Integrating Participatory Data Acquisition and Modelling of Irrigation Strategies to Enhance Water Productivity in a Small-Scale Irrigation Scheme in Tigray, Ethiopia

Solomon Habtu*, Teklu Erkossa, Jochen Froebrich, Filmon Tquabo, Degol Fissehaye, Tesfay Kidanemariam, Cai Xueliang

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

Application of participatory modelling to water-saving strategies in smallholder farming is rare. Farmer-preferred and efficient strategies were identified through participatory modelling. The farmers' basin irrigation and scheduling (I), farmers' scheduling with furrow strategy (II), farmers' scheduling with alternate furrow strategy (III) and scheduling at 55% maximum allowable depletion (MAD) (IV) were evaluated for maize (Zea mais) and barley (Hordeum vulgare) using the FAO AquaCrop model. The results showed that I resulted in over-irrigation for maize and under-irrigation for barley, while IV resulted in maximum yield (8.6 t ha-1 for maize and 2 t ha-1 for barley) with maximum (1.8 kg m-3) and minimum (0.8 kg m-3) water productivity of maize under IV and I, respectively. A shift from I to IV (most preferred strategy by farmers) can save 8440 mm of water, which can possibly bring back 18.5 ha of land into irrigation. It is essential to interact with farmers on a basis of mutual comprehension to increase their trust and to lay a base for discussion, awareness raising and decision making. The transdisciplinary approach, Community of Practice (CoP) and Learning Practice Alliance (LPA) were appropriate platforms for participation. The increased crop yield and water productivity may contribute to ecological and economical sustainability and social equity.

Original languageEnglish
Number of pages15
JournalIrrigation and Drainage
DOIs
Publication statusE-pub ahead of print - Jan 2018

Fingerprint

irrigation management
Ethiopia
data acquisition
maize
barley
irrigation
farmers
productivity
modeling
water
furrows
corn
Food and Agricultural Organization
smallholder
basin irrigation
crop yield
equity
small-scale farming
learning
decision making

Keywords

  • Application d'eau sur le terrain
  • AquaCrop model
  • Bilan hydrique
  • Crop yield
  • Field water application
  • Modèle AquaCrop
  • Modélisation participative
  • Participatory modelling
  • Rendement des cultures
  • Water balance

Cite this

@article{f254401c6fd64d3cb4a0dc2d21ad6d14,
title = "Integrating Participatory Data Acquisition and Modelling of Irrigation Strategies to Enhance Water Productivity in a Small-Scale Irrigation Scheme in Tigray, Ethiopia",
abstract = "Application of participatory modelling to water-saving strategies in smallholder farming is rare. Farmer-preferred and efficient strategies were identified through participatory modelling. The farmers' basin irrigation and scheduling (I), farmers' scheduling with furrow strategy (II), farmers' scheduling with alternate furrow strategy (III) and scheduling at 55{\%} maximum allowable depletion (MAD) (IV) were evaluated for maize (Zea mais) and barley (Hordeum vulgare) using the FAO AquaCrop model. The results showed that I resulted in over-irrigation for maize and under-irrigation for barley, while IV resulted in maximum yield (8.6 t ha-1 for maize and 2 t ha-1 for barley) with maximum (1.8 kg m-3) and minimum (0.8 kg m-3) water productivity of maize under IV and I, respectively. A shift from I to IV (most preferred strategy by farmers) can save 8440 mm of water, which can possibly bring back 18.5 ha of land into irrigation. It is essential to interact with farmers on a basis of mutual comprehension to increase their trust and to lay a base for discussion, awareness raising and decision making. The transdisciplinary approach, Community of Practice (CoP) and Learning Practice Alliance (LPA) were appropriate platforms for participation. The increased crop yield and water productivity may contribute to ecological and economical sustainability and social equity.",
keywords = "Application d'eau sur le terrain, AquaCrop model, Bilan hydrique, Crop yield, Field water application, Mod{\`e}le AquaCrop, Mod{\'e}lisation participative, Participatory modelling, Rendement des cultures, Water balance",
author = "Solomon Habtu and Teklu Erkossa and Jochen Froebrich and Filmon Tquabo and Degol Fissehaye and Tesfay Kidanemariam and Cai Xueliang",
year = "2018",
month = "1",
doi = "10.1002/ird.2235",
language = "English",
journal = "Irrigation and Drainage",
issn = "1531-0353",
publisher = "Wiley",

}

Integrating Participatory Data Acquisition and Modelling of Irrigation Strategies to Enhance Water Productivity in a Small-Scale Irrigation Scheme in Tigray, Ethiopia. / Habtu, Solomon; Erkossa, Teklu; Froebrich, Jochen; Tquabo, Filmon; Fissehaye, Degol; Kidanemariam, Tesfay; Xueliang, Cai.

In: Irrigation and Drainage, 01.2018.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Integrating Participatory Data Acquisition and Modelling of Irrigation Strategies to Enhance Water Productivity in a Small-Scale Irrigation Scheme in Tigray, Ethiopia

AU - Habtu, Solomon

AU - Erkossa, Teklu

AU - Froebrich, Jochen

AU - Tquabo, Filmon

AU - Fissehaye, Degol

AU - Kidanemariam, Tesfay

AU - Xueliang, Cai

PY - 2018/1

Y1 - 2018/1

N2 - Application of participatory modelling to water-saving strategies in smallholder farming is rare. Farmer-preferred and efficient strategies were identified through participatory modelling. The farmers' basin irrigation and scheduling (I), farmers' scheduling with furrow strategy (II), farmers' scheduling with alternate furrow strategy (III) and scheduling at 55% maximum allowable depletion (MAD) (IV) were evaluated for maize (Zea mais) and barley (Hordeum vulgare) using the FAO AquaCrop model. The results showed that I resulted in over-irrigation for maize and under-irrigation for barley, while IV resulted in maximum yield (8.6 t ha-1 for maize and 2 t ha-1 for barley) with maximum (1.8 kg m-3) and minimum (0.8 kg m-3) water productivity of maize under IV and I, respectively. A shift from I to IV (most preferred strategy by farmers) can save 8440 mm of water, which can possibly bring back 18.5 ha of land into irrigation. It is essential to interact with farmers on a basis of mutual comprehension to increase their trust and to lay a base for discussion, awareness raising and decision making. The transdisciplinary approach, Community of Practice (CoP) and Learning Practice Alliance (LPA) were appropriate platforms for participation. The increased crop yield and water productivity may contribute to ecological and economical sustainability and social equity.

AB - Application of participatory modelling to water-saving strategies in smallholder farming is rare. Farmer-preferred and efficient strategies were identified through participatory modelling. The farmers' basin irrigation and scheduling (I), farmers' scheduling with furrow strategy (II), farmers' scheduling with alternate furrow strategy (III) and scheduling at 55% maximum allowable depletion (MAD) (IV) were evaluated for maize (Zea mais) and barley (Hordeum vulgare) using the FAO AquaCrop model. The results showed that I resulted in over-irrigation for maize and under-irrigation for barley, while IV resulted in maximum yield (8.6 t ha-1 for maize and 2 t ha-1 for barley) with maximum (1.8 kg m-3) and minimum (0.8 kg m-3) water productivity of maize under IV and I, respectively. A shift from I to IV (most preferred strategy by farmers) can save 8440 mm of water, which can possibly bring back 18.5 ha of land into irrigation. It is essential to interact with farmers on a basis of mutual comprehension to increase their trust and to lay a base for discussion, awareness raising and decision making. The transdisciplinary approach, Community of Practice (CoP) and Learning Practice Alliance (LPA) were appropriate platforms for participation. The increased crop yield and water productivity may contribute to ecological and economical sustainability and social equity.

KW - Application d'eau sur le terrain

KW - AquaCrop model

KW - Bilan hydrique

KW - Crop yield

KW - Field water application

KW - Modèle AquaCrop

KW - Modélisation participative

KW - Participatory modelling

KW - Rendement des cultures

KW - Water balance

U2 - 10.1002/ird.2235

DO - 10.1002/ird.2235

M3 - Article

JO - Irrigation and Drainage

JF - Irrigation and Drainage

SN - 1531-0353

ER -