Paper · 2012 · Ciência e Agrotecnologia

Genetic divergence in pepper genotypes from southwest Goiás

Renata Cristina Alvares; Edésio Fialho dos Reis; Jefferson Fernando Naves Pinto

7
claims
14
verbatim quotes
12
citations
2
research areas
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Open access · cc-by

Abstract

Knowledge on the genetic diversity in genebanks is important for germplasm conservation and use in breeding programs, where it can reduce time and costs of breeding of new genotypes. The purpose of this study was to evaluate the genetic divergence among 137 genotypes of Capsicum chinense Jacq. by morphological descriptors and multivariate techniques, with a view to the identification of groups for promising crosses for breeding programs. The experiment was conducted in a greenhouse, arranged in a randomized complete block design with four replications, where each plot consisted of a pot with one plant. The 20 descriptors recommended by the International Plant Genetic Resources Institute - IPGRI were considered for the morphological characterization. By analysis of variance, significant differences between genotypes were detected for the studied descriptors. Clustering by the Tocher optimization method formed five groups, and by the hierarchical clustering method UPGMA, 11 groups. Based on larger distances intergroup, crosses are recommended among genotypes of the groups II x V, II x IV, and I x V for the Tocher method, and by UPGMA among genotypes of the groups VI x XI, II x XI, IV x XI,. The cophenetic correlation coefficient for the hierarchical clustering method UPGMA was 0.797 (p <0.01). The traits that contributed most to the total genetic diversity were number of days to flowering and plant height.

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Claims 7

Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Pepper genotypes differed significantly across studied morphological descriptors.

Taxon
peppert0
Material
genotypese0
Outcome
studied descriptorse0

Verbatim

t0

“pepper genotypes”

✓ located verbatim in the source · title, characters 22–38 · show in text ↑
e0

“significant differences between genotypes were detected for the studied descriptors”

✓ located verbatim in the source · abstract, characters 785–868 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Tocher clustering formed five groups of pepper genotypes.

Taxon
peppert0
Outcome
groupse0
Value
five groupse0

Verbatim

t0

“pepper genotypes”

✓ located verbatim in the source · title, characters 22–38 · show in text ↑
e0

“Clustering by the Tocher optimization method formed five groups”

✓ located verbatim in the source · abstract, characters 870–933 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

UPGMA clustering formed 11 groups of pepper genotypes.

Taxon
peppert0
Outcome
groupse0
Value
11 groupse0

Verbatim

t0

“pepper genotypes”

✓ located verbatim in the source · title, characters 22–38 · show in text ↑
e0

“by the hierarchical clustering method UPGMA, 11 groups”

✓ located verbatim in the source · abstract, characters 939–993 · show in text ↑
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

Tocher group crosses II x V, II x IV, and I x V were recommended based on larger intergroup distances.

Taxon
peppert0
Outcome
crosses are recommended among genotypes of the groups II x V, II x IV, and I x Ve0

Verbatim

t0

“pepper genotypes”

✓ located verbatim in the source · title, characters 22–38 · show in text ↑
e0

“crosses are recommended among genotypes of the groups II x V, II x IV, and I x V for the Tocher method”

✓ located verbatim in the source · abstract, characters 1033–1135 · show in text ↑
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

UPGMA group crosses VI x XI, II x XI, and IV x XI were recommended.

Taxon
peppert0
Outcome
groups VI x XI, II x XI, IV x XIe0

Verbatim

t0

“pepper genotypes”

✓ located verbatim in the source · title, characters 22–38 · show in text ↑
e0

“by UPGMA among genotypes of the groups VI x XI, II x XI, IV x XI”

✓ located verbatim in the source · abstract, characters 1141–1205 · show in text ↑
Method / resourceobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

The UPGMA cophenetic correlation coefficient was 0.797.

Taxon
peppert0
Outcome
cophenetic correlation coefficiente0
Value
0.797e0

Verbatim

t0

“pepper genotypes”

✓ located verbatim in the source · title, characters 22–38 · show in text ↑
e0

“The cophenetic correlation coefficient for the hierarchical clustering method UPGMA was 0.797 (p <0.01)”

✓ located verbatim in the source · abstract, characters 1208–1311 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Days to flowering and plant height contributed most to total genetic diversity.

Taxon
peppert0
Outcome
number of days to flowering and plant heighte0
Direction
moste0

Verbatim

t0

“pepper genotypes”

✓ located verbatim in the source · title, characters 22–38 · show in text ↑
e0

“The traits that contributed most to the total genetic diversity were number of days to flowering and plant height”

✓ located verbatim in the source · abstract, characters 1313–1426 · show in text ↑