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© 2019. This work is published under https://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

The combining ability of six watermelon genotypes was estimated in a diallel cross scheme (6x6), including genotypes JNY (1), 'ORA' (2), 'KOD' (3), 'SOL' (4), 'CHG' (5), 'PEA' (6) and all possible hybrids between them. A randomized complete block design (RCB) was used, with 36 treatments, three blocks, and plots with five plants. The following traits were evaluated: days before female flower anthesis, main branch length, fruit mass, number of fruits per plant, yield, fruit length, fruit width, pulp firmness, soluble solids content, average rind thickness, seed length, seed width, and seed mass. The data obtained were submitted to analysis of variance, and a diallel analysis was performed according to Griffing's experimental method I. According to the general combining ability estimates obtained, genotypes 'KOD' (3) and 'JNY' (1) were the most likely ones to produce hybrids with smaller-sized fruits and smaller seeds. The reciprocal effects confirmed that the results indicate that these genotypes should be used as pollen donors and pollen recipients, respectively. On the other hand, genotypes 'ORA' (2) and 'CHG' (5) can be used for the commercial exploitation of sliced watermelons. According to the specific combining ability estimates obtained, the combinations 'ORA' (2) x 'PEA' (6), 'ORA' (2) x 'JNY' (1), 'CHG' (5) x 'KOD' (3), 'PEA' (6) x 'KOD' (3), and 'CHG' (5) x 'SOL' (4) stood out as being the genotypes most likely to produce the smallest fruits and smallest seeds.

Details

Title
Watermelon general and specific combining ability
Author
do Nascimento, Tiago Lima 1 ; Souza, Flávio de França 2 ; Dias, Rita de Cassia Souza 2 ; da Silva, Edson Ferreira 1 

 Rural Federal University of Pernambuco, Recife, Brazil 
 Brazilian Agricultural Research Corporation, Petrolina, Brazil 
Pages
132-140
Section
Article
Publication year
2019
Publication date
2019
Publisher
Comunicata Scientiae
ISSN
21799079
e-ISSN
21775133
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2216250586
Copyright
© 2019. This work is published under https://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.