increase corn yield productivity and stability for irrigated and rainfed conditions in Kentucky. This thesis is structured in three chapters that analyze diffe...
Abstract Corn (Zea mays L.) hybrid maturity selection can help maximize productivity, yield stabi... more Abstract Corn (Zea mays L.) hybrid maturity selection can help maximize productivity, yield stability, and optimize the use of available resources such as water, solar radiation, and nutrients. We explored yield differences by hybrid maturity with long term data from corn hybrid performance tests conducted between 2005 and 2017 in three U.S. states with variable area under irrigation: Arkansas (AR; 50 environments, 100% irrigated), Nebraska (NE; 22 environments, 59% irrigated), and Kentucky (KY; 54 environments, all rainfed). Stability-analysis techniques and probability functions were used to test the effect of Corn Relative Maturity (CRM) on yield and yield stability. Average yields increased per unit increase in CRM group by 51 kg ha−1 CRM−1 in AR and 122 kg ha−1 CRM−1 in NE. Thus, hybrids maturity recommendations to maximize yield were the latest CRM groups included in Corn Performance Tests in AR and NE (CRM 118−120 and 115−118, respectively). In contrast, the yield response to CRM group showed a quadratic relationship in KY, and selecting CRM groups later than 109–114 would reduce yield stability and likely delay harvest without providing a significant yield advantage. Full-season hybrids in AR and NE also showed the greatest responsiveness to environments of increasing average productivity, unlike in KY where all CRM groups showed similar responses. Different results observed across the three states may be partially attributed to different percentage of irrigated sites, with the implication that optimum hybrid maturity recommendations may need to be redefined depending on water availability.
ADCAIJ: ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL, 2018
Two problems related to complex network systems are explained in this paper. These two main probl... more Two problems related to complex network systems are explained in this paper. These two main problems are: consensus and network synchronization. Both have been studied separately in previous years but only a few people have studied these two problems together as one. Our intention in this article is to show how these two problems might ‘work’ together by simulating a network system with routers and agents, we will try to show how agents must negotiate and communicate in order to achieve their aim.
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