© The Authors, 2025, Published by the Universidad del Zulia*Corresponding author:rinfante@uach.mx
Keywords:
Chiltepín
RAPD
Diversidad genética
Descriptores morfológicos
Morphological and genetic variability of chili pepper (Capsicum annuum L.) populations
from northern of Mexico
Variabilidad morfológica y genética de poblaciones de chile (Capsicum annuum L.) del norte de
México
Variabilidade morfológica e genética de populações de pimenta (Capsicum annuum L.) do norte do
México
Karina C. Ibarra-Legarda
1,2
Rocío Infante-Ramirez
2*
Loreto Robles-Hernández
1
Ana C. Gonzalez-Franco
1
Zilia Y. Muñoz-Ramirez
2
Ma. Carmen E. Delgado-Gardea
2
Rev. Fac. Agron. (LUZ). 2025, 42(2): e254218
ISSN 2477-9407
DOI: https://doi.org/10.47280/RevFacAgron(LUZ).v42.n2.II
Crop production
Associate editor: Dr. Jorge Vilchez-Perozo
University of Zulia, Faculty of Agronomy
Bolivarian Republic of Venezuela
1
Universidad Autónoma de Chihuahua, Facultad de Ciencias
Agrotecnológicas, Ciudad Universitaria S/N Campus 1,
Chihuahua, Chih. 31310, México.
2
Universidad Autónoma de Chihuahua, Facultad de Ciencias
Químicas, Campus 1I, Chihuahua, Chih. 31310, México.
Received: 06-02-2025
Accepted: 12-03-2025
Published: 14-04-2025
Abstract
This study investigated the genetic and morphological variability
of ve domesticated chili varieties (Árbol, Güerito, Mirasol, Negro
and Alcalá) and one wild variety (chiltepín) from Chihuahua,
Mexico. Morphological evaluation was carried out according to
the International Plant Genetic Resources Institute, combining
correspondence analyses and Chi-square tests. Genetic variability
was determined using the RAPD technique; a dendrogram
was constructed, and genetic diversity among populations was
estimated using principal coordinate methods, Shannon index, and
permutational multivariate analysis. The morphological analysis
revealed signicant variations, while the genetic analysis, using
the RAPD technique, showed 79.5 % polymorphism, indicating
considerable diversity among the varieties. The dendrogram
revealed the presence of three groups, highlighting chiltepín
as potential ancestor of the domesticated varieties. The study
emphasizes the importance of conserving and improving these plant
genetic resources.
This scientic publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818.
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2-6 |
Resumen
Este estudio investigó la variabilidad morfológica y genética de
cinco variedades de chile domesticadas (Árbol, Güerito, Mirasol,
Negro y Alcalá) y una silvestre (chiltepín) de Chihuahua, México.
La evaluación morfológica se realizó de acuerdo con el Instituto
Internacional de Recursos Fitogenéticos, combinando análisis de
correspondencias y pruebas de Chi cuadrada. La variabilidad genética
se determinó con la técnica RAPD, construyéndose un dendrograma
y estimándose la diversidad entre poblaciones mediante coordenadas
principales, índice de Shannon y análisis multivariado permutacional.
El análisis morfológico mostró variaciones signicativas, mientras
que el análisis genético, reveló un 79,5 % de polimorsmo, indicando
una gran diversidad entre las variedades. El dendrograma reveló la
presencia de tres grupos, destacando al chiltepín como un posible
ancestro de las variedades domesticadas. El estudio resalta la
importancia de conservar y mejorar estos recursos togenéticos.
Palabras clave: chiltepín, RAPD, diversidad genética, descriptores
morfológicos
Resumo
Este estudo investigou a variabilidade genética e morfológica de
cinco variedades de pimenta domesticadas (Árbol, Güerito, Mirasol,
Negro e Alcalá) e uma variedade selvagem (chiltepín) de Chihuahua,
México. A avaliação morfológica foi realizada de acordo com o
Instituto Internacional de Recursos Genéticos Vegetais, combinando
análises de correspondência e testes de Qui-quadrado. A variabilidade
genética foi determinada pela técnica RAPD; foi construído um
dendrograma e a diversidade genética entre populações foi estimada
através dos métodos de coordenadas principais, índice de Shannon
e análise multivariada permutacional. A análise morfológica revelou
variações signicativas, enquanto a análise genética, utilizando
a técnica RAPD, mostrou 79,5 % de polimorsmo, indicando
considerável diversidade entre as variedades. O dendrograma revelou
a presença de três grupos, destacando o chiltepín como um possível
ancestral das variedades domesticadas. O estudo destaca a importância
de conservar e melhorar esses recursos genéticos vegetais.
Palavras chave: chiltepin, RAPD, diversidade genética, descritores
morfológicos
Introduction
Chili pepper (Capsicum annuum L.) is a crop of great economic
and cultural importance, with Mexico recognized as its center of
domestication and diversication (Aguilar-Meléndez et al., 2018).
The extensive genetic diversity of C. annuum has resulted in numerous
landraces and cultivated varieties adapted to diverse agroecological
conditions, particularly in northern Mexico, where environmental
factors such as temperature uctuations, soil composition, and
precipitation patterns have inuenced their evolution (Aragón-
Cuevas & de la Torre, 2015).
The Capsicum genus is widely cultivated globally, with C.
annuum being one of the most extensively grown species (Aguilar-
Meléndez et al., 2018). In Mexico, chili peppers are a key component
of both traditional cuisine and the agricultural economy Aguirre y
Muñoz, 2015), ranking second in global production with an annual
output exceeding 3.6 million tons and a production value of over
4.5 billion pesos (FAOSTAT, 2019; SADER, 2023). Furthermore,
Mexico has the highest genetic diversity of chili peppers, making it
a crucial phylogenetic resource for conservation (Contreras-Toledo
et al., 2018). However, the introduction of commercial crop varieties
and shifts in agricultural practices threaten local cultivars. The
expansion of monocultures and habitat alterations are driving genetic
erosion, putting these traditionally selected varieties at risk (Hayano-
Kanashiro et al., 2016, Rodríguez, 2019).
Understanding the morphological and genetic variability of
C. annuum populations is essential for multiple reasons. From an
agricultural perspective, identifying traits associated with resistance
to abiotic and biotic stresses can contribute to breeding programs
aimed at improving resilience and productivity (Pérez-Castañeda
et al., 2015); Constantino et al., 2020). Additionally, preserving
genetic resources is vital to maintaining biodiversity and ensuring
the sustainability of chili cultivation in the face of climate change
and pest pressures (Votava et al., 2005). Therefore, this study aims to
assess the morphological and genetic diversity between domesticated
and wild varieties of C. annuum populations from northern Mexico
by analyzing key traits, and genetic markers.
Materials and methods
Collection of plant material
In 2023, fruits from domesticated and wild chili varieties were
collected from municipalities in Chihuahua (Table 1). Three samples
of fresh red fruits were gathered from each municipality, transported
to the MAFFP laboratory at the Autonomous University of Chihuahua,
and left to dry at room temperature (24±2°C). Healthy, uniformly
sized seeds were selected and stored at 4°C for future use.
Table 1. Geographical and climatic characteristics of chili pepper
varieties.
Samples Municipalities GL MASL CT
MAP
(mm)
MAT
(°C)
Chiltepin
(CHCH)
Chínipas
27°24′0″N,
108°32′0″W
555
Dry semi-hu-
mid
781.7 23.8
Alcala (Alc) &
Arbol (A)
Aldama
28°35′40.92″N,
105°34′15.6″W
1,119 Desert 318 19.5
Negro (N) Julimes
28°32′0″N,
105°3′0″W
1,700 Hyper-arid 60 18.3
Mirasol (M) &
Güerito (G)
Delicias
28°11′36″N,
105°28′16″W
1,170 Semi-arid 334 18.8
GL= geographic location, MASL = meters above sea level, CT = climate type, MAP = man
annual precipitation, MAT = mean annual temperature.
In vitro germination and seedling production
Viable seeds were disinfected with a 10 % sodium hypochlorite
solution for 30 minutes and then rinsed with sterile water. After
disinfection, the seeds were incubated in an acidic solution at 24
± 1 °C for 48 hours, then dried on sterile paper. Twenty-ve seeds
were placed in each of the ten Petri dishes with sterile lter paper,
moistened with sterile water, and sealed. The dishes were placed in
a germination chamber with a 16-hour light/8-hour dark photoperiod
at 25 ± 1 °C for germination, and the seedlings were ready for
transplantation after 20 days. For seedling production, all in vitro
germinated seeds were placed in germination trays with peat moss
and compost substrate, then kept in a chamber at 24 ± 1 °C with a
16-hour light/8-hour dark photoperiod. Watering occurred every
3 days until the plants developed eight true leaves. Domesticated
chili seeds undergo the same disinfection process as wild varieties.
After sterilization, seeds were sown in trays, each cavity containing
This scientic publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818.
Ibarra-Legarda et al. Rev. Fac. Agron. (LUZ). 2025, 42(2): e254218
3-6 |
two seeds, and watered until they developed eight true leaves. The
seedlings were then transferred to small pots with a soil and peat moss
mix, placed in a greenhouse, and watered and fertilized every 3 days
for 12 weeks using a nutrient solution (1.5 g.L
-1
of 12-61-00 (N-P-K),
1.5 mL.L
-1
of Ca, and 1.5 g.L
-1
of 18-18-18 (N-P-K). Additionally,
3 mL.L
-1
of Nutrisorb®, 2 mL.L
-1
of Radigrow®, and 3 mL.L
-1
of
ATPUP®).
Morphological characterization
Morphological characterization was done using the International
Plant Genetic Resources Institute (IPGRI, 1995), focusing on
qualitative traits at the seedling, plant, inorescence, and seed stages.
The traits examined included hypocotyl and stem pubescence,
cotyledon leaf color and shape, stem and seed color, anthocyanin
presence, growth habit, branching and leaf density, leaf color and
shape, ower position, fruit shape at bloosom end.
Sample preparation and DNA extraction
Leaf samples were collected from 12-week-old chili plants.
For DNA extraction, 200 mg of leaf tissue was macerated and
extracted by CTAB (cetyltrimethylammonium bromide) technique
as suggested by Michiels et al. (2003) with some modications.
Genetic material was puried using the Zymo Research DNA Clean
& Concentrator™-5 kit following the manufacturers instructions.
DNA purity and concentration were evaluated using a Nanodrop
2000 spectrophotometer (Thermo Scientic, Massachusetts, USA).
DNA concentration was adjusted to 50 ng.µL
-1
for use in the RAPD
technique. Only extractions with a 260/280 ratio between 1.8 and 2.0
were used to ensure genomic DNA integrity, veried through 2 %
agarose gel electrophoresis.
RAPD analysis
For RAPD analysis, primers OPF 05 (Lanteri et al., 2003), MFG
17 (Hermosillo-Cereceres et al., 2008), OPA 02 (Bobadilla et al.,
2017), OPA 07 and OPB 11 (Bhadragoudar & Patil, 2011), OPA 20
(González-Jara et al., 2011) and AF 20 (Adetula, 2006) were selected
based on their ability to generate a higher number of polymorphic
bands. The RAPD amplication was performed according to the
methodology proposed by Khan et al. (2010), with modications. A
lettuce sample was included as an out-group. Amplied DNA was
visualized on a 2 % agarose gel using a photo-documenter (KODAK
1D 3.6). Electrophoresis was carried out at 70 V for 120 min.
Statistical analysis
Statistical correspondence analysis was performed on
morphological descriptors using RStudio (version 1.2.5033), and
Chi-square tests were conducted to assess statistical dierences
(p < 0.05). For RAPD analysis, a binary matrix was created based
on the presence or absence of amplied bands. A dendrogram was
constructed using.
Nei genetic distance and the Unweighted Pair Group Method with
Arithmetic Mean (UPGMA) algorithm were used to visualize genetic
relationships (Oksanen et al., 2020). Principal Coordinate Analysis
(PCoA) and the Shannon index were used to analyze genetic diversity.
Diversity dierences were evaluated using the Kruskal-Wallis test
(p < 0.05), followed by a PERMANOVA with 999 permutations to
assess RAPD prole dierences.
Results and discussion
Qualitative morphology
Morphological characterization is considered a crucial step in
dening and classifying germplasm (Ratna et al., 2024). Our results
conrm that the multiple qualitative descriptors presented statistically
signicant dierences among C. annuum varieties evaluated in
this study (Figures 1a & 1b). These dierences, detected through
correspondence analysis and Chi-square tests, reect the intrinsic
genetic variability of the analyzed varieties. Phenotypic diversity,
showed highly signicant dierences, with p-values below 0.001 in
descriptors such as cotyledonous leaf shape (p = 0.00119), stem color
(p < 0.001), anthocyanin at the node (p = 0.00022), stem pubescence
(p < 0.001), growth habit (p < 0.001), branching density (p < 0.001),
leaf color (p = 0.00020), leaf shape (p < 0.001), ower position (p
< 0.001), fruit shape (p < 0.001), fruit shape at the blossom end (p
< 0.001), and seed color (p < 0.001). These results demonstrate the
heterogeneity among the domesticated chili varieties and the wild
chiltepin variety, as each analyzed descriptor is key to understanding
how these chili species have adapted to dierent environmental
and cultivation conditions. Previous studies have highlighted that
morphological traits such as pubescence are important adaptations
to specic cultivation conditions, although their variability might
be limited in certain genetic groups. This trait is associated with
resistance to pests and diseases and reduced water loss, which is
particularly relevant in dry climates (Bobadilla-Larios et al., 2017).
Figure 1a. Morphological treats (cotyledonous leaf shape, stem
pubescence, leaf density, branching and plant growth
habit, nodal anthocyanin, and branching habit) of
domesticated and wild chili varieties.
Figure 1b. Morphological treats (fruit shape at blossom end, fruit
and leaf shape, seed and leaf color) of domesticated
and wild chili varieties.
Variations in leaf shape are linked to adaptive strategies and
productivity under diverse environmental conditions (Carrillo-
Montoya y Vargas-Rojas, 2023). These results reinforce leaf
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Rev. Fac. Agron. (LUZ). 2025, 42(2): e254218 April-June. ISSN 2477-9409.
4-6 |
morphology as a key indicator in taxonomy and crop genetic
improvement.
Stem color has been associated with anthocyanins, which
possess antioxidant properties and are inuenced by genetic and
environmental factors focused on abiotic stress resistance (Bobadilla-
Larios et al., 2017). Additionally, highly dierences in branching
density reect ecological adaptations as well as leaf density, although
marginal dierences was detected in the last trait (p = 0.02498).
These traits are important for optimizing agronomic management,
such as planting density, phytosanitary management, photosynthesis
potential, and fruit production to maximize yield in various cultivation
systems (Bobadilla-Larios et al., 2017; Carrillo-Montoya y Vargas-
Rojas, 2023). These adaptations may be associated with specic light
and temperature conditions. Leaf color has implications for selecting
varieties suited to dierent climatic zones, as do other described traits.
Fruit shape diversity reects both natural and articial selective
pressures. In the commercial context, preference for specic fruit
shapes can signicantly inuence product acceptance in local and
global markets, making this trait indispensable for dierentiating chili
species (Figure 2) (Bobadilla-Larios et al., 2017; Carrillo-Montoya y
Vargas-Rojas, 2023).
Figure 2. Morphology of chili fruits varieties. Domesticated
varieties: a = Alcalá, b = Árbol, c = Negro, d = Güerito, e
= Mirasol, and wild variety: f = Chiltepin.
Characterization of RAPD markers
The molecular characterization of six chili varieties generated
181 amplied bands, of which 144 were polymorphic (79.5 %).
Additionally, the number of amplied fragments ranged from 21
(OPB11) to 37 (MFG17), and the polymorphism range varied from
64 % for OPF05 to 96 % for AF20 (Table 3). In contrast, a study using
10 primers obtained only 45 polymorphic bands, ranging from 3 to 7
bands per primer (Votava et al., 2005). Achieving a high percentage
of polymorphisms could reveal greater signicant genetic variability
within the studied population (Figure 3).
Table 3. Random primers used, number of PCR amplied bands
and polimorphism.
Primers
Number of Amplied
Bands
Polymorphic
Bands
Polymorphism
(%)
MFG17 37 33 89
OPA07 24 20 83
OPF05 25 16 64
OPA20 24 18 75
OPA02 23 16 70
OPB11 21 15 71
AF20 27 26 96
Figure 3. PCR-RAPD amplication of six chili pepper varieties
using primers OPB11 (a) and OPF05 (b). (a) Lanes: 1)
MPM, 2-13) duplicate samples of domesticated chili (A,
G, M, N, Alc) and wild chili (CHCH), 14-15) duplicate
lettuce samples (L, outgroup), 16) negative control. (b)
Lanes: 17-28) duplicate samples of domesticated chili (A,
G, M, N, Alc) and wild chili (CHCH), 29-30) duplicate
lettuce samples (L, outgroup), 31) negative control, 32)
MPM.
Bobadilla-Larios et al. (2017) reported 45.45 % polymorphism
for the OPA02 marker, whereas González-Jara et al. (2011) reported
40 % for the same marker and 81.25 % for OPA20. In contrast, the
results obtained in this study showed 70 % polymorphism for OPA02
and 75 % for OPA20 (Table 3). In a similar study on C. annuum L.
genotypes, Bhadragoudar & Patil (2011) reported 88 % polymorphism
for the OPA07 molecular marker, comparable to our results (83 %
polymorphism). Meanwhile, polymorphism with the OPB11 marker
was reported to be 66.6 %, compared to polymorphism with 71 %
in our study. The distance matrix oers a clear view of the genetic
diversity, with values ranging from 0.2588 to 0.9429. The closest
genetic distance was between Güerito and Arbol samples, while the
most distant relationship was between Arbol and lettuce samples.,
where Lettuce was used as an out-group sample.
In 2017, Bobadilla-Larios et al. reported low genetic variability
(0.74 and 0.96) in their study, with the most signicant variability
among the Ancho, Calera, and Mirasol Don Luis SLP chili varieties.
Another study reported a range of genetic variability from 0.20
to 0.94 (Bhadragoudar & Patil, 2011). A study of chili samples in
Nigeria found a genetic distance (Jaccard coecient) ranging from
0.21 to 0.88, with an average of 0.61 (Adeyemo & Lawal, 2020).
These ndings align with our results.
A dendrogram was constructed, resulting in three groups
(Figure 4a). This dendrogram was generated based on the genetic
relationships among the analyzed varieties, including domesticated
chili cultivars and the wild Chiltepin chili variety. Group A includes
the lettuce population, with an average genetic similarity value of
0.70 compared to the Chili pepper varieties. Since this species does
not belong to the Capsicum genus, it was considered an out-group
sample, indicating that this result is consistent. Meanwhile, Group B
consists solely of the Chiltepin chili variety, with an average genetic
distance of 0.61. This result conrms that Chiltepin is the potencial
ancestor of other chili varieties, as mentioned by Votava et al. (2005),
González-Jara et al. (2011) and Hayano-Kanashiro et al. (2016). The
remaining domesticated chili populations were grouped into Group
C, forming two subgroups. Alcala and Negro chilies represented
the rst subgroup (C.1). In contrast, the second subgroup (C.2) was
represented by the Arbol, Güerito, and Mirasol chili samples, similar
to groups F and G reported in another study (Votava et al., 2005).
Other studies have grouped between 14 and 18 groups (Votava et
al., 2005; Bhadragoudar & Patil, 2011). Meanwhile, other authors
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Ibarra-Legarda et al. Rev. Fac. Agron. (LUZ). 2025, 42(2): e254218
5-6 |
have reported between 2 and 4 groups (Bobadilla-Larios et al., 2017;
Mbasani-Mansi et al., 2019; Constantino et al., 2020).
Figure 4. Dendrogram (a) and Principal Coordinates Analysis
[PCoA] (b). Where: Alc = Alcala, N = Negro, A = Arbol,
G = Güerito, M = Mirasol, CHCH = Chiltepin, L =
Lettuce (out-group).
A principal Coordinates Analysis (PCoA) was conducted using
distances calculated by Nei’s algorithm (Figure 4b). In this analysis,
the rst three principal components explained 89 % of the variation
in the dispersion of Capsicum annuum L. varieties. Specically,
Principal Component 1 (PCo1) accounted for 50 %, Component 2
(PCo2) explained 20 %, and Component 3 (PCo3) explained 19 %
of the variance.
In Figure 4b, clear discrimination can be observed among the
Capsicum annuum L. chili species, including Alcala, Negro, Güerito,
Mirasol, Arbol, and the wild Chiltepin chili. The results of this
experiment are consistent with those reported for Coordinate 1, with
45 % (Pacheco-Olvera et al., 2012). These ndings strongly support
the topology observed in the dendrogram Figure 4a.
The Permutational Multivariate Analysis (PERMANOVA) was
performed using a reduced model to evaluate dierences among the
samples based on the distance matrix. The analysis examined whether
signicant dierences existed in the multivariate structure among the
varieties, considering variability within groups and their similarity
or dissimilarity. The analysis revealed that the sample factor had 6
degrees of freedom, a sum of squares value of 1.98, and a coecient
of determination of 0.9445, explaining 94.45 % of the total variation.
The p-value (0.001) indicates signicant dierences among all the
samples analyzed. Identifying and correctly interpreting the genetic
relationships among the dierent genotypes studied is crucial to these
experiments.
Our study reveals that the genetic variation of chili pepper varieties
under investigation is directly related to their shared geographical
characteristics, particularly the domesticated varieties that exhibit
closer genetic proximity. This genetic proximity is supported by the
formation of group C and subgroups C.1 and C.2 in the dendrogram
(Figure 4a).
Genetic diversity of chili varieties
The Shannon index was used to calculate genetic diversity,
obtaining values higher than 4.3 for this index. A high index value
indicates greater diversity among the analyzed samples (Figure 5),
implying more alleles or genetic variability. The lowest value was
4.31 for the lettuce sample, while the highest value was attributed
to the Arbol chili, with a value of 4.58. The p-value was 0.05227
(slightly above the commonly used signicance level of p < 0.05).
This clear separation of populations can also be observed across
dierent axes in the Principal Component Analysis, accounting for
89 % of the variability. Therefore, this variety’s remarkable genetic
variability is attributed to its geographical location in the municipality
of Chínipas, Chihuahua, Mexico, at an altitude of 555 meters above
sea level. It has a warm-temperate climate and an average annual
precipitation of 781.7 mm, which signicantly diers from the
domesticated populations.
Figure 5. Diversity of analyzed chili varieties according to the
Shannon Index. Where: Alc = Alcala, A = Arbol, CHCH
= Chiltepin, G = Güerito, L = Lettuce, M = Mirasol, N =
Negro.
Conclusions
This study highlights the genetic variability between domesticated
and wild chili varieties, oering valuable insights for conservation and
breeding. Chiltepin, the potential ancestor of cultivated chilis, shows
signicant genetic diversity, supporting genetic improvement eorts
for higher yields. Morphological dierences demonstrate adaptability
and potential for yield, assisting breeding under dierent conditions.
The research emphasizes the importance of using multidisciplinary
approaches, including morphological, agronomic, and molecular
analyses, to understand species dynamics, population evolution, and
ecological interactions.
Acknowledgments
We thank to Fundación Produce, Chihuahua, A.C., for their
valuable approval and support in eld experiments, which were
essential for developing this work.
Literature cited
Adetula, O. A. (2006). Genetic diversity of Capsicum using Random Amplied
Polymorphic DNAs. African Journal of Biotechnology, 5(2), 120–122.
http://www. https://www.ajol.info/index.php/ajb/article/view/137736
Adeyemo, O. A., & Lawal, O. (2020). Assessment of Genetic Diversity based on
RAPD Analysis in Cultivars of Peppers (Capsicum annuum, Capsicum
chinense and Capsicum frutescens) Grown in Nigeria. Journal of
Scientic Research and Development
, 17(1), 48-53. http://jsrd.unilag.edu.
ng/article/view/38
Aguilar-Meléndez, A., Vázquez-Dávila, M. A., Katz, E. y Hernández Colorado,
M. R. (2018). Los chiles que le dan sabor al mundo. Primera Edición,
Editorial Marsella, 1-320. https://doi.org/10.25009/uv.2185.1087
Aguirre, H. E., y Muñoz, O. V. (2015). El chile como alimento. Ciencia, 16–23.
https://www.revistaciencia.amc.edu.mx/images/revista/66_3/PDF/Chile.
pdf
Aragón-Cuevas, F. y de la Torre, F. (2015). Conservación de las especies
subvaloradas como recursos genéticos agrícolas. Revista Digital
Universitaria, 16, 1–13. https://www.revista.unam.mx/vol.16/num5/
art37/art37.pdf
This scientic publication in digital format is a continuation of the Printed Review: Legal Deposit pp 196802ZU42, ISSN 0378-7818.
Rev. Fac. Agron. (LUZ). 2025, 42(2): e254218 April-June. ISSN 2477-9409.
6-6 |
Bhadragoudar, M. R., & Patil, C. G. (2011). Assessment of genetic diversity
among Capsicum annuum L. genotypes using RAPD markers. African
Journal of Biotechnology, 10(76), 17477–17483. https://doi.org/10.5897/
AJB11.497
Bobadilla-Larios, V., Esparza-Ibarra, E., Delgadillo-Ruiz, L., Gallegos-Flores,
P. y Ayala-Lujan, J. L. (2017). Variedades de Chile (Capsicum annuum
L.) identicadas mediante marcadores RAPD. Tropical and Subtropical
Agroecosystems, 20(3), 465-473. https://www.redalyc.org/articulo.
oa?id=93953814014
Carrillo-Montoya, K. y Vargas-Rojas, J. C. (2023). Rendimiento, características
morfológicas y calidad del chile dulce (Capsicum annuum L.) bajo dos
densidades de siembra y tipos de podas. Agronomía Mesoamericana,
53659. https://doi.org/10.15517/am.2023.53659
Constantino, L. V., Fukuji, A. Y. S., Zea, D. M., Baba, V. Y., Corte, L. E. D.,
Giacomin, R. M., Resende, J. T. V., & Gonçalves, L. S. A. (2020).
Genetic variability in peppers accessions based on morphological,
biochemical and molecular traits. Bragantia, 79(4), 443–446. https://doi.
org/10.1590/1678-4499.20190525
Contreras-Toledo, A. R., Cortés-Cruz, M. A., Costich, D., Rico-Arce, M. de L.,
Magos Brehm, J., & Maxted, N. (2018). A crop wild relative inventory
for Mexico. Crop Science, 58(3), 1292–1305. https://doi.org/10.2135/
cropsci2017.07.0452
FAOSTAT. (2019). Organización de las Naciones Unidas para la Alimentación y
la Agricultura. http://www.fao.org/faostat/es/#data/QC
González-Jara, P., Moreno-Letelier, A., Fraile, A., Piñero, D., & García-Arenal,
F. (2011). Impact of human management on the genetic variation of
wild pepper, Capsicum annuum var. glabriusculum. PLoS ONE, 6(12):
e28715. https://doi.org/10.1371/journal.pone.0028715
Hayano-Kanashiro, C., Gámez-Meza, N., & Medina-Juárez, L. Á. (2016). Wild
pepper Capsicum annuum L. var. glabriusculum: Taxonomy, plant
morphology, distribution, genetic diversity, genome sequencing, and
phytochemical compounds. Crop Science, 56(1), 1–11. https://doi.
org/10.2135/cropsci2014.11.0789
Hermosillo-Cereceres, M. A., González-García, J., Romero-Gómez, S. J., Luján-
Favela, M, Hernández-Martínez, A. y Arévalo-Gallegos, S. (2008).
Relación genética de materiales experimentales de chile tipo chilaca con
variedades comerciales. Revista Chapingo Serie Horticultura, 14(3), 301-
307. https://www.scielo.org.mx/pdf/rcsh/v14n3/v14n3a11.pdf
IPGRI. (1995). The International Plant Genetic Resources Institute. Descriptors
for Capsicum (Capsicum spp.). https://pdf.usaid.gov/pdf_docs/Pnacl679.
pdf
Khan, I. A., Akbar, N., Ahmad, H., Ghafoor, S., Begum, K., Afridi, G., &
Muhammad, I. (2010). Estimation of genetic diversity in capsicum
germplasm using randomly amplied polymorphic DNA. Asian Journal
of Agricultural Sciences, 2(2), 53–56. https://maxwellsci.com/print/ajas/
v2-53-56.pdf
Lanteri, S., Acquadro, A., Quagliotti, L., Portis`di, E., Portis`di, P., & Va, P.
R. A. (2003). RAPD and AFLP assessment of genetic variation in
a landrace of pepper (Capsicum annuum L.), grown in North-West
Italy. Genetic Resources and Crop Evolution, 50, 723-735. https://doi.
org/10.1023/A:1025075118200
Mbasani-Mansi, J., Ennami, M., Briache, F. Z., Gaboun, F., Benbrahim, N., Triqui,
Z. E. A., & Mentag, R. (2019). Characterization of genetic diversity
and population structure of Moroccan lentil cultivars and landraces
using molecular markers. Physiology and Molecular Biology of Plants,
25(4),965–974.https://doi.org/10.1007/s12298-019-00673-5
Michiels, A., Van den Ende, W., Tucker, M., Van Riet, L., & Van Laere. A. (2003).
Extraction of high‐quality genomic DNA from latex‐containing plants.
Analytical Biochemistry, 315, 85–89. https://doi.org/10.1016/S0003-
2697(02)00665-6
Oksanen, J., Blanchet, F.G., Friendly, M., Kindt, R., Legendre, P., McGlinn,
D., Minchin, P.R., O’Hara, R.B., Simpson, G.L., Solymos, P., Stevens,
M.H.H., Szoecs, E. & Wagner, H. (2020). vegan: Community Ecology
Package. https://cran.r-project.org/web/packages/vegan/vegan.pdf
Pacheco-Olvera, A., Hernández-Verdugo, S., Rocha-Ramírez, V., González-
Rodríguez, A., & Oyama, K. (2012). Genetic diversity and structure
of pepper (Capsicum annuum L.) from northwestern Mexico analyzed
by microsatellite markers. Crop Science, 52(1), 231–241. https://doi.
org/10.2135/cropsci2011.06.0319
Pérez-Castañeda, L. M., Castañón-Nájera, G., Ramírez-Meráz, M. y Mayek-
Pérez, N. (2015). Avances y Perspectivas sobre el estudio del origen
y la diversidad genética de Capsicum spp. Ecosistemas y Recursos
Agropecuarios, 2(4), 117-128. https://www.scielo.org.mx/scielo.
php?script=sci_arttext&pid=S2007-90282015000100009
Ratna, M., Chowdhury, A. K., Mahmud, F., Rohman, M. M., Ali, M. Z., Syed, M.
A., Almoallim, H.S. Ansari, M.J. & Hossain, A. (2024). Morphological
and yield trait-based evaluation and selection of chili (Capsicum annuum
L.) genotypes suitable for both summer and winter seasons. Open
Agriculture, 9(1), 20220298. https://doi.org/10.1515/opag-2022-0298
Rodríguez, C. E. (2019). La diversidad genética de Capsicum annuum de México.
In: Aguilar-Meléndez, Vásquez-Dávila, Katz y Hernández Colorado (eds)
Los chiles que le dan sabor al mundo (pp. 52–67). IRD Éditions. https://
doi.org/10.4000/books.irdeditions.30922
SADER. (2023). Secretaría de Agricultura y Desarrollo Rural. Servicios de
Información Agroalimentaria y Pesquera. Cierre Agrícola. https://nube.
siap.gob.mx/cierreagricola/
Votava, E. J., Baral, J. B., & Bosland, P. W. (2005). Genetic diversity of chile
(Capsicum annuum var. annuum L.) landraces from Northern New
Mexico, Colorado, and Mexico. Economic Botany, 59(1), 8–17. https://
doi.org/10.1663/0013-0001(2005)059[0008:GDOCCA]2.0.CO;2