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World Conference on Agro-Ecology and Crop Science, will be organized around the theme “Modern Exploration Technologies for Crop Production”
Agri & Crop Science 2019 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in Agri & Crop Science 2019
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Crop protection is the science and routine of regulating plant disease, weeds and diverse vermin (both vertebrate and invertebrate) that mischief agrarian yields and officer benefit.The yield plants may be hurt by dreadful little animals, fowls, rodents, minuscule creatures, et cetera. Crop Protection continues to play a major role in achieving targets of crops production. Every year farmers may face the damage done to crops by pests and diseases, according to data of the United Nations Food and Agricultural Organization (FAO), constitutes approximately 20-25 % of the potential World yield of food crops. These discoveries will lead to the creation of “smart” plants that are more resilient to Climate induced stresses. Better understanding of the fundamental biophysical processes controlling nanomaterial plant interactions will enable delivery of nano materials to precise locations in plants where they are needed to be active. The continuous real-time monitoring of plant heat status and the ability to combine these nano enabled technologies with wireless soil sensors and automated water and nutrient delivery systems can lead to more precise.
Breakthroughs in genomics, nanotechnology and robotics along with improvements in computational, statistical, and modeling capabilities will make it possible for scientist and producers to make well-informed, data-driven decisions. , development of high-throughput automated phenol typing capabilities can speed the process of breeding via the use of artificial intelligence and machine learning. However, in order to successfully model, manage, and predict crop production in any given location, better information is also needed on how different cropping management systems (e.g., use of cover crops and crop rotation) influence soil properties such as water storage capacity and nutrient availability. The emerging field of plant nano biotechnology promises transformative solutions for nondestructive monitoring of plant signaling pathways and metabolism .This can increase plant tolerance (e.g., drought, disease, and soil nutrient deficiencies ), alter photosynthesis and enable plants to communicate their biochemical status.
Environment impact on agriculture is climate change, deforestation, irrigation problem, pollutants, soil degradation, and waste. Eventually, the natural effect relies upon the generation practices of the framework utilized by farmers. Agricultural conferences give a chance to analysts and researcher to investigate the progressed and most recent research advancements in the field of Agriculture and Environment.
The discovery of gene-editing systems (such as CRISPR-Cas9) has revolutionized our ability to both understand and genetically modify both plants and animals .For crops, new alleles can be generated and introduced directly into a cultivar of choice, leaping over the time-consuming process of making multiple crosses to combine desirable traits in the progeny. Department of agriculture introduce Gene editing creates the potential to identify and implement new traits in the field on a much faster timescale. Traditional plant breeding is slow and tedious as it can only exploit the limited quantitative trait alleles found in wild relatives, and then it can take between 7 to 12 years to utilize conventional methods to develop a new cultivar (Baenziger et al., 2006). The ability to fine-tune the expression of a quantitative trait locus rather than utilizing only what is available in wild relatives has already shown promise as a way to increase yield. For example, researchers edited genes in three pathways that contribute to productivity in tomato plants-plant architecture, fruit size, and inflorescence to rapidly produce alleles that alter their promoters. The Knowledge of these “hitchhiking genes” is a necessary first step toward their eventual modification or elimination by gene-editing methodologies.
Amaranthus tricolor seeds were purchased from the local market. Sowing of seeds was done by broadcasting. The seeds were mixed with light dried soil to enhance even distribution of the seeds. The seeds were thinned to 20 stands per plot. About 10 t haG1 of fresh poultry manure was cured for 2 weeks and incorporated into all the plots 2 weeks before planting to improve the soil N, P and K content when the initial soil sample showed that the soils were deficient in N, P and K (Table 1). Weeding was done manually with hand-held hoe 2 weeks after planting.
The parameters determined were plants height, number of leaves, number of branches, leaf area, fresh weight, dry weight and moisture content. The N, P, K, Ca, Mg, Fe, Cu, Zn and Mn contents of the leaves were determined. Crude protein, fat, NFE, fibre and ash contents were also determined .The harvested plants from each plot were washed and transported in a well labeled envelope to the laboratory. The harvested plants were washed with distilled water and air-dried. The air-dried samples were packed inside well labeled envelopes and oven dried, at a low temperature until constant weights were recorded. The oven dried samples were allowed to cool inside a desiccator and grounded into powder. The grounded samples were then packed inside a cellophane nylon. The leaf N, P, K, Ca, Mg, Fe, Cu, Zn and Mn were analyzed from the wet digest of the leaf samples ,with their research they create many Agriculture jobs. The nutritional quality such as crude protein, NFE, fibre and ash content were determined using AOAC9 method. The nutrients uptake and nutritional quality of Amaranthus tricolor were determined at their final stages i.e., total harvest at 28 days, 1st ratoon at 42 days (1 time harvest) and 2nd ratoon at 58 days (2 times harvest) after sowing.
In a complex structural model, such as estimated in this study, a change in a particular causal factor may have impacts on outcomes of interest through many different channels, given the many intervening response variables that may be affected. For example, improvements in education may affect agricultural productivity and land degradation directly by affecting farmers’ awareness or ability to use technologies that affect these outcomes. But it may also influence these outcomes indirectly by affecting. Such indirect effects must be accounted for if we are to understand the full effect of causal factors on agricultural production and land degradation
Finding the one characteristic that can offer farmers an advantage is incredibly difficult and time-consuming. One main reason of plant breding is genetic diversity, Through generations of research and discovery, plant breeding has gone beyond selecting a parent plant simply based on its physical appearance and now includes an understanding of the genetic makeup of a plant. This allows plant breeders to better predict which plants will have a higher probably of success.Understanding the genetic markers in a plant’s DNA helps us know which plants carry traits that will help them combat environmental challenges like disease or drought.
Microbes are found in nature. For example, soil is saturated with microorganisms, and a tablespoon of soil could contain around 50 billion of them.Microbes have also been used in our food for thousands of years. From bread to cheese, yogurt, beer, wine, vinegar, soy sauce, sauerkraut, injera, kimchi, and even the preparation of chocolate. Our food is delicious thanks in part to the presence and activity of microbes. In agriculture, folks are developing products containing microbes that can be applied to the surface of seeds and complement or provide an alternative to chemical agricultural products
Small variabilities in the quantity of ingredients can lead to huge differences in taste and texture. Just like we use measuring cups and spoons to maintain precision when baking, farmers use data science to decide how much water, fertilizer, and other inputs are needed to grow and harvest the best crop.In sustainable agriculture data science offers huge potential for farmers; the more easily farmers can see and understand what’s happening in their field, the better able they are to make sustainable choices, both as a steward of the land and as a business owner.
Based on some of the past experiences indicated above, impact of climate change on agriculture will be one of the major deciding factors influencing the future food security of mankind on the earth. Agriculture is not only sensitive to climate change but also one of the major drivers for climate change. Understanding the weather changes over a period of time and adjusting the management practices towards achieving better harvest are challenges to the growth of agricultural sector as a whole. The climate sensitivity of agriculture is uncertain, as there is regional variation in rainfall, temperature, crops and cropping systems, soils and management practices. The inter-annual variations in temperature and precipitation were much higher than the predicted changes in temperature and precipitation. The crop losses may increase if the predicted climate change increases the climate variability.
Extension system has to focus more on diversifying the livelihood options, changing suitable cropping patterns to adjust to the change which is occurring in the particular location, planting more drought tolerant crops, promoting increased share of non-agricultural activities and Agro-forestry practices, identifying the traditional coping strategies, improved on farm soil & water conservation, promoting mixed cropping pattern and making provision for access to various information sources related to weather and other advisories of climate change would minimize the risks and certainty of farmers related to climate change.
Our second agricultural biological technology is called BioDirect. We are developing products that engage a naturally occurring process called RNA interference (RNAi).Like a cook adjusting a recipe for a meal, cells use RNAi to reduce the use of a specific mRNA so that just the right amount of a particular protein is made. RNAi is so specific that it can stop the production of a pigment gene so soybeans are yellow instead of black without affecting thousands of other important “recipes.”