scholarly journals Isolation of Pseudomonas stutzeri and its application in agricultural production in the Mekong Delta, Vietnam

2021 ◽  
Author(s):  
Cao Ngoc Diep ◽  
Ngo Thanh Phong
2016 ◽  
Vol Renewable Energy ◽  
pp. 80
Author(s):  
Tin, N.H. ◽  
Hue, B.T.B. ◽  
Thuy, T.L.K. ◽  
Phuong, T.L. ◽  
Duyen, C.M. ◽  
...  

2021 ◽  
Vol 15 (1) ◽  
pp. 75-81
Author(s):  
Sonthaya Sampaothong ◽  
Witsanu Attavanich

Introduction: The purpose of this research is to investigate the effect of agricultural production on economic output (agricultural production value) and the environment (carbon dioxide emissions) in Cambodia, Thailand, and Vietnam. These three countries, all located in the Mekong River region of Southeast Asia, are similar in terms of climate and agricultural potential, but the agricultural sector plays a different economic role in each of these three countries. While Thailand has had an export-oriented cash crop-based agricultural sector for decades, Cambodia and Vietnam continue to produce predominantly for domestic consumption. These differences have some implications for differences in economic productivity (output) and environmental effects (agricultural carbon emissions). Methods: This study investigates the effect of agricultural inputs, including the use of fertilisers, pesticide, agricultural land, irrigation, and agricultural employment, along with the rural population, GDP growth, exchange rates, and producer price indices, on agricultural output value and emissions using time series AR(1) analysis. Results: The results show different patterns for Thailand in comparison to Cambodia and Vietnam. Conclusion: This implies that no single agricultural policy can be used to promote agricultural growth in Mekong Delta countries.


2009 ◽  
Vol 100 (16) ◽  
pp. 3787-3791 ◽  
Author(s):  
Cao Ngoc Diep ◽  
Pham My Cam ◽  
Nguyen Hoai Vung ◽  
To Thi Lai ◽  
Nguyen Thi Xuan My

2020 ◽  
Vol 1 (41) ◽  
pp. 68-76
Author(s):  
Lam Hoang Nguyen ◽  
Long Kim Pham ◽  
Ai Ngoc Trinh ◽  
Bich Ngoc Tran ◽  
Tuu Thanh Nguyen ◽  
...  

Tra Vinh Province is an important agricultural production area of the Mekong Delta in Viet Nam, but its economic development is being heavily affected by climate change. In this study, a set of 14 quotas with the Delphi method were used to assess the climate change adaptability of 24 livelihood models (horticulture, animal husbandry, and aquaculture models) in Tra Vinh Province to find livelihood models with the greatest adaptability. The adaptability was calculated using relevant parameters including weighted scores, raw data points, and mean points of each model. Calculations show that two models have great adaptability (CN01 and TS14), twenty models have relatively pretty good adaptability (CN01, CN03, TS02, TS03, TS05, TS06, TS07,TS08, TS09, TS10, TS11, TS12, TS13, TS14, TS15, TS16, TT01, TT02, TT03, TT04 and TT05), two models have average adaptability (TS04 and TS01), and no models have low adaptability. These two successful models can be applied to farmers in Tra Vinh Province but attention needs to be paid to economic issues such as capital or market. These twenty good adaptive and two average adaptability models should be improved for future applications.


2019 ◽  
Author(s):  
Heiko Apel ◽  
Mai Khiem ◽  
Nguyen Hong Quan ◽  
To Quang Toan

Abstract. The Mekong Delta is the most important food production area in Vietnam. Salinity intrusion during the dry season poses a serious threat to agricultural production and local livelihoods. A seasonal forecast of salinity intrusion is required in order to mitigate the negative effects. This communication present a simple statistical seasonal forecast model able to predict the salinity intrusion up to 9 months ahead with high skill. The model can thus be used as a basis for timely adaptation and mitigation planning, which is urgently needed for the imminent severe salinity intrusion expected in spring 2020.


2020 ◽  
Vol 20 (6) ◽  
pp. 1609-1616
Author(s):  
Heiko Apel ◽  
Mai Khiem ◽  
Nguyen Hong Quan ◽  
To Quang Toan

Abstract. The Mekong Delta is the most important food production area in Vietnam, but salinity intrusion during the dry season poses a serious threat to agricultural production and livelihoods. A seasonal forecast of salinity intrusion is required in order to mitigate the negative effects. This communication presents a statistical seasonal forecast model based on logistic regression using either the ENSO34 index or streamflow as a predictor. The model is able to reliably predict the salinity intrusion up to 9 months ahead (receiver operating characteristic (ROC) scores: >0.8). The model can thus be used operationally as a basis for timely adaptation and mitigation planning.


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