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R325 - Effect of Different Rate of Azotobacter ... - Agrisciences.com
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<strong>Effect</strong> <strong>of</strong> <strong>Different</strong> <strong>Rate</strong>s <strong>of</strong> <strong>Azotobacter</strong> and Frequency<br />
<strong>of</strong> Application <strong>of</strong> Agrispon on Yield and Quality in the<br />
Growing <strong>of</strong> Onion (Allium cepa L.) in Cajamarca<br />
THESIS<br />
(As a requirement) To Obtain the Pr<strong>of</strong>essional Title <strong>of</strong>:<br />
AGRICULTURAL ENGINEER<br />
Presented by Bachelor<br />
Gloria González Zeña<br />
Cajamarca–Peru 1986<br />
National University <strong>of</strong> Cajamarca Facility <strong>of</strong> Agricultural Sciences and Forestry<br />
SPECIALTY OF AGRICULTURE<br />
TRANSLATED FROM SPANISH BY COMPUTER<br />
<strong>R325</strong> 4/05/02
INDEX<br />
I<br />
II<br />
III<br />
IV<br />
V<br />
VI<br />
VII<br />
VIII<br />
INTRODUCTION<br />
REVIEW OF LITERATURE<br />
MATERIALS AND METHODS<br />
RESULTS AND DISCUSSIONS<br />
CONCLUSIONS<br />
SUMMARY<br />
BIBLIOGRAPHY<br />
APPENDIX<br />
ii
CHAPTER I<br />
INTRODUCTION<br />
Vegetables are grown for their sources <strong>of</strong> high quality nutriments, their short growth period, quick assimilation and<br />
better use <strong>of</strong> soil. Uses exist in various species that take advantage <strong>of</strong> their leaves, stalks, bulbs, fruits, and flowers.<br />
One <strong>of</strong> the most important vegetables due to in<strong>com</strong>e and their great popularity in consumption is the onion (Allium<br />
cepa) which contributes to dietary nutrients, vitamins (A, B, C), proteins, minerals, and carbohydrates.<br />
However, to raise the yield per area, one faces a series <strong>of</strong> problems: acquisition <strong>of</strong> certified seed; availability <strong>of</strong><br />
chemical fertilizers, fungicides, insecticides, and herbicides, which causes the production costs to be too high. An<br />
alternative solution to these problems would be to diminish or to avoid the use <strong>of</strong> synthetic fertilizers; which is the<br />
reason for the present investigation on the utilization <strong>of</strong> certain bacteria that are nitrogen fixers. One <strong>of</strong> these<br />
bacteria, the <strong>Azotobacter</strong> spp.,a symbiotic aerobic bacteria, works in diverse cultivations such as potato, carrot<br />
wheat, etc. and has obtained satisfactory results.<br />
Likewise, biostimulants exist that hasten assimilation and increase conservation and are used as a <strong>com</strong>plement in<br />
order to obtain an increase in yield weight and quality.<br />
Having considered aforementioned, it was decided to initiate the present work with the following objectives:<br />
1. Determine the effect <strong>of</strong> three rates <strong>of</strong> <strong>Azotobacter</strong> spp. on the yield and quality.<br />
2. Determine the effect <strong>of</strong> Agrispon on the yield and quality.<br />
3. Determine the interaction <strong>of</strong> <strong>Azotobacter</strong>-Agrispon.<br />
4. To carry out an economic study <strong>of</strong> the treatments.<br />
CHAPTER II<br />
REVIEW OF LITERATURE<br />
The cultivated onion originated in the South West portion <strong>of</strong> Asia. It was known in Egypt in 3,000 B. C., and is not<br />
found in its wild state (CÁCERES, E. 1982).<br />
It is a monocodaledan, biannual species, cultivated as an annual, with a short fibrous root <strong>of</strong> white color, short and<br />
fasculated reduced to a conical disk at the base <strong>of</strong> the plant, in vegetative state, that reaches heights <strong>of</strong> 1-1.5 m.<br />
Leaves consist <strong>of</strong> two parts; veined and sheathed, these are attached to the base <strong>of</strong> the area with foliate veining<br />
concentrically aligned, which constitute most <strong>of</strong> the fleshy bulb and skin, the inferior part <strong>of</strong> each sheath is a thin<br />
tube that form the neck <strong>of</strong> the bulb, flowers gathered in an inflorescence <strong>com</strong>pact type umbrella (MESSIAEN, C.<br />
1979) (TISCORNIA R. 1974). The bulb contains crystallized sugar that gives a sweet flavor and a volatile oil <strong>of</strong><br />
intense scent that will cause the tear ducts excite (TAMARO, D. 1977).<br />
1
Table 1. Chemical Composition <strong>of</strong> Onion (100g fresh product)<br />
Determination<br />
Unit<br />
Water and cellulose 86.10%<br />
Calcium<br />
0.34 mg<br />
Potassium<br />
0.17 mg<br />
Sodium<br />
0.016 mg<br />
Phosphorus<br />
0.045 mg<br />
Chlorine<br />
0.021 mg<br />
Sulfate<br />
0.07 mg<br />
Proteins 1.60%<br />
Fat 0.50%<br />
Hydrates <strong>of</strong> Carbon 11.60%<br />
It also contains a large amount <strong>of</strong> vitamin A, and a satisfactory quantity <strong>of</strong> both vitamin B and C. Their energy<br />
value is 0.45 calories per gram (TISCORNIA, R. 1974).<br />
The onion requires a temperate warm climate for its development, but the ideal condition is cool temperatures in the<br />
initial phase <strong>of</strong> development and warm toward maturity. Good temperatures are considered to be from 12° to 24°C<br />
(CÁCERES E. 1982). Thusly it is considered that the best growth <strong>of</strong> the cultivation is obtained with temperatures<br />
around 16° to 18°C, also, in temperate climates they need temperatures above 20°C to form bulbs (MESSIAEN, C.<br />
1979).<br />
The cultivation is affected strongly by day length and length <strong>of</strong> photo-period. Some varieties grown in temperate<br />
areas don't develop bulbs <strong>com</strong>pletely in tropical areas, or even in subtropical areas; they are very developed<br />
vegetatively but need days with 15 hours <strong>of</strong> sun light for bulb development (MORTENSEN, E. 1967).<br />
The most desirable soils are calcareous, sandy, loose and aerated; in tight soils small, non-<strong>com</strong>mercial bulbs are<br />
developed; onions don't tolerate soil already low in organic matter or purin (TAMARO, D. 1977).<br />
Checking results <strong>of</strong> the application <strong>of</strong> fertilizer nitrogen (75 kg/ha) shows a statistically superiority to control<br />
treatment (00 kg/ha), in that yields <strong>of</strong> 45,708 kg/ha and 30,312 kg/ha <strong>of</strong> onions were achieved in Red Arequipeña<br />
onions (SILVA, A. 1982).<br />
Likewise, using the same variety as control, a yield <strong>of</strong> 7,271 kg/ha was obtained, bulb diameter averaged 6.66 cm,<br />
and a high statistical significance (95 and 99%) existed among characteristic <strong>of</strong> diameter <strong>of</strong> bulb vs. yield (RED, C.<br />
1977).<br />
For nitrogen incorporation into the soil, one <strong>of</strong> the most important microorganisms is the aerobic bacteria<br />
<strong>Azotobacter</strong>, discovered by the Dutch microbiologist Beijerinck, which are characterized as heterotrophic.<br />
(BONNER, J, 1973), (BURGES, J.)<br />
In the mature state, the bacteria are an oval shape, which may be for accumulation <strong>of</strong> big globules <strong>of</strong> fat. Most have<br />
a more or less rigid membrane that represents 20-25% <strong>of</strong> the dry matter <strong>of</strong> the microorganism; some <strong>of</strong> the<br />
membranes seem to be formed mainly by lipoproteins, in others by mucoproteins. Free living organisms prefer<br />
rizospheres <strong>of</strong> well-aerated soils; they feed on organic <strong>com</strong>pounds synthesized by autotrophic organisms and<br />
healthy plants (BURGES, A. 1971), (BURDON, K. 1971).<br />
These bacteria use and oxidize organic matter: they spend energy in part liberated in the process <strong>of</strong> substratum<br />
oxidation in the processes <strong>of</strong> nitrogen reduction (BONNER, J. 1973); they take nitrogen directly from the air which<br />
<strong>com</strong>bines inside the cellular plasma which is liberated in the form <strong>of</strong> nitrates (BURDON K. 1971). Neither starch<br />
nor the other polysaccharides are used. It grows well in the presence <strong>of</strong> nitrogen generating substances like nitrates,<br />
ammonium salts or urea, but if these substances are abundant, they don't fix atmospheric nitrogen (JAMES. W.<br />
1967).<br />
2
<strong>Azotobacter</strong> also enriches the soil with another necessary element, phosphorus. Whereas the polysaccharides <strong>of</strong> the<br />
bacteria seem to play the most important roll in the formation <strong>of</strong> the structure <strong>of</strong> the soil, especially in degrumos<br />
formation: the most appropriate pH for the development <strong>of</strong> the bacteria is 7 to 8, the lower limit is 6. There are a<br />
few bacteria that exist in lower pH such as the genus Beijerinckia that produce acids in the cultivations, tolerating<br />
pH as low as 3.5, these forms are “acid resistant" (BURDON, K. 1971), (MILLAR, C. 1964), (BURGES, A. 1971).<br />
These bacteria are found in the soil and after isolation they multiply in laboratory by two means <strong>of</strong> growth, one solid<br />
and another liquid. The growing <strong>of</strong> the bacteria is carried out by making grooves in each <strong>of</strong> the petri dishes, after<br />
having developed for 48 hrs on the solid material they multiply in a culture liquid. Then they are sterilized in an<br />
autoclave at 15 lb. <strong>of</strong> pressure and 120 O C for 15 minutes, then allowed to incubate at 30 O C for 96 hours after which<br />
respective observations are carried out for the purpose <strong>of</strong> verifying the characteristics indigenous <strong>of</strong> the bacteria<br />
(CHAINS, A. 1985).<br />
Inoculations with <strong>Azotobacter</strong> improve plant growth in the fields from 50 and 70% with 20% increases in yield<br />
achieved (BLACK C. 1975).<br />
Using <strong>Azotobacter</strong> spp. potato yield has been increased by 33.3% and 38.3%. This increase takes place when the<br />
bacteria at rates <strong>of</strong> 30 cf are <strong>com</strong>bined with a low rate (50 kg/ha) and nil (00 kg/ha) <strong>of</strong> nitrogen respectively. When<br />
<strong>com</strong>bining with a medium rate (100 kg/ha) and high rate (150 kg/ha) <strong>of</strong> nitrogen, the increase in yield is only 3.8%<br />
(CASTRO A. 1979).<br />
In an experiment carried out with the Red variety Arequipeña where nitrogen levels and inoculation <strong>of</strong> <strong>Azotobacter</strong><br />
spp. were considered, there was no statistical significance supporting the use <strong>of</strong> both factors. The same result is<br />
obtained for the interaction <strong>of</strong> Nitrogen and <strong>Azotobacter</strong>; however, the <strong>com</strong>bination (A 1 N 1 ) low rates <strong>of</strong> nitrogen<br />
(50 kg/ha) and an inoculation <strong>of</strong> <strong>Azotobacter</strong> to the onion plants (250 g/ha) provided the highest yield at 8,313.33<br />
kg per hectare. At the same time, when <strong>com</strong>paring the inoculated treatment and the unfertilized control, the<br />
inoculant is superior at 1,187 kg per hectare to the control, which demonstrates the importance <strong>of</strong> the <strong>Azotobacter</strong><br />
spp. (CADENILLAS, A. 1982).<br />
Agrispon, is a biostimulant for use in agricultural and horticultural production: it is easily handled, stored and<br />
applied. It is not toxic to plants, animals or people.<br />
The mode <strong>of</strong> action <strong>of</strong> this product in the plant is: it stimulates the development <strong>of</strong> foliage, the development <strong>of</strong> roots,<br />
flowering and fruiting, increases the fixation <strong>of</strong> nitrogen in the soil for bacteria, it reduces the consumption <strong>of</strong><br />
nitrogen use, it increases tolerance to lack <strong>of</strong> water under adverse conditions (AGRICULTURAL IMPORTS, 1983).<br />
Table 2. Composition <strong>of</strong> Agrispon<br />
Determinations Units<br />
Cytokinins 10 ppm<br />
Giberilins 1 ppm<br />
Gibberellins are initially synthesized in very young leaves and later translocate into the region <strong>of</strong> the initial collar,<br />
where they are absolutely necessary for its operation (BEAULIEU, R. 1973).<br />
Gibberellins applied in small quantities to the soil or rosettes on the leaves and shafts <strong>of</strong> certain plants produces an<br />
increase in height. In grains such as wheat, and corn, they also cause an increase in length <strong>of</strong> the leaves. In some<br />
cases they also increase the fresh weight and dry weight. However it doesn't produce any effect on the growth <strong>of</strong><br />
the roots (BEN, J. 1964).<br />
From the chemist's point <strong>of</strong> view, cytokinins are related to nucleic acids with precursor substances that act to<br />
stimulate cell division in vegetative growth areas. No information exist about its transport, or its physiologic role in<br />
plants, or on the production points areas, because <strong>of</strong> this, it is not possible to classify these substances as<br />
phytohormones (BEAULIEU, R. 1973).<br />
3
If a cytokinin is applied directly to the lateral yolk, inhibited by the active tip <strong>of</strong> the stem, the growth <strong>of</strong> the lateral<br />
bud is stimulated. It is possible that cytokinins originate in the roots and rise in the organic solutes <strong>of</strong> the xylem, by<br />
their presence it is deduced that there is a firm correlation between root growth and the upper portion parts <strong>of</strong> the<br />
plants. An over abundance <strong>of</strong> roots causes the slow down in their growth, since this causes a reduction in the<br />
concentration <strong>of</strong> the cytokinins in the organic solutes (WEIER, E. and STOCKING, R. 1980).<br />
Foliar absorption is based on the process <strong>of</strong> diffusion <strong>of</strong> liquids through a semi-permeable membrane and is<br />
selective in the sense that dissolved elements move to a less concentrated solution from a higher concentration,<br />
(JUÁREZ, G. 1956).<br />
It is believed that the entrance into the plant <strong>of</strong> nutrients applied to the foliage is through the discontinuities <strong>of</strong> the<br />
epidermal. In the parallel layers <strong>of</strong> the epidermal cells <strong>of</strong> the leaves <strong>of</strong> many plants, there are pectin like substances<br />
embedded in the cutinizadas area; these pectin like substances extend vertically starting from the surface going<br />
toward the interior <strong>of</strong> the leaf constituting a continuous passage to the walls <strong>of</strong> the vascular extensions and directly<br />
toward the vascular system <strong>of</strong> the leaf, and roots (CROCOMO, O and OTHERS, 1965).<br />
Works exist that prove that the effectiveness <strong>of</strong> foliar absorption is closely related to the structure <strong>of</strong> the leaf,<br />
species <strong>of</strong> the plant, leaves <strong>of</strong> the same plant and several parts <strong>of</strong> the same leaf can have an effect (ZIRENA, D.<br />
1977).<br />
In an experiment on onion production using Agrispon and <strong>Azotobacter</strong>, it was shown: That the treatment with<br />
<strong>Azotobacter</strong> had a yield <strong>of</strong> 8,383 kg/ha, Agrispon 7,177 kg/ha and the control 8,115 kg/ha. In spite <strong>of</strong> this neither<br />
the <strong>Azotobacter</strong> nor Agrispon showed statistical significance. Concluding that it is more advisable to use<br />
<strong>Azotobacter</strong> spp. before Agrispon application, to obtain the best yields and also to be more economical<br />
(CADENILLAS, A. 1985).<br />
Building soil not only depends on factors that exists in smaller quantity, all <strong>of</strong> the factors need to be increased<br />
proportionally when increasing any one factors until arriving at a maximum production; arriving at this maximum, a<br />
new increase <strong>of</strong> a single factor without increasing the other factors causes a decrease in the yield. This is known as<br />
the Law <strong>of</strong> <strong>Effect</strong>iveness <strong>of</strong> the Factors <strong>of</strong> Growth” (SELKE, W. 1968).<br />
Chapter III<br />
MATERIALS AND METHODS<br />
1. Characteristic <strong>of</strong> the Experimental Field.<br />
1.1. Location - This experiment was carried out in the Agricultural Experimental Center “La Victoria", at the<br />
National University <strong>of</strong> Cajamarca, located 2,450 m.s.n.m., latitude 0:07 (11 ' S: longitude 78 O 20' W: with<br />
a dry temperate climate whose climatic characteristics (Averaged 1973-1984) are:<br />
Maximum temperature: 21.4 O C, minimum temperature: 6.4 O C, median temperature: 13.3 O C, total<br />
precipitation: 480.9 mm.<br />
1.2. Climatic conditions during the development <strong>of</strong> the cultivation.<br />
4
Table 3. Meteorological Data <strong>of</strong> September 1984 - June 1985<br />
Temperature in °C H°R PP<br />
Months Min Max Median % mm<br />
1984<br />
September 3.2 20.2 11.7 60.0 11.3<br />
October 6.4 21.1 14.0 70.0 55.6<br />
November 4.2 21.9 13.8 63.0 45.9<br />
December 7.8 22.0 14.9 69.0 67.8<br />
1985<br />
January 7.4 20.9 14.1 78.0 11.8<br />
February 8.3 20.9 14.5 75.0 46.2<br />
March 7.3 23.1 14.9 74.0 25.2<br />
April 7.2 22.3 14.8 78.0 43.6<br />
May 5.0 21.7 13.3 73.0 41.3<br />
June 3.6 21.8 12.7 61.0 6.1<br />
Average 6.0 21.6 13.8 70.1 ∑= 354.8<br />
Data provided by the National Service <strong>of</strong> Meteorology and Hydrology <strong>of</strong> Cajamarca (SENAMHI).<br />
Table 3, shows the registered temperatures are within the ranges required for cultivation, precipitation<br />
fulfills water requirements particularly in the final periods <strong>of</strong> development.<br />
1.3. History <strong>of</strong> the Field – Crops grown in experimental work previous to the present trial:<br />
-1982 - cauliflower<br />
-1983 - corn, potato<br />
-1984 - wheat, cabbage<br />
1.4. Physical-chemical analysis <strong>of</strong> the soil - The analysis was carried out before planting, in the Soil Analysis<br />
Laboratory <strong>of</strong> the National University <strong>of</strong> Cajamarca.<br />
Table 4. Physical-chemical Analysis <strong>of</strong> the Soil<br />
Determinations Average Method<br />
Texture Fco. Loamy Hydrometer<br />
Organic Matter % 2.73 Walkley-Black<br />
Nitrogen total % 0.18 Microkjeldahl<br />
Calcium total % 2.95 Deutrl. acid<br />
Carbon % 1.58 Walkley-Black<br />
P. available ppm 13.0 Microkjeldahl<br />
K. available ppm 82.0 Fotómetro-Llam<br />
pH <strong>of</strong> water 7.9 Potenciómetro<br />
According to the above table the soil has a medium organic matter content, medium Nitrogen, Phosphorous<br />
and Potassium that are below satisfactory levels required for the cultivation. It shows a slightly alkaline<br />
pH, and the texture is within the ranges required by the cultivation and the bacteria.<br />
2. Experimental material:<br />
2.1. Seed - the Red variety Arequipeña was used. It adapts to the climatic conditions <strong>of</strong> the area with yields per<br />
hectare <strong>of</strong> 8,000 - 40,000 kg. Diseases that affect this cultivation are: chupadera, mildew, rust, however,<br />
diseases don't cause considerable damage.<br />
2.2. Inoculant bacterial: The <strong>Azotobacter</strong> spp., obtained at the Laboratory <strong>of</strong> Soil Microbiology <strong>of</strong> the National<br />
University <strong>of</strong> Cajamarca. Solid inoculant was used.<br />
2.3. Biostimulant - Agrispon at rate <strong>of</strong> 1 per hundred (1%).<br />
3. Other Materials:<br />
5
3.1. Fertilizers - according to the soil analysis, 80 kg/ha <strong>of</strong> 46% urea nitrogen was applied.<br />
3.2. Other Materials - petri dishes, Erlenmeyer flasks, test tubes pipette, stove, autoclave, winch, line stakes,<br />
pick, shovel, rake, watering-can, fungicide, scale and ruler.<br />
4. Study: Factors<br />
4.1. Factor A: <strong>Azotobacter</strong> with 3 levels:<br />
a 0 00 g/ha<br />
a 1 250 g/ha<br />
a 2 500 g/ha<br />
4.2. Factor B: Agrispon with 3 application frequencies<br />
b 0 00 application<br />
b 1 1 application<br />
b 2 2 applications<br />
5. Treatment in Study:<br />
Table 5. Relationship and Code for Treatments in Study<br />
TREATMENTS<br />
No Code Inoculant g/ha Agrispon application<br />
1 a 0 b 0 00 00<br />
2 a 0 b 1 00 1<br />
3 a 0 b 2 00 2<br />
4 a 1 b 1 250 00<br />
5 a 1 b 1 250 1<br />
6 a 1 b 2 250 2<br />
7 a 2 b 0 500 00<br />
8 a 2 b 1 500 1<br />
9 a 2 b 2 500 2<br />
10 Control 00 00<br />
6. Experimental Design.<br />
The design “Completely Random Block” was used with factorial arrangement <strong>of</strong> 3A x 3B which 10<br />
treatments including a control with 4 repetitions per treatment.<br />
7. Characteristic <strong>of</strong> the Experimental Field:<br />
7.1. Blocks:<br />
Long 24 m<br />
Wide 4 m<br />
Area 96 m 2<br />
7.2. Parcels:<br />
Number 10<br />
Long 4 m<br />
Wide 2.4 m<br />
Area 9.6 m 2<br />
Outline <strong>of</strong> the Experimental Field:<br />
6
Figure 1. Outline <strong>of</strong> distribution <strong>of</strong> the treatment in the Experimental Field<br />
19 m<br />
1.0 m<br />
4m<br />
I<br />
II<br />
III<br />
IV<br />
3<br />
8<br />
1<br />
5<br />
2.4 m<br />
5<br />
1<br />
6<br />
10<br />
5<br />
1<br />
6<br />
10<br />
8<br />
2<br />
5<br />
8<br />
7<br />
6<br />
10<br />
1<br />
10<br />
4<br />
8<br />
7<br />
24 m<br />
4<br />
7<br />
3<br />
9<br />
6<br />
5<br />
2<br />
4<br />
9<br />
9<br />
4<br />
3<br />
2<br />
10<br />
9<br />
6<br />
1<br />
3<br />
7<br />
2<br />
7.3. Furrows:<br />
Number 4<br />
Long<br />
4 m<br />
Wide<br />
0.6 m<br />
No. <strong>of</strong> plants 40 plants<br />
Area 2.4 m 2<br />
7
7.4. Rows<br />
Number 3<br />
Long 24 m<br />
Wide 1 m<br />
Area 24 m 2<br />
7.5. Areas:<br />
Area net experiment 384 m 2<br />
Area total experiment 456 m 2<br />
8. Conducting <strong>of</strong> the Experiment:<br />
8.1. Laboratory Phase - That understood: isolations identification and propagation: was carried out by the staff<br />
<strong>of</strong> the laboratory <strong>of</strong> Microbiology <strong>of</strong> the Soil.<br />
8.2. Phase <strong>of</strong> the Field:<br />
8.2.1. Seedbed – Seedbeds were laid out 10 square meters by 25 cm. deep, with a mixture <strong>of</strong> sand, soil<br />
and, manure in a proportion <strong>of</strong> 1:2:1 respectively: seed beds were established with shovel and<br />
rake.<br />
Planting was carried out 27 September, 1984, into straight furrows with spaced at approximately<br />
10 cm 1 cm deep and covered a small layer <strong>of</strong> fluffed substrate, a heavy watering was applied and<br />
the area was covered with an tarp. 160 g <strong>of</strong> seed was used.<br />
8.2.2. Final Land Preparation:<br />
Land preparation was done with a tractor, the land was worked, leveled, and the experiment area<br />
was marked prior to furrowing. The furrow depth was 0.60 m.<br />
8.2.3. Transplantation: was carried out 62 days after planting at 0.20 m spacing between plants, root<br />
pruning was done to encourage root regrowth.<br />
8.2.4. Fertilization: took place at 22 days prior to transplanting, using the formula 80-00-00 kg/ha <strong>of</strong><br />
NPK, treatment 10 (control) was not fertilized. Urea Nitrogen (46%) was used, placing in<br />
continuos line at the bottom <strong>of</strong> the furrow then covered with a layer <strong>of</strong> soil.<br />
8.2.5. Inoculation - was carried out 22 days prior to transplanting, rates <strong>of</strong> the inoculant, stated before,<br />
and was mixed with fine sand for an easier handling <strong>of</strong> the bacteria. The inoculation was carried<br />
by making small holes approximately 5 cm from the plant, the inoculant was placed in the hole<br />
and covered with soil.<br />
8.2.6. Application <strong>of</strong> the Agrispon - The biostimulant application was made twice, the first at 55 days<br />
before transplant, the second at 120 days before transplant, according to the quantities on Table<br />
No. 4.<br />
8.2.7. Irrigation - 3 watering was carried out, at 21, 38 and 75 days after transplant, all other needed<br />
water was supplied through rainfall.<br />
8.2.8. Weeding - 4 manual weedings; at the 36, 50, 109 and 147 days from transplanting.<br />
8.2.9. Sanitary control - In Almácigo no disease was present, however, the biggest problem present in<br />
the defined field was a heavy attacks <strong>of</strong> “Mildew” (Peronospora destructor) at 40 days after<br />
transplant, the intensity was determined to be 75%. For control, Tecto 60 was applied each week<br />
for 3 weeks at a rate <strong>of</strong> 1.5 g/l <strong>of</strong> water, applied to the foliage.<br />
8.2.10. Emergence <strong>of</strong> the bulb - occurred in general at 153 days <strong>of</strong> transplant, for all the treatments.<br />
8.2.11. Bending <strong>of</strong> the Shaft - occurred at 168 days <strong>of</strong> transplant, in general, for all the treatments.<br />
8.2.12. Harvests - was carried out at 198 days <strong>of</strong> transplant, when two thirds <strong>of</strong> the foliage had dried <strong>of</strong>f.<br />
The two middle furrows <strong>of</strong> each treatment were harvested.<br />
8
9. Evaluations:<br />
9.1. Before the Crop.<br />
9.1.1. Emergence in almácigo -Began at 8 days with 10% <strong>of</strong> plants, concluding at 13 days. The process<br />
consisted <strong>of</strong> evaluating the quantity <strong>of</strong> plants that broke the surface <strong>of</strong> the soil at 8 days.<br />
9.1.2. Taking <strong>of</strong> transplants – when the transplants amounted to 99%. This was determined by counting<br />
the dead plants then subtracting them from the total transplant and using the resulting quantity to<br />
determine a percentage.<br />
9.1.3. Plant height– Measurements were taken every 15 days by determining the distance from the neck<br />
to the apex, these measurements was suspended when the leaves withered as a result <strong>of</strong> the<br />
“Mildew” attack.<br />
9.2. Harvest - All the evaluations were on 20 plants taken at random from the 2 middle furrows.<br />
Evaluated for the following:<br />
- Root length – done with a graduated ruler.<br />
- Bulb diameter – Done with a bernier.<br />
- Weights <strong>of</strong> bulbs – weights were taken from 20 plants taken randomly from the middle furrows,<br />
then the remainder <strong>of</strong> the furrows were weighed.<br />
Outlines <strong>of</strong> the evaluations:<br />
- Root length,<br />
- Bulb diameter.<br />
9
Chapter IV<br />
RESULTS AND DISCUSSIONS<br />
In this Chapter the corresponding Statistical Analysis is presented, expressed in tables, figures referred to averages,<br />
as well as the Economic Analysis corresponding to each treatment.<br />
Blocks<br />
Table 6. Yield in kilograms for harvested area (4.80 m 2 ) for the factorial 3a x 3b + control<br />
Total<br />
A 0 A 1 A 2<br />
<strong>of</strong><br />
b 0 B 1 b 2 b 0 b 1 b 2 b 0 b 1 b 2 Blocks Control<br />
Total <strong>of</strong><br />
blocks<br />
+<br />
control<br />
I 10.40 12.80 8.40 11.84 22.40 11.20 12.80 9.20 12.80 101.84 9.40 111.240<br />
II 9.44 9.60 12.28 8.72 11.60 13.60 12.00 12.80 13.60 103.64 8.00 111.640<br />
III 11.60 10.00 11.60 12.00 12.00 13.20 l0.80 11.20 9.40 101.80 8.224 110.024<br />
IV 9.20 9.20 9.80 11.04 10.80 12.00 10.00 12.80 12.40 97.24 7.200 104.440<br />
AB 40.64 41.60 42.08 43.60 46.80 50.00 45.60 46.00 48.20 404.52 32.824 437.344<br />
A A 0 = 224.32 A 1 = 140.40 a 2 = A 2 = 139.80 404.52 437.344<br />
B b 0 = 129.84 b 1 = 134.40 b 2 = b 2 = 140.28 404.52 437.344<br />
Table 7. Analysis <strong>of</strong> Variance (ANVA) for the treatments <strong>of</strong> the factorial 3A x 3B with 1 control<br />
F<br />
F.V. G.L. S.C. C. M. Fc 0.05 0.01<br />
Blocks 3 3.3377 1.1126 0.54 NS 2.96 4.60<br />
Treatments 9 53.2833 5.9204 2.88* 2.25 3.14<br />
Treat. Vs. Control 1 33.0658 33.0658 16.11** 4.21 7.68<br />
Factorial 3Ax3B 8 20.2176 2.5272 1.23 NS 2.30 3.26<br />
<strong>Azotobacter</strong> (A) 2 13.8488 6.9244 3.37* 3.35 5.49<br />
Fun. lineal 1 9.9846 9.9846 4.86* 4.21 7.68<br />
Fun. cuadrát. 1 3.8642 3.8642 1.88 NS 4.21 7.68<br />
Agrispon (B) 2 4.5656 2.2828 1.11 NS 3.35 5.49<br />
Fun. Lineal 1 4.5414 4.5414 0.21 NS 4.21 7.68<br />
Fun. cuadrát. 1 0.0242 0.0242 0.01 NS 4.21 7.68<br />
A x B 4 1.8032 0.4508 0.22 NS 2.73 4.11<br />
A L B L 1 0.0012 0.0012 0.001 NS 4.21 7.68<br />
A L B Q 1 0.0067 0.0067 0.003 NS 4.21 7.68<br />
A Q B L 1 0.1064 0.1064 0.05 NS 4.21 7.68<br />
A Q B Q 1 0.0123 0.0123 0.005 NS 4.21 7.68<br />
Error 27 2.0521<br />
Total 39 112.0274<br />
C. V. = 13.10 %<br />
As can be seen, the Coefficient <strong>of</strong> Variability is inside the ranges specified for investigational works in the field.<br />
In the Analysis <strong>of</strong> Variance (Table 7) we find that statistical significance doesn't exist between blocks probably not<br />
to factors, specified (illegible text).<br />
For the Agrispon treatments, statistical significance doesn't exist. Nevertheless, when observing the square means<br />
<strong>of</strong> the <strong>com</strong>ponents, it is noticed that the applications have a lineal tendency that is to say that the yields increase as<br />
the applications <strong>of</strong> the biostimulant increases. Although it is necessary to notice that these increases are in a very<br />
10
small increment, it is decidedly possibly that the structure <strong>of</strong> the leaf has influenced the foliate absorption. This is in<br />
line with CADENILLAS, A. (1985) who didn't find statistical significance with Agrispon in onion cultivation Var.<br />
Red Arequipeña that confirmed results obtained by ZIRENA, D. (1977) who indicates that the factors that influence<br />
absorption to foliage are related with the structure <strong>of</strong> the leaf, vegetable species, the leaves <strong>of</strong> the same plant and<br />
several parts <strong>of</strong> the same leaf.<br />
For the <strong>Azotobacter</strong> treatment and their lineal function, significance exists at a 5% level <strong>of</strong> probability, which<br />
indicates that the yields increase as the rate <strong>of</strong> <strong>Azotobacter</strong> increases, until a maximum yield is obtained from which<br />
it will then start to diminish. This reaffirms results obtained by CADENILLAS, A. (1982) who says that statistical<br />
significance doesn't exist for the <strong>Azotobacter</strong> factor although it has a yield <strong>of</strong> 8,313.3 onions/ha kg, demonstrating<br />
the importance <strong>of</strong> the <strong>Azotobacter</strong> spp. in the onion cultivation.<br />
It is also observed that in the factorial 3A x 3B <strong>com</strong>pared to the control, a high statistical significance exists,<br />
because the treatments <strong>of</strong> the factorial one has been influenced by the factors in studies <strong>Azotobacter</strong> and Agrispon<br />
that have contributed to elevate yields, which has not happened to the control.<br />
Table 8. Yields in kilograms for hectare adjusted according to the equation<br />
Ŷ = 134.195 - 0.0026 X for the factor <strong>Azotobacter</strong> (A)<br />
Yields<br />
<strong>Azotobacter</strong> kg/4.80 m 2 kg/ha<br />
a 0 11.1829 23,297.7083<br />
a 1 11.2371 23,410.6250<br />
a 2 11,2912 23,523.3333<br />
23600<br />
Figure 2. <strong>Effect</strong> <strong>of</strong> <strong>Azotobacter</strong> on the Yield <strong>of</strong> Onion with<br />
Statistical Significance.<br />
Yield Kg/Ha<br />
23500<br />
23400<br />
23300<br />
Ŷ = 134.195 - 0.0026 X<br />
Ŷ = 134.195 - 0.0026 X<br />
23200<br />
23100<br />
a a1 a2<br />
Azot. g/Ha<br />
Table 8 and figure 2, shows the effect <strong>of</strong> <strong>Azotobacter</strong>. Yield increases on-a straight line and proportional to the<br />
increase <strong>of</strong> the application rate, which is adjusted to a lineal regression, and allows for the following equation: Y =<br />
134.195 - 0.0026 X from which is deduced that when the <strong>Azotobacter</strong> is increased by 1 gram, the yield increases<br />
0.0026 kg/parcel. We can establish the great efficiency <strong>of</strong> the bacteria because every time the rates were increased<br />
the yields increase, without establishing that point at which the curve starts to descend, affirming what VANCURA<br />
and MANCURA said (1960) that the action <strong>of</strong> gibberillic acid caused by <strong>Azotobacter</strong> influences the yield and early<br />
growth <strong>of</strong> the cultivation. Also, CHAVEZ, R. (1979) affirms that the inoculation <strong>of</strong> <strong>Azotobacter</strong> spp. produces an<br />
11
increase in the yield <strong>of</strong> carrots, when it is <strong>com</strong>bined with a low level <strong>of</strong> nitrogen as well as when the inoculation <strong>of</strong><br />
the bacteria is carried out without any nitrogen application, not establishing a good <strong>com</strong>parison for nitrogen level<br />
application.<br />
Table 9. Yield in kilograms per hectare for Agrispon (B)<br />
Yields<br />
Agrispon kg/4.80 m 2 kg/ha<br />
b 0 10.8200 22,541.6667<br />
b 1 11.2000 23,333.3333<br />
b 2 11.6900 24,354.1667<br />
24500<br />
24000<br />
Figure 3. Performance <strong>of</strong> Agrispon without significance in accordance<br />
with Yield per hectare<br />
Yield Kg/Ha<br />
23500<br />
23000<br />
22500<br />
22000<br />
21500<br />
b b1 b2<br />
Agrispon Frequency.<br />
Table 9 and figure 3, show the effect <strong>of</strong> the frequency <strong>of</strong> application <strong>of</strong> the biostimulant, it is noted that the yields<br />
are increased as the application frequency increases, it is shown that from b 1 (0 applications) to b 2 (1 application),<br />
there is a difference <strong>of</strong> 791.66 b2 kg/ha to b 3 the increase was 1,020.8334 kg/ha. One can conclude the highlighted<br />
efficiency <strong>of</strong> the Agrispon in spite <strong>of</strong> the lack <strong>of</strong> statistical significance; for the substances (Hormones) that it<br />
contains, such as the gibberellins, will also increase the weight <strong>of</strong> yields, in some cases. (BEN, J. 1964) and the<br />
cytokinins that act as stimulants in the division <strong>of</strong> vegetable cells (BEAULIEU, R. 1973).<br />
Table 10. Yield in kilogram for hectare for the interaction <strong>Azotobacter</strong> x<br />
Frequency <strong>of</strong> application <strong>of</strong> Agrispon (A x B)<br />
Application <strong>of</strong><br />
<strong>Azotobacter</strong><br />
Agrispon A 0 a 1 a 2<br />
b 0 21,145.833 22,708.333 23,750.000<br />
b 1 21,666.667 24,375.000 23,958.333<br />
b 2 21,916.667 26,041.666 25,104.167<br />
12
27000<br />
Figure 4. Azotobacer Interaction - Frequency <strong>of</strong> Agrispon in accordance with<br />
yield per hectare<br />
Yield Kg/Ha<br />
26000<br />
25000<br />
24000<br />
23000<br />
22000<br />
b0<br />
b1<br />
b2<br />
21000<br />
a0 a1 a2<br />
Azot. g/Ha<br />
Tablet 10 and figure 4, shows the effect <strong>of</strong> the different levels <strong>of</strong> <strong>Azotobacter</strong> in each one <strong>of</strong> the levels <strong>of</strong> the<br />
frequencies <strong>of</strong> application <strong>of</strong> Agrispon where it is observed that the level <strong>of</strong> <strong>Azotobacter</strong> in b 0 (0 applications). A<br />
positive action exists and consequently the yields are increased as the rates <strong>of</strong> <strong>Azotobacter</strong> increase, because the<br />
plant assimilates the nitrogen fixed by the bacteria, as well as the nitrogen that is an element which is also beneficial<br />
to the microorganism (BURDON, K.1971). On the other hand in application b 1 (1 application) and b 2 (2<br />
applications), the levels <strong>of</strong> <strong>Azotobacter</strong> exhibit a direct effect with these increase <strong>of</strong> a 0 (0 g/ha) to a 1 (250 g/ha) the<br />
yields increase then stops and start to diminish when the rates <strong>of</strong> <strong>Azotobacter</strong> are increased to 500 g/ha. This is<br />
because with 250 g/ha <strong>of</strong> <strong>Azotobacter</strong> the plant obtains a good level <strong>of</strong> required nutrients, whereas, when increasing<br />
the rate, an excess <strong>of</strong> nutrients, that the plant can no longer assimilate, exists motive for which the yields fall. As<br />
the Law <strong>of</strong> the <strong>Effect</strong>iveness <strong>of</strong> factors <strong>of</strong> Growth that says: Production increases proportionally when increasing<br />
any one <strong>of</strong> the factors until arriving at the production maximum, arriving there, a new application <strong>of</strong> a factor without<br />
increasing the other factors can cause a decrease in the yield (SELKE, W. 1968).<br />
According to the figure, the best <strong>com</strong>bination to use is 250 g/ha <strong>of</strong> <strong>Azotobacter</strong> with 2 applications <strong>of</strong> Agrispon<br />
since this resulted in the best yield <strong>of</strong> 26,041.6667 kg/ha. With this <strong>com</strong>bination, the plant has the necessary<br />
nutrients for its development and for better production, which is to say that is has neither deficiency nor excesses <strong>of</strong><br />
nutritious, a balance exists.<br />
Table 11. Yield in kilograms for hectare <strong>of</strong> the treatments in study<br />
Treatments<br />
Yields<br />
Code No kg/4.80m 2 kg/ha % Merit<br />
a 1 b 2 6 12.5000 26,041.667 152 I<br />
a 2 b 2 9 12.0500 25,104.167 147 II<br />
a 1 b 1 5 11.7000 24,375.000 143 III<br />
a 2 b 2 8 11.5000 23,958.333 140 IV<br />
a 2 b 0 7 11.4000 23,750.000 139 V<br />
a 1 b 0 4 10.9000 22,708.333 132 VI<br />
a 0 b 2 3 10.5200 22,916.667 128 VII<br />
a 0 b 1 2 10.4000 21,666.667 127 VIII<br />
a 0 b 0 1 10.1600 21,145.833 124 IX<br />
Control 10 8.2060 17,095.833 100 X<br />
13
Figura 5: Yield in kg per hectare <strong>of</strong> the treatments in study<br />
27000<br />
25000<br />
Yield Kg/Ha<br />
23000<br />
21000<br />
19000<br />
17000<br />
15000<br />
6 9 5 8 7 4 3 2 1 10<br />
Treatments<br />
Table 11 and figure 5 indicates the percentage differences <strong>com</strong>pared to the general control (10). The treatment 6,<br />
was best in order <strong>of</strong> merit, increasing 52% (8,945.83 kg/ha) treatment 9 that was next with 47% (8,008.33 kg/ha).<br />
Between treatments 6 and 9 only a variation <strong>of</strong> 5% (9.3715 kg/ha) exists.<br />
These high yields were obtained with a low rate and applications <strong>of</strong> <strong>Azotobacter</strong> and 2 applications <strong>of</strong> Agrispon.<br />
When we <strong>com</strong>pare the highest yield treatment (6) and treatment 5 (first and third place), we find the difference to be<br />
9% (1,666.66 kg/ha) a rate <strong>of</strong> 250 g/ha and a application <strong>of</strong> Agrispon, which demonstrates that the best yields are<br />
obtained with low rate and applications <strong>of</strong> <strong>Azotobacter</strong> and with 1 and 2 applications <strong>of</strong> Agrispon.<br />
Treatment 8 which was 4 in yield, <strong>com</strong>pared with 6, the difference is 12% (2,083.33 kg/ha), but <strong>com</strong>pared to 5 the<br />
difference is 3% (416.67 kg/ha).<br />
Through these results, we can conclude that the biggest yields are obtained with the application <strong>of</strong> a low rate <strong>of</strong><br />
inoculant in <strong>com</strong>bination with 2 applications <strong>of</strong> Agrispon, or when a <strong>com</strong>bination <strong>of</strong> inoculation and 2 applications<br />
<strong>of</strong> Agrispon, reaffirming that manifested by COOPER, 1950 (BLACK, C. 1975) that the proportions <strong>of</strong> <strong>Azotobacter</strong><br />
improve the cultivations in the fields between 50 and 70%, achieving increases in the yields by 20%.<br />
Table 12. Correlation, Yield (Y) Length <strong>of</strong> Root (X 1 ) and bulb Diameter (X 2 )<br />
Yield Length <strong>of</strong> Diameter <strong>of</strong><br />
Treatment (Y) root (X 1 ) bulb (X 2 )<br />
1 10.1600 10.840 5.310<br />
2 10.4000 10.720 5.277<br />
3 10.5200 11.262 5.450<br />
4 10.9000 10.098 5.524<br />
5 11.7000 10.630 5.483<br />
6 12.5000 10.626 5.950<br />
7 11.4000 11.110 5.540<br />
8 11.5000 11.288 5.570<br />
9 12.0500 9.830 5.880<br />
10 8.2060 9.670 4.520<br />
Coefficient <strong>of</strong> Correlation = r 0.296 0.964<br />
Coefficient <strong>of</strong> regression = b -- 2.999<br />
r Tabulate: 0.632 and 0.765 for 5% and 1 probability %<br />
Significance<br />
NS<br />
14
The coefficients <strong>of</strong> Correlation in Table 12 show that statistical significance doesn't exist in the correlation <strong>of</strong> Root<br />
Length to Yield.<br />
In the correlation <strong>of</strong> Bulb Diameter, to Yield, a high statistical significance exists, therefore, the variable bulb<br />
diameter, is associated with the yield. It is deduced that for each unit that the bulb diameter is increased, the yield<br />
increases in a quantity <strong>of</strong> 2.9986 kg. This if because the catáfilas have a higher consistency in their fiber for<br />
accumulation <strong>of</strong> carbohydrates, and the diameter is in limited relationship with the yield or with the weight <strong>of</strong> the<br />
bulb.<br />
The coefficients <strong>of</strong> determination indicate that the variable bulb Diameter influenced yields 92.9% and the other<br />
percentage is attributed to other non-specified factors.<br />
Figure. 6: Equation and Line <strong>of</strong> Regression for Diameter<br />
Correlation <strong>of</strong> Stalk vs Yield with high Statistical significance<br />
Yield Kg/Parcel<br />
13<br />
12.5<br />
12<br />
11.5<br />
11<br />
10.5<br />
10<br />
9.5<br />
9<br />
8.5<br />
8<br />
Y= - 5.4100 + 2.0086 X<br />
4.52 5.28 5.31 5.45 5.48 5.52 5.54 5.57 5.88 5.95<br />
Diameter cm.<br />
Table 13. Economic Analysis <strong>of</strong> Yield per Hectare Ordered by Treatment<br />
TREATMENTS N<br />
NAILS<br />
COST<br />
INOCULANTE S. /<br />
HA<br />
COST BIOESTIMUL<br />
S /. THERE IS /<br />
COST<br />
CULTIVATION +<br />
NPK<br />
COST TOTAL<br />
PRODUCTION S /. /<br />
HA<br />
YIELD KG/HA<br />
GROSS VALUE OF<br />
THE PRODUCTION<br />
S. / / THERE IS /<br />
NET UTILITY S. / /<br />
THERE IS /<br />
PROFITABILITY<br />
B/C0<br />
ORDER OF MERIT<br />
1 a 0 b 0 8’607,408 8’607,408 21,145.83 42’291,660 33’684,252 3.913 VI<br />
2 a 0 b 1 300,000 8’607,408 8’907,408 21,666.66 43’333,320 34’425,912 3.864 VIII<br />
3 a 0 b 2 600,000 8’607,408 9’207,408 21,916.66 43’833,320 34’625,912 3.760 IX<br />
4 a 1 b 0 20,000 8’607,408 8’627,408 22,708.33 45’416,660 36’789,252 4.264 VI<br />
5 a 1 b 1 20,000 300,000 8’607,408 8’927,408 24,375.00 48’750,000 39’822,592 4.460 III<br />
6 a 1 b 2 20,000 600,000 8’607,408 9’227,408 26,041.66 52’083,320 42’855,912 4.644 I<br />
7 a 2 b 0 40,900 - 8’607,408 8’647,408 23,750.00 47’500,000 38’852,592 4.492 II<br />
8 a 2 b 1 40,000 300,000 8’607,408 8’947,408 23,958.33 47’916,660 38’969,252 4.355 V<br />
9 a 2 b 2 40,000 600,000 8’607,408 9’247,408 25,104.16 50’208,320 40’960,912 4.429 IV<br />
10 Control - - 7’451,408 7’451,408 17,095.83 34’191,660 26’740,252 3.58 X<br />
15
Figura 7: Histogram <strong>of</strong> Pr<strong>of</strong>itability for the 10 Treatments in order <strong>of</strong> mer<br />
4.8<br />
4.6<br />
Yield Kg/Ha<br />
4.4<br />
4.2<br />
4<br />
3.8<br />
3.6<br />
3.4<br />
6 7 5 9 8 4 1 2 3 10<br />
Treatments<br />
In table 13, the Economic Study is presented for onion cultivation per hectare, as net value. Control (T 10 ) is less<br />
than all other treatments: treatment 6 (a 1 b 2 ) best, followed by treatment 9 (a 2 b 2 ) and then treatment 5 (a 1 b 1 ). The<br />
difference between treatment 6 and treatment 9 and treatment 5 was 1,895,000 intis and 3,033,320 intis respectively,<br />
however, as for the cost-benefit relationship, the best was treatment 6 (a1b2) with 4.644 intis which also had the<br />
highest net value, next was treatment 7 (a 2 b 0 ) with 4.49 intis but with net utility that was 5 th best, it is noticed that<br />
<strong>Azotobacter</strong> was at a rate <strong>of</strong> 500 g/ha; the 3 rd best was treatment 5 (a 1 b 1 ) with 4.46 intis. As for the difference in<br />
Net value between treatment in 6 th and 9 th position in relation to control are respectively 16,115.66 intis and<br />
14,220.66 intis and with respect pr<strong>of</strong>itability <strong>of</strong> the treatments that 6 th and 7 th best treatments <strong>com</strong>pared to control<br />
are respectively <strong>of</strong> 1.06 intis and 0.96 intis.<br />
With above-mentioned you can conclude that the <strong>Azotobacter</strong> spp. influences yields notably, and when considering<br />
the economic aspect it is suitable to use because for its low costs it contributes good value.<br />
Chapter V<br />
CONCLUSIONS<br />
According to the objectives and under the conditions <strong>of</strong> the study, the following conclusions were reached:<br />
1. The best yields obtained by effect inoculation <strong>of</strong> <strong>Azotobacter</strong> were the 250 g/ha <strong>com</strong>pared to the 500 g/ha rate<br />
the yield was very similar.<br />
2. As for frequency <strong>of</strong> Application, all the treatments are statistically the same; however, the yields are increased<br />
as the application frequency increases.<br />
3. The interaction <strong>of</strong> <strong>Azotobacter</strong> and Agrispon was not significant, but to <strong>com</strong>pare these factors to the control<br />
high statistical significance was obtained.<br />
4. With the <strong>com</strong>bination <strong>of</strong> <strong>Azotobacter</strong> and Agrispon (a 1 b 1 ) the highest yield was obtained, with 26,041.66 kg/ha.<br />
5. The correlation <strong>of</strong> diameter <strong>of</strong> bulb to yield was highly significant: the correlation <strong>of</strong> length <strong>of</strong> root to yield did<br />
not give statistical significance.<br />
16
6. From the economic point <strong>of</strong> view, the biggest revenues were obtained with the following treatments: T6 (a 1 b 2 )<br />
<strong>Azotobacter</strong> 250 g/ha with 2 applications <strong>of</strong> Agrispon (4.64 soles/ha), T7 (a 2 b 0 ) <strong>Azotobacter</strong> 500 g/ha without<br />
Agrispon (4.49 soles/ha) and T5 (a 1 b 1 ) <strong>Azotobacter</strong> 250 g/ha with 1 application <strong>of</strong> Agrispon (4.46 soles/ha).<br />
7. Because the Agrispon is not a very well known product in our area, it is re<strong>com</strong>mended to carry out more works<br />
thoroughly, using different levels or rate.<br />
8. The use <strong>of</strong> preservatives or humidifying agents is re<strong>com</strong>mended when working with cultivations whose foliate<br />
surface present obstacles to the absorption <strong>of</strong> substances through the stomata or other structure.<br />
Chapter VI<br />
SUMMARY<br />
The present work was carried out in order to determining the effect <strong>of</strong> the inoculation <strong>of</strong> <strong>Azotobacter</strong> spp. and the<br />
frequency <strong>of</strong> application <strong>of</strong> Agrispon in the onion cultivation (Allium cepa) Var. Red Arequipeña, as for yield and<br />
quality.<br />
The experimental field was located in the “La Victoria”, property <strong>of</strong> the National University <strong>of</strong> Cajamarca.<br />
The design “Complete Randomized Block" was used, with factorial arrangement <strong>of</strong> 3A x 3B with 9 treatments,<br />
including 1 control, with 4 replications.<br />
Transplant was made manually 2 months after seeding, all the required cultural practices were made for the<br />
cultivation, and water was applied according to the necessities <strong>of</strong> the cultivation.<br />
The fertilization (Urea 46%) and inoculation (solid constituency for bacterial inoculant and a substrate: peat, carbon<br />
silicon, carbonate <strong>of</strong> Ca, alfalfa flour and clay) was carried out after 21 days after transplant.<br />
Of the crop was carried out to 198 days after transplant the best yields were with treatment 6 (a 1 b 2 ) <strong>Azotobacter</strong> 250<br />
g/ha with 2 applications <strong>of</strong> Agrispon (26,041.667 kg/ha) and treatment 9 (a 2 b 2 ) <strong>Azotobacter</strong> 500 g/ha with 2<br />
applications <strong>of</strong> Agrispon (25,104.167 kg/ha) bettering the control 10 statistically (17,095.833 kg/ha).<br />
The economic analysis indicates the best treatment <strong>com</strong>pared to control is 6 (a 1 b 2 ) that has a net value <strong>of</strong> 42'855,910<br />
soles/ha and treatment 9 (a 2 b 2 ) that has a net value <strong>of</strong> 40,960,910 soles/ha; with the control T10 having the smallest<br />
net value per hectare with 26'740,250 soles/ha, which demonstrates that the inoculation with the bacteria leads to<br />
bigger yields in the cultivation <strong>of</strong> the onion.<br />
Statistical significance doesn't exist for the correlation Length <strong>of</strong> Root vs. Yield; high statistical significance for<br />
Diameter <strong>of</strong> bulb vs. Yield does exist.<br />
17
CHAPTER VII<br />
CITED LITERATURE<br />
1. BEALIEU, R. (1973). Reguladores de Crecimiento. Ed. O1KOSTAU, S.A. 1° Edic. Barcelona, España.<br />
245 p.<br />
2. BLACK, C. (1975). Relaciones Suelo-Planta. Tomo II. Edit. Hemisferio Sur. 1° Edic. Bs. As. 866 p.<br />
3. BEN, J. (1964). Tratado de Botánica. Edic, Omega S.A., Barcelona, España. 747 p.<br />
4. BUNNER, J and GALSTON, A (1973). Principios de Fisiología Vegetal. Ed. Aguilara, S.A. 5° Edic.<br />
Madrid, España. 469 p.<br />
5. BURDON, K. (1971). Microbiología 1° Ed. México. 830 p.<br />
6. BURGES, A. (1971). Biología del Suelo, Ed. Omega 1° Ed. Barcelona, España. 596 p.<br />
7. CACERES, E. (1980). Producción de Hortalizas. Edit. II CA. 3° Ed. San José, Costa Rica. 387 p.<br />
8. CADENILLAS, A. (1985). ''Influencia del Agrispon y el uso de inoculantes con bacteria fijadores de<br />
Nitrógeno atmosférico <strong>Azotobacter</strong>, empleando dosis de fertilización en el rendimiento del cultivo de<br />
cebolla”. Cajamarca, Perú. 10 p.<br />
9. CALZADA, B. (1970). Métodos Estadísticos para la Investigación. 3° Edic. Lima, Perú. 494 p.<br />
10. GALVEZ, T. (1982). "Comparativo de Diferentes niveles de fertilización fosforado con inoculación de<br />
<strong>Azotobacter</strong> spp. en el Cultivo de Betarraga." Tésis, UNC Cajamarca, Perú. 54 p.<br />
11. CHAVEZ, R. (1979). "Comparativo de diferentes niveles de fertilización nitrogenada con inoculación de<br />
<strong>Azotobacter</strong> spp. en el cultivo de zanahoria, Var. Red Cored Chantenay. Tésis UNC Cajamarca, Perú. 82<br />
p.<br />
12. GOLA, G. (1965). Tratado de Botánica. Edit. Labor S.A. Barcelona, España. 1190 p.<br />
13. IMPORTACIONES AGRÍCOLAS (1983). Folleto de presentación. Agrispon. Lima, Perú.<br />
14. JAMES, W. (1967). Introducción a la Fisiología Vegetal. Edic. Omega, S.A. 6 0 Edic. Barcelona, España.<br />
328 p.<br />
15. MAINARDI, P. (1978). Hortalizas de bulbo, raíz y tubérculo. Edit. de Vecchi, S.A. Barcelona, España.<br />
15 p.<br />
16. MILLAR, C. (1964). Fertilidad del Suelo. 1° Edic. Edit. Salvat. S.A. 477 p.<br />
17. MORTENSEN, S. y BULLARD, E. (1967). Horticultura Tropical y Subtropical. Agencia para el<br />
Desarrollo Internacional (AID). México 1° Edic. 275 p.<br />
18. ROJAS, C. (1977). "Comparativo de Siete cultivares Introducidos de cebolla (Allium cepa) en la Campiña<br />
de Cajamarca". Tésis UNC. Cajamarca, Perú. 41 p.<br />
19. SELKE, W. (1968). Los Abonos. 4 a Edic. Edit . Academia. León, España. 441 p.<br />
20. SILVA, A. (1982). "Influencia del Nitrógeno y la Densidad de Siembra en los rendimientos del Cultivo<br />
de Cebolla Var. "Roja Arequipeña en Cajamarca". Tésis. UNC, Cajamarca, Perú 38 p.<br />
21. TAMARO, D. (1977). Manual de Horticultura. Edit. Gustavo Gili. 8 a Edic. España. 510 p.<br />
22. TISCORNIA, J. (1974). Cultivo de Hortalizas Terrestres. Edit. Albatros, Argentina. 150 p.<br />
23. WEIER, R and STOCKING, R. (1980). Botánica-Edit. Limusa. 5 a Edic. México. 740 p.<br />
24. ZIRENA, D. (1977). Fertilidad de Suelos. 1° Edic. Cajamarca, Perú. 159 p.<br />
18
CAPITULO VIII<br />
APENDICE<br />
Table No. 14: Costs <strong>of</strong> Production <strong>of</strong> the Cultivation <strong>of</strong> Onion per Hectare, without Inoculation<br />
and without, Biostimulant<br />
Costs:<br />
1. Costs Director Variables: S /.<br />
Soil analysis S /. 40,000<br />
Seed 650,000<br />
Storage 32,000<br />
Securities 176,000<br />
Pesticide 200,000<br />
Land preparation 520,000<br />
Transplant 264,000<br />
Weeding 720,000<br />
Irrigation 192,000<br />
Uncovered bulb and bend shaft 240,000<br />
Harvests and transpiration 280,000<br />
3’314,000<br />
2. Special costs: S /. 980,000<br />
Fertilizers 2’500,000<br />
Pesticides 3’480,000<br />
3. General costs: S /.<br />
Social laws (46.2%) 378,840<br />
Administrative expenses 717,280<br />
Miscellaneous 717,280<br />
1’813’410<br />
Summary S/.<br />
Direct costs 3’314,000<br />
Special costs 3’480,000<br />
General costs 1’813,410<br />
Total Costs 8’607,410<br />
19