Paper · 2022 · Field Crops Research

Narrowing crop yield gaps in Ethiopia under current and future climate: A model-based exploration of intensification options and their trade-offs with the water balance

Mezegebu Getnet; Katrien Descheemaeker; Martin K. van Ittersum; et al.

15
claims
30
verbatim quotes
28
citations
2
research areas
✓
Open access · cc-by

Abstract

In the Central Rift Valley of Ethiopia (CRV), actual productivity of most cereals is less than 3 t ha−1 associated with low input use and poor crop management. After calibrating and validating the Agricultural Production System Simulator (APSIM) using experimental data, we explored and prioritized promising intensification options for rainfed maize and wheat that enable to narrow prevailing yield gaps in the CRV, and quantified trade-offs with the water balance and gross margins. We set up a factorial simulation experiment combining Genetic x Environment x Management factors that influence crop yield and water use at field scale to simulate yield and water balance components under current and future climate scenarios (pessimistic scenario for mid-century). Varietal selection and nitrogen (N) fertilization were the most important factors contributing to yield gap closure. Although yields were maximized with N application rates up to 250 kg−1 in most soils and varieties, maximum gross margin and maximum water use efficiency (WUE) were attained at lower N rates, associated with a small yield reduction compared to the maximum. There was a trade-off between intensification and increased absolute water use through transpiration, while the water use per kg product was decreased. However, location-specific N application rates that allow producing at least 80% of the water-limited potential yield (Yw) of maize and wheat resulted in high water use efficiencies as well as favorable cost-benefit ratios. Climate change was projected to lower yield as it advanced maturity, and to result in decreased drainage and increased soil evaporation across all variety, location and management combinations for both crops. Climate change reduced crop yield by 15–25% for wheat and 2–30% for maize. We conclude that the locally-calibrated APSIM model could be used to derive key lessons from the genetic, environment and management interactions, and generate information on sustainable intensification pathways that combine narrowing yield gaps with maximizing WUE and gross margins.

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

The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.

Claims 15

Observationobservedoriginal resultmeasured

Claim · model-written summary

Actual productivity of most cereals in the Central Rift Valley of Ethiopia is less than 3 t ha−1.

Taxon
cerealse0
Outcome
actual productivitye0
Value
less than 3 t ha−1e0
Setting
Central Rift Valley of Ethiopiae0

Verbatim

e0

“In the Central Rift Valley of Ethiopia (CRV), actual productivity of most cereals is less than 3 t ha−1 associated with low input use and poor crop management”

✓ located verbatim in the source · abstract, characters 0–158 · show in text ↑
Associationobservedoriginal resultpositivesimulated

Claim · model-written summary

Varietal selection and nitrogen fertilization were the most important factors for closing yield gaps.

Taxon
maize and wheatTriticum aestivumZea mayse0
Treatment
Varietal selection and nitrogen (N) fertilizatione1
Outcome
yield gap closuree1
Direction
increaseinferrede1

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

Verbatim

e0

“we explored and prioritized promising intensification options for rainfed maize and wheat”

✓ located verbatim in the source · abstract, characters 271–360 · show in text ↑
e1

“Varietal selection and nitrogen (N) fertilization were the most important factors contributing to yield gap closure”

✓ located verbatim in the source · abstract, characters 767–882 · show in text ↑
Intervention effectobservedoriginal resultpositivesimulated

Claim · model-written summary

Nitrogen application rates up to 250 kg−1 maximized simulated yields.

Taxon
maize and wheatTriticum aestivumZea mayse0
Treatment
N application rates up to 250 kg−1e1
Outcome
yieldse1
Direction
maximizede1

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

Verbatim

e0

“we explored and prioritized promising intensification options for rainfed maize and wheat”

✓ located verbatim in the source · abstract, characters 271–360 · show in text ↑
e1

“yields were maximized with N application rates up to 250 kg−1”

✓ located verbatim in the source · abstract, characters 893–954 · show in text ↑
Intervention effectobservedoriginal resultpositivesimulated

Claim · model-written summary

Lower N rates gave the maximum simulated gross margin, with a small yield reduction compared to the maximum.

Taxon
maize and wheatTriticum aestivumZea mayse0
Treatment
lower N ratese1
Outcome
gross margine1
Direction
maximume1
Qualifier
associated with a small yield reduction compared to the maximume1

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

Verbatim

e0

“we explored and prioritized promising intensification options for rainfed maize and wheat”

✓ located verbatim in the source · abstract, characters 271–360 · show in text ↑
e1

“maximum gross margin and maximum water use efficiency (WUE) were attained at lower N rates, associated with a small yield reduction compared to the maximum”

✓ located verbatim in the source · abstract, characters 984–1139 · show in text ↑
Intervention effectobservedoriginal resultpositivesimulated

Claim · model-written summary

Lower N rates gave the maximum simulated water use efficiency.

Taxon
maize and wheatTriticum aestivumZea mayse0
Treatment
lower N ratese1
Outcome
water use efficiency (WUE)e1
Direction
maximume1

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

Verbatim

e0

“we explored and prioritized promising intensification options for rainfed maize and wheat”

✓ located verbatim in the source · abstract, characters 271–360 · show in text ↑
e1

“maximum gross margin and maximum water use efficiency (WUE) were attained at lower N rates, associated with a small yield reduction compared to the maximum”

✓ located verbatim in the source · abstract, characters 984–1139 · show in text ↑
Associationobservedoriginal resultmixedsimulated

Claim · model-written summary

Intensification was associated with increased absolute water use through transpiration.

Taxon
maize and wheatTriticum aestivumZea mayse0
Treatment
intensificatione1
Outcome
absolute water use through transpiratione1
Direction
increasede1

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

Verbatim

e0

“we explored and prioritized promising intensification options for rainfed maize and wheat”

✓ located verbatim in the source · abstract, characters 271–360 · show in text ↑
e1

“There was a trade-off between intensification and increased absolute water use through transpiration”

✓ located verbatim in the source · abstract, characters 1141–1241 · show in text ↑
Associationobservedoriginal resultpositivesimulated

Claim · model-written summary

Intensification decreased the water use per kg of product.

Taxon
maize and wheatTriticum aestivumZea mayse0
Treatment
intensificatione1
Outcome
water use per kg producte2
Direction
decreasede2

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

Verbatim

e0

“we explored and prioritized promising intensification options for rainfed maize and wheat”

✓ located verbatim in the source · abstract, characters 271–360 · show in text ↑
e1

“There was a trade-off between intensification and increased absolute water use through transpiration”

✓ located verbatim in the source · abstract, characters 1141–1241 · show in text ↑
e2

“while the water use per kg product was decreased”

✓ located verbatim in the source · abstract, characters 1243–1291 · show in text ↑
Intervention effectobservedoriginal resultpositivesimulated

Claim · model-written summary

Location-specific N rates giving at least 80% of water-limited potential yield resulted in high water use efficiencies.

Taxon
maize and wheatTriticum aestivumZea mayse1
Treatment
location-specific N application rates that allow producing at least 80% of the water-limited potential yield (Yw)e1
Outcome
water use efficienciese1
Direction
highe1

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

Verbatim

e0

“we explored and prioritized promising intensification options for rainfed maize and wheat”

✓ located verbatim in the source · abstract, characters 271–360 · show in text ↑
e1

“location-specific N application rates that allow producing at least 80% of the water-limited potential yield (Yw) of maize and wheat resulted in high water use efficiencies as well as favorable cost-benefit ratios”

✓ located verbatim in the source · abstract, characters 1302–1515 · show in text ↑
Intervention effectobservedoriginal resultpositivesimulated

Claim · model-written summary

The same location-specific N rates gave favorable cost-benefit ratios.

Taxon
maize and wheatTriticum aestivumZea mayse1
Treatment
location-specific N application rates that allow producing at least 80% of the water-limited potential yield (Yw)e1
Outcome
cost-benefit ratiose1
Direction
favorablee1

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

Verbatim

e0

“we explored and prioritized promising intensification options for rainfed maize and wheat”

✓ located verbatim in the source · abstract, characters 271–360 · show in text ↑
e1

“location-specific N application rates that allow producing at least 80% of the water-limited potential yield (Yw) of maize and wheat resulted in high water use efficiencies as well as favorable cost-benefit ratios”

✓ located verbatim in the source · abstract, characters 1302–1515 · show in text ↑
Intervention effectobservedoriginal resultnegativeprojected

Claim · model-written summary

Climate change was projected to lower crop yield as maturity advanced.

Taxon
maize and wheatTriticum aestivumZea mayse0
Treatment
Climate changee1
Outcome
yielde1
Direction
lowere1
Qualifier
as it advanced maturitye1

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

Verbatim

e0

“we explored and prioritized promising intensification options for rainfed maize and wheat”

✓ located verbatim in the source · abstract, characters 271–360 · show in text ↑
e1

“Climate change was projected to lower yield as it advanced maturity”

✓ located verbatim in the source · abstract, characters 1517–1584 · show in text ↑
Intervention effectobservedoriginal resultprojected

Claim · model-written summary

Climate change was projected to decrease drainage.

Taxon
maize and wheatTriticum aestivumZea mayse0
Treatment
Climate changee1
Outcome
drainagee2
Direction
decreasede2

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

Verbatim

e0

“we explored and prioritized promising intensification options for rainfed maize and wheat”

✓ located verbatim in the source · abstract, characters 271–360 · show in text ↑
e1

“Climate change was projected to lower yield as it advanced maturity”

✓ located verbatim in the source · abstract, characters 1517–1584 · show in text ↑
e2

“to result in decreased drainage and increased soil evaporation across all variety, location and management combinations for both crops”

✓ located verbatim in the source · abstract, characters 1590–1724 · show in text ↑
Intervention effectobservedoriginal resultprojected

Claim · model-written summary

Climate change was projected to increase soil evaporation.

Taxon
maize and wheatTriticum aestivumZea mayse0
Treatment
Climate changee1
Outcome
soil evaporatione2
Direction
increasede2

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

Verbatim

e0

“we explored and prioritized promising intensification options for rainfed maize and wheat”

✓ located verbatim in the source · abstract, characters 271–360 · show in text ↑
e1

“Climate change was projected to lower yield as it advanced maturity”

✓ located verbatim in the source · abstract, characters 1517–1584 · show in text ↑
e2

“to result in decreased drainage and increased soil evaporation across all variety, location and management combinations for both crops”

✓ located verbatim in the source · abstract, characters 1590–1724 · show in text ↑
Intervention effectobservedoriginal resultnegativeprojected

Claim · model-written summary

Climate change reduced wheat crop yield by 15–25%.

Treatment
Climate changee0
Outcome
crop yielde0
Direction
reducede0
Value
15–25%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

“Climate change reduced crop yield by 15–25% for wheat and 2–30% for maize”

✓ located verbatim in the source · abstract, characters 1726–1799 · show in text ↑
Intervention effectobservedoriginal resultnegativeprojected

Claim · model-written summary

Climate change reduced maize crop yield by 2–30%.

Taxon
maizeZea mayse0
Treatment
Climate changee0
Outcome
crop yielde0
Direction
reducede0
Value
2–30%e0

Not reportedComparator

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

“Climate change reduced crop yield by 15–25% for wheat and 2–30% for maize”

✓ located verbatim in the source · abstract, characters 1726–1799 · show in text ↑
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The locally-calibrated APSIM model could be used to derive lessons and sustainable intensification pathways for maize and wheat.

Taxon
maize and wheatTriticum aestivumZea mayse0
Outcome
the locally-calibrated APSIM modele1

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

Verbatim

e0

“we explored and prioritized promising intensification options for rainfed maize and wheat”

✓ located verbatim in the source · abstract, characters 271–360 · show in text ↑
e1

“We conclude that the locally-calibrated APSIM model could be used to derive key lessons from the genetic, environment and management interactions”

✓ located verbatim in the source · abstract, characters 1801–1946 · show in text ↑

climate site · physiology: water · Zea mays (maize)Positive and negative results

6 papers: 4 positive, 2 negative or no effect

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

  1. negative
  2. negative
  3. positive

2 papers more in this group

See all 6 papers →

climate site · physiology: water · Triticum aestivum (wheat)Positive and negative results

8 papers: 4 positive, 4 negative or no effect

3 papers in the same direction as this paper · 4 in the opposite direction

  1. negative
  2. negative
  3. negative

4 papers more in this group

See all 8 papers →

nitrogen · physiology: water · Zea mays (maize)Positive and negative results

61 papers: 52 positive, 9 negative or no effect

51 papers in the same direction as this paper · 6 in the opposite direction · 3 reporting no difference from an alternative

  1. negative
  2. negative
  3. no effect

57 papers more in this group

See all 61 papers →

nitrogen · physiology: water · Triticum aestivum (wheat)Positive and negative results

101 papers: 88 positive, 13 negative or no effect

87 papers in the same direction as this paper · 9 in the opposite direction · 4 reporting no difference from an alternative

  1. no effect
  2. no effect
  3. no effect

97 papers more in this group

See all 101 papers →

climate site · yield · Triticum aestivum (wheat)Positive and negative results

154 papers: 72 positive, 82 negative or no effect

71 papers in the same direction as this paper · 79 in the opposite direction · 3 reporting no difference from an alternative

  1. negative
  2. negative
  3. negative

150 papers more in this group

See all 154 papers →

climate site · yield · Zea mays (maize)Positive and negative results

180 papers: 102 positive, 78 negative or no effect

101 papers in the same direction as this paper · 73 in the opposite direction · 5 reporting no difference from an alternative

  1. negative
  2. negative
  3. negative

176 papers more in this group

See all 180 papers →

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

2,061 papers: 1,737 positive, 324 negative or no effect

1,736 papers in the same direction as this paper · 285 in the opposite direction · 39 reporting no difference from an alternative

  1. negative
  2. negative
  3. negative

2,057 papers more in this group

See all 2,061 papers →

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

2,185 papers: 1,906 positive, 279 negative or no effect

1,905 papers in the same direction as this paper · 234 in the opposite direction · 45 reporting no difference from an alternative

  1. positive
  2. positive
  3. negative

2,181 papers more in this group

See all 2,185 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.