Developing the EU Farm Accountancy Data Network to derive indicators around the sustainable use of nitrogen and phosphorus at farm level

Buckley, Cathal; Wall, David P.; Moran, Brian; Murphy, Paul

doi:10.1007/s10705-015-9702-9

Cited by 41 publications

(24 citation statements)

References 40 publications

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“…P-use efficiency is the dry biomass produced per unit of P uptake [42]. It is well known that both P uptake and utilization are important for high P-use efficiency [43]. Usually, under high P concentrations, the uptake efficiency is high, but the utilization efficiency is low [44].…”

Section: Variation and Classification Of Cotton Genotypes For P Use Ementioning

confidence: 99%

Genotypic Variation in Cotton Genotypes for Phosphorus-Use Efficiency

et al. 2019

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Low phosphorus (P) availability is a major constraint for cotton production. Consequently, P-efficient genotypes can improve productivity under conditions where the higher application of P is not economical. This study was conducted to characterize cotton genotypes for P-use efficiency under various P concentrations (0, 10, 20, 40, 80, and 500 μM KH2PO4). The results showed large genotypic variation in five selected traits, such as root dry weight, shoot dry weight, photosynthetic activity, P-utilization efficiency, and P-uptake efficiency. Based on these five selected traits, the genotypes were grouped into three main classes as efficient, moderate efficient, and inefficient genotypes as proposed by different researchers. Most of the genotypes behaved in a similar pattern under different P concentrations. Among the genotypes, Xinluzao-49 and Xinluzao-48 were considered as P efficient while CCRI-64 and Yumian-21 as inefficient genotypes. However, the rest of the genotypes were considered as moderately P efficient. The results prove that a large genetic potential exists in cotton genotypes for P-use efficiency, and the use of P-efficient genotypes for cultivation will reduce the application of phosphatic fertilizers. Furthermore, the use of P-efficient genotypes will improve cotton breeding activities and help in improving the environmental sustainability of cotton production.

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Section: Variation and Classification Of Cotton Genotypes For P Use Ementioning

confidence: 99%

Genotypic Variation in Cotton Genotypes for Phosphorus-Use Efficiency

et al. 2019

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“…To overcome the challenges mentioned in section IV, agronomic benchmarking is necessary as a reference. Benchmarking on the use of nutrients on the field exists today as a compliance/regulation in some countries for accountability [17]. Similarly, an economic benchmarking on crop productivity and health is needed to compare the benefits of a fully-integrated system against conventional farm practices.…”

Section: Agronomic Benchmarking and Sensor Standardizationmentioning

confidence: 99%

Closed loop process control for precision farming: An Agriculture 4.0 perspective

Katamreddy

Walsh

Ward

et al. 2019

2019 30th Irish Signals and Systems Conference (ISSC)

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The emergence of advanced technologies has helped in solving specific problems in agriculture. In many sectors, interoperability of new technologies has helped in solving much bigger problems on a large scale and has eventually led to widespread automation, but this automation wouldn't have been possible without openness in communication protocols. These standard protocols have evolved over time to cater to industry needs, from partial to fully automated manufacturing processes. The overall system obtained by the integration of these technologies for automated process control and management is commonly referred to as Industry 4.0. This paper discusses the protocols and technologies used in precision farming analogous to Industry 4.0. This paper also addresses the gaps to fill by exploring the technologies and standards and by proposing a unified architecture. It is hoped that addressing these gaps will help to create a solution for fully automated process control in an Agriculture 4.0 perspective and race towards more advanced Agriculture 5.0.

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“…They stated that FADN could provide data to evaluate some aspects of farm environmental performance across many countries and access changes over time. Buckley et al [13], based on FADN, applied a micro-level methodological approach to develop N and P sustainability indicators across a range of farm systems in the Republic of Ireland. Corson et al [14] used FADN data to estimate emission inventories of French farms.…”

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confidence: 99%

Assessing Greenhouse Gas Emissions from Conventional Farms Based on the Farm Accountancy Data Network

Syp

Osuch

2018

Pol. J. Environ. Stud.

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The agricultural sector in Poland accounted for 8% of the country's total greenhouse gas (GHG) emissions in 2014 [1]. It was the second largest source after the energy sector (81.3%) [1]. From 1988 to 2014 in Poland, GHG emissions from agriculture have decreased by 36%, whereas in the European Union (EU) the decrease has been 24% since 1990 [1-2]. The reduction of GHG emissions from agriculture was a consequence of implementing the following EU policies: Nitrate, Landfill Waste, and Renewable Energy Directives (RED), and the

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Developing the EU Farm Accountancy Data Network to derive indicators around the sustainable use of nitrogen and phosphorus at farm level

Cited by 41 publications

References 40 publications

Genotypic Variation in Cotton Genotypes for Phosphorus-Use Efficiency

Genotypic Variation in Cotton Genotypes for Phosphorus-Use Efficiency

Closed loop process control for precision farming: An Agriculture 4.0 perspective

Assessing Greenhouse Gas Emissions from Conventional Farms Based on the Farm Accountancy Data Network

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