Paper · 2024 · Turkish Journal of Agriculture - Food Science and Technology

The Effect of Irrigation on Crop Yield Change in Some Cereals in Drought Conditions Determined Using SPI and PNI: Ankara Province Example

Murat Özocak

7
claims
8
verbatim quotes
1
citations
2
research areas
✓
Open access · cc-by-nc

Abstract

In this study, Standard Precipitation Index (SPI) and Percent of Normal Index (PNI) values were found in order to determine the drought conditions between 2012-2020 in Ankara province. Drought severity interpretations were made according to the index values obtained and these values were evaluated together with some grain yields grown in the region. Separate regression analysis was performed between the different drought index values obtained within the scope of the study and the irrigated and dry agricultural yield values of wheat, barley and triticale. According to the index values calculated between 2012 and 2020 according to the SPI method, drought conditions are generally close to normal in the region. According to the PNI values, it was determined that 2013 had mildly dry conditions and other years had near-normal drought conditions. According to both indices, a drought close to normal was observed during the research period. In the regression analysis made according to wheat, barley and triticale yields, the highest linearity was obtained in barley, and values close to barley were found in triticale. Wheat is the cereal with the lowest linearity. The regression coefficients obtained as 0.4294 for barley, 0.3331 for triticale, and 0.0502 for wheat were found to be 0.0584 for SPI and 0.0013 for PNI. According to the results obtained, it can be said that statistically linearity is in barley and triticale. In average yields, an increase of 47% in wheat, 55% in barley and 34% in triticale was observed with irrigation. In order to ensure sustainable grain cultivation in drought conditions, it is recommended to expand modern irrigation practices in coordination with drought analysis studies and to increase scientific studies on this subject.

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Claims 7

Associationobservedoriginal resultmeasured

Claim · model-written summary

Barley had the highest linearity between drought indices and yield.

Outcome
highest linearitye0
Setting
regression analysise0

Not reportedDirection

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

Hordeum vulgare
Hordeum vulgare · TaxonJackyM59 · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“In the regression analysis made according to wheat, barley and triticale yields, the highest linearity was obtained in barley, and values close to barley were found in triticale.”

✓ located verbatim in the source · abstract, characters 946–1124 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Triticale had linearity close to barley between drought indices and yield.

Taxon
triticale×Triticosecalee0
Outcome
values close to barleye0
Comparator
barleye0

Not reportedDirection

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

x Triticosecale
×Triticosecale · Taxon · picture from its Wikimedia Commons categoryMiquel Pujol Palol · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“In the regression analysis made according to wheat, barley and triticale yields, the highest linearity was obtained in barley, and values close to barley were found in triticale.”

✓ located verbatim in the source · abstract, characters 946–1124 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Wheat had the lowest linearity between drought indices and yield.

Outcome
lowest linearitye0

Not reportedSettingDirection

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Wheat is the cereal with the lowest linearity.”

✓ located verbatim in the source · abstract, characters 1125–1171 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Irrigation increased average wheat yield by 47%.

Treatment
irrigatione0
Outcome
average yieldse0
Direction
increasee0
Value
47%e0

Not reportedComparator

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“In average yields, an increase of 47% in wheat, 55% in barley and 34% in triticale was observed with irrigation.”

✓ located verbatim in the source · abstract, characters 1433–1545 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Irrigation increased average barley yield by 55%.

Treatment
irrigatione0
Outcome
average yieldse0
Direction
increasee0
Value
55%e0

Not reportedComparator

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

Hordeum vulgare
Hordeum vulgare · TaxonJackyM59 · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“In average yields, an increase of 47% in wheat, 55% in barley and 34% in triticale was observed with irrigation.”

✓ located verbatim in the source · abstract, characters 1433–1545 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Irrigation increased average triticale yield by 34%.

Taxon
triticale×Triticosecalee0
Treatment
irrigatione0
Outcome
average yieldse0
Direction
increasee0
Value
34%e0

Not reportedComparator

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

x Triticosecale
×Triticosecale · Taxon · picture from its Wikimedia Commons categoryMiquel Pujol Palol · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“In average yields, an increase of 47% in wheat, 55% in barley and 34% in triticale was observed with irrigation.”

✓ located verbatim in the source · abstract, characters 1433–1545 · show in text ↑
Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

The authors recommend expanding modern irrigation practices with drought analysis for sustainable grain cultivation.

Outcome
expand modern irrigation practices in coordination with drought analysis studiese0

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“In order to ensure sustainable grain cultivation in drought conditions, it is recommended to expand modern irrigation practices in coordination with drought analysis studies and to increase scientific studies on this subject.”

✓ located verbatim in the source · abstract, characters 1546–1771 · show in text ↑
e1

“yield values of wheat, barley and triticale”

✓ located verbatim in the source · abstract, characters 516–559 · show in text ↑

irrigation · yield · Hordeum vulgare (barley)Results differ

109 papers: 83 positive, 26 negative or no effect

82 papers in the same direction as this paper · 26 in the opposite direction

  1. no effect
  2. negative
  3. negative

105 papers more in this group

See all 109 papers →

irrigation · yield · x Triticosecale (triticale)Positive and negative results

12 papers: 10 positive, 2 negative or no effect

9 papers in the same direction as this paper · 2 in the opposite direction

  1. negative
  2. negative
  3. positive

8 papers more in this group

See all 12 papers →

irrigation · yield · Triticum aestivum (wheat)Positive and negative results

989 papers: 798 positive, 191 negative or no effect

797 papers in the same direction as this paper · 184 in the opposite direction · 7 reporting no difference from an alternative

  1. positive
  2. negative
  3. no effect

985 papers more in this group

See all 989 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.