New Sweet Potato Genotypes: Analysis of Agronomic Potential

Fishua J. U. Dango (), Darllan J. L. S. F. Oliveira, Maria E. F. Otoboni, Bruno E. Pavan, Maria I. V. Andrade and Pablo F. Vargas
Additional contact information
Fishua J. U. Dango: Department of Genetics and Plant Breeding, School of Agricultural and Veterinary Sciences (FCAV), São Paulo State University “Júlio de Mesquita Filho”, Jaboticabal Campus, Teacher Access Route Paulo Donato Castellane, Industrial Village, Jaboticabal 14884-900, SP, Brazil
Darllan J. L. S. F. Oliveira: Department of Genetics and Plant Breeding, School of Agricultural and Veterinary Sciences (FCAV), São Paulo State University “Júlio de Mesquita Filho”, Jaboticabal Campus, Teacher Access Route Paulo Donato Castellane, Industrial Village, Jaboticabal 14884-900, SP, Brazil
Maria E. F. Otoboni: Department of Crop Science, Food Technology, and Socioeconomics, School of Engineering (FEIS), São Paulo State University “Júlio de Mesquita Filho”, Ilha Solteira Campus, Road Monção, North Zone, Ilha Solteira 15385-000, SP, Brazil
Bruno E. Pavan: Department of Crop Science, Food Technology, and Socioeconomics, School of Engineering (FEIS), São Paulo State University “Júlio de Mesquita Filho”, Ilha Solteira Campus, Road Monção, North Zone, Ilha Solteira 15385-000, SP, Brazil
Maria I. V. Andrade: International Potato Center, VA FPLM 2690, Maputo P.O. Box 2100, Mozambique
Pablo F. Vargas: Department of Agronomy and Natural Resources, School of Agricultural Sciences of the Ribeira Valley (FCAVR), São Paulo State University “Júlio de Mesquita Filho”, Campus Ribeira Valley, VA Nelson Brihi Badur, Vila Tupy, Registro 11900-000, SP, Brazil

Agriculture, 2025, vol. 15, issue 20, 1-20

Abstract: The quantification of genotype x environment interaction is essential for recommending high-yielding genotypes for both favorable and unfavorable environments, thereby increasing production. This study aimed to evaluate the agronomic performance of sweet potato genotypes in the central–east and central–south regions of São Paulo. The experiments were conducted using a randomized block design with 9 plants per plot and 3 replications, consisting of 18 sweet potato genotypes and 3 commercial cultivars, totaling 21 treatments. The characteristics, such as commercial productivity, dry matter, chroma, hue, insect resistance, eyes, and lenticels showed genotype x environment interaction for 77.78% of the variables. The maximum productivity of the genotypes ranged from 31.81 t/ha −1 to 63.60 t/ha −1 . Heritability was observed in 88.89% of the analyzed traits, with values ranging from 75.36% to 93.47%, indicating a significant genetic influence on the evaluated characteristics. Location 4 (first cycle in Botucatu, 20 December 2021) was superior and considered the most suitable for sweet potato cultivation. The genotypes CERAT60-05, CERAT56-23, CERAT60-26, and CERAT35-11 performed best, showing promise as new cultivars.

Keywords: Ipomoea batatas; genetic parameters; heritability (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2077-0472/15/20/2168/pdf (application/pdf)
https://www.mdpi.com/2077-0472/15/20/2168/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:15:y:2025:i:20:p:2168-:d:1774733

Access Statistics for this article

Agriculture is currently edited by Ms. Leda Xuan

More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().