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Feeding Asia in the 21st century will require a second Green Revolution. However, unlike in the first generation, future yield increases will have to be grown using less water and nitrogen in a world of unfavorable climate change - this can only be done by increasing the efficiency of the photosynthetic system, i.e. developing a C4 rice plant. If and when achieved, it would be the first nonevolutionary example of reconstructing the primary metabolism of a plant. The impact of such a scientific achievement would be undeniable, but it requires either a superb feat of genetic engineering or forc

Rice --- Crop yields. --- Photosynthesis. --- Photobiology --- Plants --- Gases from plants --- Crops --- Field crops --- Yields, Crop --- Agricultural productivity --- Soil productivity --- Lowland paddy --- Lowland rice --- Oryza sativa --- Paddy (Plant) --- Padi --- Palay --- Oryza --- Genetic engineering. --- Yields. --- Effect of light on --- Photorespiration --- Yields

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Agro-Ecosystem Diversity: Impact on Food Security and Environmental Quality presents cutting-edge exploration of developing novel farming systems and introduces landscape ecology to agronomy. It encompasses the broad range of links between agricultural development and ecological impact and how to limit the potential negative results. Presented in seven sections, each focusing on a specific challenge to sustaining diversity, the book provides insights toward the argument that by re-introducing diversity, it should be possible to maintain a high level of productivity of agro-ecosystems while also maintaining and/or restoring a satisfactory level of environment quality and biodiversity.

Agrobiodiversity. --- Crop diversification. --- Crop yields. --- Crops --- Field crops --- Yields, Crop --- Agricultural productivity --- Soil productivity --- Diversification of crops --- Agricultural diversification --- Agricultural biodiversity --- Agricultural biological diversity --- Agro-biodiversity --- Agricultural ecology --- Biodiversity --- Yields --- Diversification

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The future of agriculture greatly depends on our ability to enhance productivity without sacrificing long-term production potential. The application of microorganisms, such as the diverse bacterial species of plant growth promoting rhizobacteria (PGPR), represents an ecologically and economically sustainable strategy. The use of these bio-resources for the enhancement of crop productivity is gaining importance worldwide. Bacteria in Agrobiology: Crop Productivity focus on the role of beneficial bacteria in crop growth, increased nutrient uptake and mobilization, and defense against phytopathogens. Diverse group of agricultural crops and medicinal plants are described as well as PGPR-mediated bioremediation leading to food security.

Biological pest control agents. --- Introduced organisms. --- Plants -- Microbiology. --- Biology --- Health & Biological Sciences --- Microbiology & Immunology --- Agricultural productivity. --- Crop yields. --- Crops --- Field crops --- Yields, Crop --- Productivity, Agricultural --- Yields --- Life sciences. --- Biotechnology. --- Agriculture. --- Bacteriology. --- Life Sciences. --- Agricultural productivity --- Soil productivity --- Agriculture --- Farm management --- Economic aspects --- Chemical engineering --- Genetic engineering --- Farming --- Husbandry --- Industrial arts --- Life sciences --- Food supply --- Land use, Rural --- Microbiology --- Bacteriology, Agricultural.

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This edited book deals with latest comprehensive information on conventional and high throughput techniques and technologies that are recently used to study plant microbial interface for agricultural research and enhancing plant productivity. Plant microbiota are important for many plant growth promotion activity and agricultural productivity and are sustainable green technology for enhancing agricultural productivity under changing environment. The book covers recent information about the plant associated microbiota and their ecology. It discusses technologies to isolate and test microbiota inhabiting in different portion of plants. The book explores the conventional methods as well as the most recently recognized high throughput technologies which are important for productive agroecosystems to feed the growing global population. This book is of interest to teachers, researchers, microbiologist, plant and environmental scientist and those interested in environment stewardship around the world. Also the book serves as additional reading material for undergraduate and graduate students of agriculture, forestry, ecology, soil science, and environmental sciences and policy makers to be a useful to read.

Sustainable agriculture. --- Crop yields. --- Crops --- Field crops --- Yields, Crop --- Agricultural productivity --- Soil productivity --- Low-input agriculture --- Low-input sustainable agriculture --- Lower input agriculture --- Resource-efficient agriculture --- Sustainable farming --- Agriculture --- Alternative agriculture --- Yields --- Microbiology. --- Biotechnology. --- Microbial ecology. --- Environmental Microbiology. --- Environmental microbiology --- Microorganisms --- Ecology --- Microbiology --- Chemical engineering --- Genetic engineering --- Microbial biology --- Biology

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This book highlights the estimation of crop yield in Central Gujarat, especially with regard to the development of Multiple Regression Models and Principal Component Regression (PCR) models using climatological parameters as independent variables and crop yield as a dependent variable. It subsequently compares the multiple linear regression (MLR) and PCR results, and discusses the significance of PCR for crop yield estimation. In this context, the book also covers Principal Component Analysis (PCA), a statistical procedure used to reduce a number of correlated variables into a smaller number of uncorrelated variables called principal components (PC). This book will be helpful to the students and researchers, starting their works on climate and agriculture, mainly focussing on estimation models. The flow of chapters takes the readers in a smooth path, in understanding climate and weather and impact of climate change, and gradually proceeds towards downscaling techniques and then finally towards development of principal component regression models and applying the same for the crop yield estimation.

Civil Engineering --- Applied Mathematics --- Engineering & Applied Sciences --- Civil & Environmental Engineering --- Agriculture --- Crop yields. --- Climatic changes. --- Crops and climate. --- Environmental aspects. --- Agricultural climatology --- Agroclimatology --- Climate and crops --- Crop micrometeorology --- Crops --- Plant biometeorology --- Changes, Climatic --- Climate change --- Climate changes --- Climate variations --- Climatic change --- Climatic changes --- Climatic fluctuations --- Climatic variations --- Global climate changes --- Global climatic changes --- Field crops --- Yields, Crop --- Climatic factors --- Environmental aspects --- Yields --- Agricultural ecology --- Bioclimatology --- Climatology --- Climate change mitigation --- Teleconnections (Climatology) --- Agricultural productivity --- Soil productivity --- Environmental protection --- Changes in climate --- Climate change science --- Engineering mathematics. --- Mathematical statistics. --- Environmental sciences. --- Agriculture. --- Mathematical and Computational Engineering. --- Climate Change/Climate Change Impacts. --- Statistical Theory and Methods. --- Math. Appl. in Environmental Science. --- Water Policy/Water Governance/Water Management. --- Farming --- Husbandry --- Industrial arts --- Life sciences --- Food supply --- Land use, Rural --- Environmental science --- Science --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Engineering --- Engineering analysis --- Mathematical analysis --- Statistical methods --- Applied mathematics. --- Climate change. --- Statistics . --- Environmental management. --- Environmental stewardship --- Stewardship, Environmental --- Environmental sciences --- Management --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Global environmental change