scholarly journals UF/IFAS Standardized Nutrient Recommendations for Vegetable Crop Production in Florida

EDIS ◽  
2022 ◽  
Vol 2021 (6) ◽  
Author(s):  
Rao Mylavarapu ◽  
George Hochmuth ◽  
Guodong Liu

This publication presents the fertilization recommendations for vegetable crops based on soil tests performed by the UF/IFAS Extension Soil Testing Laboratory (ESTL). It contains the basic information from which ESTL soil test reports and fertilization recommendations are generated. The audiences for this information include commercial and small farmers, crop advisers and consultants, state and local agencies, fertilizer industry, and any interested individuals interested in sustainable nutrient and environmental management. Major revision by Rao Mylavarapu, George Hochmuth, and Guodong Liu; 12 pp. https://edis.ifas.ufl.edu/cv002

EDIS ◽  
2017 ◽  
Vol 2017 (6) ◽  
Author(s):  
Rao S. Mylavarapu ◽  
George J. Hochmuth ◽  
Guodong Liu

This publication presents the fertilization recommendations for vegetable crops based on soil tests performed by the IFAS Extension Soil Testing Laboratory (ESTL). It contains the basic information from which ESTL soil-test reports and fertilization recommendations are generated. Additional information on nutrient recommendations is presented in the Vegetable Production Handbook of Florida, 2017-2018. Similarly, IFAS Standardized Nutrient Recommendations for Agronomic Crops can be found in SL129 (Mylavarapu, 2015).  


EDIS ◽  
2008 ◽  
Vol 2008 (1) ◽  
Author(s):  
Rao Mylavarapu ◽  
David Wright ◽  
Gerald Kidder ◽  
C. G. Chambliss

SL-129, a 9-page fact sheet by R. Mylavarapu, D. Wright, G. Kidder, and C. G. Chambliss, presents in abbreviated form the fertilization recommendations for agronomic crops based on soil tests performed by the UF/IFAS Extension Soil Testing Laboratory (ESTL). It contains the basic information from which ESTL soil-test reports and fertilization recommendations are generated. Published by the UF Department of Soil and Water Sciences, June 2007. SL129/SS163: UF/IFAS Standardized Fertilization Recommendations for Agronomic Crops (ufl.edu)


EDIS ◽  
2021 ◽  
Vol 2021 (5) ◽  
Author(s):  
Rao Mylavarapu ◽  
David Wright ◽  
Gerald Kidder

This publication presents in abbreviated form the fertilization recommendations for agronomic crops based on soil tests performed by the UF/IFAS Extension Soil Testing Laboratory (ESTL). It contains the basic information from which ESTL soil-test reports and fertilization recommendations are generated.


2021 ◽  
Vol 22 (22) ◽  
pp. 12245
Author(s):  
Manoj Kumar ◽  
Ved Prakash Giri ◽  
Shipra Pandey ◽  
Anmol Gupta ◽  
Manish Kumar Patel ◽  
...  

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.


2018 ◽  
Vol 4 (10) ◽  
pp. 5
Author(s):  
Smriti Singhatiya ◽  
Dr. Shivnath Ghosh

Now-a-days there is a need to study the nutrient status in lower horizons of the soil. Soil testing has played historical role in evaluating soil fertility maintenance and in sustainable agriculture. Soil testing shall also play its crucial role in precision agriculture. At present there is a need to develop basic inventory as per soil test basis and necessary information has to be built into the system for translating the results of soil test to achieve the crop production goal in new era. To achieve this goal artificial intelligence approach is used for predicting the soil properties.  In this paper for analysing these properties support vector regression (SVR), ensembled regression (ER) and neural network (NN) are used. The performance is evaluated with respect to MSE and RMSE and it is observed that ER outperforms better with respect to SVR and NN.


Author(s):  
Lana dos Santos ◽  
Marcos Arenales ◽  
Alysson Costa ◽  
Ricardo Santos

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.


EDIS ◽  
2009 ◽  
Vol 2009 (2) ◽  
Author(s):  
Rao Mylavarapu ◽  
William D'Angelo ◽  
Nancy Wilkinson

Revised! SL-135, a 2-page illustrated fact sheet by Rao S. Mylavarapu, William d'Angelo, and Nancy Wilkinson, is the Producer Soil Test Form used by the UF/IFAS Extension Soil Testing Laboratory. The sheet gives details about collecting samples and testing fees. Published by the UF Department of Soil and Water Sciences, February 2009. SL135/SS186: Producer Soil Test Form (ufl.edu)


EDIS ◽  
2007 ◽  
Vol 2007 (19) ◽  
Author(s):  
Rao S. Mylavarapu ◽  
William d'Angelo ◽  
Nancy Wilkinson

Revised! SL-135, a 2-page form for the UF/IFAS Extension Soil Testing Laboratory, must accompany soil samples submitted to the UF/IFAS Extension Soil Testing Laboratory by Florida agricultural producers. Includes important information for sample collection and submission, and crop and analysis codes. Published by the UF Department of Soil and Water Science, August 2007. SL135/SS186: Producer Soil Test Form (ufl.edu)


EDIS ◽  
2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Rao Mylavarapu ◽  
Yuncong Li ◽  
Maria Silveira ◽  
Cheryl Mackowiak ◽  
J. Mabry McCray

This new 6-page publication of the UF/IFAS Department of Soil and Water Sciences is intended to address agronomic and environmental issues related to phosphorus (P) dynamics in Florida agricultural soils and soil test P interpretation and management for agricultural crops. This document aims to provide science-based information to agricultural clientele, including commercial producers, small farmers, Extension agents, crop consultants, landscape professionals, representatives of the fertilizer industry, state and local agencies, students and instructors of high schools and colleges, researchers, and interested Florida citizens. Written by Rao Mylavarapu, Yuncong Li, Maria Silveira, Cheryl Mackowiak, and Mabry McCray.https://edis.ifas.ufl.edu/ss699


2011 ◽  
pp. 236-267
Author(s):  
Lana dos Santos ◽  
Marcos Arenales ◽  
Alysson Costa ◽  
Ricardo Santos

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.


Sign in / Sign up

Export Citation Format

Share Document