Internal Publication
Application of probit model to assess the adaptability of agricultural technologies in millet farming based on soil types in Chadakori commune of Maradi region, Niger
Millet is a crucial staple crop in Niger, yet its cultivation faces challenges from soil degradation and declining fertility. Effective agricultural technologies are crutial for sustainable soil fertility management and improved millet productivity. This study evaluates the adaptability of agricultural technologies on millet farming across different soil types in Chadakori commune, Maradi region, Niger, using a probit model. Data were collected through semi-structured interviews with 250 farmers via the Kobo Collect application. STATA software was used for analysis. Results reveal that compost technology significantly enhance millet yields on loamy soils (p = 0.00). However, on sandy soils, both simple and multifunctional half-moons show negative effects (p = 0.00 and p = 0.05, respectively). These findings highlight the need for specific technological interventions in soil. Adopting adapted soil management strategies can enhance agricultural resilience and productivity, contributing to sustainable land management practices. This research offers practical recommendations for policymakers and development organizations to tackle soil degradation challenges and support millet farming systems in Niger.
Uploaded by: Saminou Harouna HamissouAuthor: Hamissou, Saminou Harouna | ORCID: https://orcid.org/0009-0004-1565-459X
Co-author: Boubacar, Moussa Mamoudou | ORCID: https://orcid.org/0000-0001-7832-8506
Institution: Université Abdou Moumouni Niamey | Centre: West African German Centre for Sustainable Rural Transformation (WAC-SRT)
Type: Journal article | English
Subjects: Climate and Environment, Agriculture
Published in: Agrobiodiversity & Agroecology, ISSN 2564-4653 | Volume 04, Issue 1&2 (June & December 2024)
Publisher of document: Montreal: The Grassroots Institute
Date: 31 December 2024 | Pages: 63-75
https://doi.org/10.33002/aa041204
Copyright: © 2024 by the author(s). Licensee Agrobiodiversity & Agroecology | License: Creative Commons Attribution International Licence (CC BY 4.0).
