Paper · 2023 · International Journal of Agriculture Environment and Bioresearch

ABILITY OF FARMERS TO CORRECTLY ESTIMATE THE SEASONAL IMPACTS OF CLIMATIC FACTORS AND ENVIRONMENTAL-FRIENDLY FARM HABITAT MANAGEMENT PRACTICES ON THE VARIABILITY IN POTATO (Solanum tuberosum L.) YIELD, YIELD LOSS, DISEASE INCIDENCE AND PEST POPULATION DENSITY DYNAMIC IN KALEHE TERRITORY, SOUTH-KIVU PROVINCE, EASTERN DRCONGO

Théodore MUNYULI; Justin OMBENI; Bienfait BASHI; et al.

6
claims
9
verbatim quotes
0
citations
3
research areas
✓
Open access

Abstract

Potato (Solanum tuberosum L.) is an important cash and food security crop in the eastern highlands of eastern DRCongo.However, climate change and variability poses a serious risk to sustainable production of the crop.Potato production and productivity are seriously affected by temperature and rainfall variability.Hence, it is important to identify the degree of climate change in specific locality either by determining the perceptions of farmers on the change or and model the ability of farmers to predict correctly the role played by climatic factors among drivers of pests, diseases and yield variability.The aim of this study was to elicit information on potato farmers' perceptions of climate change impacts on potato yield, disease and pest and adaptation measures adopted.It was expected that the ability of farmers to predict drivers of variability in yield and yield loss may be useful in planning for the implementation of sound specific adaptation strategies.Primary data was collected using a questionnaire that was addressed to 340 respondents (20 respondents per village) from 17 villages (localities) in major altitudinal potato growing zones in Kalehe territory, South-Kivu Province.Using a semi-structured questionnaire, farmers were interviewed to capture their opinion about climatic events, landscape and farm management practices.Additional data was collected from the nearest meteorological station about weather factor trends in last 20-50 years.Monthly average data was considered in the analysis as it affects the seasonality response of pests and diseases during the length of growing period.Generalized linear models (GLM) were employed to analyze the ability of farmers to identify key factors influencing the variability of yield, pest population density and disease incidence and their linkage with the choice of adaptation strategies for potato production.GLM was run with the level of knowledge of causes of variability in yield, yield loss, pest density and disease incidence of the crop under different crop management (adaptation) options, cropping seasons, landscape and weather factors.The GLM outputs revealed ability of farmers to identify key drivers for pests, diseases incidence and yield loss variabilities.Some weather factors (maximum temperature, rainfall) had significant effects while other had none.The survey result indicated that most respondents perceived the existence of change in climate variables theses days.They perceived a decrease in rainfall and an increasing trend in temperature.They also mentioned a

Abstract from the paper’s OpenAlex record, shown for indexing and research. Copyright remains with the authors or the publisher. Read at the source ↗

The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.

Claims 6

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

GLM outputs showed that potato farmers could identify key drivers of pest variability, disease incidence and yield loss.

Taxon
Solanum tuberosum L.Solanum tuberosumt0
Outcome
ability of farmers to identify key drivers for pests, diseases incidence and yield loss variabilitiese0

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum tuberosum
Solanum tuberosum · TaxonScott Bauer, USDA ARS · Public domain · Wikimedia Commons ↗

Verbatim

e0

“The GLM outputs revealed ability of farmers to identify key drivers for pests, diseases incidence and yield loss variabilities.”

✓ located verbatim in the source · abstract, characters 2126–2253 · show in text ↑
t0

“POTATO (Solanum tuberosum L.)”

✓ located verbatim in the source · title, characters 165–194 · show in text ↑
Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Maximum temperature and rainfall had significant effects in the potato variability analysis, with direction unspecified.

Taxon
Solanum tuberosum L.Solanum tuberosumt0
Treatment
maximum temperature, rainfalle0
Outcome
effectse0

Not reportedDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum tuberosum
Solanum tuberosum · TaxonScott Bauer, USDA ARS · Public domain · Wikimedia Commons ↗

Verbatim

e0

“Some weather factors (maximum temperature, rainfall) had significant effects while other had none.”

✓ located verbatim in the source · abstract, characters 2253–2351 · show in text ↑
t0

“POTATO (Solanum tuberosum L.)”

✓ located verbatim in the source · title, characters 165–194 · show in text ↑
Associationobservedoriginal resultno effectmeasured

Claim · model-written summary

Other weather factors had no effects in the potato variability analysis.

Taxon
Solanum tuberosum L.Solanum tuberosumt0
Treatment
weather factorse0
Outcome
effectse0
Direction
nonee0
Qualifier
othere0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum tuberosum
Solanum tuberosum · TaxonScott Bauer, USDA ARS · Public domain · Wikimedia Commons ↗

Verbatim

e0

“Some weather factors (maximum temperature, rainfall) had significant effects while other had none.”

✓ located verbatim in the source · abstract, characters 2253–2351 · show in text ↑
t0

“POTATO (Solanum tuberosum L.)”

✓ located verbatim in the source · title, characters 165–194 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Most surveyed respondents perceived contemporary changes in climate variables.

Outcome
change in climate variablese0
Qualifier
most respondentse0

Not reportedTaxon

Verbatim

e0

“The survey result indicated that most respondents perceived the existence of change in climate variables theses days.”

✓ located verbatim in the source · abstract, characters 2351–2468 · show in text ↑

schema checkedfield values found in the cited quotesPermalinkReport an issue

Observationobservedoriginal resultmeasured

Claim · model-written summary

Respondents perceived decreasing rainfall.

Outcome
rainfalle0
Direction
decreasee0

Not reportedTaxon

Verbatim

e0

“They perceived a decrease in rainfall and an increasing trend in temperature.”

✓ located verbatim in the source · abstract, characters 2468–2545 · show in text ↑

schema checkedfield values found in the cited quotesPermalinkReport an issue

Observationobservedoriginal resultmeasured

Claim · model-written summary

Respondents perceived increasing temperature.

Outcome
temperaturee0
Direction
increasinge0

Not reportedTaxon

Verbatim

e0

“They perceived a decrease in rainfall and an increasing trend in temperature.”

✓ located verbatim in the source · abstract, characters 2468–2545 · show in text ↑

schema checkedfield values found in the cited quotesPermalinkReport an issue