Field survey data on the effectiveness of agrometeorological services for smallholder farmers in Niger
The dataset contains the answers of smallholder farmers to a semi-structured field survey and the 2020 yield plot measurements conducted in 8 municipalities of the Dosso and Tillabéri regions in Niger. It is a systematic sampling of about 320 questionnaires and 192 yield plot samples equally distributed in eight municipalities of intervention. The dataset contains several pieces of information about the uptake and the impacts of a tailored climate service (CS) produced by the National Meteorological Service (NMS) and disseminated through a network that involves Ministry of Agriculture extension services at the municipal level developed in the context of the AdaptatioN Au changement Climatique, prévention des catastrophes et Développement agrIcole pour la sécurité Alimentaire du Niger (ANADIA) Project. The material gathered by the survey gives a picture of the preferences of local farmers in the broadcasting of climate services information and their consequent strategical and tactical decisions in farm practices. Moreover, the survey investigates the preferences regarding the information that farmers would like to receive during the cropping season. Furthermore, the measurement of yield and its relation to the farmers’ access to climate information and participation in training initiatives gives an indication of the impact of the CS on agricultural production in these regions. The dataset could benefit further studies and investigations about CSs for smallholder farmers in semi-arid regions. This article is a co-submission of the article: “Effectiveness of agrometeorological services for smallholder farmers: the case study in the regions of Dosso and Tillabéri in Niger” submitted to the journal Climate Services. https://doi.org/10.1016/j.cliser.2023.100360
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The aim of the survey is to measure the effectiveness of the Climate Services (CS) received by the farmers in the 8 municipalities of intervention of the AdaptatioN Au changement Climatique, prévention des catastrophes et Développement agrIcole pour la sécurité Alimentaire du Niger (ANADIA) project for the 2020 cropping season. The survey took place between the 7th and 20th of October 2020, during the harvest period of the rainfed crops in Niger, and it was conducted by the Project’s focal points in the municipalities with the support of the INRAN and ANADIA staff. The study was conceived as a systematic semi-structured survey over the eight municipalities with the aim of covering the different agro-climatic conditions of these regions. In each municipality, 4 villages were randomly selected. For security reasons, some areas in the Tillabéri region were inaccessible; therefore, these areas were not covered by the survey. The villages involved into the survey were: • Falmèy municipality: Djobbéizé Koara, Kantchoga Peulh, Koudjé and Malan Koira. • Gothèye municipality: Garbay Kourrou, Kobé, Sâya, Tallé. • Guéchémé municipality: Angoual Mâba, Guéchémé, Landara, Wassangou. • Kiéché municipality: Baboursayé, Gouala, Kallon Mota, Rouda Adoua. • Namaro municipality: Balati, Bangou Koarey Koira Zeno, Hondey Tegui, Yonkoto. • Ouro Gueladjo municipality: Diollaye Dialloubé, Diollaye Gourmabé, Diollaye Guédel, Diollaye Idikaou. • Tessa municipality: Bakoubé, Sinadey, Tessa, Tombo Tessa. • Tounouga municipality: Gondarou, Gôron Kondo, Sabon Birni, Tounouga. In these villages, 10 farmers were randomly selected to complete the survey for a total of 320 questionnaires. The sample was structured in the following way: five (5) farmers who did not receive training and five (5) farmers who had received agrometeorological training in four (4) villages were interviewed for each of the eight (8) implementation municipalities of the ANADIA project. Forty (40) questionnaires were filled in per municipality, for a total of three hundred and twenty (320) questionnaires. From these groups of farmers, three (3) trained and three (3) untrained farmers were randomly selected in four (4) villages for each municipality with the aim of measuring its crop yields. For each farmer, one (1) field was randomly selected where one (1) plot of 10x10 meter was harvested to measure the yield. In total, one hundred and ninety-two (192) yield plot samples were obtained. The crop harvested was weighted in fresh and in dry conditions in order to obtain the value of the yield per hectare. Moreover, for each plot sample, a set of ancillary agronomic data were collected to better frame the farming practices for the obtained yield. In particular, for each plot sample, the following data were collected: • Crop and variety and presence of secondary crops; • Owner’s field total area; • Sowing date; • Typical crop row spacing; • Number of planting pockets (traditional cropping system).
Agenzia Italiana per la Cooperazione allo Sviluppo