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Record W2018887755 · doi:10.4314/acsj.v9i4.27585

Legumes in soil fertility management: The case of pigeonpea in smallholder farming systems of Zimbabwe

2001· article· en· W2018887755 on OpenAlexfundno aff
Paul Mapfumo, B. M. Campbell, S. Mpepereki

Bibliographic record

VenueAfrican Crop Science Journal · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgronomic Practices and Intercropping Systems
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsSoil fertilityCroppingNutrient managementAgronomyAgroforestryAgricultureLegumeSoil managementBiologyAgricultural scienceSoil waterEcology

Abstract

fetched live from OpenAlex

We investigated the current use of legumes in soil fertility management and the feasibility of promoting use of pigeonpea in smallholder farming systems of a Communal Area in Northeast of Zimbabwe. Participatory rural appraisal methods were used to establish farmer management strategies and perceptions on major constraints to crop productivity. Soil fertility parameters were evaluated through farmer participatory experiments. The study revealed limited cultivation of legumes for both human nutrition and soil fertility management. Legumes were generally regarded as women's crops, and therefore minor, because of men's domination over women in the household decision-making process. Balancing gender interests in terms of allocation of inputs and distribution of benefits at household level was identified as a major challenge to the implementation of legume technologies. Poor extension thrusts with respect to legume production, and poor agronomic practices were identified as major production constraints. Over-emphasis on maize in the current extension packages led to the relegation of legumes to the status of 'minor crops'. Participatory experiments suggested that pigeonpea can be successfully grown by farmers under poor soil fertility conditions. The crop yielded about 3 to 9 t ha-1 of shoot biomass in a single cropping season, and up to 23 t ha-1 after two seasons of growth. High amounts leaf litter released by the crop in one season (up to 3 t ha-1) are considered a potentially viable source of nutrients for subsequent crops, as confirmed by a 22% maize yield increase obtained from a field that was previous cultivated with pigeonpea. RÉSUMÉ Les investigations sur l' utilisation des légumineuses dans la gestion de fertilité du sol ainsi que les possibilités d' incorporer le pois cajan dans le système agricole de petits fermiers ont été fait dans un milieu rural au Nord-Est du Zimbabwe. La méthode "Participatory rural appraisal" a été utilisée pour déterminer les stratégies de gestion du sol et les perceptions qui contribuent à la réduction de la productivité de la récolte. Les paramètres de fertilité du sol ont été analysés en collaboration avec des agriculteurs. Cette étude a révelé qu' il y a une utilisation limitée de légumineuses dans l' alimentation des gens ainsi que dans la gestion de fertilité du sol. Les légumineuses sont géneralement considérées commes la récolte pour les femmes, sur ce, de peu d' importance, et à cause de la domination des hommes dans la prise de décision dans le foyer. L'exécution des téchnologies d' incorporer les légumineuses dans le système de production agricole s' est heurtée à un problème majeur de domination de l'homme, ses préférences dans la répartition et la distributions des intrants et les bénéfices. Un autre problème identifié, c'est une vulgarisation très limitée de la production de légumineuses et une difficile adaptation agronomique de variétés de légumineuses qui sont déjà dans le système. Le système de vulgarisation existant s'est concentré plus sur la production du maïs, ce qui a mené à considérer les lègumineuses commes les plantes de moins d' importance. Les expériences participatives ont suggeré que le pois cajan peut être produit par les fermiers dans des sols moins fertiles. La production a été estimée de 3 à 9 t ha-1 de biomasse dans une seule saison de production, et de 23 t ha-1 après deux saisons. Une quantité considérable de litière de feuilles venant de plantes dans une seule saison (jusqu'a 3 t ha-1) est considéree comme une source importante de nutriments pour les plantes consécutives, comme l' augmention de 22% de production de maïs l'a confirmé après une culture de pois cajan. (Af Crop Science and Production: 2001 9(4): 629-644)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score0.267

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.255
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations37
Published2001
Admission routes1
Has abstractyes

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