scholarly journals Developing sensor‐based irrigation scheduling that maximizes soybean grain yield, irrigation water use efficiency, and returns above irrigation costs

cftm ◽  
2020 ◽  
Vol 6 (1) ◽  
Author(s):  
C. W. Wood ◽  
L. J. Krutz ◽  
W. B. Henry ◽  
T. Irby ◽  
J. M. Orlowski ◽  
...  
2017 ◽  
Vol 47 (1) ◽  
pp. 118-126
Author(s):  
Gisele Carneiro da Silva Teixeira ◽  
Luís Fernando Stone ◽  
Alberto Baêta dos Santos ◽  
Silvando Carlos da Silva ◽  
Alexandre Bryan Heinemann

ABSTRACT One of the great challenges in the use of irrigation, from an economic and environmental point of view, is to optimize the amount of water used in the production system. This study aimed at determining the viability of early sowing in the fall/winter harvest season, as well as its effects on the irrigation water use efficiency and yield of common bean. A crop model named CSM-CROPGRO-Dry bean, which simulates growth, development and yield of common bean as a function of environmental conditions, crop management and cultivar-specific parameters, was used to simulate the effects of 12 sowing dates on the irrigation water use efficiency and yield of the Pérola and BRS Radiante common bean cultivars. The simulated dates were as it follows: March 1st, 10 and 20 and April 1st, 10 and 20 (considered early); and May 1st, 10 and 20 and June 1st, 10 and 20 (considered traditional). The early sowing results in greater water economy than the traditional sowing season. Sowing in March provides a higher grain yield for the BRS Radiante cultivar and is similar to the traditional sowing of the Pérola cultivar. Concerning grain yield and irrigation water use efficiency, it is feasible to sow both cultivars in March.


Agronomy ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 228
Author(s):  
Ikram Ullah ◽  
Hanping Mao ◽  
Ghulam Rasool ◽  
Hongyan Gao ◽  
Qaiser Javed ◽  
...  

This study was conducted to investigate the effects of various irrigation water (W) and nitrogen (N) levels on growth, root-shoot morphology, yield, and irrigation water use efficiency of greenhouse tomatoes in spring–summer and fall–winter. The experiment consisted of three irrigation water levels (W: 100% of crop evapotranspiration (ETc), 80%, and 60% of full irrigation) and three N application levels (N: 100%, 75%, and 50% of the standard nitrogen concentration in Hoagland’s solution treatments equivalent to 15, 11.25, 7.5 mM). All the growth parameters of tomato significantly decreased (p < 0.05) with the decrease in the amount of irrigation and nitrogen application. Results depicted that a slight decrease in irrigation and an increase in N supply improved average root diameter, total root length, and root surface area, while the interaction was observed non-significant at average diameter of roots. Compared to the control, W80 N100 was statistically non-significant in photosynthesis and stomatal conductance. The W80 N100 resulted in a yield decrease of 2.90% and 8.75% but increased irrigation water use efficiency (IWUE) by 21.40% and 14.06%. Among interactions, the reduction in a single factor at W80 N100 and W100 N75 compensated the growth and yield. Hence, W80 N100 was found to be optimal regarding yield and IWUE, with 80% of irrigation water and 15 mM of N fertilization for soilless tomato production in greenhouses.


2019 ◽  
Vol 20 (1) ◽  
pp. 83-94 ◽  
Author(s):  
Liu Dong ◽  
Zhou Lihui ◽  
Li Heng ◽  
Fu Qiang ◽  
Li Mo ◽  
...  

Abstract The evaluation of irrigation water efficiency plays an important role in the efficient use of agricultural water resources and the sustainable development of agriculture. In order to make the evaluation of irrigation water use efficiency indicators more comprehensive and scientific, this paper constructs a new optimal model of evaluation indicators. By combining the Driver-Pressure-State-Impact-Response (DPSIR) model with the Information Significance Difference (ISD) evaluation indicators model, a novel DPSIR-ISD evaluation indicators combination model was constructed. Ten riverside irrigation areas in the Sanjiang Plain of northeastern China were selected for analysis. The results show that the DPSIR-ISD model was used to reduce the number of indicators from 44 to 14; these 14 indicators reflected 91.88% of the original information. The DPSIR-ISD method proposed in this paper takes into account the completeness and simplicity of the indicators system, and is more in line with the actual situation in the field. These results can provide a simpler and more convenient system for optimizing indicators for the study of evaluation indicators used to analyze irrigation water use efficiency.


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