Download
s42106-022-00220-5.pdf 4,29MB
WeightNameValue
1000 Titel
  • Assessment of Maize Yield Response to Agricultural Management Strategies Using the DSSAT–CERES-Maize Model in Trans Nzoia County in Kenya
1000 Autor/in
  1. Kipkulei, Harison Kiplagat |
  2. Bellingrath-Kimura, Sonoko Dorothea |
  3. Lana, Marcos |
  4. Ghazaryan, Gohar |
  5. Baatz, Roland |
  6. Boitt, Mark |
  7. Chisanga, Charles B. |
  8. Rotich, Brian |
  9. Sieber, Stefan |
1000 Erscheinungsjahr 2022
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-10-21
1000 Erschienen in
1000 Quellenangabe
  • 16(4):557-577
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s42106-022-00220-5 |
1000 Ergänzendes Material
  • https://link.springer.com/article/10.1007/s42106-022-00220-5#Sec20 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Maize production in low-yielding regions is influenced by climate variability, poor soil fertility, suboptimal agronomic practices, and biotic influences, among other limitations. Therefore, the assessment of yields to various management practices is, among others, critical for advancing site-specific measures for production enhancement. In this study, we conducted a multiseason calibration and evaluation of the DSSAT–CERES-Maize model to assess the maize yield response of two common cultivars grown in Trans Nzoia County in Kenya under various agricultural strategies, such as sowing dates, nitrogen fertilization, and water management. We then applied the Mann–Kendall (MK), and Sen’s Slope Estimator (SSE) tests to establish the yield trends and magnitudes of the different strategies. The evaluated model simulated long-term yields (1984–2021) and characterized production under various weather regimes. The model performed well in simulating the growth and development of the two cultivars, as indicated by the model evaluation results. The RMSE for yield was 333 and 239 kg ha−1 for H614 and KH600-23A, respectively, representing a relative error (RRMSE) of 8.1 and 5.1%. The management strategies assessment demonstrated significant feedback on sowing dates, nitrogen fertilization, and cultivars on maize yield. The sowing date conducted in mid-February under fertilization of 100 kg of nitrogen per hectare proved to be the best strategy for enhancing grain yields in the region. Under the optimum sowing dates and fertilization rate, the average yield for cultivar KH600-23A was 7.1% higher than that for H614. The MK and SSE tests revealed a significant (p < 0.05) modest downwards trend in the yield of the H614 cultivar compared to the KH600-23A. The eastern part of Trans Nzoia County demonstrated a consistent downwards trend for the vital yield enhancement strategies. Medium to high nitrogen levels revealed positive yield trends for more extensive coverage of the study area. Based on the results, we recommend the adoption of the KH600-23A cultivar which showed stability in yields under optimum nitrogen levels. Furthermore, we recommend measures that improve soil quality and structure in the western and northern parts, given the negative model response on maize yield in these areas. Knowledge of yield enhancement strategies and their spatial responses is of utmost importance for precision agricultural initiatives and optimization of maize production in Trans Nzoia County.
1000 Sacherschließung
lokal DSSAT
lokal Maize
lokal Trends
lokal GLUE
lokal CERES-Maize
lokal Calibration
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. http://orcid.org/0000-0003-0643-2077|https://frl.publisso.de/adhoc/uri/QmVsbGluZ3JhdGgtS2ltdXJhLCBTb25va28gRG9yb3RoZWE=|https://frl.publisso.de/adhoc/uri/TGFuYSwgTWFyY29z|https://frl.publisso.de/adhoc/uri/R2hhemFyeWFuLCBHb2hhcg==|https://frl.publisso.de/adhoc/uri/QmFhdHosIFJvbGFuZA==|https://frl.publisso.de/adhoc/uri/Qm9pdHQsIE1hcms=|https://frl.publisso.de/adhoc/uri/Q2hpc2FuZ2EsIENoYXJsZXMgQi4=|https://frl.publisso.de/adhoc/uri/Um90aWNoLCBCcmlhbg==|https://frl.publisso.de/adhoc/uri/U2llYmVyLCBTdGVmYW4=
1000 Label
1000 Förderer
  1. Projekt DEAL |
  2. Deutscher Akademischer Austauschdienst |
  3. Leibniz-Gemeinschaft |
1000 Fördernummer
  1. -
  2. 91770355
  3. -
1000 Förderprogramm
  1. Open Access funding
  2. enya-German Postgraduate Training Programme
  3. Open Access Fund
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Projekt DEAL |
    1000 Förderprogramm Open Access funding
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Deutscher Akademischer Austauschdienst |
    1000 Förderprogramm enya-German Postgraduate Training Programme
    1000 Fördernummer 91770355
  3. 1000 joinedFunding-child
    1000 Förderer Leibniz-Gemeinschaft |
    1000 Förderprogramm Open Access Fund
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6439285.rdf
1000 Erstellt am 2023-01-05T12:14:17.867+0100
1000 Erstellt von 317
1000 beschreibt frl:6439285
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Thu Jan 05 12:15:16 CET 2023
1000 Objekt bearb. Thu Jan 05 12:15:06 CET 2023
1000 Vgl. frl:6439285
1000 Oai Id
  1. oai:frl.publisso.de:frl:6439285 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source