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Watermelon general and specific combining ability

Authors: Tiago Lima Do Nascimento; Flávio De França Souza; Rita De Cassia Souza Dias; Edson Ferreira Da Silva;

Watermelon general and specific combining ability

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
gold