Paper · 2001 · DOAJ (DOAJ: Directory of Open Access Journals)

Development and validation of crop yield model

D. D. Yusuf

4
claims
7
verbatim quotes
1
citations
2
research areas
✓
Open access · cc-by-sa

Abstract

A 3-year on-farm trail at Samaru (11°11’N, 07°38’E) was conducted to develop and validate a new model that can predict maize grain yield from different cultivation practices. An empirical relationship was developed to predict grain yield using soil and management factors. The developed mathematical model was validated using field data. The model was evaluated using statistical indices. Modelling efficiency and root mean square error (RMSE) of 0.91 and 0.21 respectively were obtained. Results showed that tillage treatments and planting methods significantly affected the soil shear strength, soil moisture content and maize grain yield. Deep tilled plots showed higher grain yield than shallow tilled plots.

Abstract from the paper’s OpenAlex record; open copy licensed cc-by-sa. Read at the source ↗

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Claims 4

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The maize grain yield model had a modelling efficiency of 0.91 in validation against field data.

Taxon
maizeZea mayse1
Outcome
Modelling efficiencye0
Value
0.91e0

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

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“Modelling efficiency and root mean square error (RMSE) of 0.91 and 0.21 respectively”

✓ located verbatim in the source · abstract, characters 389–473 · show in text ↑
e1

“predict maize grain yield”

✓ located verbatim in the source · abstract, characters 111–136 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The maize grain yield model had a root mean square error of 0.21.

Taxon
maizeZea mayse1
Outcome
root mean square error (RMSE)e0
Value
0.21e0

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

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“Modelling efficiency and root mean square error (RMSE) of 0.91 and 0.21 respectively”

✓ located verbatim in the source · abstract, characters 389–473 · show in text ↑
e1

“predict maize grain yield”

✓ located verbatim in the source · abstract, characters 111–136 · show in text ↑
Intervention effectobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Tillage treatments and planting methods significantly affected soil shear strength, soil moisture content and maize grain yield.

Taxon
maizeZea mayse0
Treatment
tillage treatments and planting methodse0
Outcome
soil shear strength, soil moisture content and maize grain yielde0

Not reportedComparatorDirection

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

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“tillage treatments and planting methods significantly affected the soil shear strength, soil moisture content and maize grain yield”

✓ located verbatim in the source · abstract, characters 509–640 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Deep tilled plots gave higher maize grain yield than shallow tilled plots.

Taxon
maizeZea mayse1
Treatment
Deep tillede0
Outcome
grain yielde0
Direction
highere0
Comparator
shallow tilled plotse0

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

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“Deep tilled plots showed higher grain yield than shallow tilled plots”

✓ located verbatim in the source · abstract, characters 642–711 · show in text ↑
e1

“predict maize grain yield”

✓ located verbatim in the source · abstract, characters 111–136 · show in text ↑

tillage · yield · Zea mays (maize)Positive and negative results

1,099 papers: 812 positive, 287 negative or no effect

811 papers in the same direction as this paper · 230 in the opposite direction · 57 reporting no difference from an alternative

  1. no effect
  2. negative
  3. no effect

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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.