scholarly journals Limiting-stress-elimination hypothesis: approach to increase savanna cowpea productivity by stress reduction

2019 ◽  
Author(s):  
Acheampong Atta-Boateng ◽  
Graeme P. Berlyn

AbstractWe propose and test the Limiting-Stress-Elimination Hypothesis (LSEH), as a decision axiom to guide in determining the optimal intervention strategy towards yield allocation in a savanna legume. We considered osmotic stress and soil nitrogen (N) limitation, which both characterize Guinea savanna agro-ecozone. We hypothesized that biomass allocation will increase when the limiting stress is eliminated at least until the next limiting stress impacts yield. We assessed responses of Vigna unguiculata (L.) Walp (cowpea) to osmotic stress treatments (non-hormonal biostimulant and exogenous metabolite) and N input by leaf level physiology, N-fixing capacity and biomass. The relative increase in biomass (%), and pod yields reveal that osmotic stress (45%) more than nitrogen (13%) is limiting to cowpea growth under Guinea savanna conditions, although N fertilization increased nodulation and maximized PSII quantum yield. In the Sprengel-Liebig’s decrement from the maximum concept, the decrement from the maximum for each stressor must be minimized in order to produce the absolute maximum production. However, this may not be economically feasible in many situations. Conversely, LSEH demonstrates that significant productivity is attainable by eliminating a relatively more limiting stress, osmotic stress, regardless of the limitation and natural demand for the relatively less limiting N in leguminous cowpea in the savanna.

2021 ◽  
Vol 12 ◽  
Author(s):  
Acheampong Atta-Boateng ◽  
Graeme P. Berlyn

An alternative decision axiom to guide in determining the optimal intervention strategy to maximize cowpea production is proposed. According to the decrement from the maximum concept of Mitscherlich, the decrement from the maximum for each stressor must be minimized to produce the absolute maximum production. In crop production, this means all deficient nutrients must be supplemented to ensure maximum yield and laid the foundation in fertilizer formulation. However, its implementation is not economically feasible in many situations, particularly where multiple environmental factors impact crop productivity as in the case of low resource conditions. We propose and test the hypothesis that yield allocation will increase when the most limiting stressor among prevailing stressors is eliminated at least until the next limiting stressor impacts productivity. We selected drought limiting savanna conditions and cowpea (Vigna unguiculata), adapted to nitrogen dependence. To determine the limiting condition, we measured the response of cowpea to D-sorbitol, nitrogen, and non-hormonal biostimulant (nhB) treatments. The nhB treatment increased total biomass by 45% compared to nitrogen, 13%, and D-sorbitol, 17%, suggesting osmotic stress is more limiting in the observed savanna conditions. The effect of the biostimulant is due to antioxidants and key amino acids that stimulate metabolism and stress resistance. Where nitrogen becomes the next constraining factor, biostimulants can contribute organic nitrogen. The study supports the use of biostimulants as candidate intervention under conditions where crop productivity is limited by multiple or alternating constraints during crop growth.


2016 ◽  
Vol 118 (4) ◽  
pp. 809-823 ◽  
Author(s):  
Esther van Asselt ◽  
Sjoukje Osinga ◽  
Harry Bremmers

Purpose – The purpose of this paper is to simulate compliance behaviour of entrepreneurs in the Netherlands based on the Table of Eleven: 11 factors determining compliance (based on economic, cognitive, social and institutional factors). Design/methodology/approach – An Agent-Based Model (ABM) was developed that could incorporate both individual and group behaviour and allowed to evaluate the effect of various intervention strategies. For this purpose, a case study on the compliance of pig farmers with antibiotics legislation in the Netherlands was used. Findings – The effect of social factors (acceptance of legislation and social influence) on compliance levels was tested as well as the number of inspectors. This showed that the model can help to choose the most optimal intervention strategy depending on the input parameters. Research limitations/implications – Further expansion of the model may be necessary, e.g. including economic factors, in order to reflect real-life situations more closely. Practical implications – The model can be used by inspection services to effectively implement their control programme. Originality/value – The developed ABM is a first attempt to simulate compliance behaviour and as such contributes to the current limited knowledge on effective intervention strategies.


2018 ◽  
Vol 150 ◽  
pp. 69-78 ◽  
Author(s):  
Qingxue Guo ◽  
Haifeng Song ◽  
Jieyu Kang ◽  
Helena Korpelainen ◽  
Chunyang Li

2021 ◽  
pp. 97-108
Author(s):  
Moses Samuel BASSEY ◽  
Joy Ekaette ETOPOBONG ◽  
Bigun Ishaku PONMAN ◽  
Sheriff Adam BADOM ◽  
Aliyu USMAN ◽  
...  

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