Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

PREDICTING THE CROP CYCLE FOR SUB-SAHARAN AFRICA: METHODS AND DEVICES

Domain:

agriculture

Record type:

paper
Creator:
Sav
Publisher:
Jou
Host:avatar
The purpose of this study is to address drought risk to cowpea farmers by identifying possible mixed lots of seed that spread risk. The method employed was a Poisson regression model using multi-year data for flowering time for 160 cowpea accessions. Two possible pairs of varieties for mixed seed release were identified, 1393-1-2-3(-) paired with Cameroon 12-58 and Sasaque paired with Tvu-9557. This study provides a new tool that can be used to predict the crop cycle for the lines and environments in the data set, which were in Pobe and Kamboinse, Burkina Faso. Further studies should consider consumer preferences, yield, disease resistance, and seed type.

Visit

doi.orgwww.er-journal.com

Tags

Statistical modelingPoisson regressionClimate changeCowpeaSeed Production

Similar

Obstetric hemorrhage: effective methods for addressing the menace in Sub-Saharan AfricaRoad connectivity, population, and crop production in Sub‐Saharan AfricaPredicting crop yields in Senegal using machine learning methodsDigital Crop-Disease Surveillance Systems in sub-Saharan AfricaPrecooling and Cold Storage Methods for Fruits and Vegetables in Sub-Saharan Africa—A ReviewFertilizer and soil health for sustained crop production in sub-Saharan Africa: Theory and conceptual framework

Obstetric hemorrhage: effective methods for addressing the menace in Sub-Saharan Africa

Abstract Obstetric hemorrhage is a serious emergency. It can occur late in pregnanc

Road connectivity, population, and crop production in Sub‐Saharan Africa

Abstract This study adopts a cross‐sectional spatial approach to examine the relationship between t

Predicting crop yields in Senegal using machine learning methods

Abstract Agriculture plays an important role in Senegalese economy and annual early warning predict

Digital Crop-Disease Surveillance Systems in sub-Saharan Africa

Precooling and Cold Storage Methods for Fruits and Vegetables in Sub-Saharan Africa—A Review

Fruits and vegetables, known for their large nutrient potential, are more susceptible to high postha

Fertilizer and soil health for sustained crop production in sub-Saharan Africa: Theory and conceptual framework

Source Agritrop Cirad (https://agritrop.cirad.fr/618055/) International audience Soil