Journal de génétique végétale et de sélection

Abstrait

To Produce a Breeding Population for Creating Drought-tolerant Cultivars in Tree Crops, a Unique Genotypic Selection Process is Used

Kumbura M

Family farms are a crucial part of the agroecological transition in Sahelian nations and around the world. In terms of agrobiodiversity management, cropping system diversity, and socioeconomic organization, they exhibit a variety of characteristics. The goal of decentralized participatory breeding methods is to keep the variety of varieties that are suitable for smallholder farmers' environments. In any case, the absence of a reasonable objective populace of conditions restricts the concentration and the proficiency of these methodologies given the huge enhancement of the neighborhood settings. In this study, we surveyed variables related to agrosystems, crop management options, and farmers' varietal evaluation criteria from 254 family farms sampled in 13 locations across the Niger region that would be the focus of a decentralized, participatory cowpea crop breeding program.

With the unfavorable impacts of environmental change, choosing the best open minded assortments to dry season pressure is profoundly important to support the yield and efficiency of rural harvests including tree crops. Due to their relatively short lifespan, however, traditional drought tolerance selection studies on tree crops have several limitations. Using yield data from existing elite tree populations, we propose a method to identify stable, high-yielding trees under shifting soil moisture conditions in this study. We foster this technique utilizing the information from a tropical tree palm, Coconut as a model harvest. Individual palms are considered distinct genotypes in our selection process. The method can effectively be used to identify elite genotypes of tree crops that are drought-tolerant because it takes into account both mean trait values and their stability across environments.

Using data from existing tree populations, we propose a framework for analysis to identify stable, high-yielding tree crops under low soil moisture conditions.

The regression-based coefficient and mean yield in various environments characterized by inter-annual rainfall variability were used to identify specific trees that produce stable and higher yields under soil moisture stress.

In breeding programs geared toward the creation of varieties that are drought-tolerant, the individual trees selected in this manner can serve as parental populations.