Genetic dissection and genomic prediction of drought indices in bread wheat (Triticum aestivum L.) genotypes
Drought constitutes the main obstacle to agricultural productivity in the Central and West Asia and North Africa (CWANA) region, notably leading to substantial reduction in wheat yields due to terminal water stress. The adoption of drought...
Genome-wide scans for signatures of selection in North African sheep reveals differentially selected regions between fat- and thin-tailed breeds
North Africa counts several sheep breeds that can be categorized as fat- and thin-tailed. The former are well adapted to dryland environments. In this study, we used 50K genome-wide single nucleotide polymorphism profiles from 462 animals...
History and genetic diversity of African sheep: Contrastingphenotypic and genomic diversity
Domesticated sheep have adapted to contrasting and extreme environmentsand continue to play important roles in local community-based economiesthroughout Africa. Here we review the Neolithic migrations of thin-tailed sheepand the later...
Tailoring fertilizer rates to catena positions improves nutrient use efficiency of rice in inland valleys of West Africa
Context Rainfed rice production in inland valleys has the potential to improve food security in West Africa, yet the average grain yield ranges only between 1 and 3 t ha−1. Increased nutrient use efficiency through site-specific fertilizer...
Impact of climate change on the productivity and adaptation of Ethiopia's Bonga and Menz sheep breeds
This study aimed to derive novel phenotypes of sheep resilience and response to climate change, to estimate genetic parameters for novel phenotypes, and to evaluate the genetic correlation of resilience indicator traits with economically...
Unlocking watershed mysteries: Innovative regionalization of hydrological model parameters in data-scarce regions
Study region The Upper Blue Nile Basin in Ethiopia, characterized by its complex hydrological system, is the focus of this study. The basin includes 76 gauged watersheds, which were analyzed to estimate parameters for ungauged locations using...
Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration
Machine learning (ML) has become a powerful tool for predicting suspended sediment concentration (SSC). Nonetheless, the ability to interpret the physical process is considered the main issue in applying most of ML approaches. In this regard...
The Capacity of a Household Farming System with Women’s Decision and Action-Making Power: Rural Marginal Areas in Morocco
Nowadays, women’s contribution to society through their social and human involvement at the household level in terms of education, care, and nutrition, as well as their added value to economic functioning, is increasingly recognized. However...
Identification of heat tolerant lentil genotypes through stress tolerance indices
With climate change projections indicating an increase in the frequency of extreme heat events and irregular rainfall patterns globally, the threat to global food security looms large. Terminal heat stress, which occurs during the critical...
