The study used amplified fragment length polymorphism (AFLP) analysis to evaluate the genetic structure of a core collection of wild Phaseolus vulgaris L. AFLP is a powerful technique for detecting genetic variation, and it has been used to study the genetic diversity of a wide range of plant species.
The study found that wild Phaseolus vulgaris can be divided into four major gene pools: Mesoamerica, Colombia, the northern Andes of Ecuador and northern Peru, and the southern Andes. However, the separation among gene pools was not wide, suggesting that there has been some gene flow between them.
The study also found that there is significant genetic diversity within each gene pool. This diversity is important because it provides a pool of genetic resources that can be used to improve the cultivated common bean.
The study's findings have several important implications. First, they suggest that AFLP analysis is a useful tool for studying the genetic diversity of wild Phaseolus vulgaris. Second, they show that wild Phaseolus vulgaris is divided into four major gene pools, but that there is also significant genetic diversity within each gene pool. Third, they suggest that wild Phaseolus vulgaris is a valuable source of genetic resources for improving the cultivated common bean.
The study's findings could be used to develop new breeding strategies for the common bean. For example, breeders could use the information on genetic diversity to identify wild accessions that have desirable traits, such as resistance to pests and diseases. Breeders could then cross these wild accessions with cultivated varieties to produce new varieties with improved traits.
Overall, the study provides valuable information on the genetic diversity of wild Phaseolus vulgaris. This information could be used to develop new breeding strategies for the common bean.
MCPD passport data
MCPD - b548570b-00f9-4075-a224-b10e73c8f2a1.xlsx
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COL003
• DOI: 10.18730/PGDE4COL003
• DOI: 10.18730/PMPY1COL003
• DOI: 10.18730/PGDMACOL003
• DOI: 10.18730/PGDVHCOL003
• DOI: 10.18730/S385QCOL003
• DOI: 10.18730/JRH59COL003
• DOI: 10.18730/JHPPBCOL003
• DOI: 10.18730/JP8XWCOL003
• DOI: 10.18730/PGE0PCOL003
• DOI: 10.18730/JP9XQCOL003
• DOI: 10.18730/JP9WPCOL003
• DOI: 10.18730/PG5MDCOL003
• DOI: 10.18730/JM8ZHCOL003
• DOI: 10.18730/PGE2RCOL003
• DOI: 10.18730/PGE4TCOL003
• DOI: 10.18730/JHA6JCOL003
• DOI: 10.18730/PGE9ZCOL003
• DOI: 10.18730/PGEA*COL003
• DOI: 10.18730/JHBRZCOL003
• DOI: 10.18730/JMJX2COL003
• DOI: 10.18730/PGEEUCOL003
• DOI: 10.18730/S4QPVCOL003
• DOI: 10.18730/JNDK5COL003
• DOI: 10.18730/JNDSBCOL003
• DOI: 10.18730/PG5WNCOL003
• DOI: 10.18730/S12TRCOL003
• DOI: 10.18730/PGEQ8COL003
• DOI: 10.18730/PGER9COL003
• DOI: 10.18730/JKVY7COL003
• DOI: 10.18730/PEV2MCOL003
• DOI: 10.18730/S11HMCOL003
• DOI: 10.18730/JTK3ACOL003
• DOI: 10.18730/JTKAHCOL003
• DOI: 10.18730/JTK4BCOL003
• DOI: 10.18730/JTK5CCOL003
• DOI: 10.18730/JTK7ECOL003
• DOI: 10.18730/JTK9GCOL003
• DOI: 10.18730/JTKCKCOL003
• DOI: 10.18730/PGBQQCOL003
• DOI: 10.18730/JVYX6COL003
• DOI: 10.18730/JVZ3CCOL003
• DOI: 10.18730/JTEE9COL003
• DOI: 10.18730/JW9YTCOL003
• DOI: 10.18730/PGBRRCOL003
• DOI: 10.18730/JW1QPCOL003
• DOI: 10.18730/JWG0=COL003
• DOI: 10.18730/JW9C8COL003
• DOI: 10.18730/S1BPCCOL003
• DOI: 10.18730/PGBVVCOL003
• DOI: 10.18730/JX0A2