Current Issue : January-March Volume : 2024 Issue Number : 1 Articles : 5 Articles
Teff is an important food crop for the majority of Ethiopian; however, its productivity is constrained by lack of improved varieties and low soil fertility. Thus, field experiments were conducted in 2019/20 and 2020/21 main cropping seasons at Yaya Gulale district on the farm and at Adama district on research station, respectively to assess the response of teff varieties to NPSZnB-blended fertilizer. Three teff varieties (Dagim, Kora, Nigus) and five rates (0, 50, 100, 150, and 200 kg ha−1) of blended NPSZnB fertilizer were evaluated on both sites. The treatments were laid out in a randomized complete block design of factorial arrangement with three replications at both locations. The highest biomass (7,639 kg ha−1), grain (1,944 kg ha−1), and straw (5,696 kg ha−1) yields were recorded from variety Kora without statistical difference from variety Dagim as compared to variety Nigus on-station. More yields were also recorded from the station compared to on-farm. Highest biomass (7,341 and 8,868), grain (1,767 and 2,477), and straw (5,507 and 6,391 kg ha−1) yields were recorded from on-farm and on-station sites, respectively, at 200 kg ha−1 NPSZnB. Also, the highest mean lodging index (82.56% and 63.89%) was observed on plots supplied with 200 kg ha−1 NPSB on-farm and onstation, respectively. In addition, the partial economic analysis showed that Dagim variety at 200 and 150 kg ha−1 NPSZnB generated better net benefits (533,745 and 106,204 Birr ha−1) with higher marginal rate of returns (6,771.9% and 4,621.9%) onfarm and on-station, respectively. Therefore, it was concluded that the teff variety Dagim grown with 200 kg ha−1 at Yaya Gulale district (on-farm) and with 150 kg ha−1 NPSZnB applications at Adama district (on-station) is promising treatments for production and economic advantages of teff in Ethiopia....
Water is a crucial resource for agricultural development in the Yellow River Basin. However, the effects of water shortages on the region’s agricultural development are becoming increasingly evident, creating a need to examine the relationship between agricultural water use (AWU) and the agricultural economy. This study uses panel vector autoregression to analyze the relationship between AWU and the agricultural economy in the Inner Mongolia section of the Yellow River Basin from 1998 to 2018. The results indicate the following: (1) AWU in the Inner Mongolia section of the Yellow River Basin significantly declined during the study period, showing clear differences in the AWU’s effectiveness among regions; (2) agriculture in the region stabilized after significant growth, and the share of primary-sector industries in the national economy also stabilized after significant decline; (3) in the long run, AWU and the agricultural economy become cointegrated with the AWU Granger-causing agricultural economy. By deepening our understanding of agricultural water demand in the Yellow River Basin, these findings provide theoretical justification for establishing water-conserving irrigation systems and making sustainable use of water resources....
In this article, for the first time applied in our republic, the results of the effect of nano-micro fertilizers on cotton plant are given. The results of the study of the effect of microelements on the leaf area, plant height formation and yield of cotton in the conditions of the gray soil of the Zarafshan Valley are presented. Currently, the demand for ecological and safe food is increasing not only in Uzbekistan, but also in the whole world. The solution to this problem is effective use of land and increasing the amount of macrofertilizers, and after increasing the yield per unit of area, the micronutrients in the soil will decrease more, and less attention was paid to fertilizing with trace elements. This will affect the quality of the product, as well as the decrease in productivity and salinity of the land. Therefore, it is necessary to develop environmentally friendly and more economical approaches that do not harm the environment. The best solution for this is to reduce micronutrient deficiency in combination with agrotechnical methods. One of the urgent issues is the development of the technology of applying macro- and micro-fertilizers in the appropriate proportions, convenient terms, norms and methods for the cultivation of high-quality cotton crops under the soil conditions of our republic. The optimal rate of using microelements had a positive effect on the leaf area and dry mass of cotton plants. The highest result was observed when N200P140K100 + KUPRUMHITE + NANOSEREBRO kg/ha was applied with mineral fertilizer....
This study aimed to investigate how the combination of texture information and spectral index affects the accuracy of the soil salinity inversion model. Taking the Bianwan Farm in Jiuquan City, Gansu Province, China as the research area, the multi-spectral data and soil salinity data at 0–15 cm, 15–30 cm and 30–50 cm depths in the sampling area under alfalfa coverage were collected, and spectral reflectance and texture features were obtained from a multispectral image. Moreover, the red-edge band was introduced to improve the spectral index, and gray correlation analysis was utilized to screen sensitive features. Five types of alfalfa-covered soil salinity machine learning inversion models based on random forest (RF) and extreme learning machine (ELM) algorithms were constructed, using the salinity index (SIs), vegetation index (VIs), salinity index + vegetation index (SIs + VIs), vegetation index + texture feature (VIs + TFs), and vegetation index + texture index (VIs + TIs). The determination coefficient R2, root-mean-square error (RMSE) and mean absolute error (MAE) were used to evaluate each model’s performance. The results show that the VIs model is more accurate than the SIs and SIs +VIs models. Combining texture information with VIs improves the inversion accuracy, and the VIs + TIs model has the best inversion effect. From the perspective of inversion depth, the inversion effect for 0–15 cm soil salinity was significantly better than that for other depths, and was the best inversion depth under alfalfa cover. The average R2 of the RF model was 10% higher than that of the ELM. The RF algorithm has high inversion accuracy and stability and performs better than ELM. These findings can serve as a theoretical basis for the efficient inversion of soil salinity and management of saline–alkali lands....
Aquaculture in Bangladesh has expanded, diversified, and intensified over the last decades. Control of infectious diseases is critical for a successful and sustainable aquaculture. In this study, we examined the extent of use of probiotics in aquaculture of Bangladesh, using a questionnaire. Data were collected from 200 individual respondents from commercial fish farms located at Mymensingh, Rajshahi, Jashore, and Cumilla (50 from each) regions. A total of 88 different probiotics products from 36 companies, mostly imported, are used in the aquaculture in Bangladesh. Although in most cases the purpose of the use of probiotics is not clear for the farm owners, several representatives of different companies suggested the use of their different probiotic products, for different situations. Most of the farm owners responded that they used probiotics to get higher production by promoting the growth of fish. A considerable number of farm owners responded that probiotics reduced mortality as well as reduced gas emissions from the aquaculture ponds. Although the use of commercial probiotics varies from region to region, Pondcare and Safegut, the product of SK + F, are mostly used in aquaculture based on the responses (32% and 21% of respondents, respectively). To safeguard and clarify the value and effectiveness of these goods, the fish feed manufacturers and regulatory authorities should monitor their production, collection, and marketing....
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