ESTIMATING YIELDS AND YIELD GAPS: Experiences from East Africa - - PowerPoint PPT Presentation

estimating yields and yield gaps experiences from east
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ESTIMATING YIELDS AND YIELD GAPS: Experiences from East Africa - - PowerPoint PPT Presentation

ESTIMATING YIELDS AND YIELD GAPS: Experiences from East Africa Godfrey Taulya, Lydia Wairegi, Piet van Asten International Institute of Tropical Agriculture Institut international dagriculture tropicale www.iita.org PRESENTATION


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International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org

ESTIMATING YIELDS AND YIELD GAPS: Experiences from East Africa

Godfrey Taulya, Lydia Wairegi, Piet van Asten

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International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org

PRESENTATION OUTLINE

  • 1. General approach
  • 2. Yield estimation in banana/plantain systems
  • 3. On-farm monitoring study vs. one-time farm visit survey
  • 4. Non-destructive bunch weight estimation
  • 5. Yield-determining factors and yield gaps
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International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org

GENERAL APPROACH

  • 1. What is happening in

farmer fields ?

  • 2. Study single factors in

controlled environments

  • 3. Field validation and testing

for interactions

  • 4. Modeling to understand

interactions and extrapolate

  • 5. Proposing technologies for
  • n-farm testing
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International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org

Understanding existing spatial variability at regional scale

0 125 250 km

  • L. Kivu
  • L. Edward
  • L. Tanganyika
  • L. Victoria

Rwanda Uganda Tanzania Burundi DRCongo Kenya

30°E 35°E 0° 5°S

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International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org

Understanding existing spatial variability diagnostics at farm scale

Michael Okumu, Severine Delstanche

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International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org

YIELDS IN BANANA/PLANTAIN SYSTEMS

  • Integrative index for

impacts of:

  • constraints
  • cultural practices
  • Yield  bunch weight
  • Harvests are year-round
  • Temporal variations in

fresh bunch weight

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International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org

YIELD DATA COLLECTION BY FARMERS

  • One-time farm visits during surveys patchy data
  • Mature bunches may be weighed
  • Immature bunches: visual ‘guestimates’ + extrapolation
  • Farm monitoring studies comprehensive data
  • Challenge: Synchronizing farm visit with harvest operations
  • Yield data collection by farmers in monitoring studies
  • Extra demands on the farmer (time and labour)
  • Literacy/numeracy skills; accuracy and consistency in data
  • Restricting studies to literate farmers can bias datasets
  • Greater resource endowment, higher standard of management

are correlated with higher literacy levels

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International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org

ESTIMATION OF FRESH BUNCH WEIGHT

  • General allometric function for estimation of fresh bunch weight (FBW, kg)

at harvest was established through linear regression: Where:

  • H is number of hands per bunch
  • F is number of fingers on second-last hand
  • V is the pseudostem volume at 1-m above ground (cm3)
  • k is linear regression intercept while a, b and c are coefficients

Where:

  • G0 is girth at base of pseudostem (cm)
  • G1is girth at 100 cm above ground level (cm)
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International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org

Across regions in Uganda APPLICATION OF ALLOMETRIC FUNCTION Across cultivars in Uganda

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International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org

LIMITING FACTORS AND YIELD GAPS

  • Each farm was visited once in 4

to 6 weeks

  • Input data for the allometric

function were collected on flowered plants

  • Agronomic management/crop

environment, pest damage data were also collected

  • Boundary line analysis

identify the limiting factor/s and to quantify the yield gap due to each factor

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International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org

LIMITING FACTORS AND YIELD GAPS

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International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org

LIMITING FACTORS AND YIELD GAPS

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International Institute of Tropical Agriculture – Institut international d’agriculture tropicale – www.iita.org

  • Evaluation of yield-determining factors during plant growth,

and

  • Non-destructive estimation of bunch weights based on

allometry permit:  Identification of limiting factors  Quantification of yield-gap CONCLUSIONS