ABSTRACT
This paper presents the evaluation results of the yield target setting precision of the revised MOET App (v.2.0), following the inclusion of the correction factors generated from rice biomass correlations between MOET and nutrient omission plot setups obtained from 2017 to 2018. The project started with trainings on MOET kit and MOET App use for the seed production personnel across PhilRice stations in Nueva Ecija, Negros, Bukidnon and Agusan in 2018 DS. Included in the trainings were the establishment of MOET kit tests and generation of variety- and site-specific recommendations via the MOET App for several nationally or regionally recommended varieties (NSIC Rc 122, 160, 216, 218, 222, 238, 286, 300, 358, 402, 436, 440, 442, 480, PSB Rc18 and PSB Rc82) that each PhilRice station intended to produce in the succeeding 4 cropping periods from 2019 to 2020. Relative yield advantages and economic benefits from using the MOET App fertilizer recommendations over PhilRice' current fertilizer management in seed production per station were monitored every cropping while the precision evaluation of yield target setting was done after the last cropping of 2020 WS. In 2019, relative yield advantages averaged 0.43t ha-1 in DS and 0.25t ha-1 in WS. In 2020 DS, an average relative yield advantage of 0.63t ha-1 was obtained across stations and 0.93t ha-1 in 2020 WS in Nueva Ecija only due to travel restrictions brought about by the COVID-19 pandemic. Economic benefits of using the MOET App showed an average of 0.50t ha-1 and 0.65t ha-1 yield increase over the seed production units' fertilizer management in DS and WS, respectively. While savings in fertilizer cost were better realized during the WS at an average of Php 4,126.34 ha-1 season-1 across stations. Results of the precision evaluation of the yield target showed marked improvements with a 95.24% probability of achieving 17% higher grain yields than the target set by MOET App v.2.0. However, the overall normalized Root Mean Square Error (nRMSE) of 38.14% exceeded the range for a fairly acceptable fit with the model due to large gaps between target and actual yields obtained from DS field trials.
ABSTRACT
Of late, global food security has been under threat by the coronavirus disease 2019 (COVID-19) pandemic and the recent military conflict in Eastern Europe. This article presents the objectives of the Sustainable Development Goals and the European Green Deal related to achieving food security and sustainable development in European Union (EU) agriculture, taking the aforementioned threats into account. In addition, it discusses the future of plant agricultural biotechnology and artificial intelligence (AI) systems, considering their potential for reaching the goal of food security. Paradoxically, the present challenging situation may allow politicians and stakeholders of the EU to realize opportunities and use the potential of the biotechnology sector.
Subject(s)
Artificial Intelligence , COVID-19 , Humans , Food Supply , COVID-19/epidemiology , Biotechnology , Agriculture , Food SecurityABSTRACT
Despite the dramatic increase in food production thanks to the Green Revolution, hunger is increasing among human populations around the world, affecting one in nine people. The negative environmental and social consequences of industrial monocrop agriculture is becoming evident, particularly in the contexts of greenhouse gas emissions and the increased frequency and impact of zoonotic disease emergence, including the ongoing COVID-19 pandemic. Human activity has altered 70-75% of the ice-free Earth's surface, squeezing nature and wildlife into a corner. To prevent, halt, and reverse the degradation of ecosystems worldwide, the UN has launched a Decade of Ecosystem Restoration. In this context, this review describes the origin and diversity of cultivated species, the impact of modern agriculture and other human activities on plant genetic resources, and approaches to conserve and use them to increase food diversity and production with specific examples of the use of crop wild relatives for breeding climate-resilient cultivars that require less chemical and mechanical input. The need to better coordinate in situ conservation efforts with increased funding has been highlighted. We emphasise the need to strengthen the genebank infrastructure, enabling the use of modern biotechnological tools to help in genotyping and characterising accessions plus advanced ex situ conservation methods, identifying gaps in collections, developing core collections, and linking data with international databases. Crop and variety diversification and minimising tillage and other field practices through the development and introduction of herbaceous perennial crops is proposed as an alternative regenerative food system for higher carbon sequestration, sustaining economic benefits for growers, whilst also providing social and environmental benefits.