Irrigation scheduling for potatoes (
biomass
canopy cover
crop modeling
crop water requirement
water use efficiency
Journal
Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200
Informations de publication
Date de publication:
2023
2023
Historique:
received:
18
06
2023
accepted:
12
09
2023
medline:
20
10
2023
pubmed:
20
10
2023
entrez:
20
10
2023
Statut:
epublish
Résumé
Potato is one of the key food crops and China is the largest potato producer in the world. However water scarcity is the major constraint to increase the productivity of potato in the arid regions such as Ningxia in northwest China where this crop is extensively cultivated. The overall objective of this study was to optimize the irrigation for potato cultivated under the drip irrigation. To do this, the AquaCrop model was calibrated and validated using the data obtained from two years of field experiment. Then, the calibrated crop model was used to simulate growth and tuber yield of potato in response to 30 different irrigation schemes under two different irrigation scenarios. The crop model evaluation parameters namely, the root mean square error (
Identifiants
pubmed: 37860247
doi: 10.3389/fpls.2023.1242074
pmc: PMC10584315
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1242074Informations de copyright
Copyright © 2023 Yin, Yang, Eeswaran, Yang, Ma and Sun.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Références
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pubmed: 26910008
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pubmed: 32603945
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pubmed: 34580320
Potato Res. 2023;66(2):543-562
pubmed: 36275407