scholarly journals BIOLOGICAL PECULIARITIES IN THE RESPONSIVENESS OF VEGETABLE CROP ROTATION TO PRECISION FERTILIZATION

2017 ◽  
Vol 52 (3) ◽  
pp. 454-463
Author(s):  
A.I. Ivanov ◽  
◽  
V.V. Lapa ◽  
A.A. Konashenkov ◽  
Zh.A. Ivanov ◽  
...  
2015 ◽  
Vol 103 (3) ◽  
pp. 279-292 ◽  
Author(s):  
Hong Ding ◽  
Shiqing Li ◽  
Yushu Zhang ◽  
Xiaoxia Hu ◽  
Xiangzhou Zheng ◽  
...  

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.


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.


2015 ◽  
Vol 245 (2) ◽  
pp. 581-590 ◽  
Author(s):  
Lana M.R. Santos ◽  
Pedro Munari ◽  
Alysson M. Costa ◽  
Ricardo H.S. Santos

2021 ◽  
Vol 843 (1) ◽  
pp. 012032
Author(s):  
N I Matveeva ◽  
V P Zvolinsky ◽  
N Yu Petrov ◽  
V A Zaitsev

Abstract Abstracts. The years of experiment were from 2016…2020 in a farm on the Ergenin Upland chestnut soils in Volgograd region. The experiments were placed in five fields of vegetable crop rotation with the total area of 165 ha. During the presented period, a competitive test was carried out to identify the most productive samples of onions. The objects of the study were samples -the zoned variety Volgodonets (control variety) of domestic selection, hybrids of foreign selection Pandero F1, Benefit F1, Valero F1, Manas F1. It was found that hybrids give more than twice the yield over the control variety in almost all the variants. But the most optimal and more productive in all cases proved to be option No. 2 hybrid Benefit F1 with the parameters: the seeding rate of 1,000,000 pcs of seeds per hectare with viability of 97.31%, which provided for harvesting 973,100 plants per hectare and achieved a yield of 143.41 t/ha on average for repetitions in 2020. Thus, we can conclude that the seeding rate is 1,000,000 pcs of seeds per hectare in the conditions of chestnut soils of the Ergenin Upland is optimal in the conditions of the existing agricultural technology.


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