Paper · 2020 · Zagazig Journal of Agricultural Research

IMPACT OF SOWING MODELS, NITROGEN LEVELS AND BIOFERTILIZATION ON YIELDS AND QUALITY OF SUGAR BEET UNDER SANDY SOIL CONDITIONS

Hazem Sarhan; Maha El-Zeny

5
claims
8
verbatim quotes
2
citations
1
research areas
✓
Open access

Abstract

The aim of this research is to study the influence of sowing models (one side of ridges, 60 cm apart, 15 cm between hills and both sides of terraces, 90 cm apart, 20 cm between hills), nitrogen fertilizer levels (70, 90 and 110 kg N/fad.) and biofertilization treatments (treate soil with Cerialin, Rhizobacterin and the mixture of Cerialin and Rhizobacterin) on yield and quality of sugar beet, Karam cultivar under sandy soil conditions. Two field experiment were carried out at Kalabsho Experimental Farm, Dakahlia Governorate, Sugar Crops Research Institute, Agricultural Research Center, Egypt, during 2014/2015 and 2015/2016 seasons. The experiments were carried out in split-split plot design with four replications. The main plots were assigned to sowing models. The sub-plots were occupied with nitrogen fertilizer levels. While, the sub-sub plots were allocated with biofertilization treatments. The obtained results showed that sowing sugar beet in both sides of terraces, 90 cm apart, at 20 cm between hills attained the highest values of yield components, most of root juice quality parameters and yields, followed by sowing in one side of ridges, 60 cm apart, at 15 cm between hills in both seasons. The highest value for each of yield components, most of root juice quality parameters and yields were produced from fertilizing beet plants with 110 kg N/fad in both seasons. However, application of 90 kg N/fad., induced the highest value of sugar yield and the second best value for each of yield components, root juice quality parameters, top and root yields without significant differences between them in most cases in both growing seasons. Application the mixture of Cerialin and Rhizobacterin produced the highest value for each of yield components, most of root juice quality parameters and yields in the two seasons. It can be concluded that sowing sugar beet in both sides of terraces, 90 cm apart, at 20 cm between hills and treat soil with the mixture of Cerialin + Rhizobacterin (225 g/fad., of each) biofertilizers in addition of mineral fertilizing with 90 kg N/fad., to improve productivity and quality of sugar beet under sandy soil conditions.

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Claims 5

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Terrace sowing produced the highest yield components, root juice quality parameters and yields.

Treatment
sowing sugar beet in both sides of terraces, 90 cm apart, at 20 cm between hillse0
Outcome
yield components, most of root juice quality parameters and yieldse0
Direction
highest valuese0
Qualifier
both seasonse0
Comparator
sowing in one side of ridges, 60 cm apart, at 15 cm between hillse0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Beta vulgaris subsp. vulgaris
Beta vulgaris subsp. vulgaris · TaxonQuadell · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“sowing sugar beet in both sides of terraces, 90 cm apart, at 20 cm between hills attained the highest values of yield components, most of root juice quality parameters and yields, followed by sowing in one side of ridges, 60 cm apart, at 15 cm between hills in both seasons”

✓ located verbatim in the source · abstract, characters 939–1212 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Fertilizing with 110 kg N/fad produced the highest yield components, quality parameters and yields.

Taxon
beet plantsBeta vulgarise0
Treatment
110 kg N/fade0
Outcome
yield components, most of root juice quality parameters and yieldse0
Direction
highest valuee0
Qualifier
both seasonse0

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Beta vulgaris
Beta vulgaris · TaxonMichael Bakker Paiva · CC BY 4.0 · iNaturalist ↗

Verbatim

e0

“The highest value for each of yield components, most of root juice quality parameters and yields were produced from fertilizing beet plants with 110 kg N/fad in both seasons”

✓ located verbatim in the source · abstract, characters 1214–1387 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Applying 90 kg N/fad gave the highest sugar yield.

Treatment
90 kg N/fad.e0
Outcome
sugar yielde0
Direction
highest valuee0

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Beta vulgaris subsp. vulgaris
Beta vulgaris subsp. vulgaris · TaxonQuadell · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“application of 90 kg N/fad., induced the highest value of sugar yield”

✓ located verbatim in the source · abstract, characters 1398–1467 · show in text ↑
t0

“SUGAR BEET”

✓ located verbatim in the source · title, characters 87–97 · show in text ↑
Intervention effectobservedoriginal resultpositivenot significant (as stated)measured

Claim · model-written summary

Applying 90 kg N/fad gave second best yield components, root juice quality parameters, top and root yields, usually without significant differences.

Treatment
90 kg N/fad.e0
Outcome
yield components, root juice quality parameters, top and root yieldse0
Direction
second best valuee0
Qualifier
in most cases in both growing seasonse0

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Beta vulgaris subsp. vulgaris
Beta vulgaris subsp. vulgaris · TaxonQuadell · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“application of 90 kg N/fad., induced the highest value of sugar yield and the second best value for each of yield components, root juice quality parameters, top and root yields without significant differences between them in most cases in both growing seasons”

✓ located verbatim in the source · abstract, characters 1398–1657 · show in text ↑
t0

“SUGAR BEET”

✓ located verbatim in the source · title, characters 87–97 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

The Cerialin and Rhizobacterin mixture produced the highest yield components, juice quality parameters and yields.

Treatment
the mixture of Cerialin and Rhizobacterine0
Outcome
yield components, most of root juice quality parameters and yieldse0
Direction
highest valuee0
Qualifier
in the two seasonse0

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Beta vulgaris subsp. vulgaris
Beta vulgaris subsp. vulgaris · TaxonQuadell · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Application the mixture of Cerialin and Rhizobacterin produced the highest value for each of yield components, most of root juice quality parameters and yields in the two seasons”

✓ located verbatim in the source · abstract, characters 1659–1837 · show in text ↑
t0

“SUGAR BEET”

✓ located verbatim in the source · title, characters 87–97 · show in text ↑

Beta vulgaris subsp. vulgaris · quality: general · Beta vulgaris (beet)Positive and negative results

11 papers: 10 positive, 1 negative or no effect

9 papers in the same direction as this paper · 1 in the opposite direction

  1. no effect
  2. positive
  3. positive

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See all 11 papers →

nitrogen · quality: sugar starch · Beta vulgaris (beet)Results differ

103 papers: 66 positive, 37 negative or no effect

65 papers in the same direction as this paper · 36 in the opposite direction · 1 reporting no difference from an alternative

  1. negative
  2. positive
  3. positive

99 papers more in this group

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nitrogen · quality: general · Beta vulgaris (beet)Positive and negative results

23 papers: 15 positive, 8 negative or no effect

14 papers in the same direction as this paper · 8 in the opposite direction

  1. negative
  2. no effect
  3. no effect

19 papers more in this group

See all 23 papers →

Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.