Climate Change and Its Influence on Crop Farming in Xintai City

[Objective] The research aimed to study the variation characteristics of climate and its influence on the crop farming in Xintai City.[Method] By using the yearly and monthly average temperature,rainfall,first and last frost dates,frost-free period,sunshine hours,etc.in Xintai City during 1957-2009,the variation characteristics of climate and its influence on the crop farming in Xintai City in recent 53 years were analyzed.[Result] The temperature rose in the fluctuation in Xintai City.The warm winter phenomenon was prominent,and ≥0℃ accumulated temperature increased yearly.In recent 10 years,the first frost postponed,and the last frost advanced.The growth season of crop prolonged.The annual rainfall decreased in the fluctuation,and the annual sunshine hours presented the decrease trend as a whole.For the accumulated temperature increased,and the frost-free period prolonged,the sowing date and farming system of main crops in Xintai City changed.The rising of winter temperature was favorable for the development of industrialized agriculture,such as the warm house booth.The multiple-cropping index improved,and the characteristic planting advantage was prominent.The climate warming made that the planting areas of yellow ginger and day lily enlarged,and the planting boundary moved northward.The sowing dates of wheat and peanut postponed.The sowing date of yellow ginger advanced,and the growth period prolonged.Meanwhile,the climate variation also made that the plant diseases and insect pests,spring frozen injury aggravated in Xintai.The influence of extreme weather induced by the increasing of extreme climate event on the yield and quality of fruit tree was stronger.The planting risks of yellow ginger and day lily increased.[Conclusion] The research provided the scientific basis for promoting the sustainable development of economic society in Xintai.

Techniques in Utilizing Remote Sensor Technology for Precision Crop Production by Farmers as Climate Change Adaptation Strategy in Nigeria

This paper focuses on techniques in utilizing remote sensor technology for precision crop production by farmers as climate change adaptation strategy in Nigeria. Descriptive survey research design was adopted for the study and was carried out between August 2013 and May 2014. The findings of the study revealed that 32 items were needed by farmers in utilizing sensory technology for precision crop production. The study recommended that the 32 items identified by the study should be utilized by extension agent in teaching the farmers the use of sensor technology for precision crop production while the farmers should make themselves available for the training.

The Effect of Land Degradation on Farm Size Dynamics and Crop-Livestock Farming System in Ethiopia: A Review

Ethiopia is among the poorest countries in which poverty, land and resource degradation appear to feed off each other. The irony is that Ethiopia is a country with high biodiversity and distinctive ecosystems and the natural resource base is critical to the economy and the livelihood of a high percentage of the population. Being the owner of varying agro ecology, the country’s agricultural production system had practiced for decades with a maximum potential. However, because of the presence of interrelated problems, the productivity had not sustained as its potential. From the interrelated problems, land degradation takes the first and challengeable problem in many countries. Land degradation refers to a temporary or permanent decline in the productive capacity of the land, or its potential for environmental management as a result;the long-term biological and environmental potential of the land has been compromised. Land degradation in the Ethiopian highlands (i.e. areas above 1500 m.a.s.l.) has been a concern for many years and is a great threat for the future that requires great effort and resources to ameliorate. It had adverse effect on lowering of livestock production by shrinking grazing land, the fertile soil types were washed and the grazing land was dominantly covered by unpalatable pastures and grasses which had low nutritive value and fertility for crop-livestock production system. In other cases, degradation induces farmers to convert land to lower-value uses;for instance, cropland converted to grazing land, or grazing lands converted to shrubs or forests. Equitable and secure access to land is a critical factor for the rural poor, especially livestock owners, who depend on agriculture and animal-related activities for their livelihood. Having secure access to land for agriculture and pastoral activities reduces their vulnerability and enhances their opportunities to invest in land for agriculture and livestock activities. Historical patterns of feudal ownership of land followed by government ownership and despite policy change uncertain status of land ownership. These land distribution and ownership patterns coupled with continuous fragmentations and degradation disrupt the balance between crop, livestock, and forest production. These things nowadays enforce Ethiopian farmers to put more land into crop production than working on livestock sector. Livelihoods are complex, dependent on animal and crop production based on land and water resources, with emerging market opportunities. And from year to year, the size of farms is getting minimized because of land degradation and segmentations, and these make a change in farm size dynamics and farming shift. Currently, there is a great scenario towards the land policy pattern and agricultural production system, which is the backbone of the country’s economy. Therefore, the aim of this paper is to review the effect of land degradation on farm size dynamics and crop-livestock production since the impact of these things is not well measured.

Adaptation of Root Crop Farming System to Climate Change in Ikwerre Local Government Area of Rivers State, Nigeria

This study examined adaptation of root crop farming system to climate change in Ikwerre Local Government Area of Rivers state, Nigeria. Seven towns were selected based on a population of five thousand and above from which one hundred and ninety-one respondents were randomly chosen. Sixty-six years’ data on climatic variables of rainfall, temperature and relative humidity were obtained from Nigeria Meteorological Agency between 1950-2015. Analyses were carried out using simple proportion for qualitative variables while mean and standard deviation were used in analyzing the qualitative variable. Similarly, the triangulation method involving qualitative and quantitative components in data generation was used. Results showed that, there had been a steady but gradual increase in the mean annual minimum and maximum temperatures over the study period of thirty years. The overall mean rainfall computed was 191.1 mm. In general, there was a shift increase in both rainfall and temperature during the period under study. The respondents attributed crop failure (100%), reduced crop yield (100%), increase incidence of pest and diseases (100%) and delay in planting period (100%) as direct effects of climate change. A steady trend in relative humidity of (84.3%) was recorded and the mean annual wind speed computed was 67.9 knots. The adapted strategies include delay planting period, crop diversification 100%, cultivation of early maturing crops such as maize, vegetables, intercropped with the root crops and changes in the time of farm operations (99.4%) as well as a change in the planting period and changing farm location (98.9%). The latter will in addition to other benefits reduce the incidences of pest and diseases that may be attracted to the same field if continuously cultivated with the same crops. An implementable policy of accessibility of finance to the real farmers is seriously advocated.

Real-Time Crop Prediction Based on Soil Fertility and Weather Forecast Using IoT and a Machine Learning Algorithm

The aim of this article is to assist farmers in making better crop selection decisions based on soil fertility and weather forecast through the use of IoT and AI (smart farming). To accomplish this, a prototype was developed capable of predicting the best suitable crop for a specific plot of land based on soil fertility and making recommendations based on weather forecast. Random Forest machine learning algorithm was used and trained with Jupyter in the Anaconda framework to achieve an accuracy of about 99%. Based on this process, IoT with the Message Queuing Telemetry Transport (MQTT) protocol, a machine learning algorithm, based on Random Forest, and weather forecast API for crop prediction and recommendations were used. The prototype accepts nitrogen, phosphorus, potassium, humidity, temperature and pH as input parameters from the IoT sensors, as well as the weather API for data forecasting. The approach was tested in a suburban area of Yaounde (Cameroon). Taking into account future meteorological parameters (rainfall, wind and temperature) in this project produced better recommendations and therefore better crop selection. All necessary results can be accessed from anywhere and at any time using the IoT system via a web browser.

Comparative Water Efficiency Analysis of Sole and Multiple Cropping Systems under Tunnel Farming in Punjab-Pakistan

Water scarcity is the growing concern of present times, requiring its efficient utilization deemed as necessity. Rapidly growing population has significantly exerted pressure on its demand, in Pakistan. In order to fulfill it, all factors of production are required to be used in the possibly most efficient way. Good quality and quantity of water are the growing concerns of producers in Pakistan and around the globe. The efficient water utilization is crucial to optimize the farm returns under the selected sole and multiple cropping systems. This study considered the water efficiency analysis of multiple and sole cropping systems, with the aim of finding out cropping patterns more efficient in terms of water utilization in Pakistan. In order to estimate the water efficiency analysis, the Data Envelopment Analysis (DEA) is run to find out the water efficient cropping systems among sole and multiple cropping systems. The Tobit analysis is also used to find out the factors affecting the water efficiency of selected farms in the study area. The results of the study report an inefficient water usage in terms of irrigation, the inefficient use of water instigates the wastage of one of the most important as well as scarce farm inputs especially water, in case of multiple cropping system. Around 51% and 13% of water inefficiency are present under multiple and sole cropping systems, respectively. Basin irrigation is the method for irrigation, used by the farmers of the study area approximating to be 95% - 97%. It is one of the most conventional and least efficient methods of irrigation. Only 2.67 and 4.67 percent of farms were using the Furrow irrigation method, which is way more efficient and steady as compared to Basin irrigation method, respectively. It appears as a requirement that the most efficient methods regarding water application in Pakistan should be recognized. Lack of management in water application on both selected cropping systems resulted in over utilization of water and depletion of one of the fundamental natural resource. In order to overcome the inefficiency in water management, farmers’ farming knowledge, adoption of new irrigation techniques, efficient application of inputs is needed.

乡村振兴背景下栽培与耕作学教学改革与探索

栽培与耕作学是涉农专业的核心课程之一,在乡村振兴背景下,其对农业人才的培养具有重要作用。该文以贵州师范学院为例,对栽培与耕作学课程的历史沿革进行介绍,对课程教学现状以及存在的问题进行探讨分析,从课程思政、课程内容、教学评价和教学方法等方面提出一些建议,以期为高质量课程的建设提供参考。

山区农产品主产区种养关联碳减排潜力估算——以四川洪雅、开江、盐亭和兴文县为例

种养关联既可有效利用农业废弃物,又具碳减排效应。已有研究主要聚焦农业废弃物资源化利用及其污染控制,对农业种养关联碳减排缺乏关注。本文以四川盆地山地丘陵农产品主产区的洪雅、开江、盐亭和兴文4县为研究对象,采用草谷比法估算作物秸秆量,依据能量转化构建秸秆饲料化利用碳减排潜力估算法,采用排泄系数法估算畜禽粪便量,依据营养物质循环构建粪便肥料化利用碳减排潜力估算法,探讨2008—2017年该区种养关联碳减排潜力。结果表明:(1)该区种养关联年均碳减排潜力为19.42×10^(4)t,且微弱上升(1.25%)。其中,作物秸秆饲料化利用年均碳减排潜力15.49×10^(4)t,上升8.37%;畜禽粪便肥料化利用年均碳减排潜力3.93×10^(4)t,下降23.09%。(2)该区单位耕地面积种养关联碳减排潜力为2.04 t/hm^(2),其中,开江(2.36 t/hm^(2))>洪雅(2.30 t/hm^(2))>盐亭(2.01 t/hm^(2))>兴文(1.57 t/hm^(2))。(3)该区种养关联碳减排潜力中作物秸秆饲料化利用占比(79.75%)>畜禽粪便肥料化利用(20.25%);作物秸秆饲料化利用碳减排潜力以水稻(35.07%)、玉米(24.99%)、小麦(13.44%)和油菜(12.77%)等作物为主(共86.27%);畜禽粪便肥料化利用碳减排潜力以牛粪便为主(占52.94%)。本研究可以为山地丘陵区种养关联碳减排提供理论依据。

不同稻虾模式对硫酸盐还原菌群落结构及多样性的影响

硫酸盐还原菌(SRB)作为一种土壤中普遍存在的微生物,在生物地球化学循环中发挥关键作用。本研究以常规水稻单作模式为对照(CK),无环沟式稻虾(水稻和克氏原螯虾)共作模式(RS_(0))、有环沟式稻虾轮作模式(RS_(1))与有环沟式稻虾共作模式(RS_(2))为研究对象,采用16S rDNA高通量测序技术,探究不同稻虾模式对土壤硫酸盐还原菌(SRB)群落结构及多样性的影响。结果表明:与CK相比,3种稻虾模式均显著降低了水稻成熟期土壤氧化还原电位(Eh)和硫化物、硫酸盐、全硫含量,提高了pH和有机质、速效钾、碱解氮含量,其中RS_(0)提升效果最为显著;3种稻虾模式SRB群落结构存在差异:RS1、RS2和RS0处理的δ-变形菌纲相对丰度比CK分别下降46.00%、63.61%和51.94%,而α-变形菌纲则分别提高402.52%、441.01%和584.17%。3种稻虾模式硫酸盐还原菌Observed_species指数、Shannon指数和Simpson指数与CK相比均显著提高,但不同稻虾模式间丰富度及多样性没有显著差异。RDA分析表明,速效钾、Eh、有机质、有效磷、碱解氮、硫酸盐、硫化物、全硫和pH是影响稻田土壤SRB群落结构的影响因子,其中全硫和硫化物是主要因子。综上,稻虾模式能维持或者提高稻田土壤养分状况和SRB群落丰富度及多样性,改善稻田土壤SRB群落结构,结果可为稻虾种养土壤生态健康及稻田综合种养土壤微生物研究提供参考和支撑。

补充灌溉对盐渍化农田冬小麦生长生产的影响模拟

为探究适宜干旱半干旱地区盐渍化农田冬小麦的补充灌溉策略,开展了不同灌溉次数和土壤含盐量处理下的田间试验,利用AquaCrop模型对冬小麦生长生产进行了校验,并通过情景模拟优化了典型水文年份下盐渍化农田冬小麦补充灌溉方法。结果表明:(1)AquaCrop模型可较好的模拟补充灌溉对盐渍化农田冬小麦冠层覆盖度、累积腾发量、干物质量及籽粒产量的影响,各指标的相对误差P_e为-28.54%~20.78%,相关性系数R~2为0.90~0.98,均方根误差RMSE分别为5.28%~12.19%、14.99~26.81 mm、0.57~1.04 t/hm^(2)和0.45~0.55 t/hm^(2),归一化均方根误差NRMSE为6.49%~20.10%。(2)随着灌水次数减少和土壤含盐量增加,模型精度有所降低,同时由于AquaCrop在全生育期采用了一致的作物系数,无法准确预测水盐胁迫下冬小麦早衰现象,模型易高估亏缺灌溉和盐渍化土壤条件下的冬小麦生长生产。(3)研究区轻度盐渍化农田推荐的冬小麦补充灌溉策略是干旱年在拔节、开花及灌浆期灌水60 mm、正常年在拔节及开花期灌水60 mm、湿润年在拔节期灌水60 mm,中度和重度盐渍化农田需在此基础上加灌1次60 mm,以上补充灌溉策略可实现6.53~8.37 t/hm^(2)的冬小麦籽粒产量,在节水的同时确保收获大于80%的潜在籽粒产量。

ChatGPT在农业领域的应用前景分析与策略建议

农业是维系人类生存和发展的重要产业,随着全球人口不断增加,农业行业迫切需要采用新兴技术来提高农业生产能力。ChatGPT(Chat Generative Pre-trained Transformer)作为一项具有划时代意义的人工智能技术,在农业领域中具有不可忽视的应用价值。本文分析了ChatGPT在农作物种植管理、畜牧业生产管理、农产品市场营销、农业教育与科技发展探索等领域中的应用潜力,同时指出了其相关的局限性,并提出了针对性的解决策略,旨在为农业生产、农业研究与发展领域的决策者和从业者提供一些参考。

北方农牧交错区复种燕麦品种的筛选与评价

为筛选出适宜呼伦贝尔地区栽培的复种燕麦(Avena sativa)品种,从发芽特征、物候期、生产性能、茎叶比、生长速率和营养品质6个方面开展系统分析,本研究以综合产量和品质参数的灰色关联分析法确定选择的品种,筛选适应于试验区生产的品种资源。结果表明:‘燕麦品系3’发芽率、发芽势表现最好;不同燕麦品种生育期存在一定差异,‘燕麦品系1’与‘香燕8号’成熟性晚于其他试验品种;生产性能方面,‘香燕13号’株高、生长速率和干草产量表现最优,‘小燕麦’鲜草产量最高,‘香燕8号’的茎叶比最小,粗蛋白与饲料相对值表现最高,但产量最低。通过灰色关联统计分析进行综合评价,‘燕麦品系3’‘燕麦品系2’‘小燕麦’‘香燕13号’较适宜试验区作为复种燕麦品种进行栽培。通过燕麦复种,可以获取更高产量和优质的饲草,有利于缓解当地家畜冬季饲草匮乏和优质牧草短缺的畜牧业发展的瓶颈,对保障试验区畜牧业的健康发展和粮食安全具有重要意义。

生态文明建设下中国种植业温室气体排放时空演变特征

农作物种植在保障国家粮食安全的同时,也是农业领域重要的温室气体(GHG)排放源之一,在我国农业“双碳”目标实现路径中具有显著地位。基于多源统计数据,分别在国家尺度和省域尺度上,定量分析了1978—2020年我国种植业GHG排放的动态变化与空间分异格局。结果表明:(1)1978—2020年我国种植业GHG排放总量整体呈显著增加趋势(P<0.01),但其在1997—2003年和2012—2020年间出现了两次较为明显的下降,且下降的成因并不相同,使得GHG排放强度(即单位粮食产量的GHG排放量)在这两个时段表现出相反的变化过程。其中,2012—2020年间出现GHG排放减少而粮食产量增加的态势,GHG排放强度降幅接近20%,已呈现出粮食增产和碳减排目标的协同实现。(2)1978—2020年省域尺度上种植业GHG排放量呈现出“南高北低、东高西低”的空间差异,总体格局与粮食产量的均值分布存在较好的对应关系。但在2012—2020年间,全国大部分地区粮食产量增加,同时这些地区GHG排放强度都出现了不同程度的下降,主要得益于化肥和农药使用量的减少。研究结果体现了在确保我国粮食安全的前提下,生态文明建设政策的实施为种植业实现“双碳”目标做出了积极的贡献。

农作物秸秆在畜牧养殖场高效利用的研究

随着我国养殖业的快速发展,禽畜粪便排放量也逐年增加,大量未经处理的粪便给生态环境带来了沉重的负担,同时种植业生产出来的大量农作物秸秆也亟待应用在畜牧养殖业中,作为粗饲料来源以解决牲畜营养所需。该文通过农作物秸秆饲料化、肥料化在畜牧养殖场中应用的途径进行分析,制定了实施方案,采用种养结合的生态农牧业循环经济模式,将种植业和养殖业有效结合起来,不仅提高了农作物秸秆在畜牧养殖场中的利用率,同时也解决了畜牧养殖中的环境污染问题,使黑土地得到了保护,具有一定的应用推广价值。

秸秆粉碎技术对土壤环境及作物生长的提升机理

秸秆粉碎技术是指将农田或农作物种植后残留的秸秆、稻草等植物秸秆进行机械粉碎处理,在有效处理秸秆的同时秸秆中的有机物质和养分为土壤提供营养,有助于改善土壤质量。该文分析了秸秆粉碎对土壤环境的影响,包括改善土壤结构、增加土壤有机质和提高土壤保水保肥能力等方面的正面影响。同时探讨了秸秆粉碎技术可能带来的负面影响,如对土壤微生物和生物多样性的影响等,阐述了秸秆粉碎对作物生长中提供养分、改善土壤温度、减轻土壤压实等方面的作用机理,并结合实际案例和研究成果,总结秸秆粉碎技术在提升土壤环境质量和促进作物生长方面的重要意义和发展趋势,研究内容旨在对农业生产具有重要意义。

Do Land Characteristics Affect Farmers' Soil Fertility Management?

Soil fertility management （SFM） has important implications for sustaining agricultural development and food self-sufifciency. Better understanding the determinants of farmers’ SFM can be a great help to the adoption of effective SFM practices. Based on a dataset of 315 plots collected from a typical rice growing area of South China, this study applied statistical method and econometric models to examine the impacts of land characteristics on farmers’ SFM practices at plot scale. Main results showed that in general land characteristics affected SFM behaviors. Securer land tenure arrangements facilitated effective practices of SFM through more diversiifed and more soil-friendly cropping pattern choices. Plot size signiifcantly reduced the intensities of phosphorus and potassium fertilizer application. Given other factors, 1 ha increase in plot size might reduce 3.0 kg ha-1 P2O5 and 1.8 kg ha-1 K2O. Plots far from the homestead were paid less attention in terms of both chemical fertilizers and manure applications. Besides, plots with better quality were put more efforts on management by applying more nitrogen and manure, and by planting green manure crops. Signiifcant differences existed in SFM practices between the surveyed villages with different socio-economic conditions. The ifndings are expected to provide important references to the policy-making incentive for improving soil quality and crop productivity.

Efficiency and productivity analysis of vegetable farming within root and tuber-based systems in the humid tropics of Cameroon

The study analyzes the technical efficiency of vegetable farmers in root and tuber-based farming systems within selected sites of the humid tropics of Cameroon. Multistage sampling was used to collect primary data from a cross-section of vegetable farmers drawn from eight selected sites in Santa sub division, Northwest region of Cameroon. Stochastic frontier analysis was used to estimate the technical efficiency of vegetable farmer and to examine its determinants. The results showed that farmyard manure was the most productive factor input, followed by farm equipment and labor. The mean technical efficiency level was 67%, revealing production shortfalls and indicating possibilities of significantly increasing production with the current input Jevels. Female, as well as more educated farmers were found to be significantly more efficient than their counterparts. The results also showed that farmers become less technical efficient as farm sizes become larger. Our study findings suggest that smallholder farmers＇ access to manure, farm implements, and increased women participation in vegetable farming, will produce huge payoffs in vegetable production efficiency in Cameroon.

Heavy Metal Contaminated Food Crops Irrigated with Wastewater in Peri Urban Areas, Zambia

Studies on peri urban farming in Zambia have not adequately tackled the issues pertaining to heavy metal contaminated wastewater irrigation farming. The study investigated heavy metal contamination of water, soils and crops at two peri urban areas in Zambia. Two study sites were New Farm Extension in Mufulira Town in the Copperbelt Province and Chilumba Gardens in Kafue Town in Lusaka Province. The heavy metals investigated were lead, copper, cobalt, nickel and chromium. These heavy metals were found to be higher than acceptable limits in wastewater used to irrigate crops and there are potential human health risks associated with consumption of heavy metal contaminated food crops which have implications on the livelihoods of people. Samples of water, soil and crops were collected and analysed for lead (Pb), copper (Cu), chromium (Cr), cobalt (Co) and nickel (Ni) using the Atomic Absorption Spectrometer (AAS). The data on heavy metals was analysed using mean, standard error and T-test. The results indicated that the levels of heavy metals in wastewater, soil and food crops were above acceptable limits at two study sites. It can be concluded that there was heavy metal contamination of wastewater, soil and food crops at the two peri-urban areas in Zambia. The study highlighted the actual levels of heavy metal contaminant uptake in food crops consumed by the peri urban population. The information from this study can be used by the relevant authorities to develop appropriate measures for monitoring and control of heavy metal contamination in wastewater irrigation farming systems in peri urban areas inZambia.

Survey of Rice Cropping Systems in Kampong Chhnang Province,Cambodia

Although Cambodia might have achieved self-sufficiency and an exported surplus in rice production,its rice-based farming systems are widely associated with low productivity,low farmer income and rural poverty.The study is based on a questionnaire village survey in 14 communes containing 97 villages of Kampong Chhnang Province from March to June,2011.It analyzes the prevailing rice-based cropping systems and evaluates options for their improvement.Differences in cropping systems depend on the distance from the Tonle Sap water bodies.At distances greater than 10 km,transplanted wet-season rice cropping system with low productivity of about 1.6 t/hm 2 prevails.This deficiency can be primarily attributed to soils with high coarse sand fractions and low pH （〈 4.0）,use of ＇late＇ cultivars,and exclusive use of self-propagated seeds.To improve this cropping system,commercial ＇medium＇ cultivars help prevent crop failure by shortening the cultivation period by one month and complementation of wet-season rice with non-rice crops should be expanded.Areas adjacent （≤ 1 km） to the water bodies become inundated for up to seven months between July until January of each year.In this area,soils contain more fine sand,silt and clay,and their pH is higher （〉 4.0）.Farmers predominantly cultivate dry-season recession rice between January and April.Seventy-nine percent of the area is sown directly and harvested by combines.Adoption ratio of commercial rice seeds is 59% and yields average 3.2 t/hm 2.Introduction of the second dry-season rice between April and July may double annual yields in this rice cropping system.Besides upgrading other cultivation technologies,using seeds from commercial sources will improve yield and rice quality.Along with rice,farmers grow non-rice crops at different intensities ranging from single annual crops to intensive sequences at low yields.

Effect of Application of Vermicompost and Conventional Compost Derived from Different Residues on Pea Crop Production and Soil Faunal Diversity in Agricultural System in Garhwal Himalayas India

Sedentary crop-livestock mixed farming is the predominant agricultural land use in Central Himalaya upland and largely rainfed;agrochemicals are not used at all. Farmers focus on increasing yields with poor soil fertility management practices resulted in sharp decline in production of pea crop in the study site. Therefore in present study options are being looked into devising some conservation strategies that increase yields of pea while reducing harm to soil biodiversity at a local scale here. The present study explores the efficiency of P. excavatus as endemic earthworm species for vermicomposting, the potential utilization of Conventional oak based farmyard manure (FM-O);Conventional pine based farmyard manure(FM-P);Earthworm fed ? Cow dung + oak leaves based vermicompost (VC-O);Earthworm fed ? Cow dung + pine leaves based vermicompost (VC-P);freshly fallen leaf litter (LM) on pea crop productivity and soil faunal diversity in agricultural system, and if the changed soil faunal biodiversity scenario in any way affected the crop production. The higher uptake of nitrogen, higher germination percentage enhanced seedling growth, early emergence flower, increase number of pods, seed, husk , and root biomass was significantly higher in plants which received VC-O followed by VC-P as manure input treatments. The change in the diversity of soil micro arthropods in relation to quality change in organic residues input in experimental plots and expressed as the Simpsons diversity index showed that the diversity of soil fauna is related to improvements in soil conditions resulting from nutrient manipulations through vermicompost and conventional compost treatments. This response of soil biota to increased production most likely represents an increase in the availability of resources through addition of vermicompost when compared to other compost treatments. Alternatively, an increase in predators and therefore predation, could, increase the diversity of its prey, thereby decreasing dominant competitors and reducing the possibility of competitive exclusion, but this needs further studies. Chronosequence study during cropping season indicated that the composition and abundance of soil fauna in agricultural fields changed considerably with time under cultivation. This technology has now been adopted by the farmers in the area once again for growing the pea crop.