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Characterization of the phenotypic variability in Colombian weedy rice (Oryza spp.)

Published online by Cambridge University Press:  27 May 2019

Veronica Hoyos
Affiliation:
Ph.D Student, Departamento de Agronomía, Universidad Nacional de Colombia, Bogotá D.C., Colombia
Guido Plaza
Affiliation:
Associate Professor, Departamento de Agronomía, Universidad Nacional de Colombia, Bogotá D.C., Colombia
Ana L. Caicedo*
Affiliation:
Associate Professor, Biology Department, University of Massachusetts, Amherst, MA, USA
*
Author for correspondence: Ana L. Caicedo, University of Massachusetts Amherst, 611 North Pleasant St., Amherst, MA 01003. Email: caicedo@bio.umass.edu
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Abstract

Weedy rice (Oryza spp.) is considered one of the main weeds in cultivated rice (Oryza sativa L.) around the world, having a great impact on both yield and quality of crop rice. Recent studies have characterized the range of morphological and genetic diversity in weedy rice from different locations and have revealed that there is often great morphological diversity within growing regions. No systematic attempt to characterize phenotypic diversity of weedy rice in Colombia, where this group of weeds greatly affects rice production, has yet been carried out. This study seeks (1) to establish the range of variation in various morphological characters for weedy rice collected in the five production zones of Colombia and to compare these with commercial varieties and landraces sown in the country, (2) to determine the association between weedy rice morphotypes and rice production areas in the country, and (3) to assess whether any association exists between morphology and recently discovered genetic groupings for weedy rice in Colombia. Based on a sampling of rice production areas in Colombia and evaluation of 27 phenotypic traits, a two-step cluster analysis identified four morphological groups for weedy rice in Colombia. These groupings had some limited association with geography and the genetic ancestries of weedy rice. Clustering showed that awn and apiculus color and awn length and presence are the most important predictors in defining morphological groupings. Understanding and classifying the morphological diversity may be helpful in understanding weedy rice origins, evolution, and potential management practices.

Information

Type
Research Article
Copyright
© Weed Science Society of America, 2019 
Figure 0

Table 1. Vegetative and seed morphological characteristics of Colombian weedy rice populations, landraces, and commercial varieties.a

Figure 1

Figure 1. Percentage of weedy rice individuals, cultivated varieties, and landraces for different categorical variables. Abbreviations: CC, commercial crop; LR, landraces; WR, weedy rice; NA, not applicable.

Figure 2

Table 2. Vegetative and seed morphological characteristics of Colombian weedy rice according to the genetic group.a

Figure 3

Figure 2. Percentage of weedy rice individuals according to their genetic group (aus-like weeds, indica-like weeds, and admixed indica–aus weeds). Abbreviation: NA, not applicable.

Figure 4

Table 3. Distribution and frequency of weedy rice populations based on hull color in the five rice production areas.

Figure 5

Table 4. Vegetative and seed morphological characteristics of Colombian weedy rice populations, according to hull color.

Figure 6

Figure 3. Variables that constituted the main predictors for the definition of the four conglomerates of Colombian weedy rice populations. The color intensity of the bars indicates the level of importance. Abbreviations: Aw_c, awn color; Ap_c, apiculus color; Aw_l, awn length; Aw_p, awn presence; Hul_c, hull color; C_col, culm anthocyanin coloration; Rate, length:width ratio; Gr_lenH, grain length; Gr_wiH, grain width; Gr_we, 100-grain weight; Gr_len, dehulled grain length; Gr_wi, dehulled grain width; Per_c, pericarp color; dtot, days to tillering.

Figure 7

Figure 4. Absolute distributions of the variables that explain the clusters of Colombian weedy rice populations. Abbreviations: Aw_c, awn color; Ap_c, apiculus color; Aw_l, awn length; Aw_p, awn presence; Hul_c, hull color; C_col, culm anthocyanin coloration; Rate, length:width ratio; Gr_lenH, grain length; Gr_wiH, grain width; Gr_we, 100-grain weight; Gr_len, dehulled grain length; Gr_wi, dehulled grain; Per_c, pericarp color; dtot, days to tillering.

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Hoyos et al. supplementary material

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