Research

Research

The ‘Research’ category on iGrow News is an essential segment that delves into cutting-edge studies, experiments, and findings in the realm of agricultural technology. This category is specially curated to provide readers with an in-depth look at the latest scientific research and developments that are driving innovation in the agricultural sector.

Central to this category is the coverage of groundbreaking studies and experiments in agriculture technology. This includes research on advanced farming techniques, crop genetics, soil science, and sustainable agriculture practices. The category highlights how these studies contribute to enhancing crop productivity, improving environmental sustainability, and addressing global food security challenges.

Innovations in agricultural technology are a key focus of the ‘Research’ category. It features insights into the development of new technologies such as precision agriculture tools, biotechnological advancements, and climate-resilient farming practices. The category examines how these technologies are tested and refined through scientific research, demonstrating their potential to transform agricultural practices.

The category also explores the findings from various research initiatives. This includes analysis of data from field trials, laboratory experiments, and case studies. By presenting these findings, the ‘Research’ category aims to inform and educate its readers on the efficacy, benefits, and potential drawbacks of different agricultural technologies and practices.

By offering a comprehensive overview of the latest research in agricultural technology, the category serves as a valuable resource for farmers, agronomists, researchers, and policy makers. It aims to foster a deeper understanding of the scientific advancements in agriculture and their practical applications, thus contributing to the advancement of the agricultural sector.

Comprehensive SOC Dataset Sheds Light on Cropping Practices and Policy Development in Southeast Asia

The study by Gomez et al. (2024) introduces an open dataset on soil organic carbon (SOC) under various cropping systems in Southeast Asia, based on a systematic literature search.

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Enhancing Rainwater Utilization in Arid Regions: A Study on the Loess Plateau

The Rainwater Harvesting and Mulching system significantly enhances soil water storage in rain-fed orchards, making it more effective.

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Advancing African Yam Bean Cultivation: Insights from Viral Resistance Research

The African yam bean (AYB), a legume native to Africa, remains underutilized despite its nutritional benefits.

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Assessing the Impact of Climate Change on Pierce’s Disease in European Vineyards

Climate projections indicate a significant rise in the risk of Pierce's disease (PD) in European vineyards if global temperatures increase beyond 2 degrees Celsius.

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Tackling Tropical Deforestation: New Insights into Agricultural Expansion and Governance

Deforestation in tropical regions presents a complex global issue, exacerbating carbon emissions and biodiversity loss.

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Asian Soybean Rust: Breakthrough Discovery

Researchers have identified a gene pair, Rpp6907-7, and Rpp6907-4, in the Chinese soybean landrace SX6907 that confers resistance to Asian soybean rust (ASR).

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Innovative Nanoparticle Fertilizer Reduces Greenhouse Gases While Boosting Rice Yields

Iron oxide nanoparticles (FeONPs) significantly reduce methane and nitrous oxide emissions by 50% while increasing soil carbon sequestration by 7.4%.

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Wheat Stripe Rust Resistance: Study Looks At Genetic Resistance

New evidence suggests that YrNAM, not the previously thought Yr10CG, is the actual gene providing resistance against wheat stripe rust.

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Wageningen University & Research Latest News: AGROS Project Concludes with Insights for a Sustainable Future in Agriculture

The AGROS closing event will showcase sustainable agricultural technologies at WUR on April 24 where results will be presented.

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Agricultural Water Management: Remote Sensing and Machine Learning’s Role in Sustainable Irrigation

Remote sensing and machine learning have provided new methods to measure crop water consumption at the field scale, addressing previous gaps.

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