Mulching in fruit and vegetable crop production under rainfed conditions: A review

Представлены результаты работы селекционеров Западно-Сибирской ООС – филиала ФГБНУ ФНЦО по культуре лука алтайского. Из 18 образцов были выделены перспективные, из которых в 2008 году отобран образец № 11. Дальнейший клоновый отбор позволил отобрать образец № 61/98, который по ряду показателей превосходит районированный сорт. В 2017 году этот образец передан на испытание в ГСИ, как сорт Виктор.The accomplishments of the plant breeders of the West Siberian Vegetable Experimental Station, the Branch of the Federal Scientific Centre of Vegetable Crop Production, regarding Altai onion cultivation are discussed. Eighteen candidate varieties were examined, promising ones were selected, and the candidate variety No. 11 was selected in 2008. Further clone selection made it possible to select the candidate variety No. 61/98 which exceeded the released variety in terms of a number of indices. In 2017, this candidate variety was submitted for State Variety Testing as Viktor variety.

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COMPOST UTILIZATION IN VEGETABLE CROP PRODUCTION SYSTEMS

Acta Horticulturae ◽

10.17660/actahortic.2003.607.18 ◽

2003 ◽

pp. 125-128

Author(s):

P.J. Stoffella ◽

M. Ozores-Hampton ◽

N.E. Roe ◽

Y. Li ◽

T.A. Obreza

Keyword(s):

Crop Production ◽

Production Systems ◽

Vegetable Crop

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Plant-Growth-Promoting Rhizobacteria Emerging as an Effective Bioinoculant to Improve the Growth, Production and Stress Tolerance of Vegetable Crops

International Journal of Molecular Sciences ◽

10.3390/ijms222212245 ◽

2021 ◽

Vol 22 (22) ◽

pp. 12245

Author(s):

Manoj Kumar ◽

Ved Prakash Giri ◽

Shipra Pandey ◽

Anmol Gupta ◽

Manish Kumar Patel ◽

...

Keyword(s):

Plant Growth ◽

Crop Production ◽

Insect Pests ◽

Vegetable Consumption ◽

Plant Growth Promoting Rhizobacteria ◽

Vegetable Crops ◽

Vegetable Crop ◽

Plant Growth Promoting ◽

Growth Promoting

Vegetable cultivation is a promising economic activity, and vegetable consumption is important for human health due to the high nutritional content of vegetables. Vegetables are rich in vitamins, minerals, dietary fiber, and several phytochemical compounds. However, the production of vegetables is insufficient to meet the demand of the ever-increasing population. Plant-growth-promoting rhizobacteria (PGPR) facilitate the growth and production of vegetable crops by acquiring nutrients, producing phytohormones, and protecting them from various detrimental effects. In this review, we highlight well-developed and cutting-edge findings focusing on the role of a PGPR-based bioinoculant formulation in enhancing vegetable crop production. We also discuss the role of PGPR in promoting vegetable crop growth and resisting the adverse effects arising from various abiotic (drought, salinity, heat, heavy metals) and biotic (fungi, bacteria, nematodes, and insect pests) stresses.

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A Linear Optimization Approach for Increasing Sustainability in Vegetable Crop Production

Computational Methods for Agricultural Research ◽

10.4018/978-1-61692-871-1.ch012 ◽

2011 ◽

pp. 234-265 ◽

Cited By ~ 1

Author(s):

Lana dos Santos ◽

Marcos Arenales ◽

Alysson Costa ◽

Ricardo Santos

Keyword(s):

Crop Rotation ◽

Crop Production ◽

Optimization Problems ◽

Linear Optimization ◽

Future Research ◽

Optimization Approach ◽

Vegetable Crops ◽

Vegetable Crop ◽

Modeling Framework ◽

Ecological Criteria

This chapter is concerned with a set of optimization problems associated to crop rotation scheduling in the context of vegetable crop production according to some ecological criteria: no crop of the same botanic family is planted in sequence, green manure and fallow periods must be present in any schedule. A core mathematical model called the crop rotation scheduling model is proposed to represent these ecological criteria together with specific technical constraints associated to the growing of vegetable crops. Three optimization problems based on crop rotation schedules are written in detail in this chapter. For each problem, the authors present a general modeling framework and a solution methodology based on a technique known as column generation, which iteratively builds crop rotation plans for a number of plots. Some extensions are also presented, with the aim of incorporating additional characteristics found in production field conditions. This chapter ends with a brief discussion on a set of computational experiments and some suggestions for future research.

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Multiresidue Method for N-Methyl Carbamates and Metabolite Pesticide Residues at the Parts-per-Billion Level in Selected Representative Commodities of Fruit and Vegetable Crop Groups

Journal of AOAC International ◽

10.1093/jaoac/87.5.1237 ◽

2004 ◽

Vol 87 (5) ◽

pp. 1237-1251 ◽

Cited By ~ 7

Author(s):

Lynda V Podhorniak ◽

Frank J Schenck ◽

Alexander Krynitsky ◽

Francis Griffith ◽

Francis Griffith

Keyword(s):

Environmental Protection Agency ◽

Solid Phase ◽

Reversed Phase ◽

Mass Spectrometric ◽

Fruit And Vegetable ◽

Vegetable Crop ◽

Additional Material ◽

Liquid Chromatograph ◽

Mass Spectrometric Detector

Abstract A reversed-phase liquid chromatographic method with both fluorescence and mass spectrometric detection is presented for the determination of 13 parent N-methyl carbamate pesticides and their metabolites, as well as piperonyl butoxide, for a total of 24 compounds in selected fruits and vegetables. The commodities chosen were of special concern to the U.S. Environmental Protection Agency (EPA) because they had the least amount of monitoring data for dietary exposure estimates used in risk assessment. The method is based on a judicious selection of procedures from U.S. Food and Drug Administration sources such as the Pesticide Analytical Manual (Volume I), and Laboratory Information Bulletins, plus additional material from the chemical literature combined in a manner to recover the N-methyl carbamates and their metabolites at the 1 μg/kg or 1 part-per-billion level. The method uses an acetone extraction, followed by an aminopropyl solid-phase extraction cleanup. Determination of residues is by RP-LC, in which the liquid chromatograph is interfaced with either a fluorescence or a mass spectrometric detector. The method is designed so that a set of 6 samples can be prepared in 1 working day for overnight instrumental analysis. Recovery data are presented from analyses of selected commodities in some of EPA's fruit and vegetable crop groupings. A table listing relative retention times is presented for the N-methyl carbamates and their metabolites.

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