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1.
J Sci Food Agric ; 102(1): 330-340, 2022 Jan 15.
Article in English | MEDLINE | ID: mdl-34097746

ABSTRACT

BACKGROUND: The natural abundance of stable isotope 15 N (δ15 N) in production systems has emerged as an alternative to distinguish organic products from conventional ones. This study evaluated the use of δ15 N values recorded for nitrogen fertilizers, soil and plant tissue in order to set the differences between organic and conventional agricultural production systems applied to rice, potatoes, apple and banana crops. RESULTS: Values of δ15 N recorded for N sources ranged from +5.58‰ to +18.27‰ and from -3.55‰ to +3.19‰ in organic and synthetic fertilizers, respectively. Values recorded for δ15 N in food from organic rice, potatoes and banana farms were higher than values recorded for δ15 N in conventional farms; the same was observed for values recorded for δ15 N in leaves from the four crops. CONCLUSION: Results have allowed for differentiation between production systems due to values of δ15 N recorded in leaves of all crops and food, for rice, potatoes and banana trees. © 2021 Society of Chemical Industry.


Subject(s)
Food, Organic/analysis , Food, Organic/standards , Nitrogen Isotopes/analysis , Certification , Food Quality , Malus/chemistry , Musa/chemistry , Oryza/chemistry , Solanum tuberosum/chemistry
2.
J Sci Food Agric ; 101(14): 5938-5947, 2021 Nov.
Article in English | MEDLINE | ID: mdl-33840131

ABSTRACT

BACKGROUND: The combination of near-infrared (NIR) spectroscopy and chemometrics can be used to group or discriminate soils based on spectral response. In this study, we conducted discrimination and classification analyses on soils managed with different sources of fertilization and plant species grown in organic and conventional farming systems. RESULTS: Principal component analysis explained 96% (PC1) and 3% (PC2) of the data variability and separated the soil samples of organic and conventional management systems. The wavenumbers that contributed most to the separation of the management systems were in the range of 3600 and 7300 cm-1 , especially the absorption peaks of 3700 and 4600 cm-1 (characteristic of CH and NH combinations), and 5200 and 7000 cm-1 (typical of OH combinations). Machine learning analysis using k-nearest neighbor and random forest algorithms was efficient in classifying soil samples according to management system with an accuracy of 97.8% and can therefore be used for future classification studies. CONCLUSION: Based on the results, we strongly recommend the use of NIR spectroscopy associated with chemometrics for discriminating soils grown with Malus domestica, Musa spp., Oryza sativa and Solanum tuberosum L. under organic and conventional management systems through spectral response. © 2021 Society of Chemical Industry.


Subject(s)
Fertilizers/analysis , Soil/chemistry , Spectroscopy, Near-Infrared/methods , Agriculture , Algorithms , Crops, Agricultural/growth & development , Discriminant Analysis , Principal Component Analysis
3.
Ciênc. rural ; 45(4): 651-657, 04/2015. tab, graf
Article in Portuguese | LILACS | ID: lil-742815

ABSTRACT

A aplicação de composto orgânico no solo pode incrementar a produção de pêssego, porém parte do N pode ser perdido por lixiviação e volatilização. O trabalho objetivou avaliar o estado nutricional das plantas, a produção de pêssego, a lixiviação de formas de N no solo e a volatilização de N-NH3 em um pomar de pessegueiro com a adição de composto orgânico produzido a partir de resíduos de agroindústrias de suco, resíduos de abatedouro de aves e serragem. O pomar foi implantado em 2009 e, em julho de 2010, 2011 e 2012, foram aplicados 0, 3, 6, 12 e 24L de composto por m2 e avaliaram-se os teores totais de nutrientes nas folhas e a produção. Em 2012, usando lisímetros instalados a 20 e a 40cm de profundidade, avaliaram-se as formas de N lixiviadas na solução percolada nos tratamentos 0 e 24L de composto. Usando câmeras coletoras, foi avaliada a volatilização de N-NH3 em todos os tratamentos até 478h depois da deposição do composto no solo. A aplicação de composto na superfície do solo incrementou o teor de K e N nas folhas completas, aumentando a produção de frutos. A aplicação de composto no florescimento aumentou a concentração de nitrato na solução do solo, somente na profundidade de 20cm. A emissão de amônia aumentou com o incremento da dose de composto aplicado, especialmente e nos períodos de maior temperatura.


The application of organic compost to the soil can increase the production of peach, although part of the N may be lost by leaching and volatilization. The aim of this study was to evaluate the nutritional status, yield of peaches, leaching of N forms and volatilization of NH3-N in a peach orchard with the addition of compost produced from agroindustrial juice waste, poultry slaughterhouse residues and sawdust. The orchard was established in 2009, and in july 2010, 2011 and 2012 the quantities of 0, 3, 6, 12 and 24L of organic compost per m2 were applied on a peach orchard and the total nutrient content in leaves and production was evaluated. In 2012, using lysimeters installed at 20 and 40cm deep in the soil, it was measured the forms of N in the solution in the treatments of 0 and 24L of compost. The volatilization of NH3-N was assessed in all the treatments up to 478h after compost application on the soil. The application of compost on the soil surface increased the content of K and N in whole leaves, increasing fruit production. The compost application at flowering increased the concentration of nitrate in the soil solution at a depth of only 20cm. The ammonia emission increased especially with the augmenting dose of compost applied, and in periods of higher temperature.

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