53 research outputs found

    Tillage-induced soil nitrous oxide fluxes from tow soils in the Manawatu : a thesis presented in partial fulfilment of the requirements for the degree of Master of Applied Science in Agricultural Engineering, Institute of Technology and Engineering, Massey University, Palmerston North, New Zealand

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    Enhanced greenhouse gas emissions of nitrous oxide (N₂O) induced by agricultural practices is believed to be the major anthropogenic source. Studies conducted in New Zealand generally from pasture suggest low N₂O emission, however, there is little information for arable farming systems. Therefore, there is a need for a site-specific assessment of the impact of tillage practices on N₂O fluxes. This paper evaluates tillage system and land use effects on N₂O emissions at two sites using a closed chamber technique. Sites included a Kairanga silt loam where maize/barley was grown continuously for either 17 (K17) or 34 (K34) years, with a conventional tillage system (Kairanga), and an Ohakea silt loam where winter oats and summer fodder maize was double-cropped for five years with conventional (CT) and no-tillage (NT) systems (Massey). At both sites permanent pasture (PP) soil was used as a control. Spatial measurements for all treatments at Massey site showed large inherent variations in N₂O fluxes (a mean CV=119%) which reflected natural soil heterogeneity, and perhaps the measurement technique used rather than the real differences due to the tillage and cropping systems evaluated. N₂O emissions measured from December 1998 to September 1999 from the PP were significantly lower (1.66 kg N₂O-N/ha/year) than the CT and NT plots at 9.20 and 12.00 kg N₂O-N/ha/year respectively. However, there were no differences in N₂O emission rates between the CT and NT treatments. Cumulative coefficient of variation (CV) of treatments ranged from 39 to 140%. Seedbed preparation using power-harrow which was done within few days of ploughing the CT plots reduced N₂O emissions by 65% within the first hour after power-harrowing. However. N₂O emission rates returned to the pre-power harrowing levels one month after power-harrowing. There was strong relationship between log-transformed values of soil moisture content (SMC) and N₂O emissions in all treatments. PP (r = 0.73), CT (r = 0.75) and NT (r = 0.86). Seasonal variation in N₂O emission from the PP was in the order of winter=autumn>summer. Although fluxes in the CT were higher in winter than in the autumn season, there were no differences between the summer and autumn data. Similar to the PP. the seasonal variations in N₂O emission in the NT treatment were in the order of winter>autumn=summer. The estimated annual N₂O emissions from the PP. K17 and K34 (calculated as the mean of all individual closed cover chamber measurements between November 1998 and September 1999) from Kairanga site were similar at 3.24, 3.42 and 2.37 kg N₂O-N/ha/year, respectively. There were large variations in N₂O emissions during the year with the mean flux rates ranging from 0.175 to 13.32, 0.175 to 16.91 and 0.088 to 30.05 kg N₂O-N/ha/year in the PP, K17 and K34 fields, respectively. Although overall comparison of treatment means did not show any discernible differences between management practices, there were signs that the K34 had lower emissions compared to the PP. N₂O fluxes from the K17 and PP field appeared to be influenced by SMC. There is clear indication that low or negligible emissions occur when gravimetric soil water content is less than 30% in the PP. Although N₂O fluxes did not follow the rainfall patterns in the K17 and PP, linear regression analyses indicated low but significant relationship r = 0.46 and 0.53 (0.72 when log-transformed), respectively. In the K34 field. SMC did not seem to govern fluxes which were especially apparent during wet months of April and May. The linear regression analysis using the measured data revealed no relationship (r = 0.12) between the SMC and N₂O fluxes in the K34 treatment. Seasonal grouping of monthly log-transformed N₂O emissions showed significant differences in all treatments. Summer season N₂O emissions in the PP were the lowest than other seasons whereas no discernible differences were observed among other seasons. Although N₂O fluxes during spring and summer were similar in the K17 field, they were significantly lower than the winter and higher than autumn fluxes. There were considerably higher emissions in summer than in autumn in the K34 but seasonal variation between winter and spring was less profound. Spatial variability in N₂O fluxes was large during the year with coefficients of variation (CV) ranging from 10 to 82%, 12 to 99% and 9 to 137% for the PP, K17 and K34 fields, respectively

    Case Study #8-7 of the Program: ''Food Policy For Developing Countries: The Role Of Government In The Global Food System''

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    13 pp.©Cornell University, Ithaca, New York. All rights reserved. This case study may be reproduced for educational purposes without express permission but must include acknowledgment to Cornell University. No commercial use is permitted without permission.Soil salinity is one of the critical factors responsible for the ongoing land degradation in the irrigated lowlands of Central Asia, including in the lower reaches of the Amudarya Delta. This land degradation hinders sustainable development and presents a major challenge for the area's rural population, whose livelihood security depends on irrigated agriculture. The factors causing soil salinity are multifaceted and interlinked; recent studies and interventions confirm that no one action alone will deliver a sustainable solution. Recommendations for alleviating soil salinity should take into account the complex interactions and can be formulated only once the interlinked factors causing soil salinity are understood. In the past, little attention was paid to creeping land degradation, which has resulted from soil salinization and waterlogging across huge agricultural and even nonagricultural areas. This case study focuses on the vicious circle of soil salinization: agriculture's consumption of large amounts of water contributes to shallow groundwater, leading to recurring soil salinity, which in turn demands more water for leaching (flushing the salts out of the rooting zone). The situation is exacerbated when water is not available in sufficient amounts in time and in space. The seemingly stable present water flows in the major water source (the Amudarya River) since the major drought in 2000–01 is caused by increased glacier melting in upstream countries. This water supply in turn diverts attention from the strong need for improved irrigation and cropping practices. Efforts aimed at reducing the amounts of irrigation water use face the problem of the devilish vicious circle, which has not only technical but also financial and political dimensions. Your assignment is to present policy options for managing soil salinity in a more sustainable way. Focus on incentives and instruments to solve the artificial water shortage problem.Cornell University Division of Nutritional Science

    Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series

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    Cropland abandonment is globally widespread and has strong repercussions for regional food security and the environment. Statistics suggest that one of the hotspots of abandoned cropland is located in the drylands of the Aral Sea Basin (ASB), which covers parts of post-Soviet Central Asia, Afghanistan and Iran. To date, the exact spatial and temporal extents of abandoned cropland remain unclear, which hampers land-use planning. Abandoned land is a potentially valuable resource for alternative land uses. Here, we mapped the abandoned cropland in the drylands of the ASB with a time series of the Normalized Difference Vegetation Index (NDVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) from 2003–2016. To overcome the restricted ability of a single classifier to accurately map land-use classes across large areas and agro-environmental gradients, “stratum-specific” classifiers were calibrated and classification results were fused based on a locally weighted decision fusion approach. Next, the agro-ecological suitability of abandoned cropland areas was evaluated. The stratum-specific classification approach yielded an overall accuracy of 0.879, which was significantly more accurate ( p < 0.05) than a “global” classification without stratification, which had an accuracy of 0.811. In 2016, the classification results showed that 13% (1.15 Mha) of the observed irrigated cropland in the ASB was idle (abandoned). Cropland abandonment occurred mostly in the Amudarya and Syrdarya downstream regions and was associated with degraded land and areas prone to water stress. Despite the almost twofold population growth and increasing food demand in the ASB area from 1990 to 2016, abandoned cropland was also located in areas with high suitability for farming. The map of abandoned cropland areas provides a novel basis for assessing the causes leading to abandoned cropland in the ASB. This contributes to assessing the suitability of abandoned cropland for food or bioenergy production, carbon storage, or assessing the environmental trade-offs and social constraints of recultivation

    Determinants and impact of farmers’ participation in social media groups: Evidence from irrigated areas of Kazakhstan and Uzbekistan

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    The spread of information and communications technology (ICT) in Central Asia has reached a point where most farmers use smartphones with mobile internet access, providing an opportunity for a cost-effective and timely access to agricultural information and extension services. When extension service provision is poor and does not reflect farmers’ immediate needs, farmers often seek other sources of informaton, such as exchanging knowledge with their peers via social media groups in instant messaging applicatons (apps). Using the findings of a farm-level survey conducted in 2022 in irrigated areas of Kazakhstan and Uzbekistan, we study behavior and attitudes of farmers in terms of participation in smartphone-based social media groups and its impact of farm performance. We find that in the two country contexts, underlying reasons for participation in social groups differ. In Kazakhstan, participation decisions are made by those who have better access to a mobile internet connection, are younger, have agriculture-related education, have a wider communication circle on phone with more than four individuals, cultivate fewer crops, have lands with low soil quality and poor irrigation water access, as well as located in remote areas. In Uzbekistan participation decisions are made by those who see the relevance of mobile internet for their farm business, have their own agronomic knowledge, are open to new things, care less about the opinion of other farmers, have higher perception about freedom in crop choice, have of-farm work, as well as poor irrigation water access. These fndings suggest farmers' participation in agricultural information-sharing groups (AISG) is influenced less by the type of cultivated crops or farm size, but by their institutional environment. The findings are relevant for developing private strategies and public policies to spread digital technologies among Central Asia’s farmers. When introducing smartphone-based digital advisory services policymakers are recommended to start scaling up with younger and more educated farmers who rely on their own knowledge and are more open to embracing new ways of farming and interaction. Farmers’ decision-making autonomy will be crucial for converting digital transformation in agriculture into farm benefits

    Farmers’ social media groups for better extension and advisory services

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    The spread of information and communications technology (ICT) in Central Asia has reached a point where most farmers use smartphones with mobile internet access providing an opportunity for a low-cost and timely access to agricultural information and advisory services. When extension service is poor and does not cater to the farmers’ needs, farmers seek other sources of information, such as exchanging knowledge with their peers and engaging in social media groups using instant messaging applications (apps) such as Telegram and WhatsApp. Analysis of a farm-level survey conducted in 2022 in Kazakhstan and Uzbekistan, suggests that farmers’ participation in online groups for information exchange is influenced by the enabling environment rather than by the type of cultivated crops or farm size. The findings are relevant for developing private sector strategies and public policies to spread digital technologies among Central Asia’s farmers with a holistic plan for a digital transformation. When introducing smartphone- or web-based digital technologies, policymakers are recommended to start scaling up with younger and more technologically-savvy farmers who on the one hand rely on their own knowledge but on the other hand are more open to embracing new ways of farming and interaction. Decision-making autonomy is an important factor to facilitate digital transformation in agriculture in the Central Asian context

    Suitability mapping of several sustainable land management practices (SLMs) in Uzbekistan

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    The suitability of 18 sustainable land management (SLM) practices in Uzbekistan were mapped to show where they could be done

    Фермерские группы в социальных сетях для повышения качества услуг по распространению знаний и консультаций

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    Распространение информационно-коммуникационных технологий (ИКТ) в Центральной Азии достигло уровня, при котором большинство фермеров получают необходимую им своевременную и доступную информацию и консультационные услуги непосредственно из Интернета, используя смартфоны. В настоящее время фермеры активно ищут альтернативные источники информации в условиях, когда качество официальных служб распространения сельскохозяйственных знаний не отвечает спросу. Например, фермеры используют соцсети, такие как Telegram и WhatsApp, для обмена сообщениями и знаниями в тематических группах. Исследование фермерских хозяйств, проведенное в Казахстана и Узбекистана в 2022 году, выявило, что участие фермеров в онлайн-группах по обмену информацией в основном обуславливается возможностью быстрого доступа к необходимой информации. В то же время вид возделываемых культур или площадь земель фермерского хозяйства имеют меньшее значение. Результаты исследования актуальны для разработки стратегий частного сектора и государственной политики по распространению цифровых технологий среди фермеров Центральной Азии с комплексным планом цифровой трансформации. При широком внедрении цифровых технологий на основе смартфонов и интернета рекомендуется делать ставку на молодых и технологически подкованных фермеров, которые, с одной стороны, полагаются на собственные знания, а с другой – более отзывчивы к внедрению новых подходов ведения сельского хозяйства и взаимодействия c другими фермерами. Самостоятельность фермеров в принятии решений является одним из важных факторов в цифровой трансформации сельского хозяйства региона. "English title: Farmers' social media groups for better extension and advisory services

    WP 5: Scaling innovation and digital tools for climate resilient food value chains

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    From Fragility to Resilience in Central and West Asia and North Africa (F2R CWANA) WP 5: Scaling innovation and digital tools for climate resilient food value chains Inception Workshop Morocco May 17, 202
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